Evidence map›Paper›PMID 36794912›Full record

ArticleeLife2023

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

Flora Mikaeloff, Marco Gelpi, Rui Benfeitas, Andreas D Knudsen, Beate Vestad, Julie Høgh, Johannes R Hov, Thomas Benfield, Daniel Murray, Christian G Giske and 4 more

Open access · goldFull text read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.6field-weighted citation impact, top 3% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Artificial Intelligence in Infectious Diseases and Clinical Microbiology.Infectious diseases & clinical microbiology · 2026
    Review
  3. Observational
  4. Review
  5. Article
  6. Immuno-cell metabolic changes in HIV-1 infection.Infectious diseases & immunity · 2025
    Review
  7. Mouse Models of HIV-Associated Atherosclerosis.International journal of molecular sciences · 2025
    Review
  8. Article
  9. Observational
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 5 countries.

Flora MikaeloffThe Systems Virology Lab, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-6171-7043
Marco GelpiCopenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Rui BenfeitasNational Bioinformatics Infrastructure Sweden (NBIS), Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden.
Andreas D KnudsenCopenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Beate VestadResearch Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway.
Julie HøghCopenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Johannes R HovResearch Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway.
Thomas BenfieldDepartment of Infectious Diseases, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark.ORCID https://orcid.org/0000-0003-0698-9385
Daniel MurrayCentre of Excellence for Health, Immunity and Infections (CHIP), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Christian G GiskeDivision of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.
Adil MardinogluScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
Marius TrøseidResearch Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway.
Susanne D Nielsen *Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Ujjwal Neogi *The Systems Virology Lab, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-0844-3338
Copenhagen University Hospital · DKKarolinska Institutet · SEOslo University Hospital · NOAmager Hospital · DKKing's College London · GBStockholm University · SEUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

HIV InfectionsMultiomicsHumansMaleMetabolomeMetabolomicsRisk Factorsagingcomputational biologyHIVinfectious diseasemetabolomicsmicrobiologymicrobiomesystems biologyviruses

Identifiers

PMID36794912
PMCPMC10017104
OpenAlexW4321003693

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read35
Read underepoch 390

Registered trials

None linked

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.