Telomere length as biomarker of nutritional therapy for prevention of type 2 diabetes mellitus development in patients with coronary heart disease: CORDIOPREV randomised controlled trial.

BACKGROUND: Telomere Length (TL), a marker of cellular aging, holds promise as a biomarker to elucidate the molecular mechanism of diabetes. This study aimed to investigate whether shorter telomeres are associated with a higher risk of type 2 diabetes mellitus (T2DM) incidence in patients with coronary heart disease; and to determine whether the most suitable dietary patterns, particularly a Mediterranean diet or a low-fat diet, can mitigate the development of diabetes in these patients after a follow-up period of five years. METHODS: The CORonary Diet Intervention with Olive oil and cardiovascular PREVention study (CORDIOPREV study) was a single-centre, randomised clinical trial done at the Reina Sofia University Hospital in Córdoba, Spain. Patients with established coronary heart disease (aged 20-75 years) were randomly assigned in a 1:1 ratio by the Andalusian School of Public Health to receive two healthy diets. Clinical investigators were masked to treatment assignment; participants were not. Quantitative-PCR was used to assess TL measurements. FINDINGS: 1002 patients (59.5 ± 8.7 years and 82.5% men) were enrolled into Mediterranean diet (n = 502) or a low-fat diet (n = 500) groups. In this analysis, we included all 462 patients who did not have T2DM at baseline. Among them, 107 patients developed T2DM after a median of 60 months. Cox regression analyses showed that patients at risk of short telomeres (TL < percentile 20th) are more likely to experience T2DM than those at no risk of short telomeres (HR 1.65, p-value 0.023). In terms of diet, patients at high risk of short telomeres had a higher risk of T2DM incidence after consuming a low-fat diet compared to patients at no risk of short telomeres (HR 2.43, 95CI% 1.26 to 4.69, p-value 0.008), while no differences were observed in the Mediterranean diet group. CONCLUSION: Patients with shorter TL presented a higher risk of developing T2DM. This association could be mitigated with a specific dietary pattern, in our case a Mediterranean diet, to prevent T2DM in patients with coronary heart disease. TRIAL REGISTRATION: Clinicaltrials.gov number NCT00924937.

Iron Status and Risk of Heart Disease, Stroke, and Diabetes: A Mendelian Randomization Study in European Adults.

BACKGROUND: The relevance of iron status biomarkers for coronary artery disease (CAD), heart failure (HF), ischemic stroke (IS), and type 2 diabetes (T2D) is uncertain. We compared the observational and Mendelian randomization (MR) analyses of iron status biomarkers and hemoglobin with these diseases. METHODS AND RESULTS: Observational analyses of hemoglobin were compared with genetically predicted hemoglobin with cardiovascular diseases and diabetes in the UK Biobank. Iron biomarkers included transferrin saturation, serum iron, ferritin, and total iron binding capacity. MR analyses assessed associations with CAD (CARDIOGRAMplusC4D [Coronary Artery Disease Genome Wide Replication and Meta-Analysis Plus The Coronary Artery Disease Genetics], n=181 522 cases), HF (HERMES [Heart Failure Molecular Epidemiology for Therapeutic Targets), n=115 150 cases), IS (GIGASTROKE, n=62 100 cases), and T2D (DIAMANTE [Diabetes Meta-Analysis of Trans-Ethnic Association Studies], n=80 154 cases) genome-wide consortia. Observational analyses demonstrated J-shaped associations of hemoglobin with CAD, HF, IS, and T2D. In contrast, MR analyses demonstrated linear positive associations of higher genetically predicted hemoglobin levels with 8% higher risk per 1 SD higher hemoglobin for CAD, 10% to 13% for diabetes, but not with IS or HF in UK Biobank. Bidirectional MR analyses confirmed the causal relevance of iron biomarkers for hemoglobin. Further MR analyses in global consortia demonstrated modest protective effects of iron biomarkers for CAD (7%-14% lower risk for 1 SD higher levels of iron biomarkers), adverse effects for T2D, but no associations with IS or HF. CONCLUSIONS: Higher levels of iron biomarkers were protective for CAD, had adverse effects on T2D, but had no effects on IS or HF. Randomized trials are now required to assess effects of iron supplements on risk of CAD in high-risk older people.

Effect of sesame supplementation on body composition and lipid profile in patients with type 2 diabetes: A systematic review and meta-analysis of randomized controlled trials.

AIMS: The aim of this study was to conduct a systematic review and meta-analysis of randomized controlled trials (RCTs) that evaluated the impact of sesame supplementation on body weight (BW), body mass index (BMI), triglycerides (TGs), total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), and high-density lipoprotein-cholesterol (HDL-C) in patients with type 2 diabetes mellitus (T2DM). DATA SYNTHESIS: PubMed, Scopus, ISI Web of Science, and Embase were searched without any restrictions until September 2023.Only RCTs reporting the effects of sesame supplementation on body composition and lipid profiles were included, while observational studies and animal models were excluded. The methodological quality of the studies was assessed using the Cochrane risk of bias tool. Out of 997 studies identified, 10 were included in the systematic review and meta-analysis. Our meta-analysis suggested a significant association between sesame supplementation and reduction in TG (weighted mean difference (WMD): -37.61 mg/dl, 95 % CI: -61.48, 13.73), TC (WMD: -32.69 mg/dl, 95 % CI: -47.26, 18.12), and LDL-C (WMD: -28.72 mg/dl, 95 % CI: -44.68, 12.76). However, our meta-analysis indicated that the supplementary intake of sesame had no significant effect on HDL-C, BW, and BMI in patients with T2DM. CONCLUSIONS: This study showed that sesame consumption significantly lowered TG, TC, and LDL-C levels, which may have contributed to the improvement of clinical symptoms in T2DM. However, given the limited number of trials included in the analysis, additional large-scale studies are needed to confirm the effects of sesame consumption on the lipid profile and body composition in patients with T2DM. PROSPERO CODE: CRD42023460630.

Carnosine supplementation improves glucose control in adults with pre-diabetes and type 2 diabetes: A randomised controlled trial.

BACKGROUND AND AIMS: Type 2 diabetes (T2DM) is a major cause of morbidity and mortality globally. Carnosine, a naturally occurring dipeptide, has anti-inflammatory, antioxidant, and anti-glycating effects, with preliminary evidence suggesting it may improve important chronic disease risk factors in adults with cardiometabolic conditions. METHODS AND RESULTS: In this randomised controlled trial, 43 adults (30%F) living with prediabetes or T2DM consumed carnosine (2 g) or a matching placebo daily for 14 weeks to evaluate its effect on glucose metabolism assessed via a 2-h 75 g oral glucose tolerance test. Secondary outcomes included body composition analysis by dual energy x-ray absorptiometry (DEXA), calf muscle density by pQCT, and anthropometry. Carnosine supplementation decreased blood glucose at 90 min (-1.31 mmol/L; p = 0.02) and 120 min (-1.60 mmol/L, p = 0.02) and total glucose area under the curve (-3.30 mmol/L; p = 0.04) following an oral glucose tolerance test. There were no additional changes in secondary outcomes. The carnosine group results remained significant before and after adjustment for age, sex, and change in weight (all>0.05), and in further sensitivity analyses accounting for missing data. There were no significant changes in insulin levels. CONCLUSION: This study provides preliminary support for larger trials evaluating carnosine as a potential treatment for prediabetes and the initial stages of T2DM. Likely mechanisms may include changes to hepatic glucose output explaining the observed reduction in blood glucose without changes in insulin secretion following carnosine supplementation.

Characteristics of metabolic inflammatory syndrome among inpatients with type 2 diabetes: A cross-sectional study in China.

BACKGROUND: As meta-inflammation is a common feature for obesity, type 2 diabetes (T2D), nonalcoholic fatty liver disease and atherosclerosis, we have proposed a new concept, metabolic inflammatory syndrome (MIS), to cluster such diseases. We aimed to characterize MIS and explore its association with coronary heart disease (CHD) among T2D inpatients in China. METHODS: A total number of 8344 T2D participants were enrolled. Each component of MIS and metabolic syndrome (MS) was analyzed. Their association with the risk of CHD was assessed using a binary logistic analysis. RESULTS: Among the T2D inpatients, the detection rate of MIS was much higher than that of MS (93.6 % vs. 53.2 %). Among all the components of MIS and MS, carotid atherosclerosis (71.9 %) was most commonly detected, which increased with aging in subgroups. Surprisingly, the most common combination of MIS was with all 4 components in T2D patients, with a constituent ratio of 30.9 %. According to the odds ratios (ORs), MIS was a better predictor of CHD than MS, especially after adjustment for age, sex, smoking, and alcohol consumption (adjusted OR for MIS: 3.083; for MS: 1.515). The presence of more components of MIS was associated with a higher detection rate of CHD (P < 0.001). Among all the components of MIS and MS, carotid atherosclerosis best predicted the risk of CHD (adjusted OR: 1.787). CONCLUSIONS: MIS is an independent risk factor for CHD, with a bigger OR value than MS. Carotid atherosclerosis, with the highest detection rate, was the best individual predictor of CHD and thus a critical component of MIS. The concept of MIS represents the understanding of metabolic diseases from the perspective of holistic integrative medicine.

Metformin prescription for U.S. veterans with prediabetes, 2010-2019.

Affecting an estimated 88 million Americans, prediabetes increases the risk for developing type 2 diabetes mellitus (T2DM), and independently, cardiovascular disease, retinopathy, nephropathy, and neuropathy. Nevertheless, little is known about the use of metformin for diabetes prevention among patients in the Veterans Health Administration, the largest integrated healthcare system in the U.S. This is a retrospective observational cohort study of the proportion of Veterans with incident prediabetes who were prescribed metformin at the Veterans Health Administration from October 2010 to September 2019. Among 1,059,605 Veterans with incident prediabetes, 12,009 (1.1%) were prescribed metformin during an average 3.4 years of observation after diagnosis. Metformin prescribing was marginally higher (1.6%) among those with body mass index (BMI) ≥35 kg/m2, age <60 years, HbA1c≥6.0%, or those with a history of gestational diabetes, all subgroups at a higher risk for progression to T2DM. In a multivariable model, metformin was more likely to be prescribed for those with BMI ≥35 kg/m2 incidence rate ratio [IRR] 2.6 [95% confidence intervals (CI): 2.1-3.3], female sex IRR, 2.4 [95% CI: 1.8-3.3], HbA1c≥6% IRR, 1.93 [95% CI: 1.5-2.4], age <60 years IRR, 1.7 [95% CI: 1.3-2.3], hypertriglyceridemia IRR, 1.5 [95% CI: 1.2-1.9], hypertension IRR, 1.5 [95% CI: 1.1-2.1], Major Depressive Disorder IRR, 1.5 [95% CI: 1.1-2.0], or schizophrenia IRR, 2.1 [95% CI: 1.2-3.8]. Over 20% of Veterans with prediabetes attended a comprehensive structured lifestyle modification clinic or program. Among Veterans with prediabetes, metformin was prescribed to 1.1% overall, a proportion that marginally increased to 1.6% in the subset of individuals at highest risk for progression to T2DM.

Integration of point-of-care screening for type 2 diabetes mellitus and hypertension into the COVID-19 vaccine programme in Johannesburg, South Africa.

BACKGROUND: South Africa grapples with a substantial burden of non-communicable diseases (NCDs), particularly type 2 diabetes (diabetes) and hypertension. However, these conditions are often underdiagnosed and poorly managed, further exacerbated by the strained primary healthcare (PHC) system and the disruptive impact of the COVID-19 pandemic. Integrating NCD screening with large-scale healthcare initiatives, such as COVID-19 vaccination campaigns, offers a potential solution, especially in low- and middle-income countries (LMICs). We investigated the feasibility and effectiveness of this integration. METHODS: A prospective cohort study was conducted at four government health facilities in Johannesburg, South Africa. NCD screening was incorporated into the COVID-19 vaccination campaign. Participants underwent COVID-19 rapid tests, blood glucose checks, blood pressure assessments, and anthropometric measurements. Those with elevated blood glucose or blood pressure values received referrals for diagnostic confirmation at local PHC centers. RESULTS: Among 1,376 participants screened, the overall diabetes prevalence was 4.1%, combining previously diagnosed cases and newly identified elevated blood glucose levels. Similarly, the hypertension prevalence was 19.4%, comprising pre-existing diagnoses and newly detected elevated blood pressure cases. Notably, 46.1% of participants displayed waist circumferences indicative of metabolic syndrome, more prevalent among females. Impressively, 7.8% of all participants screened were potentially newly diagnosed with diabetes or hypertension. Approximately 50% of individuals with elevated blood glucose or blood pressure successfully linked to follow-up care within four weeks. CONCLUSION: Our study underscores the value of utilizing even brief healthcare interactions as opportunities for screening additional health conditions, thereby aiding the identification of previously undiagnosed cases. Integrating NCD screenings into routine healthcare visits holds promise, especially in resource-constrained settings. Nonetheless, concerted efforts to strengthen care linkage are crucial for holistic NCD management and control. These findings provide actionable insights for addressing the NCD challenge and improving healthcare delivery in LMICs.

Investigation of the relationship between the attitudes of patients with type 2 diabetes toward insulin therapy and complementary alternative medicine.

AIM: This study aimed to determine the attitudes of patients with type 2 diabetes toward insulin treatment and complementary alternative medicine and to examine the relationship between them. METHOD: A cross-sectional design was used in the study. A total of 293 patients with type 2 diabetes were included in the study. The study data were collected by using a Descriptive Information Form, Complementary, Alternative and Conventional Medicine Attitude Scale (CACMAS), and the Insulin Treatment Appraisal Scale (ITAS). The factors related to the attitudes of patients with type 2 diabetes toward insulin were examined by using multiple linear regression analysis. RESULTS: It was determined that 36.5% of the patients used CAM, 49.8% received insulin therapy, and that 38.6% received oral antidiabetic treatment. Patients' mean score on the total CACMAS was 106.8 ± 19.7, indicating a moderately positive attitude. Their mean score on the total ITAS was 57.1 ± 11.6, suggesting that they had a negative attitude toward insulin therapy. In regular drug use, negative attitudes toward insulin decreased (ß = -0.151, p < 0.001), and when dissatisfaction with conventional medicine increased, negative attitudes toward insulin increased, as well (ß = -0.432p<0.05). CONCLUSION: While almost all of the patients (93.9%) had a negative attitude toward insulin, they had a moderately positive attitude toward the use of CAM. A significant portion of them (36.5%) stated that they used CAM. There was a weak positive correlation between attitude toward CAM and negative attitude toward insulin.

Noninvasive identificational diagnosis of diabetic nephropathy and non-diabetic renal disease based on clinical characteristics of Traditional Chinese Medicine symptom pattern and conventional medicine.

OBJECTIVE: To study the clinical characteristics relating to differential diagnosis of diabetic nephropathy (DN) and non-diabetic renal disease (NDRD). METHODS: The subjects were patients with type 2 diabetes mellitus (T2DM) complicated with chronic kidney disease (CKD). Western medical history data and Traditional Chinese Medicine (TCM) symptom pattern were collected, and logistic regression was used to analyze. RESULTS: Blood deficiency pattern [odds ratio () = 2.269, 0.017] and stagnation pattern ( = 1.999, 0.041) are independently related to DN. CONCLUSIONS: TCM factors blood deficiency pattern and stagnation pattern are relating to differential diagnosis of DN and NDRD.

Effectiveness and safety of Daixie Decoction granules combined with metformin for the treatment of T2DM patients with obesity: study protocol for a randomized, double-blinded, placebo-controlled, multicentre clinical trial.

BACKGROUND: Type 2 diabetes mellitus (T2DM) with obesity is a glycolipid metabolism disorder, which makes hypoglycaemic treatment more complex and increases the proportion of multidrug combinations. In addition, patients are more prone to adverse reactions and gradually lose compliance with treatment. Previous clinical trials have demonstrated that Daixie Decoction granules (DDG) can reduce body weight and blood lipids and improve the quality of life of T2DM with obesity. But there are a lack of further evaluations for the efficacy and safety of DDG combined with metformin. METHODS/DESIGN: The study is designed as a multicentre, randomized, double-blind, placebo-controlled clinical trial. Participants who meet the Nathrow criteria will be randomly assigned to the intervention group and control group (n 1 = n 2 = 133). Based on a unified diet control and exercise therapy, the intervention group will be treated with DDG and metformin, and the control group will be treated with DDG placebo and metformin. All subjects will receive a 6-month treatment followed by a 6-month follow-up. Effective rate of a 1% decrease in HbA1c and 3% decrease in body weight will serve as the primary outcome. The secondary outcome include fasting plasma glucose, blood lipids, C-peptides, insulin, inflammatory factors, insulin resistance index (HOMA-IR) and the subcutaneous and visceral fat content in the upper abdomen measured by MRI. Blood routine, urine routine, stool routine, liver and kidney function, EKG and other safety indicators and major adverse reactions were monitored during total treatment and follow-up time. DISCUSSION: We aimed to determine the efficacy and safety of DDG combined with metformin for the treatment of T2DM patients with obesity. TRIAL REGISTRATION: Trial registration: ChiCTR, ChiCTR2000036290. Registered 22 August 2014,  http://www.chictr.org.cn/showprojen.aspx? proj=59001.

Effect on cardiac function among patients with type 2 diabetes following high-dose mineralocorticoid receptor antagonist using echocardiography; data from the MIRAD randomized clinical trial.

BACKGROUND: Early heart failure prevention is central in patients with type 2 diabetes, and mineralocorticoid receptor antagonists (MRAs) have shown to improve prognosis. We investigated the effect of high-dose MRA, eplerenone, on cardiac function and structure in patients with type 2 diabetes and established or increased risk of cardiovascular disease but without heart failure. METHODS: In the current randomized, placebo-controlled clinical trial, 140 patients with high-risk type 2 diabetes were randomized to high-dose eplerenone (100-200 mg daily) or placebo as add-on to standard care for 26 weeks. Left ventricular systolic and diastolic function, indexed left ventricular mass (LVMi), and global longitudinal strain (GLS) were assessed using echocardiography at baseline and after 26 weeks of treatment. RESULTS: Of the included patients, 138 (99%) had an echocardiography performed at least once. Baseline early diastolic in-flow velocity (E-wave) indexed by mitral annulus velocity (e') was mean (SD) 11.1 (0.5), with 31% of patients reaching above 12. No effect of treatment on diastolic function was observed measured by E/e' (0.0, 95%CI [-1.2 to 1.2], P = 0.992) or E/A (-0.1, 95%CI [-0.2 to 0.0], P = 0.191). Mean left ventricular ejection fraction (LVEF) at baseline was 59.0% (8.0). No improvement in systolic function was observed when comparing groups after 26 weeks (LVEF: 0.9, 95%CI [-1.1 to 2.8], P = 0.382; GLS: -0.4%, 95%CI [-1.5 to 0.6], P = 0.422), nor in LVMi (-3.8 g/m2 95%CI [-10.2 to 2.7], P = 0.246). CONCLUSION: In the present echo sub-study, no change in left ventricular function was observed following high-dose MRA therapy in patients with type 2 diabetes when evaluated by conventional echocardiography. TRIAL REGISTRATION: Date of registration 25/08/2015 (EudraCT number: 2015-002,519-14).

Comparison of Operational Definition of Type 2 Diabetes Mellitus Based on Data from Korean National Health Insurance Service and Korea National Health and Nutrition Examination Survey.

BACKGROUND: We evaluated the validity and reliability of the operational definition of type 2 diabetes mellitus (T2DM) based on the Korean National Health Insurance Service (NHIS) database. METHODS: Adult subjects (≥40 years old) included in the Korea National Health and Nutrition Examination Survey (KNHANES) from 2008 to 2017 were merged with those from the NHIS health check-up database, producing a cross-sectional dataset. We evaluated the sensitivity, specificity, accuracy, and agreement of the NHIS criteria for defining T2DM by comparing them with the KNHANES criteria as a standard reference. RESULTS: In the study population (n=13,006), two algorithms were devised to determine from the NHIS dataset whether the diagnostic claim codes for T2DM were accompanied by prescription codes for anti-diabetic drugs (algorithm 1) or not (algorithm 2). Using these algorithms, the prevalence of T2DM was 14.9% (n=1,942; algorithm 1) and 20.8% (n=2,707; algorithm 2). Good reliability in defining T2DM was observed for both algorithms (Kappa index, 0.73 [algorithm 1], 0.63 [algorithm 2]). However, the accuracy (0.93 vs. 0.89) and specificity (0.96 vs. 0.90) tended to be higher for algorithm 1 than for algorithm 2. The validity (accuracy, ranging from 0.91 to 0.95) and reliability (Kappa index, ranging from 0.68 to 0.78) of defining T2DM by NHIS criteria were independent of age, sex, socioeconomic status, and accompanied hypertension or dyslipidemia. CONCLUSION: The operational definition of T2DM based on population-based NHIS claims data, including diagnostic codes and prescription codes, could be a valid tool to identify individuals with T2DM in the Korean population.

Mitochondrial DNA Copy Number Is a Potential Biomarker for Treatment Choice Between Metformin and Acarbose.

Metformin is the first-line drug for type 2 diabetes (T2D) while acarbose is suggested as a viable alternative in Chinese patients with newly diagnosed T2D. However, few biomarkers have been established to guide the choice between these two agents. Mitochondrial DNA (mtDNA) copy number (mtDNA-CN) is a biomarker of mitochondrial function, which is associated with various metabolic outcomes. Using data from the trial of Metformin and Acarbose in Chinese as the Initial Hypoglycaemic Treatment (MARCH) (metformin n = 214; acarbose n = 198), we examined whether mtDNA-CN was associated with response to the drugs in terms of glycemic response and ß-cell function protection response. The glycemic response is defined as the maximum glucose reduction of glycated hemoglobin A1c , fasting plasma glucose, or postprandial blood glucose during 48 weeks. ß-cell function protection response is defined as the maximum increment of insulinogenic index (IGI) or disposition index (DI). For all three glycemic responses, mtDNA-CN was not significantly associated with either metformin or acarbose. Importantly, for ß-cell function protection response, we found the increased mtDNA-CN was significantly associated with more IGI increment (beta: 0.84; 95% confidence interval (CI), 0.02 to 1.66) in the metformin group, but less IGI increment (beta: -1.38; 95% CI, -2.52 to -0.23) in the acarbose group. A significant interaction (P = 0.008) between mtDNA-CN and the treatment group was observed. Consistent results were also obtained when DI increment was used as a measure of ß-cell function response. This study demonstrated the potential application of mtDNA-CN in guiding the treatment choice between metformin and acarbose based on ß-cell protection.

The effect of bitter almond (Amygdalus communis L. var. Amara) gum as a functional food on metabolic profile, inflammatory markers, and mental health in type 2 diabetes women: a blinded randomized controlled trial protocol.

BACKGROUND: Using functional foods in the prevention and treatment of type 2 diabetes mellitus (T2DM) has increased across the world owing to their availability, cultural acceptability, and lower side effects. The present study will aim to examine the impact of bitter almond (Amygdalus communis L. var. Amara) gum as a functional food on metabolic profile, inflammatory markers, and mental health in women with T2DM. METHODS: We will conduct a randomized, triple-blind, placebo-controlled trial. A total of 44 women with T2DM will be randomly allocated into two groups: an intervention group (n = 20) and a placebo group (n = 20). Patients will receive either 5 g/d of bitter melon gum or a placebo for 8 weeks. Clinical and biochemical outcome parameters which include glycemic indices, lipid profile, inflammatory markers, oxidative stress indices, tryptophan (Trp), kynurenine (KYN), cortisol, glucagon-like peptide 1 (GLP-1), leptin, adiponectin, ghrelin, peroxisome proliferator-activated receptor (PPAR) gene expression, brain-derived neurotrophic factor (BDNF), endothelial cell adhesion molecules, plasminogen, cluster deference 4 (CD4), cluster deference 8 (CD8), anthropometric indices, blood pressure, dietary intake, and mental health will be measured at the baseline and end of the study. Statistical analysis will be conducted using the SPSS software (version 24), and P value less than 0.05 will be considered statistically significant. DISCUSSION: The present randomized controlled trial will aim to investigate any beneficial effects of bitter almond gum supplementation on the cardio-metabolic, immune-inflammatory, and oxidative stress biomarkers, as well as mental health in women with T2DM. ETHICS AND DISSEMINATION: The study protocol was approved by the Ethical Committee of the Tabriz University of Medical Sciences (IR.TBZMED.REC.1399.726). TRIAL REGISTRATION: Iranian Registry of Clinical Trials ( www.irct.ir/IRCT20150205020965N7 ).

Consensus of Chinese experts on strengthening personalized prevention and treatment of type 2 diabetes.

Up to now, there has not yet been guidance or consensus from Chinese experts in the field of personalized prevention and treatment of type 2 diabetes. In view of the above, the endocrinology diabetes Professional Committee of Chinese Non-government Medical Institutions Association, the integrated endocrinology diabetes Professional Committee of the integrated medicine branch of Chinese Medical Doctor Association, and the diabetes education and microvascular complications group of the diabetes branch of the Chinese Medical Association organized relevant experts to discuss and reach the "Chinese expert consensus on strengthening personalized prevention and treatment of type 2 diabetes" for reference in clinical practice.

Effects of whey protein supplementation on adiposity, body weight, and glycemic parameters: A synthesis of evidence.

AIMS: The aim of this review was to analyze the evidence of whey protein supplementation on body weight, fat mass, lean mass and glycemic parameters in subjects with overweight or type 2 diabetes mellitus (T2DM) undergoing calorie restriction or with ad libitum intake. DATA SYNTHESIS: Overweight and obesity are considered risk factors for the development of chronic noncommunicable diseases such as T2DM. Calorie restriction is a dietary therapy that reduces weight and fat mass, promotes the improvement of glycemic parameters, and decreases muscle mass. The maintenance of muscle mass during weight loss is necessary in view of its implication in preventing chronic diseases and improving functional capacity and quality of life. The effects of increased protein consumption on attenuating muscle loss and reducing body fat during calorie restriction or ad libitum intake in overweight individuals are discussed. Some studies have demonstrated the positive effects of whey protein supplementation on improving satiety and postprandial glycemic control in short term; however, it remains unclear whether long-term whey protein supplementation can positively affect glycemic parameters. CONCLUSIONS: Although whey protein is considered to have a high nutritional quality, its effects in the treatment of overweight, obese individuals and those with T2DM undergoing calorie restriction or ad libitum intake are still inconclusive.

Big data and machine learning to tackle diabetes management.

BACKGROUND: Type 2 Diabetes (T2D) diagnosis is based solely on glycaemia, even though it is an endpoint of numerous dysmetabolic pathways. Type 2 Diabetes complexity is challenging in a real-world scenario; thus, dissecting T2D heterogeneity is a priority. Cluster analysis, which identifies natural clusters within multidimensional data based on similarity measures, poses a promising tool to unravel Diabetes complexity. METHODS: In this review, we scrutinize and integrate the results obtained in most of the works up to date on cluster analysis and T2D. RESULTS: To correctly stratify subjects and to differentiate and individualize a preventive or therapeutic approach to Diabetes management, cluster analysis should be informed with more parameters than the traditional ones, such as etiological factors, pathophysiological mechanisms, other dysmetabolic co-morbidities, and biochemical factors, that is the millieu. Ultimately, the above-mentioned factors may impact on Diabetes and its complications. Lastly, we propose another theoretical model, which we named the Integrative Model. We differentiate three types of components: etiological factors, mechanisms and millieu. Each component encompasses several factors to be projected in separate 2D planes allowing an holistic interpretation of the individual pathology. CONCLUSION: Fully profiling the individuals, considering genomic and environmental factors, and exposure time, will allow the drive to precision medicine and prevention of complications.

Predictors of acarbose therapeutic efficacy in newly diagnosed type 2 diabetes mellitus patients in China.

BACKGROUND: Acarbose is one of the optimal drugs for patients with the first diagnosis of type 2 diabetes mellitus (T2DM). But what kind of emerging patients has the best therapeutic response to acarbose therapy has never been reported. To this end, we investigated predictors of acarbose therapeutic efficacy in newly diagnosed T2DM patients in China. METHODS: A total of 346 T2DM patients received acarbose monotherapy for 48 weeks as part of participating in the Study of Acarbose in Newly Diagnosed Patients with T2DM in China (MARCH study) from November 2008 to June 2011. Change in glycated hemoglobin (ΔHbA1c) served as a dependent variable while different baseline variables including sex, age, disease duration, weight, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), HbA1c, fasting plasma glucose (FPG), 2-h postprandial blood glucose (2 h PG), fasting insulin (FINS), 2-h postprandial insulin (2 h INS), early insulin secretion index (IGI), homeostasis model assessment of insulin resistance index (HOMA-IR), homeostasis model assessment of beta cell function (HOMA-B), area under the curve (AUC) of glucagon, insulin and GLP-1 were assessed as independent predictors. Step-wise multiple linear regression was employed for statistical analysis. RESULTS: The results suggested that independent predictors of ΔHbA1c at 12 weeks included baseline body weight (ß = - 0.012, P = 0.006), DBP (ß = 0.010, P = 0.047), FPG (ß = 0.111, P = 0.005) and 2 h PG (ß = 0.042, P = 0.043). Independent predictors of ΔHbA1c at 24 weeks included disease duration (ß = 0.040, P = 0.019) and FPG (ß = 0.117, P = 0.001). Finally, independent predictor of ΔHbA1c at 48 weeks was disease duration (ß = 0.038, P = 0.046). CONCLUSIONS: Acarbose may be more effective in newly diagnosed T2DM patients with low FPG, low 2 h PG and obesity. The earlier T2DM is diagnosed and continuously treated with acarbose, the better the response to therapy.