title: Are lipid-dependent indicators of cardiovascular risk affected by renal transplantation?
abstract: Hyperlipoproteinemia has been reported to frequently occur in kidney transplanted patients, thus possibly explaining, at least in part, the increased incidence of cardiovascular disease in this population. To evaluate the impact of renal transplantation (Tx), and related immunosuppressive therapy, on plasma lipoprotein and Lp(a) profile, we selected a cohort of kidney transplanted patients (36 M/14 F; age 33.8 + 12.0 yr, range 13-62) lacking significant causes of hyperlipidemia. All patients received a triple immunosuppressive regimen and showed a stable renal function after Tx (plasma creatinine: 1.36 +/- 0.35 mg/dL). One year after Tx, we found a significant increase of total cholesterol (TC), LDL, HDL, ApoB and ApoA-I (p < 0.005), while plasma triglyceride levels remained unmodified. Lp(a) plasma levels after Tx were within the normal range and displayed a significant inverse relationship with apo(a) size. Noteworthy, LDL/HDL ratio and ApoB/ ApoA-I ratio in kidney transplanted patients were almost superimposable with those of normal controls. Specifically, LDL/HDL ratio significantly decreased in 64% of patients after Tx, due to a prevalent increase of HDL, and was associated with a moderate amelioration of plasma TG. In a multiple linear regression model, post-Tx HDL level was significantly related to recipient's age, gender, BMI and cyclosporine (CyA) trough levels (Adj-R2 = 0.35, p = 0.0002), with gender and CyA trough levels being the better predictors of HDL. In conclusion, immunosuppressive regimens, in themselves, do not appear to significantly increase the atherogenic risk related to lipoproteins. Rather, other factors can affect the lipoprotein profile and its vascular effects in renal transplant recipients.
authors.affiliation: Department of Emergency and Organ Transplants (DETO), Division of Nephrology, University of Bari, Italy.
authors.forename: A
authors.initials: A
authors.lastname: Schena
authors.forename: S
authors.initials: S
authors.lastname: Di Paolo
authors.forename: L F
authors.initials: LF
authors.lastname: Morrone
authors.forename: F
authors.initials: F
authors.lastname: Resta
authors.forename: G
authors.initials: G
authors.lastname: Stallone
authors.forename: F P
authors.initials: FP
authors.lastname: Schena
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D016632:Apolipoprotein A-I / Q000097:blood; D001055:Apolipoproteins B / Q000097:blood; D001161:Arteriosclerosis / Q000209:etiology; D015992:Body Mass Index; D016022:Case-Control Studies; D002784:Cholesterol / Q000097:blood; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D015331:Cohort Studies; D003404:Creatinine / Q000097:blood; D016572:Cyclosporine / Q000009:adverse effects / Q000097:blood / Q000627:therapeutic use; D005260:Female; D006801:Humans; D006951:Hyperlipoproteinemias / Q000209:etiology*; D007166:Immunosuppressive Agents / Q000009:adverse effects / Q000097:blood / Q000627:therapeutic use; D015994:Incidence; D016030:Kidney Transplantation / Q000276:immunology; D016014:Linear Models; D017270:Lipoprotein(a) / Q000097:blood; D008074:Lipoproteins / Q000097:blood*; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D012737:Sex Factors; D014280:Triglycerides / Q000097:blood
chemical_list: D016632:Apolipoprotein A-I; D001055:Apolipoproteins B; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D007166:Immunosuppressive Agents; D017270:Lipoprotein(a); D008074:Lipoproteins; D014280:Triglycerides; D016572:Cyclosporine; D002784:Cholesterol; D003404:Creatinine