Cargando…
Rotavirus Infection and Genotyping in Yantai, Shandong Province, 2017–2019
Purpose: Rotavirus (RV) ranked first among infectious diarrhea-causing pathogens in Yantai from 2017 to 2019. This study investigated the seroserotypes of RV in Yantai, Shandong, from 2017 to 2019 to identify the dominant serotypes and explore the epidemic pattern, aiming to effectively reduce the i...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963496/ https://www.ncbi.nlm.nih.gov/pubmed/36828517 http://dx.doi.org/10.3390/tropicalmed8020101 |
_version_ | 1784896266317070336 |
---|---|
author | Sun, Zhenlu Zhang, Guifang Li, Chunyan Niu, Peihua Li, Xia Gao, Qiao Guo, Kai Zhang, Ruiqing Wang, Ji Ma, Xuejun |
author_facet | Sun, Zhenlu Zhang, Guifang Li, Chunyan Niu, Peihua Li, Xia Gao, Qiao Guo, Kai Zhang, Ruiqing Wang, Ji Ma, Xuejun |
author_sort | Sun, Zhenlu |
collection | PubMed |
description | Purpose: Rotavirus (RV) ranked first among infectious diarrhea-causing pathogens in Yantai from 2017 to 2019. This study investigated the seroserotypes of RV in Yantai, Shandong, from 2017 to 2019 to identify the dominant serotypes and explore the epidemic pattern, aiming to effectively reduce the infection rate, better guide vaccination, and help in epidemiological prevention and control. Methods: A total of 2227 human diarrhea samples were collected from 2017 to 2019 in Yantai. The VP7 (G serotype) and VP4 (P serotype) genes of 467 RV-positive samples were amplified using two-round nested reverse transcription–polymerase chain reaction for G/P genotyping. Results: The genotyping results of RV in Yantai from 2017 to 2019 revealed that G9 was the dominant serotype for all G serotypes, P[8] was the dominant serotype for all P serotypes, and G9P[8] was the dominant serotype for all G/P combinations. G9 serotype accounted for 60.84%, 95.65%, and 83.76% of the total RV samples collected in 2017, 2018, and 2019, respectively. P[8] accounted for 75.52%, 94.69%, and 88.89% of the RV-positive samples collected in 2017, 2018, and 2019, respectively. G9P[8] accounted for 60.84%, 94.69%, and 83.76% of the total RV samples collected in 2017, 2018, and 2019, respectively. Of the total 467 samples from 2017 to 2019, G2P[4] accounted for 3.64% (17/467), G3P[8] for 1.28% (6/467), and G1P[8] for 0.86% (4/467). Conclusion: This study revealed the epidemiological characteristics of RV infection and the development pattern of dominant serotypes in Yantai in recent years, guiding the selection of RV vaccines. The prioritization of vaccines containing G9 serotype for infants in Yantai in recent years is recommended. |
format | Online Article Text |
id | pubmed-9963496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99634962023-02-26 Rotavirus Infection and Genotyping in Yantai, Shandong Province, 2017–2019 Sun, Zhenlu Zhang, Guifang Li, Chunyan Niu, Peihua Li, Xia Gao, Qiao Guo, Kai Zhang, Ruiqing Wang, Ji Ma, Xuejun Trop Med Infect Dis Article Purpose: Rotavirus (RV) ranked first among infectious diarrhea-causing pathogens in Yantai from 2017 to 2019. This study investigated the seroserotypes of RV in Yantai, Shandong, from 2017 to 2019 to identify the dominant serotypes and explore the epidemic pattern, aiming to effectively reduce the infection rate, better guide vaccination, and help in epidemiological prevention and control. Methods: A total of 2227 human diarrhea samples were collected from 2017 to 2019 in Yantai. The VP7 (G serotype) and VP4 (P serotype) genes of 467 RV-positive samples were amplified using two-round nested reverse transcription–polymerase chain reaction for G/P genotyping. Results: The genotyping results of RV in Yantai from 2017 to 2019 revealed that G9 was the dominant serotype for all G serotypes, P[8] was the dominant serotype for all P serotypes, and G9P[8] was the dominant serotype for all G/P combinations. G9 serotype accounted for 60.84%, 95.65%, and 83.76% of the total RV samples collected in 2017, 2018, and 2019, respectively. P[8] accounted for 75.52%, 94.69%, and 88.89% of the RV-positive samples collected in 2017, 2018, and 2019, respectively. G9P[8] accounted for 60.84%, 94.69%, and 83.76% of the total RV samples collected in 2017, 2018, and 2019, respectively. Of the total 467 samples from 2017 to 2019, G2P[4] accounted for 3.64% (17/467), G3P[8] for 1.28% (6/467), and G1P[8] for 0.86% (4/467). Conclusion: This study revealed the epidemiological characteristics of RV infection and the development pattern of dominant serotypes in Yantai in recent years, guiding the selection of RV vaccines. The prioritization of vaccines containing G9 serotype for infants in Yantai in recent years is recommended. MDPI 2023-02-03 /pmc/articles/PMC9963496/ /pubmed/36828517 http://dx.doi.org/10.3390/tropicalmed8020101 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sun, Zhenlu Zhang, Guifang Li, Chunyan Niu, Peihua Li, Xia Gao, Qiao Guo, Kai Zhang, Ruiqing Wang, Ji Ma, Xuejun Rotavirus Infection and Genotyping in Yantai, Shandong Province, 2017–2019 |
title | Rotavirus Infection and Genotyping in Yantai, Shandong Province, 2017–2019 |
title_full | Rotavirus Infection and Genotyping in Yantai, Shandong Province, 2017–2019 |
title_fullStr | Rotavirus Infection and Genotyping in Yantai, Shandong Province, 2017–2019 |
title_full_unstemmed | Rotavirus Infection and Genotyping in Yantai, Shandong Province, 2017–2019 |
title_short | Rotavirus Infection and Genotyping in Yantai, Shandong Province, 2017–2019 |
title_sort | rotavirus infection and genotyping in yantai, shandong province, 2017–2019 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963496/ https://www.ncbi.nlm.nih.gov/pubmed/36828517 http://dx.doi.org/10.3390/tropicalmed8020101 |
work_keys_str_mv | AT sunzhenlu rotavirusinfectionandgenotypinginyantaishandongprovince20172019 AT zhangguifang rotavirusinfectionandgenotypinginyantaishandongprovince20172019 AT lichunyan rotavirusinfectionandgenotypinginyantaishandongprovince20172019 AT niupeihua rotavirusinfectionandgenotypinginyantaishandongprovince20172019 AT lixia rotavirusinfectionandgenotypinginyantaishandongprovince20172019 AT gaoqiao rotavirusinfectionandgenotypinginyantaishandongprovince20172019 AT guokai rotavirusinfectionandgenotypinginyantaishandongprovince20172019 AT zhangruiqing rotavirusinfectionandgenotypinginyantaishandongprovince20172019 AT wangji rotavirusinfectionandgenotypinginyantaishandongprovince20172019 AT maxuejun rotavirusinfectionandgenotypinginyantaishandongprovince20172019 |