Evidence mapPaperPMID 36619413Full record

ArticleHeliyon2022

Systems biology and

Md Arju Hossain, Sheikh Abdullah Al Ashik, Moshiur Rahman Mahin, Md Al Amin, Md Habibur Rahman, Md Arif Khan, Abdullah Al Emran

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Unraveling Obesity: A Five-Year Integrative Review of Transcriptomic Data.International journal of molecular sciences · 2025
    Review
  2. Article
  3. Article
  4. A novel link betweenBiomedical reports · 2025
    Article
  5. PCOS - the many faces of a disorder in women and men.Journal of endocrinological investigation · 2025
    Review
  6. 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

7 authors at 3 institutions in 1 country.

Md Arju HossainDepartment of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, 1092, Bangladesh.
Sheikh Abdullah Al AshikDepartment of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, 1092, Bangladesh.
Moshiur Rahman MahinDepartment of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, 1092, Bangladesh.
Md Al AminDepartment of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, 1092, Bangladesh.
Md Habibur RahmanDepartment of Computer Science and Engineering, Islamic University, Kushtia, 7003, Bangladesh.
Md Arif KhanDepartment of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, 1092, Bangladesh.
Abdullah Al EmranDepartment of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, 1092, Bangladesh.
Mawlana Bhashani Science and Technology University · BDIslamic University · BDUniversity of Development Alternative · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polycystic ovarian syndrome (PCOS) is a common condition of hyperandrogenism, chronic ovulation, and polycystic ovaries in females during the reproduction and maturation of the ovum. Although PCOS has been associated with metabolic disorders, including type 2 diabetes (T2D), obesity (OBE), and cardiovascular disease (CVD), Causal connection and molecular features are still unknown. Purpose: Therefore, we investigated the shared common differentially expressed genes (DEGs), pathways, and networks of associated proteins in PCOS and metabolic diseases with therapeutic intervention. Methods: We have used a bioinformatics pipeline to analyze transcriptome data for the polycystic ovarian syndrome (PCOS), type 2 diabetes (T2D), obesity (OBE), and cardiovascular diseases (CVD) in female patients. Then we employed gene-disease association network, gene ontology (GO) and signaling pathway analysis, selection of hub genes from protein-protein interaction (PPI) network, molecular docking, and gold benchmarking approach to screen potential hub proteins. Result: We discovered 2225 DEGs in PCOS patients relative to healthy controls and 34, 91, and 205 significant DEGs with T2D, Obesity, and CVD, respectively. Gene Ontology analysis revealed several significant shared and metabolic pathways from signaling pathway analysis. Furthermore, we identified ten potential hub proteins from PPI analysis that may serve as a therapeutic intervention in the future. Finally, we targeted one significant hub protein, IGF2R (PDB ID: 2V5O), out of ten hub proteins based on the Maximal clique centrality (MCC) algorithm and literature review for molecular docking study. Enzastaurin (-12.5), Kaempferol (-9.1), Quercetin (-9.0), and Coumestrol (-8.9) kcal/mol showed higher binding affinity in the molecular docking approach than 19 drug compounds. We have also found that the selected four compounds displayed favorable ADMET properties compared to the native ligand. Conclusion: Our

Indexed as

ADMETCardiovascular diseaseMetabolic comorbiditiesObesityPhytochemicalsPolycystic ovary syndromeType 2 diabetes

Identifiers

PMID36619413
PMCPMC9816984
OpenAlexW4313530578

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.