OBJECTIVE To investigate the efficacy and safety of metformin in the treatment of diabetes mellitus type 2 （T2DM） complicated with sarcopenia in elderly patients. METHODS From January 2022 to January 2024， clinical data from eligible patients with T2DM complicated with sarcopenia treated at the First Affiliated Hospital of Chongqing Medical and Pharmaceutical College were collected. Patients were randomly assigned into control group （70 cases） and observation group （70 cases） using a random number table. Both groups received routine interventions； control group additionally received subcutaneous injections of Insulin glargine injection before bedtime and Human insulin injection 30 minutes before breakfast， lunch and dinner every day. In addition to the same treatments as the control group， the observation group was administered 0.5 g of Metformin hydrochloride sustained-release tablets orally once daily. Both groups were treated continuously for 24 weeks. Comparisons were made between the two groups in terms of glucose metabolism indexes [fasting blood glucose （FBG）， 2 h postprandial blood glucose （2 hBG）， and glycosylated hemoglobin （HbA1c）]， homeostasis model assessment of insulin resistance （HOMA-IR）， appendicular skeletal mass muscle index （ASMI）， grip strength， walking speed， lipid metabolism indexes [serum total triglyceride （TG）， total cholesterol （TC）， low-density lipoprotein cholesterol （LDL-C）， and high-density lipoprotein cholesterol （HDL-C）]， serological markers [high-sensitivity C reactive protein （hs-CRP）， interleukin-6 （IL-6）， and ferritin levels] and quality of life. The occurrence of ADR was recorded in both groups. RESULTS 65 patients in the control group and 63 patients in the observation group completed this study， respectively. After treatment， the levels of FBG， 2 hBG， HbA1c， HOMA-IR，TG and TC in both groups， and the levels of hs-CRP， IL-6 and ferritin in observation group were all significantly reduced compared to those before treatment （P＜0.05）， and the HOMA-IR in observation group was significantly lower than control group （P＜0.05）； additionally， the grip strength， walking speed， and scores for daily living and activity abilities of observation group were increased than those before treatment and the control group （P＜0.05）. The incidence of adverse drug reactions in both groups was 2.86%. CONCLUSIONS Metformin can reduce inflammatory factors and ferritin levels， promote the recovery of muscle mass and strength， improve insulin resistance， and quality of life in elderly patients with T2DM complicated with sarcopenia， and does not increase the occurrence of adverse drug reactions.

ObjectiveTo explore the mechanisms of action of Ganlu Xiaodu Dan in treating viral pneumonia by combining network pharmacology and molecular docking with in vivo experimental validation. MethodsNetwork pharmacology and molecular docking were used to predict the core components， target genes， and major pathways of Ganlu Xiaodu Dan. Molecular docking was then applied to verify the interactions between the core components and key targets. Sixty male C57BL/6 mice were randomly divided into six groups （n = 10 per group）， including blank， model， dexamethasone， and Ganlu Xiaodu Dan low-， medium-， and high-dose groups. The blank and model groups were gavaged with physiological saline （10 mL·kg^-1） every 12 h. The dexamethasone group received intraperitoneal injections of dexamethasone （5 mg·kg^-1）. The low-， medium-， and high-dose groups of Ganlu Xiaodu Dan were gavaged with solutions at concentrations of 7.2， 14.4， and 21.6 g·kg^-1， respectively， every 12 h. Lung wet/dry weight ratio （W/D） was measured. Hematoxylin-eosin （HE） staining was used to observe pathological changes in lung tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to determine the expression levels of tumor necrosis factor-α （TNF-α）， interleukin （IL）-17， and IL-1β in bronchoalveolar lavage fluid （BALF）. Western blot was performed to detect the expression of phosphoinositide 3-kinase （PI3K） and protein kinase B （Akt） in lung tissue for further validation. ResultsTwelve potential active components of Ganlu Xiaodu Dan were identified through network pharmacology. A total of 306 overlapping target genes were obtained between Ganlu Xiaodu Dan and viral pneumonia. PPI network analysis identified the top 20 key targets， and GO and KEGG enrichment analyses revealed the top 20 signaling pathways. An “active component–target–pathway” network was constructed. Molecular docking demonstrated strong affinity between the core components of Ganlu Xiaodu Dan and key targets related to viral pneumonia. In animal experiments， compared with the blank group， the model group showed severe bronchial epithelial damage， disordered alveolar structure， massive inflammatory cell infiltration， widened alveolar septa， and obvious interstitial edema. W/D， levels of IL-1β， TNF-α， and IL-17 in BALF， and protein expression of p-PI3K/PI3K and p-Akt/Akt in lung tissue were all significantly increased （P<0.05）. Compared with the model group， lung injury in the Ganlu Xiaodu Dan groups and the dexamethasone group was alleviated. W/D and TNF-α levels were significantly decreased （P<0.05）. IL-1β and IL-17 levels were significantly reduced in the medium- and high-dose groups and the dexamethasone group， and the protein expression levels of p-PI3K/PI3K and p-Akt/Akt in lung tissue were significantly decreased （P<0.05）. ConclusionGanlu Xiaodu Dan can alleviate lung injury in viral pneumonia by suppressing the inflammatory response， and its mechanism may be related to the inhibition of PI3K/Akt pathway activation.

ObjectiveTo explore the mechanisms of action of Ganlu Xiaodu Dan in treating viral pneumonia by combining network pharmacology and molecular docking with in vivo experimental validation. MethodsNetwork pharmacology and molecular docking were used to predict the core components， target genes， and major pathways of Ganlu Xiaodu Dan. Molecular docking was then applied to verify the interactions between the core components and key targets. Sixty male C57BL/6 mice were randomly divided into six groups （n = 10 per group）， including blank， model， dexamethasone， and Ganlu Xiaodu Dan low-， medium-， and high-dose groups. The blank and model groups were gavaged with physiological saline （10 mL·kg^-1） every 12 h. The dexamethasone group received intraperitoneal injections of dexamethasone （5 mg·kg^-1）. The low-， medium-， and high-dose groups of Ganlu Xiaodu Dan were gavaged with solutions at concentrations of 7.2， 14.4， and 21.6 g·kg^-1， respectively， every 12 h. Lung wet/dry weight ratio （W/D） was measured. Hematoxylin-eosin （HE） staining was used to observe pathological changes in lung tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to determine the expression levels of tumor necrosis factor-α （TNF-α）， interleukin （IL）-17， and IL-1β in bronchoalveolar lavage fluid （BALF）. Western blot was performed to detect the expression of phosphoinositide 3-kinase （PI3K） and protein kinase B （Akt） in lung tissue for further validation. ResultsTwelve potential active components of Ganlu Xiaodu Dan were identified through network pharmacology. A total of 306 overlapping target genes were obtained between Ganlu Xiaodu Dan and viral pneumonia. PPI network analysis identified the top 20 key targets， and GO and KEGG enrichment analyses revealed the top 20 signaling pathways. An “active component–target–pathway” network was constructed. Molecular docking demonstrated strong affinity between the core components of Ganlu Xiaodu Dan and key targets related to viral pneumonia. In animal experiments， compared with the blank group， the model group showed severe bronchial epithelial damage， disordered alveolar structure， massive inflammatory cell infiltration， widened alveolar septa， and obvious interstitial edema. W/D， levels of IL-1β， TNF-α， and IL-17 in BALF， and protein expression of p-PI3K/PI3K and p-Akt/Akt in lung tissue were all significantly increased （P<0.05）. Compared with the model group， lung injury in the Ganlu Xiaodu Dan groups and the dexamethasone group was alleviated. W/D and TNF-α levels were significantly decreased （P<0.05）. IL-1β and IL-17 levels were significantly reduced in the medium- and high-dose groups and the dexamethasone group， and the protein expression levels of p-PI3K/PI3K and p-Akt/Akt in lung tissue were significantly decreased （P<0.05）. ConclusionGanlu Xiaodu Dan can alleviate lung injury in viral pneumonia by suppressing the inflammatory response， and its mechanism may be related to the inhibition of PI3K/Akt pathway activation.

Objective:To investigate the effect of mitochondrial division of GABAergic neurons in substantia nigra pars reticulata(SNr)on motor dysfunction in mice with acute hepatic encephalopathy(AHE).Methods:AHE mice model was established by intraperitoneal injection of thioacetamide(TAA).The changes of liver lobules in AHE mice were observed by hematoxylin-eosin(HE)staining.The changes of serum aspartate aminotransferase(AST),alanine aminotransferase(ALT)and blood ammonia in AHE mice were detected by biochemical detection kit.Then,the motor function of AHE mice was observed by rod fatigue test,elevated cross maze test and open field test.Furthermore,the changes of mitochondrial area,perimeter,roundness and other morphological indicators in SNr of AHE mice were ob-served and analyzed by transmission electron microscopy.The expression of mitochondrial division and fusion related molecules in SNr of AHE mice was observed by Western Blot.Then,the expression of mitochondrial dynamic related protein 1(DRP1)in SNr of AHE mice was targeted by AAV virus.The mitochondrial membrane potential(MMP),ATP and reactive oxygen species(ROS)in SNr were detected by fluorescence enzyme marker,and the changes of motor function of mice were observed.Results:Compared with the control group,the motor function of AHE mice was signifi-cantly decreased,the mitochondrial division of SNr was significantly enhanced,and the expression of mitochondrial divi-sion related proteins was significantly increased.The MMP in SNr of AHE mice was significantly decreased,the ATP of cells was decreased,and the ROS was increased.After targeted inhibition of DRP1 expression in SNr of AHE mice,the movement was improved;further observation found that after the mitochondrial division in SNr of AHE mice was inhibi-ted,the MMP was significantly increased,the ATP of cells was increased,and the ROS was decreased,which demon-strated that the mitochondrial function was significantly improved.Conclusion:Targeted inhibition of mitochondrial di-vision of GABAergic neurons in SNr of AHE mice can improve mitochondrial morphology and function,thus alleviating their movement disorders.

OBJECTIVE To analyze the influential factors on trough concentration （cmin） and area under the drug concentration time curve （AUC） of voriconazole （VRZ） in pediatric patients with thalassemia undergoing hematopoietic stem cell transplantation （HSCT）. METHODS A total of 60 pediatric patients with thalassemia undergoing HSCT who used VRZ for prevention or treatment of invasive fungal infection were collected in our hospital from January 2021 to January 2024. The plasma concentration of VRZ was measured by high-performance liquid chromatography and the AUC was calculated. The factors affecting cmin and AUC of VRZ were analyzed using multiple linear regression. RESULTS A total of 120 cases of VRZ cmin in 60 pediatric patients was obtained and 27 cases of VRZ AUC in 26 pediatric patients were obtained. The median concentration of VRZ cmin was 0.31 mg/L； 46 cases had a cmin in 0.5-5 mg/L（ 38.33%）， 2 cases had a cmin＞5 mg/L（ 1.67%）， and 72 cases had a cmin＜0.5 mg/L. The median AUC of VRZ was 11.68 mg·h/L. The patient’s body weight， HSCT postoperative days， lymphocyte count， and combined use of phenytoin sodium， tacrolimus or cyclosporine had significant effects on VRZ cmin （P＜0.05）. Lymphocyte count and combined use of phenytoin sodium had significant effects on VRZ AUC （P＜0.05）. CONCLUSIONS The body weight， HSCT postoperative days， lymphocyte count， and combined use of phenytoin sodium， tacrolimus or cyclosporine are independent factors affecting VRZ cmin. Lymphocyte count and combined use of phenytoin sodium are independent factors affecting VRZ AUC.

Lynch syndrome (LS) is a common hereditary tumor syndrome. Gynecological malignancy is usually the first tumor of LS in women, and endometrial cancer (EC) is the most closely associated with LS. Most patients with LS are unaware of this risk, and it is possible to cause misdiagnosis. Thus, early diagnosis helps patients to start tumor surveillance timely, as well as a cascade of family surveillance. This paper reviews the progress of LS associated with EC.

Objective:To study the genetic variation and distribution characteristics of thalassemia in people of childbearing age in Hubei Province, and to provide clinical basis for the local government decision-making departments to formulate and promote appropriate policies for prevention and control of thalassemia.Methods:Venous blood samples were collected from 44 849 people of childbearing age in hospitals in Hubei Province from May 13, 2019 to August 17, 2021. PCR-flow fluorescence hybridization and PCR+diversion hybridization were used to screen thalassemia genes. Spouses of those who tested positive were also tested for thalassemia genes. When both spouses carried the same type of thalassemia gene, the amniotic fluid of pregnant women was extracted for prenatal diagnosis and followed up.Results:Among the 44 849 people of childbearing age, 2 286 cases were diagnosed as thalassemia gene carriers through genetic testing, and the total detection rate was 5.10% (2 286/44 849). Among them, 1 488 cases were diagnosed as α-thalassemia, and the detection rate was 3.32% (1 488/44 849); 767 cases were diagnosed as β-thalassemia, and the detection rate was 1.71% (767/44 849); 31 cases were diagnosed as α-thalassemia combined with β-thalassemia, and the detection rate was 0.07% (31/44 849). The top three genotypes of α-thalassemia were -α 3.7/αα, -- SEA/αα, and -α 4.2/αα, accounting for 58.06% (864/1 488), 26.14% (389/1 488), and8.74% (130/1 488), respectively. The top three genotypes of β-thalassemia were β IVS-Ⅱ-654/β N, β CD41-42/β N, and β CD17/β N, accounting for 41.72% (320/767), 21.25% (163/767), and 16.04% (123/767), respectively. The main genotypes of α-thalassemia combined with β-thalassemia were -α 3.7/αα complex β IVS-Ⅱ-654/β N and -α 3.7/αα complex β CD41-42/β N, accounting for 29.03% (9/31) and 16.13% (5/31), respectively. A total of 59 people of childbearing age were conducted prenatal diagnosis, among fetus, there were 4 cases of severe thalassemia (2 cases of severe α-thalassemia, 2 cases of severe β-thalassemia), 5 cases of intermediate α-thalassemia, 5 cases of intermediate or severe β-thalassemia, 19 cases of mild thalassemia (8 cases of mild α-thalassemia, 11 cases of mild β-thalassemia), 13 cases of stationary α-thalassemia, and 1 case of stationary α-thalassemia combined with mild β-thalassemia, there were 12 cases without α-thalassemia or β-thalassemia genes. After follow-up, 4 cases of severe thalassemia, 2 cases of intermediate α-thalassemia, and 5 cases of intermediate or severe β-thalassemia were terminated pregnancy by the joint decision of both parents. Conclusions:In Hubei Province, the detection rate of thalassemia is high, and α-thalassemia is the main mutation type. The combination of thalassemia gene screening and prenatal diagnosis is of great significance in reducing the birth rate of children with thalassemia.

Objective:To evaluate the feasibility of artificial intelligence (AI) diagnosis of pulmonary nodules on virtual non-contrast(VNC) images derived from dual-layer detector spectral CT.Methods:Totally 52 patients who underwent non-contrast and dual-phase enhanced chest CT scan from May 2022 to November 2022 were enrolled in this study. The VNC images of lung were reconstructed based on venous phase data. CT values and image noise of lung parenchyma, signal-to-noise ratio (SNR) were measured. The dose-length product (DLP) of each scan was recorded and the effective dose ( E) was calculated. All of the objective indicators of image quality and radiation dose were compared by Paired t test. Image quality was evaluated subjectively by two radiologists and compared with Wilcoxon non-parametric test. Wilcoxon symbolic rank test was used to compare the sensitivity and false positive detection rate (FPDR) of AI diagnosis between two groups. Results:Compared with TNC, the noise of venous VNC image was decreased by 13.8%, SNR increased by 14.9%, and both of DLP and E decreased by 33.3% ( t=5.82, -5.35, 22.93, 22.92, P <0.05). There were no significant differences in CT values and subjective scores between 2 groups ( P >0.05). For different types of pulmonary nodules, there was no statistical difference in the sensitivity of AI diagnosis between two groups ( P >0.05). For solid nodules with diameter ≤4 mm and all pulmonary nodules in general, FPDR in VNC group was slightly increased with statistical significance ( Z=-2.03, -3.09, P<0.05), while for other types of pulmonary nodules, there was no statistical difference ( P >0.05). Conclusions:The VNC images of thoracic venous phase based on spectral CT can significantly reduce the radiation dose of patients while the image quality and the AI diagnostic sensitivity of pulmonary nodules remain unchanged, and the FPDR without significantly increase. And it could replace TNC for daily routine.

Objective:To construct a predictive nomogram incorporating pretreatment CT-based radiomics for radiation pneumonitis (RP) in esophageal cancer (EC) patients treated with intensity-modulated radiotherapy (IMRT), and to evaluate the value of CT radiomics in predicting RP.Methods:Clinical data of 267 EC patients sequentially treated with IMRT in Quanzhou First Hospital affiliated to Fujian Medical University from January 2019 to December 2021 were prospectively analyzed. Among them, the first 206 patients were assigned into the training cohort and the last 61 patients were enrolled in the validation cohort. Radiomics features of bilateral lungs were extracted by radiotherapy CT simulation. Univariate analysis was performed to screen the potential predictive variables for symptomatic RP. Machine learning algorithms, such as least absolute shrinkage and selection operator (LASSO), extreme gradient boosting (XGboost), and support vector machine (SVM), were performed for radiomic features selection, respectively. The best classifier was chosen to construct a radiomic signature (RS). Clinical, radiomics and combined nomogram predictive model were developed, respectively. The predictive efficiency and clinical benefits of three models were compared by calculating the area under the receiver operating characteristic (ROC) curve (AUC), calibration curve and decision curve analysis (DCA), and then validated in the validation cohort. Multivariate logistic regression analysis was conducted. Different ROC curves were compared by Delong test.Results:Cardiovascular disease, minimum internal diameter of esophagus and adjuvant chemotherapy and RS were the independent related factors of RP. The AUC of clinical, radiomics and combined models were 0.772, 0.745, 0.842 in the training cohort, and 0.851, 0.811, 0.901 in the validation cohort, respectively. DCA showed that combined radiomic model yielded better clinical benefits compared with clinical model.Conclusion:Radiomics features from pretreatment CT have the potential of improving the efficiency of RP prediction models for EC patients treated with IMRT.

Objective:To explore the influencing factors of seasonal influenza among pregnant woman in Suzhou from 2015 to 2018.Methods:Based on the data of the influenza follow-up cohort of pregnant women in Suzhou from 2015 to 2018, the basic and clinical characteristics of the cohort were described, and the influencing factors of laboratory-confirmed influenza cases in pregnant women were analyzed by unconditional logistic regression.Results:A total of 19 006 pregnant women were recruited, in whom 479 cases of influenza were laboratory confirmed. Influenza A (H3N2) (42.8%) was the main sub-type. In pregnant women with exposure risk in influenza season, unconditional univariate logistic analysis showed that pregnant women or their husbands had registered permanent residence in Suzhou, pregnant women worked as childminder or nanny, had more than 2 permanent residents in the family except themselves, had medical insurance in Suzhou, had fertility insurance in Suzhou, were in the third trimester at the time of enrollment, had cough in the past month, were pregnant for the first time, had children, before and after pregnancy, spent more time outdoors than before, wore masks more often than before and had changed the frequency of gathering were all related to influenza virus infection in pregnant women. Among them, the first pregnancy, increasing the time of outdoor activity, increasing the frequency of wearing masks, and changing the frequency of gathering were important protective factors. Unconditional multivariate logistic regression analysis showed that the number of permanent residents at home was >2 (a OR=1.24, 95% CI: 1.01-1.52) and being in the third trimester, (a OR=1.56, 95% CI: 1.26-1.91) were the risk factors for maternal infection with influenza virus. Conclusion:Pregnant women with a large number of permanent residents and late pregnancy should pay attention to preventing seasonal influenza.