ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Host Plasma Microenvironment in Immunometabolically Impaired HIV Infection Leads to Dysregulated Monocyte Function and Synaptic Transmission Ex Vivo.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- A multicenter prospective observational multi-omics study protocol to identify biomarkers for severe dengue: COMBAT study clinical protocol.BMC infectious diseases · 2026Observational
- Microglia cause HIV-induced transcriptional and metabolic changes in human neural organoids.Communications biology · 2026Article
- Plasma proteomic profiling and molecular clustering reveal immune-defined prognostic subtypes in lung adenocarcinoma.International journal of cancer · 2026Article
- Multi-omics analysis identifies TBCB as a therapeutic target in sepsis-induced liver injury.International journal of surgery (London, England) · 2026Article
- Host Plasma Microenvironment in Immunometabolically Impaired HIV Infection Leads to Dysregulated Monocyte Function and Synaptic Transmission Ex Vivo.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Meeting Summary for Keystone Symposia on HIV Cure: Antiretroviral Therapy (ART)-Free Control of HIV Infection in Durban, South Africa, 2025.Pathogens & immunity · 2025Article
Corrections and comments
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Authors and funding
33 authors.
Funding
Abstract
Risk stratification using multi-omics data deepens understanding of immunometabolism in successfully treated people with HIV (PWH) is inadequately explained. A personalized medicine approach integrating blood cell transcriptomics, plasma proteomics, and metabolomics is employed to identify the mechanisms of immunometabolic complications in prolonged treated PWH from the COCOMO cohort. Among the PWHs, 44% of PWH are at risk of experiencing immunometabolic complications identified using the network-based patient stratification method. Utilizing advanced machine learning techniques and a Bayesian classifier, five plasma protein biomarkers; Tubulin Folding Cofactor B (TBCB), Gamma-Glutamylcyclotransferase (GGCT), Taxilin Alpha (TXLNA), Pyridoxal Phosphate Binding Protein (PLPBP) and Large Tumor Suppressor Kinase 1 (LATS1) are identified as highly differentially abundant between healthy control (HC)-like and immunometabolically at-risk PWHs (all FDR<10
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Registered trials
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