Network-based multi-omics integration reveals metabolic at-risk profile within treated HIV-infection

Network-based multi-omics integration reveals metabolic at-risk profile within treated HIV-infection

Multiomics technologies improve the biological understanding of health status in people living with HIV on antiretroviral therapy (PWH). Still, a systematic and in-depth characterization of metabolic risk profile during successful long-term treatment is lacking. Here, we used multi-omics (plasma lip...

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Bibliographic Details
Main Authors: Flora Mikaeloff, Marco Gelpi, Rui Benfeitas, Andreas D Knudsen, Beate Vestad, Julie Høgh, Johannes R Hov, Thomas Benfield, Daniel Murray, Christian G Giske, Adil Mardinoglu, Marius Trøseid, Susanne D Nielsen, Ujjwal Neogi
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2023-02-01
Series:eLife
Subjects:
HIV
aging
metabolomics
microbiome
Online Access:https://elifesciences.org/articles/82785

Internet

https://elifesciences.org/articles/82785

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