Role of macrophage scavenger receptor MSR1 in the progression of non-alcoholic steatohepatitis

Sheng, Wei; Ji, Guang; Zhang, Li

doi:10.3389/fimmu.2022.1050984

Cited by 2 publications

(2 citation statements)

References 135 publications

(169 reference statements)

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“…We also observed an induction of gut T regs likely driven by increased SCFAs expected to be generated by an inulin-enriched microbiome (Fig. 4G) [85]. The numbers of RORγt + T regs , representing the gut-specific pT reg population were reduced in control diet 5XFAD colons (Fig.…”

Section: Loss Of Cxcr4 Hi Gut Plasma Cells and Systemic B Cell Activa...mentioning

confidence: 54%

Single-cell transcriptomics reveals colonic immune perturbations during amyloid-β driven Alzheimer’s disease in mice

Makhijani,

Emani,

Aguirre

et al. 2024

Preprint

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The "gut-brain axis" is emerging as an important target in Alzheimer's disease (AD). However, immunological mechanisms underlying this axis remain poorly understood. Using single-cell RNA sequencing of the colon immune compartment in the 5XFAD amyloid-β (Aβ) mouse model, we uncovered AD-associated changes in ribosomal activity, oxidative stress, and BCR/plasma cell activity. Strikingly, levels of colon CXCR4+ antibody secreting cells (ASCs) were significantly reduced. This corresponded with accumulating CXCR4+ B cells and gut-specific IgA+ cells in the brain and dura mater, respectively. Consistently, a chemokine ligand for CXCR4, CXCL12, was expressed at higher levels in 5XFAD glial cells and in in silico analyzed human brain studies, supporting altered neuroimmune trafficking. An inulin prebiotic fiber diet attenuated AD markers including Aβ plaques and overall frailty. These changes corresponded to an expansion of gut IgA+ cells and rescued peripheral Tregs levels. Our study points to a key glia-gut axis and potential targets against AD.

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Section: Loss Of Cxcr4 Hi Gut Plasma Cells and Systemic B Cell Activa...mentioning

confidence: 54%

Single-cell transcriptomics reveals colonic immune perturbations during amyloid-β driven Alzheimer’s disease in mice

Makhijani,

Emani,

Aguirre

et al. 2024

Preprint

View full text Add to dashboard Cite

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“…Similarly, we also recapitulated risk profiles of plasma proteins involved in cholesterol homeostasis. MSR1 (ranked 18 in the EBM Proteomics model) is responsible for mediating the endocytosis of modified LDLs and the uptake of modified lipoprotein (Sheng, Ji, & Zhang, 2022). In line with previous studies, elevated MSR1 levels were associated with an increased atherosclerosis risk ( Fig.…”

Section: Resultsmentioning

confidence: 99%

Interpretable Machine Learning Leverages Proteomics to Improve Cardiovascular Disease Risk Prediction and Biomarker Identification

Climente-González,

Oh,

Chajewska

et al. 2024

Preprint

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Cardiovascular diseases (CVD), primarily coronary heart disease and stroke, rank amongst the leading causes of long-term disability and mortality. Providing accurate disease risk predictions and identifying genes associated with CVD are crucial for prevention, early intervention, and the development of novel medications. The recent availability of UK Biobank Proteomics data enables the investigation of the blood proteome and its association with a wide variety of diseases. We employed the Explainable Boosting Machine (EBM), an interpretable machine learning model, for CVD risk prediction. The EBM model using proteomics outperforms traditional clinical models with an AUROC of 0.767 and an AUPRC of 0.2405. Adding clinical features further improves the AUROC to 0.785 and the AUPRC to 0.2835. Our models demonstrate consistent performance across sexes and ethnicities. While most prior studies using proteomics data for disease prediction have primarily focused on maximizing the accuracy at the population level, our model provides additional enriched insights into individualized disease risk predictions and in-depth biological insights into biomarkers. Our analysis also uncovers nonlinear risks linked to varying feature values. We further corroborate our findings using statistical approaches and evidence from the literature. In conclusion, we present a highly accurate and explanatory framework for proteomics data analysis, offering comprehensive and in-depth molecular and clinical insights. Our findings support future approaches that prioritize individualized disease risk prediction and the identification of target genes for drug development.

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Role of macrophage scavenger receptor MSR1 in the progression of non-alcoholic steatohepatitis

Cited by 2 publications

References 135 publications

Single-cell transcriptomics reveals colonic immune perturbations during amyloid-β driven Alzheimer’s disease in mice

Single-cell transcriptomics reveals colonic immune perturbations during amyloid-β driven Alzheimer’s disease in mice

Interpretable Machine Learning Leverages Proteomics to Improve Cardiovascular Disease Risk Prediction and Biomarker Identification

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