Carmina Mariana Stroia, Annamaria Pallag, Maria Vrânceanu, David de Lorenzo, Keith Anthony Grimaldi, Csaba Robert Pallag, Kinga Vindis, Diana Bei, Cristina Burlou-Nagy Fati, Timea Claudia Ghitea
{"title":"The Association of <i>VDR</i>, <i>CYP2R1</i>, and <i>GC</i> Gene Polymorphisms, Dietary Intake, and BMI in Regulating Vitamin D Status.","authors":"Carmina Mariana Stroia, Annamaria Pallag, Maria Vrânceanu, David de Lorenzo, Keith Anthony Grimaldi, Csaba Robert Pallag, Kinga Vindis, Diana Bei, Cristina Burlou-Nagy Fati, Timea Claudia Ghitea","doi":"10.3390/diseases13070219","DOIUrl":null,"url":null,"abstract":"<p><p>Vitamin D plays a crucial role in bone health and immune function, with serum 25(OH)D levels influenced by genetic, dietary, and metabolic factors.</p><p><strong>Background/objectives: </strong>This study investigated the impact of <i>VDR</i> rs731236, <i>CYP2R1</i> rs10741657, and <i>GC</i> rs2282679 polymorphisms, body mass index (BMI), and dietary vitamin D intake on vitamin D status.</p><p><strong>Methods: </strong>A total of 230 adults were classified into four BMI categories: normal weight (NW), overweight (OW), obesity class I (OB), and obesity class II/III (OP). Participants completed a Food Frequency Questionnaire (FFQ) and a 7-day Food Frequency Diary (FFD). Genotyping was performed using TaqMan assays, and serum 25(OH)D was quantified via spectrophotometry. Statistical analyses included ANOVA and multiple linear regression.</p><p><strong>Results: </strong>The <i>VDR</i> rs731236 CC genotype, <i>CYP2R1</i> rs10741657 AG/GG, and <i>GC</i> rs2282679 AC/CC were associated with lower serum vitamin D levels. A higher BMI was significantly correlated with reduced serum 25(OH)D (<i>p</i> < 0.001), with BMI emerging as the strongest predictor of vitamin D status. FFQ-based dietary intake showed a modest positive correlation with 25(OH)D (r = 0.47, <i>p</i> < 0.001).</p><p><strong>Conclusions: </strong>BMI and genetic variants in <i>VDR</i>, <i>CYP2R1</i>, and <i>GC</i> significantly influence vitamin D metabolism. Personalized interventions addressing genetic predispositions and weight management may improve vitamin D status.</p>","PeriodicalId":72832,"journal":{"name":"Diseases (Basel, Switzerland)","volume":"13 7","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12293828/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diseases (Basel, Switzerland)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/diseases13070219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Vitamin D plays a crucial role in bone health and immune function, with serum 25(OH)D levels influenced by genetic, dietary, and metabolic factors.
Background/objectives: This study investigated the impact of VDR rs731236, CYP2R1 rs10741657, and GC rs2282679 polymorphisms, body mass index (BMI), and dietary vitamin D intake on vitamin D status.
Methods: A total of 230 adults were classified into four BMI categories: normal weight (NW), overweight (OW), obesity class I (OB), and obesity class II/III (OP). Participants completed a Food Frequency Questionnaire (FFQ) and a 7-day Food Frequency Diary (FFD). Genotyping was performed using TaqMan assays, and serum 25(OH)D was quantified via spectrophotometry. Statistical analyses included ANOVA and multiple linear regression.
Results: The VDR rs731236 CC genotype, CYP2R1 rs10741657 AG/GG, and GC rs2282679 AC/CC were associated with lower serum vitamin D levels. A higher BMI was significantly correlated with reduced serum 25(OH)D (p < 0.001), with BMI emerging as the strongest predictor of vitamin D status. FFQ-based dietary intake showed a modest positive correlation with 25(OH)D (r = 0.47, p < 0.001).
Conclusions: BMI and genetic variants in VDR, CYP2R1, and GC significantly influence vitamin D metabolism. Personalized interventions addressing genetic predispositions and weight management may improve vitamin D status.