Objective To identify factors affecting and key environmental factors of the Oncomelania hupensis snail density in the Yangtze River Delta region using machine learning methods. Methods Administrative village-level O. hupensis snail survey data in the Yangtze River Delta (including Shanghai Municipality, Jiangsu Province, Zhejiang Province and Anhui Province) from 2011 to 2021 were retrieved from the Information Management System for Parasitic Disease Control of Chinese Center for Disease Control and Prevention. Environmental factor data were captured from the Google Earth Engine platform, including elevation, slope, terrain, normalized difference vegetation index (NDVI), vegetation type, soil type, total petroleum hydrocarbon (TPH), ammonium nitrogen, inorganic nitrogen, dissolved oxygen, pH of water, chemical oxygen demand (COD) and inorganic phosphorus, and climatic factor data in the study region were retrieved from the Copernicus Climate Data Store, including annual precipitation, aridity index and annual mean temperature (AMT). O. hupensis snail survey data in the Yangtze River Delta region from 2011 to 2021 were randomly divided into a training set (70%) and a test set (30%), and five machine learning models were selected for machine learning model construction and comparative analysis of the O. hupensis snail density using the software R 4.3.0, including random forest (RF), eXtreme gradient boosting (XGBoost), support vector machine (SVM), gradient boosting machine (GBM) and neural network (NN). The XGBoost model was employed to construct a predictive model for the O. hupensis snail density, and the impact of each environmental factor on O. hupensis snail distribution was quantified. The SHapley Additive exPlanations (SHAPs) values were calculated to estimate the average contribution of each variable to the model prediction, and the core environmental factors affecting the O. hupensis snail population density were screened. Results Among the five machine learning models, the XGBoost model exhibited the optimal comprehensive performance, with the coefficient of determination (R²) of 0.855, mean squared error (MSE) of 0.188, root mean squared error (RMSE) of 0.434 and mean absolute error (MAE) of 0.155, respectively. Analysis of factors affecting the O. hupensis snail density with the XGBoost model showed that among the 16 environmental factors, the top four high-impact factors ranked by SHAPs values included annual precipitation, elevation, aridity index and NDVI, with cumulative SHAPs contributions of 75%, which was higher than that of other environmental factors. If NDVI was higher than 0.6, the O. hupensis snail density increased with NDVI and peaked if NDVI was 0.8 (1.60 snails/0.1 m²). The O. hupensis snail density increased with elevation if the elevation ranged from 14 to 40 m, and slowly rose if the annual precipitation ranged from 900 to 1 300 mm, and then increased rapidly to the peak (1.52 snails/0.1 m²) if the annual precipitation ranged from 1 300 to 1 500 mm. In addition, the O. hupensis snail density increased rapidly to the maximum (1.60 snails/0.1 m²) if the aridity index ranged from 0.8 to 1.1, and decreased gradually if the aridity index exceeded 1.1. Conclusions The XGBoost model shows excellent performance in prediction of the O. hupensis snail density and identification of key environmental factors in the Yangtze River Delta region. Annual precipitation, elevation, aridity index and NDVI are key environmental factors affecting the distribution and density of O. hupensis snails in the Yangtze River Delta region.

ObjectiveTo explore the efficacy and mechanism of Euphorbia humifusa on acute kidney injury （AKI） based on network pharmacology， molecular docking and experimental verification. MethodsThe active components and targets of E. humifusa were retrieved from TCMSP and SwissTargetPrediction database， and the AKI targets were screened by GeneCards and Online Mendelian Inheritance in Man（OMIM） databases. The drug targets and disease targets were intersected to construct a protein-protein interaction network， and the intersection targets were subjected to gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） enrichment analysis. Discover Studio software was used to verify the molecular docking of key components and core targets. Gentamicin （GM） was used to induce AKI rat model. Control group， model group， verapamil （16 mg·kg^-1） group， E. humifusa extract （18， 54， 162 mg·kg^-1·d^-1） group and E. humifusa 70% ethanol extract （423 mg·kg^-1） group were continuously administered for 14 days. Urine volume was detected 24 h after modeling and administration. Serum creatinine （SCr）， Blood urea nitrogen （BUN）， 24-hour urine protein （24 hUTP） and uric acid （UA） content； the contents of malondialdehyde （MDA）， glutathione （GSH）， superoxide dismutase （SOD）， carbon monoxide synthase （NOS） and lactate dehydrogenase （LDH） in kidney were measured. The levels of interleukin （IL）-6 and tumor necrosis factor （TNF）-α in serum were detected by enzyme linked immunosorbent assay（ELISA） kit. The pathological changes of renal tissue were detected by hematoxylin-eosin （HE） and Masson staining. Western blot was used to detect the expression of PI3K/protein kinase B（Akt）/NF-κB signaling pathway-related proteins. ResultsIn this study， 13 active components such as kaempferol， luteolin， apigenin， gallic acid and quercetin were screened and identified from E. humifusa. Through bioinformatics analysis， these components and AKI have a total of 289 targets， of which 62 are core targets， including Akt1， TNF， tumor protein p53（TP53） and IL-1β. These targets are mainly involved in the regulation of biological processes such as NF-κB signaling pathway， HIF-1 signaling pathway， TNF signaling pathway， PI3K/Akt signaling pathway and mitogen-activated protein kinase（MAPK） signaling pathway. In animal experiments， we successfully constructed a GM-induced AKI model in rats. Compared with the model group， E. humifusa extract could significantly reduce the levels of 24 hUTP， BUN and SCr in rats （P<0.01）， indicating its improvement effect on renal function. In addition， the extract of E. humifusa also significantly reduced LDH activity and MDA content in rat kidney tissue （P<0.05， P<0.01）， and significantly increased SOD， NOS activity and GSH content （P<0.05）， indicating that the extract of E. humifusa has the potential of anti-oxidation and protection of renal function. Further analysis of inflammatory factors showed that the levels of IL-6 and TNF-α in serum of rats treated with E. humifusa extract were significantly decreased （P<0.01）， indicating that E. humifusa extract had anti-inflammatory effects. In addition， the extract of E. humifusa can also regulate the protein expression of PI3K/Akt/NF-κB signaling pathway， which further confirmed its mechanism of reducing GM-induced AKI. ConclusionThe extract of E. humifusa has a significant therapeutic effect on acute kidney injury through its multi-component and multi-target mechanism. Its effect is reflected in improving renal function， anti-oxidation， anti-inflammation and regulating immune response. These findings provide a scientific basis for the application of E. humifusa in the treatment of acute kidney injury， and point out the direction for future drug development and clinical research.

BACKGROUND:Multiple studies have confirmed that mitogen-activated protein kinase(MAPK)signaling pathway is involved in cell proliferation,and microRNA(miR)is involved in the occurrence and development of hypertrophic scars.Therefore,the role of miR-27a-3p and MAPK signaling pathways in pathological scar formation has been further explored. OBJECTIVE:To explore the effect of miR-27a-3p on the proliferation of human hypertrophic scar fibroblasts through the MAPK signaling pathway. METHODS:The primary fibroblasts were isolated and collected from the skin samples.The primary fibroblasts were observed by inverted microscope and verified by immunofluorescence.The relative expression level of miR-27a-3p in tissues was detected by qRT-PCR.The target genes of hsa-miR-27a-3p were predicted using the database,and then the predicted target genes were enriched by gene ontology function analysis and biological pathway enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes.There were seven groups:blank control,negative control,miR-27a-3p mimic,miR-27a-3p inhibitor,miR-27a-3p mimic+p38 MAPK inhibitor,miR-27a-3p mimic+extracellular regulated protein kinase inhibitor,miR-27a-3p mimic+c-Jun N-terminal kinase inhibitor.Western blot was used to detect the levels of extracellular regulated protein kinase,c-Jun N-terminal kinase inhibitor.and p38 kinase and their phosphorylation levels.Cell counting kit-8 and EdU were used to detect cell proliferation. RESULTS AND CONCLUSION:Compared with normal skin fibroblasts,hypertrophic scar fibroblasts had stronger proliferative activity(P<0.05)and faster proliferation level(P<0.001).Compared with normal skin,miR-27a-3p was highly expressed in hypertrophic scars(P<0.001).Compared with the negative control group,overexpression of miR-27a-3p could promote cell proliferation activity(P<0.001)and proliferation levels(P<0.001).Compared with the negative control group,knockdown of miR-27a-3p could inhibit the proliferation activity(P<0.05)and proliferation levels(P<0.001).Compared with the negative control group,overexpression of miR-27a-3p promoted the phosphorylated levels of extracellular regulated protein kinase,c-Jun N-terminal kinase,and p38 mitogen-activated protein kinase(P<0.05).Compared with the negative control group,knockdown of miR-27a-3p inhibited the phosphorylated levels of extracellular regulated protein kinase,c-Jun N-terminal kinase,and p38 MAPK(P<0.05).Compared with the miR-27a-3p mimic group,specific inhibitors of extracellular regulated protein kinase,c-Jun N-terminal kinase,and p38 MAPK reversed the effects of miR-27a-3p on the proliferative activity(P<0.01)and proliferation level(P<0.001)of fibroblasts.To conclude,these results suggest that miR-27a-3p promotes the proliferation of human hypertrophic scar fibroblasts by activating the MAPK signaling pathway.

[Purpose]To analyze the lifetime risk of developing and dying from lung cancer at global and regional levels.[Methods]Data of lung cancer incidence and mortality were obtained from GLOBOCAN 2022 and the population and all-cause mortality data were obtained from the United Nations.The lifetime risk of developing and dying from lung cancer globally and across different regions was estimated by multiple primary adjustment method.[Results]The global lifetime risk of developing lung cancer was 3.59％[95％confidence interval(CI):3.58％～3.59％],ranking third among all cancer types.There were significant gender and regional differences in lifetime risk values.The risk for male was 4.43％(95％CI:4.42％～4.44％),which was higher than that for female(2.71％,95％CI:2.70％～2.72％),with a male-to-female ratio of 1.63.Among regions with varying human development index(HDI)levels,the risk increased with HDI levels,in very high HDI re-gions risk was 5.36％(95％CI:5.34％～5.37％),while in low HDI regions the risk was 0.34％(95％CI:0.33％～0.34％).Among the 20 global regions,East Asia had the highest lifetime risk of 7.53％(95％CI:7.52％～7.55％),while West Africa had the lowest risk of 0.16％(95％CI:0.16％～0.17％).The global lifetime risk of dying from lung cancer was 2.78％(95％CI:2.78％～2.78％),ranking the first among all cancer types.There were significant sex and regional differ-ences in lifetime death risk values.The risk for male was 3.64％(95％CI:3.63％～3.64％),which was higher than that for female(1.89％,95％CI:1.89％～1.90％),with a male-to-female ratio of 1.93.Among regions with varying HDI levels,the risk increased with HDI levels,in very high HDI re-gions the risk was 3.98％(95％CI:3.97％～3.99％),while in low HDI regions the risk was 0.31％(95％CI:0.31％～0.31％).Among the 20 global regions,the Federated States of Micronesia/Poly-nesia had the highest death risk of 5.80％(95％CI:4.98％～6.62％),while West Africa had the lowest risk of 0.15％(95％CI:0.15％～0.16％).The lifetime risk of developing and dying from lung cancer in China was 7.54％(95％CI:7.52％～7.56％)and 5.88％(95％CI:5.87％～5.90％),respec-tively,both ranking the first among all cancer types.[Conclusion]The lifetime risk of developing and dying from lung cancer remains high globally and across different regions,with a particularly heavy burden in high-HDI areas.In China,both the lifetime risk of developing and dying from lung cancer are higher than the global average.This highlights the need for continued enhance-ment of comprehensive prevention and control measures,including addressing lung cancer-related risk factors,as well as improving screening,early diagnosis,and treatment efforts to reduce the lung cancer burden.

Objective To investigate whether the application of automated software for computed tomography angiography(CTA)and computed tomography perfusion imaging(CTP)can improve in-hospital workflow for endovascular treatment(EVT)in acute ischemic stroke patients.Methods We included patients with acute ischemic stroke who received CTA and CTP evaluation followed by EVT through the stroke emergency pathway at the Affiliated Hospital of Southwest Medical University between January 1,2020 and December 30,2022.The patients were divided into two groups:control group and artificial intelligence(Al)group based on whether automated software was used for assessment.The control group consisted of patients who underwent manual post-processing of multimodal imaging before June 2021,while the AI group was composed of patients whose imaging was processed with automated software from July 2021 onwards.The primary outcome was door-to-puncture time(DPT),and the secondary outcome was the 90-day modified Rankin Scale(mRS)score.Results A total of 312 patients were included,with 145 in the control group and 167 in the AI group.The median age of all the patients was 68 years(range:58-74 years),and 55.4％(173 patients)were male.The median National Institutes of Health Stroke Scale(NIHSS)score at presentation was 16 scores(range:12-19 scores).The median DPT was reduced from 110 min(range:80-150 min)before the use of automated software to 95 min(range:65-125 min)after its implementation(P＜0.001).However,there was no significant difference in the proportion of patients achieving functional independence(mRS score of 0-2)between the two groups(39.3％vs.41.3％,P=0.719).Conclusion The application of multimodal CT automated software improves the in-hospital workflow for acute ischemic stroke patients by reducing the time to EVT.However,the software did not significantly impact neurological functional outcomes as measured by the mRS.

Objective To investigate the effects of obesity-related indexes on cardiovascular autonomic nervous function in type 2 diabetes mellitus(T2DM)patients.Methods A total of 421 T2DM patients treated in the Department of Endocrinology of Gansu Provincial People's Hospital were enrolled in this study from October 2020 to October 2023.All the patients were divided into simple T2DM group with VFA<100 cm2(n=193)and obese group with VFA≥100 cm2(OB,n=228)according to visceral fat area(VFA).BMI,waist-to-height ratio(WHtR),waist-to-hip ratio(WHR),lipid accumulation index(LAP),visceral fat index(VAI),Chinese visceral fat index(CVAI),tapeness index(CI),body shape index(ABSI),and body roundness index(BRI)were calculated.Time domain parameters of heart rate variability(HRV)in 24 h holter electrocardiogram were recorded,including the global standard deviation(SDNN)of normal sinus RR interval,standard deviation of mean value of sinus RR interval(SDANN),root mean square difference(RMSSD)of normal continuous sinus RR interval.The percentage of adjacent RR interval difference>50 ms in total interval(PNN50),the HRV triangle index,the standard deviation of the difference of the entire adjacent NN interval length(SDSD).Results Compared with T2DM group,the OB group showed an increase in age,weight,BMI,WC,hip circumference(HC),neck circumference(NC),SBP,HbA1c,TG,SUA,CI,WHtR,WHR,VFA,SFA,VAI,LAP,CVAI,and BRI(P<0.05 or P<0.01),while a decrease in HDL-C(P<0.05).The SDNN,SDANN,SDSD,RMSSD,HRV trigonometric index,and PNN50 were lower in OB group than in T2DM group(P<0.05 or P<0.01).Spearman correlation analysis showed that SDNN and HRV trigonometric index was negatively correlated with age,DM duration,HR,SBP,PWV,WHtR,TG,SUA,VAI,LAP,BRI,VFA,LAP,and CVAI(P<0.05 or P<0.01).Logistic regression analysis shows that age,VFA,and LAP are influencing factors for cardiac autonomic dysfunction.The analysis of the working characteristic curve of the subjects showed that the area under the curve of VFA,age,and LAP in predicting cardiovascular autonomic dysfunction was 0.680,0.614,and 0.577,with sensitivity of 87.5%,41.7%,and 61.8%,and specificity of 47.3%,73.6%,and 55.6%respectively.Conclusions BMI,HC,NC,WC,TG,SFA,CI,WHtR,WHR,LAP,BRI,VAI,CVAI and VFA are closely related to cardiovascular autonomic nervous function in T2DM patients.As VFA,Ageand LAP increase,the risk of cardiovascular autonomic dysfunction increases.

Objective:To summarize and analyze the clinical characteristics of patients with antibody mediated rejection (AMR) after lung transplantation at China-Japan Friendship Hospital, thereby providing references for clinical management.Methods:A retrospective study was conducted by collecting clinical data of 34 lung transplant recipients (LTRs) diagnosed with AMR between March 2017 and September 2023. The diagnosis of AMR was based on the 2019 International Society for Heart and Lung Transplantation (ISHLT) consensus. Baseline characteristics, primary diseases, pre-diagnostic events, diagnosis, treatment regimens, and outcomes were summarized and analyzed. According to outcomes at the final follow-up (March 31, 2024), patients were divided into survival group (22 cases) and death group (12 cases), and the differences in clinical characteristics and treatments were compared.Results:The incidence of AMR among 551 LTRs was 6.2% (34/551). Among the 34 AMR recipients, 79.4% (27/34) were male, and the median age was 64.0 (54.5, 67.3) years. The primary underlying disease was interstitial lung disease (79.4%). Based on diagnostic classification, 73.5%(25/34) were clinical AMR and 26.5% (9/34) were subclinical AMR. Regarding diagnostic levels, 11.8%(4/34) were proven AMR, 50.0% (17/34) probable AMR, and 38.2%(13/34) possible AMR. Pre-transplant sensitization was detected in 2 patients (5.9%). Post-transplant HLA antibody testing revealed 79.4%(27/34) positive for HLA class Ⅱ antibodies (most commonly DQ7) and 85.3%(29/34) had newly developed HLA antibodies, of which 82.4%(28/34) were de novo donor-specific antibodies (DSA). The most common clinical manifestations were exertional dyspnea(67.6%) and decreased pulse oxygen saturation(47.1%). Chest imaging mainly showed new consolidations or patchy opacities (55.9%), followed by ground-glass opacities (32.4%) and pleural effusion (20.6%). Regarding treatment, 94.1% (32/34) received intravenous immunoglobulin (IVIG), 88.2%(30/34) underwent plasma exchange, and 41.2%(14/34) received intravenous glucocorticoid (IVGC). The most common regimens were "plasma exchange+IVIG" and "IVGC+plasma exchange+IVIG+rituximab", each used in 23.5%(8/34) of cases. The complete HLA antibody clearance rate after treatment was 38.2%. The mortality rates at 3 months, 1 year, and final follow-up after AMR diagnosis were 8.8%, 23.5%, and 35.3%, respectively, with a median survival time of 243.0(96.3, 572.3) days. The survival group had a significantly higher rate of tacrolimus-based triple immunosuppressive therapy (glucocorticoid+tacrolimus+mycophenolate moftil) compared to the death group [86.4% (19/22) vs 50.0% (6/12), P=0.040], while rituximab usage was higher in the death group [75.0% (9/12) vs 13.6% (3/22), P=0.008]. Conclusions:Although AMR after lung transplantation is relatively rare, its diagnosis is challenging, antibody clearance rate after treatment is low, and clinical outcomes are poor, requiring heightened clinical vigilance.

Objective To analyze the characteristics and drug resistance of pathogenic bacteria isolated from patients undergoing solid organ transplantation(SOT)at West China Hospital,Sichuan University in re-cent years,in order to provide a basis for empirical anti infective treatment after SOT surgery.Methods A retrospective analysis was conducted on the isolation of major pathogens and their resistance to common anti-biotics from various specimens collected from patients undergoing kidney transplantation(KT),liver trans-plantation(LTx),and lung transplantation(LT)at West China Hospital,Sichuan University from 2017 to 2022.Results A total of 1 077 non-duplicate strains of pathogens were isolated from the samples of patients with infections after SOT surgery during the 6-year period,of which approximately 74.8％(806/1 077)were Gram negative bacteria and 25.2％(271/1 077)were Gram positive bacteria.There were differences in the distribution of pathogenic bacteria among different types of SOT groups and different specimens.Compared to E.coli isolated from urine specimens,the strains of E.coli isolated from non-urinary specimens exhibited a higher resistance rate to common antimicrobial drugs(P＜0.05).The resistance rate of E.coli to β-lactam/β-lactamase inhibitor combinations(cefoperazone/sulbactam and piperacillin/tazobactam)in the LTx group was significantly higher than that in the KT group(P＜0.05).The overall proportion of multidrug-resistant bac-teria after SOT surgery was 11.3％(122/1 077).The proportion of carbapenem resistant Acinetobacter bau-mannii and carbapenem resistant Pseudomonas aeruginosa among the same group and type of pathogens in the LTx group(93.8％,37.5％)was significantly higher than that in the KT group(55.8％,9.2％).Conclusion The specimen types and strain distribution of pathogenic bacteria after different types of SOT surgery are different.The same pathogenic bacteria have different antibiotic resistance among different types of SOT groups and specimens.Therefore,it is necessary to strengthen the pathogen examination after different types of SOT and optimize the anti infection treatment plan related to transplantation based on drug sensitivity re-sults.

Objective To observe the value of three-dimensional ultrasound combined with microvascular flow imaging for prenatal diagnosis of fetal intracranial anomalies.Methods Totally 118 fetuses with intracranial anomalies diagnosed through cranial MRI/induced labor specimen dissection who underwent prenatal ultrasound examination were retrospectively enrolled.Two-dimensional,three-dimensional ultrasound and microvascular flow imaging manifestations of fetal intracranial anomalies were observed,and the accuracy of three-dimensional ultrasound combined with microvascular flow imaging for prenatal diagnosis of fetal intracranial anomalies was analyzed.Results The accuracy of three-dimensional ultrasound combined with microvascular flow imaging for prenatal diagnosis of fetal intracranial anomalies was 93.22％(110/118),of isolated and non-isolated intracranial anomalies was 97.47％(77/79)and 84.62％(33/39),respectively.Six fetuses were missed diagnosis of malformations of cortical development(1 fetus of tuberous sclerosis,4 of abnormal morphology of the sulci gyrus and 1 of schizencephaly)and 1 fetus of intracranial softening lesion,while posterior fossa arachnoid cyst in 1 fetus was misdiagnosed as mega cisterna magna.Conclusion The accuracy of three-dimensional ultrasound combined with microvascular flow imaging for prenatal diagnosis of fetal intracranial anomalies was relatively high.

Objective To observe the value of prenatal ultrasound for diagnosing fetal intracranial arachnoid cyst(IAC)and predicting outcomes.Methods A total of 240 fetuses with IAC confirmed by fetal brain MR examination or clinical follow-up were retrospectively enrolled,and the prenatal ultrasonic manifestations were observed.The outcomes of pregnancy were recorded,and the neurological development and treatment after birth were regularly followed up,then the fetuses were classified into good outcome or poor outcome groups.Univariate and binary logistic regression were used to analyze clinical data and prenatal ultrasonic findings,and the impact factors of outcomes of fetal IAC were screened.Results Among 240 fetuses,IAC located in the supratentorial area in 192(192/240,80.00％)and in the infratentorial area in 48(48/240,20.00％)fetuses.The size of IAC was 0.3-6.2 cm,with an average of(1.4±0.9)cm.Single lesion was found in 230 fetuses(230/240,95.83％),while multiple lesions were detected in 10 fetuses(10/240,4.17％).IAC presented as thin-walled cystic echoes with clear intracranial boundaries and good intracapsular sound transmission in all 240 fetuses,including 150(150/240,62.50％)with simple IAC and 90(90/240,37.50％)complicated with intracranial or other system malformations.Totally 189 fetuses were delivered successfully,while 51 underwent induction of labor.The newborns were followed up to 6-84 months.Among 240 fetuses with IAC,171(171/240,71.25％)had good outcome and 69(69/240,28.75％)had poor outcome.The size,number of lesion and whether combined with malformations or not on prenatal ultrasound and gender were all independent impact factors of outcomes of fetal IAC(OR=1.558,6.323,0.911,2.662,all P＜0.05).Conclusion Prenatal ultrasound could accurately diagnose and predict the outcomes of fetal IAC.