Evidence map›Paper›PMID 33973091›Full record

ArticleBiochemical genetics2021

The Relationship Between Menopause and Metabolic Syndrome: Experimental and Bioinformatics Analysis.

Abir Jaballah, Ismael Soltani, Wael Bahia, Azza Dandana, Yosra Hasni, Abdelhedi Miled, Salima Ferchichi

Abstract read
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In one paragraph

Article in Biochemical genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Menopause and metabolic syndrome: anthropometric, lipid, and dietary profiles.Revista da Associacao Medica Brasileira (1992) · 2024
    Article
  10. Article
  11. Review
  12. Article
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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 2 institutions in 1 country.

Abir JaballahResearch Unit of Clinical and Molecular Biology (UR17ES29), Department of Biochemistry, Faculty of Pharmacy, University of Monastir, 5000, Monastir, Tunisia. abir.jaballah@hotmail.fr.ORCID http://orcid.org/0000-0002-4316-8909
Ismael SoltaniResearch Unit of Clinical and Molecular Biology (UR17ES29), Department of Biochemistry, Faculty of Pharmacy, University of Monastir, 5000, Monastir, Tunisia.
Wael BahiaResearch Unit of Clinical and Molecular Biology (UR17ES29), Department of Biochemistry, Faculty of Pharmacy, University of Monastir, 5000, Monastir, Tunisia.
Azza DandanaResearch Unit of Clinical and Molecular Biology (UR17ES29), Department of Biochemistry, Faculty of Pharmacy, University of Monastir, 5000, Monastir, Tunisia.
Yosra HasniDept. Endocrinology, Farhat Hached University Hospital, Sousse, Tunisia.
Abdelhedi MiledResearch Unit of Clinical and Molecular Biology (UR17ES29), Department of Biochemistry, Faculty of Pharmacy, University of Monastir, 5000, Monastir, Tunisia.
Salima FerchichiResearch Unit of Clinical and Molecular Biology (UR17ES29), Department of Biochemistry, Faculty of Pharmacy, University of Monastir, 5000, Monastir, Tunisia.
University of Monastir · TNHôpital Farhat Hached · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Menopausal hormonal changes have been associated with the emergence of the metabolic syndrome (MetS) and its consequences such as type 2 diabetes (T2D) and cardiovascular diseases (CVD). The common gene signature and the associated signaling pathways of MetS, T2D, CVD and menopause status have not been widely studied. We analyzed a total of 314 women aged between 35 and 75 years. The sample was divided into two groups: Group I, including women in the premenopausal period and Group II, comprising women in the post-menopausal period. The presence of MetS and its components were evaluated, as well as occurrence of T2D and CVD in both groups. We also exploited the translational bioinformatics approach to choose the common gene signatures for MetS, T2D, CVD and the menopause status. The frequency of the MetS was significantly higher in postmenopausal women than in premenopausal ones (67.1 vs. 27.2%, p < 0.001). Gene mining analysis revealed that a total of 47 genes were commonly associated with MetS, T2D, CVD and the menopausal changes. The gene enrichment analysis showed that these genes were markedly enriched in biological processes, including positive regulation of binding, positive regulation of leukocyte cell-cell adhesion, regulation of lipid localization. Furthermore, P53 signaling pathway, prolactin signaling pathway, parathyroid hormone synthesis, secretion and action were the top enriched pathways. Additionally, network analysis revealed TGFB1, SPP1, MMP2, MMP9, CCL2, IGF1, EGFR, ICAM1, TNF and IL6 as important hub genes with significant interacting partners. These hub genes identified in our study may play key role in menopausal changes and influence the risks of MetS, T2D and CVD.

Indexed as

Diabetes Mellitus, Type 2Metabolic SyndromeAdultAgedComputational BiologyFemaleHumansMenopauseMiddle AgedPostmenopauseRisk FactorsBioinformaticsCVDMenopauseMetST2D

Identifiers

PMID33973091
OpenAlexW3161849076

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.