Evidence map›Paper›PMID 38281964›Full record

ArticleJournal of ovarian research2024

Exploring the association of ESR1 and ESR2 gene SNPs with polycystic ovary syndrome in human females: a comprehensive association study.

Fatima Muccee, Naeem Mahmood Ashraf, Suhail Razak, Tayyaba Afsar, Nadia Hussain, Fohad Mabood Husain, Huma Shafique

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
8.1field-weighted citation impact, top 2% 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, 15 citations in OpenAlex.

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  11. Global hotspots and trends in Acanthosis nigricans research: A bibliometric and visualized analysis.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
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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

7 authors at 4 institutions in 4 countries.

Fatima MucceeSchool of Biochemistry and Biotechnology, University of Punjab, Lahore, 52254, Pakistan. fatima.sbb@pu.edu.pk.
Naeem Mahmood AshrafSchool of Biochemistry and Biotechnology, University of Punjab, Lahore, 52254, Pakistan.
Suhail RazakDepartment of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, 11451, Saudi Arabia. smarazi@ksu.edu.sa.
Tayyaba AfsarDepartment of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, 11451, Saudi Arabia.
Nadia HussainDepartment of Pharmaceutical Sciences, College of Pharmacy, Al Ain University, Al Ain Campus, 64141, Al Ain, United Arab Emirates.
Fohad Mabood HusainDepartment of Food Science and Nutrition, College of Food and Agriculture Sciences, King Saud University, Riyadh, 11451, Saudi Arabia.
Huma ShafiqueInstitute of Cellular Medicine, Newcastle University Medical School, Newcastle University Newcastle Upon Tyne, Newcastle upon Tyne, UK.
King Saud University · SAUniversity of the Punjab · PKAbu Dhabi University · AENewcastle University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolycystic Ovary Syndrome (PCOS) affects a significant proportion of human females worldwide and is characterized by hormonal, metabolic, and reproductive dysfunctions, including infertility, irregular menstrual cycles, acanthosis nigricans, and hirsutism. Mutations in the estrogen receptor genes ESR1 and ESR2, involved in normal follicular development and ovulation, can contribute to development of the PCOS. The present study focuses on investigating the potential correlation between single nucleotide polymorphisms (SNPs) of ESR1 and ESR2 genes and the incidence of this syndrome.

methodsFor this study, SNPs in ESR1 and ESR2 genes were retrieved from the ENSEMBL database and analyzed for their effect on mutated proteins using different bioinformatics tools including SIFT, PolyPhen, CADD, REVEL, MetaLR, I-Mutant, CELLO2GO, ProtParam, SOPMA, SWISS-MODEL and HDDOCK.

resultsAll the SNPs documented in the present study were deleterious. All the SNPs except rs1583384537, rs1450198518, and rs78255744 decreased protein stability. Two variants rs1463893698 and rs766843910 in the ESR2 gene altered the localization of mutated proteins i.e. in addition to the nucleus, proteins were also found in mitochondria and extracellular, respectively. SNPs rs104893956 in ESR1 and rs140630557, rs140630557, rs1596423459, rs766843910, rs1596405923, rs762454979 and rs1384121511 in ESR2 gene significantly changed the secondary structure of proteins (2D). SNPs that markedly changed 3D configuration included rs1554259481, rs188957694 and rs755667747 in ESR1 gene and rs1463893698, rs140630557, rs1596423459, rs766843910, rs1596405923, rs762454979 and rs1384121511 in ESR2 gene. Variants rs1467954450 (ESR1) and rs140630557 (ESR2) were identified to reduce the binding tendency of ESRα and β receptors with estradiol as reflected by the docking scores i.e. -164.97 and -173.23, respectively.

conclusionDue to the significant impact on the encoded proteins, these variants might be proposed as biomarkers to predict the likelihood of developing PCOS in the future and for diagnostic purposes.

Indexed as

Estrogen Receptor alphaEstrogen Receptor betaPolycystic Ovary SyndromePolymorphism, Single NucleotideEstradiolFemaleHumansESR1 protein, humanESR2 protein, humanEstradiolEstrogen Receptor alphaEstrogen Receptor betaCoding sequencePolycystic ovary syndromeSecondary structureSingle nucleotide polymorphismsSub-cellular localization

Identifiers

PMID38281964
PMCPMC10823698
OpenAlexW4391312920

What OpenQuestion holds

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LicenceCC BY
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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.