Mohit Jain

The paper identifies pulmonary primary oxysterol and bile acid synthesis as a prognostic biomarker for pulmonary arterial hypertension, outperforming current clinical risk scores.

This study identifies the MCUR1-CCDC90B complex as a mitochondrial scaffold regulating metabolic homeostasis, showing its role in amino acid metabolism and linking its deficiency to neurometabolic disease.

The paper introduces a high-throughput rLC-MS system for metabolomics analysis, demonstrating its ability to capture metabolic variation in large human populations and predict metabolic aging.

This paper introduces a method using isotope tracing and mass isotopomer distributions to identify novel metabolites in mass spectrometry data, achieving 62% identification of unknown peaks.

The paper identifies NCOA7's role in lysosomal function and inflammatory sterol metabolism in PAH, showing its deficiency exacerbates disease through oxysterol/bile acid generation.

This study conducts a GWAS on fatty acids and oxylipins in HCHS/SOL participants, identifying 19 genetic loci and shared/distinct genetic architecture.

This study identifies ether lipid biosynthesis as a key pathway mediating the longevity benefits of biguanides like metformin in C. elegans.

Greengenes2 aligns 16S rRNA and shotgun metagenomic data using a whole-genome phylogeny, showing agreement in principal coordinates, taxonomy, and phenotype effect size.

This study shows that riboflavin depletion in C. elegans extends lifespan and improves metabolic health through multiple pathways.

This study uses gut microbiome data and machine learning to improve liver disease risk prediction, showing that combining microbiome features with conventional risk factors enhances model performance.

In 5,959 Finns with genotypes and stool metagenomes, GWAS found 583 independent SNP-taxon associations; dairy intake modified LCT effects on Bifidobacterium, and ABO-linked Faecalicatena lactaris tracked secretor status.

This paper introduces OGUs, a metagenome analysis method that uses sequence alignment hits to reference genomes for community analysis, showing better performance in predicting biological traits than taxonomic or 16S rRNA methods.

This study identifies 118 genetic loci associated with 2,319 metabolite features and finds 46 causal effects of metabolites on common diseases using genome-wide association and Mendelian randomization.