Objective:To assess the influencing factors of glycemic control among type 2 diabetes mellitus (T2DM) patients, in particular the correlations between peripheral blood eosinophils and metabolic indicators such as glucose, lipids, and uric acid (UA) in these patients.Methods:T2DM patients who were regularly followed up in the Intensive Diabetes Mellitus Clinic of Peking Union Medical College Hospital from January 2016 to September 2024 were prospectively selected as the research subjects. The clinical data of these patients at their first visit and at the 3rd, 6th, 9th, and 12th months of follow-up were collected. The potential correlations of peripheral blood eosinophils with blood glucose control, lipid metabolism, UA metabolism, and inflammation as well as their influencing factors were analyzed.Results:A total of 161 T2DM patients were included. The glycated hemoglobin A1c (HbA1c) compliance rate was significantly higher during the follow-up visits (3, 6, 9, and 12 months) than baseline (all P<0.05) but showed no significant correlation with the count or percentage of peripheral blood eosinophils. Spearman correlation analysis showed that the percentage of peripheral blood eosinophils was negatively correlated with Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) ( P=0.049) and high-density lipoprotein cholesterol (HDL-C) ( P=0.002) and positively with serum triglyceride (TG) ( P=0.034) and UA levels ( P<0.001). A further linear regression model analysis of these four variables and the percentage of eosinophils revealed that the percentage of peripheral blood eosinophils was only linearly correlated with serum UA level ( P<0.001). Conclusion:The percentage of peripheral blood eosinophils in T2DM patients is independently correlated with serum UA level, and monitoring serum UA level is important in T2DM management. Early identification and intervention of hyperuricemia can help provide more comprehensive and precise medical interventions for T2DM patients.

Objective:To assess the influencing factors of glycemic control among type 2 diabetes mellitus (T2DM) patients, in particular the correlations between peripheral blood eosinophils and metabolic indicators such as glucose, lipids, and uric acid (UA) in these patients.Methods:T2DM patients who were regularly followed up in the Intensive Diabetes Mellitus Clinic of Peking Union Medical College Hospital from January 2016 to September 2024 were prospectively selected as the research subjects. The clinical data of these patients at their first visit and at the 3rd, 6th, 9th, and 12th months of follow-up were collected. The potential correlations of peripheral blood eosinophils with blood glucose control, lipid metabolism, UA metabolism, and inflammation as well as their influencing factors were analyzed.Results:A total of 161 T2DM patients were included. The glycated hemoglobin A1c (HbA1c) compliance rate was significantly higher during the follow-up visits (3, 6, 9, and 12 months) than baseline (all P<0.05) but showed no significant correlation with the count or percentage of peripheral blood eosinophils. Spearman correlation analysis showed that the percentage of peripheral blood eosinophils was negatively correlated with Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) ( P=0.049) and high-density lipoprotein cholesterol (HDL-C) ( P=0.002) and positively with serum triglyceride (TG) ( P=0.034) and UA levels ( P<0.001). A further linear regression model analysis of these four variables and the percentage of eosinophils revealed that the percentage of peripheral blood eosinophils was only linearly correlated with serum UA level ( P<0.001). Conclusion:The percentage of peripheral blood eosinophils in T2DM patients is independently correlated with serum UA level, and monitoring serum UA level is important in T2DM management. Early identification and intervention of hyperuricemia can help provide more comprehensive and precise medical interventions for T2DM patients.

Objective:To investigate the value of visceral fat index (VAI) and lipid accumulation product (LAP) on predicting metabolic associated fatty liver disease (MAFLD) in the population without overweight/obesity.Methods:This study is a cross-sectional study. The physical examination data derived from International Physical Examination and Health Center of the Second Affiliated Hospital of Harbin Medical University from January to December 2021 were collected. According to the inclusion and exclusion criteria, a total of 4 304 subjects without overweight/obesity aged from 18-75 were included in this study. The subjects were divided into two groups with MAFLD or without MAFLD, according to the diagnostic criteria of MAFLD provided by The Asian Pacific Association for the Study of the liver clinical practice guidelines for the diagnosis and management of metabolic associated fatty liver disease. Comparison of the clinical parameters (blood pressure, lipid, glucose) and obesity measurement indexes (BMI, VAI, LAP) between the two groups was analyzed. All subjects were respectively divided into four groups according to BMI, VAI and LAP quartile, which were defined as A, B, C, D. The prevalence of MAFLD in the population without overweight/obesity in quartile area groups of different obesity measurement indexes was calculated. Spearman′s rank correlation was used to evaluate the correlation between BMI, LAP, VAI and MAFLD in the population without overweight/obesity, respectively. Meanwhile, receiver operating characteristics (ROC) curves were used to calculate area under the curve (AUC) and evaluate the accuracy of BMI, VAI and LAP on predicting for MAFLD in the population without overweight/obesity.Results:The prevalence of MAFLD in the population without overweight/obesity was 10.87%. In the population without overweight/obesity, the clinical data blood pressure, total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), triglyceride (TG) and fasting plasma glucose (FPG) in the group with MAFLD were significantly higher than those of the group without MAFLD (131/80 vs 113/70 mmHg, 5.29 vs 4.65 mmol/L, 3.21 vs 2.75 mmol/L, 1.87 vs 0.89 mmol/L, 5.60 vs 4.95 mmol/L; P<0.001), but high density lipoprotein cholesterol (HDL-C) of the group with MAFLD was significantly lower than that of the group without MAFLD (1.19 vs 1.49 mmol/L; P<0.001). The obesity measurement indexes (BMI, VAI, LAP) in the group with MAFLD were significantly higher than those of the group without MAFLD (22.10 vs 20.70 kg/m 2, 2.64 vs 1.00, 36.27 vs 12.48; all P<0.001). In the population without overweight/obesity, the prevalence of MAFLD was increased with the increase of BMI, VAI and LAP quartile area, and there was a linear correlation between MAFLD and obesity measurement indexes above. Spearman′s rank correlation analysis showed that correlation coefficient between obesity measurement indexes and MAFLD in the population without overweight/obesity was respectively LAP (0.427)>VAI (0.406)>BMI (0.282). ROC curve analysis showed that in the population without overweight/obesity, LAP had the highest accuracy on predicting MAFLD, with the AUC value of 0.896 (0.886-0.905), the optional cut-off value was 20.75, sensitivity and specificity was 85.9% and 79.0%, respectively. VAI (0.876) took the second place and BMI (0.761) located lastly. Conclusions:Both VAI and LAP have good prediction ability for MAFLD in the population without overweight/obesity. However, compared with VAI, LAP has higher accuracy on predicting MAFLD in the population without overweight/obesity.

Objective:To investigate the prevalence and independent risk factors of non-alcoholic fatty liver disease (NAFLD) and advanced chronic liver disease among the type 2 diabetes mellitus (T2DM) population in the Shenyang community, so as to provide evidence for the prevention and control of T2DM combined with NAFLD.Methods:This cross-sectional study was conducted in July 2021. 644 T2DM cases from 13 communities in Heping District, Shenyang City were selected. All the surveyed subjects underwent physical examination (measurements of height, body mass index, neck circumference, waist circumference, abdominal circumference, hip circumference, and blood pressure), infection screening (excluding hepatitis B and C, AIDS, and syphilis), random fingertip blood glucose, controlled attenuation parameter (CAP), and liver stiffness measurement (LSM). The study subjects were divided into the non-advanced chronic liver disease group and the advanced chronic liver disease group according to whether the LSM value was greater than 10 kPa. Cirrhotic portal hypertension development was indicated in patients with LSM ≥ 15 kPa. The comparison of multiple mean values among the sample groups was performed by analysis of variance when the normal distribution was met.Results:In the T2DM community population, there were 401 cases (62.27%) combined with NAFLD, 63 cases (9.78%) combined with advanced chronic liver disease, and 14 cases (2.17%) combined with portal hypertension. There were 581 cases in the non-advanced chronic liver disease group and 63 cases (9.78%) in the advanced chronic liver disease group (LSM ≥10 kPa), including 49 cases (7.61%) with 10 kPa≤LSM<15 kPa, 11 cases (1.71%) with 15 kPa ≤LSM<25 kPa, and 3 cases (0.47%) with LSM ≥ 25 kPa. Age, body mass, body mass index, neck circumference, waist circumference, hip circumference, waist-to-height ratio, systolic blood pressure, and CAP were all statistically different between the non-advanced chronic liver disease group and the advanced chronic liver disease group ( F=-1.983,-2.598,-4.091,-2.062,-3.909, -4.581,-4.295,-2.474, and -5.191, respectively; P<0.05). There was a statistically significant difference in terms of whether or not there was combined cerebrovascular disease (2=4.632, P=0.031); however, there were no statistically significant differences in terms of lifestyle, diabetes complications, and other complications ( P>0.05). Conclusion:Patients with T2DM have a higher prevalence of NAFLD (62.27%) than those with advanced chronic liver disease (9.78%). 2.17% of T2DM cases in the community may not have had early diagnosis and early intervention, and they might have been combined with cirrhotic portal hypertension. So, the management of these patients should be strengthened.

Objective To explore the diagnostic efficacy of bronchoscopy combined with T-SPOT in tuber-culosis. Methods Totally 248 highly suspected tuberculosis patients were included from February 2015 to April 2016 in our department. According to the different sources of sputum specimens ,they were divided into control group,atomization group and bronchoscope group;Depending on the mode of examination,they were divided into bronchoscopy group,T-SPOT group,bronchoscopy+T-SPOT group.To compare anti-acid smear positive rate,tuber-culosis diagnosis and diagnostic efficacy in each group and safety of bronchoscopy. Results The rate of sputum specimens smear-positive was the highest(37.173%) in bronchoscopy.There were statistically significant of the three groups(P=0.001);The highest diagnostic rate of pulmonary tuberculosis was(92.670%)in Bronchoscopy+T-SPOT group,three groups were statistically significant(P=0.000). The specificity,sensitivity,positive predic-tive value,negative predictive value,positive likelihood ratio and Jorden index were highest in diagnosing tuberculo-sis of bronchoscopy+T-SPOT group ,negative likelihood ratio was lowest. There were Complications of three cases of bleeding,one case of pneumothorax,one case of arrhythmia in bronchoscopy group. Conclusion Bronchoscopy combined with T-SPOT can improve the diagnostic efficacy of tuberculosis ,safe and reliable.

Objective To obtain M. Tuberculosis Ag85A protein by prokaryotic expression. Methods The fbpA gene encoding M. Tuberculosis Ag85A protein was amplified by polymerase chain reaction ( PCR) from M. Tuberculosis H37R_V strain. The PCR product was cloned into prokaryotic expression vector pProEXHTb to generate the recombi-nant plasmid pProfbpA, which was then transformed into the competence Escherichia coli BL21 cells. The recombi-nant Ag85A protein was successfully expressed by isopropyl thio-β-D-galactoside(IPTG) induction and purified by the Ni-purification system. The distribution of fbpA gene in different nonpathogenic mycobacterial strains was screened by PCR and ELISA was performed to determine the immunoreactivity of the recombinant Ag85A protein with serum from mice with mycobacterial infections. Results 32 ku Ag85A protein was successfully expressed and purified. It was confirmed by PCR and ELISA that fbpA gene presented in the genomes of M. Tuberculosis H37Rv, H37Ra, BCG, M. Smegmatis, M. Terra, M. Trivial and M. Phlei, but being absent in the genomes of M. Vaccae. The highest Ag85 A antibody titer was found in serum of TB patients and mice infected by M . Tuberculosis H37Rv .Conclusion The recombinant Ag85A protein was successfully expressed and purified.