Gary Steven Frost

Multi-Omic Dissection of Autism Reveals Dominant Effects of Family, Sex, and Host-Microbe Metabolic Interactions

This study analyzes multi-omic data from children with and without ASD to show that family and sex have stronger effects on microbiome and metabolome profiles than ASD diagnosis itself.

Postprandial profiling of the duodenal microbiome reveals the impact of food structure and association with luminal metabolite and gut hormone responses

This study profiles the duodenal microbiome after meals with different structures, showing how food structure affects bacterial composition and links to metabolites and gut hormones.

A fluorescent reporter system for scalable and live detection of PYY production from enteroendocrine cells with single-event resolution

This paper develops a fluorescent reporter system to detect PYY secretion from human enteroendocrine cells with single-event resolution, enabling drug discovery for metabolic diseases.

D- and L-Lactate enhance intestinal barrier function via activation of an apical HCAR1/Giα pathway in a human colonic epithelial cell model

A selective and augmentable FFAR2 signal circuitry programs a butyrate-induced cellular identity of enteroendocrine L-cells

The paper shows butyrate activates FFAR2 in L-cells to increase PYY and Pax6, enhancing secretory function through a Gi-dependent pathway without receptor internalization.

Modelling the gut microbiota of children with malnutrition: in vitro models reveal differences in fermentability of widely consumed carbohydrates

This study uses an in vitro model to show that inulin is poorly fermented by the gut microbiota of children with severe acute malnutrition, while legume-based feeds and milk oligosaccharides are more effectively fermented.

Genetic analysis of blood molecular phenotypes reveals regulatory networks affecting complex traits: a DIRECT study.

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

Predicting and elucidating the etiology of fatty liver disease using a machine learning-based approach: an IMI DIRECT study

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.

Variation in the plasma membrane monoamine transporter (PMAT, encoded in SLC29A4) and organic cation transporter 1 (OCT1, encoded in SLC22A1) and gastrointestinal intolerance to metformin in type 2 diabetes: an IMI DIRECT study

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