P3.5 URINARY PROTEOMICS AND VASCULAR PHENOTYPING IN A COHORT OF TYPE 2 DIABETIC PATIENTS AT HIGH CARDIOVASCULAR RISK
- DOI
- 10.1016/j.artres.2014.09.116How to use a DOI?
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Background: We have previously described a urinary proteomic classifier (CKD273) for diagnosis of diabetic nephropathy (DN). Whether CKD273 only highlights renal damage or reflects generalised vascular damage in diabetic patients remains unclear.
Methods: We recruited 45 Type 2 diabetic patients: 15 normoalbuminuric; 15 with MA and 15 with DN: albumin:creatinine ratio 1.1 (0–3.3), 7.7 (2.6–22.5), 124.5 (0.8–412.6) mg/mmol; estimated glomerular filtration rate (eGFR); 74 (46–125), 69 (49–100), 37 (6–60) ml/min/1.73m2. Participants underwent pulse wave analysis assessment of heart-rate corrected augmentation index (AIx@75) and ultrasound measurement of carotid intima-media thickness (c-IMT). Urine samples were analysed using capillary electrophoresis coupled to mass spectrometry (CE-MS).
Result: There was no difference in age (61±8, 64±6 and 59±7 years; p=0.130), body mass index (34.4±6.2, 35.1±8.1, 34.4±6.7 kg/m2; p=0.955) or blood pressure (144±15/83±7, 149±20/83±10, 148±16/82±12 mmHg; p=0.765/0.910) between groups. Participants were at high CV risk (Framingham score: 30±11, 38±12, 32±12; p=0.141; ASSIGN score: 36±15, 43±15, 39±17; p=0.415) and had subclinical vascular damage (AIx@75: 22 (7−38), 23 (13−21), 25 (4−35)%; p=0.993; c-IMT: 0.723 (0.563−1.276), 0.760 (0.614−1.082), 0.704 (0.581−0.986)mm; p=0.305) independent of eGFR (r=0.259, p=0.086 for c-IMT; r=0.082 p=0.598 for AIx@75). Despite similar CV risk and vascular phenotypes the CKD273 classifier was significantly different between the groups (−0.169±0.373, 0.421±0.467, 0.765±0.434; p=0.002) but not related to c-IMT(r=0.075, p=0.747) or AIx@75 (r=−0.299, p=0.200).
Conclusion: CKD273 distinguished normoalbuminuria from MA and DN independent of vascular phenotype. Neither traditional renal markers nor a novel proteomic classifier appear to fully explain the vascular damage in our cohort.
Cite this article
TY - JOUR AU - G. Currie AU - M. Friar AU - C. Brown AU - J. Flynn AU - W. Mullen AU - H. Mischak AU - C. Delles PY - 2014 DA - 2014/11/04 TI - P3.5 URINARY PROTEOMICS AND VASCULAR PHENOTYPING IN A COHORT OF TYPE 2 DIABETIC PATIENTS AT HIGH CARDIOVASCULAR RISK JO - Artery Research SP - 137 EP - 137 VL - 8 IS - 4 SN - 1876-4401 UR - https://doi.org/10.1016/j.artres.2014.09.116 DO - 10.1016/j.artres.2014.09.116 ID - Currie2014 ER -