Evidence map›Paper›PMID 25105420›Full record

ArticleMolecular bioSystems2014

A combined chemometric and quantitative NMR analysis of HIV/AIDS serum discloses metabolic alterations associated with disease status.

Tracy R McKnight, Hikari A I Yoshihara, Lungile J Sitole, Jeffery N Martin, Francois Steffens, Debra Meyer

Abstract read
In one paragraph

Article in Molecular bioSystems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Metabolomics of HIV in the Modern cART Era.Advances in experimental medicine and biology · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Trends and Adaptive Optimal Set Points of CD4AIDS research and treatment · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

6 authors at 3 institutions in 2 countries.

Tracy R McKnightDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Hikari A I Yoshihara
Lungile J Sitole
Jeffery N Martin
Francois Steffens
Debra Meyer
University of Pretoria · ZAUniversity of California, San Francisco · USUniversity of San Francisco · US

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
Why do Patients Develop KSU54CA190153 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KAMBUGU, ANDREW DDUNGU, MARTIN, JEFFREY N · 2014 to 2019
$3.6M
NCI NIH HHS U54 CA190153NIAID NIH HHS P30 AI027763
6 · The paper itself

Abstract

Individuals infected with the human immunodeficiency virus (HIV) often suffer from concomitant metabolic complications. Treatment with antiretroviral therapy has also been shown to alter the metabolism of patients. Although chemometric analysis of nuclear magnetic resonance (NMR) spectra of human sera can distinguish normal sera (HIVneg) from HIV-infected sera (HIVpos) and sera from HIV-infected patients on antiretroviral therapy (ART), quantitative analysis of the discriminating metabolites and their relationship to disease status has yet to be determined. The objectives of the study were to analyze NMR spectra of HIVneg, HIVpos, and ART serum samples with a combination of chemometric and quantitative methods and to compare the NMR data with disease status as measured by viral load and CD4 count. High-resolution magic angle spinning (HRMAS) NMR spectroscopy was performed on HIVneg (N = 10), HIVpos (N = 10), and ART (N = 10) serum samples. Chemometric linear discriminant analysis classified the three groups of spectra with 100% accuracy. Concentrations of 12 metabolites were determined with a semi-parametric metabolite quantification method named high-resolution quantum estimation (HR-QUEST). CD4 count was directly associated with alanine (p = 0.008), and inversely correlated with both glutamine (p = 0.017) and glucose (p = 0.022) concentrations. A multivariate linear model using alanine, glutamine and glucose as covariates demonstrated an association with CD4 count (p = 0.038). The combined chemometric and quantitative analysis of the data disclosed previously unknown associations between specific metabolites and disease status. The observed associations with CD4 count are consistent with metabolic disorders that are commonly seen in HIV-infected patients.

Indexed as

Acquired Immunodeficiency SyndromeAlanineBiomarkersCD4 Lymphocyte CountGlucoseGlutamineHIV SeropositivityHumansMagnetic Resonance SpectroscopyViral LoadAlanineBiomarkersGlucoseGlutamine

Identifiers

PMID25105420
PMCPMC4492936
OpenAlexW2138641201

What OpenQuestion holds

Textmetadata
LicenceTDM
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.