Ravi V. Shah

This study identifies a tRNA-derived small RNA that reduces cardiac fibrosis and hypertrophy through cell-type-specific mechanisms in mouse and human cardiac cells.

This study uses spatial transcriptomics to analyze gene expression in heart transplant recipients during rejection, identifying distinct transcriptomic profiles associated with different rejection types and outcomes.

The paper identifies genetic drivers of protein change over time using longitudinal proteomics data from MESA, UK Biobank, and CARDIA, finding that baseline adjustment improves replication but may introduce biases.

This study examines how aging and immunosuppression affect immune cell composition and rejection risk in heart transplant recipients, finding lower rejection odds with age and specific transcriptomic changes.

This paper shows that obesity-related extracellular vesicles from visceral adipose tissue impair cardiac function and contribute to arrhythmia by affecting cardiomyocytes, fibroblasts, and macrophages.

This paper introduces TReD, a framework integrating population-level disease signatures and cell-based drug responses to identify potential therapeutics for COVID-19 and T2D.

The paper identifies obesity-related transcriptional changes in circulating extracellular vesicles and links them to adipose tissue epigenetics and inflammatory disease risk.

The paper integrates proteomics and transcriptomics with genetic analyses to identify molecular mechanisms and targets of coronary artery disease.

This paper uses Mendelian randomization to investigate the causal relationship between branched chain amino acids (BCAAs) and type 2 diabetes, finding that BCAAs are biomarkers of diabetes and higher insulin rather than mediators.