Carbamylation is part of the aging process and causes adverse changes in the structure and function of proteins. Lipoproteins are subjected to carbamylation. We investigated the usefulness of carbamylated HDL as a prognostic indicator of survival in patients with type 2 diabetes and the association with mortality outcomes.
 
  Baseline plasma carbamylated HDL was measured by ELISA in a cohort of 1,517 patients with type 2 diabetes. The primary outcome was all-cause mortality, and the secondary outcomes were cause-specific deaths, including cardiovascular, renal, infection, and cancer related.
 
  Over a median follow-up of 14 years, 292 patients died, and the mortality rate was 14.5 per 1,000 person-years. Plasma carbamylated HDL level was higher in those with a fatal outcome (46.1 ± 17.8 µg/mL vs. 32.9 ± 10.7; 
  < 0.01). Patients in the third (hazard ratio [HR] 2.11; 95% CI 1.40-3.17; 
  < 0.001) and fourth quartiles (HR 6.55; 95% CI 4.67-9.77; 
  < 0.001) of carbamylated HDL had increased mortality risk. After adjustment for conventional risk factors, elevated carbamylated HDL was independently associated with all-cause mortality (HR 1.39; 95% CI 1.28-1.52; 
  < 0.001) as well as with all the cause-specific mortalities. Adding plasma carbamylated HDL level improved the power of the multivariable models for predicting all-cause mortality, with significant increments in C index (from 0.78 to 0.80; 
  < 0.001), net reclassification index, and integrated discrimination improvement.
 
  Carbamylation of HDL renders HDL dysfunctional, and carbamylated HDL is independently associated with mortality outcomes in patients with type 2 diabetes.
 Carbamylation of HDL renders HDL dysfunctional, and carbamylated HDL is independently associated with mortality outcomes in patients with type 2 diabetes.
  Insulin resistance and obesity are independently associated with type 1 diabetes (T1D) and are known risk factors for cardiovascular and kidney diseases, the leading causes of death in T1D. We evaluated the effect of BMI on cardiovascular and kidney outcomes in youth with T1D versus control youth with normal weight or obesity and youth with type 2 diabetes (T2D).
 
  Pubertal youth (
  = 284) aged 12-21 years underwent assessments of resting heart rate (RHR), systolic blood pressure (SBP) and diastolic blood pressure (DBP), leptin, hs-CRP, adiponectin, ratio of urine albumin to creatinine, and estimated glomerular filtration rate. Participants with T1D underwent bicycle ergometry for VO
  peak, monitoring for peripheral brachial artery distensibility (BAD), endothelial function testing for reactive hyperemic index, and aortic MRI for central arterial stiffness or shear.
 
  In adolescents with T1D, RHR, SBP, DBP, mean arterial pressure, leptin, hs-CRP, and hypertension prevalence were significantly higher, and BAD, descending aorta pulse wave velocity, and VO
  peak lower with an obese versus normal BMI. Although hypertension prevalence and RHR were highest in obese adolescents with T1D and adiponectin lowest in youth with T2D, other measures were similar between obese adolescents with T1D and those with T2D.
 
  Obesity, now increasingly prevalent in people with T1D, correlates with a less favorable cardiovascular and kidney risk profile, nearly approximating the phenotype of youth with T2D. Focused lifestyle management in youth-onset T1D is critically needed to reduce cardiovascular risk.
 Obesity, now increasingly prevalent in people with T1D, correlates with a less favorable cardiovascular and kidney risk profile, nearly approximating the phenotype of youth with T2D. Focused lifestyle management in youth-onset T1D is critically needed to reduce cardiovascular risk.
  With rising global prevalence of diabetic retinopathy (DR), automated DR screening is needed for primary care settings. Two automated artificial intelligence (AI)-based DR screening algorithms have U.S. Food and Drug Administration (FDA) approval. Several others are under consideration while in clinical use in other countries, but their real-world performance has not been evaluated systematically. We compared the performance of seven automated AI-based DR screening algorithms (including one FDA-approved algorithm) against human graders when analyzing real-world retinal imaging data.
 
  This was a multicenter, noninterventional device validation study evaluating a total of 311,604 retinal images from 23,724 veterans who presented for teleretinal DR screening at the Veterans Affairs (VA) Puget Sound Health Care System (HCS) or Atlanta VA HCS from 2006 to 2018.  https://www.selleckchem.com/products/YM155.html  Five companies provided seven algorithms, including one with FDA approval, that independently analyzed all scans, regardless of image quality. The sensiesults argue for rigorous testing of all such algorithms on real-world data before clinical implementation.This review gives examples of emerging cardiovascular magnetic resonance (CMR) techniques and applications that have the potential to transition from research to clinical application in the near future. Four-dimensional flow CMR (4D-flow CMR) allows time-resolved three-directional, three-dimensional (3D) velocity-encoded phase-contrast imaging for 3D visualisation and quantification of valvular or intracavity flow. Acquisition times of under 10 min are achievable for a whole heart multidirectional data set and commercial software packages are now available for data analysis, making 4D-flow CMR feasible for inclusion in clinical imaging protocols. Diffusion tensor imaging (DTI) is based on the measurement of molecular water diffusion and uses contrasting behaviour in the presence and absence of boundaries to infer tissue structure. Cardiac DTI is capable of non-invasively phenotyping the 3D micro-architecture within a few minutes, facilitating transition of the method to clinical protocols. Hybrid positron emission tomography-magnetic resonance (PET-MR) provides quantitative PET measures of biological and pathological processes of the heart combined with anatomical, morphological and functional CMR imaging. Cardiac PET-MR offers opportunities in ischaemic, inflammatory and infiltrative heart disease.