Serum concentrations of laminin-P1 in diabetes mellitus: usefulness as an index of diabetic microangiopathy.
OBJECTIVE
To assess the influence of several variables on serum laminin-P1 (Lam-P1) and to evaluate its usefulness as a serum marker of diabetic microangiopathy.


METHODS
We determined Lam-P1 by serum radioimmunoassay in 121 controls and 176 diabetic patients, 58 type 1 (insulin dependent) and 118 type (non-insulin dependent), grouped according to retinal status and urinary albumin excretion. The variables evaluated were: age, gender, body mass index, blood pressure, consumption of tobacco and alcohol, type of diabetes, duration of disease, fasting blood glucose, HbA1, cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides and apolipoproteins (A1, B). Imprecision for laminin determination was: 3.6% intrassay; 5.8% interassay.


METHODS
Student's t-test, ANOVA, ANCOVA, and multiple regression analysis.


RESULTS
In diabetic patients Lam-P1 was higher than in controls (X = 1.63 +/- S.D. 0.36 vs. X = 1.40 +/- S.D. 0.18 U ml-1; P < 0.001) and only correlated with age (P = 0.002). Lam-P1 was higher in diabetics with proliferative retinopathy than in patients with non-proliferative retinopathy and without retinopathy (X = 2.17 +/- S.D. 0.49 U ml-1 vs. X = 1.71 +/- S.D. 0.22 U ml-1 vs. X = 1.47 +/- S.D. 0.26 U ml-1; P < 0.001). Patients with macroalbuminuria presented higher serum Lam-P1 than patients with micro or normoalbuminuria (X = 2.39 +/- S.D. 0.53 U ml-1 vs. X = 1.78 +/- S.D. 0.23 U ml-1 vs. X = 1.51 +/- S.D. 0.29 U ml-1; P < 0.001). These differences remained significative when patients were age-adjusted.


CONCLUSIONS
Lam-P1 could be useful as an index of diabetic microangiopathy but patient's age should be considered.
Simó
R
R
Department of Endocrinology, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Masmiquel
L
L
García-Pascual
L
L
Burgos
R
R
Mateo
C
C
Segura
R M
RM
Mesa
J
J
D000328:Adult; D000419:Albuminuria; D000428:Alcohol Drinking; D000704:Analysis of Variance; D001053:Apolipoproteins / Q000097:blood; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure; D002784:Cholesterol / Q000097:blood; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D003922:Diabetes Mellitus, Type 1 / Q000097:blood* / Q000503:physiopathology; D003924:Diabetes Mellitus, Type 2 / Q000097:blood* / Q000503:physiopathology; D003925:Diabetic Angiopathies / Q000175:diagnosis* / Q000453:epidemiology; D003930:Diabetic Retinopathy; D005260:Female; D006442:Glycated Hemoglobin / Q000032:analysis; D006801:Humans; D007797:Laminin / Q000097:blood*; D008297:Male; D008875:Middle Aged; D010446:Peptide Fragments / Q000097:blood*; D011237:Predictive Value of Tests; D012016:Reference Values; D012044:Regression Analysis; D015203:Reproducibility of Results; D012727:Sex Characteristics; D012907:Smoking; D014280:Triglycerides / Q000097:blood
D001053:Apolipoproteins; D015415:Biomarkers; D001786:Blood Glucose; D002784:Cholesterol; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D006442:Glycated Hemoglobin; D007797:Laminin; D010446:Peptide Fragments; D014280:Triglycerides; C055716:laminin P1