The gut microbiota is a transmissible determinant of skeletal maturation

  1. Abdul Malik Tyagi
  2. Trevor M Darby
  3. Emory Hsu
  4. Mingcan Yu
  5. Subhashis Pal
  6. Hamid Dar
  7. Jau-Yi Li
  8. Jonathan Adams
  9. Rheinallt M Jones
  10. Roberto Pacifici  Is a corresponding author
  1. Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University, United States
  2. Emory Microbiome Research Center, Emory University, United States
  3. Department of Pediatrics, Emory University, United States
  4. Immunology and Molecular Pathogenesis Program, Emory University, United States
6 figures, 1 table and 1 additional file

Figures

Nongenomic effects of gut microbiome on bone volume, structure and turnover are hereditarily transferred.

(A) Diagram of the experimental outline. Fecal material from conventional C57BL/6 (low BMD) or C3H/HeN (high BMD) mice was transferred to germ-free mating pairs of the other strain. Bone structure and turnover were analyzed in 16-week-old female mice of the F1 generation to determine the influence of the donor microbiota on post-natal skeletal development. (B) Fecal microbiome composition in C57BL/6 (BL6) mice and C3H/HeN (C3H) mice. (C) Quantitative PCR (qPCR) analysis of Sfb and total bacterial 16S rRNA genes in fecal samples. (D) Femoral trabecular bone volume fraction (BV/TV). (E) Trabecular number (Tb.N). (F) Trabecular thickness (Tb.Th). (G) Trabecular separation (Tb.Sp). (H) Cortical Area (Ct.Ar). (I) Cortical thickness (Ct.Th). (J) Serum levels of CTX, a marker of bone resorption. (K) Serum levels of osteocalcin (OCN), marker of bone formation. n = 9–12 mice per group. Data were expressed as mean ± SEM. All data were normally distributed according to the Shapiro-Wilk normality test. Data were analyzed by 2-way ANOVA and post hoc tests applying the Bonferroni correction for multiple comparisons. *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001 compared to indicated groups.

Figure 2 with 1 supplement
Effects of maternal fecal microbime on the frequency of BM and PP Th17 cells and transcript levels of inflammatory cytokines in the offspring.

(A) Relative frequency of Th17 cells (IL-17+ CD4+ T cells) in PP. (B) SI Il17a mRNA levels. (C,D) Relative and absolute frequency of BM Th17 cells. (E) BM Il17a mRNA levels. (F) SI Tnfa mRNA levels. (G) BM Tnfa mRNA levels. (H) SI Tnfsf11 mRNA levels. (I) BM Tnfsf11 mRNA levels. n = 10 mice per group. Data were expressed as mean ± SEM. All data were normally distributed according to the Shapiro-Wilk normality test. Data were analyzed by 2-way ANOVA and post hoc tests applying the Bonferroni correction for multiple comparisons. *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001 compared to indicated groups.

Figure 2—figure supplement 1
Gating strategy used to identify BM (Panel A) and Payer’s patches (Panel B) Th17 cells.

Following red blood cell lysis, single cell suspensions were prepared from Payer’s patches and BM and stained with antibodies to the indicated antigens and live/dead cell dye. Gated regions are numbered from R1 to R6. The figure shows one representative gating of flow cytometric plot.

Effects of co-housing on bone volume, structure and turnover.

(A) Diagram of the experimental outline. 10-week-old female JAX and TAC mice were housed separately, or co-housed for 4 weeks. (B) Effects of co-housing on the composition and frequency of microbiome. (C) Quantitative PCR analysis of Sfb and total bacterial 16S rRNA genes in fecal samples. (D) Femoral trabecular bone volume fraction (BV/TV). (E) Trabecular number (Tb.N). (F) Trabecular thickness (Tb.Th). (G) Trabecular separation (Tb.Sp). (H) Cortical Area (Ct.Ar). (I) Cortical thickness (Ct.Th). (J) Serum levels of CTX. (K) Serum levels of OCN. n = 8–9 mice per group. Data were expressed as mean ± SEM. All data were normally distributed according to the Shapiro-Wilk normality test. Data were analyzed by two-way ANOVA and post hoc tests applying the Bonferroni correction for multiple comparisons. *p<0.05, **p<0.01, ****p<0.0001 compared to indicated groups.

Effects of cohousing on the frequency of BM and PP Th17 cells and transcript levels of inflammatory cytokines.

(A) Relative frequency of Th17 cells (IL-17+ CD4+ T cells) in PP. (B) SI Il17a mRNA levels. (C,D) Relative and absolute frequency of BM Th17 cells. (E) BM ll17a mRNA levels. (F) SI Tnfa (TNF) mRNA levels. (G) BM Tnfa mRNA levels. (H) SI Tnfsf11 mRNA levels. (I) BM Tnfsf11 mRNA levels. n = 8–9 mice per group. Data were expressed as mean ± SEM. All data were normally distributed according to the Shapiro-Wilk normality test. Data were analyzed by 2-way ANOVA and post hoc tests applying the Bonferroni correction for multiple comparisons. *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001 compared to indicated groups.

Effects of FMT on bone volume, structure and turnover.

(A) Diagram of the experimental outline. (B) Fecal microbiome composition in C57BL/6 (BL6) mice and C3H/HeN (C3H) mice. (C) Quantitative PCR analysis of Sfb and total bacterial 16S rRNA genes in fecal samples. (D) Femoral trabecular bone volume fraction (BV/TV). (E) Trabecular number (Tb.N). (F) Trabecular thickness (Tb.Th). (G) Trabecular separation (Tb.Sp). (H) Cortical Area (Ct.Ar). (I) Cortical thickness (Ct.Th). (J) Serum levels of CTX. (K) Serum levels of OCN. n = 9–10 mice per group. Data were expressed as mean ± SEM. All data were normally distributed according to the Shapiro-Wilk normality test. Data were analyzed by 2-way ANOVA and post hoc tests applying the Bonferroni correction for multiple comparisons. *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001 compared to indicated groups.

Effects of FMT on the frequency of BM and PP Th17 cells and transcript levels of inflammatory cytokines.

(A) Relative frequency of Th17 cells (IL-17+ CD4+ T cells) in PP. (B) SI Il17a mRNA levels. (C,D) Relative and absolute frequency of BM Th17 cells. (E) BM Il17a mRNA levels. (F) SI Tnfa (TNF) mRNA levels. (G) BM Tnfa mRNA levels. (H) SI Tnfsf11 mRNA levels. (I) BM Tnfsf11 mRNA levels. n = 9–10 mice per group. Data were expressed as mean ± SEM. All data were normally distributed according to the Shapiro-Wilk normality test. Data were analyzed by 2-way ANOVA and post hoc tests applying the Bonferroni correction for multiple comparisons. *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001 compared to indicated groups.

Tables

Key resources table
Reagent type
(species) or
resource
DesignationSource or
reference
IdentifiersAdditional
information
 strain, strain background (M. musculus)C57BL/6JJackson LaboratoryCat# JAX:000664, RRID:IMSR_JAX:000664Mice for in vivo experiments
strain, strain background
(M. musculus)
C57BL/6NTacTaconic biosciencesCat# TAC:b6, RRID:IMSR_TAC:b6Mice for in vivo experiments
strain, strain background
(M. musculus)
C3H/HeNTacTaconic biosciencesCat# TAC:c3h, RRID:IMSR_TAC:c3hMice for in vivo experiments
Chemical compound, drugAmpicillinSigma-AldrichCat# A9393For Microbiota depletion
Chemical compound, drugVancomycinSelleckchemCat# S2575For Microbiota depletion
Chemical compound, drugNeomycin SulfateSigma-AldrichCat# 1062540100For Microbiota depletion
Chemical compound, drugMetronidazoleSigma-AldrichCat# M3761For Microbiota depletion
Chemical compound, drugTrizolLife
Technologies
Cat# 15596018Cells Sample collection for total RNA isolation
Chemical compound, drugZombie NIRBiolegendCat# 423105FACS (0.1 ul per test)
Chemical compound, drugCell Activation Cocktail (without Brefeldin A)BiolegendCat# 423301Cell Activation Cocktail
Chemical compound, drugMonensin SolutionBiolegendCat# 420701Monensin for cell activation
Chemical compound, drugFixation BufferInvitrogenCat# 2178648For cell fixation
Chemical compound, drugPermeabilization BufferInvitrogenCat# 2229113Cell Permeabilization Buffer
AntibodyAnti-Mouse CD16/32 (clone 93) (Mouse monoclonal)BiolegendCat# 101302, RRID:AB_312801FACS (1 ul per test)
AntibodyBV 510-CD45 (clone 30-F11) (Mouse monoclonal)BiolegendCat# 103138, RRID:AB_2563061FACS (1 ul per test)
AntibodyBV 421-TCRβ (clone H57-597) (Mouse monoclonal)BiolegendCat# 109230, RRID:AB_2562562FACS (1 ul per test)
AntibodyAF 700-CD3 (clone 17A2) (Mouse monoclonal)BiolegendCat# 100216, RRID:AB_493697FACS (1 ul per test)
AntibodyPerCP/Cy5.5-CD4 (clone RM4-5) (Mouse monoclonal)BiolegendCat# 100540, RRID:AB_893326FACS (1 ul per test)
AntibodyBV 711-CD8 (clone 53–6.7) (Mouse monoclonal)BD BiosciencesCat# 100748, RRID:AB_2562100FACS (1 ul per test)
AntibodyAnti-mouse PE-IL-17A (clone eBio17B7) (Mouse monoclonal)Thermo Fisher ScientificCat# 12-7177-81, RRID:AB_763582FACS (1 ul per test)
sequenced-based reagentcDNA Synthesis kitInvitrogenCat# 18080–051For RT-PCR
sequenced-based reagentSYBR GREENApplied BiosciencesCat# 4367659For RT-PCR
commercial assay or kitOsteocalcinImmunodiagnostic systems Ltd.Cat# AC-12F1For the measurement of serum levels of Osteocalcin
commercial assay or kitCTXImmunodiagnostic systems Ltd.Cat# AC-06F1For the measurement of serum levels of CTX
commercial assay or kitDNA Stool Qiagen kitQiagenCat# 51604For the 16S and SFB PCR
software, algorithmFlow cytometryLSR II systemBD Biosciences
software, algorithmFlowJo softwareTree Star, IncNA
software, algorithmMicroCT-40 scannerScancoNA
software, algorithmQIIMEOpen SourceNA
software, algorithmGraphPad Prism 8GraphPad SoftwareNA

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  1. Abdul Malik Tyagi
  2. Trevor M Darby
  3. Emory Hsu
  4. Mingcan Yu
  5. Subhashis Pal
  6. Hamid Dar
  7. Jau-Yi Li
  8. Jonathan Adams
  9. Rheinallt M Jones
  10. Roberto Pacifici
(2021)
The gut microbiota is a transmissible determinant of skeletal maturation
eLife 10:e64237.
https://doi.org/10.7554/eLife.64237