ObjectiveTo investigate the effect of the remnant stomach after gastric bypass (GB) surgery on the weight loss and glucose metabolism in rats with obese and type 2 diabetes mellitus (T2DM).MethodsHigh fat feeding for one month combined with intraperitoneal injection of low-dose streptozotocin was used to induce obese rats with T2DM. Twenty-four rats with obese and type T2DM successfully established were randomly divided into resectional gastric bypass (R-GB) group, GB surgery (GB group), and sham operation (SO) group, eight rats in each group. The weight loss and anti-diabetic effect of the R-GB and GB were compared. Body weight, food intake, and fasting blood glucose (FBG) were measured at week 1 before operation and week 1–8 after the operation. Oral glucose tolerance test (OGTT) and insulin tolerance test (ITT) were performed using tail venous blood at week 1 before operation and on week 8 after operation (at 0, 30, 60, 90, and 120 min). The levels of serum glucagon like peptide-1 (GLP-1), gastrin, insulin, and glucagon at week 1 before operation and at week 8 after operation were detected, meanwhile the homeostasis model assessment insulin resistance (HOMA-IR) index was calculated.Results① The body weight and food intake of the rats in the R-GB group and GB group were lower than those in the SO group after operation (P<0.05) and which were lower than before operation (P<0.05), but the differences were not significant between the R-GB group and GB group after operation (P>0.05). ② The levels of FBG in the R-GB group only at week 1–4 after operation were lower than those before operation (P<0.05), while which in the GB group at week 1–8 after operation were lower than those before operation and were lower than in the SO group (P<0.05), but which in the R-GB group only at week 2–4 after operation were lower than in the SO group and which were higher than that in the GB group from 3 to 8 weeks after operation (P<0.05). ③ The area under receiver operating characteristic curves (AUCs) of blood glucoses of OGTT and ITT and HOMA-IR index at week 8 after operation were lower than those before operation (P<0.05) in the GB group and which were lower than those the other two groups (P<0.05). ④ The AUC of gastrin level at week 8 after operation was lower than that before operation in the R-GB group and which lower than that in the other two groups (P<0.05). The AUC values of insulin and glucagon levels at week 8 after operation were lower than those before operation in the GB group and which lower than those in the other two groups (P<0.05). The AUC of GLP-1 level at week 8 after operation was higher than that before operation in the GB group and which higher than that in the other two groups (P<0.05).ConclusionsGB could remarkably improve glucose metabolism and weight loss in obese rat with T2DM. Gastric remnant gastrectomy following GB has a remarkable anti-diabetic effect, but it doesn’t effect on weight loss.
ObjectiveTo investigate effects of sleeve gastrectomy (SG)-transit bipartition (SG-TB) and simple SG on bariatric and anti-diabetic and protective effect on esophagus reflux. MethodsA total of 36 male Sprague-Dawley rats were used to successfully induce the obesity with type 2 diabetes mellitus (T2DM) model by dietary feeding and receiving intraperitoneal injection of streptozotocin (35 mg/kg), then were randomly averagely divided into SG, SG-TB, and sham operation (SO) groups according to the surgical methods, and 8 rats from each procedure were randomly selected and included to use for experimental observation. The observation period was 12 weeks. The changes of terminal esophageal mucosa were observed at the 12th week after operation. The body weight and food intake were measured every 2 weeks after operation. The fasting blood glucose (FBG), oral glucose tolerance test (OGTT) and insulin tolerance test (ITT) blood glucose levels were measured before operation and at the 4th and 12th week after operation. And the changes of glucagon like peptide-1 (GLP-1) and insulin levels were measured before operation and at the 12th week after operation. ResultsThere were no significant differences in all indexes among the 3 groups before operation (P>0.05). ① No esophageal papillomatosis was observed in the SG-TB group at the 12th week after operation, but more severe esophageal papillomatosis was observed in the SG group, and the mucosal height in the SG-TB group was lower than that in the SG group (P<0.05). ② From the 4th week after operation, the body weight and food intake of the SG-TB group and SG group were lower than the SO group (P<0.05), and their changes of these two groups over time were generally stable. While no significant difference was found in the reduction of body weight between the SG-TB group and the SG group (P>0.05), however the food intakes of the SG-TB group were higher than the SG group at the 10th and 12th week after operation (P<0.05). ③ The levels of FBG, OGTT and ITT blood glucoses in the SG-TB group and SG group were lower than in the SO group at the 4th and 12th week after operation (P<0.05) and remained stable after operation. However, no significant difference was found in the FBG and ITT blood glucose level between the SG-TB group and the SG group (P>0.05), while the level of OGTT blood glucose in the SG-TB group was lower than that in the SG group at the 12th week after operation (P<0.05). ④ The levels of GLP-1 in the SG-TB group and SG group were higher than in the SO group and still higher than before operation (P<0.05), while the insulin levels were lower than in the SO group and lower than before operation (P<0.05). ConclusionsFrom preliminary results of this study, change of terminal esophageal mucosa after SG-TB is weaker than that of SG operation, and it is found that SG-TB surgery shows a better trend in blood glucose control as compared with SG operation. However, due to the limitations of sample size, further research and anti-reflux effect of SG-TB operation still need to be verified.
Patients with type 2 diabetes mellitus often face significant treatment burden, which substantially impacts their quality of life and health outcomes. Reducing treatment burden represents a critical component for improving patient prognosis and enhancing treatment adherence. Based on the cumulative complexity model, this article systematically examines the conceptual connotation and multidimensional characteristics of treatment burden in type 2 diabetes mellitus patients, explores the theoretical extension and application value of cumulative complexity model in the type 2 diabetes mellitus field, elucidates its specific applications and recent advances in treatment burden research, evaluates the limitations of existing assessment tools while proposing a multidimensional assessment framework, and ultimately develops cumulative complexity model based intervention strategies. The findings provide theoretical references for optimizing patient-centered diabetes management approaches and offer novel perspectives for treatment burden intervention.
Objective To investigate the clinical characteristics and pathogen distribution of community-acquired pneumonia (CAP) combined with type 2 diabetes mellitus (T2DM), based on bronchoalveolar lavage fluid (BALF) metagenomic next-generation sequencing (mNGS) test. Methods In this cross-sectional study, CAP patients with BALF mNGS test were screened from April 2023 to April 2024. The patients were divided into a single CAP group (CAP group) and a CAP combine with T2DM group (CAP+T2DM group). The data of demographics, underlying diseases, complications, and laboratory tests including blood routine, inflammatory parameters, liver and renal functions, random blood glucose (RGB), hemoglobin A1C (HbA1c), and BALF mNGS tests were collected and compared between the two groups. Results Ultimately, 86 patients were included, with 45 in the CAP group and 41 in the CAP+T2DM group. Compared with the CAP group, the CAP+T2DM group had higher platelet count [(272.44±128.57)×109/L vs. (215.00±100.06)×109/L], erythrocyte sedimentation rate [(75.63±35.19) vs. (59.69±34.47) mm/h], RGB [10.8 (9.1, 13.5) vs. 6.5 (5.8, 7.8) mmol/L], HbA1c [8.2% (7.3%, 8.5%) vs. 5.7% (5.5%, 6.1%)], and fungi infection rate (65.9% vs. 40.0%), and the differences were statistically significant between the two groups (P<0.05). Conclusion CAP patients with T2DM have increased levels of platelet and erythrocyte sedimentation rate, and are at higher risk for fungi infection, which potentially leads to worse outcome.
Objective To construct, validate and evaluate a nomogram prediction model based on triglyceride-glucose index for predicting the risk of type 2 diabetes mellitus (T2DM) in patients with obstructive sleep apnea (OSA). Methods A total of 414 patients diagnosed with OSA who were hospitalized in the Second Affiliated Hospital of Kunming Medical University from July 2013 to July 2023 were retrospectively analyzed. They were randomly divided into training set (n=289) and validation set (n=125) at a ratio of 7:3 using R software. In the training set, univariate logistic regression, best subsets regression (BSR) and multivariate Logistic regression were used to determine the independent predictors of OSA combined with T2DM and construct a nomogram. The area under the receiver operating characteristic curve (AUC), calibration curve, Hosmer-Lemeshow goodness of fit test, decision curve analysis (DCA) and clinical impact curve (CIC) were used to evaluate the discrimination, calibration and clinical applicability of the nomogram prediction model. Finally, the internal validation of the nomogram prediction model was carried out on the validation set. Results In the training set, the results of univariate logistic regression, BSR and multivariate logistic regression analysis showed that hypertension (OR=2.413, 95%CI 1.276-4.563, P=0.007), apnea hypopnea index (OR=1.034, 95%CI 1.014-1.053, P=0.001), triglyceride-glucose index( OR=12.065, 95%CI 5.735-25.379, P<0.001), triglyceride/high density lipoprotein cholesterol (OR=0.736, 95%CI 0.634-0.855, P<0.001) were independent predictors of T2DM in OSA patients. A nomogram prediction model was constructed based on the above four predictors. In the training set and validation set, the AUC, sensitivity, and specificity of the nomogram prediction model for predicting the risk of T2DM in OSA patients were 0.820 (95%CI 0.771-0.869), 75.7%, 75.9% and 0.778 (95%CI 0.696-0.861), 74.5%, 73.0%, respectively, indicating that the nomogram had good discrimination. The calibration curve showed that the nomogram had a good calibration for predicting T2DM in OSA patients. DCA and CIC also showed that the nomogram prediction model had certain clinical utility. Conclusions A simple, fast and effective nomogram prediction model with good discrimination, calibration and clinical applicability was successfully constructed, validated and evaluated. It can be used to predict the risk of T2DM in OSA patients and help clinicians to identify patients with high risk of T2DM in OSA patients.
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.
Sleeve gastrectomy with transit bipartition (SG-TB) was a novel bariatric and metabolic surgery that had received preliminary approval for its effectiveness and safety in reducing weight, improving diabetes, and other metabolic diseases. It showed promising prospects in clinical applications. However, SG-TB also faced some challenges including a small number of cases, insufficient clinical evidence, issues with anastomotic stoma and common channel design, bile reflux, gastroesophageal reflux disease, and malnutrition. Further research is needed to enhance the standardization of SG-TB procedures and provides reference for its wider implementation.
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: 觀察格列美脲對2型糖尿病患者心血管的保護作用并探討其可能的機制。 方法 :112例T2DM患者隨機分為格列美脲組(格列美脲+二甲雙胍)和對照組(格列本脲+二甲雙胍),觀察治療前后兩者空腹及餐后兩小時血糖(FBG,2hPBG)、糖化血紅蛋白(HbA1c)、空腹胰島素(FINS)、HOMA模型胰島素抵抗指數(HOMAIR)、甘油三脂(TG)、總膽固醇(TC)、高密度脂蛋白膽固醇(HDLC)、低密度脂蛋白膽固醇(LDLC)、同型半胱氨酸(HCY)、血漿脂聯素的變化。 結果 :兩組患者的TC、LDLC、TG、FBG、2hPBG都較治療前降低,連續服用6個月以上格列美脲的T2DM患者其血漿HCY、HOMAIR、血糖水平明顯下降,血漿脂聯素水平明顯升高,與對照組相比差異有統計學意義(〖WTBX〗P lt;005)。 結論 :格列美脲能降低多項心血管危險因子水平,對血脂、HCY和動脈粥樣硬化都有良性調節作用,其作用基礎可能與改善胰島素抵抗,增加血漿脂聯素相關。Abstract: Objective: To observe the protective effects and to explore mechanisms of glimepiride on cardiovascular system of Type 2 Diabetes Mellitus. Methods : 112 patients with type 2 diabetes mellitus were randomly divided into treatment group (glimepiride combined with metformin) and control group (glibenclamide combined with metformin). The fasting blood glucose (FBG), 2hPBG, hemoglobin A1c (HbA1c), FINS, HOMAIR, blood lipid (TC, TG, LDLC and HDLC), HCY (homocysteine) and adiponectin were detected before and after treatment. Results : In all cases, the level of TC、LDLC、TG、FBG、2hPBG were decreased after treated with glimepiride or glibenclamide combined with metformin for 6 monthes. Moreover, the level of HCY, HOMAIR and blood glucose were decreased and the level of adiponectin was increased significantly than that of in control group (Plt;005). Conclusion : Glimepiride showed the effective on decreasing the risk factor of cardiovascular system disease with regulation of blood lipid, HCY, and improve the atherosclerosis. The effective of glimepiride on cardiovascular system was relation to improved the insulin resistance and increase the adiponectin.
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.