1.Changes of hemagglutinin gene characteristics of influenza virus A(H3N2) during the 2022-2024 influenza season in Beijing
Daitao ZHANG ; Xiaomin PENG ; Li ZHANG ; Jiachen ZHAO ; Jun XUN ; Yanhui CHU ; Lin ZOU ; Lili JI ; Peng YANG ; Quanyi WANG ; Guilan LU
Chinese Journal of Epidemiology 2025;46(6):1058-1066
Objective:To analyze the changes in the phylogenetic and antigenic characteristics of the hemagglutinin (HA) gene of influenza virus A(H3N2) [A(H3N2)] during the 2022-2024 influenza seasons in Beijing.Methods:The data of influenza-like cases and A(H3N2) strains from 17 network laboratories and their corresponding sentinel hospitals were collected during the 2022-2024 influenza seasons. The HA genes were amplified and sequenced after extracting nucleic acids of the chosen virus strains. BioEdit, the nucleotide and amino acid sequence identity were conducted, and the maximum likelihood method in MEGA 5.0 software was used to construct the phylogenetic tree of HA genes. Web Logo displayed the amino acid mutation, and the N-glycosylation sites of HA online were analyzed using the NetNGlyc1.0 Server online. The Datamonkey platform was utilized to analyze the positive selection pressure sites of the HA protein.Results:The 2022-2024 influenza season includes 2022-2023 and 2023-2024. During the influenza seasons of 2022-2024, the positive rates of A(H3N2) nucleic acid were 10.35% (2 127/20 543) and 10.47% (4 386/41 876), respectively. In the 2022-2023 influenza season, there were two peaks in the A(H3N2). The comparison of HA genes between all A(H3N2) strains studied with the 2022-2024 vaccine strain (A/Darwin/9/2021) revealed that all of the strains studied have the two amino acid mutations involving 186 and 225 receptor binding sites. There were 31 amino acid substitutions in the 2022-2023 influenza season, of which 18 variant sites involved antigenic determinants. There were 35 amino acid mutations during the 2023-2024 influenza season, of which 14 were related to antigenic determinants. There were changes in the genetic evolutionary subclades of A(H3N2) strains in two influenza seasons: from 2022 to 2023, three evolutionary subclades were co-prevalent together, with the 3C.2a1b.2a.2a.3a.1 accounting for 76.67% (23/30), the 3C.2a1b.2a.1a accounting for 20.00% (6/30), the 3C.2a1b.2a.2a.1 accounting for 3.33% (1/30); from 2023 to 2024, two subclades were prevalent, with 3C.2a1b.2a.2a.3a.1 accounting for 95.12% (39/41) and 3C.2a1b.2a.2a.1 accounting for 4.88% (2/41). The glycosylation site changes of the HA protein of A(H3N2) have been enhanced from 2023 to 2024. The 145 amino acid position of the HA protein of the A(H3N2) was the positive selection site for stress selection site analysis.Conclusions:The evolutionary subclades of the HA gene of A(H3N2) in Beijing showed changes from 2022 to 2024, and the glycosylation site polymorphism of the HA protein of A(H3N2) significantly increased from 2023 to 2024. Continuous monitoring of HA mutations in the A(H3N2) is crucial, providing a basis for developing influenza prevention and control strategies, as well as new strategic support for screening influenza vaccine components, vaccine design, and discovery of drug targets.
2.Changes of hemagglutinin gene characteristics of influenza virus A(H3N2) during the 2022-2024 influenza season in Beijing
Daitao ZHANG ; Xiaomin PENG ; Li ZHANG ; Jiachen ZHAO ; Jun XUN ; Yanhui CHU ; Lin ZOU ; Lili JI ; Peng YANG ; Quanyi WANG ; Guilan LU
Chinese Journal of Epidemiology 2025;46(6):1058-1066
Objective:To analyze the changes in the phylogenetic and antigenic characteristics of the hemagglutinin (HA) gene of influenza virus A(H3N2) [A(H3N2)] during the 2022-2024 influenza seasons in Beijing.Methods:The data of influenza-like cases and A(H3N2) strains from 17 network laboratories and their corresponding sentinel hospitals were collected during the 2022-2024 influenza seasons. The HA genes were amplified and sequenced after extracting nucleic acids of the chosen virus strains. BioEdit, the nucleotide and amino acid sequence identity were conducted, and the maximum likelihood method in MEGA 5.0 software was used to construct the phylogenetic tree of HA genes. Web Logo displayed the amino acid mutation, and the N-glycosylation sites of HA online were analyzed using the NetNGlyc1.0 Server online. The Datamonkey platform was utilized to analyze the positive selection pressure sites of the HA protein.Results:The 2022-2024 influenza season includes 2022-2023 and 2023-2024. During the influenza seasons of 2022-2024, the positive rates of A(H3N2) nucleic acid were 10.35% (2 127/20 543) and 10.47% (4 386/41 876), respectively. In the 2022-2023 influenza season, there were two peaks in the A(H3N2). The comparison of HA genes between all A(H3N2) strains studied with the 2022-2024 vaccine strain (A/Darwin/9/2021) revealed that all of the strains studied have the two amino acid mutations involving 186 and 225 receptor binding sites. There were 31 amino acid substitutions in the 2022-2023 influenza season, of which 18 variant sites involved antigenic determinants. There were 35 amino acid mutations during the 2023-2024 influenza season, of which 14 were related to antigenic determinants. There were changes in the genetic evolutionary subclades of A(H3N2) strains in two influenza seasons: from 2022 to 2023, three evolutionary subclades were co-prevalent together, with the 3C.2a1b.2a.2a.3a.1 accounting for 76.67% (23/30), the 3C.2a1b.2a.1a accounting for 20.00% (6/30), the 3C.2a1b.2a.2a.1 accounting for 3.33% (1/30); from 2023 to 2024, two subclades were prevalent, with 3C.2a1b.2a.2a.3a.1 accounting for 95.12% (39/41) and 3C.2a1b.2a.2a.1 accounting for 4.88% (2/41). The glycosylation site changes of the HA protein of A(H3N2) have been enhanced from 2023 to 2024. The 145 amino acid position of the HA protein of the A(H3N2) was the positive selection site for stress selection site analysis.Conclusions:The evolutionary subclades of the HA gene of A(H3N2) in Beijing showed changes from 2022 to 2024, and the glycosylation site polymorphism of the HA protein of A(H3N2) significantly increased from 2023 to 2024. Continuous monitoring of HA mutations in the A(H3N2) is crucial, providing a basis for developing influenza prevention and control strategies, as well as new strategic support for screening influenza vaccine components, vaccine design, and discovery of drug targets.
3.Preliminary investigation and analysis on the epidemic situation of Redondoviridae in Beijing
Jiachen ZHAO ; Yimeng LIU ; Lin ZOU ; Xiaomin PENG ; Guilan LU ; Cheng QIAN ; Shujuan CUI ; Daitao ZHANG ; Weixian SHI
Chinese Journal of Experimental and Clinical Virology 2023;37(2):135-139
Objective:To understand the epidemic situation of Redondoviridae in Beijing and analyze its epidemiologic characteristics.Methods:Pharyngeal swab samples of healthy people and patients with acute respiratory infection in Beijing, including influenza like cases and severe acute respiratory infection (SARI) cases in hospitals were collected. Real time PCR was used to detect the nucleic acid of Redondoviridae. The positive samples were amplified and sequenced to analyze their species. The age and sex distribution of patients and species distribution of Redondoviridae were obtained through statistical analysis. Multiplex PCR was used to detect other common respiratory pathogens in the positive samples of Redondoviridae in influenza like cases and SARI cases, and the pathogenicity of Redondoviridae was analyzed.Results:The positive rates of Redondoviridae in healthy people and acute respiratory infection cases were 20.48% (189/923) and 11.23% (43/390), respectively, with a statistically significant difference ( P<0.05). The positive rate of male was higher than that of female in the healthy population, and the positive rate of the elderly group was higher than that of the adult group and the underage group, with a statistically significant difference ( P<0.05). The positive rate of male patients with acute respiratory tract infection was higher than that of female patients, but there was no significant difference. The proportion of Vientovirus in the positive samples of Redondoviridae was higher than that of Brisavirus, and the difference was statistically significant ( P<0.05). Among the throat swabs of respiratory tract infection cases, 43 were positive for Redondoviridae, of whom 24 were not detected for other pathogens. Conclusions:Redondoviridae widely exists in healthy people of all age groups in Beijing, and is also found in acute respiratory infection cases. The positive rate of Redondoviridae is different in different ages and genders. Both Vientovirus and Brisavirus were detected, and the proportion of Vientovirus was significantly higher than Brisavirus.
4.Laboratory investigation for one gastroenteritis outbreak caused by Campylobacter jejuni
Lin ZOU ; Ying LI ; Guilan ZHOU ; Bojun ZHEN ; Ping ZHANG ; Nan JIANG ; Fengling ZHAO ; Jianguo WANG ; Hongjun LI ; Yanchun WANG ; Guofeng ZHANG ; Maojun ZHANG
Chinese Journal of Epidemiology 2020;41(10):1692-1696
Objective:To understand the etiological characteristics of an acute gastroenteritis outbreak.Methods:Real-time polymerase chain reaction (PCR) and bacteria cultures were performed for the samples, including stool samples from patients and cooks, environmental swabs, raw food material (chicken meat), collected during the outbreak. Pulsed-field gel electrophoresis, antibiotics susceptibility test and whole-genome sequencing were performed for the Campylobacter jejuni isolates. Results:Four stool samples from patients were positive for Campylobacter jejuni by real-time PCR, in which 1 Campylobacter jejuni strain was isolated from a case who had no antibiotic treatment. Twelve Campylobacter jejuni and 7 Campylobacter coli isolates were obtained from 4 raw chicken meat samples. The Campylobacter jejuni strain isolated from the case was resistant to nalidixic acid, ciprofloxacin, chloramphenicol, florfenicol and tetracycline. The MLST analysis with the whole-genome sequences confirmed that the Campylobacter jejuni isolate from the case belonged to ST10075. Antimicrobial resistance genes cmeABCR, tetO/M and blaOXA-61 were found in the genome of the isolate from the patient by the whole-genome sequencing. No mutation in 23S rRNA was found and the C257T mutation in gyrA was identified in this isolate. Conclusion:Laboratory analysis indicated that Campylobacter jejuni infection might be the major cause of this gastroenteritis outbreak.
5.Correlation between liver stiffness measured by shear-wave elasticity imaging and pathological grades and stages of chronic hepatitis B
Suya MA ; Guojun LI ; Yiqi YU ; Ping XU ; Lingfei ZHU ; Xiaohong XIE ; Mingyue WU ; Guilan ZOU ; Changshui LI ; Ming ZHAO
Chinese Journal of Infectious Diseases 2015;(9):513-517
Objective To investigate the correlation between Young′s elastic modulus (EI) using shear wave elastography (SWE) and liver pathology .Methods Liver biopsy was performed on 231 patients with chronic hepatitis B (CHB) under supersonic guidance ,and SWE with EI of liver was obtained concurrently .The correlation between measured liver stiffness and pathology was analyzed by using the liver pathology as golden standards .One‐way analysis of variance and Spearman rank correlation analysis were performed for the comparison between groups and correlation between two variables , respectively .Receiver operating characteristic (ROC) curve was used to explore the predictive value of shear modulus for the liver inflammation grades and fibrosis stages .Results The EI medians of different liver inflammation grades were 6 .78 kPa (G1) ,7 .30 kPa (G2) ,9 .93 kPa (G3) and 14 .93 kPa (G4) , respectively ,which were statistically different (H=55 .19 ,P<0 .01) .And EI medians of various fibrosis stages were 6 .62 kPa (S0 -S1) ,7 .15 kPa (S2) ,9 .78 kPa (S3) and 14 .62 kPa (S4) ,respectively , which were also significantly different (H=62 .14 ,P<0 .01) .EI was positively correlated with both liver inflammation grades (r=0 .454 6 ,P<0 .01) and liver fibrosis stages (r=0 .505 6 ,P<0 .01) .The areas under the ROC for G≥2 ,G≥3 and G=4 were 0 .68 (95% CI:0 .61 -0 .75) ,0 .77 (95% CI:0 .70 -0 .84) and 0 .85 (95% CI:0 .77-0 .92) ,respectively .The areas under the ROC for S≥2 ,S≥3 and S=4 w ere 0 .73 (95% C I:0 .66 -0 .79 ) ,0 .78 (95% C I:0 .72 -0 .85 ) and 0 .83 (95% C I:0 .75 -0 .91 ) , respectively .Conclusion The EI measured by SWE is correlated with liver pathology of CHB patients , which may be used to dynamically monitor the progress of liver fibrosis .
6.The assessment and analysis of nutritional status of 1200 inhospital patients
Ping SHEN ; Zhiying ZOU ; Nanhai PENG ; Guilan LU ; Jihong ZHONG ; Linfeng HU ; Yahong LIU ; Gui ZHANG
Parenteral & Enteral Nutrition 1997;0(01):-
Objective:To assess incidence of malnutrition and malnutrition risk of six department patients.Methods:The information of 1 200 patients were collected,200 in each of 6 departments in our hospital.Nutrition status was assessed according to Nutrition Risk Screening(NRS)published by ESPEN in 2001.Results:The incidence of malnutrition and malnutrition risk varied from 7.5% to 59% and 36% to 72% respectively in different department.Conclusion:The incidence of malnutrition is closely related to the kind and severity of the disease.It is nessissary to assess the nutrition status of high risk patients in time.NRS can be used simply and fastly in most inhospital patients.
7.Deep Fungal Infection in Patients with Hematopoietic Malignancies: A Clinical Analysis
Hongzhi XU ; Junhui ZOU ; Xin LIU ; Xianghua WANG ; Ying LI ; Guilan YU
Chinese Journal of Nosocomiology 1994;0(01):-
OBJECTIVE To investigate the manifestation,fungal spectrum,diagnosis,antifungal therapy and(outcome) of deep fungal infection(DFI) in patients with hematopoietic malignancies.METHODS Fifty-two(patients) of SFI admitted in Shandong Provincial Hospital during Oct 1998 to Sept 2004 were enrolled in this(investigation,) including 34 males and 18 females with mean age of 54 years old.Clinical data,such as manifestation,fungal(spectrum,) treatment and outcome,were observed prospectively and retrospectively.RESULTS Lower respiratory tract,gastrointestinal tract,urinary tract and blood were the main DFI infection sites by order of prevalence.The clinical manifestation was various among cases.Pathogen detection determined the subtypes of fungi were Candida albicans(57.14%),C.tropicalis(21.43%),yeast(47.14%),C.parapsilosis(7.14%),and Aspergillus((5.36%).) Nystatin,fluconazole,flucytosine,and(amphotericin) B were used alone or in(combination) to treat DFI.The rates of curing,improvement and death were 44.23%,23.08% and 32.69%,(respectively).(Among) 52 cases,25(48.08%) were occurred during Oct 2002 to Sept 2004,compared with 27((51.92%)) during Oct 1998 to Sept 2002,suggested the elevated incidence of DFI.CONCLUSIONS The incidence of DFI in patients with hematopoietic malignancies is increasing these years.The clinical manifestation of DFI may be nonspecific.It is critical to pay more attention to the fungal infection among the high-risk patients,therefore fungus detection from various(samples) should be recommended for the sake of early diagnosis of DFI. Though(C.albicans) remains the top in pathogen spectrum analysis,infection of other fungi tends to increase.The mortality of DFI is still very high thus more investigations about early diagnosis and treatment of DFI should be conducted.

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