Evidence map›Paper›PMID 33101204›Full record

ArticleFrontiers in endocrinology2020

Increased MicroRNA Levels in Women With Polycystic Ovarian Syndrome but Without Insulin Resistance: A Pilot Prospective Study.

Alexandra E Butler, Vimal Ramachandran, Thomas Keith Cunningham, Rhiannon David, Nigel J Gooderham, Manasi Benurwar, Soha R Dargham, Shahina Hayat, Thozhukat Sathyapalan, S Hani Najafi-Shoushtari and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Article
  5. Article
  6. Glycemia-Induced miRNA Changes: A Review.International journal of molecular sciences · 2023
    Review
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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 5 institutions in 4 countries.

Alexandra E ButlerDiabetes Research Center (DRC), Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
Vimal RamachandranDivision of Research, Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar.
Thomas Keith CunninghamAcademic Diabetes, Endocrinology and Metabolism, Hull York Medical School, University of Hull, Heslington, United Kingdom.
Rhiannon DavidDepartment of Surgery & Cancer, Faculty of Medicine, Imperial College, London, United Kingdom.
Nigel J GooderhamDepartment of Surgery & Cancer, Faculty of Medicine, Imperial College, London, United Kingdom.
Manasi BenurwarDivision of Research, Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar.
Soha R DarghamDivision of Research, Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar.
Shahina HayatDivision of Research, Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar.
Thozhukat SathyapalanAcademic Diabetes, Endocrinology and Metabolism, Hull York Medical School, University of Hull, Heslington, United Kingdom.
S Hani Najafi-ShoushtariDivision of Research, Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar.
Stephen L AtkinPostgraduate Studies and Research, Royal College of Surgeons Ireland, Al Muharraq, Bahrain.
Weill Cornell Medical College in Qatar · QAHull York Medical School · GBImperial College London · GBQatar Foundation · QARoyal College of Surgeons in Ireland - Bahrain · BH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Small noncoding microRNA (miRNA) have regulatory functions in polycystic ovary syndrome (PCOS) that differ to those in women without PCOS. However, little is known about miRNA expression in women with PCOS who are not insulin resistant (IR). Methods: Circulating miRNAs were measured using quantitative polymerase chain reaction (qPCR) in 24 non-obese BMI and age matched women with PCOS and 24 control women. A miRNA data set was used to determine miRNA levels. Results: Women with PCOS showed a higher free androgen index (FAI) and anti-mullerian hormone (AMH) but IR did not differ. Four miRNAs (miR-1260a, miR-18b-5p, miR-424-5p, and miR let-7b-3p) differed between control and PCOS women that passed the false discovery rate (FDR) out of a total of 177 circulating miRNAs that were detected. MiRNA let-7b-3p correlated with AMH in PCOS (p < 0.05). When the groups were combined, miR-1260a correlated with FAI and let-7b-3p correlated with body mass index (BMI) (p < 0.05). There was no correlation to androgen levels. Ingenuity pathway analysis showed that nine of the top 10 miRNAs reported were associated with inflammatory pathways. Conclusion: When IR did not differ between PCOS and control women, only four miRNA differed significantly suggesting that IR may be a driver for many of the miRNA changes reported. Let-7b-3p was related to AMH in PCOS, and to BMI as a group, whilst miR-1260a correlated with FAI. Androgen levels, however, had no effect upon circulating miRNA profiles. The expressed miRNAs were associated with the inflammatory pathway involving TNF and IL6.

Indexed as

Insulin ResistanceAdultAnti-Mullerian HormoneBiomarkersCirculating MicroRNACohort StudiesFemaleGene Regulatory NetworksHumansPilot ProjectsPolycystic Ovary SyndromeProspective StudiesYoung AdultAnti-Mullerian HormoneBiomarkersCirculating MicroRNAanti-Mullerian hormonefemaleinsulin sensitivitymicroRNAnon-obesepolycystic ovary syndrome

Identifiers

PMID33101204
PMCPMC7556216
OpenAlexW3090369306

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.