| Literature DB >> 23226566 |
Keitaro Yokoyama1, Akio Nakashima, Mitsuyoshi Urashima, Hiroaki Suga, Takeshi Mimura, Yasuo Kimura, Yasushi Kanazawa, Tamotsu Yokota, Masaya Sakamoto, Sho Ishizawa, Rimei Nishimura, Hideaki Kurata, Yudo Tanno, Katsuyoshi Tojo, Shigeru Kageyama, Ichiro Ohkido, Kazunori Utsunomiya, Tatsuo Hosoya.
Abstract
BACKGROUND: We aimed to examine associations among serum 25-hydroxyvitamin D (25OHD) levels, 1,25-dihyroxyvitamin D (1,25OHD) levels, vitamin D receptor (VDR) polymorphisms, and renal function based on estimated glomerular filtration rate (eGFR) in patients with type 2 diabetes.Entities:
Mesh:
Substances:
Year: 2012 PMID: 23226566 PMCID: PMC3514263 DOI: 10.1371/journal.pone.0051171
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Patients' characteristics of the study population and association with eGFR stage * 1.
| CKD stage (n) | Stage 1 (47) | Stage 2 (162) | Stage 3 (80) | Stage 4 (20) | Stage 5 (101) | P-value |
| Disease duration (years) median: IQR | 5:2∼9 | 10: 5∼17 | 11: 8∼22 | 11: 6∼20 | 16: 10∼23 | <0.001 |
| Age (years old) median: IQR | 55:42∼63 | 62: 57∼70 | 70: 60∼76 | 70: 62∼74 | 65: 60∼72 | <0.001 |
| Gender (M/F) | 30/17 | 111/51 | 63/17 | 15/5 | 71/30 | 0.39 |
| Body mass index (kg/m2) median: IQR | 24:22∼28 | 24: 22∼27 | 25: 22∼27 | 23: 22∼26 | 23: 20∼26 | 0.15 |
| Usage of ACEI/ARB | 11 (24%) | 70 (43%) | 52 (65%) | 19 (95%) | 61 (60%) | <0.001 |
| Usage of statin n (%) | 16 (35%) | 69 (43%) | 44 (55%) | 11 (55%) | 13 (13%) | <0.001 |
| Ca (mg/dL) median: IQR | 9.2:9.1∼9.4 | 9.4:9.2∼9.6 | 9.3:9.0∼9.6 | 9.0:8.7∼9.2 | 8.5:8.1∼9.0 | <0.001 |
| P (mg/dL) median: IQR | 3.6:3.2∼4.0 | 3.4:3.1∼3.8 | 3.4:3.0∼3.8 | 3.7:3.3∼4.0 | 5.5:4.4∼6.3 | <0.001 |
| iPTH (pg/mL) median: IQR | 38:30∼47 | 36:30∼45 | 43:28∼59 | 88:67∼120 | 103:68∼165 | <0.001 |
| Blood glucose (mg/dL) median: IQR | 139:113∼179 | 142: 112∼180 | 131: 103∼165 | 135: 107∼197 | - | 0.39 |
| Hb A1c (%) median: IQR | 6.5:6.0∼7.0 | 6.6:6.1∼7.3 | 6.3:6.0∼6.9 | 6.6:5.7∼7.2 | - | 0.33 |
| Use of active vitamin D n (%) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 52 (51) | <0.001 |
1: Stage 1 chronic kidney disease (CKD), estimated glomerular filtration rate (eGFR) ≥90 ml/min/1.73 m2; Stage 2 CKD, eGFR ≥60 to <90 ml/min/1.73 m2; Stage 3 CKD, eGFR ≥30 to <60 ml/min/1.73 m2; Stage 4 CKD, eGFR ≥15 to <30 ml/min/1.73 m2; and Stage 5 CKD, eGFR <15 ml/min/1.73 m2. *2: IQR: interquartile range. *3: P-value was evaluated with single ordered logistic regression model for eGFR stages. *4: P-value was calculated with chi-square test. *5: ACEI, angiotensin converting enzyme inhibitor; ARB, angiotensin II receptor blocker *6: The number of patients who could be measured was small and deleted from the analysis.
Figure 1Histogram of circulating 25OHD levels (A) and 1, 25OHD levels (B) in patients with type 2 diabetes and with CKD stage 1∼5.
Blood sampling was performed at entry; thus disease duration differed among patients. Serum 25OHD and 1,25OHD were measured by radioimmunoassay.
Figure 2Serum 25OHD and 1,25OHD levels from January to December in patients with type 2 diabetes and with CKD stage 1∼5.
Associations are shown using the total study population (A), a subpopulation with CKD stages 3∼5 (B), and a subpopulation with CKD stages 1∼2 (C). The central box extends from the 25th to the 75th percentile. All dots outside this range are outliers, which are not typical of the rest of the data.
Figure 3Two-way scatter graph for eGFR vs. 25OHD (A) or eGFR vs. 1,25OHD (B) in patients with type 2 diabetes and with CKD stage 1∼5.
Multiple ordered logistic regression model to see the interaction between FokI genotypes and 25OHD/1,25OHD levels on eGFR stage adjusted with 7 possible confounders*.
| Variable | Odds ratio | 95% Confidence interval | P value |
| 25OHD | 1.04 | 0.99 to 1.09 | 0.075 |
| 1,25OHD | 0.94 | 0.92 to 0.96 | <0.001 |
| Fok | Reference | - | - |
| Fok | 3.28 | 0.59 to 18.2 | 0.18 |
| Fok | 0.17 | 0.02 to 1.44 | 0.10 |
| 25OHD in Fok | Reference | - | - |
| 25OHD in Fok | 0.97 | 0.91 to 1.03 | 0.33 |
| 25OHD in Fok | 0.98 | 0.90 to 1.06 | 0.57 |
| 1,25OHD in Fok | Reference | - | - |
| 1,25OHD in Fok | 1.00 | 0.97 to 1.02 | 0.83 |
| 1,25OHD in Fok | 1.05 | 1.01 to 1.08 | 0.008 |
All variables in the table 2 as well as confounders disease duration; use of ACEI/ARB; use of statin; serum Ca, P, and iPTH levels; and calendar month were simultaneously computed with ordered logistic regression model.
Figure 4Two-way scatter graph for eGFR vs. 1,25OHD, stratified by patients with FokI TT and with FokI CC or CT.
Fitting curves were drawn by calculating the prediction for eGFR from a linear regression of eGFR on 1,25OHD either in patients with FokI TT and with FokI CC or CT using STATA ver. 12.0.