Xiao Chaihu Decoction combined with Maxing Shigan Decoction is a classic herbal formula. All of them are derived from Treatise on Cold Damage(Shang Han Lun) by ZHANG Zhong-jing. This combination has the effects of harmonizing lesser yang, relieving exterior syndrome, clearing lung heat, and relieving panting. It is mainly used for treating the disease involving the triple-Yang combination of diseases and accumulation of pathogenic heat in the lung. Xiao Chaihu Decoction combined with Maxing Shigan Decoction is a classic combination for the treatment of exogenous diseases involving the triple-Yang combination. They are commonly used in exogenous diseases, especially in the north of China. This combination is also the main treatment strategy for coronavirus disease 2019(COVID-19) accompanied by fever and cough. Maxing Shigan Decoction is a classical herbal formula for treating the syndrome of phlegm-heat obstructing the lung. "Dyspnea after sweating" suggests the accumulation of pathogenic heat in the lung. Patients with mild symptoms may develop cough and asthma along with forehead sweating, and those in critical severe may develop whole-body sweating, especially the front chest. Modern medicine believes that the above situation is related to lung infection. "Mild fever" refers to syndromes rather than pathogenesis. It does not mean that the heat syndrome is not heavy, instead, it suggests that severe heat and inflammation have occurred. The indications of Xiao Chaihu Decoction combined with Maxing Shigan Decoction are as follows.(1) In terms of diseases, it is suitable for the treatment of viral pneumonia, bronchopneumonia, lobar pneumonia, mycoplasma pneumonia, COVID-19 infection, measles with pneumonia, severe acute respiratory syndrome(SARS), avian influenza, H1N1 influenza, chronic obstructive pulmonary disease with acute exacerbation, pertussis, and other influenza and pneumonia.(2) In terms of syndromes, it can be used for the syndromes of bitter mouth, dry pharynx, vertigo, loss of appetite, vexation, vomiting, and fullness and discomfort in the chest and hypochondrium. It can also be used to treat alternate attacks of chill and fever and different degrees of fever, as well as chest tightness, cough, asthma, expectoration, dry mouth, wanting cold drinks, feeling agitated, sweating, yellow urine, dry stool, red tongue, yellow or white fur, and floating, smooth, and powerful pulse, especially the right wrist pulse.
Animals ; Humans ; Cough ; Syndrome ; Influenza A Virus, H1N1 Subtype ; Influenza, Human ; COVID-19 ; Drugs, Chinese Herbal/pharmacology* ; Lung ; Pulmonary Disease, Chronic Obstructive/drug therapy* ; Asthma ; Critical Care ; Medicine, Chinese Traditional

Humans ; Child ; Brain Diseases ; Influenza, Human/diagnosis* ; Influenza A virus

Influenza is an acute viral respiratory infection that has caused high morbidity and mortality worldwide. Influenza A virus (IAV) has been found to activate multiple programmed cell death pathways, including ferroptosis. Ferroptosis is a novel form of programmed cell death in which the accumulation of intracellular iron promotes lipid peroxidation, leading to cell death. However, little is known about how influenza viruses induce ferroptosis in the host cells. In this study, based on network pharmacology, we predicted the mechanism of action of Maxing Shigan decoction (MXSGD) in IAV-induced ferroptosis, and found that this process was related to biological processes, cellular components, molecular function and multiple signaling pathways, where the hypoxia inducible factor-1(HIF-1) signaling pathway plays a significant role. Subsequently, we constructed the mouse lung epithelial (MLE-12) cell model by IAV-infected in vitro cell experiments, and revealed that IAV infection induced cellular ferroptosis that was characterized by mitochondrial damage, increased reactive oxygen species (ROS) release, increased total iron and iron ion contents, decreased expression of ferroptosis marker gene recombinant glutathione peroxidase 4 (GPX4), increased expression of acyl-CoA synthetase long chain family member 4 (ACSL4), and enhanced activation of hypoxia inducible factor-1α (HIF-1α), induced nitric oxide synthase (iNOS) and vascular endothelial growth factor (VEGF) in the HIF-1 signaling pathway. Treatment with MXSGD effectively reduced intracellular viral load, while reducing ROS, total iron and ferrous ion contents, repairing mitochondrial results and inhibiting the expression of cellular ferroptosis and the HIF-1 signaling pathway. Finally, based on animal experiments, it was found that MXSGD effectively alleviated pulmonary congestion, edema and inflammation in IAV-infected mice, and inhibited the expression of ferroptosis-related protein and the HIF-1 signaling pathway in lung tissues.
Animals ; Mice ; Ferroptosis ; Network Pharmacology ; Reactive Oxygen Species ; Vascular Endothelial Growth Factor A ; Influenza A virus ; Iron ; Hypoxia

We developed a method for accurate quantification of the intact virus particles in inactivated avian influenza virus feedstocks. To address the problem of impurities interference in the detection of inactivated avian influenza virus feedstocks by direct high performance size exclusion chromatography (HPSEC), we firstly investigated polyethylene glycol (PEG) precipitation and ion exchange chromatography (IEC) for H5N8 antigen purification. Under the optimized conditions, the removal rate of impurity was 86.87% in IEC using DEAE FF, and the viral hemagglutination recovery was 100%. HPSEC was used to analyze the pretreated samples. The peak of 8.5-10.0 min, which was the characteristic adsorption of intact virus, was analyzed by SDS-PAGE and dynamic light scattering. It was almost free of impurities and the particle size was uniform with an average particle size of 127.7 nm. After adding antibody to the IEC pretreated samples for HPSEC detection, the characteristic peak disappeared, indicating that IEC pretreatment effectively removed the impurities. By coupling HPSEC with multi-angle laser scattering technique (MALLS), the amount of intact virus particles in the sample could be accurately quantified with a good linear relationship between the number of virus particles and the chromatographic peak area (R²=0.997). The established IEC pretreatment-HPSEC-MALLS assay was applied to accurate detection of the number of intact virus particles in viral feedstocks of different subtypes (H7N9), different batches and different concentrations, all with good applicability and reproducibility, Relative standard deviation < 5%, n=3.
Animals ; Reproducibility of Results ; Influenza A Virus, H7N9 Subtype ; Influenza in Birds ; Chromatography, Gel ; Virion ; Lasers

Poria is an important medical herb in clinic. The authors isolated a polysaccharide(PCP-Ⅰ) from Poria in previous studies, which is composed of galactose, mannose, fucose and glucose. PCP-Ⅰ exhibited significant adjuvant effects on H1N1 influenza vaccine, hepatitis B surface antigen and anthrax protective antigen, and its adjuvant activity was stronger than aluminium adjuvant. However, little is known about the chemical structure of PCP-Ⅰ at present. In this study, weak acid hydrolysis was used to obtain the backbone oligosaccharide of PCP-Ⅰ. Then periodate oxidation, Smith degradation, methylation analysis, Fourier transform infrared spectroscopy(FT-IR), nuclear magnetic resonance(NMR) and gas chromatography-mass spectrometry(GC-MS) were performed to investigate the chemical structural features of PCP-Ⅰ and its hydrolytic oligosaccharide(PCP-Ⅰ-hy-1). These results suggested that the backbone of PCP-Ⅰ was composed of galactose with α anomeric carbon and β anomeric carbon. The linking residues of galactan are(1→),(l→6) and(1→2,6).
Adjuvants, Vaccine ; Poria ; Hydrolysis ; Spectroscopy, Fourier Transform Infrared ; Galactose ; Influenza A Virus, H1N1 Subtype ; Polysaccharides/chemistry* ; Oligosaccharides ; Carbon

Objective: To analyze the spatial and temporal distribution characteristics of seasonal A(H3N2) influenza [influenza A(H3N2)] in China and to provide a reference for scientific prevention and control. Methods: The influenza A(H3N2) surveillance data in 2014-2019 was derived from China Influenza Surveillance Information System. A line chart described the epidemic trend analyzed and plotted. Spatial autocorrelation analysis was conducted using ArcGIS 10.7, and spatiotemporal scanning analysis was conducted using SaTScan 10.1. Results: A total of 2 603 209 influenza-like case sample specimens were detected from March 31, 2014, to March 31, 2019, and the influenza A(H3N2) positive rate was 5.96%(155 259/2 603 209). The positive rate of influenza A(H3N2) was statistically significant in the north and southern provinces in each surveillance year (all P<0.05). The high incidence seasons of influenza A (H3N2) were in winter in northern provinces and summer or winter in southern provinces. Influenza A (H3N2) clustered in 31 provinces in 2014-2015 and 2016-2017. High-high clusters were distributed in eight provinces, including Beijing, Tianjin, Hebei, Shandong, Shanxi, Henan, Shaanxi, and Ningxia Hui Autonomous Region in 2014-2015, and high-high clusters were distributed in five provinces including Shanxi, Shandong, Henan, Anhui, and Shanghai in 2016-2017. Spatiotemporal scanning analysis from 2014 to 2019 showed that Shandong and its surrounding twelve provinces clustered from November 2016 to February 2017 (RR=3.59, LLR=9 875.74, P<0.001). Conclusion: Influenza A (H3N2) has high incidence seasons with northern provinces in winter and southern provinces in summer or winter and obvious spatial and temporal clustering characteristics in China from 2014-2019.
Humans ; Influenza, Human/epidemiology* ; China/epidemiology* ; Influenza A Virus, H3N2 Subtype ; Seasons ; Cluster Analysis

Objective: To grasp the epidemiological characteristics of influenza outbreaks in Guangdong Province by analyzing the outbreaks of influenza-like cases reported in Guangdong Province from January 2015 to the end of August 2022. Methods: In response to the outbreak of epidemics in Guangdong Province from 2015 to 2022, information on on-site epidemic control was collected, and epidemiological analysis was conducted to describe the characteristics of the epidemics. The factors that influence the intensity and duration of the outbreak were determined through a logistic regression model. Results: A total of 1 901 influenza outbreaks were reported in Guangdong Province, with an overall incidence of 2.05%. Most outbreak reports occurred from November to January of the following year (50.24%, 955/1 901) and from April to June (29.88%, 568/1 901). A total of 59.23% (1 126/1 901) of the outbreaks were reported in the Pearl River Delta region, and primary and secondary schools were the main places where outbreaks occurred (88.01%, 1 673/1 901). Outbreaks with 10-29 cases were the most common (66.18%, 1 258/1 901), and most outbreaks lasted less than seven days (50.93%,906/1 779). The size of the outbreak was related to the nursery school (aOR=0.38, 95%CI:0.15-0.93), the Pearl River Delta region (aOR=0.60, 95%CI:0.44-0.83), the time interval between the onset of the first case and the time of report (>7 days compared with ≤3 days: aOR=3.01, 95%CI:1.84-4.90), the influenza A(H1N1) (aOR=2.02, 95%CI:1.15-3.55) and the influenza B (Yamagata) (aOR=2.94, 95%CI: 1.50-5.76). The duration of outbreaks was related to school closures (aOR=0.65, 95%CI: 0.47-0.89), the Pearl River Delta region (aOR=0.65, 95%CI: 0.50-0.83) and the time interval between the onset of the first case and the time of report (>7 days compared with ≤3 days: aOR=13.33, 95%CI: 8.80-20.19; 4-7 days compared with ≤3 days: aOR=2.56, 95%CI: 1.81-3.61). Conclusions: An influenza outbreak in Guangdong Province exhibits two peaks, one in the winter and spring seasons and the other in the summer. Primary and secondary schools are high-risk areas, and early reporting of outbreaks is critical for controlling influenza outbreaks in schools. Furthermore, comprehensive measures should be taken to prevent the spread of the epidemic.
Humans ; Influenza A Virus, H1N1 Subtype ; Influenza, Human/epidemiology* ; Disease Outbreaks ; Epidemics ; China/epidemiology*

OBJECTIVES: To investigate the distribution characteristics of non-bacterial pathogens in community-acquired pneumonia (CAP) in children. METHODS: A total of 1 788 CAP children admitted to Shenyang Children's Hospital from December 2021 to November 2022 were selected. Multiple RT-PCR and capillary electrophoresis were used to detect 10 viral pathogens and 2 atypical pathogens, and serum antibodies of Chlamydial pneumoniae (Ch) and Mycoplasma pneumoniae (MP) were detected. The distribution characteristics of different pathogens were analyzed. RESULTS: Among the 1 788 CAP children, 1 295 children were pathogen-positive, with a positive rate of 72.43% (1 295/1 788), including a viral pathogen positive rate of 59.68% (1 067/1 788) and an atypical pathogen positive rate of 22.04% (394/1 788). The positive rates from high to low were MP, respiratory syncytial virus (RSV), influenza B virus (IVB), human metapneumovirus (HMPV), human rhinovirus (HRV), human parainfluenza virus (HPIV), influenza A virus (IVA), bocavirus (BoV), human adenovirus (HADV), Ch, and human coronavirus (HCOV). RSV and MP were the main pathogens in spring; MP had the highest positive rate in summer, followed by IVA; HMPV had the highest positive rate in autumn; IVB and RSV were the main pathogens in winter. The positive rate of MP in girls was higher than that in boys (P<0.05), and there were no significant differences in other pathogens between genders (P>0.05). The positivity rates of certain pathogens differed among age groups (P<0.05): the positivity rate of MP was highest in the >6 year-old group; the positivity rates of RSV and Ch were highest in the <1 year-old group; the positivity rates of HPIV and IVB were highest in the 1 to <3 year-old group. RSV, MP, HRV, and HMPV were the main pathogens in children with severe pneumonia, while MP was the primary pathogen in children with lobar pneumonia, and MP, IVB, HMPV, RSV, and HRV were the top 5 pathogens in acute bronchopneumonia. CONCLUSIONS MP, RSV, IVB, HMPV, and HRV are the main pathogens of CAP in children, and there are certain differences in the positive rates of respiratory pathogens among children of different ages, genders, and seasons.
Humans ; Child ; Female ; Male ; Infant ; Child, Preschool ; Pneumonia ; Respiratory Syncytial Virus, Human ; Antibodies ; Community-Acquired Infections ; Hospitalization ; Influenza B virus ; Mycoplasma pneumoniae

This study aims to develop a rapid and convenient test card for simultaneous detection of influenza A and influenza B viruses using quantum dot-based immunochromatographic assay. The test card consists of a test strip and a plastic casing. The test strip is composed of absorbent paper, a buffer pad, nitrocellulose membrane (NC membrane), sample pad, quantum dot-labeled antibody pad, and polyvinyl chloride (PVC) board. The NC membrane is coated with mouse monoclonal antibodies against influenza A and influenza B viruses for the T lines (test lines), and reference proteins A and B for the C line (control line). The quantum dot-labeled antibody pad contains mouse monoclonal antibody-quantum dot conjugates against influenza A and influenza B viruses. The results showed that the detection limit of the test card for both viruses ranged from 1.51 ×10² to 2.71×10³ TCID50/ml, indicating its sensitivity for accurate detection of influenza A and influenza B viruses without being affected by various variants. The test card exhibited specific reactions with different subtypes of influenza A and influenza B virus culture fluids and showed no cross-reactivity with adenovirus, novel coronavirus, Mycoplasma pneumoniae, respiratory syncytial virus, Staphylococcus aureus, and other pathogens. Overall, the sensitivity and specificity of the test card for simultaneous detection of influenza A and influenza B viruses meet the requirements for clinical use. It offers the advantages of simplicity, rapidity, and no requirement for special equipment, enabling quick auxiliary diagnosis to prevent disease transmission.
Animals ; Mice ; Humans ; Influenza, Human/diagnosis* ; Herpesvirus 1, Cercopithecine ; COVID-19 ; Sensitivity and Specificity ; Influenza B virus

To explore the situation of 8 common respiratory pathogens in children with acute respiratory infection (ARI) from 2021 to 2022.The retrospective study selected 8 710 ARI patients from September 2021 to August 2022 in the Maternal and Child Health Hospital of Gansu Province as the study object, patients aged 0 to 17 years old, including 5 048 male children and 3 662 female children. Indirect immunofluorescence was used to detect 8 common respiratory pathogens, including influenza virus A (FluA), influenza virus B (FluB), parainfluenza virus (PIV), respiratory syncytial virus (RSV), adenovirus (ADV), Mycoplasma pneumoniae (MP), Chlamydia pneumoniae (CP), and Coxsackie virus group B (CoxB) IgM antibodies. χ² test was used to analyze the results. The results showed that 1 497 of 8 710 children with ARI were positive, with a positive rate of 17.19%. The detection rate of MP among 8 common respiratory pathogens was 11.34%, accounting for 66.0%, followed by FluB, CoxB, PIV, RSV, ADV, FluA and CP, accounting for 13.83%, 9.55%, 6.01%, 2.61%, 1.47%, 0.40% and 0.13%, respectively. Respiratory tract viruses (FluA, FluB, RSV, ADV, PIV, CoxB) accounted for 33.86%.There were significant differences in the detection rates of PIV, ADV and MP among children of different genders (χ²=6.814, 5.154 and 17.784, P<0.05). The detection rate of school-age children (6-17 years old) was the highest, accounting for 33.27% (184/553). The detection rates of 8 common respiratory pathogens in patients with ARI were higher in spring and winter and lower in summer and autumn. To sum up, from 2021 to 2022, MP and FluB infection were dominant in ARI patients in our hospital. The peak period of 8 common respiratory pathogens was in spring and winter. The physical examination rate of 8 common respiratory pathogens in ARI patients aged 6-17 years old was the highest.
Child ; Humans ; Male ; Female ; Infant ; Infant, Newborn ; Child, Preschool ; Adolescent ; Retrospective Studies ; Respiratory Tract Infections/epidemiology* ; Respiratory Syncytial Virus, Human ; Seasons ; Mycoplasma pneumoniae ; Adenoviridae ; Influenza B virus