Cargando…
The predicting roles of carcinoembryonic antigen and its underlying mechanism in the progression of coronavirus disease 2019
BACKGROUND: The coronavirus disease 2019 (COVID-19) has induced a worldwide epidemiological event with a high infectivity and mortality. However, the predicting biomarkers and their potential mechanism in the progression of COVID-19 are not well known. OBJECTIVE: The aim of this study is to identify...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254455/ https://www.ncbi.nlm.nih.gov/pubmed/34217339 http://dx.doi.org/10.1186/s13054-021-03661-y |
_version_ | 1783717733818433536 |
---|---|
author | Huang, Runzhi Meng, Tong Zha, Qiongfang Cheng, Kebin Zhou, Xin Zheng, Junhua Zhang, Dingyu Liu, Ruilin |
author_facet | Huang, Runzhi Meng, Tong Zha, Qiongfang Cheng, Kebin Zhou, Xin Zheng, Junhua Zhang, Dingyu Liu, Ruilin |
author_sort | Huang, Runzhi |
collection | PubMed |
description | BACKGROUND: The coronavirus disease 2019 (COVID-19) has induced a worldwide epidemiological event with a high infectivity and mortality. However, the predicting biomarkers and their potential mechanism in the progression of COVID-19 are not well known. OBJECTIVE: The aim of this study is to identify the candidate predictors of COVID-19 and investigate their underlying mechanism. METHODS: The retrospective study was conducted to identify the potential laboratory indicators with prognostic values of COVID-19 disease. Then, the prognostic nomogram was constructed to predict the overall survival of COVID-19 patients. Additionally, the scRNA-seq data of BALF and PBMCs from COVID-19 patients were downloaded to investigate the underlying mechanism of the most important prognostic indicators in lungs and peripherals, respectively. RESULTS: In total, 304 hospitalized adult COVID-19 patients in Wuhan Jinyintan Hospital were included in the retrospective study. CEA was the only laboratory indicator with significant difference in the univariate (P < 0.001) and multivariate analysis (P = 0.020). The scRNA-seq data of BALF and PBMCs from COVID-19 patients were downloaded to investigate the underlying mechanism of CEA in lungs and peripherals, respectively. The results revealed the potential roles of CEA were significantly distributed in type II pneumocytes of BALF and developing neutrophils of PBMCs, participating in the progression of COVID-19 by regulating the cell–cell communication. CONCLUSION: This study identifies the prognostic roles of CEA in COVID-19 patients and implies the potential roles of CEACAM8-CEACAM6 in the progression of COVID-19 by regulating the cell–cell communication of developing neutrophils and type II pneumocyte. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-021-03661-y. |
format | Online Article Text |
id | pubmed-8254455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82544552021-07-06 The predicting roles of carcinoembryonic antigen and its underlying mechanism in the progression of coronavirus disease 2019 Huang, Runzhi Meng, Tong Zha, Qiongfang Cheng, Kebin Zhou, Xin Zheng, Junhua Zhang, Dingyu Liu, Ruilin Crit Care Research BACKGROUND: The coronavirus disease 2019 (COVID-19) has induced a worldwide epidemiological event with a high infectivity and mortality. However, the predicting biomarkers and their potential mechanism in the progression of COVID-19 are not well known. OBJECTIVE: The aim of this study is to identify the candidate predictors of COVID-19 and investigate their underlying mechanism. METHODS: The retrospective study was conducted to identify the potential laboratory indicators with prognostic values of COVID-19 disease. Then, the prognostic nomogram was constructed to predict the overall survival of COVID-19 patients. Additionally, the scRNA-seq data of BALF and PBMCs from COVID-19 patients were downloaded to investigate the underlying mechanism of the most important prognostic indicators in lungs and peripherals, respectively. RESULTS: In total, 304 hospitalized adult COVID-19 patients in Wuhan Jinyintan Hospital were included in the retrospective study. CEA was the only laboratory indicator with significant difference in the univariate (P < 0.001) and multivariate analysis (P = 0.020). The scRNA-seq data of BALF and PBMCs from COVID-19 patients were downloaded to investigate the underlying mechanism of CEA in lungs and peripherals, respectively. The results revealed the potential roles of CEA were significantly distributed in type II pneumocytes of BALF and developing neutrophils of PBMCs, participating in the progression of COVID-19 by regulating the cell–cell communication. CONCLUSION: This study identifies the prognostic roles of CEA in COVID-19 patients and implies the potential roles of CEACAM8-CEACAM6 in the progression of COVID-19 by regulating the cell–cell communication of developing neutrophils and type II pneumocyte. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-021-03661-y. BioMed Central 2021-07-03 /pmc/articles/PMC8254455/ /pubmed/34217339 http://dx.doi.org/10.1186/s13054-021-03661-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Huang, Runzhi Meng, Tong Zha, Qiongfang Cheng, Kebin Zhou, Xin Zheng, Junhua Zhang, Dingyu Liu, Ruilin The predicting roles of carcinoembryonic antigen and its underlying mechanism in the progression of coronavirus disease 2019 |
title | The predicting roles of carcinoembryonic antigen and its underlying mechanism in the progression of coronavirus disease 2019 |
title_full | The predicting roles of carcinoembryonic antigen and its underlying mechanism in the progression of coronavirus disease 2019 |
title_fullStr | The predicting roles of carcinoembryonic antigen and its underlying mechanism in the progression of coronavirus disease 2019 |
title_full_unstemmed | The predicting roles of carcinoembryonic antigen and its underlying mechanism in the progression of coronavirus disease 2019 |
title_short | The predicting roles of carcinoembryonic antigen and its underlying mechanism in the progression of coronavirus disease 2019 |
title_sort | predicting roles of carcinoembryonic antigen and its underlying mechanism in the progression of coronavirus disease 2019 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254455/ https://www.ncbi.nlm.nih.gov/pubmed/34217339 http://dx.doi.org/10.1186/s13054-021-03661-y |
work_keys_str_mv | AT huangrunzhi thepredictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT mengtong thepredictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT zhaqiongfang thepredictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT chengkebin thepredictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT zhouxin thepredictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT zhengjunhua thepredictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT zhangdingyu thepredictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT liuruilin thepredictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT huangrunzhi predictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT mengtong predictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT zhaqiongfang predictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT chengkebin predictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT zhouxin predictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT zhengjunhua predictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT zhangdingyu predictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 AT liuruilin predictingrolesofcarcinoembryonicantigenanditsunderlyingmechanismintheprogressionofcoronavirusdisease2019 |