François N. Pattou

The paper identifies ISG15 as a key factor in viral resistance in pancreatic alpha cells, showing its protective role against coxsackievirus B1 in human islet cells.

The paper develops a deep learning model combining clinical data, gene expression, and DNA methylation to distinguish NASH from steatosis and identifies new genes involved in liver disease severity.

This study identifies a circadian clock-controlled signaling pathway that drives hepatic stellate cell activation in liver fibrosis, offering potential drug targets and a basis for chronotherapeutic strategies.

The paper identifies genetic clusters underlying T2D and hypertension comorbidity using partitioned polygenic scores, improving risk prediction for individuals with heightened susceptibility.

The paper identifies shared genetic regulation across mRNA, proteins, and metabolites in blood, revealing networks and mediators of GWAS variants.

This study shows that HDAC inhibition by trichostatin A disrupts β-cell function and identity through epigenome-wide remodeling in both mouse and human β-cell models.

The paper examines time-of-day-dependent transcriptome and metabolome variations in human NAFL and NASH livers, finding disruptions in rhythmic gene expression and metabolites.

The paper identifies hypermethylation of PNLIPRP1 in T2D patients and shows its association with acinar-to-ductal metaplasia and PDAC risk.

The paper identifies splicing QTLs in human pancreatic islets that contribute to type 2 diabetes susceptibility by affecting gene splicing and revealing novel molecular mechanisms.

The paper shows REST inhibits pancreatic endocrine differentiation in mice, zebrafish, and human organoids, identifying it as a key negative regulator.

The paper identifies age-related DNA methylation changes in human skeletal muscle through a meta-analysis and integrates these with transcriptomic and proteomic data, revealing enriched age-related gene expression patterns.

The paper reconstructs gene regulatory networks in human adult pancreatic cell types and identifies key transcription factors regulating cell identity.

This study develops machine learning models to predict liver fat content using multi-omic and clinical data from NAFLD patients, achieving higher accuracy than existing tools.

The paper links diabetes-associated enhancers with their target genes using 3D chromatin architecture in human pancreatic islets, revealing genetic variants that impact insulin secretion heritability.

This study investigates the association between genetic variants in PMAT and OCT1 transporters and metformin gastrointestinal intolerance in type 2 diabetes patients.

This study identifies β cell-specific lncRNAs that regulate transcriptional networks and show dysregulation in type 2 diabetes.