Evidence map›Paper›PMID 23864227›Full record

ArticleBiological research for nursing2014

Identification of fatigue biomarkers in treated and treatment-naive HIV patients: preliminary results.

Kelly Jensen, Young Ah Goo, Anella Yahiaoui, Sundeep Bajwa, Dave Goodlett, Jim Russo, Joachim Voss

Open access · greenAbstract read
In one paragraph

Article in Biological research for nursing, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Proteomics, biomarkers, and HIV-1: A current perspective.Proteomics. Clinical applications · 2016
    Review
  5. Fatigue in HIV-Infected People: A Three-Year Observational Study.Journal of pain and symptom management · 2015
    Observational
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

7 authors at 2 institutions in 1 country.

Kelly JensenBBMB Department, Whitman College, Walla Walla, WA, USA jensenke90@gmail.com.
Young Ah GooSchool of Pharmacy, University of Washington, Seattle, WA, USA.
Anella YahiaouiSchool of Nursing, University of Washington, Seattle, WA, USA.
Sundeep BajwaSchool of Nursing, University of Washington, Seattle, WA, USA.
Dave GoodlettSchool of Pharmacy, University of Washington, Seattle, WA, USA.
Jim RussoBBMB Department, Whitman College, Walla Walla, WA, USA.
Joachim VossSchool of Nursing, University of Washington, Seattle, WA, USA.
University of Washington · USWhitman College · US

Funding

INSTITUTE FOR TRANSLATIONAL HEALTH SCIENCE (UL1): BPCAUL1RR025014 · NCRR · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2007 to 2011
$51.5M
Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
Development of a Biomarker for Fatigue in HIV/AIDSK22NR008672 · NINR · UNIVERSITY OF WASHINGTON · PI VOSS, JOACHIM G · 2006 to 2007
$291k
NCATS NIH HHS UL1 TR000423NCRR NIH HHS UL1 RR025014NCRR NIH HHS UL1RR025014NINR NIH HHS 5K22NR008672-02NINR NIH HHS K22 NR008672
6 · The paper itself

Abstract

Objective assessment in human immunodeficiency virus (HIV)-related fatigue has been elusive because the biological mechanisms are not well characterized. We tried to identify low-abundance plasma proteins that correlate with self-reported fatigue intensity in people living with HIV. We used plasma samples from 32 patients with HIV with varying degrees of fatigue who were either treated with nucleoside reverse transcriptase inhibitors or treatment naïve. The plasma samples were enriched for low-abundance proteins and trypsinized. The peptides were analyzed using shotgun proteomics. Five targets correlated with severity of fatigue: apolipoprotein A-1 (ApoA1), apolipoprotein B (ApoB), histine-rich glycoprotein, alpha-1 B glycoprotein, and orosomucoid 2. These targets were selected based on total abundance and spectral count differences, and ApoA1 and ApoB were analyzed via Western blots to verify the mass spectrometry results. ApoA1 levels were higher in untreated patients, while ApoB results suggested a possible positive trend in treated patients. Further analysis is needed to identify additional low-abundance proteins and confirm already-identified proteins as potential fatigue biomarkers.

Indexed as

Apolipoprotein A-IApolipoproteins BBiomarkersBlotting, WesternElectrophoresis, Gel, Two-DimensionalFatigueGlycoproteinsHIV InfectionsHumansMass SpectrometryOrosomucoidReverse Transcriptase InhibitorsApolipoprotein A-IApolipoproteins BBiomarkersGlycoproteinsOrosomucoidReverse Transcriptase InhibitorsantibodiesbiomarkersfatigueHIVmitochondriaproteins

Identifiers

PMID23864227
PMCPMC4692806
OpenAlexW2089067802

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.