Evidence map›Paper›PMID 26675493›Full record

ArticleBBA clinical2015

Circulating long noncoding RNA GAS5 levels are correlated to prevalence of type 2 diabetes mellitus.

Gay Carter, Branko Miladinovic, Achintya A Patel, Lauren Deland, Stephen Mastorides, Niketa A Patel

Open access · hybridAbstract read
In one paragraph

Article in BBA clinical, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 5% 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

94 citing papers in PubMed, 3 syntheses or guidelines pooled it, 164 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. International journal of endocrinology · 2025
    Article
  13. Article
  14. Review
  15. Review
  16. Liquid Biopsy: A Game Changer for Type 2 Diabetes.International journal of molecular sciences · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Review

34 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Gay CarterJames A. Haley Veterans Hospital, Tampa, FL 33612, United States.
Branko MiladinovicUniversity of South Florida, Tampa, FL 33612, United States.
Achintya A PatelUniversity of South Florida, Tampa, FL 33612, United States.
Lauren DelandJames A. Haley Veterans Hospital, Tampa, FL 33612, United States.
Stephen MastoridesJames A. Haley Veterans Hospital, Tampa, FL 33612, United States.
Niketa A PatelJames A. Haley Veterans Hospital, Tampa, FL 33612, United States ; University of South Florida, Tampa, FL 33612, United States.
James A. Haley Veterans' Hospital · USUniversity of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes mellitus (DM), a metabolic disease, is characterized by impaired fasting glucose levels. Type 2 DM is adult onset diabetes. Long non-coding RNAs (lncRNAs) regulate gene expression and multiple studies have linked lncRNAs to human diseases.

methodsSerum samples obtained from 96 participating veterans at JAH VA were deposited in the Research Biospecimen Repository. We used a two-stage strategy to identify an lncRNA whose levels correlated with T2DM. Initially we screened five serum samples from diabetic and non-diabetic individuals using lncRNA arrays. Next, GAS5 lncRNA levels were analyzed in 96 serum samples using quantitative PCR. Receiver operating characteristic (ROC) analysis was performed to determine the optimal cutoff GAS5 for diagnosis of DM.

resultsOur results demonstrate that decreased GAS5 levels in serum were associated with diabetes in a cohort of US military veterans. The ROC analysis revealed an optimal cutoff GAS5 value of less than or equal to 10. qPCR results indicated that individuals with absolute GAS5 < 10 ng/μl have almost twelve times higher odds of having diabetes (Exact Odds Ratio [OR] = 11.79 (95% CI: 3.97, 37.26), p < 0.001). Analysis indicated area under curve (AUC) of ROC of 0.81 with 85.1% sensitivity and 67.3% specificity in distinguishing non-diabetic from diabetic subjects. The positive predictive value is 71.4%.

conclusionlncRNA GAS5 levels are correlated to prevalence of T2DM. GENERAL SIGNIFICANCE: Assessment of GAS5 in serum along with other parameters offers greater accuracy in identifying individuals at-risk for diabetes.

Indexed as

AUC, area under curveBMI, body mass indexCI, confidence intervalDiabetesDM, diabetes mellitusGAS5GAS5, growth-arrest specific transcript 5lncRNAlncRNA, long noncoding RNANMD, nonsense mediated decayROC, receiver operating characteristicsSerumVeterans

Identifiers

PMID26675493
PMCPMC4661729
OpenAlexW1480785638

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.