Aarthi Ravikrishnan

This study investigates how menopause alters Malassezia fungal populations on skin and their impact on inflammation and skin health in Asian women.

The paper investigates how individual-specific microbial functions and host-microbe interactions influence skin recovery after barrier disruption in a human cohort.

The paper develops a skin metatranscriptomics workflow to analyze microbial gene activity across five skin sites in 27 healthy adults, revealing discrepancies between transcriptomic and genomic abundances and identifying key microbial pathways and antimicrobial genes.

The paper identifies prevalent skin microbiome configurations (dermotypes) across body sites and links them to host factors and disease risk.

The paper analyzes gut metagenomes of Asian octogenarians to identify age-related microbial shifts and their associations with aging phenotypes.

The paper investigates how life stages affect the human skin microbiome and lipid mediators, finding microbial correlations with lipid profiles and cytokine production.

The paper uses long-read and Hi-C technologies to analyze gut microbiomes from Southeast Asians, revealing novel species, improved references, and uncharacterized biosynthetic gene clusters.

The paper characterizes the ecological and evolutionary dynamics of gut microbiomes colonized by carbapenemase-producing Enterobacteriaceae (CPE) using longitudinal metagenomics and whole genome sequencing.

This study identifies microbial interactions in the gut using a graph-based algorithm, revealing condition-dependent dependencies and trophic-level organization among 52 gut microbes.

The paper develops a computational framework to quantify metabolic interactions in microbial co-cultures using a new index and experimental validation.

The paper introduces MetQuest, a graph-theoretic algorithm to enumerate all possible metabolic pathways between source and target molecules, demonstrating its application in biosynthesis and microbial community analysis.