DNA甲基化介导中国单卵双胞胎体重指数与血压的关系

IF 1 4区 医学 Q4 GENETICS & HEREDITY Twin Research and Human Genetics Pub Date : 2024-02-01 Epub Date: 2024-01-31 DOI:10.1017/thg.2024.3
Jie Yao, Feng Ning, Weijing Wang, Dongfeng Zhang
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引用次数: 0

摘要

肥胖是高血压的一个既定风险因素,但其中的机制只有部分清楚。我们研究了体重指数(BMI)相关的 DNA 甲基化(DNAm)变异是否会介导体重指数与血压(BP)之间的关系。我们首先对单卵双生子进行了全基因组DNA甲基化分析,以检测与BMI相关的DNAm变异,然后使用因果推断检验(CIT)方法和中介分析评估了DNAm对BMI和血压水平之间关系的中介作用。使用 GREAT 工具对 CpGs 进行了本体富集分析。共纳入了 60 对体重指数与收缩压(SBP)的孪生子和 58 对体重指数与舒张压(DBP)的孪生子。体重指数与 SBP 呈正相关(β = 1.86,p = .0004)。BMI 与 85 个 CpGs 的 DNAm 之间的相关性达到 p < 1×10-4 的水平。在 LNCPRESS1、OGDHL、RNU1-44P、NPHS1、ECEL1P2、LLGL2、RNY4P15、MOGAT3、PHACTR3 和 BAI2 中发现了 11 个与 BMI 相关的差异甲基化区域(DMRs)。在 85 个 CpGs 中,9 个映射到 C10orf71-AS1、NDUFB5P1、KRT80、BAI2、ABCA2、PEX11G 和 FGF4 的 CpGs 与 SBP 水平显著相关。在这 9 个 CpGs 中,ABCA2 中的 2 个负向中介了 BMI 与 SBP 之间的关联,中介效应为-0.24(95% CI [-0.65,-0.01])。体重指数也与 DBP 呈正相关(β = 0.60,p = .0495)。BMI 与 193 个 CpGs 的 DNAm 之间的相关性达到了 p < 1×10-4 的水平。在 OGDHL、POU4F2、ECEL1P2、TTC6、SMPD4、EP400、TUBA1C 和 AGAP2 中发现了 25 个与 BMI 相关的 DMRs。在 193 个 CpGs 中,映射到 ABCA2、ADORA2B、CTNNBIP1、KDM4B、NAA60、RSPH6A、SLC25A19 和 STIL 的 33 个 CpGs 与 DBP 水平显著相关。在 33 个 CpGs 中,ABCA2、SLC25A19、KDM4B、PTPRN2、DNASE1、TFCP2L1、LMNB2 和 C10orf71-AS1 中的 12 个负中介了 BMI 与 DBP 之间的关联,总中介效应为-0.66(95% CI [-1.07, -0.30])。有趣的是,BMI 也可能对上述大多数 CpG 介导因子的 DNAm 与血压之间的关系起负中介作用。在按性别分层时,DNAm 的中介效应也被发现。总之,DNAm的变化可能部分负向中介了体重指数与血压的关系。我们的研究结果可能为进一步阐明肥胖导致高血压的发病机制提供新的线索,并为高血压的诊断和治疗找到新的生物标志物和靶点。
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DNA Methylation Mediated the Association of Body Mass Index With Blood Pressure in Chinese Monozygotic Twins.

Obesity is an established risk factor for hypertension, but the mechanisms are only partially understood. We examined whether body mass index (BMI)-related DNA methylation (DNAm) variation would mediate the association of BMI with blood pressure (BP). We first conducted a genomewide DNA methylation analysis in monozygotic twin pairs to detect BMI-related DNAm variation and then evaluated the mediating effect of DNAm on the relationship between BMI and BP levels using the causal inference test (CIT) method and mediation analysis. Ontology enrichment analysis was performed for CpGs using the GREAT tool. A total of 60 twin pairs for BMI and systolic blood pressure (SBP) and 58 twin pairs for BMI and diastolic blood pressure (DBP) were included. BMI was positively associated with SBP (β = 1.86, p = .0004). The association between BMI and DNAm of 85 CpGs reached p < 1×10-4 level. Eleven BMI-related differentially methylated regions (DMRs) within LNCPRESS1, OGDHL, RNU1-44P, NPHS1, ECEL1P2, LLGL2, RNY4P15, MOGAT3, PHACTR3, and BAI2 were found. Of the 85 CpGs, 9 mapped to C10orf71-AS1, NDUFB5P1, KRT80, BAI2, ABCA2, PEX11G and FGF4 were significantly associated with SBP levels. Of the 9 CpGs, 2 within ABCA2 negatively mediated the association between BMI and SBP, with a mediating effect of -0.24 (95% CI [-0.65, -0.01]). BMI was also positively associated with DBP (β = 0.60, p = .0495). The association between BMI and DNAm of 193 CpGs reached p < 1×10-4 level. Twenty-five BMI-related DMRs within OGDHL, POU4F2, ECEL1P2, TTC6, SMPD4, EP400, TUBA1C and AGAP2 were found. Of the 193 CpGs, 33 mapped to ABCA2, ADORA2B, CTNNBIP1, KDM4B, NAA60, RSPH6A, SLC25A19 and STIL were significantly associated with DBP levels. Of the 33 CpGs, 12 within ABCA2, SLC25A19, KDM4B, PTPRN2, DNASE1, TFCP2L1, LMNB2 and C10orf71-AS1 negatively mediated the association between BMI and DBP, with a total mediation effect of -0.66 (95% CI [-1.07, -0.30]). Interestingly, BMI might also negatively mediate the association between the DNAm of most CpG mediators mentioned above and BP. The mediating effect of DNAm was also found when stratified by sex. In conclusion, DNAm variation may partially negatively mediate the association of BMI with BP. Our findings may provide new clues to further elucidate the pathogenesis of obesity to hypertension and identify new diagnostic biomarkers and therapeutic targets for hypertension.

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来源期刊
Twin Research and Human Genetics
Twin Research and Human Genetics 医学-妇产科学
CiteScore
1.50
自引率
11.10%
发文量
37
审稿时长
6-12 weeks
期刊介绍: Twin Research and Human Genetics is the official journal of the International Society for Twin Studies. Twin Research and Human Genetics covers all areas of human genetics with an emphasis on twin studies, genetic epidemiology, psychiatric and behavioral genetics, and research on multiple births in the fields of epidemiology, genetics, endocrinology, fetal pathology, obstetrics and pediatrics. Through Twin Research and Human Genetics the society aims to publish the latest research developments in twin studies throughout the world.
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