Fig. 1 | Scientific Reports

Fig. 1

From: Identification of foam cell like M2 macrophages, AEBP1 biomarkers, and resveratrol as potential therapeutic in MASLD using Ecotyper and WGCNA

Fig. 1

The overall data analysis framework for our analysis. Public transcriptomic datasets (GSE167523, GSE135251, and GSE68421) were analyzed. Ecotyper was used to identify transcriptionally distinct immune cell states and ecotypes in MASLD and MASH. Differentially expressed immune cell states between MASLD and MASH were identified to reveal disease-specific signatures. WGCNA was applied to detect co-expression modules associated with disease progression. Functional enrichment analyses were performed using GO and KEGG to interpret the co-expression modules. Resveratrol was identified as a potential therapeutic candidate through statistical drug screening models. External datasets were used to validate the role of resveratrol and immune cell states in MASLD after treatment. Immune cell states’ ability to distinguish MASLD from MASH was evaluated using AUC analysis. Mendelian randomization was conducted to establish causal relationships between key genes and MAFLD progression. WGCNA: weighted gene co-expression network analysis; GO: gene ontology; KEGG: Kyoto Encyclopedia of Genes and Genomes; MASLD: metabolic dysfunction-associated steatotic liver; MASH: metabolic dysfunction-associated steatohepatitis; AUC: Area Under the Curve.

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