Evidence map›Paper›PMID 35073575›Full record

ArticleDiabetes2022

Monocyte miRNAs Are Associated With Type 2 Diabetes.

Daniel C Parker, Ma Wan, Kurt Lohman, Li Hou, Anh Tram Nguyen, Jingzhong Ding, Alain Bertoni, Steve Shea, Gregory L Burke, David R Jacobs and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Transcriptomic Profile of LinBMC genomics · 2024
    Article
  9. Article
  10. Immunometabolism at the Heart of Cardiovascular Disease.JACC. Basic to translational science · 2023
    Review
  11. Article
  12. Article
  13. The Remnant Lipoprotein Hypothesis of Diabetes-Associated Cardiovascular Disease.Arteriosclerosis, thrombosis, and vascular biology · 2022
    Review
  14. 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

15 authors at 6 institutions in 1 country.

Daniel C ParkerDivision of Geriatrics, Department of Medicine, Duke University School of Medicine, Durham, NC.
Ma WanDivision of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC.
Kurt LohmanDivision of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC.
Li HouDivision of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC.
Anh Tram NguyenDivision of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC.
Jingzhong DingWake Forest University School of Medicine, Winston-Salem, NC.
Alain BertoniWake Forest University School of Medicine, Winston-Salem, NC.
Steve SheaColumbia University School of Medicine, New York, NY.
Gregory L BurkeWake Forest University School of Medicine, Winston-Salem, NC.
David R JacobsUniversity of Minnesota School of Public Health, Minneapolis, MN.
Wendy PostJohns Hopkins University School of Medicine, Baltimore, MD.
David CorcoranDuke Center for Genomic and Computational Biology, Duke University, Durham, NC.
Ina HoescheleDepartment of Statistics and Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA.
John S ParksWake Forest University School of Medicine, Winston-Salem, NC.
Yongmei LiuDivision of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC.ORCID 0000-0002-6562-1858
Duke University · USWake Forest University · USJohns Hopkins University · USNew York University · USUniversity of Minnesota · USVirginia Tech · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Task Area A Core Study Operations.Task Area A shall encompass annual follow-up of cohort members, clinical endpoints ascertainment, study coordination activities, maintenance of the database and biosp75N92020D00001 · NHLBI · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, ROBYN LEAGH · 2020 to 2025
$17.2M
A Longitudinal Epigenetic Study of AtherosclerosisR01HL135009 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LIU, YONGMEI · 2017 to 2020
$5.8M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00005 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL E · 2020 to 2025
$5.1M
TO EXERCISE OPTION PERIOD ONE (1) FOR TASK AREA A - MESA CORE OPERATIONS, FIELD CENTER.75N92020D00004 · NHLBI · NORTHWESTERN UNIVERSITY · PI SIEGEL, JONATHAN H · 2020 to 2025
$4.5M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00006 · NHLBI · UNIVERSITY OF MINNESOTA · PI PANKOW, JAMES S · 2020 to 2025
$4.4M
Cell-specific genomic features of Alzheimer's disease progressionRF1AG054474 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DING, JINGZHONG, LIU, YONGMEI · 2017 to 2019
$4.1M
The Role of Hepatocyte ABCA1 in Lipid Mobilization and TransportR01HL119962 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI PARKS, JOHN S · 2013 to 2022
$3.9M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL101250NHLBI NIH HHS R01 HL119962NHLBI NIH HHS R01 HL126477NHLBI NIH HHS R01 HL135009NIA NIH HHS RF1 AG054474NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK101921NIDDK NIH HHS R01 DK103531
6 · The paper itself

Abstract

miRNAs are small noncoding RNAs that may contribute to common diseases through epigenetic regulation of gene expression. Little is known regarding the role of miRNAs in type 2 diabetes (T2D). We performed miRNA sequencing and transcriptomic profiling of peripheral monocytes from the longitudinal Multi-Ethnic Study of Atherosclerosis (MESA) (N = 1,154). We examined associations between miRNAs and prevalent impaired fasting glucose and T2D and evaluated the T2D-associated miRNA effect on incident T2D. Of 774 detected miRNAs, 6 (miR-22-3p, miR-33a-5p, miR-181c-5p, miR-92b-3p, miR-222-3p, and miR-944) were associated with prevalent T2D. For five of the six miRNAs (all but miR-222-3p), our findings suggest a dose-response relationship with impaired fasting glucose and T2D. Two of the six miRNAs were associated with incident T2D (miR-92b-3p: hazard ratio [HR] 1.64, P = 1.30E-03; miR-222-3p: HR 1.97, P = 9.10E-03) in the highest versus lowest tertile of expression. Most of the T2D-associated miRNAs were also associated with HDL cholesterol concentrations. The genes targeted by these miRNAs belong to key nodes of a cholesterol metabolism transcriptomic network. Higher levels of miRNA expression expected to increase intracellular cholesterol accumulation in monocytes are linked to an increase in T2D risk.

Indexed as

Diabetes Mellitus, Type 2MicroRNAsEpigenesis, GeneticGene Expression ProfilingGlucoseHumansMonocytesGlucoseMicroRNAsMIRN944 microRNA, human

Identifiers

PMID35073575
PMCPMC8965663
OpenAlexW4207076294

What OpenQuestion holds

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Registered trials

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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.