摘要:目的:研究高血压病患者过氧化物酶体增殖物激活受体(PPAR)γ2基因Pro12Ala多态性与血糖水平之间的关系。方法:纳入177名原发性高血压患者,其中空腹血糖(FBG)lt;5.6 mmol/L组65例, FBG≥5.6 mmol/L组112例,收集一般资料;分别测定空腹及餐后2小时血糖、胰岛素;对PPARγ2 基因Pro12Ala多态性与各临床变量的关系进行研究。结果:FBGlt;5.6 mmol/L组和FBG≥5.6 mmol/L组Pro和Ala等位基因频率分别为0.333,0.034及0.602,0.031;PP和PA基因型频率分别为0.299,0.068及0.571,0.062;无AA型纯合子。以体重指数(BMI)分层后,BMIlt;25组内,FBG与PPARγ2基因型相关（P=0.029)。以基因型分组比较,PA组空腹血糖水平和胰岛素抵抗指数都低于PP组(Plt;0.05)。结论:成都地区高血压患者PPARγ2基因Pro12Ala多态性与空腹血糖水平相关,且携带Ala基因者空腹血糖水平较低,胰岛素抵抗较轻,推测该突变可能有减轻高血压病患者胰岛素抵抗,改善糖代谢异常的作用。Abstract: Objective:To study the association between the Pro12Ala polymorphism in peroxisome proliferatorsactivated receptorγ2 ( PPARγ2 ) gene and blood glucose levels in patients with primary hypertension. Methods：The Pro12Ala polymorphism in PPARγ2 was determined by polymerase chain reactionrestriction fragment length polymorphism (PCRRELP) in 177 subjects with primary hypertension of the Han people in Chengdu of China, including 65 subjects with fasting blood glucose (FBG)lt;5.6 mmol/L and 112 subjects with FBG≥5.6 mmol/L; the clinical characteristics including height, weight, OGTT(0h and 2h) of the subjects were detected and the realationship between the Pro12Ala polymorphism and the clinical characteristics were analysed. Results: The allele frequencies in the group with FBGlt;5.6 mmol/L and FBG≥5.6 mmol/L were 0.333, 0.602 for Pro and 0.034, 0.031 for Ala. The genotype frequencies were 0.299, 0.571 for PP and 0.068, 0.062 for PA, and there was no AA. In the group with BMIlt;25, the Pro12Ala polymorphism was associated with FBG （P=0.029). the Ala allele had a negative relationship to the FPG and insulin resistance index (IRI) (Plt;0.05).Conclusion: The data showed that the Pro12Ala polymorphism was associated with FBG., and The allele Ala probably had benefits to glycometabolic disturbance in patients with primary hypertension by declining insulin resistance.
ObjectiveTo understand the relation between blood glucose regulating hormones and gastric cancer, so as to provide some new ideas for diagnosis and treatment of gastric cancer. MethodBy reviewing and screening relevant domestic and foreign literatures, the latest researches on the relation between blood glucose regulating hormones and gastric cancer were summarized. ResultsThe insulin, glucagon, adrenaline, growth hormone, and the other blood glucose regulating hormones all played the roles in promoting the occurrence and development of gastric cancer. However, glucocorticoids and somatostatin were protective hormones that maintained gastric homeostasis and inhibited the proliferation of gastric cancer cells. ConclusionBlood glucose regulating hormones play some roles in diagnosis and treatment of gastric cancer, but specific mechanisms such as interaction between blood glucose regulating hormones, role of glucose metabolism in biological behavior of gastric cancer, and effect of blood glucose regulating hormones on oncogene initiation are unclear, so prospective clinical control studies still need to be studied.
Existing near-infrared non-invasive blood glucose detection modelings mostly detect multi-spectral signals with different wavelength, which is not conducive to the popularization of non-invasive glucose meter at home and does not consider the physiological glucose dynamics of individuals. In order to solve these problems, this study presented a non-invasive blood glucose detection model combining particle swarm optimization (PSO) and artificial neural network (ANN) by using the 1 550 nm near-infrared absorbance as the independent variable and the concentration of blood glucose as the dependent variable, named as PSO-2ANN. The PSO-2ANN model was based on two sub-modules of neural networks with certain structures and arguments, and was built up after optimizing the weight coefficients of the two networks by particle swarm optimization. The results of 10 volunteers were predicted by PSO-2ANN. It was indicated that the relative error of 9 volunteers was less than 20%; 98.28% of the predictions of blood glucose by PSO-2ANN were distributed in the regions A and B of Clarke error grid, which confirmed that PSO-2ANN could offer higher prediction accuracy and better robustness by comparison with ANN. Additionally, even the physiological glucose dynamics of individuals may be different due to the influence of environment, temper, mental state and so on, PSO-2ANN can correct this difference only by adjusting one argument. The PSO-2ANN model provided us a new prospect to overcome individual differences in blood glucose prediction.
ObjectiveTo explore the prognostic value of fasting blood glucose concentration in patients with newly diagnosed lung cancer.MethodsThe clinical data of 956 patients with lung cancer who were first diagnosed at West China Hospital of Sichuan University between January 2008 and December 2011 were retrospectively analyzed. The patients were followed up for more than 5 years. Using the fasting blood glucose concentration of 6.1 mmol/L as the cut-off value, the patients were divided into the hyperglycemia group and the control group. Kaplan-Meier method was used for survival analysis, and log-rank test was used to analyze the survival of different groups. Univariate and multivariate Cox proportional hazard models were used to evaluate the prognostic variables.ResultsThere were 166 patients in the hyperglycemia group with a 5-year overall survival rate of 23.5%, and 790 patients in the control group with a 5-year survival rate of 30.8%, and the difference between the two groups was statistically significant (P=0.008). Univariate Cox proportional hazard analysis found that blood glucose concentration, gender, age, smoking history, staging, and whether surgery were factors that affected the 5-year survival rate of patients (P<0.05); multivariate Cox proportional hazard analysis showed that blood glucose concentration [hazard ratio (HR)=1.235, 95% confidence interval (CI) (1.013, 1.504), P=0.036], age [HR=1.305, 95%CI (1.110, 1.534), P=0.001], smoking history [HR=1.210, 95%CI (1.033, 1.418), P=0.018], staging [HR=1.546, 95%CI (1.172, 2.040), P=0.002], and whether surgical treatment [HR=0.330, 95%CI (0.257, 0.424), P<0.001] were independent factors which influenced 5-year survival rate. Blood glucose concentration, age, smoking history, and staging were independent risk factors.ConclusionFasting blood glucose concentration is able to be a prognostic factor for patients with newly diagnosed lung cancer.
Objective To investigate the long-term dynamic changes of liver function and glucose-lipid metabolism in human immunodeficiency virus (HIV)-infected patients with metabolic dysfunction-associated fatty liver disease (MAFLD) after antiretroviral therapy (ART). Methods HIV-infected patients who visited Public Health Clinical Center of Chengdu between October 1st, 2012 and June 30th, 2013 were recruited and divided into two groups according to whether they had MAFLD or not. All of them were treated with the first-line regimen of tenofovir + lamivudine + efavirenz for 156 weeks, and the anthropometric indices, liver function, and levels of glucose, lipids and uric acid were measured at baseline and at each follow-up time point. In addition, the long-term dynamic characteristics of liver function and glucose and lipid metabolism parameters of the two groups were compared during the 156 weeks of ART treatment. Results A total of 61 male HIV-infected patients were enrolled. The prevalence of MAFLD in them was 31.1% (19/61) at baseline and increased by 4.9 percentage points per year after ART. Before the start of follow-up (week 0), the levels of alanine aminotransferase (ALT) [(46.23±27.09) vs. (28.00±17.43) U/L, P=0.002] and γ-glutamyl transpeptidase (GGT) [(41.46±9.89) vs. (24.02±10.72) U/L, P<0.001] were higher in the MAFLD group than those in the non-MAFLD group, while the between-group differences in the levels of aspartate aminotransferase (AST) [(33.33±15.61) vs. (28.98±12.43) U/L, P=0.248] and alkaline phosphatase [(85.30±21.27) vs. (83.41±24.47) U/L, P=0.773] were not statistically significant. During the 156-week follow-up period, the 4 items of liver function gradually increased in the MAFLD group, especially from week 120 onwards, 3 of which (ALT, AST and GGT) were significantly higher than those in the non-MAFLD group (P<0.05). In addition, the levels of fasting blood glucose, triglyceride, total cholesterol, and low-density lipoprotein were also significantly higher in the MAFLD group than those in the non-MAFLD group at some time points during the 156-week follow-up period (P<0.05). Conclusions Compared with HIV-infected patients without MAFLD, HIV-infected patients with MAFLD are more likely to develop impaired liver function and disorders of glucose and lipid metabolism during long-term tenofovir + lamivudine + efavirenz regimen ART treatment. Therefore, close clinical monitoring of liver function and glucose and lipid metabolism related parameters is required for such patients.
The use of non-invasive blood glucose detection techniques can help diabetic patients to alleviate the pain of intrusive detection, reduce the cost of detection, and achieve real-time monitoring and effective control of blood glucose. Given the existing limitations of the minimally invasive or invasive blood glucose detection methods, such as low detection accuracy, high cost and complex operation, and the laser source's wavelength and cost, this paper, based on the non-invasive blood glucose detector developed by the research group, designs a non-invasive blood glucose detection method. It is founded on dual-wavelength near-infrared light diffuse reflection by using the 1 550 nm near-infrared light as measuring light to collect blood glucose information and the 1 310 nm near-infrared light as reference light to remove the effects of water molecules in the blood. Fourteen volunteers were recruited for in vivo experiments using the instrument to verify the effectiveness of the method. The results indicated that 90.27% of the measured values of non-invasive blood glucose were distributed in the region A of Clarke error grid and 9.73% in the region B of Clarke error grid, all meeting clinical requirements. It is also confirmed that the proposed non-invasive blood glucose detection method realizes relatively ideal measurement accuracy and stability.
Most of the existing near-infrared noninvasive blood glucose detection models focus on the relationship between near-infrared absorbance and blood glucose concentration, but do not consider the impact of human physiological state on blood glucose concentration. In order to improve the performance of prediction model, particle swarm optimization (PSO) algorithm was used to train the structure paramters of back propagation (BP) neural network. Moreover, systolic blood pressure, pulse rate, body temperature and 1 550 nm absorbance were introduced as input variables of blood glucose concentration prediction model, and BP neural network was used as prediction model. In order to solve the problem that traditional BP neural network is easy to fall into local optimization, a hybrid model based on PSO-BP was introduced in this paper. The results showed that the prediction effect of PSO-BP model was better than that of traditional BP neural network. The prediction root mean square error and correlation coefficient of ten-fold cross-validation were 0.95 mmol/L and 0.74, respectively. The Clarke error grid analysis results showed that the proportion of model prediction results falling into region A was 84.39%, and the proportion falling into region B was 15.61%, which met the clinical requirements. The model can quickly measure the blood glucose concentration of the subject, and has relatively high accuracy.
ObjectiveTo investigate the change of blood glucose and its clinical significance in patients with acute pancreatitis (AP). MethodsThe regularity of blood glucose change and the relation between the regularity and the prognosis were analyzed in 115 patients with AP and hyperglycemia.ResultsBlood glucose was increased with a median (M) of 8.7 mmol/L，18.45 mmol/L and 27.22 mmol/L, which gradually decreased to normal value within 3-17 days, 7-26 days and 24-46 days after treatment,respectively in patients with mild AP, type Ⅰ of severe acute pancreatitis (SAP) and type Ⅱ of SAP. There was marked statistical difference among the three groups. A smaller dose of regular insulin was used for 36 patients with mild AP; however, a larger dose of regular insulin was used for all 30 patients with SAP.ConclusionThe level of blood glucose, the dose of regular insulin and the duration of hyperglycemia increase with the severity of AP.
Objective To investigate the application effect of ndividualized dietary care based on a multidisciplinary collaboration model on glycemic control, neurological recovery, dietary self-management, and satisfaction in stroke patients with abnormal blood glucose. Methods Patients with stroke and abnormal blood glucose admitted to the Department of Neurology, Shangjin Hospital, West China Hospital, Sichuan University between March and October 2024 were enrolled. Using SPSS 26.0 software, a random allocation sequence was generated to divide participants into an observation group and a control group. The control group received comprehensive nursing interventions, while the observation group received additional multidisciplinary collaboration model based individualized dietary care. Both groups were intervened until discharge. Glycemic indicators [glycated albumin (GA), fasting blood glucose (FBG), 2-hour postprandial blood glucose (2hPG)], neurological recovery, dietary adherence, and patient satisfaction were compared pre-intervention and post-intervention (at discharge). Results A total of 112 patients were included, with 56 patients in each group. At the post-intervention stage, GA, FBG and 2hPG in the observation group were lower than those in the control group (P<0.05), and the scores of the Dietary Compliance Scale for Type 2 Diabetes were higher than those in the control group (P<0.05). Except for admission (3.27±0.86 vs. 3.25±0.90, P＞0.05), the modified Rankin Scale scores of the observation group were lower than those of the control group at discharge (3.14±0.86 vs. 3.17±0.86), 30-days follow-up (2.93±0.76 vs. 3.02±0.84), and 90-days follow-up (1.05±0.80 vs.1.43±1.01) (P<0.05). The comparison results within the group showed that, there were significant differences in GA, FBG, 2hPG, modified Rankin Scale scores and Dietary Compliance Scale for Type 2 Diabetes between admission and discharge (P<0.05). The satisfaction rate of the observation group was higher than that of the control group (97.78% vs. 86.76%; χ2=3.877, P=0.049). Conclusion Multidisciplinary collaboration model based individualized dietary care improves short-term glycemic control, promotes long-term neurological recovery, enhances dietary adherence, and increases patient satisfaction in stroke patients with abnormal blood glucose, demonstrating clinical value for widespread application.
ObjectiveTo explore the relationship between blood glucose variability index and persistent organ failure (POF) in acute pancreatitis (AP). MethodsWe prospectively included those patients who were diagnosed with AP with hyperglycemia and were hospitalized in the West China Center of Excellence for Pancreatitis of West China Hospital of Sichuan University from July 2019 to November 2021. The patients were given blood glucose monitoring at least 4 times a day for at least 3 consecutive days. The predictive value of blood glucose variability index for POF in patients with AP was analyzed. ResultsA total of 559 patients with AP were included, including 95 cases of POF. Comparing with those without POF, patients with AP complicated by POF had higher levels of admission glucose (11.0 mmol/L vs. 9.6 mmol/L), minimum blood glucose (6.8 mmol/L vs. 5.8 mmol/L), mean blood glucose (9.6 mmol/L vs. 8.7 mmol/L), and lower level of coefficient of variation of blood glucose (16.6 % vs. 19.0 %), P<0.05. Logistic regression analyses after adjustment for confounding factors showed that the risk of POF increased with the increase of admission glucose [OR=1.11, 95%CI (1.04, 1.19), P=0.002], minimum blood glucose [OR=1.28, 95%CI (1.10, 1.48), P=0.001] and mean blood glucose [OR=1.18, 95%CI (1.04, 1.33), P=0.010]; with the higher level of coefficient of variation of blood glucose [OR=0.95, 95%CI (0.92, 0.99), P=0.021], the risk of POF decreased. The results of area under the curve (AUC) of the receiver operator curves showed that AG [AUC=0.787, 95%CI (0.735, 0.840)] had the highest accuracy in predicting POF, with sensitivities of 60.0% and specificities of 84.7%. ConclusionHigh admission glucose, minimum blood glucose, mean blood glucose, and low coefficient of variation of blood glucose were risk factors for the development of POF in patients with hyperglycemic AP on admission.