Observational studyFrontiers in immunology2021
Integrative Lipidomics and Metabolomics for System-Level Understanding of the Metabolic Syndrome in Long-Term Treated HIV-Infected Individuals.
Observational study in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Machine Learning in HIV Care and Antiretroviral Therapy: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Multiomics plasma effects of switching from triple antiretroviral regimens to dolutegravir plus lamivudine.The Journal of antimicrobial chemotherapy · 2024Trial
- Metabolomic profiling reveals distinct and shared biology in COPD and IPF.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Miniaturized chromatography-based lipidomics methods towards single-cell analysis.Analytical and bioanalytical chemistry · 2026Review
- Review
- Genetic and molecular landscape of comorbidities in people living with HIV.Nature medicine · 2025Article
- Immuno-cell metabolic changes in HIV-1 infection.Infectious diseases & immunity · 2025Review
- Metabolomic and transcriptomic features of the cardiometabolic disease spectrum in people living with HIV.Infectious diseases & immunity · 2025Article
- N-Lactoyl Amino Acids: Emerging Biomarkers in Metabolism and Disease.Diabetes/metabolism research and reviews · 2025Review
- Lipidomic Profiling Reveals HSD17B13 Deficiency-Associated Dysregulated Hepatic Phospholipid Metabolism in Aged Mice.Metabolites · 2025Article
- Serum lipid metabolism characteristics and potential biomarkers in patients with unilateral sudden sensorineural hearing loss.Lipids in health and disease · 2024Article
- Lipidomics analysis reveals new insights into crisp grass carp associated with meat texture.Heliyon · 2024Article
- Plasma Lipidomic Profiles in cART-Treated Adolescents with Perinatally Acquired HIV Compared to Matched Controls.Viruses · 2024Article
- Exploring salivary metabolome alterations in people with HIV: towards early diagnostic markers.Frontiers in public health · 2024Article
- Comparative polar and lipid plasma metabolomics differentiate KSHV infection and disease states.Cancer & metabolism · 2023Article
- Chewing the fat: How lipidomics is changing our understanding of human health and disease in 2022.Analytical science advances · 2023Review
- Article
- Network-based multi-omics integration reveals metabolic at-risk profile within treated HIV-infection.eLife · 2023Article
- Lipid alternations in the plasma of COVID-19 patients with various clinical presentations.Frontiers in immunology · 2023Article
- Metabolomics in viral hepatitis: advances and review.Frontiers in cellular and infection microbiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
People living with HIV (PLWH) require life-long anti-retroviral treatment and often present with comorbidities such as metabolic syndrome (MetS). Systematic lipidomic characterization and its association with the metabolism are currently missing. We included 100 PLWH with MetS and 100 without MetS from the Copenhagen Comorbidity in HIV Infection (COCOMO) cohort to examine whether and how lipidome profiles are associated with MetS in PLWH. We combined several standard biostatistical, machine learning, and network analysis techniques to investigate the lipidome systematically and comprehensively and its association with clinical parameters. Additionally, we generated weighted lipid-metabolite networks to understand the relationship between lipidomic profiles with those metabolites associated with MetS in PLWH. The lipidomic dataset consisted of 917 lipid species including 602 glycerolipids, 228 glycerophospholipids, 61 sphingolipids, and 26 steroids. With a consensus approach using four different statistical and machine learning methods, we observed 13 differentially abundant lipids between PLWH without MetS and PLWH with MetS, which mainly belongs to diacylglyceride (DAG, n = 2) and triacylglyceride (TAG, n = 11). The comprehensive network integration of the lipidomics and metabolomics data suggested interactions between specific glycerolipids' structural composition patterns and key metabolites involved in glutamate metabolism. Further integration of the clinical data with metabolomics and lipidomics resulted in the association of visceral adipose tissue (VAT) and exposure to earlier generations of antiretroviral therapy (ART). Our integrative omics data indicated disruption of glutamate and fatty acid metabolism, suggesting their involvement in the pathogenesis of PLWH with MetS. Alterations in the lipid homeostasis and glutaminolysis need clinical interventions to prevent accelerated aging in PLWH with MetS.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.