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.
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.
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.
Objective
To investigate the gastrin level in patients with type 2 diabetes mellitus (T2DM) with gastroesophageal reflux disease (GERD), and analyze the possible mechanism of gastrin in the pathogenesis of T2DM combined with GERD.
Methods
Thirty-eight patients with T2DM combined with GERD treated between January 2013 and January 2015 were designated as group A; 40 patients with T2DM only were regarded as group B; 36 patients with GERD only were regarded as group C; and another 40 healthy volunteers who underwent physical examination at the same period were regarded as group D. The fasting serum levels of gastrin were measured and compared among the above four groups.
Results
The fasting serum level of gastrin was significantly higher in group A [(116.53±22.02) pg/mL] than group B [(101.89±20.76) pg/mL], group C [(90.04±21.16) pg/mL], and group D [(92.48±19.69) pg/mL] (P<0.01). The fasting serum level of gastrin in group B was significantly higher than group C and D (P<0.05). There was no significant difference between group C and D in terms of fasting serum level of gastrin (P>0.05).
Conclusions
There is a high level of gastrin in patients with GERD combined with T2DM. Abnormal secretion of gastrin may be closely related with the occurrence and development of T2DM and GERD.
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.
