Robert Gerszten

Jan 12, 2025 | nature.com | Virginia S. Hahn |Ruin Moaddel |Joel S. Bader |Robert Gerszten |Jerome I. Rotter |Stephen S. Rich | +4 more

AbstractPeople living with HIV are at higher risk of heart failure and associated left atrial remodeling compared to people without HIV. Mechanisms are unclear but have been linked to inflammation and premature aging. Here we obtain plasma proteomics concurrently with cardiac magnetic resonance imaging in two independent study populations to identify parallels between HIV-related and aging-related immune dysfunction that could contribute to atrial remodeling and clinical heart failure.

Jun 4, 2024 | nature.com | Andrew Perry |Eric Farber-Eger |Tomas Gonzales |Venkatesh L. Murthy |Laura A. Colangelo |Keenan A. Walker | +8 more

AbstractDespite the wide effects of cardiorespiratory fitness (CRF) on metabolic, cardiovascular, pulmonary and neurological health, challenges in the feasibility and reproducibility of CRF measurements have impeded its use for clinical decision-making. Here we link proteomic profiles to CRF in 14,145 individuals across four international cohorts with diverse CRF ascertainment methods to establish, validate and characterize a proteomic CRF score.

Apr 22, 2024 | ahajournals.org | Svati H. Shah |Robert Gerszten

Traditional scientific discovery has been flipped on its head, in large part because of enormous amounts of ‘omics data generated from human samples. Scientific discovery previously initiated in model systems has given way to a human-forward approach where genomic, proteomic, and metabolomic profiling (‘omics) is performed in thousands of biospecimens in just months.

Mar 29, 2023 | nature.com | Yu Xu |Scott Ritchie |Maik Pietzner |Loïc Lannelongue |Samuel A. Lambert |Sebastian May-Wilson | +17 more

AbstractThe use of omic modalities to dissect the molecular underpinnings of common diseases and traits is becoming increasingly common. But multi-omic traits can be genetically predicted, which enables highly cost-effective and powerful analyses for studies that do not have multi-omics1.