Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Mar 9;11(6):1494.
doi: 10.3390/jcm11061494.

Activation of the Carboxypeptidase U (CPU, TAFIa, CPB2) System in Patients with SARS-CoV-2 Infection Could Contribute to COVID-19 Hypofibrinolytic State and Disease Severity Prognosis

Affiliations

Activation of the Carboxypeptidase U (CPU, TAFIa, CPB2) System in Patients with SARS-CoV-2 Infection Could Contribute to COVID-19 Hypofibrinolytic State and Disease Severity Prognosis

Karen Claesen et al. J Clin Med. .

Abstract

Coronavirus disease 2019 (COVID-19) is a viral lower respiratory tract infection caused by the highly transmissible and pathogenic SARS-CoV-2 (severe acute respiratory-syndrome coronavirus-2). Besides respiratory failure, systemic thromboembolic complications are frequent in COVID-19 patients and suggested to be the result of a dysregulation of the hemostatic balance. Although several markers of coagulation and fibrinolysis have been studied extensively, little is known about the effect of SARS-CoV-2 infection on the potent antifibrinolytic enzyme carboxypeptidase U (CPU). Blood was collected longitudinally from 56 hospitalized COVID-19 patients and 32 healthy controls. Procarboxypeptidase U (proCPU) levels and total active and inactivated CPU (CPU+CPUi) antigen levels were measured. At study inclusion (shortly after hospital admission), proCPU levels were significantly lower and CPU+CPUi antigen levels significantly higher in COVID-19 patients compared to controls. Both proCPU and CPU+CPUi antigen levels showed a subsequent progressive increase in these patients. Hereafter, proCPU levels decreased and patients were, at discharge, comparable to the controls. CPU+CPUi antigen levels at discharge were still higher compared to controls. Baseline CPU+CPUi antigen levels (shortly after hospital admission) correlated with disease severity and the duration of hospitalization. In conclusion, CPU generation with concomitant proCPU consumption during early SARS-CoV-2 infection will (at least partly) contribute to the hypofibrinolytic state observed in COVID-19 patients, thus enlarging their risk for thrombosis. Moreover, given the association between CPU+CPUi antigen levels and both disease severity and duration of hospitalization, this parameter may be a potential biomarker with prognostic value in SARS-CoV-2 infection.

Keywords: COVID-19; carboxypeptidase B2; carboxypeptidase U; coronavirus; thrombin-activatable fibrinolysis inhibitor.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Figures

Figure 1
Figure 1
Plasma procarboxypeptidase U (proCPU) levels (A) and total active and inactivated carboxypeptidase U (CPU+CPUi) antigen levels (B) in COVID-19 exposed (N = 14) and COVID-19 non-exposed (N = 18) controls. COVID-19 exposed controls are individuals that previously tested positive for SARS-CoV-2 (PCR-confirmed SARS-CoV-2 infection (at least 2 months before inclusion) or a positive serological test result), while COVID-19 non-exposed controls are individuals without any evidence of SARS-CoV-2 exposure. Data are presented as mean ± SD. Mann–Whitney U test; ns = not significant.
Figure 2
Figure 2
(A,B) Time course of plasma procarboxypeptidase U (proCPU) levels (A) and total active and inactivated carboxypeptidase U (CPU+CPUi) antigen levels (B) in hospitalized COVID-19 patients (N = 12–56) at inclusion (ranging from 1–5 days after hospital admission), 1 week after inclusion (ranging from 5–8 days after inclusion), 2 weeks after inclusion (ranging from 12–15 days after inclusion), and at discharge (ranging from 17–61 days after inclusion), and in clinically healthy controls at inclusion and 28 days later (N = 32). Data are presented as mean ± SD. Mann–Whitney U test (unpaired data); ## p < 0.01; and ### p < 0.001. Wilcoxon Matched-Pairs Signed Rank test (paired data); * p < 0.05; ** p < 0.01. The horizontal dotted line represents the mean proCPU level or CPU+CPUi antigen level of the healthy controls with the corresponding confidence interval (2*SD; grey area). (C,D) Time course of plasma proCPU levels (C) and CPU+CPUi antigen levels (D) at inclusion (ranging from 1–5 days after hospital admission), 1 week after inclusion (ranging from 5–8 days after inclusion), 2 weeks after inclusion (ranging from 12–15 days after inclusion), and at discharge (ranging from 17 to 61 days after inclusion) in COVID-19 patients with critical disease (right; N = 12) versus non-critical disease (left; N = 44). Data are presented as mean ± SD. The horizontal dotted line represents the mean proCPU level or CPU+CPUi antigen level of the healthy controls with the corresponding confidence interval (2*SD; grey area). Mann–Whitney U test (unpaired data); # p < 0.05; ## p < 0.01; and ### p < 0.001. Wilcoxon Matched-Pairs Signed Rank test (paired data); * p < 0.05; ** p < 0.01; *** p < 0.001. (E,F) Individual proCPU (E) and CPU+CPUi antigen level (F) profiles of six critically ill patients (samples at ≥4 time points available). The horizontal dotted line represents the mean proCPU level or CPU+CPUi antigen level of the healthy controls with the corresponding confidence interval (2*SD; grey area).
Figure 3
Figure 3
Relationship between the highest recorded CRP levels and corresponding proCPU levels (A) or CPU+CPUi antigen levels (B). For the majority of the patients, the highest CRP value was measured within one week after enrolment in the study. Spearman correlation coefficient r was determined for both correlations. In case of a significant correlation (p > 0.05), linear regression analysis was performed, and the best-fit line (solid line) with 95% confidence bands was plotted (dashed lines).
Figure 4
Figure 4
Correlation between the duration of hospitalization and both baseline (inclusion time point shortly after hospital admission) procarboxypeptidase U (proCPU) (A) and total active and inactivated carboxypeptidase U (CPU+CPUi) antigen levels (B) in hospitalized COVID-19 patients (N = 56). Spearman correlation coefficient r was determined. For statistically significant correlations (p < 0.05), linear regression analysis was performed and the best-fit line (solid line) with 95% confidence bands was plotted (dashed lines). Baseline proCPU levels (C) and baseline CPU+CPUi antigen levels (D) of hospitalized COVID-19 patients grouped by disease severity (WHO COVID-19 disease severity categorization): moderate (N = 39), severe (N = 5), and critical (N = 12). Mann–Whitney U test (unpaired data); * p < 0.05; ** p < 0.01.

Similar articles

Cited by

References

    1. World Health Organization (WHO) Coronavirus (COVID-19) [(accessed on 27 December 2021)]. Available online: https://www.who.int/health-topics/coronavirus#tab=tab_1.
    1. Wiersinga W., Rhodes A., Cheng A., Peacock S., Prescott H. Pathophysiology, Transmission, Diagnosis, and Treatment of Coronavirus Disease 2019 (COVID-19): A Review. JAMA. 2020;324:782–793. doi: 10.1001/jama.2020.12839. - DOI - PubMed
    1. Huang C., Wang Y., Li X., Ren L., Zhao J., Hu Y., Zhang L., Fan G., Xu J., Gu X., et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497–506. doi: 10.1016/S0140-6736(20)30183-5. - DOI - PMC - PubMed
    1. Wu Z., McGoogan J. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020;323:1239–1242. doi: 10.1001/jama.2020.2648. - DOI - PubMed
    1. Chen N., Zhou M., Dong X., Qu J., Gong F., Han Y., Qiu Y., Wang J., Liu Y., Wei Y., et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: A descriptive study. Lancet. 2020;395:507–513. doi: 10.1016/S0140-6736(20)30211-7. - DOI - PMC - PubMed

LinkOut - more resources