Cargando…
Dynamic Changes of ORF1ab and N Gene Ct Values in COVID-19 Omicron Inpatients of Different Age Groups — Beijing Municipality, China, November–December 2022
INTRODUCTION: In November 2021, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant was identified as the variant of concern and has since spread globally, replacing other cocirculating variants. To better understand the dynamic changes in viral load over time and the na...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061738/ https://www.ncbi.nlm.nih.gov/pubmed/37008671 http://dx.doi.org/10.46234/ccdcw2023.030 |
_version_ | 1785017353402056704 |
---|---|
author | Zhang, Qing Feng, Zhaomin Hao, Yiwei Wei, Lirong Wang, Aibin Han, Zhixing Tian, Meimei Sun, Sheng Li, Xin'gang Xue, Tianjiao Kong, Xiangjing Li, Baoliang Kou, Cheng Wang, Quanyi Huo, Da Wang, Linghang |
author_facet | Zhang, Qing Feng, Zhaomin Hao, Yiwei Wei, Lirong Wang, Aibin Han, Zhixing Tian, Meimei Sun, Sheng Li, Xin'gang Xue, Tianjiao Kong, Xiangjing Li, Baoliang Kou, Cheng Wang, Quanyi Huo, Da Wang, Linghang |
author_sort | Zhang, Qing |
collection | PubMed |
description | INTRODUCTION: In November 2021, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant was identified as the variant of concern and has since spread globally, replacing other cocirculating variants. To better understand the dynamic changes in viral load over time and the natural history of the virus infection, we analyzed the expression of the open reading frames 1ab (ORF1ab) and nucleocapsid (N) genes in patients infected with Omicron. METHODS: We included patients initially admitted to the hospital for SARS-CoV-2 infection between November 5 and December 25, 2022. We collected daily oropharyngeal swabs for quantitative reverse transcriptase-polymerase chain reaction tests using commercial kits. We depicted the cycle threshold (Ct) values for amplification of ORF1ab and N genes from individual patients in age-specific groups in a time series. RESULTS: A total of 480 inpatients were included in the study, with a median age of 59 years (interquartile range, 42 to 78; range, 16 to 106). In the <45-year-old age group, the Ct values for ORF1ab and N gene amplification remained below 35 for 9.0 and 11.5 days, respectively. In the ≥80-year-old age group, the Ct values for ORF1ab and N genes stayed below 35 for 11.5 and 15.0 days, respectively, which was the longest among all age groups. The Ct values for N gene amplification took longer to rise above 35 than those for ORF1ab gene amplification. CONCLUSION: The time to test negative varied among different age groups, with viral nucleic acid shedding taking longer in older age groups compared to younger age groups. As a result, the time to resolution of Omicron infection increased with increasing age. |
format | Online Article Text |
id | pubmed-10061738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-100617382023-03-31 Dynamic Changes of ORF1ab and N Gene Ct Values in COVID-19 Omicron Inpatients of Different Age Groups — Beijing Municipality, China, November–December 2022 Zhang, Qing Feng, Zhaomin Hao, Yiwei Wei, Lirong Wang, Aibin Han, Zhixing Tian, Meimei Sun, Sheng Li, Xin'gang Xue, Tianjiao Kong, Xiangjing Li, Baoliang Kou, Cheng Wang, Quanyi Huo, Da Wang, Linghang China CDC Wkly Vital Surveillances INTRODUCTION: In November 2021, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant was identified as the variant of concern and has since spread globally, replacing other cocirculating variants. To better understand the dynamic changes in viral load over time and the natural history of the virus infection, we analyzed the expression of the open reading frames 1ab (ORF1ab) and nucleocapsid (N) genes in patients infected with Omicron. METHODS: We included patients initially admitted to the hospital for SARS-CoV-2 infection between November 5 and December 25, 2022. We collected daily oropharyngeal swabs for quantitative reverse transcriptase-polymerase chain reaction tests using commercial kits. We depicted the cycle threshold (Ct) values for amplification of ORF1ab and N genes from individual patients in age-specific groups in a time series. RESULTS: A total of 480 inpatients were included in the study, with a median age of 59 years (interquartile range, 42 to 78; range, 16 to 106). In the <45-year-old age group, the Ct values for ORF1ab and N gene amplification remained below 35 for 9.0 and 11.5 days, respectively. In the ≥80-year-old age group, the Ct values for ORF1ab and N genes stayed below 35 for 11.5 and 15.0 days, respectively, which was the longest among all age groups. The Ct values for N gene amplification took longer to rise above 35 than those for ORF1ab gene amplification. CONCLUSION: The time to test negative varied among different age groups, with viral nucleic acid shedding taking longer in older age groups compared to younger age groups. As a result, the time to resolution of Omicron infection increased with increasing age. Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2023-02-24 /pmc/articles/PMC10061738/ /pubmed/37008671 http://dx.doi.org/10.46234/ccdcw2023.030 Text en Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2023 https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ (https://creativecommons.org/licenses/by-nc-sa/4.0/) |
spellingShingle | Vital Surveillances Zhang, Qing Feng, Zhaomin Hao, Yiwei Wei, Lirong Wang, Aibin Han, Zhixing Tian, Meimei Sun, Sheng Li, Xin'gang Xue, Tianjiao Kong, Xiangjing Li, Baoliang Kou, Cheng Wang, Quanyi Huo, Da Wang, Linghang Dynamic Changes of ORF1ab and N Gene Ct Values in COVID-19 Omicron Inpatients of Different Age Groups — Beijing Municipality, China, November–December 2022 |
title | Dynamic Changes of ORF1ab and N Gene Ct Values in COVID-19 Omicron Inpatients of Different Age Groups — Beijing Municipality, China, November–December 2022 |
title_full | Dynamic Changes of ORF1ab and N Gene Ct Values in COVID-19 Omicron Inpatients of Different Age Groups — Beijing Municipality, China, November–December 2022 |
title_fullStr | Dynamic Changes of ORF1ab and N Gene Ct Values in COVID-19 Omicron Inpatients of Different Age Groups — Beijing Municipality, China, November–December 2022 |
title_full_unstemmed | Dynamic Changes of ORF1ab and N Gene Ct Values in COVID-19 Omicron Inpatients of Different Age Groups — Beijing Municipality, China, November–December 2022 |
title_short | Dynamic Changes of ORF1ab and N Gene Ct Values in COVID-19 Omicron Inpatients of Different Age Groups — Beijing Municipality, China, November–December 2022 |
title_sort | dynamic changes of orf1ab and n gene ct values in covid-19 omicron inpatients of different age groups — beijing municipality, china, november–december 2022 |
topic | Vital Surveillances |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061738/ https://www.ncbi.nlm.nih.gov/pubmed/37008671 http://dx.doi.org/10.46234/ccdcw2023.030 |
work_keys_str_mv | AT zhangqing dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT fengzhaomin dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT haoyiwei dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT weilirong dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT wangaibin dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT hanzhixing dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT tianmeimei dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT sunsheng dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT lixingang dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT xuetianjiao dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT kongxiangjing dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT libaoliang dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT koucheng dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT wangquanyi dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT huoda dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 AT wanglinghang dynamicchangesoforf1abandngenectvaluesincovid19omicroninpatientsofdifferentagegroupsbeijingmunicipalitychinanovemberdecember2022 |