Gaucher Disease: Microglia orchestrate neuroinflammation
Gaucher disease is a genetic disorder caused by mutations in the gene coding for the enzyme glucocerebrosidase. These mutations prevent cells from breaking down a lipid called glucosylceramide, which, together with its metabolite glucosylphingosine, promotes inflammation and other alterations that can harm the body’s tissues (Grabowski et al., 2021; Nagata et al., 2017; Nair et al., 2015).
There are three different forms of Gaucher disease: type 1 which is milder and affects the spleen, liver and bone; and types 2 and 3 which, in addition to these alterations, damage neurons and other cell types in the brain. However, the mechanisms responsible for the neurological effects associated with types 2 and 3 (which are collectively known as neuronopathic Gaucher disease) are poorly understood. This is largely because neurodegeneration is difficult to study as it involves complex interactions between neurons and multiple other cell types in the brain, including microglia and astrocytes, which support the function of neurons. Now, in eLife, Pramod Mistry and colleagues from Yale University – including Chandra Sekhar Boddupalli and Shiny Nair as joint first authors – report that microglia play a central role in the neurological damage associated with neuronopathic Gaucher disease (Boddupalli et al., 2022).
The team set out to find how glucocerebrosidase deficiency leads to neuroinflammation which is a major determinant of neurodegeneration in Gaucher disease. To do this, Boddupalli et al. studied a mouse model of neuronopathic Gaucher disease which lacked the gene for glucocerebrosidase (called Gba1) in all tissues except skin to avoid death soon after birth. They also generated three additional mouse models: neuronopathic Gaucher disease mice where Gba1 expression was restored in their microglia or neurons, and mice with Gba1 selectively deleted from their microglia, which mimics late onset neuronopathic Gaucher disease.
Boddupalli et al. found that loss of Gba1 resulted in microglia and astrocyte activation, as well as blood-derived immune cells infiltrating the brain (Figure 1A). Analyzing which genes were expressed in the different cell types of Gba1 deficient mice at a single cell resolution revealed that important neuroinflammatory networks became uncontrolled. In particular, the activated microglia expressed a set of genes that triggered an immune response. However, when the expression of Gba1 was restored in microglia, this reduced inflammation and astrocyte immune activation, stemmed the influx of immune cells, and improved mouse survival (Figure 1B). These results suggest that while the infiltration of immune cells into the brain is a key aspect of neuronopathic Gaucher disease, microglia activation plays a prominent role in the neuroinflammation associated with the disorder.
Next, Boddupalli et al. investigated the effects of substrate reduction therapy (SRT), a treatment strategy for certain metabolic disorders. SRT drugs block the synthesis of glucosylceramide, preventing this lipid and its metabolite glucosylsphingosine from accumulating inside cells (Blumenreich et al., 2021; Cabrera-Salazar et al., 2012). An SRT approach using a drug that cannot cross the blood-brain-barrier has been approved to treat the non-neurological symptoms of Gaucher disease. Boddupalli et al. found that administration of a brain-penetrant SRT drug to mutant mice that re-expressed Gba1 in their microglia, reduced neuroinflammation even further (Figure 1C). These findings suggest that the accumulation of glucosylceramide and glucosylsphingosine, and microglia activation, are the main drivers of neuroinflammation in Gaucher disease. A treatment that counteracts both these mechanisms could potentially ameliorate the neurological effects of the disorder.
Remarkably, the team also found a number of early indicators of neurological damage in mice lacking Gba1, including a marker of neuronal injury called Nf-L (short for neurofilament light chain; Gaetani et al., 2019; Weinhofer et al., 2021). Nf-L was 2,000 times higher in the blood of neuronopathic Gaucher mice, 100 times higher in mice with Gba1 selectively deleted from their microglia, and this correlated with the elevation of glucosylphingosine, a well-established marker of Gaucher disease. In addition, patients with Gaucher disease type 3 had greater amounts of Nf-L in their blood than patients with type 1, who do not exhibit overt neurological symptoms.
A protein that plays a critical role in lipid metabolism called ApoE (short for apolipoprotein E; Serrano-Pozo et al., 2021) was also highly elevated in the astrocytes and microglia of the mutant mice, as well as in the blood of untreated type 1 Gaucher patients. Furthermore, other lipids, namely hexosylceramides and lysophosphatidylcholine (Bodennec et al., 2002), were present at very high levels in the brains of mice which had Gba1 selectively deleted from their microglia. Boddupalli et al. found that SRT lowered the levels of Nf-L, ApoE, hexosylceramides and lysophosphatidylcholine in the mutant mice, providing further evidence that these molecules are relevant markers for neuronopathic Gaucher disease.
The lack of early biomarkers for neuronopathic Gaucher disease severely curtails clinicians’ ability to detect neurological damage before the onset of symptoms. Further validation of the markers identified in this study could help develop new therapies for preventing or delaying disease progression caused by glucocerebrosidase deficiency.
The potential impact of these findings extends well beyond Gaucher disease, as patients with this disorder have a five- to twenty-fold increased risk of developing Parkinson’s disease and Lewy Body Dementia. Furthermore, carriers of Gaucher disease, who have single allele mutations in the gene for glucocerebrosidase and no symptoms, are also equally susceptible to these neurodegenerative diseases (Aharon-Peretz et al., 2004; Sidransky and Lopez, 2012). Thus, early detection of the biomarkers identified could help clinicians detect which individuals are more likely to develop Parkinson’s disease and Lewy Body Dementia, and prevent or limit progression of these disorders.
References
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Mutations in the glucocerebrosidase gene and Parkinson’s disease in Ashkenazi JewsThe New England Journal of Medicine 351:1972–1977.https://doi.org/10.1056/NEJMoa033277
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Neurofilament light chain as a biomarker in neurological disordersJournal of Neurology, Neurosurgery, and Psychiatry 90:870–881.https://doi.org/10.1136/jnnp-2018-320106
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Gaucher disease: basic and translational science needs for more complete therapy and managementMolecular Genetics and Metabolism 132:59–75.https://doi.org/10.1016/j.ymgme.2020.12.291
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The link between the GBA gene and parkinsonismThe Lancet. Neurology 11:986–998.https://doi.org/10.1016/S1474-4422(12)70190-4
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© 2022, Feldman
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Background:
Post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP) is a severe and deadly adverse event following ERCP. The ideal method for predicting PEP risk before ERCP has yet to be identified. We aimed to establish a simple PEP risk score model (SuPER model: Support for PEP Reduction) that can be applied before ERCP.
Methods:
This multicenter study enrolled 2074 patients who underwent ERCP. Among them, 1037 patients each were randomly assigned to the development and validation cohorts. In the development cohort, the risk score model for predicting PEP was established via logistic regression analysis. In the validation cohort, the performance of the model was assessed.
Results:
In the development cohort, five PEP risk factors that could be identified before ERCP were extracted and assigned weights according to their respective regression coefficients: –2 points for pancreatic calcification, 1 point for female sex, and 2 points for intraductal papillary mucinous neoplasm, a native papilla of Vater, or the pancreatic duct procedures (treated as ‘planned pancreatic duct procedures’ for calculating the score before ERCP). The PEP occurrence rate was 0% among low-risk patients (≤0 points), 5.5% among moderate-risk patients (1–3 points), and 20.2% among high-risk patients (4–7 points). In the validation cohort, the C statistic of the risk score model was 0.71 (95% CI 0.64–0.78), which was considered acceptable. The PEP risk classification (low, moderate, and high) was a significant predictive factor for PEP that was independent of intraprocedural PEP risk factors (precut sphincterotomy and inadvertent pancreatic duct cannulation) (OR 4.2, 95% CI 2.8–6.3; p<0.01).
Conclusions:
The PEP risk score allows an estimation of the risk of PEP prior to ERCP, regardless of whether the patient has undergone pancreatic duct procedures. This simple risk model, consisting of only five items, may aid in predicting and explaining the risk of PEP before ERCP and in preventing PEP by allowing selection of the appropriate expert endoscopist and useful PEP prophylaxes.
Funding:
No external funding was received for this work.