Network-based multi-omics integration reveals metabolic at-risk profile within treated HIV-infection
| Title: | Network-based multi-omics integration reveals metabolic at-risk profile within treated HIV-infection |
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| 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 |
| Source: | eLife, Vol 12 (2023) |
| Publisher Information: | eLife Sciences Publications Ltd, 2023. |
| Publication Year: | 2023 |
| Collection: | LCC:Medicine LCC:Science LCC:Biology (General) |
| Subject Terms: | HIV, aging, metabolomics, microbiome, Medicine, Science, Biology (General), QH301-705.5 |
| More Details: | 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 lipidomic, metabolomic, and fecal 16 S microbiome) data-driven stratification and characterization to identify the metabolic at-risk profile within PWH. Through network analysis and similarity network fusion (SNF), we identified three groups of PWH (SNF-1–3): healthy (HC)-like (SNF-1), mild at-risk (SNF-3), and severe at-risk (SNF-2). The PWH in the SNF-2 (45%) had a severe at-risk metabolic profile with increased visceral adipose tissue, BMI, higher incidence of metabolic syndrome (MetS), and increased di- and triglycerides despite having higher CD4+ T-cell counts than the other two clusters. However, the HC-like and the severe at-risk group had a similar metabolic profile differing from HIV-negative controls (HNC), with dysregulation of amino acid metabolism. At the microbiome profile, the HC-like group had a lower α-diversity, a lower proportion of men having sex with men (MSM) and was enriched in Bacteroides. In contrast, in at-risk groups, there was an increase in Prevotella, with a high proportion of MSM, which could potentially lead to higher systemic inflammation and increased cardiometabolic risk profile. The multi-omics integrative analysis also revealed a complex microbial interplay of the microbiome-associated metabolites in PWH. Those severely at-risk clusters may benefit from personalized medicine and lifestyle intervention to improve their dysregulated metabolic traits, aiming to achieve healthier aging. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2050-084X |
| Relation: | https://elifesciences.org/articles/82785; https://doaj.org/toc/2050-084X |
| DOI: | 10.7554/eLife.82785 |
| Access URL: | https://doaj.org/article/d002c49ce1f947769f9325cf8660526a |
| Accession Number: | edsdoj.002c49ce1f947769f9325cf8660526a |
| Database: | Directory of Open Access Journals |
| ISSN: | 2050084X |
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| DOI: | 10.7554/eLife.82785 |
| Published in: | eLife |
| Language: | English |