Predicting all-cause mortality using available or conveniently modifiable risk factors is potentially crucial in reducing deaths precisely and efficiently. Framingham risk score (FRS) is widely used in predicting cardiovascular diseases, and its conventional risk factors are closely pertinent to deaths. Machine learning is increasingly considered to improve the predicting performances by developing predictive models.
View Article and Find Full Text PDFBackground: There is an increasing trend of Metabolic syndrome (MetS) prevalence, which has been considered as an important contributor for cardiovascular disease (CVD), cancers and diabetes. However, there is often a long asymptomatic phase of MetS, resulting in not diagnosed and intervened so timely as needed. It would be very helpful to explore tools to predict the probability of suffering from MetS in daily life or routinely clinical practice.
View Article and Find Full Text PDFBackground: Opportunely screening for diabetes is crucial to reduce its related morbidity, mortality, and socioeconomic burden. Machine learning (ML) has excellent capability to maximize predictive accuracy. We aim to develop ML-augmented models for diabetes screening in community and primary care settings.
View Article and Find Full Text PDFBackground: Catch-up fat in adults (CUFA) caused by rapid nutrition promotion after undernutrition plays an important role in the epidemic of insulin resistance (IR)-related diseases in developing societies. Insulin resistance is considered to be closely associated with reduced testosterone levels and cognitive function. However, the effects of CUFA on testosterone levels and cognitive function are unclear in males.
View Article and Find Full Text PDFObjective: To explore the influence by not performing an oral glucose tolerance test (OGTT) in Han Chinese over 40 years.
Design: Overall, 6682 participants were included in the prospective cohort study and were followed up for 3 years.
Methods: Fasting plasma glucose (FPG), 2-h post-load plasma glucose (2h-PG), FPG and 2h-PG (OGTT), and HbA1c testing using World Health Organization (WHO) or American Diabetes Association (ADA) criteria were employed for strategy analysis.
Background: Dyslipidemia predicts the development and progression of diabetes. A higher non-high-density lipoprotein cholesterol (HDL-C): HDL-C ratio is reportedly associated with metabolic syndrome and insulin resistance, but its relationship with glycemic levels and diabetes remains unclear.
Methods: In all, 4882 subjects aged ≥40 years without diabetes and not using lipid-lowering drugs were enrolled in the study.
Background: Neuregulin4 (Nrg4) is a novel adipokine expressed in adipose tissues, enriched in brown adipose tissue, and able to improve whole-body metabolism in rodent, thus having the potential to treat obesity-associated disorders such as diabetes. However, the association between serum Nrg4 levels and diabetes risk in human remains unclear. This study was designed to examine circulating Nrg4 levels in subjects with different glucose tolerance status.
View Article and Find Full Text PDFExp Biol Med (Maywood)
February 2017
Catch-up growth in adult, is increasingly recognized as an important causative factor for the extremely prevalent insulin resistance-related diseases especially in developing countries/territories. We aimed to investigate the alteration of bile acids level, phosphorylation and sumoylation of its interacting protein, bile acid receptor/farnesoid X receptor and their downstream signaling pathway, as well as insulin sensitivity and lipid profile in catch-up growth in adult rats. Male Sprague-Dawley rats were randomly allocated into four groups for two sampling points: caloric restriction group, catch-up growth in adult refed with normal chow and their normal chow controls for four or eight weeks (N4, N8 individually).
View Article and Find Full Text PDFExp Biol Med (Maywood)
September 2015
We reported recently that after a nutritional growth retardation, rats showed significant weight gain, central fat accumulation, dyslipidemia, and β-cell dysfunction during a catch-up growth (CUG) phase. Here, we investigated whether glucagon-like peptide-1 (GLP-1) ameliorated the rapid weight gain, central fat deposition, and β-cell dysfunction during the CUG in rats. Sixty-four male Sprague Dawley rats were stratified into four groups including normal control group, CUG group, catch-up growth with liraglutide treatment group, and catch-up growth with liraglutide and exendin 9-39 treatment group.
View Article and Find Full Text PDFCatch-up growth in adult (CUGA) is increasingly proposed as an important causative factor for the widespread insulin resistance (IR)-related diseases especially in developing countries/territories. We aimed to investigate the effects of CUGA to insulin sensitivity, lipid profile and stress in rats, as well as the probable relationship among them. Male Sprague-Dawley rats were randomly divided into six groups for two sampling points: caloric restriction group (R4) and normal chow controls for four weeks (NC4); CUGA re-fed with normal chow (RN4), CUGA re-fed with high-fat diet (RH4), normal chow controls (NC8) and high-fat diet controls (HF8) for eight weeks.
View Article and Find Full Text PDFInsulin therapy has been shown to contribute to extended glycemia remission in newly diagnosed patients with type 2 diabetes mellitus. This study investigated the effects of insulin treatment on pancreatic lipid content, and β-cell apoptosis and proliferation in glucose-intolerant rats to explore the protective role of insulin on β-cell function. A rat glucose-intolerant model was induced by streptozotocin and a high-fat diet.
View Article and Find Full Text PDFObjective: The purpose of this study was to examine how catch-up growth modulated islet function and what the detailed mechanisms were, especially at various stages and in different forms, of catch-up growth.
Methods: We examined the modulation of islet function during catch-up growth by employing an oral glucose tolerance test and gained some insight into the possible mechanisms involved by measuring general physiologic parameters, pancreatic morphometry, insulin content, and the state of chronic oxidative stress. Correlation analyses were used to assess the correlation of insulin/glucose incremental area ratio to other parameters.
The study of pre-earthquake (PE) behavior in animals has always been shrouded by controversy. There is very little scientific evidence showing that animals can sense the coming of an earthquake and that their organisms undergo physiological changes during the PE period. On the day of the Wenchuan earthquake, prior to the time of its actual occurrence, we were coincidentally able to measure the insulin sensitivity and stress level in rats that were originally part of another study.
View Article and Find Full Text PDFThis study was designed to explore the metabolic changes resulting from catch-up growth in adult (CUGA) induced by varying degrees of nutrition promotion after undernutrition and to confirm whether these changes are transient or not. The CUGA models were developed on rats refed on intakes of normal chow or high-fat diet after a period of caloric restriction. The growth of the rats measured by body weight and length stagnated during caloric restriction and then rapidly accelerated following refeeding.
View Article and Find Full Text PDFTo investigate mechanisms of protective effects of fenofibrate on the diabetic kidney, male Wistar rats were divided into control, untreated diabetes, and fenofibrate-treated (32 mg kg(-1) d(-1), 8 weeks) diabetes groups. Diabetes induced by streptozotocin (25 mg/kg) and a high-fat diet was characterized by the disorders of plasma glucose and lipids. In untreated diabetic rats, there were increases in glomerular volume, matrix content, expressions of laminin and urinary albumin excretion.
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