Evidence map›Paper›PMID 38316651›Full record

ReviewArchives of gynecology and obstetrics2024

miRNA expression in PCOS: unveiling a paradigm shift toward biomarker discovery.

Gowhar Rashid, Nihad Ashraf Khan, Deena Elsori, Rana A Youness, Homa Hassan, Deepali Siwan, Namrata Seth, Mohammad Azhar Kamal, Saliha Rizvi, Asaad Ma Babker and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of gynecology and obstetrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. MicroRNAs as Biomarkers for Metabolic Disorders in Polycystic Ovary Syndrome (PCOS): A Review.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Review
  10. Review
  11. Article
  12. Chitosan/Alginate-LoadedReproductive medicine and biology
    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

11 authors at 8 institutions in 4 countries.

Gowhar Rashid *Department of Medical Lab Technology, Amity Medical School, Amity University Haryana, Gurugram, India. gowhar9@gmail.com.ORCID http://orcid.org/0000-0002-6321-3877
Nihad Ashraf Khan *Department of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia, Delhi, 110025, India.
Deena Elsori *Rabdan Academy, Abu Dhabi, UAE.
Rana A YounessBiology and Biochemistry Department, Faculty of Biotechnology, German International University, Cairo, Egypt.
Homa Hassan *Department of Biotechnology, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi, India.
Deepali Siwan *Department of Pharmacology, Delhi Pharmaceutical Sciences and Research University, Delhi, 110017, India.
Namrata SethDepartment of Biotechnology, Indian Institute of Science and Technology, Bhopal, 462066, India.
Mohammad Azhar KamalDepartment of Pharmaceutics, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia.
Saliha RizviDepartment of Biotechnology, Era University, Lucknow, India.
Asaad Ma BabkerDepartment of Medical Laboratory Sciences, Gulf Medical University, Ajman, United Arab Emirates.
Wael HafezThe Medical Research Division, Department of Internal Medicine, the National Research Centre, Cairo, Egypt.
Delhi Pharmaceutical Science and Research University · INGerman University in Cairo · EGGulf Medical University · AEIndian Institute of Science Education and Research, Bhopal · INJamia Hamdard · INJamia Millia Islamia · INNational Research Centre · EGPrince Sattam Bin Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is a complex endocrine disorder that affects a substantial percentage of women, estimated at around 9-21%. This condition can lead to anovulatory infertility in women of childbearing age and is often accompanied by various metabolic disturbances, including hyperandrogenism, insulin resistance, obesity, type-2 diabetes, and elevated cholesterol levels. The development of PCOS is influenced by a combination of epigenetic alterations, genetic mutations, and changes in the expression of non-coding RNAs, particularly microRNAs (miRNAs). MicroRNAs, commonly referred to as non-coding RNAs, are approximately 22 nucleotides in length and primarily function in post-transcriptional gene regulation, facilitating mRNA degradation and repressing translation. Their dynamic expression in different cells and tissues contributes to the regulation of various biological and cellular pathways. As a result, they have become pivotal biomarkers for various diseases, including PCOS, demonstrating intricate associations with diverse health conditions. The aberrant expression of miRNAs has been detected in the serum of women with PCOS, with overexpression and dysregulation of these miRNAs playing a central role in the atypical expression of endocrine hormones linked to PCOS. This review takes a comprehensive approach to explore the upregulation and downregulation of various miRNAs present in ovarian follicular cells, granulosa cells, and theca cells of women diagnosed with PCOS. Furthermore, it discusses the potential for a theragnostic approach using miRNAs to better understand and manage PCOS.

Indexed as

HyperandrogenismMicroRNAsPolycystic Ovary SyndromeBiomarkersFemaleHumansObesityBiomarkersMicroRNAsAndrogensBiomarkersEndocrine disorderFollicular cellsmiRNAPolycystic ovarian syndromeTheca cells

Identifiers

PMID38316651
OpenAlexW4391529236

What OpenQuestion holds

Textmetadata
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.