Sumita Dutta Gupta , Bishal Dhar , Sharbadeb Kundu , Nabarun Das , Arun Paul Choudhury , Monica Deb , Abhijit Das , Amrita Das , Nayanika Das , Biswadeep Choudhury , Alex C. Varghese , Kushal Kumar Kar , Yashmin Choudhury , Sankar Kumar Ghosh
{"title":"印度东北部人群中GDF9和BMP15基因表达水平与女性不孕症预后的临床病理因素的关系","authors":"Sumita Dutta Gupta , Bishal Dhar , Sharbadeb Kundu , Nabarun Das , Arun Paul Choudhury , Monica Deb , Abhijit Das , Amrita Das , Nayanika Das , Biswadeep Choudhury , Alex C. Varghese , Kushal Kumar Kar , Yashmin Choudhury , Sankar Kumar Ghosh","doi":"10.1016/j.mgene.2021.100964","DOIUrl":null,"url":null,"abstract":"<div><p>Female Infertility is a serious health issue, and genetic factors plays crucial role in female infertility. To explore the molecular mechanism involved in female infertility, we had investigated demographic, clinicopathological factors and gene expression profile of <em>BMP15</em> and <em>GDF9</em> in primary and secondary female infertility patients. Present study comprised of 469 primary and 210 secondary infertile females, and 419 fertile females (controls). The expression level of <em>GDF9</em> and <em>BMP15</em> genes was studied using quantitative real-time PCR and multifactor dimensionality reduction tool (MDR) was used to detect high-risk interaction. Finding revealed that there was down-regulation of the <em>BMP15</em> and <em>GDF9</em> gene in both primary and secondary infertile women in comparison to fertile women. A significant difference in the expression level of <em>GDF9</em> gene among the study subjects for the various levels of TSH and RBS (<em>p</em> < 0.01) indicating that the level of gene expression was influenced by few hormonal factors. The best risk factor model predicted for female infertility was the five-factors model of TSH, LH, LH/FSH ratio, Hb, MCV with 100% CVC and maximum TBA = 0.921 and <em>p</em> < 0.01. Thus, down-regulation of <em>GDF9</em> and <em>BMP15</em> gene and interaction of clinicopathological factors significantly persuade female infertility, and these findings might be useful as possible biomarker for the estimation of primary and secondary female infertility.</p></div>","PeriodicalId":38190,"journal":{"name":"Meta Gene","volume":"30 ","pages":"Article 100964"},"PeriodicalIF":0.8000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.mgene.2021.100964","citationCount":"0","resultStr":"{\"title\":\"Association between gene expression levels of GDF9 and BMP15 and clinicopathological factors in the prognosis of female infertility in northeast Indian populations\",\"authors\":\"Sumita Dutta Gupta , Bishal Dhar , Sharbadeb Kundu , Nabarun Das , Arun Paul Choudhury , Monica Deb , Abhijit Das , Amrita Das , Nayanika Das , Biswadeep Choudhury , Alex C. Varghese , Kushal Kumar Kar , Yashmin Choudhury , Sankar Kumar Ghosh\",\"doi\":\"10.1016/j.mgene.2021.100964\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Female Infertility is a serious health issue, and genetic factors plays crucial role in female infertility. To explore the molecular mechanism involved in female infertility, we had investigated demographic, clinicopathological factors and gene expression profile of <em>BMP15</em> and <em>GDF9</em> in primary and secondary female infertility patients. Present study comprised of 469 primary and 210 secondary infertile females, and 419 fertile females (controls). The expression level of <em>GDF9</em> and <em>BMP15</em> genes was studied using quantitative real-time PCR and multifactor dimensionality reduction tool (MDR) was used to detect high-risk interaction. Finding revealed that there was down-regulation of the <em>BMP15</em> and <em>GDF9</em> gene in both primary and secondary infertile women in comparison to fertile women. A significant difference in the expression level of <em>GDF9</em> gene among the study subjects for the various levels of TSH and RBS (<em>p</em> < 0.01) indicating that the level of gene expression was influenced by few hormonal factors. The best risk factor model predicted for female infertility was the five-factors model of TSH, LH, LH/FSH ratio, Hb, MCV with 100% CVC and maximum TBA = 0.921 and <em>p</em> < 0.01. 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Association between gene expression levels of GDF9 and BMP15 and clinicopathological factors in the prognosis of female infertility in northeast Indian populations
Female Infertility is a serious health issue, and genetic factors plays crucial role in female infertility. To explore the molecular mechanism involved in female infertility, we had investigated demographic, clinicopathological factors and gene expression profile of BMP15 and GDF9 in primary and secondary female infertility patients. Present study comprised of 469 primary and 210 secondary infertile females, and 419 fertile females (controls). The expression level of GDF9 and BMP15 genes was studied using quantitative real-time PCR and multifactor dimensionality reduction tool (MDR) was used to detect high-risk interaction. Finding revealed that there was down-regulation of the BMP15 and GDF9 gene in both primary and secondary infertile women in comparison to fertile women. A significant difference in the expression level of GDF9 gene among the study subjects for the various levels of TSH and RBS (p < 0.01) indicating that the level of gene expression was influenced by few hormonal factors. The best risk factor model predicted for female infertility was the five-factors model of TSH, LH, LH/FSH ratio, Hb, MCV with 100% CVC and maximum TBA = 0.921 and p < 0.01. Thus, down-regulation of GDF9 and BMP15 gene and interaction of clinicopathological factors significantly persuade female infertility, and these findings might be useful as possible biomarker for the estimation of primary and secondary female infertility.
Meta GeneBiochemistry, Genetics and Molecular Biology-Genetics
CiteScore
1.10
自引率
0.00%
发文量
20
期刊介绍:
Meta Gene publishes meta-analysis, polymorphism and population study papers that are relevant to both human and non-human species. Examples include but are not limited to: (Relevant to human specimens): 1Meta-Analysis Papers - statistical reviews of the published literature of human genetic variation (typically linked to medical conditionals and/or congenital diseases) 2Genome Wide Association Studies (GWAS) - examination of large patient cohorts to identify common genetic factors that influence health and disease 3Human Genetics Papers - original studies describing new data on genetic variation in smaller patient populations 4Genetic Case Reports - short communications describing novel and in formative genetic mutations or chromosomal aberrations (e.g., probands) in very small demographic groups (e.g., family or unique ethnic group). (Relevant to non-human specimens): 1Small Genome Papers - Analysis of genetic variation in organelle genomes (e.g., mitochondrial DNA) 2Microbiota Papers - Analysis of microbiological variation through analysis of DNA sequencing in different biological environments 3Ecological Diversity Papers - Geographical distribution of genetic diversity of zoological or botanical species.