Evidence map›Paper›PMID 26015072›Full record

ArticleBiological research for nursing2015

Comparing Genomic Profiles of Women With and Without Fibromyalgia.

Nada Lukkahatai, Brian Walitt, Alexandra Espina, Dan Wang, Leorey N Saligan

Open access · greenAbstract readComparative Study
In one paragraph

Article in Biological research for nursing, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

5 authors at 2 institutions in 1 country.

Nada LukkahataiSchool of Nursing, University of Nevada, Las Vegas, NV, USA National Institute of Nursing Research (NINR), National Institutes of Health (NIH), Bethesda, MD, USA.
Brian WalittNational Institute of Nursing Research (NINR), National Institutes of Health (NIH), Bethesda, MD, USA Section of Rheumatology, Washington Hospital Center, Washington, DC, USA.
Alexandra EspinaNational Institute of Nursing Research (NINR), National Institutes of Health (NIH), Bethesda, MD, USA.
Dan WangNational Institute of Nursing Research (NINR), National Institutes of Health (NIH), Bethesda, MD, USA.
Leorey N SaliganNational Institute of Nursing Research (NINR), National Institutes of Health (NIH), Bethesda, MD, USA saliganl@mail.nih.gov.
National Institute of Nursing Research · USNational Institutes of Health · US

Funding

Investigating Molecular-Genetic Correlates of FatigueZIANR000019 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI SALIGAN, LEOREY · 2010 to 2025
$12.8M
Intramural NIH HHS Z99 NR999999
6 · The paper itself

Abstract

backgroundFibromyalgia syndrome (FMS), a chronic musculoskeletal condition characterized by diffuse pain, fatigue, sleep impairment, and cognitive dysfunction, is associated with significant functional disability. Its underlying biological mechanisms are unknown. This study investigated differentially expressed genes between women with FMS and healthy volunteers.

methodsWomen who met the 1990 or 2010 American College of Rheumatology fibromyalgia criteria were compared to age- and race-matched pain-free healthy women. Peripheral blood samples were collected, and a full genome microarray gene expression analysis was performed. One-way analysis of variance was used to identify differentially expressed genes using the filtering criterion of 1% false discovery rate. Analysis of canonical pathways associated with these genes was performed. Confirmatory quantitative real-time polymerase chain reaction and enzyme-linked immunosorbent assay verified microarray results. Independent t-tests compared gene and protein expression between groups.

resultParticipants were 54 women with FMS and 25 controls. Expression arrays from a subset of women with FMS (n = 29) and controls (n = 20) showed upregulation of 12 genes (>1.8-fold change, p < .05) in the FMS sample. Differentially expressed genes were related to B-cell development, primary immunodeficiency signaling, and mitotic roles of polo-like kinase. CENPK and HSP90AA1 were the most differentially expressed genes (p < .01).

conclusionActivity of interrelated pathways related to immune response, and homeostasis appears to be relevant to the experience of FMS. Replication and exploration of the relationship between gene expression and symptom severity will help determine clinical relevance of these findings.

Indexed as

Real-Time Polymerase Chain ReactionAdultEnzyme-Linked Immunosorbent AssayFatigueFemaleFibromyalgiaGenomicsHumansPain Measurementfatiguefibromyalgiagenomic profilepain

Identifiers

PMID26015072
PMCPMC4755339
OpenAlexW2100947979

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.