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Microbial Consortia-Immunoglobulin G Glycosylation Combination Scores Identify Severe Hepatic Steatosis and Significant Fibrosis in Patients with Metabolic Dysfunction-Associated Steatotic Liver Disease

Year: 2025
Type: article
Study design: Observational Study
Abstract: INTRODUCTION: Severe hepatic steatosis (HS) and significant hepatic fibrosis indicate severity of metabolic dysfunction-associated steatotic liver disease (MASLD), and the models for early detection are important. Recent studies suggest immunoglobulin G (IgG) glycosylation and microbial consortia may involve in the development of MASLD. This study investigates the utility of IgG glycosylation and microbial consortia in early detection models. METHODS: A total of 111 patients with MASLD categorized into high vs low controlled attenuation parameter (for HS) or high vs low FIB-4 (for fibrosis). We analyzed differences in microbial consortia and IgG1/IgG2 glycosylation features, creating scores for identifying severe HS and significant hepatic fibrosis. The combination scores for identifying severe HS and significant hepatic fibrosis in MASLD patients were derived based on the microbial consortia and IgG1/IgG2 glycosylation features accordingly. RESULTS: Megamonas was linked to severe HS, and Christensenellaceae R-7 , UCG-005 , CAG-56 , and Lachnospira were associated with significant hepatic fibrosis in patients with MASLD. The areas under curve of severe HS- and significant hepatic fibrosis-microbial scores were 0.731 and 0.773, respectively. The ratios of IgG2-N4H5F1/IgG1-N4H5F1 and bisected-IgG2/bisected-IgG1 predicted severe HS, while IgG2-N4H3F1/IgG1-N4H3F1, bisected-IgG1/bisected-IgG2, and IgG1-galactosylation/IgG2-galactosylation index identified significant hepatic fibrosis in MASLD. The combination scores including microbial consortia and glycosylation features achieved areas under curve of 0.776 and 0.810, showing comparable performance with established indices like HS index and FibroAST score. DISCUSSION: The study highlights the effectiveness of combining fecal microbiota and serum IgG glycosylation features in identifying MASLD severity, which are noninferior to the current regularly used models, and suggests the intervention of glycosylation as a promising therapeutic approach for MASLD.
Language: English
Subfield: Epidemiology
Field: Medicine
Open Access status: gold
Estimated APC paid: $2,800
Award: G139469985
OpenAlex ID: W4416575416
FWCI:
Cites: 42
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