ObjectiveTo observe the pharmacodynamic efficacy of phlorizin in improving hepatic glycolipid metabolism disorders in type 2 diabetic mellitus （T2DM） rats and to explore its mechanism of action based on the insulin receptor substrate-1 （IRS-1）/phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. MethodsA high-fat diet and streptozotocin （STZ） were used to establish T2DM rat models. The rats were randomly assigned into six groups： the blank control group， model group， metformin group （300 mg·kg^-1）， and phlorizin high-dose （100 mg·kg^-1） and low-dose groups （25 mg·kg^-1）. The rats were given intragastric administration for 6 weeks. The changes in body weight and fasting blood glucose （FBG） were observed， and the oral glucose tolerance test （OGTT） was carried out. The levels of total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， glycated serum protein （GSP）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） in serum were detected by an automatic biochemical analyzer. The levels of fasting insulin （FINS）， interleukin （IL）-1β， IL-6， and tumour necrosis factor （TNF）-α were detected by enzyme-linked immunosorbent assay （ELISA）. The levels of superoxide dismutase （SOD） and malondialdehyde （MDA） were detected by the biochemical assays. The pancreas index， liver index， and insulin resistance index were calculated. Hematoxylin-eosin （HE） staining was used to evaluate the pathological changes in liver and pancreatic tissues. The immunofluorescence method was used to detect the changes in insulin and glucagon in pancreatic tissue. Western blot was used to detect the expression of related proteins in the IRS-1/PI3K/Akt pathway of liver tissue and its downstream glycogen synthase kinase-3β （GSK-3β） and forkhead box transcription factor O1 （FoxO1） proteins. ResultsCompared with the blank control group， the body weight of rats in the model group continued to decrease， while the FBG level increased significantly. The area under the OGTT blood glucose curve （AUC）， GSP， TC， TG， LDL-C， IL-1β， IL-6， TNF-α， MDA， pancreatic index and liver index increased significantly， while the levels of HDL-C， SOD， and FINS decreased significantly （P0.05， P0.01）. Histological results showed that the pancreatic islets of rats in the model group exhibited atrophy and severe structural abnormalities. The insulin-positive β-cells decreased significantly （P0.01）， while the glucagon-positive α-cells increased significantly （P0.01）. Inflammatory cell infiltration and partial necrosis were observed in the liver tissues of the model group rats. The expressions of p-IRS-1/IRS-1， p-GSK-3β/GSK-3β， and p-FoxO1/FoxO1 proteins in the liver of the model group increased significantly （P0.01）， while the expressions of p-PI3K/PI3K and p-Akt/Akt proteins decreased significantly （P0.01）. Compared with the model group， the diabetic symptoms of rats in all administration groups were improved. The changes in body weight and FBG were close to those of the blank control group. The levels of OGTT-AUC， GSP， TC， TG， LDL-C， MDA， IL-1β， IL-6， TNF-α and the pancreatic index， liver index were obviously reduced （P0.05， P0.01）， while the levels of HDL-C， SOD， and FINS obviously increased （P0.05， P0.01）. The pathological changes of the pancreas and liver in rats in all treatment groups were effectively improved. The insulin-positive β-cells in the pancreas increased significantly （P0.01）， while the glucagon-positive α-cells decreased significantly （P0.01）. The protein expressions of p-IRS-1/IRS-1， p-GSK-3β/GSK-3β， and p-FoxO1/FoxO1 in the liver were significantly reduced （P0.01）， while the protein expressions of p-PI3K/PI3K and p-Akt/Akt significantly increased （P0.01）. ConclusionPhlorizin reversed the weight loss and abnormal increase of FBG in T2DM rats， improved blood lipid profiles， oxidative stress， and inflammatory levels， alleviated insulin resistance， and had certain protective effects on the liver and pancreas. The hypoglycemic mechanism may involve regulating the IRS-1/PI3K/Akt signaling pathway to inhibit the activities of GSK-3β and FoxO1， thereby promoting liver glycogen synthesis and suppressing hepatic gluconeogenesis， ultimately improving glycolipid metabolism disorders.

ObjectiveTo observe the pharmacodynamic efficacy of phlorizin in improving hepatic glycolipid metabolism disorders in type 2 diabetic mellitus （T2DM） rats and to explore its mechanism of action based on the insulin receptor substrate-1 （IRS-1）/phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. MethodsA high-fat diet and streptozotocin （STZ） were used to establish T2DM rat models. The rats were randomly assigned into six groups： the blank control group， model group， metformin group （300 mg·kg^-1）， and phlorizin high-dose （100 mg·kg^-1） and low-dose groups （25 mg·kg^-1）. The rats were given intragastric administration for 6 weeks. The changes in body weight and fasting blood glucose （FBG） were observed， and the oral glucose tolerance test （OGTT） was carried out. The levels of total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， glycated serum protein （GSP）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） in serum were detected by an automatic biochemical analyzer. The levels of fasting insulin （FINS）， interleukin （IL）-1β， IL-6， and tumour necrosis factor （TNF）-α were detected by enzyme-linked immunosorbent assay （ELISA）. The levels of superoxide dismutase （SOD） and malondialdehyde （MDA） were detected by the biochemical assays. The pancreas index， liver index， and insulin resistance index were calculated. Hematoxylin-eosin （HE） staining was used to evaluate the pathological changes in liver and pancreatic tissues. The immunofluorescence method was used to detect the changes in insulin and glucagon in pancreatic tissue. Western blot was used to detect the expression of related proteins in the IRS-1/PI3K/Akt pathway of liver tissue and its downstream glycogen synthase kinase-3β （GSK-3β） and forkhead box transcription factor O1 （FoxO1） proteins. ResultsCompared with the blank control group， the body weight of rats in the model group continued to decrease， while the FBG level increased significantly. The area under the OGTT blood glucose curve （AUC）， GSP， TC， TG， LDL-C， IL-1β， IL-6， TNF-α， MDA， pancreatic index and liver index increased significantly， while the levels of HDL-C， SOD， and FINS decreased significantly （P0.05， P0.01）. Histological results showed that the pancreatic islets of rats in the model group exhibited atrophy and severe structural abnormalities. The insulin-positive β-cells decreased significantly （P0.01）， while the glucagon-positive α-cells increased significantly （P0.01）. Inflammatory cell infiltration and partial necrosis were observed in the liver tissues of the model group rats. The expressions of p-IRS-1/IRS-1， p-GSK-3β/GSK-3β， and p-FoxO1/FoxO1 proteins in the liver of the model group increased significantly （P0.01）， while the expressions of p-PI3K/PI3K and p-Akt/Akt proteins decreased significantly （P0.01）. Compared with the model group， the diabetic symptoms of rats in all administration groups were improved. The changes in body weight and FBG were close to those of the blank control group. The levels of OGTT-AUC， GSP， TC， TG， LDL-C， MDA， IL-1β， IL-6， TNF-α and the pancreatic index， liver index were obviously reduced （P0.05， P0.01）， while the levels of HDL-C， SOD， and FINS obviously increased （P0.05， P0.01）. The pathological changes of the pancreas and liver in rats in all treatment groups were effectively improved. The insulin-positive β-cells in the pancreas increased significantly （P0.01）， while the glucagon-positive α-cells decreased significantly （P0.01）. The protein expressions of p-IRS-1/IRS-1， p-GSK-3β/GSK-3β， and p-FoxO1/FoxO1 in the liver were significantly reduced （P0.01）， while the protein expressions of p-PI3K/PI3K and p-Akt/Akt significantly increased （P0.01）. ConclusionPhlorizin reversed the weight loss and abnormal increase of FBG in T2DM rats， improved blood lipid profiles， oxidative stress， and inflammatory levels， alleviated insulin resistance， and had certain protective effects on the liver and pancreas. The hypoglycemic mechanism may involve regulating the IRS-1/PI3K/Akt signaling pathway to inhibit the activities of GSK-3β and FoxO1， thereby promoting liver glycogen synthesis and suppressing hepatic gluconeogenesis， ultimately improving glycolipid metabolism disorders.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

Near infrared spectroscopy(NIRS)analysis technology has become an important process analysis tool in industrial and agricultural production,and has been widely used for qualitative and quantitative analysis in the fields of tobacco,agriculture,and pharmaceuticals.To address issues such as poor generalization ability and low prediction accuracy in NIRS modeling,a two-dimensional convolutional neural network(2DCNN)quantitative analysis model based on competitive adaptive reweighted sampling(CARS)and Gramian angular difference field(GADF)(CARS-GADF-2DCNN)was proposed.CARS-GADF-2DCNN used the CARS method to select an optimal wavelength set from the full spectrum,then employed GADF to encode the selection results into two-dimensional images,and finally used 2DCNN for prediction analysis.The 2DCNN model consisted of convolutional layers,parallel convolution modules,flattening layer,and fully connected layers.Simulation experiments were conducted on three public near-infrared(NIR)spectral datasets encompassing soil,tablet,and grain datasets to evaluate the CARS-GADF-2DCNN model.The results demonstrated that,compared to the one-dimensional convolutional neural network(1DCNN),the GADF-2DCNN model achieved 16.74％,23.40％,and 7.13％improvement in prediction accuracy for the soil,tablet,and grain datasets,respectively.Compared to GADF-2DCNN,VCPA-GADF-2DCNN,and IRIV-GADF-2DCNN models,the CARS-GADF-2DCNN model further improved prediction accuracy.For the soil dataset,prediction accuracy improved by 39.00％,30.78％and 4.13％;for the tablet dataset,the improvements were 9.52％,6.94％and 2.56％;for the grain dataset,the improvements were 20.57％,9.85％and 15.66％.In conclusion,CARS-GADF-2DCNN effectively selected the optimal wavelength subset from near infrared spectra,and revealed the latent features between different wavelengths.CARS-GADF-2DCNN addresses the issues of high complexity in prediction models and low prediction accuracy in near infrared spectral modeling,and could be effectively applied to near infrared spectral prediction analysis of different substances.

OBJECTIVE: To investigate the differences in indwelling duration, clinical scenarios, and complications between the modified midline catheter (MMC) and the central venous catheter (CVC) in the treatment of patients in the medical intensive care unit (ICU) and the risk factors for complications based on real-world data. METHODS: A retrospective cohort study was conducted. The adult patients admitted to the medical ICU of the Third Xiangya Hospital of Central South University and had undergone placement of either a MMC or a CVC between January 1, 2023, and July 31, 2024, were consecutively enrolled by querying the hospital's electronic medical record system. Based on the type of catheter inserted, the patients were divided into the MMC group and the CVC group. The two groups were compared regarding the selection of catheters in the context of different underlying diseases, the actual clinical application after catheterization, catheter-related complications, the international normalized ratio (INR) and platelet count (PLT) during puncture and catheterization, the length of ICU stay, total length of hospital stay, catheter indwelling duration, and mortality during hospitalization. Multivariate Logistic regression analysis was employed to identify independent risk factors for catheter removal. RESULTS: Among the 274 patients, 52 received a MMC and 222 received a CVC. The utilization rate of MMC was significantly higher than that of CVC in patients with acute respiratory distress syndrome (ARDS), cardiovascular disease, and cancer [ARDS: 92.3% (48/52) vs. 70.3% (156/222), cardiovascular disease: 84.6% (44/52) vs. 54.5% (121/222), cancer: 30.8% (16/52) vs. 17.1% (38/222), all P < 0.05]. However, the use of MMC was significantly lower than CVC when vasoactive drug infusion was required [57.7% (30/52) vs. 79.7% (177/222), P < 0.05]. A significantly higher proportion of patients in the MMC group had a catheter indwelling time ≥ 12 days as compared with the CVC group [32.7% (17/52) vs. 13.5% (30/222), P < 0.05]. There were no statistically significant differences in other underlying diseases, venous access usage, INR and PLT during puncture and catheterization, length of ICU stay, total length of hospital stay, and in-hospital mortality of patients between the two groups. Regarding catheter-related complications, although the incidence of partial or complete catheter removal in the MMC group was significantly higher than that in the CVC group [36.5% (19/52) vs. 5.4% (12/222), P < 0.05], the incidence of puncture site fluid leakage, puncture site skin allergy, and deep vein thrombosis were significantly lower than those in the CVC group [puncture site fluid leakage: 1.9% (1/52) vs. 22.1% (49/222), puncture site skin allergy: 0% (0/52) vs. 20.7% (46/222), deep vein thrombosis: 3.8% (2/52) vs. 16.7% (37/222), all P < 0.05]. Furthermore, the proportion of patients experiencing three or more types of complications in the MMC group was significantly lower than that in the CVC group [5.8% (3/52) vs. 17.6% (39/222), P < 0.05]. Multivariate Logistic regression analysis of risk factors for catheter removal identified the use of a MMC [odds ratio (OR) = 8.518, 95% confidence interval (95%CI) was 3.710-19.560, P < 0.001] and a catheter indwelling time ≥ 12 days (OR = 3.133, 95%CI was 1.297-7.567, P = 0.011) as independent risk factors. CONCLUSIONS MMC was more frequently used in patients with ARDS, cardiovascular disease, and cancer, whereas CVC was primarily employed for vasoactive drug infusion. The use of MMC and a longer indwelling time were identified as independent risk factors for catheter removal. Despite a higher removal rate, the overall incidence of complications was significantly lower with MMC than with CVC. These findings suggest that MMC could serve as a routine alternative to CVC in most of clinical scenarios, provided that measures are implemented to prevent removal.
Humans ; Retrospective Studies ; Intensive Care Units ; Catheterization, Central Venous/methods* ; Central Venous Catheters ; Risk Factors ; Length of Stay ; Male ; Female ; Middle Aged ; Adult ; Catheters, Indwelling ; Aged

OBJECTIVE: This study aimed to investigate the prevalence of HIV pretreatment drug resistance (PDR) and the transmission clusters associated with PDR-related mutations in newly diagnosed, treatment-naive patients between 2020 and 2023 in Dehong prefecture, Yunnan province, China. METHODS: Demographic information and plasma samples were collected from study participants. PDR was assessed using the Stanford HIV Drug Resistance Database. The Tamura-Nei 93 model within HIV-TRACE was employed to compute pairwise matches with a genetic distance of 0.015 substitutions per site. RESULTS: Among 948 treatment-naive individuals with eligible sequences, 36 HIV subtypes were identified, with unique recombinant forms (URFs) being the most prevalent (18.8%, 178/948). The overall prevalence of PDR was 12.4% (118/948), and resistance to non-nucleotide reverse transcriptase inhibitors (NNRTIs), nucleotide reverse transcriptase inhibitors (NRTIs), and protease inhibitors (PIs) was 10.7%, 1.3%, and 1.6%, respectively. A total of 91 clusters were identified, among which eight showed evidence of PDR strain transmission. The largest PDR-associated cluster consisted of six CRF01_AE drug-resistant strains carrying K103N and V179T mutations; five of these individuals had initial CD4+ cell counts < 200 cells/μL. CONCLUSION The distribution of HIV subtypes in Dehong is diverse and complex. PDR was moderately prevalent (12.4%) between 2020 and 2023. Evidence of transmission of CRF01_AE strains carrying K103N and V179T mutations was found. Routine surveillance of PDR and the strengthening of control measures are essential to limit the spread of drug-resistance HIV strains.
Humans ; HIV Infections/virology* ; China/epidemiology* ; Drug Resistance, Viral ; Male ; Adult ; Female ; Middle Aged ; HIV-1/genetics* ; Anti-HIV Agents/therapeutic use* ; Myanmar/epidemiology* ; Young Adult ; Prevalence ; Adolescent ; Mutation

OBJECTIVE: Chronic obstructive pulmonary disease (COPD) is a major health concern in northwest China; however, the impact of particulate matter (PM) exposure during sand-dust storms (SDS) remains poorly understood. Therefore, this study aimed to investigate the association between PM exposure on SDS days and COPD hospitalization risk in arid regions. METHODS: Data on daily COPD hospitalizations were collected from 323 hospitals from 2018 to 2022, along with the corresponding air pollutant and meteorological data for each city in Gansu Province. Employing a space-time-stratified case-crossover design and conditional Poisson regression, we analyzed 265,379 COPD hospitalizations. RESULTS: PM exposure during SDS days significantly increased COPD hospitalization risk [relative risk ( RR) for PM _2.5, lag 3:1.028, 95% confidence interval ( CI): 1.021-1.034], particularly among men and the elderly, and during the cold season. The burden of PM exposure on COPD hospitalization was substantially high in Northwest China, especially in the arid and semi-arid regions. CONCLUSION Our findings revealed a positive correlation between PM exposure during SDS episodes and elevated hospitalization rates for COPD in arid and semi-arid zones in China. This highlights the urgency of developing region-specific public health strategies to address adverse respiratory outcomes associated with SDS-related air quality deterioration.
Humans ; China/epidemiology* ; Pulmonary Disease, Chronic Obstructive/chemically induced* ; Particulate Matter/analysis* ; Hospitalization/statistics & numerical data* ; Male ; Female ; Middle Aged ; Aged ; Air Pollutants/analysis* ; Environmental Exposure/adverse effects* ; Spatio-Temporal Analysis ; Adult ; Sand ; Air Pollution

Objective: To screen and identify the key active molecules, signaling pathways, and therapeutic targets of Shuxuening (SXN) injection for treating liver cirrhosis (LC) and to evaluate its therapeutic potential using a mouse model. Methods: Target genes of SXN and LC were retrieved from public databases, and enrichment analysis was performed. A protein–protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), and hub genes were identified using Molecular Complex Detection (MCODE). LC was induced in rats and mice via intraperitoneal injections of diethylnitrosamine and carbon tetrachloride (CCl4) for 12 weeks. Starting at week 7, SXN was administered intraperitoneally to the mice in the treatment group. Serum and liver tissues of the mice were collected for the detection of indicators, pathological staining, and expression analysis of hub targets using quantitative real-time polymerase chain reaction (qRT-PCR). Results: We identified 368 overlapping genes (OLGs) between SXN and LC targets. These OLGs were subsequently used to build a PPI network and to screen for hub genes. Enrichment analysis showed that these genes were associated with cancer-related pathways, including phosphoinositide-3-kinase/Akt and mitogen-activated protein kinase signaling and various cellular processes, such as responses to chemicals and metabolic regulation. In vivo experiments demonstrated that SXN treatment significantly improved liver function and pathology in CCl4-induced LC mice by reducing inflammation and collagen deposition. Furthermore, qRT-PCR demonstrated that SXN regulated the expression of MAPK8, AR and CASP3 in the livers of LC mice. Conclusion This study highlighted the therapeutic effects of SXN in alleviating LC using both bioinformatics and experimental methods. The observed effect was associated with modulation of hub gene expression, particularly MAPK8, and CASP3.

Objective To investigate the epidemiological characteristics of knee osteoarthritis(KOA)among military personnel in plateau regions and to explore its risk factors.Methods From July 2023 to July 2024,a multi-stage stratified cluster random sampling method was employed to survey the prevalence of KOA and related risk factors among military personnel in the northwest plateau regions of China,covering different altitudes(1500-4500 m)and geographical areas(Gansu,Qinghai,Tibet,and Xinjiang).All study subjects were divided into KOA and non-KOA groups based on the presence or absence of KOA.Variables including age,gender,body mass index(BMI),education level,smoking status,military rank,military branch,service duration,regional altitude,annual average temperature,training duration,perceived training intensity,and history of knee injury were selected for univariate analyses between groups.Variables with P<0.05 in the univariate analyses were included in the binary multifactor logistic regression to identify risk factors for KOA.Results A total of 3000 questionnaires were distributed,and 2854 valid questionnaires were collected,with a response rate of 95.13%.The sample included 2584 males and 270 females,with 510 cases of KOA,resulting in a prevalence rate of 17.9%.Univariate analysis showed that there were statistically significant differences between KOA and non-KOA groups in terms of age,BMI,smoking status,military rank,military branch,service duration,regional altitude,annual average temperature,training duration,perceived training intensity,and history of knee injury(P<0.05).However,no significant differences were found in gender and education level(P>0.05).Binary multivariate logistic regression analysis revealed that older age(OR=1.382,P=0.017),higher BMI(P<0.01),smoking(OR=1.929,P<0.01),higher military rank(OR=1.485,P=0.007),being a member of the Armed Police(P<0.01),longer service duration(P<0.01),higher regional altitude(OR=1.459,P<0.01),lower annual average temperature(OR=1.188,P=0.001),longer training duration(P<0.01),higher perceived training intensity(OR=2.450,P<0.01),and history of knee injury(OR=2.768,P=0.002)were independent risk factors for KOA.Conclusions Older age,overweight/obesity,smoking,higher military rank,being a member of the Armed Police,longer service duration,higher altitude,cold climate,longer training duration,higher training intensity,and history of knee injury are independent risk factors for KOA among military personnel in the northwest plateau regions of China.