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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...

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Autores principales: Sun, Zhenlu, Zhang, Guifang, Li, Chunyan, Niu, Peihua, Li, Xia, Gao, Qiao, Guo, Kai, Zhang, Ruiqing, Wang, Ji, Ma, Xuejun
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
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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.
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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
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