Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective:To explore the difference of type 2 innate lymphoid cell(ILC2),IL-9 and related cytokines between chronic lymphocytic leukemia(CLL)patients and normal individuals,as well as the correlation between ILC2 and IL-9 and other cytokines in CLL patients.Methods:Flow cytometry was used to detect the expression of ILC2 and regulatory T cells(Tregs)in peripheral blood of 26 CLL patients at initial diagnosis and 10 healthy controls.RT-qPCR was used to detected IFN-γ,TGF-β,IL-9 and IL-10 mRNA in peripheral blood mononuclear cell(PBMC).ELISA was used to detect serum IFN-γ,TNF-α,TGF-β,IL-9,IL-10 and IL-21.ILC2 and IL-9 were observed in the cervical lymph node of 12 CLL patients at initial diagnosis and 12 patients with reactive lymphoid hyperplasias by multiplex indirect immunofluorescence staining.Spearman test was used to analyze the correlation between peripheral blood ILC2 and IL-9,IL-9 and IL-21,IFN-γ mRNA and IL-10 mRNA in CLL patients.Pearson test was used to analyze the correlation between TNF-α and TGF-β in CLL patients.Results:Compared with control group,the proportions of ILC2 and Tregs were significantly increased in CLL group(both P＜0.05).The mRNA expressions of IFN-γ,IL-9,IL-10 and TGF-β in PBMCs of CLL patients were significantly increased(all P＜0.05).In CLL patients,the expressions of IFN-γ,TNF-α,TGF-β,IL-9 and IL-10 in serum were significantly increased(all P＜0.01),while IL-21 slightly increased without statistical difference(P＞0.05).In CLL patients,the peripheral blood ILC2 was positively related to IL-9(r=0.56),IL-9 was positively related to IL-21(r=0.397),IFN-γ mRNA was positively related to IL-10 mRNA(r=0.623),and TNF-α was positively related to TGF-β(r=0.577).Compared with reactive lymphoid hyperplasias patients,the mean fluorescence intensities of GAT A3 and CRTH2 representing ILC2 and IL-9 in cervical lymph nodes were significantly increased in the CLL group(all P＜0.001),and showed colocalization.Conclusion:In CLL patients,the proportions of ILC2 and IL-9 in peripheral blood and lymph nodes increase,and ILC2 and IL-9 show colocalization in lymph nodes.There is a positive correlation between ILC2 and IL-9 in the peripheral blood of CLL patients,the ability of ILC2 to secrete IL-9 is increased,and ILC2 may affect the occurrence and development of CLL through IL-9.

The ocean plays a critical role in the global carbon cycle,and base on the"dual carbon"goals,ocean carbon sinks have received widespread attention.Shellfish aquaculture is one of the most important sources of carbon sinks in fisheries,which has an important impact on the offshore carbon cy-cle.As global temperature rises and ocean acidification intensifies,the capacity of the ocean to absorb CO2 will change.However,the effects of high temperature on the physiology and transcriptome related to carbon metabolism in Mytilus coruscus are not clear enough.This study investigated the effects of high temperatures on the total carbon content,carbon metabolism,antioxidant-related enzyme activities,and the transcriptome of Mytilus coruscus.The results showed that high temperature significantly inhibited the activities of hexokinase and pyruvate kinase,increased carbonic anhydrase activity(P＜0.05),de-creased the ATP content of digestive glands(P＜0.05),and affected glycolysis and the tricarboxylic acid cycle,leading to a significant decrease in the mussel's ability to sequester carbon.High temperature re-sulted in significant(P＜0.05)increases in the levels of reactive oxygen species and malondialdehyde,and enhanced the activities of superoxide dismutase and catalase.Observations by transmission electron microscopy showed that high temperatures damaged the subcellular structure of the digestive gland in Mytilus coruscus,resulting in the shrinkage of the nucleolus,swelling of the endoplasmic reticulum,and a significant reduction in the mitochondrial cristae.Comparative transcriptomic analysis showed that the upregulated DEGs were mainly enriched in protein processing in the endoplasmic reticulum,antigen pro-cessing and presentation,and MAPK signaling pathway.The downregulated DEGs were mainly enriched in necroptosis,DNA replication,and the NF-kappa B signaling pathway.In antioxidant-related DEGs,the upregulated DEGs include vitamin K epoxide reductase,peroxidases,heat shock protein 105 kD,heat shock protein 70 kD,and superoxide dismutase;The downregulated DEGs mainly included NADPH oxidase,glutathione reductase,cytochrome b-245,cytochrome P450,and quinone reductase.The up-regulated genes enriched in the carbon metabolism pathway included chitinase,phosphatidylinositol 4,5-bisphosphate 3-kinase,phosphoenolpyruvate carboxykinase,galactokinase,and inositol trisphosphate 3-kinase.The downregulated genes included aldose-1-epimerase,carbonic anhydrase,galactose mutaro-tase,acyl-CoA synthetase,alcohol dehydrogenase,and hexokinase.In conclusion,high temperature has an inhibitory effect on the activities of enzymes and the expression of genes related to carbon metabolism in Mytilus coruscus.The results of this study are intended to provide a scientific basis for the healthy de-velopment of mussel aquaculture and the assessment of carbon sinks.

Objective To investigate the effect of operation mode,thickness,and number of implanted electrode leads on tricuspid regurgitation.Methods This was a single-center retrospective study.Patients who received their first cardiac implantable electronic device at the Second Affiliated Hospital of Harbin Medical University from January 2019 to January 2024 and were followed up within(10±4)months were continuously enrolled.General clinical data,preoperative and outpatient follow-up echocardiography,and other indicators were collected.According to the different operation modes,patients were divided into delivery sheath group,support wire group,and delivery sheath combined support wire group.Under the premise of only one electrode wire crossing the tricuspid valve,according to the different thicknesses of the electrode wire,they were divided into 3830 69 group(4.1 F),5076 58/Solia S60 group(7 F),and 6935M-65cm defibrillator group(9 F).The number of electrode wires was divided into 3830 69 subgroup and 6935M-65cm defibrillator subgroup under the premise of balanced operation mode and electrode material.The changes in tricuspid valve regurgitation were compared in each group.Results A total of 219 patients,aged(65.92±12.04)years,were enrolled.There was no difference in tricuspid valve regurgitation in the 6935M-65cm defibrillator subgroup before implantation(all P＞0.05).In the 3830 69 subgroup,there was a higher proportion of severe regurgitation in the two-electrode group before implantation(P=0.013).In comparison with the change in tricuspid valve regurgitation before electrode wire implantation and during follow-up,the regurgitation of the tricuspid valve in the 6935M-65cm defibrillator subgroup with≥2 electrodes was unexpectedly improved compared to that in the group with one electrode,and the regurgitation of the valve in the group with one electrode was more severe than that in the group with ≥ 2 electrodes implantation(P=0.019).Conclusions The operation mode and thickness of the implanted electrode lead did not cause significant differences in tricuspid valve regurgitation.Single implantation of a 6935M-65cm defibrillator electrode will lead to increased tricuspid regurgitation,and the effect brought by combination with physiological pacing will offset the adverse effects of electrode leads on the valve,providing directional evidence for future implantation strategy selection.

Excessive fat accumulation,viral infections and sustained inflammatory responses caused by non-alcoholic and alcoholic factors can contribute to liver inflammation,fibrosis and carcinogenesis,promoting the development of chronic liver disease.Gaining an in-depth understanding of the etiologic factors and underlying mechanisms that lead to chronic liver disease can help identify potential therapeutic targets for targeted therapy.Lactate,as an important substance in hepatic metabolism,has been found to be involved in the process of chronic liver disease through various pathways,and this review will provide a useful reference for the prevention and treatment of chronic liver disease.

Aim To investigate the effect of tetrameth-ylpyrazine(TMP)on neuroinflammation after cerebral ischemia and hypoxia via mannose-binding lectin(MBL).Methods Patients diagnosed with ischaemic stroke at Shanxi Provincial People's Hospital were in-cluded in the study,and their clinicopathological data,as well as blood and urine samples,were collected with the consent of the patients and their families.Using these biological samples,differential proteins and tar-gets were identified by proteomic analysis and subse-quently verified with animal experiments.The mice were divided into the sham,dMCAO,and TMP(10,20,40 mg·kg-1)treatment groups.After seven days of drug administration,the modified neurological sever-ity score(mNSS)was used to assess the neurological function.TTC staining was used to detect the volume of cerebral infarction.Motor function was evaluated be-haviourally,and ELISA was used to detect MASP1,sC5b-9,TNF-α,IL-6,and IL-1β.Western blot was used to determine the expression of relevant proteins,such as MBL2,MASP2,and C3.Results Compared with the sham group,the dMCAO group exhibited in-creased neurological impairment,which was signifi-cantly ameliorated by TMP treatment.The expression levels of MBL2,C3 and MASP2 were elevated in the dMCAO group and were reduced following TMP treat-ment.Additionally,the dMCAO group showed elevat-ed expression of inflammatory factors IL-1 β,IL-6 and TNF-α,which were then suppressed by TMP treat-ment.Conclusion TMP inhibits the inflammatory re-sponse after ischemia and hypoxia by regulating MBL,thus attenuating brain injury.