Evidence map›Paper›PMID 30598522›Full record

Trial reportExperimental & molecular medicine2018

A plasma circulating miRNAs profile predicts type 2 diabetes mellitus and prediabetes: from the CORDIOPREV study.

Rosa Jiménez-Lucena, Antonio Camargo, Juan Francisco Alcalá-Diaz, Cristina Romero-Baldonado, Raúl Miguel Luque, Ben van Ommen, Javier Delgado-Lista, Jose María Ordovás, Pablo Pérez-Martínez, Oriol Alberto Rangel-Zúñiga and 1 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Experimental & molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
3.7field-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

76 citing papers in PubMed, 1 synthesis or guideline pooled it, 142 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. The Role of microRNA-22 in Metabolism.International journal of molecular sciences · 2025
    Review
  13. Characterizing Circulating microRNA Signatures of Type 2 Diabetes Subtypes.International journal of molecular sciences · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

16 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

11 authors at 6 institutions in 3 countries.

Rosa Jiménez-LucenaLipids and Atherosclerosis Unit, Reina Sofıa University Hospital, Córdoba, Spain.
Antonio CamargoLipids and Atherosclerosis Unit, Reina Sofıa University Hospital, Córdoba, Spain.
Juan Francisco Alcalá-DiazLipids and Atherosclerosis Unit, Reina Sofıa University Hospital, Córdoba, Spain.
Cristina Romero-BaldonadoBiochemical Laboratory, Reina Sofia University Hospital, Córdoba, Spain.
Raúl Miguel LuqueIMIBIC/Reina Sofía University Hospital, University of Córdoba and CIBER Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Ben van OmmenNetherlands Institute for Applied Science (TNO), Research Group Microbiology and Systems Biology, Zeist, The Netherlands.
Javier Delgado-ListaLipids and Atherosclerosis Unit, Reina Sofıa University Hospital, Córdoba, Spain.
Jose María OrdovásNutrition and Genomics Laboratory, J.M, US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.
Pablo Pérez-MartínezLipids and Atherosclerosis Unit, Reina Sofıa University Hospital, Córdoba, Spain.
Oriol Alberto Rangel-ZúñigaLipids and Atherosclerosis Unit, Reina Sofıa University Hospital, Córdoba, Spain.
Jose López-MirandaLipids and Atherosclerosis Unit, Reina Sofıa University Hospital, Córdoba, Spain. md1lomij@uco.es.
University of Córdoba · ESHospital Universitario Reina Sofía · ESInstituto de Salud Carlos III · ESInstituto Maimónides de Investigación Biomédica de Córdoba · ESMadrid Institute for Advanced Studies · ESNetherlands Organisation for Applied Scientific Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to explore whether changes in circulating levels of miRNAs according to type 2 diabetes mellitus (T2DM) or prediabetes status could be used as biomarkers to evaluate the risk of developing the disease. The study included 462 patients without T2DM at baseline from the CORDIOPREV trial. After a median follow-up of 60 months, 107 of the subjects developed T2DM, 30 developed prediabetes, 223 maintained prediabetes and 78 remained disease-free. Plasma levels of four miRNAs related to insulin signaling and beta-cell function were measured by RT-PCR. We analyzed the relationship between miRNAs levels and insulin signaling and release indexes at baseline and after the follow-up period. The risk of developing disease based on tertiles (T1-T2-T3) of baseline miRNAs levels was evaluated by COX analysis. Thus, we observed higher miR-150 and miR-30a-5p and lower miR-15a and miR-375 baseline levels in subjects with T2DM than in disease-free subjects. Patients with high miR-150 and miR-30a-5p baseline levels had lower disposition index (p = 0.047 and p = 0.007, respectively). The higher risk of disease was associated with high levels (T3) of miR-150 and miR-30a-5p (HR

Indexed as

AdultAgedBiomarkersCardiovascular DiseasesCell-Free Nucleic AcidsDiabetes Mellitus, Type 2Diet, Fat-RestrictedDiet, MediterraneanFemaleFollow-Up StudiesHumansMaleMicroRNAsMiddle AgedPrediabetic StatePrognosisBiomarkersCell-Free Nucleic AcidsMicroRNAs

Identifiers

PMID30598522
PMCPMC6312530
OpenAlexW2906330589

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.