Evidence map›Paper›PMID 34172798›Full record

ArticleScientific reports2021

Characterization of micro-RNA in women with different ovarian reserve.

Masood Abu-Halima, Lea Simone Becker, Basim M Ayesh, Simona Lucia Baus, Amer Hamza, Ulrike Fischer, Mohamad Hammadeh, Andreas Keller, Eckart Meese

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. MicroRNAs as Biomarkers and Therapeutic Targets in Female Infertility.International journal of molecular sciences · 2024
    Review
  5. Review
  6. Effect of moxibustion on expression profile of miRNAs in Tripterygium glycoside-induced decreased ovarian reserve.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2024
    Article
  7. Article
  8. Review
  9. MicroRNAs in POI, DOR and POR.Archives of gynecology and obstetrics · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

9 authors.

Masood Abu-HalimaInstitute of Human Genetics, Saarland University, 66421, Homburg, Saar, Germany. masood@daad-alumni.de.
Lea Simone BeckerInstitute of Human Genetics, Saarland University, 66421, Homburg, Saar, Germany.
Basim M AyeshDepartment of Laboratory Medical Sciences, Alaqsa University, Gaza, Palestine.
Simona Lucia BausDepartment of Obstetrics and Gynecology, Saarland University, 66421, Homburg, Saar, Germany.
Amer HamzaDepartment of Obstetrics and Gynecology, Saarland University, 66421, Homburg, Saar, Germany.
Ulrike FischerInstitute of Human Genetics, Saarland University, 66421, Homburg, Saar, Germany.
Mohamad HammadehDepartment of Obstetrics and Gynecology, Saarland University, 66421, Homburg, Saar, Germany.
Andreas KellerChair for Clinical Bioinformatics, Saarland University, 66123, Saarbruecken, Germany.
Eckart MeeseInstitute of Human Genetics, Saarland University, 66421, Homburg, Saar, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Women undergoing infertility treatment are routinely subjected to one or more tests of ovarian reserve. Therefore, an adequate assessment of the ovarian reserve is necessary for the treatment. In this study, we aimed to characterize the potential role of microRNAs (miRNAs) as biomarkers for women with different ovarian reserves. A total of 159 women were recruited in the study and classified according to their anti-Müllerian hormone (AMH) level into three groups: (1) low ovarian reserve (LAMH, n = 39), (2) normal ovarian reserve (NAMH, n = 80), and (3) high ovarian reserve (HAMH, n = 40). SurePrint Human miRNA array screening and reverse transcription-quantitative PCR (RT-qPCR) were respectively employed to screen and validate the miRNA abundance level in the three tested groups. Compared with NAMH, the abundance level of 34 and 98 miRNAs was found to be significantly altered in LAMH and HAMH, respectively. The abundance level of miRNAs was further validated by RT-qPCR in both, the screening samples as well as in an independent set of validation samples. The abundance levels of the validated miRNAs were significantly correlated with the AMH level. The best AUC value for the prediction of the increase and decrease in the AMH level was obtained for the miR-100-5p and miR-21-5p, respectively. The level of miRNAs abundance correlates with the level of AMH, which may serve as a tool for identifying women with a different ovarian reserve and may help to lay the ground for the development of novel diagnostic approaches.

Indexed as

AdultAge FactorsAnti-Mullerian HormoneBiomarkersFemaleFertilization in VitroHumansInfertility, FemaleMicroRNAsOvarian FollicleOvarian ReserveYoung AdultAnti-Mullerian HormoneBiomarkersMicroRNAs

Identifiers

PMID34172798
PMCPMC8233349

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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.