Genetic variants in vitamin D metabolism-related genes are associated with vitamin D status and adiposity markers

IF 3.4 3区 医学 Q2 NUTRITION & DIETETICS
Adriana Becerra‑Cervera , Rogelio F. Jiménez-Ortega , Diana I. Aparicio-Bautista , Tania V. López-Pérez , Nelly Patiño , Manuel Castillejos-López , Alberto Hidalgo‑Bravo , Edgar Denova‑Gutiérrez , Jorge Salmerón , Berenice Rivera‑Paredez , Rafael Velázquez‑Cruz
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引用次数: 0

Abstract

Single nucleotide variants (SNVs) in vitamin D (VD) metabolism genes have been shown to be associated with serum 25(OH)D concentrations. Although these associations have been reported in other populations, they are less studied in Mexico, a country with high vitamin D deficiency (VDD) despite ample sun exposure. Therefore, we investigate the association between VD-metabolism related SNVs, serum 25(OH)D concentrations, and their impact on VDD and adiposity indicators. We hypothesized that SNVs are associated with serum 25(OH)D concentrations in the Mexican population. We included 1977 individuals (597 males and 1380 females) from the Health Worker Cohort Study. Nine genetic variants: rs10741657 (CYP2R1), rs6013897 (CYP24A1), rs10877012 (CYP27B1), rs10783219 and rs4516035 (VDR), rs4588 and rs7041 (GC), rs4944957 and rs3794060 (NADSYN1), in VD metabolism-related genes were genotyped. Linear and logistic regression models were used to assess the association of interest. In our study, 7 genetic variants were associated with serum 25(OH)D concentrations and VDD. A genetic risk score was created using variants rs6013897 (CYP24A1), rs4516035 (VDR), and rs4588 (GC), which were associated with lower serum 25(OH)D concentrations, higher VDD prevalence, and increased odds of VDD. A second GRS using all 9 variants showed weaker associations. Gene-gene interactions between rs3794060-rs4944957 (NADSYN1), and rs10877012(CYP27B1)-rs7041(GC), were associated with serum 25(OH)D concentrations and VDD, respectively. Additionally, SNV interactions with body mass index, waist circumference, and body fat distribution were identified. These findings suggest that SNVs influence serum 25(OH)D concentrations and adiposity indicators, with potential clinical implications for obesity management.

Abstract Image

维生素D代谢相关基因的遗传变异与维生素D状态和肥胖标志物有关
维生素D (VD)代谢基因中的单核苷酸变异(SNVs)已被证明与血清25(OH)D浓度相关。尽管在其他人群中也有这些关联的报道,但在墨西哥,尽管有充足的阳光照射,但维生素D缺乏症(VDD)仍然很高,对这些关联的研究较少。因此,我们研究了vd代谢相关SNVs与血清25(OH)D浓度之间的关系,以及它们对VDD和肥胖指标的影响。我们假设snv与墨西哥人群的血清25(OH)D浓度有关。我们纳入了1977名来自卫生工作者队列研究的个体(597名男性和1380名女性)。对VD代谢相关基因中的9个遗传变异rs10741657 (CYP2R1)、rs6013897 (CYP24A1)、rs10877012 (CYP27B1)、rs10783219和rs4516035 (VDR)、rs4588和rs7041 (GC)、rs4944957和rs3794060 (NADSYN1)进行基因分型。使用线性和逻辑回归模型来评估感兴趣的关联。在我们的研究中,7个基因变异与血清25(OH)D浓度和VDD相关。使用rs6013897 (CYP24A1), rs4516035 (VDR)和rs4588 (GC)变体创建遗传风险评分,这些变体与较低的血清25(OH)D浓度,较高的VDD患病率和增加的VDD几率相关。使用所有9个变异的第二个GRS显示出较弱的关联。rs3794060-rs4944957 (NADSYN1)和rs10877012(CYP27B1)-rs7041(GC)基因间相互作用分别与血清25(OH)D浓度和VDD相关。此外,SNV与体重指数、腰围和体脂分布的相互作用被确定。这些发现表明,snv影响血清25(OH)D浓度和肥胖指标,对肥胖管理具有潜在的临床意义。
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来源期刊
Nutrition Research
Nutrition Research 医学-营养学
CiteScore
7.60
自引率
2.20%
发文量
107
审稿时长
58 days
期刊介绍: Nutrition Research publishes original research articles, communications, and reviews on basic and applied nutrition. The mission of Nutrition Research is to serve as the journal for global communication of nutrition and life sciences research on diet and health. The field of nutrition sciences includes, but is not limited to, the study of nutrients during growth, reproduction, aging, health, and disease. Articles covering basic and applied research on all aspects of nutrition sciences are encouraged, including: nutritional biochemistry and metabolism; metabolomics, nutrient gene interactions; nutrient requirements for health; nutrition and disease; digestion and absorption; nutritional anthropology; epidemiology; the influence of socioeconomic and cultural factors on nutrition of the individual and the community; the impact of nutrient intake on disease response and behavior; the consequences of nutritional deficiency on growth and development, endocrine and nervous systems, and immunity; nutrition and gut microbiota; food intolerance and allergy; nutrient drug interactions; nutrition and aging; nutrition and cancer; obesity; diabetes; and intervention programs.
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