| Literature DB >> 28574431 |
Camilo G Sotomayor1, Michele F Eisenga2, Antonio W Gomes Neto3, Akin Ozyilmaz4, Rijk O B Gans5, Wilhelmina H A de Jong6, Dorien M Zelle7, Stefan P Berger8, Carlo A J M Gaillard9, Gerjan J Navis10, Stephan J L Bakker11.
Abstract
Vitamin C may reduce inflammation and is inversely associated with mortality in the general population. We investigated the association of plasma vitamin C with all-cause mortality in renal transplant recipients (RTR); and whether this association would be mediated by inflammatory biomarkers. Vitamin C, high sensitive C-reactive protein (hs-CRP), soluble intercellular cell adhesion molecule 1 (sICAM-1), and soluble vascular cell adhesion molecule 1 (sVCAM-1) were measured in a cohort of 598 RTR. Cox regression analyses were used to analyze the association between vitamin C depletion (≤28 µmol/L; 22% of RTR) and mortality. Mediation analyses were performed according to Preacher and Hayes's procedure. At a median follow-up of 7.0 (6.2-7.5) years, 131 (21%) patients died. Vitamin C depletion was univariately associated with almost two-fold higher risk of mortality (Hazard ratio (HR) 1.95; 95% confidence interval (95%CI) 1.35-2.81, p < 0.001). This association remained independent of potential confounders (HR 1.74; 95%CI 1.18-2.57, p = 0.005). Hs-CRP, sICAM-1, sVCAM-1 and a composite score of inflammatory biomarkers mediated 16, 17, 15, and 32% of the association, respectively. Vitamin C depletion is frequent and independently associated with almost two-fold higher risk of mortality in RTR. It may be hypothesized that the beneficial effect of vitamin C at least partly occurs through decreasing inflammation.Entities:
Keywords: hs-CRP; inflammation; mortality; renal transplant; vitamin C
Mesh:
Substances:
Year: 2017 PMID: 28574431 PMCID: PMC5490547 DOI: 10.3390/nu9060568
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Baseline characteristics of RTR and its association with plasma vitamin C, adjusted for age and sex.
| Variables | All Patients | Vitamin C (Ln), µmol/L | |||
|---|---|---|---|---|---|
| Std. β | |||||
| No. of patients | 598 | - | - | ||
| Vitamin C, µmol/L | 44 (31–55) | - | - | ||
| Demographics | |||||
| Age, years | 51 ± 12 | −0.05 * | 0.23 * | ||
| Sex (male), | 328 (54) | −0.18 * | <0.001 * | ||
| Ethnicity (caucasian), | 577 (96) | −0.02 | 0.60 | ||
| Body Composition | |||||
| Body surface area, m2 | 1.87 ± 0.19 | −0.04 | 0.22 | ||
| Body mass index, kg/m2 | 26.0 ± 4.3 | −0.08 | 0.06 | ||
| Primary Renal Diseases | −0.02 | 0.61 | |||
| Primary glomerulonephritis, | 169 (28) | - | - | ||
| Glomerulonephritis due to vascular or autoimmune disease, | 36 (6) | - | - | ||
| Tubulointerstitial nephritis and pyelonephritis, | 92 (15) | - | - | ||
| Polycystic kidney disease, | 106 (18) | - | - | ||
| Dysplasia and hypoplasia, | 21 (4) | - | - | ||
| Renovascular disease, | 32 (5) | - | - | ||
| Diabetic nephropathy, | 22 (4) | - | - | ||
| Hereditary diseases and other, | 117 (20) | - | - | ||
| Tobacco Use | −0.08 | 0.06 | |||
| Never smoker,
| 214 (35) | - | - | ||
| Ex-smoker,
| 251 (42) | - | - | ||
| Current smoker,
| 131 (21) | - | - | ||
| Blood Pressure | |||||
| Systolic blood pressure, mmHg | 153 ± 22 | −0.11 | 0.004 | ||
| Diastolic blood pressure, mmHg | 89 ± 9 | −0.11 | 0.01 | ||
| Use of ACE-inhibitor or aII-antagonist, | 201 (33) | 0.07 | 0.11 | ||
| Use of beta-blocker, | 368 (61) | −0.07 | 0.11 | ||
| Prior History of CV Disease | |||||
| History of MI, | 48 (8) | −0.01 | 0.75 | ||
| History of TIA/CVA, | 32 (5) | −0.04 | 0.36 | ||
| Transplantation | |||||
| Time since transplantation, years | 5.9 (2.6–11.4) | 0.20 | <0.001 | ||
| Dialysis vintage, months | −0.14 | 0.001 | |||
| 141 (24) | - | - | |||
| 1–5 years | 363 (61) | - | - | ||
| >5 years | 94 (16) | - | - | ||
| Deceased donor, | 515 (86) | 0.02 | 0.61 | ||
| Immunosuppressive Therapy | |||||
| Prednisolone, mg/day | 10.0 (7.5–10.0) | −0.11 | 0.008 | ||
| Use of calcineurin inhibitors | −0.09 | 0.02 | |||
| Cyclosporine, | 386 (65) | - | - | ||
| Tacrolimus, | 84 (14) | - | - | ||
| None, | 128 (21) | - | - | ||
| Use of antimetabolites | −0.06 | 0.19 | |||
| Azathioprine, | 194 (32) | - | - | ||
| Mycophenolic acid, | 247 (41) | - | - | ||
| None, (%) | 157 (26) | - | - | ||
| Use of m-TOR inhibitors, | 10 (2) | −0.10 | 0.02 | ||
| Induction therapy | −0.20 | <0.001 | |||
| Anti-thymocyte globulin, | 70 (12) | - | - | ||
| Muromonab-CD3 , | 26 (4) | - | - | ||
| Anti-CD25 monoclonal antibodies, | 10 (2) | - | - | ||
| None, | 492 (82) | - | - | ||
| Acute rejection treatment | −0.13 | 0.03 | |||
| High doses of steroids, | 186 (31) | - | - | ||
| Other rejection therapy, | 82 (14) | - | - | ||
| Cumulative dose of prednisolone, grams | 21.3 (11.3–37.9) | 0.21 | <0.001 | ||
| Ischemia Times | |||||
| Cold ischemia time, hours | 22 (15–27) | 0.01 | 0.75 | ||
| Total warm ischemia, minutes | 35 (30–45) | 0.02 | 0.72 | ||
| Renal Allograft Function | |||||
| eGFR, mL/min/1.73 m2 | 47 ± 15 | 0.11 | 0.009 | ||
| Urinary protein excretion, g/24 h | 0.2 (0.0–0.5) | −0.06 | 0.22 | ||
| Proteinuria (>0.5 g/24 h), | 166 (27) | −0.11 | 0.006 | ||
| Inflammation | |||||
| hs-CRP, mg/L | 2.0 (0.7–4.8) | −0.19 | <0.001 | ||
| sICAM-1, ng/L | 602 (514–720) | −0.17 | <0.001 | ||
| sVCAM-1, ng/L | 965 (772–1196) | −0.16 | <0.001 | ||
| Lipids | |||||
| Total colesterol, mmol/L | 5.6 ± 1.0 | 0.05 | 0.24 | ||
| HDL colesterol, mmol/L | 1.0 ± 0.3 | 0.11 | 0.004 | ||
| LDL cholesterol, mmol/L | 3.5 ± 0.9 | 0.07 | 0.09 | ||
| Triglycerides, mmol/L | 1.9 (1.4–2.6) | −0.13 | 0.001 | ||
| Use of statins, | 295 (49) | 0.06 | 0.13 | ||
| Oxidative Stress | |||||
| Gamma glutamate, U/L | 24 (18–39) | −0.10 | 0.02 | ||
| Alkaline phophatase, U/L | 72 (57–94) | −0.21 | <0.001 | ||
| Uric acid, mmol/L | 0.4 (0.3–0.5) | −0.08 | 0.05 | ||
| Glucose Homeostasis | |||||
| Insulin, µU/mL | 11 (7–16) | −0.08 | 0.04 | ||
| Glucose, mmol/L | 4.5 (4.1–5.0) | −0.07 | 0.06 | ||
| HbA1c, % | 6.5 ± 1.0 | −0.12 | 0.002 | ||
| Diabetes, | 105 (17) | −0.11 | 0.008 | ||
| Hematology | |||||
| Leukocyte count, | 8.5 ± 2.4 | −0.03 | 0.42 | ||
| Hemoglobin, mmol/L | 8.5 ± 0.9 | 0.01 | 0.77 | ||
| Platelets count, | 231 ± 69 | −0.02 | 0.56 | ||
* Unadjusted. Abbreviations: ACE, angiotensin converting enzyme; CV, cardiovascular; CVA, cardiovascular accident; eGFR, estimated Glomerular Filtration Rate; HbA1c, glycated hemoglobin; HDL, high-density lipoprotein; hs-CRP, high-sensitive C reactive protein; LDL; low-density lipoprotein; m-TOR, mechanistic target of rapamycin; MI, myocardial infarction; sICAM-1, soluble intercellular cell adhesion molecule 1; sVCAM-1, soluble vascular cell adhesion molecule 1; TIA, transient ischemic attack; RTR, renal transplant recipients. Baseline characteristics normally distributed are summarized using means (SD), whereas skewed distributed variables are given as medians (IQR); percentages were used to summarize categorical variables. Multivariate linear regression analyses were performed to obtain a p value of potential associations of baseline characteristics of renal transplant recipients with plasma vitamin C concentration.
Figure 1Kaplan-Meier curve for all-cause mortality according to plasma vitamin C status (depleted versus non-depleted) among renal transplant recipients. Vitamin C depleted: ≤28 µmol/L; Vitamin C non-depleted: >28 µmol/L.
Prospective analysis of plasma vitamin C on all-cause mortality in RTR.
| Vitamin C, Status | Vitamin C, Continuous | ||||||
|---|---|---|---|---|---|---|---|
| ≤28 µmol/L | >28 µmol/L | 2log, µmol/L | |||||
| HR | 95% CI | Reference | HR | 95% CI | |||
| Model 1 | 1.95 | 1.35–2.81 | <0.001 | 1.00 | 0.71 | 0.59–0.87 | 0.001 |
| Model 2 | 1.92 | 1.33–2.77 | 0.001 | 1.00 | 0.74 | 0.61–0.90 | 0.002 |
| Model 3 | 1.88 | 1.28–2.76 | 0.001 | 1.00 | 0.76 | 0.62–0.94 | 0.011 |
| Model 4 | 1.91 | 1.30–2.82 | 0.001 | 1.00 | 0.76 | 0.62–0.94 | 0.012 |
| Model 5 | 1.80 | 1.22–2.65 | 0.003 | 1.00 | 0.79 | 0.64–0.98 | 0.030 |
| Model 6 | 1.70 | 1.15–2.52 | 0.008 | 1.00 | 0.79 | 0.63–0.98 | 0.030 |
| Model 7 | 1.74 | 1.18–2.57 | 0.005 | 1.00 | 0.78 | 0.63–0.97 | 0.024 |
Abbreviations: RTR, renal transplant recipients; HR, hazard ratio; CI, confidence interval. Model 1: Univariate. Model 2: Age and sex adjusted. Model 3: Model 2 + adjustment for estimated Glomerular Filtration Rate, proteinuria, primary renal disease, time since transplantation, and dialysis vintage. Model 4: Model 3 + adjustment for smoking and alcohol use. Model 5: Model 3 + adjustment for diabetes mellitus. Model 6: Model 3 + adjustment for systolic blood pressure, body mass index, high density lipoprotein cholesterol, and triglycerides concentration. Model 7: Model 3 + adjustment for use of calcineurin inhibitors, use of antimetabolites, use of m-TOR inhibitors, use of induction therapy, and cumulative dose of prednisolone.
Figure 2Association of plasma vitamin C with risk of all-cause mortality. The line in the graph represents the hazard ratio. The grey area represents the 95% confidence interval of the hazard ratio.
Mediating effects of hs-CRP, sICAM-1, sVCAM-1 separately and combined on the association of plasma Vitamin C concentration with risk of mortality in 598 RTR according to Preacher and Hayes procedure.
| Potential | Effect (Path) * | Multivariate Model ** | |
|---|---|---|---|
| Coefficient (95% CI) † | Proportion Mediated | ||
| hs-CRP | Indirect effect ( | −0.016 (−0.036; −0.004) | 16% *** |
| Total effect ( | −0.103 (−0.189; −0.010) | ||
| sICAM-1 | Indirect effect ( | −0.018 (−0.043; −0.003) | 17% *** |
| Total effect ( | −0.103 (−0.194; −0.016) | ||
| sVCAM-1 | Indirect effect ( | −0.015 (−0.040; −0.003) | 15% *** |
| Total effect ( | −0.103 (−0.200; −0.015) | ||
| Combined inflammation | Indirect effect ( | −0.033 (−0.065; −0.012) | 32% *** |
| Total effect ( | −0.103 (−0.191; −0.013) | ||
Abbreviations: hs-CRP, high sensitive C-reactive protein; sICAM-1, soluble intercellular cell adhesion molecule 1; sVCAM-1, soluble vascular cell adhesion molecule 1; RTR, renal transplant recipients; CI, confidence interval. * The coefficients of the indirect ab path and the total ab + c’ path are standardized for the standard deviations of the potential mediators, plasma vitamin C concentration and outcomes. ** All coefficients are adjusted for age, sex, estimated Glomerular Filtration Rate, time since transplantation, primary renal disease, and proteinuria. *** The size of the significant mediated effect is calculated as the standardized indirect effect divided by the standardized total effect multiplied by 100. † 95% confidence intervals for the indirect and total effects were bias-corrected confidence intervals after running 2000 bootstrap samples.
Figure A1Mediation analysis of combined score between hs-CRP, sICAM-1 and sVCAM-1 on the association of plasma vitamin C concentration with all-cause mortality. a, b and c are the standardized regression coefficients between variables. The indirect effect (through a potential mediator) is calculated as a × b. Total effect (c) is a × b + c’. Magnitude of mediation is calculated as indirect effect divided by total effect.