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 possible mechanism of Shufeng Jiedu capsules （SFJD） in alleviating influenza A （H1N1） virus pneumonia and focus on its effect on Toll-like receptor （TLR） signaling pathway in respiratory epithelial cells. MethodsA mouse model of viral pneumonia was established via the A/PR/8/34 （PR8） strain of influenza A virus. Mice were randomly divided into a normal group， a PR8 infection （PR8） group， and an SFJD group （8.4 g·kg^-1）， with 10 mice in each group. The day of infection was designated as day 1. The SFJD group was administered intragastrically at a volume of 20 mL·kg^-1 daily， while the normal and PR8 groups were given an equal volume of deionized water. Micro-computed tomography （Micro-CT） was performed on day 5， and the mice were dissected to collect their lungs， after which the lung index was calculated to verify the therapeutic effect of SFJD. Single-cell sequencing was used to analyze the differentially expressed genes in respiratory epithelial cells. Multiplex fluorescence immunohistochemistry was employed to detect the expression of TLR， tumor necrosis factor receptor-associated factor 6 （TRAF6）， and myeloid differentiation factor 88 （MyD88） proteins in epithelial cell adhesion molecule （EpCAM）-positive cells， and the proportion of respiratory epithelial cells expressing TLR pathway proteins was calculated. Respiratory epithelial cells were then sorted by flow cytometry， and Western blot was used to detect the expression of TLR， MyD88， TRAF6， Toll-interleukin receptor domain-containing adaptor inducing interferon-β （TRIF）， inhibitor of κB kinase α （IKKα）， and nuclear factor-κB （NF-κB） in the sorted epithelial cells. Enzyme-linked immunosorbent assay （ELISA） was used to measure the levels of interleukin-1β （IL-1β） and tumor necrosis factor-α （TNF-α） in lung tissue. ResultsAt the transcriptional level， SFJD reversed the expression of TLR signaling pathway genes in respiratory epithelial cells， downregulating multiple TLR signaling pathway-related genes （P<0.01）. At the protein level， SFJD significantly reduced the proportion of respiratory epithelial cells expressing TLR3 （P<0.05）， the expression levels of TLR2， TLR3， TLR4， TRIF， TRAF6， IKKα， and NF-κB in epithelial cells（P<0.05， P<0.01）， as well as the levels of pro-inflammatory cytokines IL-1β and TNF-α in lung tissue （P<0.01）. ConclusionSFJD may alleviate viral pneumonia by suppressing the expression of TLR in respiratory epithelial cells and their subsequent signaling cascades.

Major depressive disorder(MDD)is a prevalent con-dition associated with substantial impairment and low remission rates.Traditional antidepressants demonstrate delayed effects,low cure rate,and inadequate therapeutic effectiveness for man-aging treatment-resistant depression(TRD).Several studies have shown that ketamine,a non-selective N-methyl-D-aspartate receptor(NMDAR)antagonist,can produce rapid and sustained antidepressant effects.Ketamine has demonstrated efficacy for reducing suicidality in TRD patients.However,the pharmaco-logical mechanism for ketamine's antidepressant effects remains incompletely understood.Previous research suggests that the an-tidepressant effects of ketamine may involve the monoaminergic,glutamatergic and dopaminergic systems.This paper provides an overview of the pharmacological mechanism for ketamine's anti-depressant effects and discuss the potential directions for future research.

Objective To analyze the level of 25-hydroxyvitamin D[25(OH)D]in patients with type 2 diabetes mellitus,and preliminarily investigate the correlation between serum 25(OH)D level and metabolic indicators such as glycosylated hemoglobin(HbA1c)and pancreatic islet function in patients with type 2 diabetes mellitus.Methods A total of 459 patients with type 2 diabetes mellitus who were hospitalized in the Department of Endocrinology,Xinxiang First People's Hospital from January 2020 to December 2020 were selected as the research subjects.Clinical data of the patients were collected,including gender,age,serum 25(OH)D,fasting insulin,C-peptide,HbA1c,fasting blood glucose,postprandial blood glucose,urinary microalbumin,urinary albumin-to-creatinine ratio,blood calcium,blood uric acid(UA),triglyceride(TG),total cholesterol(TCH),low-density lipoprotein(LDL),and high-density lipoprotein(HDL).According to the serum 25(OH)D level,the patients were divided into sufficient group[n=20,25(OH)D≥30 μg·L-1],insufficient group[n=95,20 μg·L-125(OH)D＜30 μg·L-1],deficient group[n=231,10 μg·L-1 ≤25(OH)D＜20 μg·L-1],and severely deficient group[n=113,25(OH)D＜10 μg·L-1].Differences in metabolic indicators of patients in the four groups were compared,and the correlation between 25(OH)D level and metabolic indicators was analyzed by using the Pearson correlation.Results The serum 25(OH)D level of patients with type 2 diabetes mellitus was 3.00-46.59(15.75±0.35)μg·L-1;the serum 25(OH)D level of male patients was significantly higher than that of female patients(P＜0.05).The prevalence of 25(OH)D deficiency in patients with type 2 diabetes mellitus was 74.9％(344/459).The 25(OH)D deficiency mainly occurred in January,February,March,April,November,and December.Patients in the insufficient,deficient,and severely deficient groups had significantly higher HbA1c levels than those in the sufficient group(P＜0.05),and the HbA1c levels of patients in the deficient and severely deficient groups were significantly higher than those in the insufficient group(P＜0.05);there was no statistically significant difference in the HbA1c level between the deficient group and the severely deficient group(P＞0.05).There was no statistically significant difference in fasting blood glucose between the sufficient group and insufficient group,and between the deficient group and severely deficient group(P＞0.05);fasting blood glucose of patients in the deficient and severely deficient groups was significantly higher than that in the sufficient and insufficient groups(P＜0.05).There was no statistically significant difference in fasting insulin,urinary microalbumin,daily total urinary albumin,and urinary albumin-to-creatinine ratio of patients among the sufficient,insufficient,and deficient groups(P＞0.05);the fasting insulin of patients in the severely deficient group was significantly lower than that in the sufficient,insufficient,and deficient groups(P＜0.05);the urinary microalbumin,daily total urinary albumin,and urinary albumin-to-creatinine ratio of patients in the severely deficient group were significantly higher than those in the sufficient,insufficient,and deficient groups(P＜0.05).There was no statistically significant difference in the homeostasis model assessment for insulin resistance(HOMA-IR),serum albumin,blood creatinine,1-hour postprandial blood glucose,2-hour postprandial blood glucose,3-hour postprandial blood glucose,fasting C-peptide,1-hour postprandial C-peptide,2-hour postprandial C-peptide,3-hour postprandial C-peptide,TG,TCH,LDL,HDL,blood UA,and blood calcium of patients among the four groups(P＞0.05).Pearson correlation analysis showed that serum 25(OH)D levels in patients with type 2 diabetes mellitus were negatively correlated with HbA1c,urinary microalbumin,and urinary albumin-to-creatinine ratio(r=-0.093,-0.166,-0.157;P＜0.05),and positively correlated with fasting insulin(r=0.089,P＜0.05).Serum 25(OH)D levels in patients with type 2 diabetes mellitus had no correlation with fasting blood glucose,HOMA-IR,serum albumin,blood creatinine,1-hour postprandial blood glucose,2-hour postprandial blood glucose,3-hour postprandial blood glucose,fasting C-peptide,1-hour postprandial C-peptide,2-hour postprandial C-peptide,3-hour postprandial C-peptide,TG,TCH,LDL,HDL,blood UA,and blood calcium(P＞0.05).Conclusion 25(OH)D deficiency and insufficiency are common in patients with type 2 diabetes mellitus,especially in female patients.In patients with type 2 diabetes mellitus,25(OH)D level is positively correlated with fasting insulin and negatively correlated with HbAlc,urinary microalbumin,and urinary albumin-to-creatinine ratio.25(OH)D deficiency in patients with type 2 diabetes mellitus is mainly distributed in January,February,March,April,November,and December.

Objective To analyze the feasibility and efficacy of a deep convolutional neural network(DCNN)model based on chest CT images to evaluate bone mineral density(BMD).Methods A total of 1 048 health check subjects'2 096 central level images of lumbar 1 and 2 vertebral bodies were used for experiments and analysis in this retrospective study.According to the results of quanti-tative computed tomography(QCT)BMD measurement,the subjects were divided into three categories:normal,osteopenia,osteopo-rosis(OP).Herein,a DCNN segmentation model was constructed based on chest CT images[training set(n=1 096),tuning set(n=200),and test set(n=800)],the segmentation performance was evaluated using the Dice similarity coefficient(DSC)to com-pare the consistency with the manually sketched region of vertebral body.Then,the DCNN classification models 1(fusion feature construction of lumbar 1 and 2 vertebral bodies)and model 2(image feature construction of lumbar 1 alone)was developed based on the training set(n=530).Model performance was compared in a test set(n=418)by the receiver operating characteristic(ROC)curve analysis.Results When the number of images in the training set(n=300)was adopted,the DSC value was 0.950 in the test set.The results showed that the sensitivity,specificity and area under the curve(AUC)of model 1 and model 2 in diagno-sing osteopenia and OP were 0.716,0.960,0.952;0.941,0.948,0.980;0.638,0.954,0.940;0.843,0.959,0.978,respectively.The AUC value of normal model 1 was higher than that of model 2(0.990 vs 0.983,P=0.033),while there was no significant difference in AUC values between osteopenia and OP(P=0.210,0.546).Conclusion A DCNN may have the potential to evaluate bone mass based on chest CT images,which is expected to become an effective tool for OP screening.

Objective:To assess the impact of exposure to particulate matter with aerodynamic diameter ≤2.5 μm(PM2.5)on non-accidental mortality under different apparent temperature levels and to further explore the modification effect of apparent temperature.Methods:This study used time-series design.Tianjin and Ningbo from China,Bangkok and Chiang Mai from Thailand were selected as the re-search sites,and the apparent temperature was applied as the exposure index.Through the quantitative estimation of the threshold temperature,the corresponding pollutant concentration was divided into high and low levels,and the generalized Poisson additive model was used to evaluate the association between PM2.5 exposure and non-accidental death of residents at different temperature levels.Results:The ave-rage concentrations of PM2.5 in Tianjin,Ningbo,Bangkok,and Chiang Mai during the study period were(73.6±35.6),(48.0±32.1),(33.5±28.4)and(32.6±28.6)μg/m3,respectively;the average daily non-accidental death counts were 148,57,28,and 8.The analysis of the generalized Poisson addi-tive model showed that the daily non-accidental death counts increased by 0.43％(95％CI:0.33％-0.54％)per 10 μg/m3 increase of PM2.5 in lag 0 day in Tianjin of China;0.27％(95％CI:0.08％-0.46％)per 10 μg/m3 increase of PM2.5 in lag 2 days in Ningbo of China.The effect was magnified in high temperature levels in Tianjin and in low temperatures in Ningbo and Bangkok.The mortality effect of PM2 5 in various temperature levels stayed still in co-pollutant regression models.Conclusion:Exposure to fine particulate matter had an adverse effect on non-accidental mortality,which reminded us to give further attention to the pollution control.The findings also indicated that apparent temperature might modify mortality effects of PM2 .5 and the modification effect varied in different regions.Protective policies due to regional differences should be made and more scientific and social attention on mutual effect of air pollution and climate change needs to be appealed.

Background Epidemiological evidence indicates an association of particulate matter with depression and cognitive performance. From 2013 to 2017, China implemented the Air Pollution Prevention and Control Action Plan to reduce particulate matter concentration. There are few studies on the relationship between the decrease of particulate matter concentration and the improvement of mental health in middle-aged and elderly people. Objective To analyze the relationship between the decrease of city-level particulate matter concentration and the improvement of depression and cognitive function in the middle-aged and elderly population after the implementation of the Air Pollution Prevention and Control Action Plan. Methods Using the China Health and Retirement Longitudinal Study (CHARLS) data in 2011 and 2018, this study applied longitudinal data clustering technology to group cities based on the actual response of each city to the policy (the dynamic change trajectory of PM_2.5 in each city during the study period); the higher the degree of response, the greater the reduction of PM_2.5 concentration in the city. We assigned participants to three groups with different degrees of response to the policy, including low-response group A as the control group, medium-response intervention group B, and high-response intervention group C. A difference-in-differences (DID) model was used to estimate the influence of PM_2.5 decline on the depression and cognitive function among middle-aged and elderly people in China by considering potential individual and city-level time-varying confounders. Depression was measured using the 10-item Center for the Epidemiological Studies of Depression Scale (CES-D10) (10 questions, total score range 0-30) with higher score representing higher severity of depression. Cognitive function was evaluated with reference to the international cognitive function test questionnaire for the middle-aged and the elderly which was further categorized into two dimensions of memory and cognitive status and included 31 questions with a score range of 0-31; the higher the score, the better the cognitive function. Samples with relatively complete outcomes were selected for analysis, including 10729 people in depression analysis and 4510 people in cognitive analysis. Results The longitudinal clustering results indicated that the urban groups with the highest decline of PM_2.5 concentrations (high-response group C) had the highest baseline PM_2.5 concentrations, mainly in Beijing-Tianjin-Hebei region, Chengdu-Chongqing metropolitan area, and Wuhan metropolitan area. In 2011, no significant differences were observed in depression and cognitive function among the three groups of middle-aged and elderly populations (Kruskal Wallis test: P_depression=0.864, P_cognition=0.239). Significant differences were found in depression and cognitive function in both low-response group A and medium-response group B in 2018 compared to 2011 (paired Wilcox test, all P<0.001). However, in the high-response group C, there was no significant difference in depression in 2018 compared to 2011 (P=0.195), while a significant difference was detected in cognitive function (P=0.006). As PM_2.5 concentrations decreased, the DID model showed that the depression of the middle-aged and elderly people in the high-response group C decreased by 7.55% (95%CI: 2.83%-12.03%), and the cognitive function improved by 2.70% (95%CI: 0.25%-5.22%) compared with the low-response group A. However, no intervention effect was observed in group B with moderate response level compared with group A with low response level. Conclusion After the implementation of the Air Pollution Prevention and Control Action Plan policy, the decrease of PM_2.5 concentration has an ameliorative effect on the depression and cognitive function of middle-aged and elderly people in China. Given the aging population and the increasing burden of mental-related diseases in China, the promotion of environmental air pollution control has important public health implications.

Objective: To analyze the prevalence and the risk factors of fungal sepsis in 25 neonatal intensive care units (NICU) among preterm infants in China, and to provide a basis for preventive strategies of fungal sepsis. Methods: This was a second-analysis of the data from the "reduction of infection in neonatal intensive care units using the evidence-based practice for improving quality" study. The current status of fungal sepsis of the 24 731 preterm infants with the gestational age of <34⁺⁰ weeks, who were admitted to 25 participating NICU within 7 days of birth between May 2015 and April 2018 were retrospectively analyzed. These preterm infants were divided into the fungal sepsis group and the without fungal sepsis group according to whether they developed fungal sepsis to analyze the incidences and the microbiology of fungal sepsis. Chi-square test was used to compare the incidences of fungal sepsis in preterm infants with different gestational ages and birth weights and in different NICU. Multivariate Logistic regression analysis was used to study the outcomes of preterm infants with fungal sepsis, which were further compared with those of preterm infants without fungal sepsis. The 144 preterm infants in the fungal sepsis group were matched with 288 preterm infants in the non-fungal sepsis group by propensity score-matched method. Univariate and multivariate Logistic regression analysis were used to analyze the risk factors of fungal sepsis. Results: In all, 166 (0.7%) of the 24 731 preterm infants developed fungal sepsis, with the gestational age of (29.7±2.0) weeks and the birth weight of (1 300±293) g. The incidence of fungal sepsis increased with decreasing gestational age and birth weight (both P<0.001). The preterm infants with gestational age of <32 weeks accounted for 87.3% (145/166). The incidence of fungal sepsis was 1.0% (117/11 438) in very preterm infants and 2.0% (28/1 401) in extremely preterm infants, and was 1.3% (103/8 060) in very low birth weight infants and 1.7% (21/1 211) in extremely low birth weight infants, respectively. There was no fungal sepsis in 3 NICU, and the incidences in the other 22 NICU ranged from 0.7% (10/1 397) to 2.9% (21/724), with significant statistical difference (P<0.001). The pathogens were mainly Candida (150/166, 90.4%), including 59 cases of Candida albicans and 91 cases of non-Candida albicans, of which Candida parapsilosis was the most common (41 cases). Fungal sepsis was independently associated with increased risk of moderate to severe bronchopulmonary dysplasia (BPD) (adjusted OR 1.52, 95%CI 1.04-2.22, P=0.030) and severe retinopathy of prematurity (ROP) (adjusted OR 2.55, 95%CI 1.12-5.80, P=0.025). Previous broad spectrum antibiotics exposure (adjusted OR=2.50, 95%CI 1.50-4.17, P<0.001), prolonged use of central line (adjusted OR=1.05, 95%CI 1.03-1.08, P<0.001) and previous total parenteral nutrition (TPN) duration (adjusted OR=1.04, 95%CI 1.02-1.06, P<0.001) were all independently associated with increasing risk of fungal sepsis. Conclusions: Candida albicans and Candida parapsilosis are the main pathogens of fungal sepsis among preterm infants in Chinese NICU. Preterm infants with fungal sepsis are at increased risk of moderate to severe BPD and severe ROP. Previous broad spectrum antibiotics exposure, prolonged use of central line and prolonged duration of TPN will increase the risk of fungal sepsis. Ongoing initiatives are needed to reduce fungal sepsis based on these risk factors.
Infant ; Infant, Newborn ; Humans ; Birth Weight ; Intensive Care Units, Neonatal ; Retrospective Studies ; Tertiary Care Centers ; Infant, Extremely Low Birth Weight ; Gestational Age ; Infant, Extremely Premature ; Sepsis/epidemiology* ; Retinopathy of Prematurity/epidemiology* ; Bronchopulmonary Dysplasia/epidemiology*

COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.

Objective: To analyze the drug resistance and genomic characteristics of Salmonella enterica serovar London isolated from clinical and food sources in Hangzhou City from 2017 to 2021. Methods: A total of 91 Salmonella enterica serovar London strains isolated from Hangzhou City from 2017 to 2021 were analyzed for drug susceptibility, pulsed field gel electrophoresis (PFGE) typing and whole genome sequencing. Multilocus sequence typing (MLST), core genome multilocus sequence typing (cgMLST) and detection of drug resistance genes were performed by using the sequencing data. Phylogenetic analysis was conducted to compare the 91 genomes from Hangzhou City with 347 genomes from public databases. Results: No significant difference in the drug resistance rate was observed between clinical strains and food strains to 18 drugs in Hangzhou City(all P>0.05), and the multidrug resistance (MDR) rate was 75.8% (69/91). Most strains were resistant to 7 drug classes simultaneously. One strain was resistant to Polymyxin E as well as positive for mcr-1.1, and 50.5% (46/91) of the strains were resistant to Azithromycin and were positive for mph(A). All 91 Salmonella enterica serovar London strains were ST155, which were subdivided into 44 molecular types by PFGE and 82 types by cgMLST. Phylogenetic analysis showed that most strains from Hangzhou City (83/91) were clustered together, and a small number of human isolates from Europe, North America and pork isolates from Hubei and Shenzhen were mixed in the cluster. Other strains from Hangzhou City (8/91) were closely related to strains from Europe, America and Southeast Asia. Strains isolated from pork were the most closely related to clinical strains. Conclusion: The epidemic of Salmonella enterica serovar London in Hangzhou City is mainly caused by the spread of ST155 strains, which is mainly transmitted locally. At the same time, cross-region transmission to Europe, North America, Southeast Asia, and other provinces and cities in China may also occur. There is no significant difference in the drug resistance rate between clinical strains and food strains, and a high level of MDR is found in the strains. Clinical infection of Salmonella enterica serovar London may be closely related to pork consumption in Hangzhou City.
Humans ; Salmonella enterica/genetics* ; Serogroup ; Anti-Bacterial Agents/pharmacology* ; Multilocus Sequence Typing ; Cities ; London ; Clonidine ; Phylogeny ; Genomics ; Drug Resistance ; Electrophoresis, Gel, Pulsed-Field ; Microbial Sensitivity Tests