We assayed the levels of free radical and scavenger in the blood and lens of streptozotocin-in-duced diabetic SD rats, and found that the levels of lipoperoxide(LPO),MDA were higher than that of normal SD rats, and the total superoxygen dismutase (T-SOD), Cu-Zn-SOD) were lower that that of normal rats ( P lt;0.01 ). Simultaneous injection of streptozotocin and large dose of SOD could no avoid the occurence of diabetes mllitus, but did improve the metabolism of free radical in blood and lens. Hence, we think that large dose of SOD might be effective in preventing to development of diabetic cataract which is related to deterioration of free radical metabolism. （Chin J Ocul Fundus Dis,1994,10:25-27）
ObjectiveTo systematically evaluate the safety of dipeptidyl peptidase-4 (DPP-4) inhibitors on the risk of cardiovascular events in type 2 diabetes mellitus (T2DM) patients. MethodsDatabases such as the Cochrane Library, PubMed, Elsevier ScienceDirect and EMbase were searched to collect randomized controlled trials (RCTs) about DPP-4 inhibitors for T2DM patients from inception to February 2014. Two reviewers independently screened literature according to the inclusion and exclusion criteria, extracted data and assessed the methodological quality of included studies. Then, meta-analysis was performed using RevMan5.2 software. ResultsA total of 20 RCTs involving 10 402 patients were included. The results of meta-analysis showed that:there were no significant differences between the DPP-4 inhibitors group and the control group in the cardiovascular adverse events (RR=0.86, 95%CI 0.62 to 1.20, P=0.38) and acute coronary syndrome (RR=0.66, 95%CI 0.37 to 1.17, P=0.15). Subgroup analyses by type of liptins and durations showed there were lower risks of adverse cardiovascular events in the DPP-4 inhibitors group of the sitagliptin subgroup (RR=0.49, 95%CI 0.29 to 0.82, P=0.007) and the duration of ≥52 weeks subgroup (RR=0.62, 95%CI 0.39 to 0.97, P=0.04). No significant difference was found between the two groups in hypertension events (RR=1.09, 95%CI 0.84 to 1.40, P=0.52). ConclusionThe DPP-4 inhibitors are relatively safe. In the long-term treatment of T2DM, the sitagliptin could not only effectively control the level of blood sugar but also might obtain benefits in cardiovascular aspects.
ObjectiveTo explore how to determine the attributes of stated preference research more scientifically and reasonably. MethodsBased on the best-worst scaling object case (BWS-1) method, a BWS-1 questionnaire was generated using a balanced incomplete block design. Data collection was conducted among type 2 diabetes mellitus (T2DM) patients in Hainan and Jiangsu provinces. Data analysis was performed using counting analysis and conditional logit model to obtain the priority order of each attribute. ResultsThe results of BWS-1 using the counting and modelling approach showed high consistency. Among the 11 attributes, the top three attributes influencing the preference for second-line antihyperglycemic medications selection in T2DM patients were blood glucose control effectiveness, cardiovascular protection capability, and risk of hypoglycemic events, while the last three factors were dosing frequency, mode of administration and bone fracture. Based on literature review, qualitative research, and BWS-1 results, the seven attributes of discrete choice experiment and best-worst scaling profile case (BWS-2) were determined as follows: treatment efficacy, weight change, hypoglycemic events, gastrointestinal side effects, cardiovascular health, mode of administration and out-of-pocket cost. ConclusionBWS-1 can serve as an effective tool for determining the attributes of stated preference research. However, it is not recommended to solely rely on the priority ranking of BWS-1 results to determine the scope of attributes for stated preference research. It is necessary to conduct a specific analysis in conjunction with the research's policy objectives and real-world circumstances.
The incidence of obesity and type 2 diabetes mellitus (T2DM) in adolescents has been rapidly increasing over the past two decades due to dramatic changes in dietary structure and physical activity. The incidence of diabetic retinopathy (DR), a serious vision-threatening complication of diabetes, is also increasing yearly in the adolescent population with T2DM. Due to the insidious onset of retinal diseases in the early stages, regular screening is important for the timely diagnosis of DR. However, there are still problems such as low attention of the population and insufficient screening rate. In the future, we should strengthen the health education of the adolescent population and optimize the control of risk factors such as blood glucose and blood pressure. At the same time, appropriate screening strategies should be actively developed, and the use of telemedicine and emerging technologies should be promoted for early detection of treatable lesions to improve patient prognosis.
ObjectiveTo explore the effect of type 2 diabetes mellitus (T2DM) on the vascular endothelial function of patients with heart failure with mid-range ejection fraction (HFmrEF), and the impact of endothelial function damage on the long-term prognosis of HFmrEF. Metohds87 patients with T2DM and heart failure with mid-range ejection fraction (T2DM-HFmrEF), 98 patients with HFmrEF alone, and 70 healthy control who had been hospitalized at the department of cardiology of the First Affiliated Hospital of Xinjiang Medical University from December 2018 to January 2020 were included. The levels of serum TNF-α, IL-6, vWF, eNOs and E-selectin were determined by enzyme-linked immunosorbent assay. The oxidative stress and vascular endothelial function related indicators of the 3 groups were analyzed. The primary endpoint (all-cause death, exacerbation of heart failure and rehospitalization, or exacerbation of heart failure) and secondary endpoint events (non-fatal myocardial infarction, stable and unstable angina pectoris, or stroke) were followed up for 1 year after discharge.ResultsThe levels of TNF-α, IL-6, vWF, and E-selectin in the HFmrEF combined with diabetes group were higher than those in the HFmrEF without diabetes group (P<0.05). Multivariate Cox regression analysis showed that BNP (HR=1.001, P=0.036), eNOs (HR=1.04, P<0.001), and IL-6 (HR=1.002, P<0.001) were related to the primary end point of all patients with HFmrEF. Glycated hemoglobin (HR=1.37, P=0.046), E-selectin (HR=1.01, P=0.003), vWF (HR=1.02, P=0.017), and IL-6 (HR=1.006, P=0.005) were related to the secondary end point of all patients with HFmrEF. The results of subgroup analyze showed that E-selectin (HR=1.014, P=0.012) and IL-6 (HR=1.008, P=0.007) were related to the secondary endpoint events in the HFmrEF combined with diabetes group, but were not related to the secondary end point events of the non-diabetic group (P>0.05).ConclusionsOxidative stress and vascular endothelial function damage may be involved in the pathogenesis of T2DM-HFmrEF. Serum IL-6 and E-selectin levels are related to the endpoint events in T2DM-HFmrEF patients.
Objective To study the mechanism of gastric bypass operation on treatment of type 2 diabetes mellitus, recognize the etiology and pathogenesy of the disease and frame therapy strategy for type 2 diabetes mellitus. Methods The literatures about gastric bypass operation on treatment of type 2 diabetes mellitus, including clinical cases reports and evidence-based studies were reviewed. Results Gastrointestinal bypass operation was regarded as an effective treatment for type 2 diabetes mellitus. There were three hypotheses of therapy mechanism: early delivery of nutrients to the distal intestine, exclusion of the proximal intestine and incretin/anti-incretin. Conclusion Gastrointestinal bypass operation is now considering as an effective treatment, there is still a lack of basic experimental studies to clarify the mechanism.
Objective To investigate the short term and long term effects of laparoscopic gastric bypass on obesity related type 2 diabetes. Methods Twenty obese patients with type 2 diabetes underwent laparoscopic gastric bypass between Nov. 2009 and Feb. 2012 were identified in the computer database of West China Hospital of Sichuan University. All patients had short term follow-up of less than 1 year and among them 11 were with long term follow-up of 1 year or more. Body weight， body mass index （BMI）， blood glucose， glycosylated hemoglobin （HbA1c）， homeostasis model assessment of insulin resistance-insulin resistance （HOMA-IR）， blood pressure， and blood lipids were examined. Short term （＜1 year） and long term （≥1 year） remission rates of diabetes were calculated and factors which might have effects on the remission of diabetes were analyzed. Results Of patients with short term follow-up，body weight， fasting plasma glucose （FPG）， 2h plasma glucose （2hPG）， HbA1c， and HOMA-IR were reduced significantly. Among them， 18 of 20 patients （90.0%） reached the glucose and medication standards of complete remission and partial remission， 9 patients were defined as completely remitted （9/20， 45.0%）. Those accompanied with hypertension and （or） hyperlipemia were all improved clinically. The duration of diabetes， fasting and 2 h C peptide were found to be related to short term diabetes remission. Patients with long term follow-up of 1 year or more were observed to have significant reductions in body weight， FPG， 2hPG， HbA1c， and HOMA-IR as well. Hypertension and hyperlipidemia were all well controlled. The remission rate of diabetes reached 9/11 （81.8%）and those who were defined as completely remitted took a proportion of 6/11 （54.5%）. In these patients， those who did not reach the standards of complete remission had longer duration of diabetes and higher FPG when compared with those who did. No severe adverse event was found during the follow-up in either group. Most patients investigated were satisfied with the surgery.Conclusion Laparoscopic gastric bypass is effective and safe on short term and long term treatment of obesity related type 2 diabetes.
ObjectiveTo observe expressions of E3 ubiquitin ligase—mitsugmin53 (MG53) protein, MG53 mRNA, and insulin receptor substrate 1 (IRS-1) mRNA in skeletal muscle of non-obese type 2 diabetic mellitus (T2DM) rats after gastric bypass operation (GBP), and to investigate possible mechanism of GBP in improving insulin resistance.MethodsTwenty-four healthy male GK rats were randomly divided into diabetic operation group, diabetic sham operation group, and diabetic control group, 8 rats in each group; besides, 8 male Wistar rats were served as normal control group. The expressions of MG53 protein in skeletal muscle tissue were detected by using Western blot method on week8 after operation. The mRNA levels of IRS-1 and MG53 in skeletal muscles tissue were measured by RT-PCR methods on week 8 after operation.Results① The expressions of MG53 protein and MG53 mRNA in the diabetic sham operation group and diabetic control group were significantly higher than those in the diabetic operation group and the normal control group on week 8 after operation (P<0.05), respectively, which had no significant differences between the diabetic operation group and the normal control group (P>0.05), and between the diabetic sham operation group and the diabetic control group (P>0.05) on week 8 after surgery. ② Compared with the normal control group, the expression of IRS-1 mRNA was significantly decreased in the diabetic operation group, the diabetic sham operation group, and the diabetic control group (P<0.05), while there were no significant differences between the diabetic operation group, diabetic sham operation group, and the diabetic control group on week 8 after operation (P>0.05).ConclusionExpression of E3 ubiquitin ligase—MG53 protein in skeletal muscle tissue in T2DM rats following GBP is decreased, thus reduces the IRS-1 ubiquitin-degradation, increase the expression of IRS-1 protein in insulin signaling pathway of skeletal muscle tissue, and improve insulin resistance of skeletal muscle.
ObjectiveTo explore the risk factors affecting occurrence of arteriosclerosis obliterans (ASO) for patients with type 2 diabetes mellitus (T2DM) and to develop a nomogram predictive model using these risk factors. MethodsA case-control study was conducted. The patients with T2DM accompanied with ASO and those with T2DM alone, admitted to the First Affiliated Hospital of Xinjiang Medical University from January 2017 to December 2022, were retrospectively collected according to the inclusion and exclusion criteria. The basic characteristics, blood, thyroid hormones, and other relevant indicators of the paitents in two groups were compared. The multivariate logistic regression analysis was used to identify the risk factors for the occurrence of ASO in the patients with T2DM, and then a nomogram predictive model was developed. ResultsThere were 119 patients with T2DM alone and 114 patients with T2DM accompanied with lower extremity ASO in this study. The significant differences were observed between the two groups in terms of smoking history, white blood cell count, neutrophil count, lymphocyte count, platelet count, systemic immune-inflammation index, systemic inflammatory response index (SIRI), high-density lipoprotein cholesterol, apolipoprotein A1 (ApoA1), apolipoprotein α (Apoα), serum cystatin C, free-triiodothyronine (FT3), total triiodothyronine, FT3/total triiodothyronine ratio, fibrinogen (Fib), fibrinogen degradation products, and plasma D-dimer (P<0.05). Further the results of the multivariate logistic regression analysis revealed that the history of smoking, increased Fib level and SIRI value increased the probabilities of ASO occurrence in the patients with T2DM [OR (95%CI)=2.921 (1.023, 4.227), P=0.003; OR (95%CI)=2.641 (1.810, 4.327), P<0.001; OR (95%CI)=1.020 (1.004, 1.044), P=0.018], whereas higher levels of ApoA1 and FT3 were associated with reduced probabilities of ASO occurrence in the patients with T2DM [OR (95%CI)=0.231 (0.054, 0.782), P=0.021; OR (95%CI)=0.503 (0.352, 0.809), P=0.002]. The nomogram predictive model based on these factors demonstrated a good discrimination for predicting the ASO occurrence in the T2DM patients [area under the receiver operating characteristic curve (95%CI)=0.788 (0.730, 0.846)]. The predicted curve closely matched the ideal curve (Hosmer-Lemeshow goodness-of-fit test, χ2=5.952, P=0.653). The clinical decision analysis curve showed that the clinical net benefit of intervention based on the nomogram model was higher within a threshold probability range of 0.18 to 0.80 compared to no intervention or universal intervention. ConclusionsThe analysis results indicate that T2DM patients with a smoking history, elevated Fib level and SIRI value, as well as decreased ApoA1 and FT3 levels should be closely monitored for ASO risk. The nomogram predictive model based on these features has a good discriminatory power for ASO occurrence in T2DM patients, though its value warrants further investigation.
Objective To analyze the risk factors of type 2 diabetes mellitus and establish BP neural network model for screening of type 2 diabetes mellitus based on particle swarm optimization (PSO) algorithm. Methods Inpatients with type 2 diabetes mellitus in the Department of Endocrinology of the Affiliated Hospital of Guangdong Medical University and the Second Affiliated Hospital of Guangdong Medical University between July 2021 and August 2022 were selected as the case group and healthy people in the Health Management Center of the Affiliated Hospital of Guangdong Medical University as the control group. Basic information and physical and laboratory examination indicators were collected for comparative analysis. PSO-BP neural network model, BP neural network model and logistic regression models were established using MATLAB R2021b software and the optimal screening model of type 2 diabetes mellitus was selected. Based on the optimal model, the mean impact value algorithm was used to screen the risk factors of type 2 diabetes mellitus. Results A total of 1 053 patients were included in the case group and 914 healthy peoples in the control group. Except for type of salt, family history of comorbidities, body mass index, total cholesterol, low density lipoprotein cholesterol and staple food intake (P>0.05), the other indexes showed significant differences between the two groups. The performance of the PSO-BP neural network model outperformed the BP neural network model and the logistic regression model. Based on PSO-BP neural network model, the mean impact value algorithm showed that the risk factors for type 2 diabetes mellitus were fasting blood glucose , heart rate, age , waist-arm ratio and marital status , and the protective factors for type 2 diabetes mellitus were high density lipoprotein cholestero, vegetable intake, residence, education level, fruit intake and meat intake. Conclusions There are many influencing factors of type 2 diabetes mellitus. Focus should be placed on high-risk groups and regular disease screening should be carried out to reduce the risk of type 2 diabetes. The screening model of PSO-BP neural network performs the best, and it can be extended to the early screening and diagnosis of other diseases in the future.