ObjectiveTo evaluate the antipyretic effect of the Qingwen Baiduling prescription in a dry yeast-induced rat fever model and to investigate its antipyretic mechanism， providing a theoretical basis for its clinical application. MethodsSPF-grade male SD rats were randomly assigned to six groups （n=6 per group）： control， model， aspirin （20 mg·kg^-1）， and high-， medium-， and low-dose Qingwen Baiduling prescription groups （14.40， 7.20， 3.60 g·kg^-1）. The fever model was established by subcutaneous injection of dry yeast suspension on the back. After model induction， body temperature was recorded every 1 hour. Drugs were administered at 6 hours after modeling， and body temperature was continuously recorded hourly for 12 hours. Record the body temperature of rats to observe the trend of changes in body temperature. Serum interleukin-6 （IL-6）， interleukin-1β （IL-1β）， and tumor necrosis factor-α （TNF-α） levels， as well as hypothalamic prostaglandin E₂ （PGE₂） and cyclic adenosine monophosphate （cAMP）， were measured using enzyme-linked immunosorbent assay （ELISA）. Hypothalamic tissue morphology was examined by hematoxylin and eosin （HE） staining. Western blot was used to detect hypothalamic expression of Toll-like receptor 4 （TLR4）， myeloid differentiation factor 88 （MyD88）， nuclear factor-κB p65 （NF-κB p65）， inhibitor κBα （IκBα）， phosphorylated IκBα （p-IκBα）， IκB kinase α （IKKα）， IKKβ， phosphorylated IKKα/β （p-IKKα/β）， and cyclooxygenase-2 （COX2）. ResultsCompared with the control group， the model group showed a significant increase in body temperature 6 hours after modeling （P0.01）， confirming successful fever induction. Serum IL-6， IL-1β， TNF-α， and hypothalamic cAMP and PGE₂ levels were significantly elevated （P0.01）. Hypothalamic neurons exhibited irregular morphology and disordered distribution， accompanied by inflammatory cell infiltration and microglial aggregation. Expression levels of TLR4/NF-κB pathway-related proteins and phosphorylated proteins were significantly increased （P0.05， P0.01）. Compared with the model group， 2-3 hours after administration， all Qingwen Baiduling prescription dose groups significantly reduced body temperature （P0.01）. All dose groups significantly decreased serum IL-6， IL-1β， TNF-α， and hypothalamic cAMP and PGE₂ levels （P0.05， P0.01）. Neuronal morphology was markedly improved in the high- and medium-dose groups， with narrowed intercellular spaces and reduced inflammatory infiltration. The prescription effectively inhibited hypothalamic expression of TLR4， MyD88， NF-κB p65， p-IκBα， p-IKKα/β， and COX2 proteins （P0.05， P0.01）. ConclusionQingwen Baiduling prescription effectively reduces body temperature in rats by mitigating the further effects of inflammatory cytokines on the hypothalamic thermoregulatory center through the blood-brain barrier. Its antipyretic mechanism may be related to inhibition of NF-κB pathway activation.

ObjectiveTo investigate the regulatory effect of Danggui Shaoyaosan on adenosine monophosphate-activated protein kinase （AMPK）/mammalian target of rapamycin （mTOR）/Unc-51-like kinase-1 （ULK1） signaling pathway in the rat model of metabolism-associated fatty liver disease （MAFLD）. MethodSixty SD rats were randomized into control， model， western medicine （polyene phosphatidylcholine capsules，0.144 g·kg^-1）， and low-， medium-， and high-dose （2.44， 4.88， 9.76 g·kg^-1， respectively） Danggui Shaoyaosan groups. After being fed with a high-fat diet for 8 weeks， the rats in each group were administrated with corresponding drugs for 4 weeks. At the end of drug treatment， serum and liver tissue were collected for subsequent determination of related indicators. ResultCompared with the control group， the model group showed increased contents of total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C） and activities of alanine aminotransferase （ALT） and aspartate aminotransferase （AST） in the serum， increased contents of TC， TG， and free fatty acids （FFAs） in the liver （P<0.01）， and decreased content of high-density lipoprotein cholesterol （HDL-C） in the serum （P<0.01）. Furthermore， the model group showed down-regulated protein levels of p-AMPK， microtubule-associated protein 1 light chain 3B （LC3B） Ⅱ， Beclin1， and ULK1 （P<0.01） and up-regulated protein levels of p-mTOR and ubiquitin-binding protein p62 in the liver （P<0.01）. The hepatic steatosis was obvious and the NAFLD activity score （NAS） and oil red O staining area increased in the model group， （P<0.05， P<0.01）. Compared with the model group， Danggui Shaoyaosan reduced the contents of TC and TG and the activities of ALT and AST in the serum， lowered the levels of TC， TG， and FFA in the liver， down-regulated the protein levels of p-mTOR and p62 （P<0.01）， elevated the serum HDL-C level， and up-regulated the protein levels of p-AMPK， LCBⅡ， Beclin1， and ULK1 in the liver （P<0.05， P<0.01）. Moreover， it alleviated hepatic steatosis and decreased the NAS and oil red O staining area （P<0.05， P<0.01）. ConclusionDanggui Shaoyaosan has therapeutic effect on MAFLD rats by regulating AMPK/mTOR/ULK1 signaling pathway to enhance autophagy.

Gallbladder carcinoma,a relatively rare malignancy within the biliary tract,presents a grave prognosis primarily due to asymptomatic early stages leading to advanced stage diagnosis and the absence of efficacious treatment options.Research has identified chronic inflammation,predom-inantly caused by gallstones,as a critical etiological factor.While surgical intervention offers potential curative outcomes in early stages,the majority of cases are identified too late for optimal surgical outcomes.Chemotherapy and targeted therapy,despite offering new therapeutic avenues,have not significantly improved overall survival rates.Thus,understanding the pathogenesis of gallbladder cancer,especially its association with key genetic and molecular pathways,is imperative for devising novel therapeutic strategies.This review delineates the epidemiology,pathogenesis,current treat-ment modalities,and research advancements in gallbladder cancer,aiming to provide innovative in-sights for clinical management and guide future research endeavors.

Objective:To identify a novel reassortant H3N2 avian influenza virus using nanopore sequencing technology and analyze its genetic characteristics.Methods:The positive samples of the H3N2 avian influenza virus, collected from the external environment in the farmers' market of Guangzhou, were cultured in chicken embryos. The whole genome was sequenced by targeted amplification and nanopore sequencing technology. The genetic characteristics were analyzed using bioinformatics software.Results:The phylogenetic trees showed that each gene fragment of the strain belonged to the Eurasian evolutionary branch, and the host source was of avian origin. The HA gene was closely related to the origin of the H3N6 virus. The NA gene was closely related to the H3N2 avian influenza virus from 2017 to 2020. The PB1 gene was closely related to the H5N6 avian influenza virus in Guangxi Zhuang Autonomous Region and Fujian Province from 2016 to 2022 and was not related to the PB1 gene of the H5N6 avian influenza epidemic strain in Guangzhou. The other internal gene fragments had complex sources with significant genetic diversity. Molecular characteristics indicated that the strain exhibited the molecular characteristics of a typical low pathogenic avian influenza virus and tended to bind to the receptors of avian origin. On important protein sites related to biological characteristics, this strain had mutations of PB2-L89V, PB1-L473V, NP-A184K, M1-N30D/T215A, and NS1-P42S/N205S.Conclusions:This study identified a novel reassortant H3N2 avian influenza virus by nanopore sequencing, with the PB1 gene derived from the H5N6 avian influenza virus. The virus had a low ability to spread across species, but further exploration was needed to determine whether its pathogenicity to the host was affected.

To monitor and analyze the molecular variation of the H3N2 influenza virus in Guangzhou during the COVID-19 pandemic, respiratory samples of influenza-like cases from influenza monitoring sentinel hospitals were collected from influenza monitoring sentinel hospitals for virus isolation and whole genome sequencing. The results showed that during COVID-19, there was only one peak of H3N2 influenza in the second quarter of 2022 in Guangzhou (the positive rate was 52.23%), and the epidemic intensity and duration were both higher than those in 2019. The HA gene and NA gene of the epidemic strain in Guangzhou in 2022 belonged to the 3C.2a1b. 2a. 1a. 1 branch, which had a good antigenic site matching with the vaccine strain (A/Cambodia/e0826360/2020) from 2021 to 2022 and had no antigen drift. In 2022 strains, the variation of antigen determinant mainly occurred in the I48T of C region, while no variation occurred in the A, B, D, and E regions. The binding site of the HA protein receptor was consistent with the vaccine strain (A/Cambodia/e0826360/2020). Most of the strains in 2022 carried 13 glycosylation sites on the HA protein, but an outbreak of strains caused a loss of glycosylation sites at 24-NST. In conclusion, the strains that caused the epidemic of H3N2 influenza in Guangzhou in 2022 were not evolved or transmitted from the local strains in 2019 during the COVID-19 pandemic.

To monitor and analyze the molecular variation of the H3N2 influenza virus in Guangzhou during the COVID-19 pandemic, respiratory samples of influenza-like cases from influenza monitoring sentinel hospitals were collected from influenza monitoring sentinel hospitals for virus isolation and whole genome sequencing. The results showed that during COVID-19, there was only one peak of H3N2 influenza in the second quarter of 2022 in Guangzhou (the positive rate was 52.23%), and the epidemic intensity and duration were both higher than those in 2019. The HA gene and NA gene of the epidemic strain in Guangzhou in 2022 belonged to the 3C.2a1b. 2a. 1a. 1 branch, which had a good antigenic site matching with the vaccine strain (A/Cambodia/e0826360/2020) from 2021 to 2022 and had no antigen drift. In 2022 strains, the variation of antigen determinant mainly occurred in the I48T of C region, while no variation occurred in the A, B, D, and E regions. The binding site of the HA protein receptor was consistent with the vaccine strain (A/Cambodia/e0826360/2020). Most of the strains in 2022 carried 13 glycosylation sites on the HA protein, but an outbreak of strains caused a loss of glycosylation sites at 24-NST. In conclusion, the strains that caused the epidemic of H3N2 influenza in Guangzhou in 2022 were not evolved or transmitted from the local strains in 2019 during the COVID-19 pandemic.

This paper investigates the tangible and effective coverage of grass-roots Party organizations in tertiary public hospitals in Shanghai,sorts out the coverage and coverage methods,explores the problems encountered and puts forward counter-measures,so as to give full play to the role of grass-roots Party organizations as the battle fortress,strengthen the Party building in public hospitals,and further promote the reform of the medical and health system and the construction of healthy China.

Chronic refractory wound (CRW) is one of the most challengeable issues in clinic due to complex pathogenesis, long course of disease and poor prognosis. Experts need to conduct systematic summary for the diagnosis and treatment of CRW due to complex pathogenesis and poor prognosis, and standard guidelines for the diagnosis and treatment of CRW should be created. The Guideline forthe diagnosis and treatment of chronic refractory wounds in orthopedic trauma patients ( version 2023) was created by the expert group organized by the Chinese Association of Orthopedic Surgeons, Chinese Orthopedic Association, Chinese Society of Traumatology, and Trauma Orthopedics and Multiple Traumatology Group of Emergency Resuscitation Committee of Chinese Medical Doctor Association after the clinical problems were chosen based on demand-driven principles and principles of evidence-based medicine. The guideline systematically elaborated CRW from aspects of the epidemiology, diagnosis, treatment, postoperative management, complication prevention and comorbidity management, and rehabilitation and health education, and 9 recommendations were finally proposed to provide a reliable clinical reference for the diagnosis and treatment of CRW.

Objective:To analyze the risk factors of carbapenem-resistant Klebsiella pneumoniae (CRKP) infection in intensive care unit (ICU) patients and to construct a prediction model for infection. Methods:The clinical data of 204 patients with Klebsiella pneumoniae infection admitted in ICU of Jining First Hospital during January 2020 to December 2022 were retrospectively analyzed. Patients admitted during January 2020 to December 2021 were selected as model set ( n=150), and patients admitted during January to December 2022 were selected as validation set ( n=54). In model set, there were 59 cases infected with CRKP (CRKP group) and 91 cases infected with carbapenem-sensitive Klebsiella pneumonia (CSKP group). The risk factor of CRKP infection in ICU patients were analyzed with multivariate Logistic regression, based on which an infection prediction model was constructed. The predictive value of the model was evaluated by ROC, and verified in the validation group. Results:Multivariate Logistic regression analysis showed that empirical use of beta-lactam antibiotics( OR=6.985, 95 % CI 1.658-29.423, P=0.008), central vein catheterization( OR=7.486, 95 % CI 2.776-20.186, P<0.001)and tracheal intubation/incision( OR=10.695, 95 % CI 2.701-42.351, P=0.001)were risk factors for CRKP infection in ICU patients. The regression equation for predicting the risk of infection was -4.851+ empirical use of beta-lactam antibiotics×1.944+ central vein catheterization×2.013+ tracheal intubation/incision×2.370. The area under the ROC curve (AUC) of the model for predicting infection in the model group was 0.905, with sensitivity and specificity of 79.7% and 90.1%, respectively. The AUC of the model for predicting infection in validation group was 0.881, with sensitivity and specificity of 84.2% and 85.7%, respectively. Conclusion:The constructed infection prediction model in the study can effectively predict CRKP infection in ICU patients.