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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Detalles Bibliográficos
Autores principales: Mikaeloff, Flora, Gelpi, Marco, Benfeitas, Rui, Knudsen, Andreas D, Vestad, Beate, Høgh, Julie, Hov, Johannes R, Benfield, Thomas, Murray, Daniel, Giske, Christian G, Mardinoglu, Adil, Trøseid, Marius, Nielsen, Susanne D, Neogi, Ujjwal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2023
Materias:
Computational and Systems Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017104/
https://www.ncbi.nlm.nih.gov/pubmed/36794912
http://dx.doi.org/10.7554/eLife.82785

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017104/
https://www.ncbi.nlm.nih.gov/pubmed/36794912
http://dx.doi.org/10.7554/eLife.82785

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