ObjectiveTo systematically evaluate effect of metformin on prognosis of colorectal cancer patients with type 2 diabetes mellitus (T2DM).MethodsThe PubMed, Embase, Web of Science, Cochrane Library, CNKI, VIP, Wangfang, etc. databases for cohort studies over the past 10 years were systematically searched. The relationship between the metformin and the prognosis in the colorectal cancer patients with T2DM was assessed with RevMan 5.3 software.ResultsA total of 12 articles with 13 694 patients were included in this study, of which 9 069 patients treated by the metformin (metformin group) and 4 625 patients treated by the other antidiabetic agent (control group). The results of meta-analysis showed that the metformin group had higher over survival [HR=0.74, 95%CI (0.66, 0.82), P<0.000 01] and cancer-specific survival [HR=0.77, 95%CI (0.69, 0.86), P<0.000 01] as compared with the control group. The sensitivity analysis of the heterogeneity showed that the research results did not be changed when the study which might cause heterogeneity was excluded. ConclusionMetformin treatment could improve prognosis of colorectal cancer patients with T2DM and improve overall survival and cancer-specific survival.
Objective To explore mechanism of gastric bypass in treating obesity with type 2 diabetes mellitus (T2DM) and its relationship with c-Jun N-terminal kinase (JNK) signaling pathway. Methods The INS-1 cells were divided into 4 groups according to the different treatment: control group (complete medium), high glucose group (30 mmol/L glucose medium), exendin-4 group (high glucose+100 nmol/L exendin-4), and JNK agonist group (high glucose+100 nmol/L exendin-4+JNK agonist). When these cells were cultured on day 7, the cell activity was assessed by the MTT staining. The cell apoptosis was determined by the fluorescence microscopy analysis after the Hoechst/PI staining and flow cytometric assay after the Annexin V-FITC/PI staining. The expressions of the human immunoglobulin binding protein (Bip), CCAAT/enhancer-binding protein homologous protein (CHOP), P-SAPK/JNK, and caspase-3 protein were detected by the Western blot. Results Compared with the control group, the cell activities were significantly decreased (P<0.05), the cell apoptosis rates and the P-SAPK/JNK and caspase-3 protein expression levels were significantly increased (P<0.01) in the high glucose group and the JNK agonist group, but the Bip and CHOP protein expression levels were significantly increased (P<0.01) in the high glucose group. Compared with the high glucose group, the cell activity was significantly increased (P<0.05), the cell apoptosis rate and the Bip, CHOP, P-SAPK/JNK, and caspase-3 protein expression levels were significantly decreased (P<0.01) in the exendin-4 group, the Bip and CHOP protein expression levels were significantly decreased (P<0.01) in the JNK agonist group. Compared with the exendin-4 group, the cell activity was significantly decreased (P<0.05), the cell apoptosis rate and the P-SAPK/JNK and caspase-3 protein expression levels were significantly increased (P<0.01) in the JNK agonist group. Conclusion Gastric bypass can inhibit endoplasmic reticulum stress of pancreatic islet β-cells by regulating secretion of glucagon like peptide-1, thereby inhibiting JNK signaling pathway, protecting pancreatic islet β-cells and inhibiting apoptosis, so as to achieve effect of treating T2DM.
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.
摘要:目的：探讨低血糖指数膳食干预对2 型糖尿病病人营养治疗效果的影响。方法：选择住院2 型糖尿病病人109例,随机分为营养组56例和对照组53例。营养组由营养师根据患者情况提供低血糖指数营养治疗饮食,对照组则自行控制饮食。分别于住院第1天与3个月复查时对两组患者进行膳食调查及相关生化指标测定, 以观察营养治疗的效果。结果:采用干预措施后, 两组空腹血糖、餐后2 h血糖、糖化血红蛋白、血清胆固醇、甘油三酯等生化指标均降低, 但营养组与对照组相比效果更为明显(P＜005)；营养组的饮食结构更为合理。结论：低血糖指数膳食可有效控制2 型糖尿病病人的血糖、血脂水平,对促进患者康复有积极意义。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.
ObjectiveTo analyze the effect of type 2 diabetes (T2DM) on the short-term prognosis of patients with non-small cell lung cancer (NSCLC) after resection surgery.MethodsClinical data of 207 NSCLC patients who underwent resection surgery in our hospital from January 2016 to January 2019 were retrospectively analyzed. The 100 NSCLC patients with T2DM were allocated to a T2DM group (58 males and 42 females, with an average age of 65.26±7.26 years), and 107 patients without T2DM were allocated to a non-T2DM group (66 males and 41 females, with an average age of 64.21±7.51 years). The short-term prognosis of the patients was compared between the two groups.ResultsCompared with the non-T2DM group, the postoperative atelectasis (P=0.012) and pulmonary infection (P=0.040) were statistically different in the T2DM group. The postoperative complication rate in the T2DM group was significantly higher than that in the non-T2DM group (66.0% vs. 33.6%, P<0.001). The postoperative hospitalization time in the T2DM group was longer than that in the non-T2DM group (9.83±6.35 d vs. 8.09±4.40 d, P=0.007).ConclusionT2DM will increase the incidence of postoperative complications, prolong the length of hospital stay and increase the economic burden of the NSCLC patients, which is not conducive to the postoperative prognosis of patients.
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.
ObjectiveTo investigate the association between single nucleotide polymorphism (SNP) rs3754219 in the glucose transporters 1 (GLUT1) gene and genetic susceptibility to type 2 diabetes mellitus (T2DM) in Han population in Guangdong Province.MethodsA total of 1 092 T2DM patients (case group) and 1 092 healthy controls (control group) diagnosed or examined between November 2011 and October 2014 form 10 hospitals were enrolled in this study. SNPscanTM SNP classification technology was used to detect the polymorphism of rs3754219 of GLUT1 genetype. Finally, 1 067 T2DM patients and 1 054 healthy controls were included, removing 37 individuals with SNP typing deletion rates >20% and 26 individucals with failed SNP site genotyping. The differences in allele frequency distribution, genotype, and genetic models between the two groups were analyzed.ResultsAfter correction for age and body mass index, there was no statistically significant difference in allele frequency or polymorphism genotype frequency of rs3754219 (P>0.05). There was no statistically significant difference between the two groups under different genetic models (P>0.05).ConclusionGenetic susceptibility to T2DM in Han population in Guangdong Province may be unrelated to the GLUT1 rs3754219 SNP.
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.