| Literature DB >> 33219692 |
Guillermo Solache-Berrocal1,2, Valeria Rolle-Sóñora3, Noelia Martín-Fernández4, Serafí Cambray5, José Manuel Valdivielso2,5, Isabel Rodríguez1,2.
Abstract
BACKGROUND: Novel ways of determining cardiovascular risk are needed as a consequence of population ageing and the increased prevalence of chronic kidney disease (CKD), both of which favour vascular calcification. Since the formation of arterial calcium deposits has a genetic component, single nucleotide polymorphisms (SNPs) could predict cardiovascular events.Entities:
Keywords: calcium score; cardiovascular risk; klotho; single nucleotide polymorphism; vitamin D 24-hydroxylase
Mesh:
Substances:
Year: 2021 PMID: 33219692 PMCID: PMC8577629 DOI: 10.1093/ndt/gfaa240
Source DB: PubMed Journal: Nephrol Dial Transplant ISSN: 0931-0509 Impact factor: 5.992
Characteristics of the population
| Variable | CKD stage | |||||
|---|---|---|---|---|---|---|
| Total | Control | CKD 2–3 | CKD 4–5 | Dialysis | P-value | |
| ( | ( | ( | ( | ( | ||
| Age (years), mean (SD) | 61.9 (9.5) | 59.6 (8.6) | 64.5 (7.6) | 62.85 (9.0) | 58.3 (11.3) | <0.001 |
| Sex, | ||||||
| Male | 1295 (67.2) | 183 (66.5) | 474 (72.1) | 342 (63.8) | 296 (64.3) | 0.008 |
| Female | 633 (32.8) | 92 (33.5) | 183 (27.9) | 194 (36.2) | 164 (35.7) | |
| Smoking status, | ||||||
| Non-smoker | 724 (37.6) | 83 (30.2) | 245 (37.3) | 214 (39.9) | 182 (39.6) | 0.037 |
| Current smoker | 1204 (62.4) | 192 (69.8) | 412 (62.7) | 322 (60.1) | 278 (60.4) | |
| Hypertension, | ||||||
| No | 265 (13.7) | 144 (52.4) | 49 (7.5) | 16 (3.0) | 56 (12.2) | <0.001 |
| Yes | 1663 (86.3) | 131 (47.6) | 608 (92.5) | 520 (97.0) | 404 (87.8) | |
| Pulse pressure (mmHg), mean (SD) | 62.9 (18.5) | 56.5 (13.9) | 64.1 (17.3) | 67.1 (20.1) | 60.2 (19.0) | <0.001 |
| Hyperlipidaemia, | ||||||
| No | 645 (33.5) | 148 (53.8) | 161 (24.5) | 142 (26.5) | 194 (42.2) | <0.001 |
| Yes | 1283 (66.5) | 127 (46.2) | 496 (75.5) | 394 (73.5) | 266 (57.8) | |
| Diabetes, | ||||||
| No | 1389 (72.0) | 231 (84.0) | 446 (67.9) | 351 (65.5) | 361 (78.5) | <0.001 |
| Yes | 539 (28.0) | 44 (16.0) | 211 (32.1) | 185 (34.5) | 99 (21.5) | |
| Calcium score, median (IQR) | 0.22 (0.08–0.48) | 0.16 (0.05–0.32) | 0.22 (0.08–0.48) | 0.24 (0.09–0.47) | 0.26 (0.10–0.59) | <0.001 |
| Cardiovascular events, n (%) | ||||||
| No | 1740 (90.2) | 269 (97.8) | 599 (91.2) | 472 (88.1) | 400 (87.0) | <0.001 |
| Yes | 188 (9.8) | 6 (2.2) | 58 (8.8) | 64 (11.9) | 60 (13.0) | |
IQR, interquartile range; SD, standard deviation.
Multiple linear regression models for each SNP and the calcium score
| Gene | Polymorphism | Genotype |
| Estimate (95% CI) | P-value |
|---|---|---|---|---|---|
|
| rs11568820 | AA | 813 | Reference | |
| AG | 536 | −0.05 (−0.19–0.08) | 0.428 | ||
| GG | 91 | 0.21 (−0.06–0.48) | 0.124 | ||
|
| rs2248359 | CC | 367 | Reference | |
| CT | 472 | −0.21 (−0.38 to −0.05) | 0.010 | ||
| TT | 148 | −0.19 (−0.42–0.04) | 0.110 | ||
|
| rs2296241 | AA | 263 | Reference | |
| AG | 505 | 0.14 (−0.04–0.32) | 0.126 | ||
| GG | 220 | 0.36 (0.14–0.58) | 0.001 | ||
|
| rs3102735 | TT | 1391 | Reference | |
| TC | 397 | −0.05 (−0.19–0.08) | 0.464 | ||
| CC | 29 | 0.48 (0.03–0.93) | 0.036 | ||
|
| rs385564 | GG | 895 | Reference | |
| GC | 748 | 0.03 (−0.08–0.15) | 0.563 | ||
| CC | 164 | 0.23 (0.03–0.44) | 0.025 | ||
|
| rs4945392 | GG | 987 | Reference | |
| GT | 694 | −0.06 (−0.18–0.06) | 0.326 | ||
| TT | 135 | −0.28 (−0.49 to −0.06) | 0.014 |
Adjusted by age, sex, hypertension, diabetes and CKD stage.
FIGURE 1Multiple regression model of calcium score adjusted for six polymorphisms and confounding variables. aAdjusted by genotype for rs11568820 of VDR, rs2248359 and rs2296241 of CYP24A1, rs3102735 of TNFRSF11B and rs385564 and rs495392 of KL, as well as age, sex, hypertension, diabetes and CKD stage. Only those variables with a significant effect on the calcium score are shown.
FIGURE 2Multiple regression model of calcium score with grouped genotypes for rs2296241 and rs495392 polymorphisms.
FIGURE 3Cox proportional hazards multiple regression model.
FIGURE 4ROC curves for the validation of rs495392 polymorphism, based on classical cardiovascular risk factors used as confounding variables in the previous models.