Literature DB >> 33973091

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

Abir Jaballah1, Ismael Soltani2, Wael Bahia2, Azza Dandana2, Yosra Hasni3, Abdelhedi Miled2,4, Salima Ferchichi2,4.   

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.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Bioinformatics; CVD; Menopause; MetS; T2D

Mesh:

Year:  2021        PMID: 33973091     DOI: 10.1007/s10528-021-10066-7

Source DB:  PubMed          Journal:  Biochem Genet        ISSN: 0006-2928            Impact factor:   1.890


  59 in total

Review 1.  The biological effects of interleukin 6.

Authors:  B E Barton
Journal:  Med Res Rev       Date:  1996-01       Impact factor: 12.944

Review 2.  Inflammation: a pivotal link between autoimmune diseases and atherosclerosis.

Authors:  Anna Abou-Raya; Suzan Abou-Raya
Journal:  Autoimmun Rev       Date:  2006-02-03       Impact factor: 9.754

3.  Serum heart type fatty acid binding protein levels in metabolic syndrome.

Authors:  Erdem Akbal; Mustafa Özbek; Fahri Güneş; Ömer Akyürek; Kemal Üreten; Tuncay Delibaşı
Journal:  Endocrine       Date:  2009-10-06       Impact factor: 3.633

4.  Requirement of the ATM/p53 tumor suppressor pathway for glucose homeostasis.

Authors:  Heather L Armata; Diane Golebiowski; Dae Young Jung; Hwi Jin Ko; Jason K Kim; Hayla K Sluss
Journal:  Mol Cell Biol       Date:  2010-10-18       Impact factor: 4.272

5.  NCBI GEO: archive for functional genomics data sets--update.

Authors:  Tanya Barrett; Stephen E Wilhite; Pierre Ledoux; Carlos Evangelista; Irene F Kim; Maxim Tomashevsky; Kimberly A Marshall; Katherine H Phillippy; Patti M Sherman; Michelle Holko; Andrey Yefanov; Hyeseung Lee; Naigong Zhang; Cynthia L Robertson; Nadezhda Serova; Sean Davis; Alexandra Soboleva
Journal:  Nucleic Acids Res       Date:  2012-11-27       Impact factor: 16.971

Review 6.  Metabolic regulation by p53 family members.

Authors:  Celia R Berkers; Oliver D K Maddocks; Eric C Cheung; Inbal Mor; Karen H Vousden
Journal:  Cell Metab       Date:  2013-08-15       Impact factor: 27.287

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Journal:  BMC Res Notes       Date:  2013-11-08

8.  ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks.

Authors:  Gabriela Bindea; Bernhard Mlecnik; Hubert Hackl; Pornpimol Charoentong; Marie Tosolini; Amos Kirilovsky; Wolf-Herman Fridman; Franck Pagès; Zlatko Trajanoski; Jérôme Galon
Journal:  Bioinformatics       Date:  2009-02-23       Impact factor: 6.937

9.  CluePedia Cytoscape plugin: pathway insights using integrated experimental and in silico data.

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10.  Menopause and metabolic syndrome in tunisian women.

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