{"title":"老年体衰前期和体衰老年人的维生素B水平:MTHFR和TCN2多态性的影响及其与整体DNA甲基化和身体表现的关系","authors":"Pitaksin Chitta, Busadee Pratumvinit, Witchayaporn Kaewboonruang, Atchara Dawangpa, Saliltip Khamrangsee, Prasert Assantachai, Rujapope Sutiwisesak, Wongsathit Wongloet, Tewin Tencomnao, Chanachai Sae-Lee","doi":"10.1186/s12986-025-01004-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Frailty syndrome poses significant challenges in older populations. Understanding the genetic and biochemical factors associated with frailty is essential for effective management strategies.</p><p><strong>Methods: </strong>In this study, Thai older adults (≥ 60 years, n = 170) were assessed for physical parameters, levels of B vitamins, creatinine, and homocysteine. The polymorphisms of methylenetetrahydrofolate reductase (MTHFR) (677 C > T) and Transcobalamin II (TCN2) 776G > C were identified. Global DNA methylation (global DNAm) was assessed using a colorimetric assay.</p><p><strong>Results: </strong>Participants were categorised into robust (n = 61), pre-frail (n = 62), and frail (n = 47) groups by Fried criteria and Kihon checklist. The physical parameters, including chair stand, functional reach, gait speed, and handgrip strength, showed highly significant differences among the groups (p < 0.01). Significant differences in folate and vitamin B<sub>6</sub> concentrations were observed between MTHFR and TCN2 genotypes, respectively. In addition, global DNAm levels were significantly lower in pre-frail individuals, particularly among those carrying the MTHFR C677T genotype, compared to both robust and frail groups. Notably, lower global DNAm was associated with a higher likelihood of being classified as pre-frail rather than frail, and a lower likelihood of being pre-frail compared to robust individuals. Moreover, correlation analyses revealed significant associations among physical parameters, clinical characteristics, and global DNAm.</p><p><strong>Conclusions: </strong>This study demonstrated the interplay between genetic variants, micronutrient status, and epigenetic modifications in the context of frailty among older adults. These findings highlight the potential of epigenetic and metabolic markers in identifying early frailty, though longitudinal and mechanistic studies are needed to further clarify causal pathways.</p><p><strong>Trial registration: </strong>This study was duly registered with the Thai Clinical Trial under the identifier TCTR20240626002 (date of registration: 21/06/2024).</p>","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":"22 1","pages":"103"},"PeriodicalIF":4.1000,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12406411/pdf/","citationCount":"0","resultStr":"{\"title\":\"Vitamin B levels in older adults with pre-frailty and frailty: the impact of MTHFR and TCN2 polymorphisms and their association with global DNA methylation and physical performance.\",\"authors\":\"Pitaksin Chitta, Busadee Pratumvinit, Witchayaporn Kaewboonruang, Atchara Dawangpa, Saliltip Khamrangsee, Prasert Assantachai, Rujapope Sutiwisesak, Wongsathit Wongloet, Tewin Tencomnao, Chanachai Sae-Lee\",\"doi\":\"10.1186/s12986-025-01004-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Frailty syndrome poses significant challenges in older populations. Understanding the genetic and biochemical factors associated with frailty is essential for effective management strategies.</p><p><strong>Methods: </strong>In this study, Thai older adults (≥ 60 years, n = 170) were assessed for physical parameters, levels of B vitamins, creatinine, and homocysteine. The polymorphisms of methylenetetrahydrofolate reductase (MTHFR) (677 C > T) and Transcobalamin II (TCN2) 776G > C were identified. Global DNA methylation (global DNAm) was assessed using a colorimetric assay.</p><p><strong>Results: </strong>Participants were categorised into robust (n = 61), pre-frail (n = 62), and frail (n = 47) groups by Fried criteria and Kihon checklist. The physical parameters, including chair stand, functional reach, gait speed, and handgrip strength, showed highly significant differences among the groups (p < 0.01). Significant differences in folate and vitamin B<sub>6</sub> concentrations were observed between MTHFR and TCN2 genotypes, respectively. In addition, global DNAm levels were significantly lower in pre-frail individuals, particularly among those carrying the MTHFR C677T genotype, compared to both robust and frail groups. Notably, lower global DNAm was associated with a higher likelihood of being classified as pre-frail rather than frail, and a lower likelihood of being pre-frail compared to robust individuals. Moreover, correlation analyses revealed significant associations among physical parameters, clinical characteristics, and global DNAm.</p><p><strong>Conclusions: </strong>This study demonstrated the interplay between genetic variants, micronutrient status, and epigenetic modifications in the context of frailty among older adults. These findings highlight the potential of epigenetic and metabolic markers in identifying early frailty, though longitudinal and mechanistic studies are needed to further clarify causal pathways.</p><p><strong>Trial registration: </strong>This study was duly registered with the Thai Clinical Trial under the identifier TCTR20240626002 (date of registration: 21/06/2024).</p>\",\"PeriodicalId\":19196,\"journal\":{\"name\":\"Nutrition & Metabolism\",\"volume\":\"22 1\",\"pages\":\"103\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12406411/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nutrition & Metabolism\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12986-025-01004-0\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition & Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12986-025-01004-0","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
Vitamin B levels in older adults with pre-frailty and frailty: the impact of MTHFR and TCN2 polymorphisms and their association with global DNA methylation and physical performance.
Background: Frailty syndrome poses significant challenges in older populations. Understanding the genetic and biochemical factors associated with frailty is essential for effective management strategies.
Methods: In this study, Thai older adults (≥ 60 years, n = 170) were assessed for physical parameters, levels of B vitamins, creatinine, and homocysteine. The polymorphisms of methylenetetrahydrofolate reductase (MTHFR) (677 C > T) and Transcobalamin II (TCN2) 776G > C were identified. Global DNA methylation (global DNAm) was assessed using a colorimetric assay.
Results: Participants were categorised into robust (n = 61), pre-frail (n = 62), and frail (n = 47) groups by Fried criteria and Kihon checklist. The physical parameters, including chair stand, functional reach, gait speed, and handgrip strength, showed highly significant differences among the groups (p < 0.01). Significant differences in folate and vitamin B6 concentrations were observed between MTHFR and TCN2 genotypes, respectively. In addition, global DNAm levels were significantly lower in pre-frail individuals, particularly among those carrying the MTHFR C677T genotype, compared to both robust and frail groups. Notably, lower global DNAm was associated with a higher likelihood of being classified as pre-frail rather than frail, and a lower likelihood of being pre-frail compared to robust individuals. Moreover, correlation analyses revealed significant associations among physical parameters, clinical characteristics, and global DNAm.
Conclusions: This study demonstrated the interplay between genetic variants, micronutrient status, and epigenetic modifications in the context of frailty among older adults. These findings highlight the potential of epigenetic and metabolic markers in identifying early frailty, though longitudinal and mechanistic studies are needed to further clarify causal pathways.
Trial registration: This study was duly registered with the Thai Clinical Trial under the identifier TCTR20240626002 (date of registration: 21/06/2024).
期刊介绍:
Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects.
The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases.
Key areas we wish to encourage submissions from include:
-how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes;
-the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components;
-how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved;
-how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.