Evidence map›Paper›PMID 28539732›Full record

ArticleBioinformation2017

Influence of PCOS in Obese vs. Non-Obese women from Mesenchymal Progenitors Stem Cells and Other Endometrial Cells: An in silico biomarker discovery.

Ashvini Desai, Inamul Hasan Madar, Amjad Hussain Asangani, Hussain Al Ssadh, Iftikhar Aslam Tayubi

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. 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

5 authors at 3 institutions in 2 countries.

Ashvini DesaiDepartment of Bioinformatics, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Inamul Hasan Madar *Department of Biotechnology & Genetic Engineering and Department of Biochemistry, Bharathidasan University, Tiruchirappalli, 620024, Tamil Nadu, India.
Amjad Hussain AsanganiDepartment of Biochemistry, Islamiah College, Vaniyambadi 635 752, Vellore Dist, Tamil Nadu India.
Hussain Al SsadhSchool of Biological sciences, University of Essex, Colchester, CO43SQ, United Kingdom.
Iftikhar Aslam TayubiFaculty of Computing and Information Technology, King Abdul-Aziz University, Rabigh-21911, Saudi Arabia.
Bharathidasan University · INUniversity of Essex · GBVellore Institute of Technology University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is endocrine system disease which affect women ages 18 to 44 where the women's hormones are imbalance. Recently it has been reported to occur in early age. Alteration of normal gene expression in PCOS has shown negative effects on long-term health issues. PCOS has been the responsible factor for the infertility in women of reproductive age group. Early diagnosis and treatment can improve the women's health suffering from PCOS. Earlier Studies shows correlation of PCOS upon insulin resistance with significant outcome, Current study shows the linkage between PCOS with obesity and non-obese patients. Gene expression datasets has been downloaded from GEO (control and PCOS affected patients). Normalization of the datasets were performed using R based on RMA and differentially expressed gene (DEG) were selected on the basis of p-value 0.05 followed by functional annotation of selected gene using Enrich R and DAVID. The DEGs were significantly related to PCOS with obesity and other risk factors involved in disease. The Gene Enrichment Analysis suggests alteration of genes and associated pathway in case of obesity. Current study provides a productive groundwork for specific biomarkers identification for the accurate diagnosis and efficient target for the treatment of PCOS.

Indexed as

Differential expressed geneObesityPolycystic ovary syndrome (PCOS)

Identifiers

PMID28539732
PMCPMC5429969
OpenAlexW2621398027

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.