| Literature DB >> 35093020 |
Tai-Hing Lam1, Karen Siu-Ling Lam2, Hung-Fat Tse3,4,5,6, Yap-Hang Chan7, C Mary Schooling8, Jie V Zhao8, Shiu-Lun Au Yeung8, Jo Jo Hai7,9, G Neil Thomas10, Kar-Keung Cheng10, Chao-Qiang Jiang11, Yuen-Kwun Wong7, Ka-Wing Au7, Clara S Tang12, Chloe Y Y Cheung13, Aimin Xu13, Pak-Chung Sham12.
Abstract
BACKGROUND: Vitamin D (Vit-D) promotes vascular repair and its deficiency is closely linked to the development of type 2 diabetes mellitus (T2DM) and hypertension. Whether genetially predicted vitamin D status (serological 25-hydroxyvitamin D [25(OH)D]) confers secondary protection against cardiovascular diseases (CVD) among high-risk hypertensive-diabetic subjects was unknown.Entities:
Keywords: Chinese; Exome Chip; Hypertension; Mendelian randomization; Secondary prevention; Type 2 diabetes; Vitamin D
Year: 2022 PMID: 35093020 PMCID: PMC8903706 DOI: 10.1186/s12263-022-00704-z
Source DB: PubMed Journal: Genes Nutr ISSN: 1555-8932 Impact factor: 5.523
Derivation and hypertensive-diabetic subcohort sample characteristics, stratified by incident combined cardiovascular (CV) endpoints
| Derivation Subcohort | Hypertensive-Diabetic Subcohort | ||||
|---|---|---|---|---|---|
| 786 (53.8%) | 1993 (62.6%) | 354 (63.1%) | 0.81 | ||
| 56.2 ± 11.4 | 64.7 ± 11.5 | 71.8 ± 10.4 | |||
| 504 (34.5%) | 1167 (36.6%) | 239 (42.6%) | |||
| 24.0 ± 3.5 | 25.9 ± 4.1 | 25.9 ± 4.4 | 0.89 | ||
| 473 (32.4%) | 2485 (78.0%) | 469 (83.6%) | |||
| 120.0 ± 14.8 | 139.3 ± 19.4 | 141.4 ± 21.9 | |||
| 72.1 ± 8.8 | 75.5 ± 11.0 | 70.1 ± 11.3 | |||
| 3.1 ± 0.9 | 2.6 ± 0.9 | 2.5 ± 1.0 | 0.077 | ||
| 1.4 ± 0.5 | 1.24 ± 0.44 | 1.17 ± 0.33 | |||
| 1.4 ± 1.0 | 1.6 ± 1.1 | 1.6 ± 1.2 | 0.66 | ||
| 6.8 ± 9.0 | 7.5 ± 6.3 | 8.5 ± 10.5 | |||
| 79.8 ± 50.1 | 98.4 ± 74.6 | 136.6 ± 113.1 | |||
| 849 (58.2%) | 2254 (70.8%) | 452 (80.6%) | |||
| 3.02 ± 0.33 | 3.01 ± 0.33 | 2.98 ± 0.38 | |||
| 0.57 | 0.61 | ||||
| Spring [ | 225 (15.4%) | 515 (16.2%) | 88 (15.7%) | ||
| Summer [ | 478 (32.7%) | 940 (29.5%) | 178 (31.7%) | ||
| Autumn [ | 222 (15.2%) | 537 (16.9%) | 99 (17.6%) | ||
| Winter [ | 535 (36.6%) | 1193 (37.5%) | 196 (34.9%) | ||
| 2.7 ± 1.2 | 2.7 ± 1.2 | 2.5 ± 1.3 | |||
*P < 0.05
†P value 1: Group (iii) versus (i)
P value 2: Group (iii) versus (ii)
‡Natural log-transformed due to skewed distribution
⌞GRS, genetic risk score (linear 0-6) based on allele scoring summation (CYP2R1: rs2060793; GC: rs4588, rs7041)
Fig. 2Per-allele estimates for hazards ratio (HR) of clinical endpoints driven by genetic vitamin D exposure in hypertensive-diabetic subjects. A Per-allele prediction estimates of candidate/constituent vitamin D genetic variants, or their combinations for combined cardiovascular (CV) endpoints are as follows: rs2060793: (HR = 0.98 [95%CI 0.86 to 1.12], P = 0.75); rs1993116: (HR = 0.98 [95%CI 0.86 to 1.11], P = 0.75); rs2282679: (HR = 0.83 [95%CI 0.73 to 0.95], P = 0.005); rs4588: (HR = 0.83 [95%CI 0.73 to 0.94], P = 0.004); rs1155563: (HR = 0.89 [95%CI 0.79 to 1.01], P = 0.070); rs7041: (HR = 0.82 [95%CI 0.72 to 0.94], P = 0.003); rs4588+rs7041: (HR = 0.87 [95%CI 0.81 to 0.94], P = 0.001); rs2060793+rs7041: (HR = 0.90 [95%CI 0.82 to 0.98], P = 0.020); rs2060793+rs4588: (HR= 0.90 [95%CI 0.82 to 0.99], P=0.024); rs2060793+rs4588+rs7041: (HR = 0.90 [95%CI 0.84 to 0.96], P = 0.002). The estimates were derived from multivariable Cox-proportional hazards model with adjustment for potential confounders as illustrated in Supplementary Table 1 (Multivariable Model 1).B Per-allele prediction estimates of candidate/constituent vitamin D genetic variants, or their combinations for incident myocardial infarction are as follows: rs2060793: (HR = 0.89 [95%CI 0.69 to 1.15], P = 0.38); rs1993116: (HR = 0.89 [95%CI 0.69 to 1.15], P = 0.36); rs2282679: (HR = 0.80 [95%CI 0.63 to 1.02], P = 0.07); rs4588: (HR = 0.82 [95%CI 0.64 to 1.04], P = 0.10); rs1155563: (HR = 0.90 [95%CI 0.71 to 1.14], P = 0.40); rs7041: (HR = 0.66 [95%CI 0.50 to 0.87], P = 0.003); rs4588+rs7041: (HR = 0.81 [95%CI 0.70 to 0.94], P = 0.005); rs2060793+rs7041: (HR = 0.77 [95%CI 0.64 to 0.92], P = 0.005); rs2060793+rs4588: (HR = 0.85 [95%CI 0.72 to 1.02], P = 0.08); rs2060793+rs4588+rs7041: (HR = 0.83 [95%CI 0.73 to 0.94], P = 0.004). The estimates were derived from multivariable Cox-proportional hazards model with adjustment for potential confounders (including age, diabetes mellitus, body-mass index, use of lipid-lowering drugs and creatinine), similar to multivariable model 1 illustrated in Supplementary Table 1
Fig. 1Cumulative hazards stratified by genetic vitamin D exposure for pre-specified clinical endpoints in hypertensive-diabetic subjects. Cumulative hazards curves supplemented with data on events-free survival. A Vitamin D genetic risk score (GRS) predicted combined cardiovascular (CV) endpoints in hypertensive subjects: mean survival (Below median: 123.6 [95%CI 119.8 to 127.5] months, versus ≥ median: 131.8 [95%CI 128.8 to 134.9] months, log-rank = 13.5, P<0.001); B Vitamin D GRS predicted incident myocardial infarction (MI): mean survival (below median: 145.1 [95%CI 142.6 to 147.7 months], versus ≥ median: 149.2 [95%CI 147.4 to 151.0 months], log-rank = 8.6, P = 0.003)
Fig. 3Mendelian randomization-inferred causality of vitamin D on incident clinical cardiovascular (CV) endpoints in hypertensive-diabetic subjects. Mendelian randomization showed vitamin D has causally protective effects against incident combined CV endpoints (Wald’s estimate: odds ratio [OR] = 0.86 [95%CI 0.75 to 0.95]) and incident myocardial infarction (OR = 0.76 [95%CI 0.60 to 0.90]) in 3746 hypertensive subjects. Any causality of vitamin D on incident CV death (OR = 0.87 [95%CI 0.58 to 1.19]), congestive heart failure (OR = 0.93 [95%CI 0.82 to 1.04]), ischemic stroke (OR = 0.90 [95%CI 0.67 to 1.09]), and peripheral vascular disease (OR = 0.85 [95%CI 0.52 to 1.30]) is neither supported nor excluded