Objective Exploring genetic differences among geographic strains of Anopheles sinensis in China. Methods Based on the mitochondrial cytochrome oxidase subunit I(COⅠ )and ribosomal the second internal transcribed spacer(ITS2), genetic distance analyses were conducted on An. sinensis samples collected nationwide. Results Genetic differentiation was observed within An. sinensis geographic strains, primarily reflected in the genetic distances of COⅠ sequences, with some distances between samples exceeding those between closely related species. However, ITS2 sequences showed relatively low levels of differentiation within geographic strains. No significant separation was observed, and gene exchange exhibited a random pattern among geographic strains. Conclusions Significant differences in genetic distance were observed among An. sinensis samples, along with evidence of interspecific continuity among sibling species. For the identification of closely related species using wild-collected Anopheles mosquitoes samples, reliance solely on commonly used barcodes such as COⅠ and ITS2 may be insufficient. Additional molecular markers, including COⅡ and D3 gene fragments, should also be considered. Caution should be exercised when using COⅠ genes to identify cryptic species, especially within Anopheles mosquitoes.

Objectives: . The prognostic value of the pretreatment albumin-to-alkaline phosphatase ratio (AAPR) in head and neck cancer (HNC) remains uncertain. This meta-analysis aimed to evaluate the predictive role of AAPR for survival outcomes in patients with HNC. Methods: . A comprehensive search of the Cochrane Library, PubMed, and Embase databases was conducted to identify relevant studies published up to July 30, 2024. We included studies on AAPR and survival outcomes in HNC patients. Results: . Eight studies comprising 1,737 HNC patients were analyzed using random-effects models. Lower AAPR values were significantly correlated with worse overall survival (hazard ratio [HR], 2.08), progression-free survival (HR, 2.00), and disease-free survival (HR, 2.18). Sensitivity analyses confirmed the robustness of these results, with no significant publication bias detected. Conclusion . Our findings suggest that pretreatment AAPR could serve as a valuable and cost-effective prognostic indicator in HNC, potentially aiding clinicians in risk stratification and treatment decision-making. However, additional validation studies are warranted to confirm its clinical applicability.

ObjectiveTo investigate the impact of Buzhong Yiqitang combined with cisplatin on the proliferation of human lung adenocarcinoma （A549） cells through regulation of the pyruvate dehydrogenase kinase 1 （PDK1）/protein kinase B （Akt） signaling pathway and influence on glycolysis. MethodsTranscriptome sequencing （RNA-seq） was employed to compare the expression of glycolysis-related genes between A549 cells and cisplatin-resistant human lung adenocarcinoma cells （A549/DDP）. Small interfering RNA （siRNA） was employed to knock down PDK1， and the knockdown efficiency was verified by Western blot and Read-time PCR. The cell counting kit-8 （CCK-8） assay was used to assess the survival and viability of A549 cells under the following conditions： siRNA negative control+cisplatin （128， 64， 32， 16， 8， 4， 0 μmol·L^-1）， siPDK1+cisplatin （128， 64， 32， 16， 8， 4， 0 μmol·L^-1）， and siPDK1+cisplatin （128， 64， 32， 16， 8， 4， 0 μmol·L^-1）+Buzhong Yiqitang （10%）-containing serum. The 20% inhibitory concentration （IC₂₀） of the siRNA negative control+cisplatin group （7.832 μmol·L^-1） was calculated and used as the subsequent cisplatin concentration. Colony formation assay was performed to evaluate the proliferation of A549 cells. Lactate and adenosine triphosphate （ATP） assay kits were used to measure lactate and ATP production. The mitochondrial membrane potential was detected with the fluorescent probe JC-1. Western blotting was conducted to examine the expression levels of PDK1， phosphorylated （p）-Akt， Akt， pyruvate kinase M2 （PKM2）， glucose transporter 1 （GLUT1）， pyruvate dehydrogenase （PDH）， and lactate dehydrogenase A （LDHA）. Confocal immunofluorescence was employed to detect PDK1 and p-Akt. ResultsRNA-seq results identified PDK1 as a highly expressed differential gene in glycolysis metabolism between A549 cells and A549/DDP cells， and it was highly expressed in tumor cells. Gene Set Enrichment Analysis （GSEA） revealed upregulated and downregulated genes in glycolysis and gluconeogenesis pathways. Western blot and RT-qPCR confirmed that PDK1-si-2 had the highest transfection efficiency， with a PDK1 knockdown rate exceeding 60%. CCK-8 assay determined the half-maximal inhibitory concentration （IC₅₀） values for each group as （30.698±5.348）， （16.372±3.562）， （13.237±1.573） μmol·L^-1， while the IC₂₀ of cisplatin in siRNA negative control-transfected A549 cells was （7.832±0.672） μmol·L^-1. Compared with the siRNA negative control group， the siRNA negative control+cisplatin group showed decreased colony formation rate， reduced lactate production， lowered mitochondrial membrane potential， downregulated protein levels of p-Akt， GLUT1， PDK1， PDH， and LDHA， and reduced PDK1 fluorescence intensity （P<0.05）. The siPDK1 group exhibited decreased colony formation rate， reduced lactate production， increased ATP production， lowered mitochondrial membrane potential， downregulated protein levels of p-Akt， PKM2， GLUT1， PDK1， PDH， and LDHA， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. Compared with the siPDK1 group， the siPDK1+Buzhong Yiqitang group showed decreased colony formation rate， reduced lactate production， downregulated protein levels of PKM2， GLUT1， and PDK1， and reduced PDK1 fluorescence intensity （P<0.05）. The siPDK1+cisplatin group exhibited decreased colony formation rate， reduced lactate production， increased ATP production， lowered mitochondrial membrane potential， downregulated protein levels of PKM2， GLUT1， PDK1， and PDH， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. The siPDK1+cisplatin+Buzhong Yiqitang group demonstrated decreased colony formation rate， reduced lactate production， increased ATP production， lowered mitochondrial membrane potential， downregulated protein levels of p-Akt， PKM2， GLUT1， PDK1， PDH， and LDHA， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. Compared with the siPDK1+Buzhong Yiqitang group， the siPDK1+cisplatin group showed decreased colony formation rate， downregulated protein levels of p-Akt and PDH， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. The siPDK1+cisplatin+Buzhong Yiqitang group exhibited decreased colony formation rate， reduced lactate production， increased ATP production， lowered mitochondrial membrane potential， downregulated protein levels of p-Akt， GLUT1， PDH， and LDHA， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. Compared with the siPDK1+cisplatin group， the siPDK1+cisplatin+Buzhong Yiqitang group showed decreased colony formation rate， increased ATP production， and downregulated protein levels of p-Akt， PKM2， and LDHA （P<0.05）. ConclusionBuzhong Yiqitang combined with cisplatin can suppress lung adenocarcinoma cell proliferation by modulating glycolysis through the PDK1/Akt signaling pathway.

Objective:To understand the incidence and epidemiological characteristics of enteritis due to norovirus infection in Guizhou Province from 2016 to 2023, and provide reference for the prevention and control of enteritis caused by norovirus.Methods:The data were from National Notifiable Infectious Disease Reporting System of China Information System for Disease Control and Prevention. To collect the data of other infectious diarrhea cards in Guizhou from 2016 to 2023, which were annotated as enteritis due to norovirus and food-borne disease surveillance sentinel report in Guizhou, which were positive for norovirus detection. The data of cluster/outbreaks were from the Public Health Emergency Event Surveillance System and the field investigation reports of CDC at all levels. Descriptive epidemiological method was used to describe the characteristics of its three-dimension distribution, epidemic situation and pathogen spectrum. R 4.2.2 software was used for statistical analysis.Results:A total of 2 340 cases of enteritis due to norovirus were reported in Guizhou Province during this period, with an average annual reported incidence of 0.79/100 000, and the incidence showed an upward trend (trend χ2=1 723.80, P<0.001). The high incidence season is from October to March (winter and spring). The male to female ratio of the cases was 1.39∶1 (1 362∶978). A total 1 382 cases occurred in age group under 5 years old (59.06%) and 1 249 cases occurred in children living scatteredly (53.38%). The average annual reported incidence in 6 prefectures (muniipality)(1.15/100 000 in Qiandongnan Miao and Dong Autonomous Prefecture, 1.08/100 000 in Guiyang, 1.07/100 000 in Liupanshui, 1.06/100 000 in Qianxinan Buyi and Miao Autonomous Prefecture, 0.91/100 000 in Qiannan Buyi and Miao Autonomous Prefecture and 0.89/100 000 in Tongren) in Guizhou Province was higher than provincial level, and the affected areas gradually expanded from southeastern counties (districts) to western and northern counties (districts). The average annual reported incidence rate was higher in urban area (1.12/100 000) than in rural area (0.39/100 000). A total of 31 cluster/outbreaks of enteritis due to norovirus were reported, in which 83.87% (26/31) occurred in child care settings, primary and secondary schools, in which 74.19% (23/31) were caused by human-to-human transmission. In the 2 340 cases, 2 147 were laboratory diagnosed (91.75%), and 193 were clinically diagnosed (8.25%). In the laboratory diagnosed cases, 2 026 (94.36%) were caused by single norovirus infection and 121 (5.64 %) were caused by mixed infection. Conclusions:On the whole, the incidence of enteritis due to norovirus in Guizhou Province was on the rise from 2016 to 2023, and winter and spring were the high incidence seasons. Effective prevention and control measures should be taken for key populations, key regions and key places, and multi-channel and multi-pathogen surveillance and health education should be strengthened.

Objective To explore the optimization strategy of Qishen Granules in treating coronary heart disease with heart failure(CHD-HF)based on data mining and the pathogenic"toxin"theory,and to predict its active components and mechanisms using network pharmacology.Methods Literature on traditional Chinese medicine(TCM)for treating CHD-HF was collected from relevant databases,and prescriptions were screened and established into a database according to inclusion and exclusion criteria.Frequency,association rules,and hierarchical clustering analyses were performed using the Ancient and Modern Medical Case Cloud Platform.Network pharmacology techniques were applied to screen potential targets of the optimized combination for treating CHD-HF,and carry out the targets and pathways enrichment analysis.Results A total of 336 articles and 339 prescriptions involving 191 herbs were included,with 12 herbs used more than 100 times.The core drug combinations for treating CHD-HF included Astragali Radix,Poria,Salviae Miltiorrhizae Radix et Rhizoma,Glycyrrhizae Radix et Rhizoma,Chuanxiong Rhizoma,etc,while commonly used detoxifying herbs included Leonuri Herb,Coptidis Rhizoma,etc.Association rule analysis yielded 10 two-item associations and 17 three-item associations;clustering analysis grouped the data into 5 categories.Based on data mining and the pathogenic"toxin"theory,the combination for treating CHD-HF was optimized to include Astragali Radix,Salviae Miltiorrhizae Radix et Rhizoma,Aconiti Lateralis Radix Praeparata,Glycyrrhizae Radix et Rhizoma,Coptidis Rhizoma,and Taraxaci Herba.Network pharmacology analysis identified 366 common targets between the optimized combination and CHD-HF,with 16 core targets screened out.Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis revealed significant enrichment in pathways such as cancer pathways,lipid and atherosclerosis,Rap1 signaling pathway,hypoxia-inducible factor 1(HIF-1)signaling pathway,phosphatidylinositol-3-kinase/protein kinase B(PI3K/Akt)signaling pathway,Ras signaling pathway,and mitogen-activated protein kinase(MAPK)signaling pathway.Conclusion TCM treatment for CHD-HF primarily focuses on replenishing qi and warming yang,activating blood circulation and resolving fluid retention.Based on data mining results and the pathogenic"toxin"theory,the formulation strategy of Qishen Granules for treating CHD-HF was optimized,potentially exerting therapeutic effects through anti-inflammatory,anti-apoptotic,and anti-hypoxia physiological processes.

Objective To investigate the role of the neutrophil-to-lymphocyte ratio(NLR)in predicting the in-hospital mortality risk of patients with acute aortic dissection(AAD)in multicenter hospitals.Methods A multicenter retrospective cohort study was conducted.Clinical data were collected from 2642 AAD patients who were hospitalized in five teaching hospitals:Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology,Henan Provincial People's Hospital,Fuwai Central China Cardiovascular Hospital,the Third Affiliated Hospital of Xinxiang Medical University,and the Second Affiliated Hospital of Chongqing Medical University between August 2010 and December 2021.According to the quartiles of serum NLRlevels,the patients were divided into four groups:first quartile(Q1,n=660),second quartile(Q2,n=661),third quartile(Q3,n=661),and fourth quartile(Q4,n=660).The clinical characteristics and biochemical indicators of each group were compared.Partial correlation analysis was used to assess the relationship between NLR and cardiovascular parameters.Restricted cubic splines,Kaplan-Meier survival analysis,and Cox regression models were employed to evaluate the association between NLR levels and in-hospital mortality risk in AAD patients.Results The median age of all patients was 54[interquartile range(IQR):46-63]years,including 2096 males and 546 females.Compared with Q1-Q3 groups,patients inQ4group had a lower incidence of smoking history and diabetes history,and were more likely to have DeBakey type Ⅰ AAD(P＜0.05).Additionally,the levels of aspartate aminotransferase,high-density lipoprotein cholesterol,creatinine,and D-dimer in Q4 group were higher,while the levels of triglycerides and C-reactive protein(CRP)were lower(P＜0.01).The results of partial correlation analysis showed that the plasma NLR level was positively correlated with D-dimer(r=0.43,P＜0.01)and creatinine(r=0.16,P＜0.01).The restricted cubic spline function in the Cox model revealed a significant non-linear relationship between the plasma NLR level and clinical outcomes in AAD patients(P＜0.01).Kaplan-Meier survival analysis indicated that patients in Q4 group had the highest in-hospital mortality rate compared with Q1-Q3 groups(P＜0.0001).Furthermore,multivariate Cox regression analysis demonstrated that compared with Q1 group,the hazard ratio(HR)of NLR in Q4 group was 1.77(95％CI 1.33-2.37,P＜0.001),which was an independent risk factor for the primary endpoint events.Conclusion A higher plasma NLR level is significantly associated with the occurrence of cardiovascular events in AAD patients,and this association remains significant even after adjusting for potential confounding factors such as the multicenter visiting hospitals.

Objective To investigate plasma protein expression changes in heatstroke patients using proteomics technology and to identify reliable prognostic biomarkers.Methods A retrospective analysis was conducted on 20 heatstroke patients hospitalized at the 908th Hospital of the Chinese PLA Joint Logistics Support Force from July 2022 to February 2024.Patients were divided into survival(n=16)and death groups(n=4)based on 28-day outcomes.Fasting venous blood samples were collected from both groups for proteomic analysis.Liquid chromatography-mass spectrometry(LC-MS/MS)was used to identify and screen differentially expressed proteins.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment analyses were performed.LASSO regression was applied to screen key prognostic biomarkers,and receiver operating characteristic(ROC)curve analysis was used to evaluate their predictive value.Results A total of 27 upregulated and 90 downregulated proteins were identified between the two groups.These proteins were primarily involved in biological processes such as immune responses,complement activation,and metabolic processes.LASSO regression analysis indicated that actin-related protein 2(ARP2),cysteine-rich scavenger receptor type 1 M130(CD163),and catalase(CAT)could serve as effective biomarkers for evaluating heatstroke prognosis.ROC curve analysis demonstrated that ARP2 had higher diagnostic efficacy(AUC=0.98,sensitivity=0.80,specificity=1.00)compared to CD163(AUC=0.94,sensitivity=0.76,specificity=1.00),CAT(AUC=0.96,sensitivity=0.67,specificity=1.00),and acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(AUC=0.79,sensitivity=0.44,specificity=1.00).Conclusion Elevated plasma ARP2 level has good clinical value for predicting poor prognosis in heatstroke patients.

Objective To construct a predictive model for high-grade pathological components of early invasive lung adenocarcinoma(ILAC)based on radiomics.Methods Collecting information on total 495 patients who underwent radical operation and were pathologically diagnosed as stage Ⅰ in the cardiothoracic surgery of Zhoushan Hospital from January 2015 to December 2019,including gender,age,pathological findings,tumor markers and preoperative chest CT images.The micropapillary and solid components in postoperative pathology were defined as"high-grade pathological components",while those without high-grade pathological components were classified into the low-grade group and those with high-grade pathological components were classified into the high-grade group.And patients were randomly divided into the training set(343 cases)and the validation set(152 cases)with a ratio of 7∶3 using the simple randomization grouping method.The region of interest of nodules on CT images were delineated layer by layer by scientific research platform and 1950 radiomics features were extracted.And then those features were filtrated by F-test,Pearson correlation coefficient,and L1 based feature selection.A model was built by using Logistic regression machine learning classifier,named mod 2,and radscore was also obtained.Differences between general information and CT features were analyzed.Binary Logistic regression analysis was used to construct a model for statistically significant variables,named mod 1.At the same time,Radscore was added to build the mod and named comb mod.The area under the curve(AUC),sensitivity and specificity of the three models were calculated.A nomogram was also drawn.Results A total of 495 patients were divided into the training set(n=343)and the validation set(n=152).Gender,carcinoma embryonic antigen(CEA),nodule,and maximum diameter were screened out in clinical features and involved in constructing the mod 1.Twelve features were selected from the radiomics features to build mod 2.Comb mod performed best,training set AUC:0.887,validation set AUC:0.875,and had good clinical practicability.Conclusion The model composed of general feature,CT feature and radiomics features could accurately predict high-grade pathological components in early ILAC,and provide references for clinicians to choose surgical method for patients.

Objective To examine the predictive value of coronary artery calcification score on low-dose helical CT(LDCT)in patients with unstable angina pectoris.Methods One hundred thirty-two patients with unstable angina who underwent LDCT and coronary angiography(CAG)were retrospectively analyzed.Clinical characteristics,calcification scores,and CAG findings were recorded.Patients underwent follow-up to record the occurrence of major adverse cardiovascular events(MACE).Univariate and multivariate analyses were performed to determine the relationship between calcification score and severity of disease.Results(1)LDCT calcification score significantly differed between the no-vessel disease,single-vessel disease,two-vessel disease,and three-vessel disease groups(P=0.001).LDCT calcification score was associated with three-vessel disease on CAG.For each 100-point increase in LDCT calcification score,the probability of three-vessel disease increased by 12％(95％CI 1.04-1.20,P=0.003).Compared with patients with mild calcification(score＜100 Agatston units),patients with moderate(score 100-399 Agatston units)and severe(score≥400 Agatston units)calcification were 3.69 times(95％CI 1.27-10.76,P=0.017)and 5.48 times(95％CI 1.87-16.02,P=0.002)more likely to have three-vessel disease,respectively.(2)Patients with LDCT calcification score≥ 196.05 Agatston units were more likely to have three-vessel disease.The sensitivity,specificity,and accuracy of LDCT calcification score≥ 196.05 Agatston units for diagnosing three-vessel coronary artery disease was 0.72,0.65,and 0.67,respectively;the area under the receiver operating characteristic curve was 0.699.(3)The odds of coronary revascularization during follow-up were 8.23 times(95％CI 1.12-60.67,P=0.039)higher in patients with severe calcification than in those without it.Conclusions LDCT can predict CAD in patients with unstable angina,especially severe disease,and is related to MACE.

Objective:To analyze the dynamic changes of serum exosome miR-552 and miR-653 levels in pa-tients with gastric cancer before and after chemotherapy and their relationship with clinical benefit.Methods:IA total of 128 patients with gastric cancer received chemotherapy from January 2022 to January 2024.According to the chemo-therapy effect,the two groups were divided into disease progression group and disease remission group.The levels of serum exosome miR-552 and miR-653 before and after chemotherapy were detected in the two groups,the risk fac-tors affecting the chemotherapy effect of gastric cancer patients were screened,the risk nomogram model was con-structed,and the efficacy was evaluated.Results:The proportion of TNM stage(Ⅲ+Ⅳ),lymph node metastasis,dis-tant metastasis,tumor size(>5 cm),invasion depth(T3/T4)and tumor growth pattern(invasive type)in disease progres-sion group was higher than that in disease remission group(P<0.05).The levels of serum exosomes miR-552 and miR-653 in disease progression group were higher than those in remission group before and after chemotherapy(P<0.05).Compared with before chemotherapy,miR-552 and miR-653 levels in both groups decreased(P<0.05).Logistic regres-sion analysis showed that TNM stage,lymph node metastasis,distant metastasis,tumor size,invasion depth,miR-552 and miR-653 were all risk factors affecting the chemotherapy efficacy of gastric cancer(P<0.05).ROC curve results showed that the AUC,95%CI,sensitivity and specificity of risk nomogram model to predict chemotherapy efficacy of gastric cancer were 0.867,0.672～0.991,92.80%and 80.40%,respectively(P<0.001).Calibration curve results showed that both predicted and actual predicted values were near the ideal curve,and the Hosmer-Lemeshow goodness of fit curve test χ2=1.869,P=0.782.Conclusion:The levels of serum exosomes miR-552 and miR-653 are closely related to the chemotherapy efficacy of gastric cancer,and dynamic monitoring of the above indexes is helpful for the evaluation of the disease and prognosis of gastric cancer.In this study,the risk nomogram model constructed based on the above indexes and other risk factors has high predictive value and clinical practicability for chemotherapy efficacy in patients with gastric cancer.