Cargando…

The Metabolic Changes and Immune Profiles in Patients With COVID-19

To explore the metabolic changes and immune profiles in patients with COVID-19, we analyzed the data of patients with mild and severe COVID-19 as well as young children with COVID-19. Of the leukocytes, 47% (IQR, 33–59) were lymphocytes [2.5 × 10(9)/L (IQR, 2.2–3.3)], and monocytes were 0.51 × 10(9)...

Descripción completa

Detalles Bibliográficos
Autores principales: He, Bing, Wang, Jun, Wang, Yudie, Zhao, Juan, Huang, Juan, Tian, Yu, Yang, Cheng, Zhang, Heng, Zhang, Mingxia, Gu, Lixing, Zhou, Xiaocui, Zhou, Jingjiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485144/
https://www.ncbi.nlm.nih.gov/pubmed/32983157
http://dx.doi.org/10.3389/fimmu.2020.02075
_version_ 1783581097567715328
author He, Bing
Wang, Jun
Wang, Yudie
Zhao, Juan
Huang, Juan
Tian, Yu
Yang, Cheng
Zhang, Heng
Zhang, Mingxia
Gu, Lixing
Zhou, Xiaocui
Zhou, Jingjiao
author_facet He, Bing
Wang, Jun
Wang, Yudie
Zhao, Juan
Huang, Juan
Tian, Yu
Yang, Cheng
Zhang, Heng
Zhang, Mingxia
Gu, Lixing
Zhou, Xiaocui
Zhou, Jingjiao
author_sort He, Bing
collection PubMed
description To explore the metabolic changes and immune profiles in patients with COVID-19, we analyzed the data of patients with mild and severe COVID-19 as well as young children with COVID-19. Of the leukocytes, 47% (IQR, 33–59) were lymphocytes [2.5 × 10(9)/L (IQR, 2.2–3.3)], and monocytes were 0.51 × 10(9)/L (IQR, 0.45–0.57) in young children with COVID-19. In 32 mild COVID-19 patients, circulating monocytes were 0.45 × 10(9)/L (IQR, 0.36–0.64). Twenty-one severe patients had low PO(2) [57 mmHg (IQR, 50–73)] and SO(2) [90% (IQR, 86–93)] and high lactate dehydrogenase [580 U/L (IQR, 447–696)], cardiac troponin I [0.07 ng/mL (IQR, 0.02–0.30)], and pro-BNP [498 pg/mL (IQR, 241–1,726)]. Serum D-dimer and FDP were 9.89 mg/L (IQR, 3.62–22.85) and 32.7 mg/L (IQR, 12.8–81.9), and a large number of RBC (46/μL (IQR, 4–242) was presented in urine, a cue of disseminated intravascular coagulation (DIC) in severe patients. Three patients had comorbidity with diabetes, and 18 patients without diabetes also presented high blood glucose [7.4 mmol/L (IQR, 5.9–10.1)]. Fifteen of 21 (71%) severe cases had urine glucose +, and nine of 21 (43%) had urine ketone body +. The increased glucose was partially caused by reduced glucose consumption of cells. Severe cases had extraordinarily low serum uric acid [176 μmol/L (IQR, 131–256)]. In the late stage of COVID-19, severe cases had extremely low CD4(+) T cells and CD8(+) T cells, but unusually high neutrophils [6.5 × 10(9)/L (IQR, 4.8–9.6)], procalcitonin [0.27 ng/mL (IQR, 0.14–1.94)], C-reactive protein [66 mg/L (IQR, 25–114)] and an extremely high level of interleukin-6. Four of 21 (19%) severe cases had co-infection with fungi, and two of 21 (9%) severe cases had bacterial infection. Our findings suggest that, severe cases had acute respiratory distress syndrome (ARDS) I–III, and metabolic disorders of glucose, lipid, uric acid, etc., even multiple organ dysfunction (MODS) and DIC. Increased neutrophils and severe inflammatory responses were involved in ARDS, MODS, and DIC. With the dramatical decrease of T-lymphocytes, severe cases were susceptible to co-infect with bacteria and fungi in the late stage of COVID-19. In young children, extremely high lymphocytes and monocytes might be associated with the low morbidity of COVID-19. The significantly increased monocytes might play an important role in the recovery of patients with mild COVID-19.
format Online
Article
Text
id pubmed-7485144
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-74851442020-09-24 The Metabolic Changes and Immune Profiles in Patients With COVID-19 He, Bing Wang, Jun Wang, Yudie Zhao, Juan Huang, Juan Tian, Yu Yang, Cheng Zhang, Heng Zhang, Mingxia Gu, Lixing Zhou, Xiaocui Zhou, Jingjiao Front Immunol Immunology To explore the metabolic changes and immune profiles in patients with COVID-19, we analyzed the data of patients with mild and severe COVID-19 as well as young children with COVID-19. Of the leukocytes, 47% (IQR, 33–59) were lymphocytes [2.5 × 10(9)/L (IQR, 2.2–3.3)], and monocytes were 0.51 × 10(9)/L (IQR, 0.45–0.57) in young children with COVID-19. In 32 mild COVID-19 patients, circulating monocytes were 0.45 × 10(9)/L (IQR, 0.36–0.64). Twenty-one severe patients had low PO(2) [57 mmHg (IQR, 50–73)] and SO(2) [90% (IQR, 86–93)] and high lactate dehydrogenase [580 U/L (IQR, 447–696)], cardiac troponin I [0.07 ng/mL (IQR, 0.02–0.30)], and pro-BNP [498 pg/mL (IQR, 241–1,726)]. Serum D-dimer and FDP were 9.89 mg/L (IQR, 3.62–22.85) and 32.7 mg/L (IQR, 12.8–81.9), and a large number of RBC (46/μL (IQR, 4–242) was presented in urine, a cue of disseminated intravascular coagulation (DIC) in severe patients. Three patients had comorbidity with diabetes, and 18 patients without diabetes also presented high blood glucose [7.4 mmol/L (IQR, 5.9–10.1)]. Fifteen of 21 (71%) severe cases had urine glucose +, and nine of 21 (43%) had urine ketone body +. The increased glucose was partially caused by reduced glucose consumption of cells. Severe cases had extraordinarily low serum uric acid [176 μmol/L (IQR, 131–256)]. In the late stage of COVID-19, severe cases had extremely low CD4(+) T cells and CD8(+) T cells, but unusually high neutrophils [6.5 × 10(9)/L (IQR, 4.8–9.6)], procalcitonin [0.27 ng/mL (IQR, 0.14–1.94)], C-reactive protein [66 mg/L (IQR, 25–114)] and an extremely high level of interleukin-6. Four of 21 (19%) severe cases had co-infection with fungi, and two of 21 (9%) severe cases had bacterial infection. Our findings suggest that, severe cases had acute respiratory distress syndrome (ARDS) I–III, and metabolic disorders of glucose, lipid, uric acid, etc., even multiple organ dysfunction (MODS) and DIC. Increased neutrophils and severe inflammatory responses were involved in ARDS, MODS, and DIC. With the dramatical decrease of T-lymphocytes, severe cases were susceptible to co-infect with bacteria and fungi in the late stage of COVID-19. In young children, extremely high lymphocytes and monocytes might be associated with the low morbidity of COVID-19. The significantly increased monocytes might play an important role in the recovery of patients with mild COVID-19. Frontiers Media S.A. 2020-08-28 /pmc/articles/PMC7485144/ /pubmed/32983157 http://dx.doi.org/10.3389/fimmu.2020.02075 Text en Copyright © 2020 He, Wang, Wang, Zhao, Huang, Tian, Yang, Zhang, Zhang, Gu, Zhou and Zhou. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
He, Bing
Wang, Jun
Wang, Yudie
Zhao, Juan
Huang, Juan
Tian, Yu
Yang, Cheng
Zhang, Heng
Zhang, Mingxia
Gu, Lixing
Zhou, Xiaocui
Zhou, Jingjiao
The Metabolic Changes and Immune Profiles in Patients With COVID-19
title The Metabolic Changes and Immune Profiles in Patients With COVID-19
title_full The Metabolic Changes and Immune Profiles in Patients With COVID-19
title_fullStr The Metabolic Changes and Immune Profiles in Patients With COVID-19
title_full_unstemmed The Metabolic Changes and Immune Profiles in Patients With COVID-19
title_short The Metabolic Changes and Immune Profiles in Patients With COVID-19
title_sort metabolic changes and immune profiles in patients with covid-19
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485144/
https://www.ncbi.nlm.nih.gov/pubmed/32983157
http://dx.doi.org/10.3389/fimmu.2020.02075
work_keys_str_mv AT hebing themetabolicchangesandimmuneprofilesinpatientswithcovid19
AT wangjun themetabolicchangesandimmuneprofilesinpatientswithcovid19
AT wangyudie themetabolicchangesandimmuneprofilesinpatientswithcovid19
AT zhaojuan themetabolicchangesandimmuneprofilesinpatientswithcovid19
AT huangjuan themetabolicchangesandimmuneprofilesinpatientswithcovid19
AT tianyu themetabolicchangesandimmuneprofilesinpatientswithcovid19
AT yangcheng themetabolicchangesandimmuneprofilesinpatientswithcovid19
AT zhangheng themetabolicchangesandimmuneprofilesinpatientswithcovid19
AT zhangmingxia themetabolicchangesandimmuneprofilesinpatientswithcovid19
AT gulixing themetabolicchangesandimmuneprofilesinpatientswithcovid19
AT zhouxiaocui themetabolicchangesandimmuneprofilesinpatientswithcovid19
AT zhoujingjiao themetabolicchangesandimmuneprofilesinpatientswithcovid19
AT hebing metabolicchangesandimmuneprofilesinpatientswithcovid19
AT wangjun metabolicchangesandimmuneprofilesinpatientswithcovid19
AT wangyudie metabolicchangesandimmuneprofilesinpatientswithcovid19
AT zhaojuan metabolicchangesandimmuneprofilesinpatientswithcovid19
AT huangjuan metabolicchangesandimmuneprofilesinpatientswithcovid19
AT tianyu metabolicchangesandimmuneprofilesinpatientswithcovid19
AT yangcheng metabolicchangesandimmuneprofilesinpatientswithcovid19
AT zhangheng metabolicchangesandimmuneprofilesinpatientswithcovid19
AT zhangmingxia metabolicchangesandimmuneprofilesinpatientswithcovid19
AT gulixing metabolicchangesandimmuneprofilesinpatientswithcovid19
AT zhouxiaocui metabolicchangesandimmuneprofilesinpatientswithcovid19
AT zhoujingjiao metabolicchangesandimmuneprofilesinpatientswithcovid19