Thyroid diseases are common clinical endocrine disorders， and their pathogenesis is generally considered to be closely related to genetic predisposition factors， immune system disorders， hormone levels， etc. Xiaoyaosan is widely used in the treatment of various thyroid diseases with excellent effects. This study summarized the relevant literature on the treatment of thyroid diseases with modified Xiaoyaosan prescriptions and their active ingredients from aspects such as theoretical analysis， clinical research， and mechanism research. Theoretical analysis revealed that Xiaoyaosan could not only disperse stagnated liver qi but also replenish deficient spleen Qi， which was consistent with the etiology and pathogenesis of thyroid diseases. Clinical studies found that Xiaoyaosan and its modified prescriptions could be widely used in the treatment of multiple thyroid diseases， such as hyperthyroidism， Hashimoto's thyroiditis， and thyroid nodules. Both the use of modified Xiaoyaosan alone and in combination with medications such as methimazole， propylthiouracil， and euthyrox could effectively improve patients' clinical symptoms. In the mechanism research， this study discovered that the whole formula of Xiaoyaosan and its modified prescriptions could inhibit inflammatory reactions， regulate immune balance， and delay liver damage during the treatment of thyroid diseases. The research on Xiaoyaosan for treating thyroid diseases mainly focused on thyroid cancer， autoimmune thyroiditis， hyperthyroidism， and hypothyroidism. The mechanisms of action mainly involved promoting cell apoptosis， inhibiting cell proliferation and migration， arresting the cell cycle， and regulating thyroid hormone levels. In conclusion， this study systematically combs and summarizes the research status of Xiaoyaosan in treating thyroid diseases through literature retrieval， aiming to provide new perspectives and new ideas for the prevention and treatment of thyroid diseases with traditional Chinese medicine.

ObjectiveBased on the theory of "gut-prostate" axis， this study explored the effects and mechanisms of Zishen Tongguan formula and Cinnamomi Cortex in the formula in treating rats with chronic non-bacterial prostatitis（CNP） by detecting the levels of inflammatory factors， and the composition and structure of intestinal flora in CNP rats. MethodsEight out of 42 SD rats were randomly selected as the normal group， and the remaining rats were injected with carrageenan to prepare the CNP model. After successful modeling， 32 rats were randomly divided into the model group， Ningmitai capsule group（0.50 g·kg^-1）， Zishen Tongguan formula group（2.00 g·kg^-1）， and the Phellodendri Chinensis Cortex-Anemarrhenae Rhizoma pair group（PCC-AR group， 2.00 g·kg^-1）， with 8 rats in each group. The administered groups were given the corresponding medicinal solution by gavage， and the normal and model groups were intragastrically administered with an equal volume of normal saline， once a day for 14 consecutive days. The prostate tissues of rats were collected and subjected to hematoxylin-eosin（HE） staining and Masson staining to observe the pathological changes of the tissues in each group. Enzyme-linked immunosorbent assay（ELISA） was used to detect the levels of related inflammatory factors in rat serum， and 16S rDNA sequencing was used to analyze the abundance and diversity changes of gut microbiota before and after administration， and species difference analysis was performed. ResultsAll the administered groups could alleviate the inflammatory symptoms of CNP rats， increase the expression levels of anti-inflammatory factors and decrease the expression levels of pro-inflammatory factors， with the most sIgnificant effect observed in the Zishen Tongguan formula group. Compared with the normal group， the expression levels of interleukin（IL）-8， hypersensitive C-reactive protein（hs-CRP）， immunoglobulin（Ig）M， secretory IgA （sIgA）， and inducible nitric oxide synthase（iNOS） were sIgnificantly increased in the model group（P<0.01）. Compared with the model group， the expression levels of the above inflammatory factors in all administered groups were significantly reduced（P<0.01）. When compared with the PCC-AR group， the Zishen Tongguan formula group showed a significant decrease in transforming growth factor（TGF）-β₁ expression level（P<0.05） and a significant increase in IgM expression level（P<0.01）. The results of gut microbiota analysis showed that， compared with the PCC-AR group， at the order level， the Zishen Tongguan formula group significantly reduced the relative abundance of conditional pathogens such as Bacteroidales， Acidaminococcales， Rhodospirillales， Clostridiales， and Elusimicrobiales（P<0.01）. And at the genus level， the Zishen Tongguan formula group significantly decreased the relative abundance of pathogenic microbiota such as Lachnospira and Bacteroides（P<0.01） and significantly increased the relative abundances of beneficial microbiota such as Ruminococcus and Lactobacillus（P<0.01）. ConclusionZishen Tongguan formula can reduce the level of harmful intestinal bacteria， increase the level of beneficial intestinal bacteria， down-regulate the expression of serum inflammatory factors， and the small amount of Cinnamomi Cortex in the formula may play a key role in the treatment of CNP with this formula.

ObjectiveBased on the theory of "gut-prostate" axis， this study explored the effects and mechanisms of Zishen Tongguan formula and Cinnamomi Cortex in the formula in treating rats with chronic non-bacterial prostatitis（CNP） by detecting the levels of inflammatory factors， and the composition and structure of intestinal flora in CNP rats. MethodsEight out of 42 SD rats were randomly selected as the normal group， and the remaining rats were injected with carrageenan to prepare the CNP model. After successful modeling， 32 rats were randomly divided into the model group， Ningmitai capsule group（0.50 g·kg^-1）， Zishen Tongguan formula group（2.00 g·kg^-1）， and the Phellodendri Chinensis Cortex-Anemarrhenae Rhizoma pair group（PCC-AR group， 2.00 g·kg^-1）， with 8 rats in each group. The administered groups were given the corresponding medicinal solution by gavage， and the normal and model groups were intragastrically administered with an equal volume of normal saline， once a day for 14 consecutive days. The prostate tissues of rats were collected and subjected to hematoxylin-eosin（HE） staining and Masson staining to observe the pathological changes of the tissues in each group. Enzyme-linked immunosorbent assay（ELISA） was used to detect the levels of related inflammatory factors in rat serum， and 16S rDNA sequencing was used to analyze the abundance and diversity changes of gut microbiota before and after administration， and species difference analysis was performed. ResultsAll the administered groups could alleviate the inflammatory symptoms of CNP rats， increase the expression levels of anti-inflammatory factors and decrease the expression levels of pro-inflammatory factors， with the most sIgnificant effect observed in the Zishen Tongguan formula group. Compared with the normal group， the expression levels of interleukin（IL）-8， hypersensitive C-reactive protein（hs-CRP）， immunoglobulin（Ig）M， secretory IgA （sIgA）， and inducible nitric oxide synthase（iNOS） were sIgnificantly increased in the model group（P<0.01）. Compared with the model group， the expression levels of the above inflammatory factors in all administered groups were significantly reduced（P<0.01）. When compared with the PCC-AR group， the Zishen Tongguan formula group showed a significant decrease in transforming growth factor（TGF）-β₁ expression level（P<0.05） and a significant increase in IgM expression level（P<0.01）. The results of gut microbiota analysis showed that， compared with the PCC-AR group， at the order level， the Zishen Tongguan formula group significantly reduced the relative abundance of conditional pathogens such as Bacteroidales， Acidaminococcales， Rhodospirillales， Clostridiales， and Elusimicrobiales（P<0.01）. And at the genus level， the Zishen Tongguan formula group significantly decreased the relative abundance of pathogenic microbiota such as Lachnospira and Bacteroides（P<0.01） and significantly increased the relative abundances of beneficial microbiota such as Ruminococcus and Lactobacillus（P<0.01）. ConclusionZishen Tongguan formula can reduce the level of harmful intestinal bacteria， increase the level of beneficial intestinal bacteria， down-regulate the expression of serum inflammatory factors， and the small amount of Cinnamomi Cortex in the formula may play a key role in the treatment of CNP with this formula.

ObjectiveTo investigate the risk factors for pyogenic liver abscess （PLA） comorbid with sepsis by analyzing clinical features， and to construct a predictive model. MethodsA retrospective analysis was performed for 489 patients who were hospitalized and diagnosed with PLA in The Affiliated Hospital of Xuzhou Medical University from January 2019 to December 2023， and according to the presence or absence of sepsis， they were divided into sepsis group with 306 patients and non-sepsis group with 183 patients. Related data were collected， including general information， laboratory markers， and outcome measures. The patients were further divided into a training set of 342 patients and a validation set of 147 patients at a ratio of 7∶3， and the training set was used for screening of variables and construction of a predictive model， while the validation set was used to test the performance of the model. An LASSO regression analysis was used for the screening of variables， and a multivariate Logistic regression analysis was used to construct the predictive model and plot a nomogram. The calibration curve， the receiver operating characteristic （ROC） curve， and the decision curve analysis were used for the validation of the model， and internal validation was performed for assessment. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical variables between groups. ResultsThere were significant differences between the sepsis group and the non-sepsis group in pulse rate， mean arterial pressure， duration pf symptoms， comorbidity of liver cirrhosis or malignant tumor， leukocyte count， neutrophil count， lymphocyte count， platelet count （PLT）， activated partial thromboplastin time， fibrinogen， C-reactive protein， aspartate aminotransferase， alanine aminotransferase， albumin， total bilirubin （TBil）， creatinine， potassium， and prognostic nutritional index （PNI） （all P<0.05）. In the training set， the LASSO regression analysis identified four predictive factors of pulse rate， PLT， TBil and PNI， and the multivariate Logistic regression analysis showed that pulse rate （odds ratio ［OR］=1.033， 95% confidence interval ［CI］： 1.006‍ ‍—‍ ‍1.061， P=0.018）， PLT （OR=0.981， 95%CI： 0.975‍ ‍—‍ ‍0.987， P<0.001）， TBil （OR=1.086， 95%CI： 1.053‍ ‍—‍ ‍1.125， P<0.001）， and PNI （OR=0.935， 95%CI： 0.882‍ ‍—‍ ‍0.988， P=0.019） were independent influencing factors for the risk of sepsis in patients with PLA. The model constructed based on these factors showed a good predictive ability， with an area under the ROC curve of 0.948 （95%CI： 0.923‍ ‍—‍ ‍0.973） in the training set and 0.912 （95%CI： 0.848‍ ‍—‍ ‍0.976） in the validation set. The decision curve analysis showed that the model has a good net benefit within the range of 0.3‍ ‍—‍ ‍0.9 for threshold probability. ConclusionThe nomogram prediction model constructed based on pulse rate， PLT， TBil， and PNI has a certain clinical value and can well predict the risk of sepsis in patients with PLA.

Objective:To validate and compare the value of the Status Epilepticus in Pediatric Severity Score (STEPSS) versus PEDSS in assessing the short-term prognosis of children with status epilepticus (SE).Methods:Clinical data of 152 children with SE hospitalized at the First Affiliated Hospital of Zhengzhou University from January 2020 to December 2022 were retrospectively analyzed.According to the STEPSS and PEDSS scores, children with SE were scored and their prognosis was predicted.Receiver operating characteristic (ROC) curves of the 2 scales in assessing the short-term prognosis of SE in children were plotted, and the area under the curve (AUC), optimal cut-off, sensitivity and specificity were calculated, thus validating and comparing the value of the STEPSS versus PEDSS in assessing the short-term prognosis of children with SE.Results:Of the 152 children with SE, 90 were male and 62 were female, with the age of (5.8±3.9) years (1 month to 15 years). There were 112 cases with good prognosis and 40 cases with poor prognosis, involving 13 deaths.The AUC of STEPSS and PEDSS scores in predicting the death in children with SE were 0.908(95% CI: 0.848-0.967) and 0.887(95% CI: 0.831-0.942), respectively, both with the optimal cut-off value of 4.The sensitivity of STEPSS and PEDSS scores in predicting the death in children with SE were 0.740 and 0.846, respectively, and the specificity were 0.745 and 0.835, respectively.There was no significant difference in predicting the death in children with SE between the 2 scales ( P>0.05). In predicting adverse outcomes, the AUC of the STEPSS and PEDSS scores were 0.869(95% CI: 0.800-0.937) and 0.926(95% CI: 0.873-0.979), respectively, both with the optimal cut-off value of 3.The sensitivity of STEPSS and PEDSS scores in predicting adverse outcomes in children with SE were 0.827 and 0.900, respectively, and the specificity were 0.732 and 0.866, respectively.There was significant difference in predicting the adverse outcomes in children with SE between the 2 scales ( P<0.05). Conclusions:Compared with the STEPSS, the PEDSS has a higher application in predicting the short-term treatment outcome of children with SE, which can be used as a routine method to assess the prognosis of children with SE.

Objective To investigate the predictive value of lactate/albumin ratio(LAR),interleukin-6(IL-6)and CD4+T lymphocyte count in 28-day mortality in patients with severe pneumonia and sepsis.Methods A total of 73 patients with severe pneumonia and sepsis admitted to the Respiratory Intensive Care Unit(RICU)of Zhengzhou Central Hospital Affiliated to Zhengzhou University from January 2022 to June 2023 were enrolled and divided into the survival group(n=43)and the death group(n=30)according to their 28-day outcomes.The clinical data of the patients were collected from their electronic medical records,including age,gender,comorbidities with hypertension,diabetes,and coronary artery heart disease(CHD),as well as sequential organ failure assessment(SOFA)score,acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score,mean arterial pressure(MAP),confusion,uremia,respiratory rate,blood pressure,age ≥65 years(CURB-65)score,total bilirubin(Tbil),serum creatinine(Scr),platelet count(PLT),white blood cell(WBC)count,procalcitonin(PCT),and C-reactive protein(CRP)at admission to RICU.On the 1st,3rd,and 7th day after admission to RICU,the patients'arterial blood was drawn,and the lactate level was detected by a fully automated blood gas analyzer.The peripheral venous blood was drawn,and the serum albumin and IL-6 levels were detected by enzyme-linked immunosorbent assay,and the CD4+T lymphocyte subset count was measured by flow cytometry.The LAR of patients on the 1st,3rd and 7th day was calculated.The clinical data of the patients and the LAR,IL-6 level and CD4+T lymphocyte count on the 1st,3rd,and 7th day were compared between the two groups.The influencing factors of 28-day mortality in patients with severe pneumonia and sepsis were analyzed by logistic regression,and the predictive value of each influencing factor on the 28-day mortality in patients with severe pneumonia and sepsis was evaluated by the receiver operating characteristic(ROC)curve.Results There was no significant difference in gender,age,proportions of comorbidities with hypertension,diabetes and CHD,length of stay in RICU,and Tbil,MAP,PLT,Scr,WBC,PCT and CRP at admission to RICU(P＞0.05).The APACHE Ⅱ and CURB-65 scores of the patients in the death group were significantly higher than those in the survival group(P＜0.05).On the 1st,3rd and 7th day,the CD4+T lymphocyte count in the death group was significantly lower than that in the survival group,while the SOFA score was significantly higher than that in the survival group(P＜0.05).On the first day,there was no significant difference in the LAR and IL-6 level be-tween the death group and the survival group(P＞0.05).However,on the 3rd and 7th day,the LAR and IL-6 level in the death group were significantly higher than those in the survival group(P＜0.05).The LAR,IL-6 level and SOFA score on the 3rd and 7th day in the survival group were significantly lower than those on the 1st day,and these indicators on the 7th day were sig-nificantly lower than those on the 3rd day(P＜0.05);the CD4+T lymphocyte count on the 3rd and 7th day was significantly higher than that on the 1st day(P＜0.05),while it showed no significant difference on the 7th and 3r day(P＞0.05).The IL-6 level on the 7th day in the death group was significantly lower than that on the 1st and 3rd day(P＜0.05),while there was no significant difference in IL-6 level on the 1st day compared with the 3r day(P＞0.05);moreover,there was no significant difference in LAR,CD4+T lymphocyte count and SOFA score between each time point(P＞0.05).Pearson correlation analy-sis showed that on the 3rd day,the LAR and IL-6 level were significantly positively correlated with the SOFA score in patients with severe pneumonia and sepsis(r=0.385,0.394;P＜0.05).On the 7th day,the LAR and IL-6 level were also significantly positively correlated with the SOFA score(r=0.418,0.402;P＜0.05).On the 3 rd and 7 th day,CD4+T lymphocyte count was significantly negatively correlated with the SOFA score(r=-0.451,-0.454;P＜0.05).Logistic regression analysis showed that the APACHE Ⅱ score,LAR,IL-6 level and CD4+T lymphocyte count on the 3rd day,and the IL-6 level and CD4+T lym-phocyte count on the 7th day were the influencing factors for 28-day mortality in patients with severe pneumonia and sepsis(P＜0.05).The ROC curve showed that the APACHE Ⅱ score,LAR,IL-6 level and CD4+T lymphocyte count on the 3rd day and the combination of the three,IL-6 level and CD4+T lymphocyte count on the 7th day and the combination of the two had certain predictive value for the 28-day mortality in patients with severe pneumonia and sepsis(P＜0.05).The area under the ROC curve(AUC)of LAR,IL-6 level and CD4+T lymphocyte count on the 3rd day combined to predict 28-day mortality in patients with severe pneumonia and sepsis was 0.891,and the AUC of APACHE Ⅱ score for predicting 28-day mortality in pa-tients with severe pneumonia and sepsis was 0.769.The AUC values of LAR,IL-6 level and CD4+T lymphocyte count on the 3rd day for predicting 28-day mortality in patients with severe pneumonia and sepsis were 0.795,0.757 and 0.770,respective-ly,and the AUC values of IL-6 level and CD4+T lymphocyte count on the 7th day and their combination for predicting 28-day mortality in patients with severe pneumonia and sepsis were 0.743,0.802 and 0.888,respectively.Conclusion The 3-day LAR,IL-6 level and CD4+T lymphocyte count,and the 7-day IL-6 level and CD4+T lymphocyte count after admission are re-lated to the 28-day mortality in patients with severe pneumonia and sepsis.The combined LAR,IL-6 level and CD4+T lympho-cyte count on the 3rd day can better assess the severity and prognosis of patients.

Objective:To explore the expression of long non-coding RNA(lncRNA)ZIM2-AS1 in hepatocellular carcinoma(HCC)and its clinical significance as well as diagnostic value using the data obtained from the Cancer Genome Atlas(TCGA).Meth-ods:The transcriptome sequencing(RNA-seq)data and clinical information of 374 HCC tissues and 50 paired paracancerous tissues were gathered from the TCGA database,then the expression trends of ZIM2-AS1 in HCC and its correlation with clinicopathological features,prognosis,immune cell infiltration,as well as diagnostic value was inspected by bioinformatics analysis using relevant R packages.The expression of ZIM2-AS1 in human normal liver cell line and HCC cell lines was examined by qRT-PCR.Results:The ex-pression of ZIM2-AS1 was highly expressed in HCC tissues(P<0.001),and its expression level was significantly correlated with age,gender,N stage,histologic grade and AFP level(P all<0.05).The overall survival(OS)and disease specific survival(DSS)of patients with high ZIM2-AS1 expression were significantly shorter than those of patients with low expression(P<0.05),and ZIM2-AS1 was an in-dependent risk factor affecting OS.Immune cell infiltration analysis showed that ZIM2-AS1 was closely related to the infiltration of Th2 cells,CD56brightNK cells,follicular helper T cells(Tfh),neutrophils and plasmacytoid dendritic cells(pDC)(|Spearman's r|>0.1,P<0.05)in HCC.ROC curve analysis revealed that the expression level of ZIM2-AS1 possesse potential diagnostic value in HCC,N0 stage,histologic grade G1 and G2,OS and DSS(AUC all>0.50).qRT-PCR results showed that the expression level of ZIM2-AS1 in HCC cell lines was significantly higher than that in human normal liver cells(P all<0.05).Conclusion:The elevated expression of lncRNA ZIM2-AS1 is an independent risk factor for poor prognosis of HCC patient and has potential application value as a biomarker for HCC diagnosis,prognosis as well as tumor immune microenvironment assessment.

Objective To improve the efficiency of induced differentiation of primitive neural epithelial cells derived from human induced pluripotent stem cells(hiPSCs-NECs)into functional midbrain dopaminergic progenitor cells(DAPs).Methods HiPSCs were cultured in mTeSRTM medium containing DMH1(10 μmol/L),SB431542(10 μmol/L),SHH(200 ng/mL),FGF8(100 ng/mL),purmorphamine(2 μmol/L),CHIR99021(3 μmol/L),and N2(1%)for 12 days to induce their differentiation into primitive neuroepithelial cells(NECs).The hiPSCs-NECs were digested with collagenase IV and then cultured in neurobasal medium supplemented with 1%N2,2%B27-A,BDNF(10 ng/mL),GDNF(10 ng/mL),AA,TGF-β,cAMP,and 1%GlutaMax in the presence of different concentrations of Rho kinase inhibitor Y27632,and the culture medium was changed the next day to remove Y27632.Continuous induction was performed until day 28 to obtain DAPs.Results Human iPSCs expressed the pluripotency markers OCT4,SOX2,Nanog,and SSEA1 and were positive for alkaline phosphatase staining.The hiPSCs-NECs were obtained on day 13 in the form of neural rosettes expressing neuroepithelial markers SOX2,nestin,and PAX6.In digested hiPSCs-NECs,the addition of 5 μmol/L Y27632 significantly promoted survival of the adherent cells,increased cell viability and the proportion of S-phase cells(P<0.01),and reduced the rate of apoptotic cells(P<0.05).On day 28 of induction,the obtained cells highly expressed the specific markers of DAPS(TH,FOXA2,NURR1,and Tuj1).Conclusion Treatment with Y27632(5 μmol/L)for 24 h significantly promotes the survival of human iPSCs-NECs during their differentiation into DPAs without affecting the cell differentiation,which indirectly enhances the efficiency of cell differentiation.

Objective: To investigate the influencing factors for social alienation among the elderly patients with type 2 diabetes mellitus (T2DM), so as to provide insights into formulating targeted intervention measures. Methods: T2DM patients aged 60 years and older were selected from Hangzhou First People's Hospital from January to October 2023. Their demographics, diabetes complications were collected using questionnaire surveys, social support level was evaluated using the Social Support Scale, and the stigma was evaluated using the Chinese version of the Type 2 Diabetes Stigma Assessment Scale, and the social alienation was assessed using General Alienation Scale. Factors affecting the social alienation were identified among the elderly patients with T2DM using a multiple linear regression model. Results: A total of 316 elderly patients with T2DM were investigated, including 171 males (54.11%) and 145 females (45.89%), and had a mean age of (69.75±8.12) years. The level of social support was mainly medium, with 162 cases accounted for 51.27%. The average stigma scores were (61.87±12.50) points, and average social alienation scores were (42.09±6.33) points. Multiple linear regression analysis identified educational level (high school/junior college, β'=-0.159; college and above, β'=-0.301), marital status (married persons, β'=-0.236), monthly household income (3 000 Yuan and more, β'=-0.175), diabetes complications (β'=0.192), social support level (medium, β'=-0.210; high, β'=-0.352) and stigma score (β'=0.283) as factors affecting the social alienation among the elderly patients with T2DM. Conclusion The social alienation among the elderly patients with T2DM are associated with educational level, marital status, family income, diabetes complications, social support level and stigma.

Objective To explore the impact of non-pharmaceutical interventions(NPIs)on the prevalence of respiratory pathogens in adults,and to understand the scientific value and long-term effect of NPIs.Methods A retrospective study was conducted to collect the clinical data and laboratory examination data of adult patients with respiratory tract infection in West China Hospital,Sichuan University from 2017 to 2023,and the patho-gen,population,season and other aspects were analyzed in different periods.The analysis period included 2017 to 2019(before the implementation of NPIs),2020 to 2022(during the implementation of NPIs),and January to December 2023(after the implementation of NPIs).Results A total of 33 068 adult patients with respira-tory tract infection were included.The overall prevalence of 8 adult respiratory pathogens from 2017 to 2019(26.95％)was higher than that from 2020 to 2022(8.70％),and the difference was statistically significant(P＜0.05).There were significant differences in the prevalence of pathogens among different genders,ages and seasons in the first,middle and last three periods of NPIs implementation(P＜0.05).Before the imple-mentation of NPIs,the seasonal peak of respiratory prevalence appeared from January to March each year.With the implementation of NPIs,the seasonal peak of respiratory prevalence appeared from January to March 2020(10.09％),October to December 2021(9.32％),July to September 2022(15.23％),respectively.After the implementation of NPIs,the seasonal peak of respiratory prevalence appeared from October to December 2023(21.20％).Among the 8 pathogens,the change of prevalence of influenza A virus H1N1(2009)was the most obvious,and the prevalence was 17.42％,0.00％and 6.99％before,during and after the implementation of NPIs,respectively.Conclusion Due to the influence of NPIs and other factors,the epidemic characteristics of respiratory pathogens have changed from 2017 to 2023.Attention to the emerging characteristics of patho-gen prevalence is important for the prevention,diagnosis and control of respiratory infectious diseases during public health emergencies.