Evidence map›Paper›PMID 23324479›Full record

ArticleBiological research for nursing2013

Fatigue-related gene networks identified in CD(14)+ cells isolated from HIV-infected patients: part I: research findings.

Joachim G Voss, Adrian Dobra, Caryn Morse, Joseph A Kovacs, Robert L Danner, Peter J Munson, Carolea Logan, Zoila Rangel, Joseph W Adelsberger, Mary McLaughlin and 3 more

Open access · greenAbstract read
In one paragraph

Article in Biological research for nursing, 2013. 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
0.8field-weighted citation impact, top 29% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Fatigue in HIV-Infected People: A Three-Year Observational Study.Journal of pain and symptom management · 2015
    Observational
  5. 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

13 authors at 7 institutions in 2 countries.

Joachim G VossBiobehavioral Nursing & Health Systems Department, University of Washington, School of Nursing, Seattle, WA 98195, USA. vossj@uw.edu
Adrian Dobra
Caryn Morse
Joseph A Kovacs
Robert L Danner
Peter J Munson
Carolea Logan
Zoila Rangel
Joseph W Adelsberger
Mary McLaughlin
Larry D Adams
Raghavan Raju
Marinos C Dalakas
National Institutes of Health Clinical Center · USUniversity of Washington · USNational Institute of Allergy and Infectious Diseases · USNational Institutes of Health · USCenter for Information Technology · USImperial College London · GBUniversity of Alabama at Birmingham · US

Funding

Statistical And Computational Methods For Gene Expression and Proteomic AnalysisZIACT000266 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI MUNSON, PETER J · 2009 to 2016
$4.2M
Statistical &Computational Methods For Gene ExpressionZ01CT000266 · CIT · COMPUTER RESEARCH AND TECHNOLOGY · PI MUNSON, PETER J · 1998 to 2008
$1.3M
Development of a Biomarker for Fatigue in HIV/AIDSK22NR008672 · NINR · UNIVERSITY OF WASHINGTON · PI VOSS, JOACHIM G · 2006 to 2007
$291k
Functional Genomics of Inflammation and Critical IllnessZIACL001164 · CLC · CLINICAL CENTER · PI DANNER, ROBERT L · 2009 to 2018
$0k
Evaluation of HIV-related ComplicationsZIACL008075 · CLC · CLINICAL CENTER · PI KOVACS, JOSEPH A · 2009 to 2025
$0k
Intramural NIH HHS Z01 CT000266NINR NIH HHS K22 NR008672NINR NIH HHS NR008672-01PHS HHS 05-CLINICALCENTER-0127
6 · The paper itself

Abstract

purposeHuman immunodeficiency virus (HIV)-related fatigue (HRF) is multicausal and potentially related to mitochondrial dysfunction caused by antiretroviral therapy with nucleoside reverse transcriptase inhibitors (NRTIs). METHODOLOGY: The authors compared gene expression profiles of CD14(+) cells of low versus high fatigued, NRTI-treated HIV patients to healthy controls (n = 5/group). The authors identified 32 genes predictive of low versus high fatigue and 33 genes predictive of healthy versus HIV infection. The authors constructed genetic networks to further elucidate the possible biological pathways in which these genes are involved. RELEVANCE FOR NURSING PRACTICE: Genes including the actin cytoskeletal regulatory proteins Prokineticin 2 and Cofilin 2 along with mitochondrial inner membrane proteins are involved in multiple pathways and were predictors of fatigue status. Previously identified inflammatory and signaling genes were predictive of HIV status, clearly confirming our results and suggesting a possible further connection between mitochondrial function and HIV. Isolated CD14(+) cells are easily accessible cells that could be used for further study of the connection between fatigue and mitochondrial function of HIV patients. IMPLICATION FOR PRACTICE: The findings from this pilot study take us one step closer to identifying biomarker targets for fatigue status and mitochondrial dysfunction. Specific biomarkers will be pertinent to the development of methodologies to diagnosis, monitor, and treat fatigue and mitochondrial dysfunction.

Indexed as

Blotting, WesternFatigueHIV InfectionsHumansLipopolysaccharide ReceptorsReverse Transcriptase InhibitorsSignal TransductionLipopolysaccharide ReceptorsReverse Transcriptase Inhibitors

Identifiers

PMID23324479
PMCPMC4790468
OpenAlexW2011090358

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.