Multi-omics datasets in people living with HIV (2000HIV study)

Botey Bataller, Javier

van Unen, N.

Blaauw, M.

Vos, W.A.

van Eekeren, L.

Matzaraki, V.

Verbon, A.

Groenendijk, A.L.

dos Santos, J.C.

Hellinghuizen, M.

Jacobs-Cleophas, Maartje

Stalenhoef, J.E.

Berrevoets, M.A.

Jiang, X.

Gupta, M.K.

Nguyen, N.

Xu, C.

Joosten, L.A.

Netea, M.G.

Ven, Andre van der

Li, Y.

In this collection, you can find the following datasets from the 2000HIV cohort: (1) gene counts (bulk transcriptomic data), (2) ex vivo cytokine data upon stimulation, (3) pre-imputed genetic data, (4) normalized metabolomics data, (5) methylation data from whole blood, and a (6) selection of phenotype data. The 2000HIV study is a prospective longitudinal cohort study of people living with HIV (PLHIV) on cART. It aims to study the determinants of inter-individual variation in PLHIV, discover new biological pathways, and identify biomarkers that play a role in persistent inflammation, accelerated aging, non-AIDS comorbidities, extreme HIV-related clinical phenotypes (Elite controllers, immunological non-responders, and rapid progressors) and the HIV viral reservoir size and composition. To this end, 1895 PLHIV, divided into two independent cohorts (a discovery and a validation cohort), recruited between 2019 and 2021 and followed up for two years. Extensive clinical data and measurements were registered, multi-omics data were generated, and the latent viral reservoir size and composition were assessed in this cohort. Within this study, multi-omics integration was performed to identify the drivers of variation and their influence on immune responses in PLHIV.