Objective To compare the condition of the structure and oxidative stress of great saphenous vein grafts between the patients with and without type 2 diabetes mellitus, and to study the mechanisms for providing the theory evidence ofthe protective way for great saphenous vein graft in patients with type 2 diabetes mellitus. Methods The segments of human great saphenous vein graft were collected from 36 patients undergoing coronary artery bypass graft surgery, who were divided into 2 groups, experimental group (17 patients with type 2 diabetes mellitus) and control group (19 patients without type 2 diabetes mell itus). There was no significant difference in age, gender, hypertension, serum creatinine, hyperl ipidemia, smoking, and the number of pathological coronary arteries between 2 groups (P gt; 0.05). Two cm distal great saphenous vein from each patient was obtained. The structure of great saphenous vein was observed by the microscope, and nicotinamide adenine dinucleotide phosphate (NADPH) oxidase enzymatic activity and superoxide anion level were quantified by lucigenin-enhanced chemilumi nescence. Results The NADPH oxidase activity and superoxide anion levels were significantly higher in experimental group [(308.8 ± 33.7) counts/μg and (1 951.71 ± 355.2) counts/(min.mg)] than in control group [(202.7 ± 29.5) counts/μg and (1 230.73 ± 340.5) counts/(min.mg)] (P lt; 0.05). HE staining showed the damage of ultrastructure of great saphenous vein endothel ium in experimental group, including necrosis and exfol iation of endoepithel ial cells, spl itting of the basement membrane, thickened lower layer of the endothelium with vacuoles and deformed vascular smooth muscle cells; however, integrated vessel intima was observed in control group.
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.
Objective To assess the improvement of different resistance training regimens on blood lipid metabolism and insulin resistance in patients with type 2 diabetes mellitus (T2DM). Methods PubMed, ProQuest, Embase, Web of Science, China National Knowledge Infrastructure, Wanfang, and VIP databases were searched to collect randomized controlled trials of resistance training intervention to improve blood lipids and insulin resistance in patients with T2DM. The search time range was from the establishment of the databases to May 2023. Two reviewers assessed the risk of bias of the included studies using the Physiotherapy Evidence Database scale, and performed a network meta-analysis of the extracted data using Stata 16.0 software. Results In the end, 24 articles were included, and a total of 983 participants were enrolled. The result of network meta-analysis showed that high-frequency and moderate-intensity resistance exercise significantly improved the levels of insulin resistance [standardized mean difference=?1.71, 95% confidence interval (CI) (?2.75, ?0.67)], triglycerides [weighted mean difference (WMD)=?0.27 mmol/L, 95%CI (?0.51, ?0.04) mmol/L], and total cholesterol [WMD=?0.16 mmol/L, 95%CI (?0.20, ?0.12) mmol/L], but had no significant effect on improving the level of high-density lipoprotein [WMD=0.05 mmol/L, 95%CI (?0.02, 0.11) mmol/L] or low-density lipoprotein [WMD=?0.20 mmol/L, 95%CI (?0.42, 0.03) mmol/L]. The results of cumulative probability ranking showed that high-frequency and moderate-intensity resistance exercise was the best in improving insulin resistance, triglycerides, high-density lipoprotein and low-density lipoprotein levels. Conclusion Based on current evidence, high-frequency and moderate-intensity resistance exercise may be the best resistance exercise regimen to improve insulin resistance and lipid metabolism in patients with T2DM.
摘要:目的：探討低血糖指數膳食干預對2 型糖尿病病人營養治療效果的影響。方法：選擇住院2 型糖尿病病人109例,隨機分為營養組56例和對照組53例。營養組由營養師根據患者情況提供低血糖指數營養治療飲食,對照組則自行控制飲食。分別于住院第1天與3個月復查時對兩組患者進行膳食調查及相關生化指標測定, 以觀察營養治療的效果。結果:采用干預措施后, 兩組空腹血糖、餐后2 h血糖、糖化血紅蛋白、血清膽固醇、甘油三酯等生化指標均降低, 但營養組與對照組相比效果更為明顯(P＜005)；營養組的飲食結構更為合理。結論：低血糖指數膳食可有效控制2 型糖尿病病人的血糖、血脂水平,對促進患者康復有積極意義。Abstract: Objective: To observed the effect of nutrition therapy of low glycemic index foods on type 2 diabetic patients. Methods: A total of 109 subjects with the hospitalized diabetes were randomly allocated into two groups: The nutrition group(56 cases) were provided with weighed individual low glycemic index foods and the control group(53 cases) went on diet dominated by themselves. patients in both groups were investigated on meals, diabetic nutrition knowledge and were detected for correlative biochemical indices. Results：After the nutrition treatment, patients biochemical indices of fasting bloodglucose, blood sugar 2 hours after meal, hemoglobin of glycosylation, cholesterol and triglyceride in serum in both groups were significantly lower. Compared with the control group, the effect of the nutrition group was even better. The acknowledgement rate of nutrition knowledge on diabetes of the nutrition group improved significantly, and their meals were more scientifically arranged. Conclusion: The nutrition therapy of low glycemic index foods would be very helpful for type 2 diabetic patients to control their bloodsugar level and improve the nutritional state and outcome.
Objective To explore the relationship between the triglyceride glucose-body mass index (TyG-BMI) and hypertension, type 2 diabetes, as well as their comorbidity, aiming to provide a scientific basis for the early identification and precise prevention of these three diseases. Methods This research collected data from subjects in the China Health and Retirement Longitudinal Study (CHARLS) database. According to the quartiles of TyG-BMI, the included subjects were divided into Q1 group, Q2 group, Q3 group, and Q4 group. Logistic regression was used to analyze the association between the TyG-BMI and the three diseases separately. Further, a restricted cubic spline model was employed to investigate the potential non-linear dose-response relationship between the TyG-BMI index and the three diseases. Subgroup analysis was conducted using interaction tests to investigate whether there was an interaction between TyG-BMI and subgroup factors such as age and gender. Results A total of 4 847 participants were included. There were 1 212 cases in Q1 group, 1 212 cases in Q2 group, 1 211 cases in Q3 group, and 1 212 cases in Q4 group. The logistic regression results indicate that, after adjusting for all confounding factors, participants in the Q4 group had a higher risk of developing type 2 diabetes, hypertension, and comorbidity of hypertension and type 2 diabetes in Model 3 (P<0.05). The results from the restricted cubic spline model demonstrated a linear relationship between the TyG-BMI index and the risk of type 2 diabetes (P for non-linearity >0.05), while a non-linear relationship was observed with hypertension (P for non-linearity <0.05) and the comorbidity of hypertension and type 2 diabetes (P for non-linearity <0.05). Subgroup analysis using interaction tests showed that compared to the Q1 group, factors such as age, gender, smoking, alcohol consumption, and dyslipidemia in the Q2, Q3, and Q4 groups did not significantly alter the relationship between TyG-BMI and type 2 diabetes, hypertension, and their comorbidity. Overall, there was no significant interaction between TyG-BMI and factors like age, gender, smoking, alcohol consumption, and dyslipidemia (P for interaction >0.05). Conclusions In middle-aged and elderly populations, the higher the TyG-BMI, the greater the risk of hypertension, type 2 diabetes, and their comorbidity. The TyG-BMI could be considered an important indicator for the early identification of hypertension, type 2 diabetes, and their comorbidities.
Objective To assess the efficacy and safety of glimepiride for type 2 diabetes mellitus (T2DM). Methods We searched the literature from PubMed, Ovid (All EBM Reviews), CNKI, Wanfang, VIP, CBM and other databases. Evaluating the quality of the study according to Cochrane systematic reviews, Meta-analysis was performed for the results of homogeneous studies by The Cochrane Collaboration’s software RevMan 5.0, and the heterogeneous data conducted a descriptive qualitative analysis. Results Six RCTs included in the analysis and Meta-analysis was not performed due to the insufficient data (for the median or standard deviation). Six RCTs are multi-center, randomized, double-blind, placebo-controlled trials. The results showed that glimepiride groups to reduce glycosylated hemoglobin, lower fasting and postprandial blood glucose, postprandial plasma insulin enhance the efficacy were statistically significant differences (Plt;0.05) compared to placebo groups. Four studies informed the impact of fasting plasma insulin (FI) and 3 studies showed that the glimepiride groups improving the fasting plasma insulin (FI) were statistically significant differences (Plt;0.05), but 1 study showed the two groups had no significant difference (Pgt;0.05). All studies showed minor adverse reactions of glimepiride. Conclusion Glimepiride can reduce the glycosylated hemoglobin, lower the fasting and postprandial blood glucose, improve fasting and postprandial plasma insulin for type 2 diabetes patients, and have minor adverse reactions. In a word, glimepiride is an effective and security sulfonylureas drug.