With the development of data mining, machine learning offers opportunities to improve discrimination by analyzing complex interactions among massive variables. To test the ability of machine learning algorithms for predicting risk of type 2 diabetes mellitus (T2DM) in a rural Chinese population, we focus on a total of 36,652 eligible participants from the Henan Rural Cohort Study. Risk assessment models for T2DM were developed using six machine learning algorithms, including logistic regression (LR), classification and regression tree (CART), artificial neural networks (ANN), support vector machine (SVM), random forest (RF) and gradient boosting machine (GBM). The model performance was measured in an area under the receiver operating characteristic curve, sensitivity, specificity, positive predictive value, negative predictive value and area under precision recall curve. The importance of variables was identified based on each classifier and the shapley additive explanations approach. Using all available variables, all models for predicting risk of T2DM demonstrated strong predictive performance, with AUCs ranging between 0.811 and 0.872 using laboratory data and from 0.767 to 0.817 without laboratory data. Among them, the GBM model performed best (AUC: 0.872 with laboratory data and 0.817 without laboratory data). Performance of models plateaued when introduced 30 variables to each model except CART model. Among the top-10 variables across all methods were sweet flavor, urine glucose, age, heart rate, creatinine, waist circumference, uric acid, pulse pressure, insulin, and hypertension. New important risk factors (urinary indicators, sweet flavor) were not found in previous risk prediction methods, but determined by machine learning in our study. Through the results, machine learning methods showed competence in predicting risk of T2DM, leading to greater insights on disease risk factors with no priori assumption of causality.

/pdf/machine-learning-for-characterizing-risk-of-type-2-diabetes-40xzzk2gh3.pdf

Machine learning for characterizing risk of type 2 diabetes mellitus in a rural Chinese population: the Henan Rural Cohort Study.

Better integration of public health and medical services and greater focus on quality of services are needed to make further progress on health outcomes, say Beibei Yuan and colleagues

https://www.bmj.com/content/bmj/365/bmj.l2358.full.pdf

Strengthening public health services to achieve universal health coverage in China

We aim to study the antioxidative and anti-inflammatory effects of lycopene on type 2 diabetes mellitus (T2DM) rats, anticipating a complementary strategy for the prevention of long-term complications of T2DM. In this study, rats with streptozotocin-induced diabetes were divided into four groups, receiving a 10-week lycopene intervention: DM, DM + low dose of lycopene (L), DM + medium dose of lycopene (M), and DM + high dose of lycopene (H) group with 0, 5, 10, and 15 mg/kg BW lycopene, respectively. At the end of intervention, fasted blood glucose (FBG) level, oxidative stress indicators, including glycosylated hemoglobin (GHb), glycosylated low-density lipoprotein, oxidized low-density lipoprotein (ox-LDL). and malondialdehyde (MDA), as well as antioxidants, that is, catalase (CAT), superoxide dismutase (SOD), and glutathione peroxidase (GPx), and inflammatory factors like tumor necrosis factor-α (TNF-α) and C-reactive protein (CRP) were determined. The results indicated that oxidative stress and inflammatory factors were elevated in DM rats. Lycopene intervention decreased the FBG level in DM rats compared with the untreated ones. It revealed a dose-dependent effect on decreasing serum oxidative stress biomarkers, including GHb, ox-LDL, and MDA. Inflammatory factors (TNF-α and CRP) in DM rats were also decreased by lycopene intervention. Total antioxidative capacity as well as the activities of antioxidants in DM rats including CAT, SOD, and GPx were increased after lycopene intervention. We conclude that lycopene protects against diabetic progression and prevents further complications of diabetic rats through ameliorating oxidative stress and inflammation, as well as improving the systemic antioxidative capacity. PRACTICAL APPLICATION: According to our study, lycopene intakes at experimental dosages appear to have beneficial effects on ameliorating oxidative stress and inflammation in type 2 diabetes mellitus (T2DM) rats, suggesting that lycopene might help improving T2DM progression when its daily intake is up to about 0.79 mg/kg BW in humans, which approximately equals to 5 mg/kg BW in rats. However, more clinical trials are needed to provide a more reliable and convincing conclusion in humans.; © 2019 Institute of Food Technologists®.

Lycopene Ameliorated Oxidative Stress and Inflammation in Type 2 Diabetic Rats.

To estimate the clinical and economic burden of type 2 diabetes (T2D) in established (EST) and emerging markets (EMG). Three systematic literature reviews were conducted in MEDLINE and Embase to ca...

https://www.tandfonline.com/doi/pdf/10.1080/14737167.2020.1782748

Burden of disease and costs associated with type 2 diabetes in emerging and established markets: systematic review analyses.

Daytime napping and cardiovascular risk factors, cardiovascular disease, and mortality: A systematic review.

The aim of this study was to estimate the dynamics of type 2 diabetes mellitus (T2DM) prevalence and management rates based on a rural cohort study in Henan Province of China. The rural prospective study was conducted for 20194 Chinese population ≥18 years in 2007-2008 and followed during 2013-2014. A total of 14009 individuals were recruited for the prospective analysis ultimately. Over 5.74 years of follow-up, the age-standardized prevalence, awareness, treatment, and control of T2DM increased from 6.18%, 44.41%, 34.39%, and 19.08% at baseline to 7.87%, 59.64%, 52.17%, and 26.52% at follow-up in total population, respectively. Similar changes were found in men and women except the age-standardized control in men. The four parameters of T2DM were higher among various factors at follow-up than those at baseline. There was no statistical difference in awareness () and treatment () in the newly diagnosed T2DM compared with the rates at baseline. The current study indicated that the prevalence, awareness, treatment, and control of T2DM displayed chronological increasing trends while the awareness, treatment, and control of T2DM were still disproportionally low in central China. More works are needed urgently to popularize public health education and improve the quality of medical care in T2DM.

/pdf/the-dynamics-of-type-2-diabetes-mellitus-prevalence-and-2m35micgby.pdf

The Dynamics of Type 2 Diabetes Mellitus Prevalence and Management Rates among Rural Population in Henan Province, China

Age- and gender-specific associations of napping duration with type 2 diabetes mellitus in a Chinese rural population: the RuralDiab study

The purpose was to explore the effects of resting heart rate (RHR) and pulse pressure (PP) independently as well as their cumulative effects on the risk of type 2 diabetes mellitus (T2DM) through cross-sectional study plus meta-analysis. A total of 8276 subjects aged 35–74 years from the Rural Diabetes, Obesity and Lifestyle (RuralDiab) study were included in the study. Meanwhile, two meta-analyses were conducted to validate the results of the epidemiological research. The results showed that RHR and PP were associated with higher risk of T2DM, and the corresponding adjusted OR(95%CI) for each quartiles were 1.00, 0.99(0.68–1.42), 1.58(1.13–2.20), 2.93(2.15–3.98) and 1.00, 1.06(0.75–1.48), 1.11(0.79–1.56), 1.45(1.03–2.03), respectively. The cumulative effect analysis indicated that the adjusted OR(95%CI) in the fast RHR-high PP were 3.36(2.26–4.99), 2.60(1.47–4.59), and 3.60(2.09–6.20) compared with the slow RHR-low PP for total population, male and female, respectively. Meta-analysis showed that the pooled effect values for RHR and PP were 1.94(1.64–2.31) and 1.25(1.04–1.51), respectively. This study demonstrated that elevated RHR and PP are independently associated with the risk of T2DM as well as the influences of conventional confounders, and fast RHR with high PP might cumulatively increase the risk of T2DM. However, the potential clinical application remains to be determined.

Independent and cumulative effects of resting heart rate and pulse pressure with type 2 diabetes mellitus in Chinese rural population.

This study aimed to explore the role of LINC00665, miR-4458 and DOCK1 and their interactions in the development of acute myeloid leukemia (AML). The relative expression of LINC00665, miR-4458 and DOCK1 in AML samples was measured using qRT-PCR, and the protein level of DOCK1 in AML cell lines was examined using western blot. CCK8, BrdU, transwell, cell adhesion, and caspase-3 activity assays were carried out to evaluate the viability, proliferation, migration, adhesion, and apoptosis of AML cells, respectively. Luciferase reporter, RIP, and RNA pull-down assays were also performed to confirm the target relationship among LINC00665, miR-4458 and DOCK1. Findings revealed that LINC00665 and DOCK1 were aberrantly overexpressed in AML tissues and that the expression of miR-4458 was low in AML tissues. Silencing LINC00665 or DOCK1 presented significant restriction to the proliferation, migration and adhesion of AML cells. Apart from that, it was found that inhibiting miR-4458 could enhance the proliferation, migration and adhesion of AML cells but suppress the apoptosis of AML cells. Experimental results also indicated that LINC00665 exerted its positive function on AML cells by sponging miR-4458 and that miR-4458 influenced the progression of AML cells by targeting DOCK1 directly. Overall, this finding not only provided a novel molecular pathway for the diagnosis and treatment of AML but also showed that LINC00665 could enhance the progression of AML by regulating the miR-4458/DOCK1 pathway.

/pdf/linc00665-promotes-the-progression-of-acute-myeloid-leukemia-9gw6gdjd0a.pdf

LINC00665 promotes the progression of acute myeloid leukemia by regulating the miR-4458/DOCK1 pathway.

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The Dynamics of Type 2 Diabetes Mellitus Prevalence and Management Rates among Rural Population in Henan Province, China

Age- and gender-specific associations of napping duration with type 2 diabetes mellitus in a Chinese rural population: the RuralDiab study

Independent and cumulative effects of resting heart rate and pulse pressure with type 2 diabetes mellitus in Chinese rural population.

LINC00665 promotes the progression of acute myeloid leukemia by regulating the miR-4458/DOCK1 pathway.