The Multi-Ethnic Study of Atherosclerosis was initiated in July 2000 to investigate the prevalence, correlates, and progression of subclinical cardiovascular disease (CVD) in a population-based sample of 6,500 men and women aged 45-84 years. The cohort will be selected from six US field centers. Approximately 38% of the cohort will be White, 28% African-American, 23% Hispanic, and 11% Asian (of Chinese descent). Baseline measurements will include measurement of coronary calcium using computed tomography; measurement of ventricular mass and function using cardiac magnetic resonance imaging; measurement of flow-mediated brachial artery endothelial vasodilation, carotid intimal-medial wall thickness, and distensibility of the carotid arteries using ultrasonography; measurement of peripheral vascular disease using ankle and brachial blood pressures; electrocardiography; and assessments of microalbuminuria, standard CVD risk factors, sociodemographic factors, life habits, and psychosocial factors. Blood samples will be assayed for putative biochemical risk factors and stored for use in nested case-control studies. DNA will be extracted and lymphocytes will be immortalized for genetic studies. Measurement of selected subclinical disease indicators and risk factors will be repeated for the study of progression over 7 years. Participants will be followed through 2008 for identification and characterization of CVD events, including acute myocardial infarction and other coronary heart disease, stroke, peripheral vascular disease, and congestive heart failure; therapeutic interventions for CVD; and mortality.

The data show a positive correlation of 25(OH)D concentration with insulin sensitivity and a negative effect of hypovitaminosis D on beta cell function. Subjects with hypovitaminosis D are at higher risk of insulin resistance and the metabolic syndrome. Further studies are required to explore the underlying mechanisms.

No abstract

The helix-loop-helix (HLH) protein NEUROD1 (also known as BETA2) functions as a regulatory switch for endocrine pancreatic development. In mice homozygous for a targeted disruption of Neurod, pancreatic islet morphogenesis is abnormal and overt diabetes develops due in part to inadequate expression of the insulin gene 1 (Ins2). NEUROD1, following its heterodimerization with the ubiquitous HLH protein E47, regulates insulin gene (INS) expression by binding to a critical E-box motif on the INS promoter 2 . Here we describe two mutations in NEUROD1, which are associated with the development of type 2 diabetes in the heterozygous state. The first, a missense mutation at Arg 111 in the DNA-binding domain, abolishes E-box binding activity of NEUROD1. The second mutation gives rise to a truncated polypeptide lacking the carboxy-terminal trans-activation domain, a region that associates with the co-activators CBP and p300 (refs 3,4). The clinical profile of patients with the truncated NEUROD1 polypeptide is more severe than that of patients with the Arg 111 mutation. Our findings suggest that deficient binding of NEUROD1 or binding of a transcriptionally inactive NEUROD1 polypeptide to target promoters in pancreatic islets leads to the development of type 2 diabetes in humans.NEUROD1 contains two exons and has been mapped to chromosome 2q (refs 5,6). We did not examine exon 1 because it is not translated 7 . Exon 2 encodes a protein with several distinct domains (Fig. 1a). We screened exon 2 and the flanking intron sequences for DNA sequence differences by direct sequencing of DNA samples from 94 individuals with type 2 diabetes. Each was the index case through which we ascertained 94 large families for the presence of diabetes segregating as an autosomal dominant disorder 8,9 .We examined exon 2 in all index cases and found four variants of the published sequence. The first was a single base-pair substitution, G→A, in codon 45 that results in an Ala→Thr substitution in the amino terminus of NEUROD1. The frequency of the threonine variant was similar in 94 index cases and in 96 unrelated non-diabetic individuals (32.9% and 35.9%, respectively). Similarly, this polymorphism was not associated with Fig. 1 Sequence differences found in NEUROD1. a, Schematic organization of NEUROD1 and its domains. Numbers refer to the amino acids bordering the domains. The details of the HLH domain are shown at the top. Filled arrows indicate mutations and the dotted arrows indicate the amino acid variants identified in NEUROD1.The borders were determined based on mammalian homology using published data 2 . 'tx/p300' indicates the transactivation domain as well as the p300-interacting region of NEUROD1 (refs 3,4). b, Alignment of the first 30 aa of the bHLH domain of NEUROD1 with other members of the basic HLH (bHLH) family. Residues responsible for DNA contact are underlined. The Arg 111 residue of NEUROD1 and the corresponding residues of MYOD and E47 are shown [16][17][18] (italics). c, A fragment of NEUROD1 sequence is shown, with the 2...

O ptimal treatment of type 1 diabetes should achieve normoglycemia at all times, without risk of hypoglycemia. Such a treatment should dramatically reduce or prevent diabetes complications and significantly improve patients' quality of life. This goal may be accomplished through pancreatic or islet cell transplantation, but availability of these tissues is limited, survival and function are unpredictable, and longterm immunosuppressive therapy is required (1). The potential for an automated closed-loop system, or artificial ␤-cell, to achieve round-the-clock glycemic control, has not been fully explored.An artificial ␤-cell requires a glucose sensor, an insulindelivery pump, and an algorithm for calculating insulin delivery. Technological and scientific advances have made sensors and pumps available, but linking the two as a "closed loop" has been challenging (2). Lingering questions remain regarding the suitability of different glucosesensing sites (subcutaneous versus intravascular), insulindelivery sites (subcutaneous versus intravascular versus intraperitoneal), and sensor reliability. In addition, no one algorithm has been universally accepted as optimal for insulin delivery (3).Herein, we describe the feasibility of achieving glycemic control in patients with type 1 diabetes using a system comprised of a subcutaneous glucose sensor, an external insulin pump, and an algorithm emulating the ␤-cell's multiphasic glucose-induced insulin release (4 -6). ). Subjects had been treated with continuous subcutaneous insulin infusion (CSII) using Lispro insulin (Lilly, Indianapolis, IN) for at least 6 months before study enrollment and were required to have an HbA 1c Ͻ9%. Data from a previously published study (7) characterizing insulin secretion over a 24-h period in nondiabetic subjects are included for comparison of the glucose profiles (n ϭ 17) obtained with a similar diet. The study was approved by the University of California, Los Angeles Institutional Review Board, and all patients gave written informed consent. RESEARCH DESIGN AND METHODSGlycemic control under CSII therapy was characterized over a 3-day outpatient period using a continuous glucose monitoring system (CGMS) (Medtronic MiniMed, Northridge, CA). The CGMS records sensor current every 5 min and glucose profiles are obtained retrospectively (8). Patients were instructed to keep their daily routine but to take a minimum of seven fingerstick blood glucose readings per day (preprandial and 2-h postprandial and at bedtime) with their home glucose meters. Patients were also instructed to record meal carbohydrate content, physical activity, and any hypoglycemic episodes or supplemental carbohydrate in a logbook.To evaluate the closed-loop insulin delivery system, patients were admitted to the general clinical research center at ϳ5:00 P.M., and their insulin pump was replaced with a Medtronic 511 Paradigm Pump capable of communicating telemetrically with a laptop computer. Two subcutaneous glucose sensors were inserted in the abdominal area and connected to...