Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Dec;59(6):1558-1581.
doi: 10.1007/s10528-021-10066-7. Epub 2021 May 10.

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

Abir Jaballah  1 , Ismael Soltani  2 , Wael Bahia  2 , Azza Dandana  2 , Yosra Hasni  3 , Abdelhedi Miled  2   4 , Salima Ferchichi  2   4
Affiliations

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

Abir Jaballah et al. Biochem Genet. 2021 Dec.

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.

Keywords: Bioinformatics; CVD; Menopause; MetS; T2D.

PubMed Disclaimer

References

    1. Abou-Raya A, Abou-Raya S (2006) Inflammation: a pivotal link between autoimmune diseases and atherosclerosis. Autoimmun Rev 5:331–337. https://doi.org/10.1016/j.autrev.2005.12.006 - DOI - PubMed
    1. Akbal E, Ozbek M, Gunes F, Akyurek O, Ureten K, Delibasi T (2009) Serum heart type fatty acid binding protein levels in metabolic syndrome. Endocrine 36:433–437. https://doi.org/10.1007/s12020-009-9243-6 - DOI - PubMed
    1. Armata HL, Golebiowski D, Jung DY, Ko HJ, Kim JK, Sluss HK (2010) Requirement of the ATM/p53 tumor suppressor pathway for glucose homeostasis. Mol Cell Biol 30:5787–5794. https://doi.org/10.1128/MCB.00347-10 - DOI - PubMed - PMC
    1. Arthur FK, Adu-Frimpong M, Osei-Yeboah J, Mensah FO, Owusu L (2013) The prevalence of metabolic syndrome and its predominant components among pre-and postmenopausal Ghanaian women. BMC Res Notes 6:446. https://doi.org/10.1186/1756-0500-6-446 - DOI - PubMed
    1. Bader GD, Hogue CW (2003) An automated method for finding molecular complexes in large protein interaction networks. BMC Bioinform 4:2. https://doi.org/10.1186/1471-2105-4-2 - DOI

LinkOut - more resources