Characteristics of human rhinovirus co-infections observed in 2019-nCoV positive patients in Hangzhou from 2021 to 2022
10.3760/cma.j.cn112866-20240126-00014
- VernacularTitle:2021—2022年杭州新型冠状病毒阳性病例中人鼻病毒的共感染特征分析
- Author:
Shi CHENG
1
;
Xinfen YU
;
Feifei CAO
;
Yinyan ZHOU
;
Jincao PAN
Author Information
1. 杭州市疾病预防控制中心（杭州市卫生监督所）卫生检验中心，杭州 310021
- Keywords:
2019 novel coronavirus;
Human rhinovirus;
Co-infection
- From:
Chinese Journal of Experimental and Clinical Virology
2024;38(3):299-303
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the co-infection and phylogenetic analysis of human rhinovirus (HRV) in 2019 novel coronavirus (2019-nCoV) positive samples.Methods:Ten common respiratory viruses, including HRV were detected by real-time fluorescence quantitative polymerase chain reaction (qPCR) in 7 213 samples of 2019-nCoV positive cases and the co-infection characteristics were analyzed. The VP4/VP2 gene fragment of HRV was amplified and sequenced.Phylogenetic trees were constructed.Results:HRV accounted for 1.34% of the 2019-nCoV positive samples (97/7 213), followed by common coronavirus (0.50%, 36/7 213). The co-infection rate of HRV in 2019-nCoV positive samples was significantly different from that of other viruses ( χ2=318.09, P<0.001). There was significant difference in HRV co-infection rate among different age groups ( χ2=36.77, P<0.001), the peak was in<18 years age group. The co-infection rate of HRV had no significant difference in different seasons. The VP4/VP2 gene fragments of 39 HRV strains (40.21%, 39/97) were successfully sequenced and made phylogenetic analysis. There were 10 strains of HRV-A, 9 strains of HRV-B and 20 strains of HRV-C. Seventeen subtypes were identified, of which B6 (66.67%, 6/9) and C15 (70%, 14/20) were the most prevalent and other subtypes were scattered. Conclusions:The co-infection rate of HRV in patients with 2019-nCoV infection was the highest. The highest co-infection rate was in<18 years age group. Group A, B, and C of HRV were found in 2019-nCoV positive samples, and serotypes present diversity.
