ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza， and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter， prospective， non-randomized， parallel， controlled trial was conducted from October 2021 to May 2022 in five hospitals， including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness （ILI） cases were collected， and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention， they were assigned to the observation group （108 cases） or the control group （108 cases）. Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine （TCM） symptom score scale for influenza， influenza-related emergency （outpatient） visit rate， influenza hospitalization rate， and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled， with 108 in the observation group and 108 in the control group. Primary outcomes： （1） Incidence of ILI： The incidence was 12.0% （13/108） in the observation group and 23.1% （25/108） in the control group， with the observation group showing a significantly lower incidence （χ²=4.6， P<0.05）. （2） Influenza confirmation rate： 3.7% （4/108） in the observation group and 4.6% （5/108） in the control group， with no statistically significant difference. Secondary outcomes： （1） TCM symptom score scale： after onset， nasal congestion and runny nose scores differed significantly between the two groups （P<0.05）， while other symptoms such as fever， sore throat， and cough showed no significant differences. （2） Influenza-related emergency （outpatient） visit rate： 84.6% （11 cases） in the observation group and 96.0% （24 cases） in the control group， with no significant difference. （3） Time to onset after exposure： The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group， with a statistically significant difference （P<0.05）. ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions， Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.

ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza， and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter， prospective， non-randomized， parallel， controlled trial was conducted from October 2021 to May 2022 in five hospitals， including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness （ILI） cases were collected， and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention， they were assigned to the observation group （108 cases） or the control group （108 cases）. Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine （TCM） symptom score scale for influenza， influenza-related emergency （outpatient） visit rate， influenza hospitalization rate， and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled， with 108 in the observation group and 108 in the control group. Primary outcomes： （1） Incidence of ILI： The incidence was 12.0% （13/108） in the observation group and 23.1% （25/108） in the control group， with the observation group showing a significantly lower incidence （χ²=4.6， P<0.05）. （2） Influenza confirmation rate： 3.7% （4/108） in the observation group and 4.6% （5/108） in the control group， with no statistically significant difference. Secondary outcomes： （1） TCM symptom score scale： after onset， nasal congestion and runny nose scores differed significantly between the two groups （P<0.05）， while other symptoms such as fever， sore throat， and cough showed no significant differences. （2） Influenza-related emergency （outpatient） visit rate： 84.6% （11 cases） in the observation group and 96.0% （24 cases） in the control group， with no significant difference. （3） Time to onset after exposure： The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group， with a statistically significant difference （P<0.05）. ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions， Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.

Objective:Gastrointestinal heat retention syndrome (GHRS) is associated with lung-heat syndrome and is related to recurrent respiratory infection.Upper respiratory tract infection (URTI) lung heat syndrome is common in children.The study will explore the effect of GHRS on the structure and function of gut microbiota in children with URTI lung-heat syndrome.Methods:Participants were divided into both groups using the self-developed URTI scale and the "GHRS Diagnostic Scale · Pediatric Part":GHRS-positive children (LS group) and GHRS-negative children (L group).General information,clinical symptoms,and stool were collected.We used 16S rRNA amplicon sequencing technology to determine the gene sequence of the V3-V4 region in feces and measure the gut microbiota of the both groups at the genus level.Results:A total of 23 children were included in the both groups.There were 12 cases in the LS group and 11 cases in the L group.There was no statistical difference between the both groups in age,gender,height,weight,and body mass index.The effective sequences shared by the both groups accounted for 85.66％ of the total.In the gut microbiota,there was no difference in the α diversity and the β diversity between the both groups.Compared with the L group,the LS group had a significant increase in the relative abundance of the Rurninococcus gnavus group,Prevotella-9,Staphylococcus,and Actinomyces(P ＜.05).The functions of the both groups of microbiota primarily concentrate on metabolism,genetic information processing,and environmental information processing.The relative abundance of signaling molecules and interactions in the LS group were higher than that in the L group (P ＜.05).The redun-dancy analysis (RDA) showed that the URTI score had the greatest impact on the distribution of microbiota.Conclusion:GHRS may affect the development of URTI lung-heat syndrome by changing the relative abundances of gut microbiota.

Objective: To search for specific metabolites in the lungs of pneumonia rats fed with a high-calorie diet, as well as explore the changes in the lung metabolites of young rats treated with Yinlai Decoction (YD) and its effects on inflammation-related metabolic pathways.Methods: Lipopolysaccharides (LPS) and a special high-calorie diet were used to induce Sprague Dawley (SD) rats to simulate the intestinal state of infant pneumonia. Liquid chromatography-mass spectrometry technology (LC-MS/MS) was used to detect metabolites in each group. Supervised orthogonal partial least squares discriminant analysis (OPLS-DA) model values were used for the detection results to find the differential metabolites. The metabolic pathways that are involved with the differential metabolites were clarified through enrichment analysis and topological analysis. Finally, the T cell receptor signaling pathway (TCR) signal conversion was analyzed by the network pharmacology method. Results: In the high-calorie diet combined with pneumonia group (M3), a total of 55 metabolites were determined to be different from the normal group (N). A total of 36 metabolites were determined to be different from those in the lung metabolites of the YD treatment group (T1). YD had a regulatory effect on glutathione metabolism, arginine and proline metabolism, ascorbic acid and aldehyde metabolism and phenylalanine metabolism. And the small molecule metabolites could act on the FYN and lymphocyte-specific protein tyrosine kinase (LCK) target proteins in the TCR signaling pathway, thereby affecting the immune function of the lungs. Conclusion: A high-calorie diet can cause abnormal sphingolipid metabolism in the lungs of young rats, thereby creating chronic lung inflammation in young rats. YD has a beneficial effect when used to treat young rats with LPS-induced pneumonia fed on high-calorie diets. Its mechanisms of action may affect the body's immune pathways by regulating the oxidative stress pathway affected by glutathione metabolism.

Objective By analyzing the epidemic characteristics and related indicators of SARS (2003) and COVID-19(2020), to explore the reasons for the similarities and differences of the two epidemics, so as to provide reference for epidemic prevention and control. Methods The general situation, clinical classification, activity history, contact history, family members’ contact and incidence of the two infectious diseases in Guangzhou were collected and used to analyze the time characteristics, occupational characteristics, age characteristics and other key indicators of the two diseases, including the number of cases, composition ratio (%), mean, median, crude mortality, etc. Results A total of 1 072 cases of SARS (2003) were included in the study. 353 of which were severe cases with the incidence of 30.13%. 43 cases of death were reported with a mortality rate of 4.01%. The average age was 46 years old, and 26.31% of the cases were medical staff. The interval time between first report to continuous zero reports was 129 days. As to COVID-19 (2020), a total of 346 cases were included. 58 of which were severe cases with the incidence of 16.67%. One case of death was reported with a mortality rate of 0.29%. The average age was 38 years old, and no hospital infection among medical staff was reported. The interval time between first report to continuous zero reports was 35 days. Conclusions The prevention and control strategies for COVID-19 (2010) are more effective compared to that of SARS (2003), and the emergency response procedures are worth to be evaluated and summarized.

The novel coronavirus pneumonia (NCP) continues to spread throughout the country, and the prevention and control of the epidemic has entered a critical period. However, southern cities with severe outbreaks are about to enter the seasonal influenza season. We should strengthen the epidemiological investigation, optimize the laboratory testing strategy, take effective measures, strengthen the prevention and control of influenza epidemic, and minimize the interference to the new coronavirus epidemic.

Objective:To confirm the possible pathogen causing an outbreak of respiratory infectious disease in Beijing.Methods:Oropharyngeal swabs were collected from 14 cases with fever and detected by RT-PCR for respiratory viruses and bacteria. For specimens positive for adenoviruses, Fiber, Hexon and Penton gene fragments were amplified with specific primers and sequenced. BLAST and phylogenetic tree were used for sequence analysis.Results:All of the 14 specimens were adenovirus-positive. BLAST analysis of the sequences of Fiber, hexon and Penton genes showed that the 14 cases were all caused by adenovirus 3. The phylogenic tree analysis indicated that this adenovirus was closely related to an adenovirus of 3a51 genotype (GenBank No: KF268123) isolated in the USA in 2007.Conclusions:Human adenovirus genotype 3a51 caused this outbreak of respiratory infectious disease in Beijing.

COVID-19 continues to spread throughout the country, and the prevention and control of the epidemic has entered a critical period. However, southern cities with severe outbreaks are about to enter the seasonal influenza season. We should strengthen the epidemiological investigation, optimize the laboratory testing strategy, take effective measures, strengthen the prevention and control of influenza epidemic, and minimize the interference to the COVID-19 epidemic.

Objective:To compare epidemic characteristics between severe acute respiratory syndrome (SARS) and coronavirus disease 2019 (COVID-19).Methods:The general information, including epidemiological and clinical data of the confirmed cases during the epidemic period of the two infectious diseases was collected. The data of SARS in Guangzhou was derived from the technical files of Guangzhou Center for Disease Control and Prevention (GZCDC), including the statistical report and brief report of the epidemic situation (from January 2 to May 11, 2003);The data of COVID-19 in Wuhan was derived from the epidemic data published by Wuhan health and Health Committee's official website and other publicly reported documents (from December 9, 2019 to March 11, 2020). Descriptive analysis was used for a comparativeanalysis of the time and age characteristics, the number of cases, basic reproduction number (R0), proportion of medical staff in confirmed cases (%), crude mortality, etc.Results:A total of 1 072 cases of SARS in Guangzhou were included in the study. The incidence ratio of male to female was 1∶1.26. 43 cases of death were reported with a mortality rate of 4.01%. The median age was 36 years old. The proportion of medical staff in the early stage of the epidemic was 29.04% (88 cases). As to COVID-19 in Wuhan, a total of 49 978 cases were included, The incidence ratio of male to female was 1.04∶1. The 2 423 cases of death were reported with a mortality rate of 4.85%. The median age was 56 years old. The proportion of medical staff in the early stage of the epidemic was 30.43% (42 cases).Conclusion:The COVID-19 in Wuhan has the characteristics of high incidence and wide population. However, the epidemic situation is falling rapidly, and the prevention and control strategy needs to be adjusted timely. The prevention and control of nosocomial infection should be addressed in future.

COVID-19 continues to spread throughout the country, and the prevention and control of the epidemic has entered a critical period. However, southern cities with severe outbreaks are about to enter the seasonal influenza season. We should strengthen the epidemiological investigation, optimize the laboratory testing strategy, take effective measures, strengthen the prevention and control of influenza epidemic, and minimize the interference to the COVID-19 epidemic.