Plasma Lipidomics Profiles Highlight the Associations of the Dual Antioxidant/Pro-oxidant Molecules Sphingomyelin and Phosphatidylcholine with Subclinical Atherosclerosis in Patients with Type 1 Diabetes.

Here, we report on our study of plasma lipidomics profiles of patients with type 1 diabetes (T1DM) and explore potential associations. One hundred and seven patients with T1DM were consecutively recruited. Ultrasound imaging of peripheral arteries was performed using a high image resolution B-mode ultrasound system. Untargeted lipidomics analysis was performed using UHPLC coupled to qTOF/MS. The associations were evaluated using machine learning algorithms. SM(32:2) and ether lipid species (PC(O-30:1)/PC(P-30:0)) were significantly and positively associated with subclinical atherosclerosis (SA). This association was further confirmed in patients with overweight/obesity (specifically with SM(40:2)). A negative association between SA and lysophosphatidylcholine species was found among lean subjects. Phosphatidylcholines (PC(40:6) and PC(36:6)) and cholesterol esters (ChoE(20:5)) were associated positively with intima-media thickness both in subjects with and without overweight/obesity. In summary, the plasma antioxidant molecules SM and PC differed according to the presence of SA and/or overweight status in patients with T1DM. This is the first study showing the associations in T1DM, and the findings may be useful in the targeting of a personalized approach aimed at preventing cardiovascular disease in these patients.

Are birth weight predictors in diabetic pregnancy the same in boys and girls?

OBJECTIVES: To study the predictors of abnormal fetal growth in diabetic pregnancy, analyzing the role of fetal sex. STUDY DESIGN: Observational retrospective study was carried out in a University hospital. We studied 2833 newborns of diabetic mothers who attended the Diabetes and Pregnancy Clinic and delivered in the center between 1/1/1982 and 31/12/2006 (2370 born to women with gestational diabetes mellitus, 391 to women with type 1 diabetes mellitus (DM), and 72 to women with type 2 DM). Logistic regression analyses were performed with a backward method to predict large for gestational age (LGA), small for gestational age (SGA) and macrosomic newborns using relevant variables and their interaction with fetal sex. We have used as potential predictors of abnormal birth weight: maternal prepregnancy age, weight, height and body mass index, prior pregnancy, prior macrosomia, smoking habit, weight increase during pregnancy, hypertension, gestational age at delivery, twin pregnancy, fetal sex, diabetes type, third trimester HbA1c and interaction of fetal sex with all these variables. RESULTS: Variables predictive of LGA, SGA and macrosomia were as formerly described. Moreover, some predictors of abnormal growth displayed an interaction with fetal sex. In LGA prediction, male sex displayed a positive interaction with delivery week, prior gestation, diabetes type and twin pregnancy and a negative one with weight increase. In SGA prediction, male sex displayed a positive interaction with delivery week and diabetes type. In macrosomia prediction, male sex displayed a negative interaction with weight increase. CONCLUSIONS: In this cohort of diabetic pregnancies, some predictors of abnormal birth weight display interaction with fetal sex. In general, associations were more favorable to female fetuses.