1. Cell Biology

A mouse model of human mitofusin-2-related lipodystrophy exhibits adipose-specific mitochondrial stress and reduced leptin secretion

  1. Jake P Mann
  2. Xiaowen Duan
  3. Satish Patel
  4. Luis Carlos Tábara
  5. Fabio Scurria
  6. Anna Alvarez-Guaita
  7. Afreen Haider
  8. Ineke Luijten
  9. Matthew Page
  10. Margherita Protasoni
  11. Koini Lim
  12. Sam Virtue
  13. Stephen O'Rahilly
  14. Martin Armstrong
  15. Julien Prudent
  16. Robert K Semple  Is a corresponding author
  17. David B Savage  Is a corresponding author
  1. Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, United Kingdom
  2. Medical Research Council Mitochondrial Biology Unit, University of Cambridge, United Kingdom
  3. Centre for Cardiovascular Science, University of Edinburgh, United Kingdom
  4. New Medicines, UCB Pharma, United Kingdom
  5. UCB Pharma, Chemin du Foriest, Belgium
  6. MRC Human Genetics Unit, University of Edinburgh, United Kingdom
https://doi.org/10.7554/eLife.82283
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Cite this article
  1. Jake P Mann
  2. Xiaowen Duan
  3. Satish Patel
  4. Luis Carlos Tábara
  5. Fabio Scurria
  6. Anna Alvarez-Guaita
  7. Afreen Haider
  8. Ineke Luijten
  9. Matthew Page
  10. Margherita Protasoni
  11. Koini Lim
  12. Sam Virtue
  13. Stephen O'Rahilly
  14. Martin Armstrong
  15. Julien Prudent
  16. Robert K Semple
  17. David B Savage
(2023)
A mouse model of human mitofusin-2-related lipodystrophy exhibits adipose-specific mitochondrial stress and reduced leptin secretion
eLife 12:e82283.
https://doi.org/10.7554/eLife.82283
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Abstract

Mitochondrial dysfunction has been reported in obesity and insulin resistance, but primary genetic mitochondrial dysfunction is generally not associated with these, arguing against a straightforward causal relationship. A rare exception, recently identified in humans, is a syndrome of lower body adipose loss, leptin-deficient severe upper body adipose overgrowth, and insulin resistance caused by the p.Arg707Trp mutation in MFN2, encoding mitofusin 2. How the resulting selective form of mitochondrial dysfunction leads to tissue- and adipose depot-specific growth abnormalities and systemic biochemical perturbation is unknown. To address this, Mfn2R707W/R707W knock-in mice were generated and phenotyped on chow and high fat diets. Electron microscopy revealed adipose-specific mitochondrial morphological abnormalities. Oxidative phosphorylation measured in isolated mitochondria was unperturbed, but the cellular integrated stress response was activated in adipose tissue. Fat mass and distribution, body weight, and systemic glucose and lipid metabolism were unchanged, however serum leptin and adiponectin concentrations, and their secretion from adipose explants were reduced. Pharmacological induction of the integrated stress response in wild-type adipocytes also reduced secretion of leptin and adiponectin, suggesting an explanation for the in vivo findings. These data suggest that the p.Arg707Trp MFN2 mutation selectively perturbs mitochondrial morphology and activates the integrated stress response in adipose tissue. In mice, this does not disrupt most adipocyte functions or systemic metabolism, whereas in humans it is associated with pathological adipose remodelling and metabolic disease. In both species, disproportionate effects on leptin secretion may relate to cell autonomous induction of the integrated stress response.

Editor's evaluation

This work describes a mouse model of a human mitofusin 2- related lipodystrophy, generated by knockin of Mfn2 R707W, and reports adipocyte-specific effects involving activation of a cellular integrated stress response and consequently reduced secretion of leptin and adiponectin. The phenotypic characterization is thorough, and the data are convincing. The work provides important information to link mitochondrial perturbation selectively with altered adipose function, and to show how these effects contribute to metabolic disease.

https://doi.org/10.7554/eLife.82283.sa0

Introduction

Mitochondrial dysfunction has been implicated in the pathogenesis of a wide range of congenital and acquired conditions (Gorman et al., 2016; Thompson et al., 2020; Craven et al., 2017). However, despite being central to cellular energy homeostasis, there has been little mechanistic evidence of a causal role for deranged mitochondrial function in human adiposity. Instead, most patients with inherited mitochondrial disorders have a neurological phenotype, although multisystem involvement is common (Gorman et al., 2016; Suomalainen and Battersby, 2018). This is true for disorders caused by many different mutations affecting mitochondrial proteins, whether encoded by the mitochondrial or nuclear genome. The mechanisms underlying such tissue-selective disease manifestations even in the face of constitutional mutations are unclear, but differing tissue requirements for oxidative phosphorylation, and interactions between the nuclear and mitochondrial genome may play a role (Pacheu-Grau et al., 2018; Alston et al., 2017; Schon and Manfredi, 2003).

We (Rocha et al., 2017) and others (Sawyer et al., 2015; Capel et al., 2018; Carr et al., 2015; Masingue et al., 2017; Piscosquito et al., 2015) recently identified biallelic R707W mutations in the nuclear MFN2 gene in patients with a remarkable adipose phenotype characterised by extreme upper body adiposity (lipomatosis) and lower body lipodystrophy. Affected patients also showed non-alcoholic fatty liver disease, dyslipidaemia and insulin resistant type 2 diabetes, likely secondary to the changes in adipose tissue. MFN2 encodes mitofusin 2, a mitochondrial outer membrane protein that plays a key role in mitochiondrial fusion and tethering to other organelles (Giacomello et al., 2020). Like patients with heterozygous complete loss-of-function mutations in MFN2, patients with the R707W mutation also often exhibit axonal peripheral neuropathy known as Charcot-Marie Tooth type 2 A (CMT2A) (Chung et al., 2006; Verhoeven et al., 2006; Neusch et al., 2007), but the adipose and metabolic phenotype has uniquely been associated with the R707W allele to date. Evidence suggesting that the MFN2 R707W mutation does disrupt mitochondrial function in humans includes elevated serum lactate in affected patients, abnormal mitochondrial morphology seen on transmission electron microscopy of affected adipose tissue (Rocha et al., 2017), and strong transcriptomic signatures of mitochondrial dysfunction and activation of the integrated stress response (ISR) in the same tissue.

Despite normal or raised whole body adipose mass, and the relatively normal histological appearance of lipomatous upper body fat, plasma leptin concentrations were very low in the patients reported by Rocha et al (Rocha et al., 2017). This observation was supported by Sawyer et al. who reported one patient with undetectable serum leptin (<0.6 ng/mL) (Sawyer et al., 2015) and Capel et al. who described five patients with serum leptin concentrations <1.6 ng/mL despite body mass indices (BMIs) within the normal range (Capel et al., 2018). Leptin is a critical endocrine signal of adipose stores and yet what determines the rate of adipocyte leptin secretion remains poorly understood (Szkudelski, 2007). This surprising observation thus offered a rare opportunity to address this important issue. Circulating leptin concentration correlates with fat mass, and is usually higher in women than men, with some adipose depots reported to release more than others (Montague et al., 1997). Leptin secretion is increased by insulin stimulation (Cammisotto et al., 2005) but this effect is modest in the context of serum leptin concentrations. Adipose depots that secrete higher leptin have increased LEP mRNA and, at least in vitro, LEP mRNA increases in response to insulin stimulation (Alvarez-Guaita et al., 2021).

Most neuropathy-associated MFN2 mutations are located within the protein’s GTPase domain (Kijima et al., 2005; Züchner et al., 2004; Feely et al., 2011; Stuppia et al., 2015), but to date, all patients with MFN2-associated multiple symmetric lipomatosis (MSL) have had at least one R707W allele. Most cases have been homozygous for the R707W mutation, with others compound heterozygous for R707W and a second, functionally null mutation (Rocha et al., 2017; Sawyer et al., 2015; Capel et al., 2018; Carr et al., 2015; Masingue et al., 2017; Piscosquito et al., 2015). Arginine 707 lies in the highly conserved heptad-repeat (HR)2 region of MFN2 but consensus on the precise orientation and/or function of this domain has not yet been established (Mattie et al., 2018). The dominant model holds that the HR2 domains of Mitofusin 1 (MFN1) and/or MFN2 face the cytosol and interact in trans, forming mitofusin homodimers or heterodimers required for mitochondrial fusion and tethering to other organelles (Koshiba et al., 2004; Franco et al., 2016). The R707W mutation may disrupt this binding and subsequent MFN oligomerisation and mitochondrial fusion/tethering.

Global knock-out of the core mitochondrial fusion-fission machinery proteins Mfn1, Mfn2, Opa1, and Drp1 in mice confers embryonic lethality in all cases (Davies et al., 2007; Ishihara et al., 2009; Chen et al., 2003). Two homozygous loss-of-function Mfn2 knock-ins - H361Y and R94W - have also been reported. H361Y was also embryonically lethal due to complete loss of detectable Mfn2 protein (Misko et al., 2010), while homozygous R94W mice died at post-natal day 1 (Strickland et al., 2014). Mfn2R94W is expressed but is GTPase defective, increasing mitochondrial fragmentation and preventing formation of Mfn2 homodimers (Li et al., 2019).

Multiple tissue-specific knock-outs of Mfn2 (and/or Mfn1) have been studied, including three in adipose tissue (Chen et al., 2007; Boutant et al., 2017; Mahdaviani et al., 2017; Mancini et al., 2019). Adipose-specific Adipoq::Cre Mfn2 knock-out increased fat mass, attributed to reduced energy expenditure, whether it occurred in embryonic life (Boutant et al., 2017) or was induced by tamoxifen in adult mice (Mancini et al., 2019), with ultrastructural evidence of more rounded mitochondria with fewer lipid droplet contacts (Boutant et al., 2017). Both Adipoq::Cre driven (adipose-specific) and Ucp1::Cre driven (brown adipose-specific) Mfn2 knock-out also caused cold intolerance with ‘whitened’ brown adipose tissue (Mahdaviani et al., 2017). Plasma leptin concentrations were not reported in Adipoq-Cre or Ucp1::Cre Mfn2 knock-outs, but leptin concentration was higher and adiponectin concentration lower in the tamoxifen-inducible adult Adipoq::Cre Mfn2 knockout model (Mancini et al., 2019).

These studies suggest that Mfn2 has a non redundant role in adipose tissues, but findings to date are not readily reconcilable with the phenotype observed in humans with the MFN2R707W mutation. We thus generated and characterised mice homozygous for Mfn2R707W to determine the extent of tissue-specific manifestations of mitochondrial dysfunction and to interrogate the effect of this mutant on adipose leptin secretion.

Results

Generation of Mfn2R707W/R707W mice

Mfn2R707W/R707W mice were generated by CRISPR-Cas9 genomic engineering using an ssODN (single-stranded oligo donor) template recoding Arginine to Tryptophan in codon 707 (Figure 1A). A single round of targeting yielded one founder (F0) mouse (Figure 1B) which was used to expand a colony on a C57/BL6J background. An additional silent mutation introducing an EcoRV restriction site was introduced to facilitate genotyping (Figure 1C and D). We first compared expression of Mfn2 and its paralogue, Mfn1, in knock-in (KI) mice and wild-type (WT) littermates in order to determine if the R707W change perturbed expression of the mutant Mfn2 protein and/or resulted in a compensatory change in Mfn1. We observed no consistent differences in Mfn1 or Mfn2 expression, relative to WT, in inguinal white adipose tissue (WAT), liver, heart, or skeletal muscle in both chow and high-fat diet (HFD) fed mice (Figure 1E, Figure 1—figure supplements 1–4). However, in brown adipose tissue (BAT) expression of Mfn1 was lower in KI than in WT mice fed with chow diet for 6 months (Figure 1—figure supplements 1D and 2D). Similarly, expression of Mfn1 was lower in KI than WT mice after only 4 weeks of chow diet (Figure 1—figure supplements 1G and 2G). In HFD-fed mice, both Mfn1 and Mfn2 expression was lower in BAT in KI compared to WT mice (Figure 1E, Figure 1—figure supplements 3D and 4D). In epididymal WAT, expression of Mfn1 was also lower in KI than in WT mice fed with chow diet (Figure 1—figure supplements 1F and 2F), but no differences were observed in HFD-fed mice (Figure 1—figure supplements 3F and 4F). We interpret these data as suggesting that the R707W missense mutation does not directly reduce expression of Mfn2, nor does it result in a compensatory change in Mfn1 in most tissues. However, in BAT the data suggests that the cellular perturbation induced in brown adipocytes is associated with a very modest reduction in expression of Mfn1 and 2.

Figure 1 with 4 supplements see all
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Generation of a Mfn2R707W knock-in mouse.

(A) Wild-type (WT) nucleotide and amino acid sequence around the Arg 707 codon. The CRISPR/Cas9 nuclease target is indicated in green. Below is part of the ssODN template with mutated nucleotides in blue, including the upstream silent mutation (at codon 704–705) to generate an EcoRV restriction site. (B) Sanger sequencing confirmation of the knock-in (KI) with restriction site in a founder (F0). (C) Illustration of the genotyping strategy: mutant alleles will digest into 327 bp and 196 bp fragments in response to EcoRV digestion. (D) Ear biopsies were digested using chelix and Mfn2 amplified by PCR, then digested using EcoRV. Representative SYBR Safe DNA gel demonstrating genotyping for two WT, heterozygous, and homozygous KI mice. Image is representative of other genotyping gels. (E) Western blot from inguinal and epididymal white adipose tissue (WAT), brown adipose tissue (BAT), liver and skeletal muscle for expression of Mfn1 and Mfn2. Tissues are from WT and homozygous Mfn2R707W KI mice fed a 45% kcal high fat diet (HFD) for 6 months. Due to variability across tissues, both Gapdh and Beta-tubulin (Tubb) are given as loading controls. The image is representative of at least three biological replicates.

Figure 1—source data 1

Raw and annotated immunoblots from Figure 1E.

https://cdn.elifesciences.org/articles/82283/elife-82283-fig1-data1-v4.zip

Mfn2R707W/R707W mice show adipose-selective alterations of mitochondrial structure and function

Next, we used transmission electron microscopy (TEM) to examine mitochondrial ultrastructure (Figure 2A). In BAT, mitochondria from KI mice had a tendency to exhibit a decreased mitochondrial perimeter compared to WT mice (Figure 2B), but significantly reduced size, assessed by the mitochondrial cross-sectional length/ width aspect ratio analysis (Figure 2C), indicating that Mfn2R707W leads to mitochondrial fragmentation in BAT. Double membrane-bound structures representing autophagosomes consistent with mitophagy were observed in lipomatous adipose tissue from human patients with the MFN2R707W mutation (Rocha et al., 2017), but these were not identified in the murine tissues examined. Mitofusins may mediate contact between mitochondria and lipid droplets (Boutant et al., 2017), and the extent of these contacts was reduced in BAT from KI animals (Figure 2D). In addition, mitochondrial cristae were disrupted in KI compared to WT animals (Figure 2E). In both inguinal (Figure 2—figure supplement 1A–C) and epididymal WAT (Figure 2—figure supplement 1D–F), similar mitochondrial fragmentation and cristae defects were observed. In contrast, no change in mitochondrial morphology, cristae number, or cristae structure was seen in the heart, skeletal muscle, or liver of KI mice (Figure 2—figure supplement 2).

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Effect of Mfn2R707W on mitochondrial structure and function.

(A) Representative transmission electron microscopy (TEM) images of BAT with zoomed-in images of mitochondria (highlighted in yellow) bordering lipid droplets (outlined in red). (B) Quantification of mitochondrial perimeter from TEM on BAT. Each dot represents data from an individual mitochondrial cross section with each diamond showing the separate 6 biological replicates. p.adj gives the FDR-adjusted p-value from across all TEM analyses. (C) Quantification of mitochondrial aspect ratio (length/width) from TEM of BAT. (D) Quantification of mitochondrial-lipid droplet contact from TEM, expressed as proportion (%) of lipid droplet in contact with mitochondrial membrane on BAT. (E) Number of cristae per mitochondrion from TEM of BAT. (F–G) Mitochondrial DNA content in tissues from mice fed chow diet (F) or HFD (G) for 6 months. Each data point represents a separate animal. p-values are from pairwise comparisons (T-tests) between WT and Mfn2R707W KI that are FDR-adjusted for multiple tests (* p-FDR <0.05). WT in blue, homozygous Mfn2R707W KI in green. AU, arbitrary units.

Perturbed mitochondrial dynamics have been associated with decreased mitochondrial DNA (mtDNA) content, as replication of mtDNA relies on balanced fusion and fission (Silva Ramos et al., 2019). In Mfn2R707W/R707W mice, mtDNA was reduced in BAT in both diet conditions, but not in any other tissue analysed (WAT, heart, skeletal muscle, or liver) (Figure 2F–G). Immunoblotting of electron transport chain components from chow fed animals showed no changes in liver or heart (Figure 2—figure supplement 3A–B and Figure 2—figure supplement 4A–B). However, mtCo1 (complex IV) and Ndufb8 (complex I) were reduced in KI mice in brown and white adipose tissue (Figure 2—figure supplement 3C–E and Figure 2—figure supplement 4C–E). In addition, Uqcrc2 (complex III) was also lower in inguinal WAT.

To determine if these changes altered mitochondrial oxidative phosphorylation, we assessed oxidative capacity in freshly isolated mitochondria from BAT and liver by high-resolution respirometry using Oroboros Oxygraphy. No significant differences were detected between WT and KI mitochondria (Figure 2—figure supplement 5A–B). We further assessed mitochondrial function in BAT in vivo by challenging mice with noradrenaline in cold (10 degrees) or thermoneutral (30 degrees) conditions to determine maximum thermogenic capacity. Again, despite a trend towards reduced thermogenic capacity in KI animals, the difference was not significant, and both groups manifested the expected increase in energy expenditure at 10 °C (Figure 2—figure supplement 5C–G).

Body composition and metabolic phenotype of Mfn2R707W/R707W mice

We next assessed whether Mfn2R707W/R707W mice phenocopy the severely abnormal adipose topography and metabolic abnormalities of patients harbouring the same mutations. Male mice fed with either chow or HFD for up to 6 months were assessed. Whole body mass and composition, and masses of individual adipose depots and other organs were similar in KI and WT mice throughout the study period (Table 1, Figure 3A–C and Figure 3—figure supplement 1A–D). Moreover, no difference in hepatic steatosis nor lipid droplet size was detected histologically in BAT or WAT (Figure 3D–E and Figure 3—figure supplement 1F–G). In keeping with the normal body composition, fasting serum glucose, insulin, triglycerides, cholesterol, lactate, and liver transaminase concentrations showed no difference between WT and KI mice (Figure 3F–I and Figure 3—figure supplement 1E, H). There was also no differences in hepatic expression of genes related to lipid metabolism or steatohepatitis (Figure 3—figure supplement 1). Dynamic testing of glucose and insulin tolerance was also similar between genotypes (Figure 3G–K).

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No difference in fat mass or glucose homeostasis in Mfn2R707W mice compared to WT mice on chow or high fat diet.

Seven-week-old mice were fed chow (n=8–12) or 45% kcal HFD (n=13–14) for 6 months. (A) Absolute body mass for mice fed chow (solid line) and HFD (dashed line) over 6 months. (B) Time-domain nuclear magnetic resonance (TD-NMR) measurement of fat and lean mass of mice fed HFD. (C) The ratio of tissue weights versus body mass for multiple tissues, including four WAT depots, from mice fed HFD. (D) Quantification of lipid droplet area from histological specimens of adipose tissue from mice fed HFD for 6 months. (E) Representative histological images from WAT, liver, and BAT from mice fed HFD. Analyses of mouse plasma lactate (F), plasma glucose (G), and insulin (H), homeostatic model of assessment of insulin resistance (HOMA-IR, I) after a 6 hr fast. Change in plasma glucose during intraperitoneal glucose tolerance test (J) and intraperitoneal insulin tolerance test (K). ns, p>0.05 on unpaired T-tests, adjusted for multiple comparisons. WT in blue, homozygous Mfn2R707W KI in green. Each data point represents an individual animal.

Table 1
Weights and serum biochemistry for mice on chow or high fat diet for 6 months.

Seven-week-old mice were fed chow (n=8–12) or 45% kcal HFD (n=13–14) for 6 months. Blood was taken 4 weekly with 6 hr fasting blood taken on week 24. p-FDR are false-discovery rate adjusted p-values derived from unpaired T-tests. Values in brackets referred to standard error of the mean. ALT, alanine aminotransferase; AST, aspartate aminotransferase; FGF21, fibroblast growth factor 21; Gdf15, Growth and differentiation factor 15; HOMA-IR, Homeostatic Model Assessment for Insulin Resistance; NEFA, non-esterified fatty acids.

Chow dietHigh-fat diet
WTKnock-inp-FDRWTKnock-inp-FDR
Weight (g)39.9 (1.2)40.9 (1.4)148.4 (1.7)45.7 (1.5)0.51
Lean mass (g)19.97 (0.44)20.53 (0.53)0.8516.50 (0.39)15.51 (0.42)0.2
Fat mass (g)12.41 (0.97)12.67 (1.29)122.39 (1.63)24.09 (1.10)0.79
 Leptin (ug/L)
 4 weeks
 8 weeks
 12 weeks
 24 weeks (fasting)		3.6 (0.9)
4.5 (0.8)
7.6 (0.4)
15.4 (3.4)		1.3 (0.2)
1.6 (0.3)
2.3 (0.5)
6.0 (1.3)		0.17
0.056
0.045
0.047		14.3 (2.6)
20.8 (3.3)
19.3 (4.0)
57.0 (8.9)		4.8 (0.5)
8.6 (0.9)
11.4 (1.5)
15.6 (1.5)		0.01
0.007
0.31
0.003
 Adiponectin (mg/L)
 4 weeks
 8 weeks
 12 weeks
 24 weeks (fasting)		24.8 (1.0)
20.0 (0.7)
29.0 (1.4)
29.0 (2.3)		16.4 (2.3)
11.0 (0.7)
14.7 (0.7)
15.4 (2.3)		0.068
1.50E-05
4.50E-05
0		21.0 (0.4)
29.4 (1.4)
33.0 (0.8)
27.9 (0.9)		11.0 (3.3)
16.0 (0.7)
18.2 (0.9)
15.5 (0.6)		4.20E-10
5.30E-07
7.20E-09
4.30E-09
 Fgf21 (ng/L)
 20 weeks
 28 weeks		238 (26)
444 (51)		292 (22)
638 (96)		0.50
0.24		2,655 (203)
3,355 (911)		2,475 (268)
2,919 (289)		1
1
Gdf15 (ng/L)
(28 weeks)		132 (6)172 (14)0.067250 (36)217 (23)1
Glucose (mmol/L)10.0 (0.5)10.4 (0.4)111.7 (0.5)11.4 (0.5)1
Insulin (µg/L)
(33 weeks)		1.8 (0.3)2.0 (0.3)11.7 (0.2)1.2 (0.1)0.17
HOMA-IR141.3 (29.0)159.2 (23.3)1152.2 (22.9)104.8 (12.1)0.26
Insulin (µg/L)
(GTT baseline)		1.8 (0.4)2.3 (0.7)12.3 (0.4)1.4 (0.1)0.1
Lactate (mmol/L)4.2 (0.3)4.4 (0.2)14.5 (0.4)4.8 (0.2)1
NEFA (µmol/L)1,688 (78)1,564 (46)0.39922 (87)1030 (90)0.90
TG (mmol/L)1.1 (0.1)1.0 (0.1)10.8 (0.1)0.7 (0.0)0.76
Total cholesterol (mmol/L)3.0 (0.1)3.1 (0.1)16.3 (0.3)5.2 (0.2)0.042
ALT (IU/L)64 (6)68 (5)1144 (33)45 (9)0.076
AST (IU/L)114 (20)118 (16)1207 (32)162 (22)0.65

Similar results were observed in female mice harboring the Mfn2R707W mutation. Specifically, there was no difference in body weight, fat mass, fasting glucose or insulin between high-fat fed WT and KI mice (Figure 3—figure supplement 2A–C).

Adipose-tissue specific activation of the integrated stress response in Mfn2R707W mice

Mitochondrial dysfunction is sensed by cells, and triggers a series of adaptive responses to maintain mitonuclear balance and cellular homeostasis (Melber and Haynes, 2018). Precise sensing and transducing mechanisms vary among different forms of mitochondrial perturbation (D’Amico et al., 2017), and show some redundancy (Condon et al., 2021). Although details of the integration of these mechanisms in different tissue and cellular contexts are not fully elucidated, it is clear that the transcription factor Atf4 plays a crucial role (Lu et al., 2004). Atf4 is translationally upregulated following phosphorylation of eIF2α, which is a point of convergence of several cellular stress sensing pathways. The canonical eIF2α kinase HRI is most closely implicated in linking mitochondrial dysfunction to eIF2α phosphorylation (Guo et al., 2020; Fessler et al., 2020), but mTORC1 appears to play a role in Atf4 upregulation independently of eIF2α phosphorylation (Ben-Sahra et al., 2016). The response to sustained mitochondrial dysfunction overlaps significantly with the response to many other cellular stressors including unfolded protein induced stress (i.e. the unfolded protein response [UPR]), and is best characterised as a cellular ISR (Youle and van der Bliek, 2012).

Strong transcriptional evidence of ISR activation was found in adipose tissue of patients with MFN2R707W-related lipodystrophy (Rocha et al., 2017). We thus screened multiple tissues from the KI mice for ISR activation. mRNA levels of Atf4, Atf5, and Ddit3 (Chop), all sentinel markers of the ISR, were increased in BAT and epididymal WAT of KI mice (Figure 4A–C). Ddit3 was also higher in inguinal WAT from KI animals. mRNA levels of Atf4, Atf5, and Ddit3 (Chop) were unchanged in liver, heart, and skeletal muscle, except for a 1.4-fold rise in Atf5 (p.adj=0.03) in skeletal muscle only. Phosphorylation of eIF2α and protein expression of Mthfd2, an Atf4-upregulated enzyme playing a rate-limiting role in mitochondrial one carbon metabolism (Shin et al., 2017; Forsström et al., 2019; Khan et al., 2017), were also both strongly increased in BAT and in WAT in KI mice (Figure 4D–F and Figure 4—figure supplement 1E–G and Figure 4—figure supplement 2), whereas they were unchanged in the liver, skeletal muscle, and heart. mRNA expression of two important secreted mediators of the organismal metabolic response to mitochondrial dysfunction, Gdf15 and Fgf21, trended towards an increase in adipose tissue, but serum concentrations were unchanged in KI mice (Figure 4—figure supplement 1A–D). This differs from observations in patients with MFN2R707W-related lipodystrophy (Khan et al., 2017; Fisher and Maratos-Flier, 2016; Patel et al., 2019), and may relate to the fact that such patients manifest non-alcoholic fatty liver disease, which was not seen in the KI animals.

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Mfn2R707W causes an adipose-tissue-specific induction of the integrated stress response.

qPCR of genes involved in the integrated stress response (ISR) for six tissues from animals fed chow diet for 6 months: Atf4 (A), Ddit3 (Chop, B), and Atf5 (C). Each data point represents one animal. Target gene CT values were normalised to three housekeeping genes (36b4, B2m, and Hprt) and expressed relative to WT liver for each gene. WT in blue, homozygous Mfn2R707W in green. p-values are FDR-adjusted for multiple tests. Western blots from BAT (D), epididymal WAT (E), and liver (F) illustrating Ser51-phosphorylation of eIF2α and expression of Mthfd2 with calnexin (Canx) as loading control. Western blots are representative of at least three biological and technical replicates. (G) Volcano plot from bulk RNA sequencing (n=8 per genotype) of inguinal WAT from mice on HFD. Significantly differentially expressed genes (Log2 fold change >1.5 and p-FDR <0.001) are highlighted in orange. Pathway analysis using significantly differentially expressed genes for upregulated (H) and downregulated (I) Hallmark gene sets. The X-axis depicts a relative gene set enrichment score. All illustrated gene sets are enriched with p-FDR <0.05. Asterisks indicate p-values from pairwise comparisons (T-tests) between WT and Mfn2R707W KI that are FDR-adjusted for multiple tests (* p-FDR <0.05, ** p-FDR <0.01, *** p-FDR <0.001, **** p-FDR <0.0001).

Figure 4—source data 1

Raw and annotated immunoblots from Figure 4D–F.

https://cdn.elifesciences.org/articles/82283/elife-82283-fig4-data1-v4.zip

Given the recent evidence implicating HRI kinase as a key mediator of eIF2α phosphorylation induced by mitochondrial dysfunction (Guo et al., 2020; Fessler et al., 2020), we next sought to determine if this pathway was active in R707W KI mice. The pathway activating HRI kinase was reported to be initiated by activation of the metalloendopeptidase Oma1 (Baker et al., 2014; Anand et al., 2014). In addition to cleaving Dele1 (Harada et al., 2010), which activates HRI kinase, Oma1 also cleaves Opa1 (optic atrophy type 1) (Head et al., 2009) and itself upon activation. We thus immunoblotted tissue lysates for Opa1 and Oma1. No evidence for Oma1 activity was found in liver, skeletal muscle or heart (Figure 4—figure supplement 3). In BAT, we did detect a modest change in Oma1 expression and a slight increase in the short / long Opa1 ratio, providing some evidence that the pathway may be activated (Figure 4—figure supplement 4). However, the differences observed were small precluding a confident conclusion at this stage. In WAT, clear bands for all five Opa1 forms could not be visualised on repeated attempts and so we did not attempt to quantify the data. Current WAT data thus do not suggest Oma1 activation (Figure 4—figure supplement 4C–D). As far as we are aware, Oma1 activation has yet to be examined in Mfn2 tissue-specific KO models so we cannot infer anything from those studies either. Thus we conclude that the ISR is activated in selected tissues in the KI mice, but the question of how this is linked to the Mfn2 R707W mutation remains open.

To obtain an unbiased view of the transcriptional consequences of the lipodystrophy-associated Mfn2 mutation, we next applied bulk RNA sequencing (RNAseq) to BAT and inguinal WAT from HFD-fed mice. Inguinal, rather than epididymal, WAT was selected as subcutaneous adipose tissue is predominantly affected in human MFN2-related and other partial lipodystrophies (Mann and Savage, 2019). Induction of the ISR was confirmed in both BAT and WAT (Figure 4G–I and Figure 4—figure supplement 5), with the “unfolded protein response” gene set, a surrogate for the ISR, the top upregulated gene set in BAT and 6th in inguinal WAT. Atf5 and Mthfd2 were confirmed among the most highly upregulated mRNAs in both tissues, and a range of other well established ISR genes also showed increased expression. These included Ddit3 (Chop), Trib3, an Atf4-driven ISR component that exerts negative feedback on the ISR, and Gadd45a, involved in ISR-induced G2/M checkpoint arrest (Lee et al., 2019).

The top upregulated gene set in inguinal WAT was ‘oxidative phosphorylation’, driven solely by increased expression of nuclear-encoded mitochondrial genes (Figure 4—figure supplement 1H). In contrast, mitochondria-encoded genes were nearly universally downregulated (Figure 4—figure supplement 1I), recapitulating the pattern seen in affected human WAT (Rocha et al., 2017). In BAT, a similar but weaker pattern was seen on inspection of heatmaps, but this was not sufficient to reach statistical significance.

Another finding common to mouse and human was the transcriptional evidence of mTORC1 activation. The ‘mTorc signalling’ gene set was the second most upregulated group in BAT and third most upregulated in WAT (Figure 4—figure supplement 5B, E). This activation is consistent with the proposed role for mTORC1 in mediating the proximal ISR (Ben-Sahra et al., 2016), and is of interest given accumulating evidence that the mTORC1 inhibitor sirolimus may exert beneficial effects in various mitochondrial diseases (Johnson et al., 2013).

Although no increase in adipose tissue mass was seen in Mfn2R707W mice the ‘adipogenesis’ gene set was upregulated in inguinal WAT under both diet conditions (Figure 4H, Figure 4—figure supplement 5B). However, closer inspection revealed a mixed profile of individual gene expression. The most consistent finding was downregulation of the adipokine-encoding mature adipocyte genes Adipoq and Lep in Mfn2R707W mice (discussed below). Adipoq and Lep were also downregulated in BAT (fold changes 0.64 (p.adj=6.3 × 10–4) and 0.31 (p.adj=0.03) respectively), but the adipogenesis gene set was not enriched overall (Figure 4—figure supplement 5E).

To assess for other potential drivers of adipose hyperplasia, we also examined downregulated gene sets. The signature of epithelial-mesenchymal transition (EMT) was the most strongly down-regulated set in mouse BAT and WAT (Figure 4I, Figure 4—figure supplement 5C, F), and was also previously found to be downregulated in overgrown human WAT in MFN2-associated multiple symmetric lipomatosis (Rocha et al., 2017). In bulk transcriptomic data it is not possible to discern the cell type(s) responsible for this consistent signature. However, TGFβ family ligands are important mediators of EMT, some family members inhibit adipogenesis (Zamani and Brown, 2011), and they also play important roles in regulating mitochondrial function and in responding to mitochondrial dysfunction (Casalena et al., 2012).

We next sought to assess whether the increased demand for adipose expansion imposed by HFD feeding exacerbates the transcriptional consequences of Mfn2 R707W homozygosity. RNAseq was thus undertaken of inguinal WAT from mice maintained on HFD for 6 months. Comparison to WT animals revealed strikingly concordant findings to those seen in chow-fed mice (Figure 4—figure supplement 5G). No general differences were seen in the magnitude of transcriptional changes induced by Mfn2 R707W homozygosity between conditions. Oxidative phosphorylation, unfolded protein response and adipogenesis Hallmark gene sets were strongly upregulated, whereas genes in the EMT set were downregulated in KI mice on both diets. An exception was the group of mRNAs related to cholesterol homeostasis, for which diet strikingly modified the effect of genotype. They were the top downregulated gene set in inguinal WAT in HFD-fed animals but were not significantly altered on chow in the same depot and were upregulated in BAT (Figure 4I, Figure 4—figure supplement 5E). Lower expression of key enzymes in cholesterol metabolism (e.g. Hydroxymethylglutaryl-CoA synthase [Hmgcs1], mevalonate kinase [Mvk], and squalene monooxygenase [Sqle]) in WAT on HFD is consistent with the response to inhibition of the mitochondrial respiratory chain in primary human fibroblasts (Wall et al., 2022).

Lower circulating leptin and adiponectin in mice homozygous for Mfn2R707W

One of the most striking aspects of the Mfn2R707W-associated lipodystrophy phenotype is the low or undetectable serum leptin concentration despite abundant whole body adiposity, accounted for mostly by excess upper body adipose tissue of relatively normal histological appearance (Rocha et al., 2017). Serum adiponectin concentrations are also low, however this is in keeping with the ‘adiponectin paradox’ widely seen in obesity with insulin resistance (Arita et al., 1999). Mirroring these human observations, KI mice showed low-serum leptin and adiponectin concentrations on both chow and HFD (Figure 5A–C), although unlike humans, the mice had normal fat mass and insulin sensitivity. In both WT and KI mice, serum leptin concentrations correlated positively with whole body adiposity on chow and HFD, but a generalised linear model revealed marked attenuation of the relationship between serum leptin concentration and adipose mass in the KI mice (Figure 5C, Figure 5—figure supplement 1A). Immunoblotting of WAT samples from KI mice fed a HFD confirmed that both leptin and adiponectin expression was reduced (Figure 5—figure supplement 2). Findings were similar in female mice, in which serum adiponectin was significantly lower in KI mice (Figure 3—figure supplement 2F), with a trend towards lower leptin (Figure 3—figure supplement 2G–I).

Figure 5 with 2 supplements see all
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Mfn2R707W decreases adipose secretion of leptin and adiponectin.

Fasting serum leptin (A) and adiponectin (B) from mice after 6 months on chow diet or HFD. Asterisks indicate t-tests comparing WT and Mfn2R707W KI with p-values adjusted for multiple testing. (C) Relationship between leptin and body weight for animals fed HFD. Each data point represents one measurement of leptin, with multiple measurements per animal. Shaded area represents the 95% confidence interval. Data are from n=13–14 animals. qPCR of Lep (D) and Adipoq (E) from WAT depots. Each data point represents data from a separate animal. Target gene CT values were normalised against three housekeeping genes (36b4, B2m, and Hprt) and expressed relative to WT for each condition. (F–I) mRNA expression of Atf4, Chop, Lep, and Adipoq in primary adipocytes treated with either DMSO control or Thapsigargin (TG, 150 nM) or Tunicamycin (TN, 5 μg/mL) for 6 hr. Each data point represents an individual well from a separate biological experiment (n=5). Asterisks indicate significance on one-way ANOVA with correction for multiple comparisons. (J) Leptin and (K) Adiponectin secretion from primary adipocytes treated with either DMSO control or Thapsigargin (TG, 150 nM) or Tunicamycin (TN, 5 μg/mL) over 6 hr. Asterisks indicate significance on one-way ANOVA with correction for multiple comparisons. (L) Representative western blots of primary adipocytes treated with either DMSO control or Thapsigargin (TG, 150 nM) or Tunicamycin (TN, 5 μg/mL) for 6 hr. (M) Fasting serum adipsin (complement factor D) from mice after 6 months on chow diet or HFD. Asterisks indicate p-values from pairwise comparisons (T-tests) between indicated groups that are FDR-adjusted for multiple tests (* p-FDR <0.05, ** p-FDR <0.01, *** p-FDR <0.001, **** p-FDR <0.0001).

Figure 5—source data 1

Raw and annotated immunoblots from Figure 5L.

https://cdn.elifesciences.org/articles/82283/elife-82283-fig5-data1-v4.zip

RNAseq showed Lep mRNA in inguinal WAT to be lower in Mfn2R707W than in WT mice under both chow (fold change 0.35; p.adj=3.2 × 10–4, Figure 4—figure supplement 5A) and HFD (fold change 0.66; p.adj=5.3 × 10–4, Figure 4G). Adipoq mRNA was also significantly lower in chow (fold change 0.66; p.adj=2.7 × 10–4, Figure 4—figure supplement 5A) and HF-fed mice (fold change 0.57; p.adj=3.3 × 10–15, Figure 4G). RT-qPCR analysis confirmed lower Lep mRNA in epididymal WAT from chow fed Mfn2R707W animals (Figure 5D). RT-qPCR analysis also found 50% lower Adipoq mRNA in both inguinal and epididymal WAT in chow fed Mfn2R707W mice and in inguinal WAT from HFD fed Mfn2R707W mice (Figure 5E).

To assess leptin secretion directly, we studied production of adipokines from adipose explants. Explants from KI mice fed on HFD for 4 weeks showed lower secretion of leptin and adiponectin per gram of tissue (Figure 5—figure supplement 1A–B). KI explants also exhibited minimal increase in leptin secretion after insulin and dexamethasone stimulation. Adipoq mRNA was lower in KI than WT explants at baseline whereas Lep mRNA was no different at baseline but failed to increase in KI explants following insulin and dexamethasone stimulation (Figure 5—figure supplement 1C).

To assess whether induction of the ISR in adipose tissue may be responsible for the relative leptin deficiency in both humans and mice homozygous for MFN2 R707W, we studied adipocytes freshly isolated from mouse gonadal fat in floating culture, adapting a recently described protocol (Li et al., 2021). We induced the ISR using each of two different well characterised activators, namely thapsigargin (TG), an inhibitor of the endoplasmic reticulum (ER) Ca2+ ATPase that depletes ER calcium (Wictome et al., 1992; Harding et al., 2000), or tunicamycin (TN), which blocks protein glycosylation. ISR induction was confirmed by increased Atf4 and Ddit3 mRNA and/or protein expression, and by eIF2α phosphorylation (Figure 5F–L). Lep mRNA was modestly reduced by TG but not by TN (Figure 5H), whereas both agents reduced intracellular leptin protein expression (Figure 5L) and secretion (Figure 5J). Expression of adiponectin was also reduced without a change in mRNA level whereas expression of Akt and the insulin receptor beta subunit were not altered (Figure 5I and K & L). These data suggest that ISR activation may have a bigger impact on secreted proteins than on intracellular proteins, in keeping with the previous suggestion that the ISR tends to prevent a fall in intracellular amino acid concentrations (Harding et al., 2000). In seeking to validate this notion, we proceeded to measure the serum concentration of adipsin, another ‘adipokine’ selectively secreted by adipocytes. Serum adipsin concentrations were significantly lower in the KI mice than in WT controls in both chow- and HFD-fed mice (Figure 5M), suggesting that low serum leptin and adiponectin may be part of a wider pattern of reduced adipocyte-derived secreted proteins in MFN2R707W KI mice.

Discussion

The recent discovery that humans homozygous for the MFN2 R707W mutation manifest striking adipose redistribution associated with serious metabolic disease is probably the clearest example to date of a causal link in humans between a mitochondrial perturbation and adipose dysregulation. MFN2-related lipodystrophy has some remarkable and currently poorly understood features. These include: (a) a marked and often dramatic increase in upper body adiposity, contrasting with loss of lower limb adipose tissue; (b) a severe reduction in plasma leptin concentration despite abundant, histologically near-normal upper body fat. These problems have to date been associated only with the R707W mutation. To investigate the molecular pathogenesis of MFN2 R707W-related lipodystrophy, and the role of MFN2 in leptin synthesis and secretion, we generated and characterised homozygous Mfn2R707W/R707W mice.

Mfn2 knock-out mice die in early embryogenesis (Chen et al., 2003) while mice homozygous for either of two human neuropathy-associated, GTPase null missense mutations (H361Y or R94W) die on day 0–1 (Strickland et al., 2014). Mfn2 is nearly ubiquitously co-expressed with its closely related paralogue Mfn1, and this demonstrates that it has essential, non-redundant functions. Homozygous Mfn2 R707W mice, in contrast, were viable and bred normally, showing that Mfn2 R707W retains significant function. Mfn2 also has key metabolic functions in mature adipocytes: mice lacking Mfn2 in all adipocytes (Boutant et al., 2017) or in brown adipocytes alone (Mahdaviani et al., 2017) did not show reduced adipose tissue, but they did exhibit lower energy expenditure, reduced expression of multiple oxidative phosphorylation subunits, and impaired cold tolerance. Paradoxically, however, both lines were protected from systemic insulin resistance. Mice in which Mfn2 was deleted in all adipocytes in adulthood showed increased obesity and elevated blood glucose (Mancini et al., 2019). In contrast, homozygous Mfn2 R707W mice showed no overt change in adipose mass, metabolic function, or thermogenic capacity even though the genetic alteration was constitutional. This confirms some retained Mfn2 function also in adipose lineages.

Primary anatomical and/or functional defects in humans with MFN2 R707W homozygosity have been observed only in adipose tissue and peripheral nerves, with some but not all people reported to have sensorimotor neuropathy. Such neuropathy is commonly observed in people with heterozygous loss of MFN2 function (Chung et al., 2006; Pipis et al., 2020). Although homozygous Mfn2 R707W KI mice had no overt anatomical adipose abnormality, and failed to show obvious neurological phenotypes, ultrastructural studies did reveal mitochondrial network disruption in adipose tissues, but not liver, skeletal muscle, or heart. The structural changes in mouse adipose mitochondria resembled those in adipose tissue from patients homozygous for the MFN2 R707W mutation (Rocha et al., 2017), and in both species these were associated with robust activation of the ISR, which was also seen previously in tissue-specific Mfn2 knock-out mice (Sebastián et al., 2012). The ISR was not activated in liver, muscle, and heart, strengthening evidence that Mfn2 R707W has deleterious effects selectively in adipose tissue. We cannot conclusively exclude the possibility that tissues other than brown and white adipose tissue are affected, as we have not studied every tissue in the mice or patients, but if present, it is not associated with overt phenotypes.

The reason for adipose-selectivity of abnormalities in Mfn2 R707W homozygous mice is not established, but disruption of the function of Mfn2 in establishment or maintenance of mitochondrial-lipid droplet contact sites, perhaps through interaction with an adipose-specific protein, is plausible. We did observe reduced mitochondrial-lipid droplet contacts in brown adipose tissue from Mfn2 R707W KI mice, as reported in adipocyte Mfn2 knock-out animals, but we were unable to replicate the direct mitofusin 2-perilipin 1 interaction previously reported using co-immunoprecipitation (Boutant et al., 2017). This requires further characterisation in the context of Mfn2R707W.

Whether mitochondrial structural and functional perturbation mediates the overgrowth of some adipose depots and loss of others in humans with MFN2 R707W homozygosity remains to be proven. If it does, the mechanisms transducing dysfunction of a key organelle into cellular hyperplasia in some adipose depots but loss of adipose tissue in others are also unexplained. KI mice exhibit neither adipose loss nor hyperplasia, even when challenged by a HFD. This failure to model the gross anatomical adipose abnormalities of humans, despite evidence of mitochondrial dysfunction and attendant ISR, establishes that the cellular abnormalities we describe are not sufficient to perturb adipose growth, but they may still be necessary. Whether a permissive genetic background, or an undefined additional stressor, are required as cofactors, remains to be determined.

Some of the transcriptomic changes observed that are common to mouse and human adipose tissue do suggest both potential opportunities to intervene pharmacologically, and mechanistic hypotheses relating to adipose hyperplasia that warrant further investigation. For example, transcriptional evidence of strong mTORC1 activation, likely part of the proximal ISR triggered by mitochondrial dysfunction, suggests that mTOR inhibitors such as sirolimus are worthy of testing. It is possible that they may reduce the ISR, thereby restraining compensatory adipose hyperplasia or even inducing synthetic lethality in cases of MFN2 R707W homozygosity. Several previous studies have suggested that mTOR inhibition may have beneficial effects in other primary mitochondrial disorders (Johnson et al., 2013; Civiletto et al., 2018). Downregulation of TGFβ also merits further investigation as one candidate mechanism linking Mfn2 R707W homozygosity to adipose hyperplasia. This is based on strong transcriptional evidence of downregulated EMT in both mice and humans, on the important roles of TGFβ in EMT and adipogenesis (Ishay-Ronen et al., 2019; Battula et al., 2010), and on the inter-relationship of TGFβ signalling with mitochondrial dysfunction (Dimeloe et al., 2019; Patel et al., 2015; Sun et al., 2019; Yi et al., 2015).

A further notable difference between the mice and humans with the homozygous MFN2 R707W mutation is that serum concentrations of GDF15 and FGF21 were increased in people but not mice (Table 2). This likely reflects the fact that affected humans also have fatty liver disease and diabetes, both strongly associated with elevated stress hormone levels (Vila et al., 2011; Koo et al., 2018). In keeping with this, we have shown in mice that the liver is the predominant source of circulating FGF21 and GDF15, with little or no contribution from adipose tissue (Patel et al., 2022).

Table 2
Comparison of human MFN2R707W-associated lipodystrophy with phenotype of Mfn2R707W/R7007W mice.

BAT, brown adipose tissue; GTT, glucose tolerance test; HFD, high-fat diet; ISR, integrated stress response; MFN2, mitofusin 2; mRNA, messenger ribose nucleic acid; mtDNA, mitochondrial DNA; PLIN1, perilipin 1; TEM, transmission electron microscope; WAT, white adipose tissue.

HumanPhenocopy?Mouse
Upper body adipose overgrowthNoNo difference in weight of any adipose depots
Lower limb lipoatrophyNo
Insulin resistanceNoNo difference on GTT or fasting insulin
Lower serum leptin concentrationYesSeen on chow or HFD; lower secretion seen from adipose explants
Severely reduced adipose leptin mRNA expressionPartialModest decrease only; only significant in some analyses
Lower serum adiponectin concentrationYesSeen on chow or HFD; lower secretion seen from adipose explants
Severely reduced adipose adiponectin mRNA expressionYesSeen on chow or HFD and in adipose explants
No change in WAT MFN2 protein expression (only over-grown WAT studied)YesNo difference in any tissue studied, though variable in WAT and BAT.
No difference in adipocyte sizeYesTrue on both chow and HFD
Disorganised, fragmented WAT mitochondria on TEMPartialMore circular mitochondria with trend towards reduced cristae
Upregulation of nuclear and down regulation of mitochondrial Oxphos transcriptional pathwayYesTrue in inguinal and epididymal WAT, and BAT
Lower Oxphos complex II and III but preserved complex I and IV proteinPartialLower complex I and IV protein in WAT
Lower WAT mtDNAPartialLower mtDNA in BAT but not WAT
Transcriptional activation of ISRYesSeen in inguinal and epididymal WAT, and BAT

Although abnormal adipose growth and metabolic disease were not seen in KI mice, the low plasma leptin concentration seen in human adipose overgrowth associated with MFN2 mutations was replicated. Leptin concentrations were not reported in previously described adipocyte Mfn2 knock-out mice (Boutant et al., 2017; Mancini et al., 2019), and although a different model of adipose-specific mitochondrial dysfunction (Tfam knock-out) did show reduced serum leptin, fat mass was also reduced compared to WT (Vernochet et al., 2012). Lower adipose leptin secretion caused by Mfn2 R707W does not appear to be predominantly transcriptionally mediated in mice, as in some analyses, for example of adipose explants under basal conditions, leptin secretion was reduced (Figure 5—figure supplement 1A) without alteration of leptin mRNA (Figure 5—figure supplement 1C). Our findings suggest instead that the lower leptin secretion is a consequence of ISR activation. Synthesis of adipokines is an amino acid-intensive process, and activation of the UPR typically results in conservation of amino acids, in part through reduction of protein secretion (Harding et al., 2000; Cortopassi et al., 2006; Kilberg et al., 2009; Hetz et al., 2020). Stressing primary adipocytes with tunicamycin or thapsigargin reduced leptin secretion without any effect on expression of non-secreted proteins such as the insulin receptor. We also observed upregulation of pathways related to amino acid metabolism (particularly in BAT) (Figure 4—figure supplement 4), which would be consistent with the known transcriptional effects of Atf4 (Harding, 2003). This suggests that the low leptin may not be due to a mitofusin-specific mechanism, rather secondary to activation of the ISR in adipose tissue as part of amino acid conservation. KI mouse data suggest that other adipokines, including adiponectin and adipsin, are similarly affected.

This study has limitations. We only characterised male homozygous KI mice in detail, so cannot extrapolate our results to females with confidence, though the limited analyses we did do in female mice were broadly consistent with the data from male mice and, case series do not suggest significant sexual dimorphism in the human disorder (Rocha et al., 2017; Sawyer et al., 2015; Capel et al., 2018). We also did not study heterozygous animals, but as human MFN2 R707W-associated lipodystrophy shows recessive inheritance, and as even homozygous mice do not exhibit lipodystrophy, a phenotype in heterozygous animals seems unlikely. It is unclear to what extent the phenotype observed in BAT is due to reduction in expression of both the mitofusins. Given the concomitant reduction in expression of Oxphos components in BAT, the lower mitofusin expression may be more reflective of general mitochondrial perturbation. Lastly, this study has not directly assessed the ability of Mfn2R707W mutants to mediate mitochondrial fusion. However given the normal mitochondrial network morphology in non-adipose tissues in homozygous KI mice and in dermal fibroblasts from humans homozygous for MFN2 R707W (Rocha et al., 2017), any defect is likely mild and context dependent.

Conclusion

Mfn2R707W KI mice show adipose-selective alteration of mitochondrial morphology and robust activation of the integrated stress response, but no abnormal adipose growth or systemic metabolic derangement. The KI mice do show suppressed leptin expression and plasma leptin concentration, likely secondary to the adipose selective mitochondrial stress response. The unique association of human lipodystrophy with the MFN2 R707W allele remains unexplained, but transcriptomic analysis suggested that reduced TGFβ signalling warrants further explanation as a potential cause of adipose hyperplasia, while mTOR inhibitors are worthy of testing in models as a potential targeted therapy.

Methods

Key resources table
Reagent type
(species) or
resource		DesignationSource or referenceIdentifiersAdditional information
Strain, strain background
(Mus musculus, C57BL/6 J)		Mfn2R707WThis paperSee “Generation of the Mfn2R707W/R707W
knock-in mouse”
AntibodyMouse monoclonal
anti-Adiponectin		GeneTexCat# GTX80683WB (1:1000)
AntibodyRabit polyclonal anti-LeptinAbcamCat# ab9749WB (1:1000)
AntibodyMouse monoclonal anti-Mfn1AbcamCat# Ab126575WB (1:250)
AntibodyRabbit monoclonal anti-Mfn2Cell signallingCat# D2D10WB (1:1000)
AntibodyRabit polyclonal anti-Mthfd2ProteintechCat# 12270–1-APWB (1:1000)
AntibodyRabit polyclonal anti-Oma1ProteintechCat# 17116–1-APWB (1:1000)
AntibodyMouse monoclonal anti-Opa1BD BiosciencesCat# 612606WB (1:1000)
AntibodyMouse monoclonal OXPHOS cocktailAbcamCat# Ab110413WB (1:1000)
AntibodyRabbit monoclonal anti-Phos-Eif2aEpitomicsCat# 10901WB (1:1000)

A full list of antibodies and primers are available in Supplementary files 1 and 2.

Generation of the Mfn2R707W/R707W knock-in mouse

Mfn2R707W mice were generated using CRISPR-Cas9 microinjection of fertilised oocytes at The Wellcome Trust Centre for Human Genetics (Oxford, UK). Two single guide RNA (sgRNA) sequences targetting exon 18 of the mouse Mfn2 gene (ENSMUSE00000184630) were used, namely 5’- CACCgTTCCTGCTCCAGATTATCTC-3‘ and 5‘-AAACGAGATAATCTGGAGCAGGAAc-3‘. The single-strand donor oligonucleotide (ssODN) incorporated the desired R707W mutation by recoding codon 707 from CGA to TGG. (This involved two point mutations in order to avoid a stop codon.) A silent mutation was added upstream to generate an EcoRV restriction site (Figure 1).

Superovulated 3-week-old C57BL/6 J female mice were mated with C57BL/6 J males. Embryos were extracted on day 0.5 of pregnancy and cultivated until two pronuclei were visible. One pronucleus was injected with purified sgRNA (20 ng/μL), Cas9 protein (100 ng/μL), and the ssODN template (10 ng/μL). Embryos were reimplanted into pseudopregnant CD1 foster mothers at day 0.5 post-coitum. Mfn2R707W was confirmed by Sanger sequencing of F0 founder males (with one additional upstream silent mutation ACC >ACA). Following cryopreservation of embryos, the line was re-derived in a colony of C57BL/6 J mice in Cambridge, UK.

Genotyping utilised the upstream EcoRV restriction enzyme digestion site. For genotyping, ear biopsies were digested in Chelix and proteinase K (0.1 mg/mL) for 45 min at 50 °C to extract gDNA for use in PCR. gDNA was amplified using primers 5’-AGTCCCTTCCTTGTCACTTAGT-3’ and 5’-ATCTCACAAGAAAGCGAAATCC-3’ and GoTaq DNA Polymerase (Promega), then digested using EcoRV (New England Biosciences). Wild-type (WT) Mfn2 generates a PCR product of 523 bp, homozygous knock-ins (KI) have two bands at 327 bp and 196 bp, and heterozygotes have all three bands (Figure 1).

Mouse husbandry and phenotyping

All experiments were performed under UK Home Office-approved Project License 70/8955 except for thermogenic capacity assessments which were conducted under P0101ED1D. Protocols were approved by the University of Cambridge Animal Welfare and Ethical Review Board. Animals were co-housed in groups of 2–5 littermates of mixed genotype, on 12 hr light/dark cycles. They had access to food and water ad libitum except when fasting prior to experimental procedures.

Separate cohorts of male and female mice were studied. Unless otherwise stated (Figure 3—figure supplement 2), data represents results from male mice. WT and KI male mice aged 5 weeks were randomly allocated to HFD (45% kcal as fat, 4.7kcal/g, Research Diets D12451i) or chow (Safe Diets R105-25) for up to 6 months. Investigators were blinded to animal genotype at the point of data collection. Mice were weighed weekly. Tail blood samples were collected four weekly into heparinised capillary tubes (Hawksley) and spun at 13,000 g for 4 min for plasma analysis of leptin and adiponectin. Six hr fasted blood samples were obtained on weeks 16 and 24 of diet, and prior to sacrifice, for analysis of glucose, insulin, and lactate, whilst other blood samples were from fed animals. For lactate, tail vein blood was collected into fluoride oxalate tubes and centrifuged immediately before freezing of plasma at –80 °C.

An intraperitoneal glucose tolerance test (IPGTT) was performed on week 31 of chow and HFD and an intraperitoneal insulin tolerance test (IPITT) was performed on week 32 of HFD (only) after a 6 hr fast. One g/kg of glucose and 0.75 units/kg of insulin were administered for the IPGTT and IPITT, respectively. Blood glucose was measured at 0, 10, 20, 30, 60, 90, and 120 min after the injections using a glucometer (Abbot Laboratories) and glucose test strips (Abbot Laboratories). Insulin was measured at 0 min at the start of IPGTT from a tail vein blood sample.

Body composition (lean and fat mass) was assessed prior to sacrifice by Time-Domain Nuclear Magnetic Resonance (TD-NMR) using a Minispec Live Mouse Analyzer (Bruker). Mice were sacrificed at 4- or 33 weeks on diet after a 6 hr fast. Tissues were weighed, sections were removed for histological or electron microscopic analysis, and remaining tissue was snap frozen in liquid nitrogen.

To estimate the number of mice required for experimental groups, We used data from the Adipoq::Cre Mfn2 knock-out mouse (Boutant et al., 2017), aiming to determine a difference between fat mass in Mfn2R707W and wild-type. Mean fat mass in adipose-specific Mfn2 knock-out=3.8 ± 0.43 g. Mean fat mass in wild-type=2.9 ± 0.14 g. For 80% power at 0.05 significance, to detect 0.9 g difference, sample size: 8 animals per group.

Calorimetry studies

Eight-week-old chow-fed male mice were housed in either cold (10 °C) or thermoneutrality (30 °C) for 4 weeks. Animals were anaesthetised using 90 mg/kg of pentobarbital by intraperitoneal injection and were placed in 2.7 l calorimetry chambers (Oxymax, Columbus instruments, Ohio) attached to a Promethion calorimetry system (Sable Systems, Las Vegas, NV, USA) pre-warmed to 30 °C for 20 min for measurement of basal energy expenditure. They were then given a subcutaneous injection of 2 µl/g of 0.5 mg/mL noradrenaline bitartrate (NA) plus 1.66 µl/g of 18 µg/µl pentobarbital and NA-stimulated energy expenditure was measured for 25 min. Animals were then sacrificed, and tissues snap frozen as described above. Basal energy expenditure was calculated from the three readings prior to NA-injection. Peak energy expenditure was calculated from the three greatest readings 5–25 min after NA-injection. NA-induced energy expenditure was calculated as the difference between peak and basal energy expenditure.

Transmission electron microscopy (TEM)

Chow-fed mice aged 8 weeks were sacrificed and white adipose tissue (inguinal and epididymal), brown adipose tissue, skeletal muscle (quadriceps), heart, and liver were removed, cut into <1 mm3 cubes and fixed (2% glutaraldehyde/2% formaldehyde in 0.05 M sodium cacodylate buffer pH 7.4 containing 2 mM calcium chloride) on a rocker at 4 °C overnight. Samples were then washed five times with 0.05 M sodium cacodylate buffer pH 7.4 and osmicated (1% osmium tetroxide, 1.5% potassium ferricyanide, 0.05 M sodium cacodylate buffer pH 7.4) for 3 days at 4°C.

Following initial osmication, samples were washed five times in DIW (deionised water) then treated with 0.1% (w/v) thiocarbohydrazide/DIW for 20 min at room temperature in the dark. After washing five times in DIW, samples were osmicated a second time for 1 hr at room temperature (2% osmium tetroxide/DIW). After washing five times in DIW, samples were block stained with uranyl acetate (2% uranyl acetate in 0.05 M maleate buffer pH 5.5) for 3 days at 4 °C. Samples were washed five times in DIW and then dehydrated in a graded series of ethanol (50%/70%/95%/100%/100% dry) 100% dry acetone and 100% dry acetonitrile, three times in each for at least 5 min. Samples were infiltrated with a 50/50 mixture of 100% dry acetonitrile/Quetol resin (without benzyldimethylamine (BDMA)) overnight, followed by 3 days in 100% Quetol (without BDMA). Then, samples were infiltrated for 5 days in 100% Quetol resin with BDMA, exchanging the resin each day. The Quetol resin mixture is: 12 g Quetol 651, 15.7 g NSA, 5.7 g MNA and 0.5 g BDMA (all from TAAB). Samples were placed in embedding moulds and cured at 60 °C for 3 days.

Thin sections were cut using an ultramicrotome (Leica Ultracut E) and placed on bare 300 mesh copper TEM grids. Samples were imaged in a Tecnai G2 TEM (FEI/Thermo Fisher Scientific) run at 200 keV using a 20 µm objective aperture to improve contrast. Images were acquired using an ORCA HR high-resolution CCD camera (Advanced Microscopy Techniques Corp, Danvers USA).

Analysis was performed by manual measurement of individual mitochondrion from all obtained images using Fiji (Schindelin et al., 2012) /ImageJ measurement tools by an investigator who was blinded to the genotype of tissues/cells. In all tissues, mitochondrial perimeter and aspect ratio (length/width) were determined. In addition, in brown adipose tissue, the number of cristae per mitochondrion and mitochondrial-lipid droplet contacts were quantified. There were insufficient mitochondrial-lipid droplet contact sites with high quality preservation to permit this in white adipose tissue. In liver, mitochondrial-endoplasmic reticulum contact sites were quantified. It was not possible to assess for mitochondria-ER contacts in other tissues due to quality of preservation.

Isolation of mitochondria for Oroboros analysis

For ex vivo measurement of mitochondrial respiratory capacity, mitochondria were isolated from BAT and liver of 12-week-old chow-fed male mice using the protocols from McLaughlin et al., 2020 for BAT and Fernández-Vizarra et al., 2010 for liver. In brief, tissues were isolated and washed in buffer ‘B’ then homogenised using a drill-driven Teflon pestle and borosilicate glass vessel. Homogenates were centrifuged at 800 x g for 10 min at 4 °C to remove cellular debris. Supernatant was removed, and then re-centrifuged at 10,000 x g for 10 min at 4 °C to enrich mitochondria. Supernatant was discarded and mitochondria were resuspended in buffer ‘A’. Mitochondria were quantified using a BioRad Protein Assay.

Fifty µg of protein were used per chamber for high-resolution respirometry, using Oroboros (Innsbruck, Austria). There was sequential injection of: 20 µl of 1 M glutamate and 10 µl of 1 M malate (liver only), 20 µl of 0.5 M ADP, 20 µl of 1 M pyruvate, 20 µl of 2 M succinate, 1 µl of 1 mM CCCP (liver only), 2 µl of 2 mM rotenone, and 2 µl of 2 mM antimycin A.

mtDNA content assay

Relative mtDNA content was assayed using real-time quantitative polymerase chain reaction (RT-qPCR) quantification of mitochondrial Rnr2 and nuclear Hk2 DNA. DNA was extracted from snap frozen murine tissue, using a DNeasy kit (Qiagen) as per the manufacturer’s instructions. DNA was quantified using a Nanodrop and diluted to 4 ng/µl. RT-qPCR was performed in triplicate for each sample using 8 ng DNA with primers for Hk2 and Rnr2. mtRnr2/nHk2 was calculated using the standard curve method and expressed relative to WT.

Protein extraction for WB

Fifty mg of frozen tissue was crushed using a pestle and mortar in liquid nitrogen. Powdered tissue was dissolved in 800 µl of RIPA buffer (Sigma, R0278) containing protease (Sigma, 11836170001) and phosphatase inhibitors (Roche, 04906837001). Samples were sonicated twice for 5 s at 30 Hz before centrifugation at 10,000 x g for 5 min at 4 °C. Supernatant was extracted and, for adipose samples, re-centrifuged to remove excess lipid.

Thirty-45 μg of protein lysates were mixed with NuPAGE 4 x LDS buffer (ThermoFisher Scientific), containing 0.05% 2-mercaptoethanol, and denatured for 5 min at 95 °C. Samples were run on 4–12% Bis-Tris gels (Invitrogen) and transferred onto a nitrocellulose membrane using iBlot-2 (ThermoFisher Scientific). For Opa1 immunobloting, protein lysates were prepared using 4 x BOLT LDS sample buffer and resolved using BOLT 8% Bis-Tris with BOLT MOPS SDS running buffer (ThermoFisher Scientific). Membranes were washed in Tris-buffered saline with 0.1% (vol/vol) Tween 20 (TBST, Sigma) before blocking in 5% (wt/vol) skimmed milk powder dissolved in TBST. Membranes were incubated with primary antibodies (Supplementary file 1) at 4 °C for 16 hr, washed with TBST five times for 5 min, followed by incubation with horseradish peroxidase (HRP)-conjugated secondary antibodies for 1 hr at room temperature. Blots were developed using Immobilon Western Chemiluminescent HRP Substrate (Millipore) with images acquired on BioRad ChemiDoc Imaging system or ImageQuant LAS 4000 (GE Healthcare).

For Opa1 quantification, Oma1-cleaved S-Opa1 bands were calculated as described by Shammas et al., 2022, with the intensity of each of the five Opa1 bands on the blot measured., The intensity of c and e bands were summed and divided by the sum of the five bands (a–e) to obtain the percentage of S-Opa1 generated by Oma1 from total Opa1.

RNA isolation and qPCR analysis

At the end of the study, tissues were harvested and immediately snap frozen in liquid nitrogen and stored at –80 °C. For RNA isolation, 30–50 mg of tissue was placed in Lysing Matrix D tubes and homogenized in 800 µl TRI Reagent (T9424, Sigma) using the Fastprep-24 Homogenizer for 30 s at 4–6 m/s (MP Biomedical). Homogenate was transferred to an RNase free tube and 200 µl chloroform (Sigma) added. The samples were vortexed and centrifuged at 13,000 rpm for 15 min at 4 °C. The upper phase was then transferred to an RNase free tube and mixed with an equal volume of 70% ethanol before loading onto RNA isolation spin columns. RNA was extracted using a RNeasy Mini Kit (74106, Qiagen) isolation kit following the manufacturer’s instructions.

Total RNA of 600 ng was quantified using Nanodrop and converted to cDNA using MMLV Reverse Transcriptase with random primers and RNase inhibitor (Promega). RT-qPCR was performed using SYBR Green or TaqMan Universal PCR MasterMixes (Applied Biosystems) on QuantStudio 7 Flex Real time PCR system (Applied Biosystems). Primers are listed in Supplementary file 2. Reactions were performed in triplicate and RNA expression was normalised to 36b4, Hprt, and B2m expression using the standard curve method.

Immunoassays

Mouse sera and plasma were analysed by the Cambridge Biochemical Assay Laboratory, University of Cambridge. Leptin was measured using a 2-plex Mouse Metabolic immunoassay kit from Meso Scale Discovery Kit (Rockville, MD, USA) according to the manufacturers’ instructions and with supplied calibrants. GDF15 was measured using a modified Mouse GDF15 DuoSet ELISA (R&D Systems) as an electrochemiluminescence assay on the Meso Scale Discovery platform. Adiponectin (K152BYC-2, MSD) was analysed individually using the Meso Scale Discovery Kit (Rockville, MD, USA). NEFA were analysed using the Free Fatty Acid Kit (half-micro test) (11383175001, Roche) and TG was measured using an enzymatic assay (DF69A, Siemens Healthcare). Alanine aminotransferase (ALT, product code DF143), aspartate aminotransferase (AST, product code DF41A), and total cholesterol (product code DF27) were measured using automated enzymatic assays on the Siemens Dimension EXL analyzer. Mouse Fgf21 was measured using an enzyme-linked immunosorbent assay kit (R&D/ Biochne, cat no. MF2100).

Histological processing

Fresh tissue was fixed in 10% formalin for 24 hr at room temperature immediately following sacrifice. Tissue was then embedded in paraffin and 4 μm sections were cut then baked overnight at 50 °C. For haematoxylin & eosin (H&E) staining, slides were dewaxed in xylene for 5 min twice, then dehydrated in 100% ethanol for 2 min twice. Following a 3-min water wash, slides were stained with filtered Mayer’s haematoxylin (Pioneer Research Chemicals) for 7 min and blued in water for 4 min. Slides were then stained with 1% aqueous eosin (Pioneer Research Chemicals) for 4 min and briefly washed in water before dehydrating in 100% ethanol (1 min, twice) and cleared in xylene (2 min, twice) and mounting with Pertex. Slides were imaged using a Axio Scan Z1 slide scanner (Zeiss). Lipid droplet area and hepatic steatosis was quantified automatically using Halo software (Indica Labs).

Transcriptomic profiling in white and brown adipose tissue

RNA was isolated from three tissues/dietary conditions for RNA sequencing: (1) inguinal WAT from chow fed animals (n=7 WT, n=6 KI, single technical replicates); (2) inguinal WAT from HFD-fed animals (n=8 WT, n=8 KI, two technical replicates per animal); and (3) BAT from HFD-fed animals (n=6 WT, n=6 KI, single technical replicate). RNA was quantified using Agilent 2100 Bioanalyzer (Agilent Technologies Inc) and only samples with RNA Integrity Number ≥8 were used for library preparation. cDNA libraries were made using Illumina TruSeq RNA sample kits and sequencing was performed on Illumina NovaSeq 6000 with paired-end 150 bp reads (Novogene, Cambridge, UK). Raw reads all passed quality control for Qscore, error rate distribution, and AT/GC distribution.

Adapter sequences were removed from raw FASTQ files using cutadapt Martin, 2011 and aligned to Mus musculus reference genome (GRCm38) using STAR Dobin et al., 2013. Binary alignment/map (BAM) files were sorted using samtools Danecek et al., 2021 and counts were performed using featureCounts Liao et al., 2014. Differential gene expression (DGE) between WT and KI was performed using DESeq2 Love et al., 2014, where significance was considered as a Benjamini-Hochberg false-discovery rate (FDR) corrected p-value <0.01. Pathway analysis was performed with the EnrichR package for R Xie et al., 2021; Chen et al., 2013; Kuleshov et al., 2016 using significantly differentially expressed genes to determine enriched Hallmark Liberzon et al., 2015 and Kyoto Encyclopaedia of Genes and Genomes (KEGG) Kanehisa and Goto, 2000 gene sets. Gene sets with FDR-corrected p-value <0.05 were considered enriched. Figures were generated in R 4.0.2 R Development Core Team, 2019 using packages pheatmap, ggplot2, and dplyr.

Adipose explant experiments

Inguinal (subcutaneous) and epididymal (visceral) adipose tissue was harvested from 12-week-old male C57BL/6 J mice fed either chow or HFD for 4 weeks (i.e. 8–12 weeks of age). Tissue was placed in Hanks’ Balanced Salt Solution (HBSS, H9269, Sigma) and kept on ice before cutting into 1–2 mm fragments. Approximately 100 mg fragments were incubated in a 12-well plate with M199 media ± 7 nM insulin (Actrapid, Novo Nordisk) and 25 nM dexamethasone (D4902, Sigma). After 24 hr incubation, media were collected, spun down at 5000 x g and stored at –80 °C until leptin and adiponectin assay as above. Explant tissues were weighed and snap frozen for RNA analysis.

Primary adipocyte experiments

Mature white adipocytes were isolated from 12- to 20-week-old chow-fed male or female C57BL/6 J or C57BL/6 N mice as previously described Li et al., 2021; Harms et al., 2019 with modifications. Briefly, after dissection, gonadal adipose tissue was washed, minced finely, and dissociated to a single-cell suspension in Hanks’ Balanced Salt Solution containing 2.25% (w/v) BSA (Sigma, Cat. H9269) and 1 mg/mL collagenase (Sigma, C6885-1G) for approximately 15 min at 37 °C in a shaking incubator. Digested material was diluted with 6 x volume of high glucose DMEM media (Sigma, Cat. D6546) and connective tissue or undigested pieces were removed by passing through a 100 μm nylon mesh (Fisherbrand, 11517532). Floating adipocytes were washed twice with 6 x volume of high glucose DMEM media before being used for downstream experiments.

Mature adipocytes with a packed volume of 60 μL were then cultured in 500 μL of high glucose DMEM media (supplemented with 10% FBS [Gibco Cat. 10270–106], 2 mM L-glutamine [Sigma Cat. G7513] and 1 x Penn/Strep [Sigma Cat. P0781]) per well in the presence of 100 nM insulin in a 24-well plate. On the third day of in vitro culture, 100 μL of media was sampled followed by media replenishment. Cells were treated with indicated concentration of Thapsigargin or Tunicamycin for 6 hr. Media were sampled at the end of treatment and cells collected for subsequent RT-qPCR or western blotting. Adipokine secretion from adipocytes during the 6 hr window was calculated as X=B A*400/500 (A/B=medium adipokine concentration before/after treatment).

Statistical analysis

Continuous data were expressed as mean ± standard error (SE). Normally distributed data were analysed by t-test (for two group pairwise comparison) and one-way ANOVA (for three or more groups) with post-hoc Bonferroni multiple comparisons test. FDR-corrected p-value <0.05 was considered significant.

Statistical tests of TEM data (pairwise comparisons of mutant to WT) were based on the mean of independent biological replicates (i.e. the number of different samples, not the number of mitochondria) and FDR adjustment for the number of tests (Lord et al., 2020).

All experiments were conducted at least three times using, where possible, randomisation of sample order and blinding of experimenters handling samples. No data were excluded from analysis. Data were nalysed using R 4.0.2 (R Development Core Team, 2019) and GraphPad Prism version 9 (GraphPad, San Diego). Figures were made using BioRender.

Materials availability

All reagents used are publicly available. Primer sequences and antibodies are detailed in Supplementary files 1 and 2. Code used in analysis is available from: https://doi.org/10.5281/zenodo.5770057. Raw counts from transcriptomic analysis are available from GEO under accession ID: GSE210771.

Data availability

All reagents used are publicly available. Primer sequences and antibodies are detailed in Supplementary files 1 and 2. Code used in analysis is available from: https://doi.org/10.5281/zenodo.5770057. Raw counts from transcriptomic analysis are available from GEO with accession number GSE210771.

The following data sets were generated

References

    1. Harding HP
    (2003)
    An integrated stress response regulates amino acid metabolism and resistance to oxidative stress national institute of environmental health sciences
    Molecular Cell 11:619–633.
  76. Software
    1. R Development Core Team
    (2019) A language and environment for statistical computing
    R Foundation for Statistical Computing, Vienna, Austria.
    https://www.r-project.org/index.html

Decision letter

  1. Jonathan S Bogan
    Reviewing Editor; Yale School of Medicine, United States
  2. Carlos Isales
    Senior Editor; Augusta Universit, United States

Our editorial process produces two outputs: (i) public reviews designed to be posted alongside the preprint for the benefit of readers; (ii) feedback on the manuscript for the authors, including requests for revisions, shown below. We also include an acceptance summary that explains what the editors found interesting or important about the work.

Decision letter after peer review:

Thank you for submitting your article "A mouse model of human mitofusin 2-related lipodystrophy exhibits adipose-specific mitochondrial stress and reduced leptin secretion" for consideration by eLife. Your article has been reviewed by 3 peer reviewers, one of whom is a member of our Board of Reviewing Editors, and the evaluation has been overseen by Carlos Isales as the Senior Editor. The reviewers have opted to remain anonymous.

The reviewers have discussed their reviews with one another, and the Reviewing Editor has drafted this to help you prepare a revised submission.

Essential revisions:

1) Please address the comments of Reviewer 2 to strengthen the conclusion that the integrated stress response is activated and/or to distinguish this from simple ER stress.

2) Further analyses to determine if mitochondria-ER associations are reduced in the mutant mice are warranted (Reviewer 2)

3) Additional data from other tissues, such as liver, would be useful to help understand the tissue-specificity of the effect of the R707W mutation (Reviewer 3).

Reviewer #1 (Recommendations for the authors):

Since mTorc may be involved, it would be reasonable to treat the KI mice with sirolimus (or rapamycin) and test whether this increases leptin and adiponectin levels, or whether it rescues any other aspect of the phenotype. This would strengthen the hypothesis that upregulation of mTorc1 signaling contributes to the phenotype.

The hypothesis that secreted proteins are selectively affected is intriguing, and if this is the case then it might be that the proteins that place the greatest demand on the secretory pathway are most affected. Certainly, adiponectin falls in this category, since it is very abundant and must form collagen-like trimers and then oligomerize into higher molecular weight forms. Leptin may also be secreted rapidly. Are there alterations in collagen secretion, and could this contribute to the phenotype in humans? In particular, work from the Scherer lab has implicated collagen VI in adipose biology and insulin sensitivity. It is acknowledged that because the mice do not recapitulate the lipodystrophy observed in humans, and because their insulin sensitivity was not altered, it may be that an effect on collagens would not be observed in the KI mice.

Does induction of the ISR affect secretion of TGF-β family members? Can evidence for altered TGF-β signaling be generated?

Only male mice were used for the study. Can any data from females be included to confirm that a similar phenotype is present, at least for one or two specific aspects of the phenotype?

Reviewer #2 (Recommendations for the authors):

The suggestions to address the weaknesses are as follows:

1) To demonstrate that the changes in mitochondria induced by the R707W mutation activate the ISR and that the ISR is responsible to decrease leptin and adiponectin expression, authors should measure:

(1.a.) OMA1 activity: two recent papers demonstrate that OMA1 activation is the mitochondrial factor that senses mitochondrial stress and initiates ISR activation via HRI kinase (Fessler et al. 2020; Guo et al., 2020). OMA1 activation can be easily measured by determining OPA1 processing by Western blot of tissues. That would support specific mitochondrial ISR engagement.

(1.b.) Measure adiponectin protein content in BAT and WAT, instead of measuring mRNA levels. The phosphorylation of eif-2alpha blocks the translation of multiple proteins and if ISR is engaged, it would be expected that decreased adiponectin and leptin are explained by a decrease in translation, rather than ATF4 blocking their transcription.

Final confirmation would be to delete OMA1 or ATF4, but the reviewer understands that this is not possible as it would involve generating new mouse strains. This limitation should be emphasized when discussing the role of ISR controlling adiponectin content in the mutants.

2) Based on ample evidence previously showing that Mfn2 deletion causes ER stress (ref 35,63), it is likely that simple ER stress, rather than the ISR, is explaining the specific effects on adiponectin and leptin secretion caused by this Mfn2 mutation. Accordingly, the transcriptomics analyses pick up unfolded protein response as a major upregulated pathway, rather than ISR, HRI or an ATF4 specific signature. Treating mice with TUDCA to alleviate ER stress systemically as performed in reference 63 and determine whether TUDCA treatment can restore leptin levels in vivo. Another option would be to treat tissue explants from the Mfn2 mutants with TUDCA and measure adiponectin/leptin content and secretion.

3) Mfn2 was shown to tether mitochondria with the ER (de Brito et al., Nature). Given that the authors fail to reproduce that Mfn2 interacts with PLIN1 observed in reference 35, it would be worth analyzing the EM to determine whether mitochondria-ER interactions are decreased in these Mfn2 mutants.

Reviewer #3 (Recommendations for the authors):

1) Many of the results hint toward the possibility that the Mfn2R707W generates a partial impairment in Mfn2 function. This, however, is a very vague concept and should be well characterized, through evaluation of Mfn2 GTPase activity and through work in cultured cell models where mitochondrial dynamics, position and interactions can be better traced.

2) The above point is quite important, as Mfn2 deficiency in the liver has been shown to dramatically exacerbate diet-induced metabolic damage. Mfn2 deficiency in POMC led to higher food intake. These phenotypes, however, are not seen here. In contrast, the R707W mutation to some extent recapitulates the effects of the adipose-tissue specific deletion of Mfn2 reported by the Shirihai and Canto labs. The causes behind tissue-specificity in the impact of the R707W mutation should be further investigated.

3) The brown adipose tissue of the knockin mice also seems to display a decrease in Mfn1, which complicates the interpretation of the phenotype. However, there is no information on the age at which these experiments were performed. There could be a possibility that this decrease is secondary to the alterations caused by the knockin mutation. Could the authors evaluate if at a younger age (e.g.: 4 weeks of age) the decrease in Mfn1 is already present? If not, it could be a more interesting point to evaluate the brown adipose tissue phenotype.

4) Cristae density seems affected in multiple tissues and should be quantified. Similarly, OPA-1 processing should also be analyzed through western blot.

5) The authors observe a severe decrease in Complex I, III and IV proteins, yet no decrease in mitochondrial complex I related respiration or in maximal respiratory capacity. How is this even possible?

6) The fact that, according to the authors, there is not mitochondrial respiratory capacity impairment, yet a slight thermogenic impairment is seen, suggests that these mice have impaired ability to mobilize fatty acids for oxidation upon cold-exposure. Did the authors evaluate if there are alterations in adrenergic signaling?

7) The authors make a strong point on the reductions in circulating leptin and adiponectin. However, do these mice show altered food intake, as should be predicted from a large decrease in leptin?

8) Given the focus on leptin and adiponectin, the authors should try to investigate if they are the root of the complications seen in the Mfn2 knockin mice. This could be done by injecting animals with leptin and evaluating if they recover OXPHOS protein levels.

https://doi.org/10.7554/eLife.82283.sa1

Author response

Essential revisions:

1) Please address the comments of Reviewer 2 to strengthen the conclusion that the integrated stress response is activated and/or to distinguish this from simple ER stress.

We think that this issue is partly semantic, relating to the definition of the term integrated stress response (ISR). In our view, activation of the ISR is essentially defined by EIF2a phosphorylation – we demonstrated that this was strongly present in BAT and WAT in Figure 4, so maintain that we have evidence for activation of the ISR in tissues from the R707W KI mice. We suspect that the reviewer is primarily concerned with the mechanism or pathway by which the ISR was activated – ie was it primarily activated by mitochondrial dysfunction or instead by a UPR-related mechanism. Our data did not directly address this question and so we agree that we are not in a position to specify the origin of activation of the ISR.

In order to try to determine exactly what triggered the adipose ISR we describe, we have devoted considerable further effort to western blotting for Opa1, as suggested by the reviewer. This is in fact more complicated than the reviewer implies, particularly in adipose tissue. Indeed we could not find any papers in which all five Opa1 bands are clearly shown in adipose lysates (white or brown) – papers typically only show two or three bands, which does not provide adequate information to inform on Opa1’s activation state (eg PMID 33944779). In other tissues like heart or skeletal muscle five bands are more readily detected and one can then infer Opa1 activity using the approach reported by Shammas et al. (PMID 35700042). We contacted that group and used their protocols in an attempt to optimise the blots. These data are now included in the revised manuscript (Figure 4-Supplementary Figures 3-4). The data do not show any differences in most tissues.

In an attempt to validate the Opa1 blot data, we also undertook Oma1 immunoblotting, as Oma1 typically cleaves itself when activated, so one might expect its expression to fall. These data are also included (Figure 4-Supplementary Figures 3-4) and suggest that, at least in BAT, Oma1 may have been activated, albeit weakly.

The WAT data are more difficult to interpret definitively as the Opa1 blots do not offer sufficient resolution to detect a subtle difference. We also do not see any evidence for a change in Oma1 expression.

So what can we conclude about the origin(s) of ISR activation in this model? In our view, it remains unclear. We do not think that one can definitively exclude a mitochondrial origin for the activation as whilst we agree that the two papers the reviewer mentions do provide compelling evidence for an Oma1-triggered ISR activation pathway, we and others think that there might be additional ways that mitochondrial perturbation could trigger the ISR.

We have no objection to the idea that a UPR-mediated pathway is involved in our mice instead or as well, but we do not have direct evidence for this and have not seen definitive evidence from the Mfn2 KO models to clearly distinguish a UPR from a mitochondrial triggered ISR response.

We have revised the relevant section of the manuscript to reflect all these points. In short, we are convinced that the ISR is selectively activated in BAT and WAT in the KI mice but exactly how it was activated remains unclear.

In relation to the suggestion to check leptin and adiponectin expression in tissue lysates – thank-you for this helpful suggestion. We have done this and included the data which show that both leptin and adiponectin protein expression are reduced in WAT (Figure 5 —figure supplement 2).

2) Further analyses to determine if mitochondria-ER associations are reduced in the mutant mice are warranted (Reviewer 2)

We did report on mitochondrial-ER contacts in liver samples in the original manuscript – there were no differences. Similar analysis is much more challenging in adipose tissue unfortunately. We attempted it on the original sections available as well as on sections of freshly isolated samples but the ER mitochondrial contacts were again inadequately resolved to permit this analysis. Again we are not aware of other papers having reported on this in adipose tissue, at least in Mfn2-related models. We insert representative images in Author response image 1.

Author response image 1
Download asset Open asset
Representative images from transmission electron microscopy on liver and brown adipose tissue from wild-type and Mfn2-R707W knock-in mice.

Endoplasmic reticulum (ER) could be clearly identified and mitochondrial-ER contacts quantified in liver (top), with no difference by genotype. In white and brown adipose tissue there was poor preservation of ER with very infrequent mitochondrial-ER contacts, such that a formal assessment was not possible. Data representative from n=4 (liver) and n=8 (adipose tissue) mice.

3) Additional data from other tissues, such as liver, would be useful to help understand the tissue-specificity of the effect of the R707W mutation (Reviewer 3).

We have now added additional data specifically from the liver. In general, we do not see changes in mitochondrial morphology, evidence for ISR activation or changes in gene expression in the liver in the KI mice. We have now included the new gene expression data in the manuscript as requested (Figure 3—figure supplement 1I).

Reviewer #1 (Recommendations for the authors):

Since mTorc may be involved, it would be reasonable to treat the KI mice with sirolimus (or rapamycin) and test whether this increases leptin and adiponectin levels, or whether it rescues any other aspect of the phenotype. This would strengthen the hypothesis that upregulation of mTorc1 signaling contributes to the phenotype.

Thank-you, we agree that this is worth considering but feel that it is beyond the scope of this manuscript.

The hypothesis that secreted proteins are selectively affected is intriguing, and if this is the case then it might be that the proteins that place the greatest demand on the secretory pathway are most affected. Certainly, adiponectin falls in this category, since it is very abundant and must form collagen-like trimers and then oligomerize into higher molecular weight forms. Leptin may also be secreted rapidly. Are there alterations in collagen secretion, and could this contribute to the phenotype in humans? In particular, work from the Scherer lab has implicated collagen VI in adipose biology and insulin sensitivity. It is acknowledged that because the mice do not recapitulate the lipodystrophy observed in humans, and because their insulin sensitivity was not altered, it may be that an effect on collagens would not be observed in the KI mice.

This is an interesting idea but we are not aware of a straightforward way in which to evaluate collagen secretion. If the reviewer can provide specific suggestions, we would be willing to consider these.

Does induction of the ISR affect secretion of TGF-β family members? Can evidence for altered TGF-β signaling be generated?

We agree that this is a very interesting area for future investigation but not one which can be readily and conclusively addressed so we feel that it is beyond the scope of this manuscript.

Only male mice were used for the study. Can any data from females be included to confirm that a similar phenotype is present, at least for one or two specific aspects of the phenotype?

We have now included a more limited set of data from a smaller cohort of female mice. Again there were no differences in body weight, glucose and insulin, whereas adiponectin was clearly reduced and leptin tended to be lower. The blood samples were collected in the morning so there was considerable variability in the leptin data which is we think why the visually apparent difference is not statistically significant These data are now mentioned in the manuscript and included as a supplementary figure (Figure 3—figure supplement 2).

Reviewer #2 (Recommendations for the authors):

The suggestions to address the weaknesses are as follows:

1) To demonstrate that the changes in mitochondria induced by the R707W mutation activate the ISR and that the ISR is responsible to decrease leptin and adiponectin expression, authors should measure:

(1.a.) OMA1 activity: two recent papers demonstrate that OMA1 activation is the mitochondrial factor that senses mitochondrial stress and initiates ISR activation via HRI kinase (Fessler et al. 2020; Guo et al., 2020). OMA1 activation can be easily measured by determining OPA1 processing by Western blot of tissues. That would support specific mitochondrial ISR engagement.

Thank-you, this point was addressed above.

(1.b.) Measure adiponectin protein content in BAT and WAT, instead of measuring mRNA levels. The phosphorylation of eif-2alpha blocks the translation of multiple proteins and if ISR is engaged, it would be expected that decreased adiponectin and leptin are explained by a decrease in translation, rather than ATF4 blocking their transcription.

Thank-you, again this point was addressed above.

Final confirmation would be to delete OMA1 or ATF4, but the reviewer understands that this is not possible as it would involve generating new mouse strains. This limitation should be emphasized when discussing the role of ISR controlling adiponectin content in the mutants.

Thank-you. We have edited the text to reflect uncertainty about the origins of ISR activation in the revised manuscript.

2) Based on ample evidence previously showing that Mfn2 deletion causes ER stress (ref 35,63), it is likely that simple ER stress, rather than the ISR, is explaining the specific effects on adiponectin and leptin secretion caused by this Mfn2 mutation. Accordingly, the transcriptomics analyses pick up unfolded protein response as a major upregulated pathway, rather than ISR, HRI or an ATF4 specific signature.

This general point was discussed in more detail above. However, we also point out that the transcriptomic analysis does not distinguish between ISR and UPR. The Hallmark UPR gene set used in our analysis (http://www.gsea-msigdb.org/gsea/msigdb/human/geneset/HALLMARK_UNFOLDED_PROTEIN_RESPONSE.html) includes both ‘upstream’ UPR genes (e.g. ATF6, EIF2AK3 (encoding PERK), XBP1, ERN1 (encoding IRE1), ‘downstream’ ISR genes (e.g. ATF3, ATF4), and genes induced by mitochondrial stress (e.g. MTHFD2)). Furthermore, activation of the ISR is a major downstream arm of the UPR, so one cannot really draw significant conclusions about the origins of ISR activation from this analysis.

Treating mice with TUDCA to alleviate ER stress systemically as performed in reference 63 and determine whether TUDCA treatment can restore leptin levels in vivo. Another option would be to treat tissue explants from the Mfn2 mutants with TUDCA and measure adiponectin/leptin content and secretion.

Thank-you. This is an interesting suggestion but we feel is beyond the scope of the current manuscript.

3) Mfn2 was shown to tether mitochondria with the ER (de Brito et al., Nature). Given that the authors fail to reproduce that Mfn2 interacts with PLIN1 observed in reference 35, it would be worth analyzing the EM to determine whether mitochondria-ER interactions are decreased in these Mfn2 mutants.

This point was addressed in the Essential revisions section above.

Reviewer #3 (Recommendations for the authors):

1) Many of the results hint toward the possibility that the Mfn2R707W generates a partial impairment in Mfn2 function. This, however, is a very vague concept and should be well characterized, through evaluation of Mfn2 GTPase activity and through work in cultured cell models where mitochondrial dynamics, position and interactions can be better traced.

Whilst we agree that it would be very helpful to understand exactly how the R707W mutation perturbs Mfn2 function, we suspect that this will be challenging and require a lot more work, which we feel is beyond the scope of this manuscript. The function of the HR2 domain, in which the mutation sits, remains unclear in general so it is hard to design assays that would specifically test the impact of the mutation. If the reviewers have specific suggestions for us, we would be willing to consider these.

2) The above point is quite important, as Mfn2 deficiency in the liver has been shown to dramatically exacerbate diet-induced metabolic damage. Mfn2 deficiency in POMC led to higher food intake. These phenotypes, however, are not seen here. In contrast, the R707W mutation to some extent recapitulates the effects of the adipose-tissue specific deletion of Mfn2 reported by the Shirihai and Canto labs. The causes behind tissue-specificity in the impact of the R707W mutation should be further investigated.

Whilst we again agree that understanding the tissue specific phenotypes observed is of major interest, it will require a lot more work. The lack of effect on food intake in our KI mice is one observation among several that demonstrates that the R707W variant is not equivalent to a KO. Similarly, the adipose phenotype is distinct from that of adipose-specific KOs, which is interesting but difficult to explain in full at this stage. This condition is further evidence of the value of studying human phenotypes caused by neomorphic or hypomorphic missense alleles which are much less commonly generated in primary mouse studies. Such alleles which are expressed at the protein level often have distinct and sometimes more subtle functional consequences than KO.

3) The brown adipose tissue of the knockin mice also seems to display a decrease in Mfn1, which complicates the interpretation of the phenotype. However, there is no information on the age at which these experiments were performed. There could be a possibility that this decrease is secondary to the alterations caused by the knockin mutation. Could the authors evaluate if at a younger age (e.g.: 4 weeks of age) the decrease in Mfn1 is already present? If not, it could be a more interesting point to evaluate the brown adipose tissue phenotype.

We have done this and included the data which suggest that Mfn1 is also reduced in young mice (See Figure 1—figure supplement 1G). Nevertheless this might still be secondary to the Mfn2 induced perturbation.

4) Cristae density seems affected in multiple tissues and should be quantified. Similarly, OPA-1 processing should also be analyzed through western blot.

Thank-you, Opa1 processing was discussed above. We did not observe any differences in mitochondrial cristae in non-adipose tissue. In white adipose tissue there was insufficient cristae preservation (even in wild-type samples) to allow a formal analysis. However, there is qualitative evidence of altered cristae density in BAT though on statistical analysis the p-value is.07 (see Figure 2E).

5) The authors observe a severe decrease in Complex I, III and IV proteins, yet no decrease in mitochondrial complex I related respiration or in maximal respiratory capacity. How is this even possible?

The reductions in these proteins were in fact modest in BAT (below statistical significance on quantification) which is what we used for the respiratory capacity analyses. WAT has fewer mitochondria so this analysis was not possible in WAT-derived mitochondria. Furthermore we are only showing expression of some components of the complexes so it is possible that expression of others was less significantly perturbed.

6) The fact that, according to the authors, there is not mitochondrial respiratory capacity impairment, yet a slight thermogenic impairment is seen, suggests that these mice have impaired ability to mobilize fatty acids for oxidation upon cold-exposure. Did the authors evaluate if there are alterations in adrenergic signaling?

We studied sizable cohorts of mice in this analysis and the differences were not statistically significant so no we did not proceed to analyse adrenergic signalling in the mice.

7) The authors make a strong point on the reductions in circulating leptin and adiponectin. However, do these mice show altered food intake, as should be predicted from a large decrease in leptin?

In our view the reductions in leptin, whilst clearly statistically significant, do not lead to very low leptin levels. As leptin has its greatest impact on food intake at low levels, we infer that this is why this did not emerge as a striking phenotype in male or female mice.

8) Given the focus on leptin and adiponectin, the authors should try to investigate if they are the root of the complications seen in the Mfn2 knockin mice. This could be done by injecting animals with leptin and evaluating if they recover OXPHOS protein levels.

This is an interesting idea but we think is beyond the scope of this manuscript. Furthermore, as alluded to above, leptin responses are most dramatic when injecting leptin into mice with very low levels or leptin. In our case, leptin was only relatively low in the mice.

https://doi.org/10.7554/eLife.82283.sa2

Article and author information

Author details

  1. Jake P Mann

    Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Writing – original draft, Project administration, Writing – review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4711-9215

  2. Xiaowen Duan

    Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Data curation, Formal analysis, Investigation, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1415-8899

  3. Satish Patel

    Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Data curation, Formal analysis, Investigation, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5345-8942

  4. Luis Carlos Tábara

    Medical Research Council Mitochondrial Biology Unit, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared

  5. Fabio Scurria

    Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Data curation, Formal analysis, Investigation, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared

  6. Anna Alvarez-Guaita

    Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Data curation, Formal analysis, Investigation, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared

  7. Afreen Haider

    Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Data curation, Formal analysis, Investigation, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared

  8. Ineke Luijten

    Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
    Contribution
    Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared

  9. Matthew Page

    New Medicines, UCB Pharma, Slough, United Kingdom
    Contribution
    Supervision, Investigation, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared

  10. Margherita Protasoni

    Medical Research Council Mitochondrial Biology Unit, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Investigation, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared

  11. Koini Lim

    Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Formal analysis, Investigation, Writing – review and editing
    Competing interests
    No competing interests declared

  12. Sam Virtue

    Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Conceptualization, Supervision, Funding acquisition, Methodology, Project administration, Writing – review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-9545-5432

  13. Stephen O'Rahilly

    Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Conceptualization, Supervision, Funding acquisition, Investigation, Methodology, Project administration, Writing – review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2199-4449

  14. Martin Armstrong

    UCB Pharma, Chemin du Foriest, Braine l’Alleud, Belgium
    Contribution
    Supervision, Investigation, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared

  15. Julien Prudent

    Medical Research Council Mitochondrial Biology Unit, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Conceptualization, Supervision, Funding acquisition, Investigation, Methodology, Project administration, Writing – review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-3821-6088

  16. Robert K Semple

    1. Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
    2. MRC Human Genetics Unit, University of Edinburgh, Edinburgh, United Kingdom
    Contribution
    Conceptualization, Supervision, Funding acquisition, Investigation, Methodology, Writing – original draft, Project administration, Writing – review and editing
    Contributed equally with
    David B Savage
    For correspondence
    rsemple@exseed.ed.ac.uk
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6539-3069

  17. David B Savage

    Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Conceptualization, Supervision, Funding acquisition, Investigation, Methodology, Writing – original draft, Project administration, Writing – review and editing
    Contributed equally with
    Robert K Semple
    For correspondence
    dbs23@cam.ac.uk
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7857-7032

Funding

Wellcome Trust (210752)

  • Robert K Semple

Wellcome Trust (219417)

  • David B Savage

Wellcome Trust (216329/Z/19/Z)

  • Jake P Mann

Wellcome Trust (214274)

  • Stephen O'Rahilly

Swedish Research Council

  • Ineke Luijten

Medical Research Council (MC_UU_00015/7 and MC_UU_00028/5)

  • Julien Prudent

Medical Research Council (MC_UU_00014/5)

  • Stephen O'Rahilly

Medical Research Council (MRC_MC_UU_12012/5)

  • Stephen O'Rahilly

Wellcome Trust (208363/Z/17/Z)

  • Stephen O'Rahilly

Ramón Areces Foundation

  • Luis Carlos Tábara

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. For the purpose of Open Access, the authors have applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission.

Acknowledgements

We are grateful to the team at the University of Cambridge Advanced Imaging Centre for access to their facilities and for their expertise. We thank the Disease Model Core from the Wellcome-MRC Institute of Metabolic Science for their technical assistance in animal work. We also thank the Genomics and Transcriptomics core, the Histology core and G Strachan from the Imaging core for technical assistance. Finally we thank M Mimmack for his assistance with in vitro experiments. This work was supported by the Wellcome Trust (grant Nos. WT 210752 to RKS, WT 219417 to DBS, WT 216329/Z/19/Z to JPM, and WT 214274 to S’R, respectively), the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre, the Swedish Research Council (to IL) and the Medical Research Council UK (MRC; MC_UU_00015/7 and MC_UU_00028/5 to JP). The Disease Model Core, Biochemistry Assay Lab, the Histology Core and the Genomics and Transcriptomics Core are funded by MRC MC_UU_00014/5, MRC MRC_MC_UU_12012/5, and a Wellcome Trust Strategic Award (208363/Z/17/Z). LCT was a recipient of a Ramon Areces postdoctoral fellowship. The funders had no role in study design, data collection and interpretation, or submitting the work for publication.

Ethics

All experiments were performed under UK Home Office-approved Project License 70/8955 except for thermogenic capacity assessments which were conducted under P0101ED1D. Protocols were approved by the University of Cambridge Animal Welfare and Ethical Review Board.

Senior Editor

  1. Carlos Isales, Augusta Universit, United States

Reviewing Editor

  1. Jonathan S Bogan, Yale School of Medicine, United States

Publication history

  1. Received: July 29, 2022
  2. Preprint posted: September 22, 2022 (view preprint)
  3. Accepted: January 30, 2023
  4. Accepted Manuscript published: February 1, 2023 (version 1)
  5. Accepted Manuscript updated: February 2, 2023 (version 2)
  6. Accepted Manuscript updated: February 3, 2023 (version 3)
  7. Version of Record published: February 17, 2023 (version 4)

Copyright

© 2023, Mann et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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  1. Jake P Mann
  2. Xiaowen Duan
  3. Satish Patel
  4. Luis Carlos Tábara
  5. Fabio Scurria
  6. Anna Alvarez-Guaita
  7. Afreen Haider
  8. Ineke Luijten
  9. Matthew Page
  10. Margherita Protasoni
  11. Koini Lim
  12. Sam Virtue
  13. Stephen O'Rahilly
  14. Martin Armstrong
  15. Julien Prudent
  16. Robert K Semple
  17. David B Savage
(2023)
A mouse model of human mitofusin-2-related lipodystrophy exhibits adipose-specific mitochondrial stress and reduced leptin secretion
eLife 12:e82283.
https://doi.org/10.7554/eLife.82283

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