{"title":"印度孟加拉族和古吉拉特族缺血性脑卒中患者TCF7L2基因变异及mRNA水平改变","authors":"Dipanwita Sadhukhan, Arunima Roy, Sukla Nath, Esha Basu, Joydeep Mukherjee, Kartik Chandra Ghosh, Tapas Kumar Banerjee, Prasad Krishnan, Sourya Kishore Chatterjee, Soaham Desai, Vishal Ajitbhai Patel, Debes Ray, Subhra Prakash Hui, Soma Gupta, Arindam Biswas","doi":"10.1007/s10528-025-11237-6","DOIUrl":null,"url":null,"abstract":"<p><p>Diabetes and Hyperlipidemia are major risk factors for stroke across the world population. TCF7L2, a key regulator of the WNT signaling pathway shows genetic association with these metabolic disorders in ethnicity dependant manner. However, its role in stroke pathogenesis (if any) is not well characterized. Here, we aim to (a) investigate and correlate dysregulation of TCF7L2 expression with diabetes or hyperlipidemia-associated Ischemic Stroke (b) identify genetic risk variants in the TCF7L2 gene, and (c) establish correlations between TCF7L2 mRNA levels and biochemical parameters. Based on radiological findings for Ischemic Stroke, a total of 50 unrelated subjects were recruited with diverse biochemical parameters for TCF7L2 mRNA expression study in PBMC, followed by correlation with fasting blood sugar and lipid profile. Furthermore, mutation screening (31 Cases and 30 Controls) and genetic association studies (rs7901695 & rs7903146) were performed among 326 cases and 258 controls from two different ethnic population of India. In our study, a significant downregulation of TCF7L2 transcript was observed between stroke cases and controls as major finding. Furthermore, stratification of stroke cases, according to their blood lipid and glucose level revealed a lower quantity of TCF7L2 transcript in hyperlipidemia stroke cases than non-hyperlipidemia subjects. However, no such association against diabetic status was observed. A simultaneous finding showing negative correlation of gene expression with total blood cholesterol level (P = 0.0187; r = - 0.4012) but not for diabetes, thus suggests TCF7L2 mediated altered lipid metabolism as a risk for stroke pathogenesis. On the other hand, allelic (P = 0.0207) and genotypic (P = 0.0002) association of functional variants like rs7901695 variants [P = 0.0207] among the majorly Bengali population of Kolkata and rs7903146 [P = 0.0164] among the Gujarati cohort was observed, respectively. Thus, on basis of our findings, genotyping of TCF7L2 variants or quantification of transcript, consumption of low-fat diet may be recommended to hyperlipidemia individuals for risk prediction and preventive treatment regimen, respectively.</p>","PeriodicalId":482,"journal":{"name":"Biochemical Genetics","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetic Variants and Alteration in Transcription Factor 7-Like 2 (TCF7L2) mRNA Level in Ischemic Stroke Patients Among Bengali and Gujarati Population from India.\",\"authors\":\"Dipanwita Sadhukhan, Arunima Roy, Sukla Nath, Esha Basu, Joydeep Mukherjee, Kartik Chandra Ghosh, Tapas Kumar Banerjee, Prasad Krishnan, Sourya Kishore Chatterjee, Soaham Desai, Vishal Ajitbhai Patel, Debes Ray, Subhra Prakash Hui, Soma Gupta, Arindam Biswas\",\"doi\":\"10.1007/s10528-025-11237-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Diabetes and Hyperlipidemia are major risk factors for stroke across the world population. TCF7L2, a key regulator of the WNT signaling pathway shows genetic association with these metabolic disorders in ethnicity dependant manner. However, its role in stroke pathogenesis (if any) is not well characterized. Here, we aim to (a) investigate and correlate dysregulation of TCF7L2 expression with diabetes or hyperlipidemia-associated Ischemic Stroke (b) identify genetic risk variants in the TCF7L2 gene, and (c) establish correlations between TCF7L2 mRNA levels and biochemical parameters. Based on radiological findings for Ischemic Stroke, a total of 50 unrelated subjects were recruited with diverse biochemical parameters for TCF7L2 mRNA expression study in PBMC, followed by correlation with fasting blood sugar and lipid profile. Furthermore, mutation screening (31 Cases and 30 Controls) and genetic association studies (rs7901695 & rs7903146) were performed among 326 cases and 258 controls from two different ethnic population of India. In our study, a significant downregulation of TCF7L2 transcript was observed between stroke cases and controls as major finding. Furthermore, stratification of stroke cases, according to their blood lipid and glucose level revealed a lower quantity of TCF7L2 transcript in hyperlipidemia stroke cases than non-hyperlipidemia subjects. However, no such association against diabetic status was observed. A simultaneous finding showing negative correlation of gene expression with total blood cholesterol level (P = 0.0187; r = - 0.4012) but not for diabetes, thus suggests TCF7L2 mediated altered lipid metabolism as a risk for stroke pathogenesis. On the other hand, allelic (P = 0.0207) and genotypic (P = 0.0002) association of functional variants like rs7901695 variants [P = 0.0207] among the majorly Bengali population of Kolkata and rs7903146 [P = 0.0164] among the Gujarati cohort was observed, respectively. Thus, on basis of our findings, genotyping of TCF7L2 variants or quantification of transcript, consumption of low-fat diet may be recommended to hyperlipidemia individuals for risk prediction and preventive treatment regimen, respectively.</p>\",\"PeriodicalId\":482,\"journal\":{\"name\":\"Biochemical Genetics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2025-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biochemical Genetics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s10528-025-11237-6\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemical Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s10528-025-11237-6","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Genetic Variants and Alteration in Transcription Factor 7-Like 2 (TCF7L2) mRNA Level in Ischemic Stroke Patients Among Bengali and Gujarati Population from India.
Diabetes and Hyperlipidemia are major risk factors for stroke across the world population. TCF7L2, a key regulator of the WNT signaling pathway shows genetic association with these metabolic disorders in ethnicity dependant manner. However, its role in stroke pathogenesis (if any) is not well characterized. Here, we aim to (a) investigate and correlate dysregulation of TCF7L2 expression with diabetes or hyperlipidemia-associated Ischemic Stroke (b) identify genetic risk variants in the TCF7L2 gene, and (c) establish correlations between TCF7L2 mRNA levels and biochemical parameters. Based on radiological findings for Ischemic Stroke, a total of 50 unrelated subjects were recruited with diverse biochemical parameters for TCF7L2 mRNA expression study in PBMC, followed by correlation with fasting blood sugar and lipid profile. Furthermore, mutation screening (31 Cases and 30 Controls) and genetic association studies (rs7901695 & rs7903146) were performed among 326 cases and 258 controls from two different ethnic population of India. In our study, a significant downregulation of TCF7L2 transcript was observed between stroke cases and controls as major finding. Furthermore, stratification of stroke cases, according to their blood lipid and glucose level revealed a lower quantity of TCF7L2 transcript in hyperlipidemia stroke cases than non-hyperlipidemia subjects. However, no such association against diabetic status was observed. A simultaneous finding showing negative correlation of gene expression with total blood cholesterol level (P = 0.0187; r = - 0.4012) but not for diabetes, thus suggests TCF7L2 mediated altered lipid metabolism as a risk for stroke pathogenesis. On the other hand, allelic (P = 0.0207) and genotypic (P = 0.0002) association of functional variants like rs7901695 variants [P = 0.0207] among the majorly Bengali population of Kolkata and rs7903146 [P = 0.0164] among the Gujarati cohort was observed, respectively. Thus, on basis of our findings, genotyping of TCF7L2 variants or quantification of transcript, consumption of low-fat diet may be recommended to hyperlipidemia individuals for risk prediction and preventive treatment regimen, respectively.
期刊介绍:
Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses.
Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication.
Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses.
Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods.
Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.