Literature DB >> 33583574

ADAMTS 13 deficiency is associated with abnormal distribution of von Willebrand factor multimers in patients with COVID-19.

Tiffany Pascreau1, Sara Zia-Chahabi2, Benjamin Zuber3, Colas Tcherakian4, Eric Farfour2, Marc Vasse5.   

Abstract

Entities:  

Year:  2021        PMID: 33583574      PMCID: PMC7871804          DOI: 10.1016/j.thromres.2021.02.008

Source DB:  PubMed          Journal:  Thromb Res        ISSN: 0049-3848            Impact factor:   3.944


× No keyword cloud information.
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), may trigger cytokine storm which is responsible for a highly pro inflammatory state in severe cases [1]. COVID-19 is also associated with an endotheliopathy characterized by the increase of von Willebrand factor (VWF) [2] and soluble endothelial markers of activation in plasma from patients with COVID-19 [3,4]. VWF is released from endothelial cells as ultra large VWF multimers (ULVWF) highly adhesive to platelets. To regulate this adhesive function, the metalloprotease with thrombospondin type 1 repeats, member 13 (ADAMTS 13) cleaves ULVWF in the circulation. The high increase in VWF activity and antigen levels reported in patients with COVID-19 is quite similar to those observed in septic patients [5]. In the latter, ADAMTS 13 deficiency has been reported as a prognostic factor for mortality. A moderate decrease of the activity of ADAMTS 13 was reported in patients with severe COVID-19 in the absence of detectable anti-ADAMTS 13 antibodies [6,7]. However, the antigen level of ADAMTS 13 has not been measured in these series. We aimed to measure the antigen level of ADAMTS 13 to appreciate the nature of the deficiency (quantitative or functional). Then, as the proinflammatory cytokine IL-6, greatly increased in COVID-19, may inhibit the proteolytic activity of ADAMTS 13 [8], we aimed to assess the impact of ADAMTS 13 deficiency on the von Willebrand factor multimeric pattern in patients with COVID-19. We studied 70 patients with COVID-19 pneumonia confirmed by RT-PCR on a nasopharyngeal swab. We measured ADAMTS 13 antigen (Quantikine ELISA human ADAMTS 13, Bio-Techne, France), and plasma VWF activity and antigen (HemosIL Von Willebrand factor activity and antigen assays, Instrumentation Laboratory, France). VWF multimer analysis was performed with Hydragel 5 von Willebrand multimers kit (Sebia, France) using the Sebia Hydrasis 2 instrument. According to the preanalytical recommendations of the Groupe d'étude sur l'hémostase et la thrombose (GEHT), all the assays were performed on samples which have undergone one freeze-thaw cycle except for the determination of the ADAMTS 13 antigen level (two cycles). The blood samples were obtained the day of the admission of patients in our hospital. Patients were categorized into three groups according to whether they had been admitted to an intensive care unit (ICU) or a non-ICU department, or they went home. The study was approved by the local ethics committee of the Foch Hospital (reference 20-07-15). We observed a marked increase in VWF activity and antigen in patients with COVID-19 hospitalized in non-ICU or ICU department compared to the control group composed of healthy hospital workers (Table 1 ). ADAMTS 13 antigen concentrations were significantly lower in patients with COVID-19 hospitalized in non-ICU or ICU department than in controls (Fig. 1A). The ADAMTS 13 antigen deficiency was clearly associated with VWF release as suggested by the significant negative correlation between antigen concentration of ADAMTS 13 and VWF antigen (Spearman r = −0.4846, p < 0.0001) (Fig. 1B left panel). ADAMTS 13 was also correlated with the systemic inflammation since ADAMTS 13 antigen levels were negatively correlated with C-reactive protein (Spearman r = −0.2649, p = 0.0316) (Fig. 1B right panel). Then, we studied the role of ADAMTS 13 concentrations to predict the severity of the disease using the receiver operating characteristic (ROC) curve analysis. We identified ADAMTS 13 below 559 ng/mL as potential inclusion criteria for ICU entrance (AUC 0.674, 95% CI 0.523–0.825, p = 0.0203). Using this cut-off, the ROC curve yielded a sensitivity of 68.2% (95% CI 47.3–83.6) and a specificity of 60.4% (95% CI 46.3–73.0) (Fig. 1C). VWF multimeric pattern was analyzed in 10 patients and showed a decrease in high-molecular-weight multimers (HMWM) (36.0 [33.5–36.7] %, reference intervals 45–67%) in 8 patients associated with a relative increase in intermediate (IMWM) and low-molecular-weight multimers (LMWM) (36.8 [35.1–42.3] %, reference intervals 22–36% and 27.9 [26.5–28.5] %, reference intervals 9–21%, respectively) (Fig. 1D). In these 8 patients the median concentration of ADAMTS 13 antigen was 432 [303-592] ng/mL.
Table 1

Comparison of biological parameters in patients with COVID-19 according to the department of admission or the prognosis.

Median (IQR)Control
Home
Non-ICU
ICU
Survivor
Non-survivor
n = 21n = 4n = 44n = 22n = 55n = 15
VWF activity (%) (N:50–160%)105 (92–139)221 (161–448)(158–506)a329⁎⁎⁎⁎ (243-393)355⁎⁎⁎⁎ (297–416)329 (244–380)391 (276–448)
VWF antigen (%) (N:50–150%)116 (100–153)297 (170–604)(149–685)a390⁎⁎⁎⁎ (288–512)456⁎⁎⁎⁎ (402–493)407 (286–499)463 (348–517)
VWF ratio (activity/antigen) (N > 0.7)0.92 (0.84–1.0)0.75 (0.73–0.99)(0.72–1.06)a0.79⁎⁎⁎ (0.73-0.85)0.78⁎⁎ (0.72–0.88)0.78 (0.72–0.85)0.81 (0.77–0.85)
ADAMTS 13 antigen (ng/mL) (N:439–1155 ng/mL)808 (715–884)648 (471–663)(412–668)a588⁎⁎ (495-681)458⁎⁎⁎⁎ (364–615)584 (480–682)453 (392–596)

Results are expressed as median and interquartile range (between brackets). We compared the biological variables between the four groups (control, home, non-ICU and ICU) using the Kruskal-Wallis test followed by Dunn's posttest. Between survivors and non survivors quantitative variables were compared using the Mann-Whitney U test. A P-value of <0.05 was considered to be statistically significant.

ICU Intensive care unit.

p < 0.01 versus control group.

p < 0.001 versus control group.

p < 0.0001 versus control group.

For this small group, in addition to median (IQR) results were expressed as total range (min-max).

Fig. 1

(A) ADAMTS 13 antigen concentration in patients with COVID-19 compared to 21 healthy controls. ADAMTS 13 concentration were compared between the four groups (control, home, non-ICU and ICU) using the Kruskal-Wallis test followed by Dunn's posttest. ** p < 0.01 versus control group; ****p < 0.0001 versus control group, (B) Correlation between ADAMTS 13 antigen level and Willebrand antigen or C-reactive protein. Correlations were assessed using the Spearman coefficient correlation test. (C) ROC curve analysis of ADAMTS 13 level to predict ICU admission. (D) Distribution of von Willebrand factor multimers in a representative plasma from patient with COVID-19 (dark area) using agarose gel electrophoresis, compared to control (white area). VWF antigen of 517%, ADAMTS 13 antigen of 263 ng/mL, densitometry LMWM 28.1% (reference intervals 9–21%), IMWM 37.9% (reference intervals 22–36%) and HMWM 34% (reference intervals 45–67%).

Ns: not significant; R: Spearman correlation coefficient; ICU: intensive care unit; AUC: Area under curve; LMWF: Low molecular weight multimers; IMWM: Intermediate molecular weight multimers; HMWM: High molecular weight multimers.

Comparison of biological parameters in patients with COVID-19 according to the department of admission or the prognosis. Results are expressed as median and interquartile range (between brackets). We compared the biological variables between the four groups (control, home, non-ICU and ICU) using the Kruskal-Wallis test followed by Dunn's posttest. Between survivors and non survivors quantitative variables were compared using the Mann-Whitney U test. A P-value of <0.05 was considered to be statistically significant. ICU Intensive care unit. p < 0.01 versus control group. p < 0.001 versus control group. p < 0.0001 versus control group. For this small group, in addition to median (IQR) results were expressed as total range (min-max). (A) ADAMTS 13 antigen concentration in patients with COVID-19 compared to 21 healthy controls. ADAMTS 13 concentration were compared between the four groups (control, home, non-ICU and ICU) using the Kruskal-Wallis test followed by Dunn's posttest. ** p < 0.01 versus control group; ****p < 0.0001 versus control group, (B) Correlation between ADAMTS 13 antigen level and Willebrand antigen or C-reactive protein. Correlations were assessed using the Spearman coefficient correlation test. (C) ROC curve analysis of ADAMTS 13 level to predict ICU admission. (D) Distribution of von Willebrand factor multimers in a representative plasma from patient with COVID-19 (dark area) using agarose gel electrophoresis, compared to control (white area). VWF antigen of 517%, ADAMTS 13 antigen of 263 ng/mL, densitometry LMWM 28.1% (reference intervals 9–21%), IMWM 37.9% (reference intervals 22–36%) and HMWM 34% (reference intervals 45–67%). Ns: not significant; R: Spearman correlation coefficient; ICU: intensive care unit; AUC: Area under curve; LMWF: Low molecular weight multimers; IMWM: Intermediate molecular weight multimers; HMWM: High molecular weight multimers. In our series of patients with COVID-19 we observed an imbalance between a marked increase in VWF levels associated with a moderate deficiency in ADAMTS 13. The strong VWF release related to the acute endothelial stimulation observed in both sepsis and COVID-19 could explain the consumption of the ADAMTS 13 as suggested by the negative correlation between the VWF antigen levels and the ADAMTS 13 levels. However, in patients with COVID-19, ADAMTS 13 deficiency contrasts with the decrease in HMWM associated with a relative increase of cleaved multimers of VWF suggesting that ADAMTS 13 remains functional. The decrease in HMWM may be partially explained by the consumption of larger multimers of VWF, highly adhesive to platelets as seen in the acute phase of thrombotic thrombocytopenic purpura [9]. However, the microangiopathy of COVID-19 does not resemble that of TTP, since there is no major thrombocytopenia or hemolytic anemia. In our series, we observed a thrombocytopenia <150 × 109 per L in only 23% of patients at the admission with a median of 128 × 109 per L (ranging from 63 to 148 × 109/L). Thus, the massive release of VWF related to the endothelial stimulation and the mild deficiency in ADAMTS 13 could contribute, at least locally, to the pulmonary microthrombi formation. The presence of small platelet rich thrombi within small vessels and alveolar capillaries reported by Fox et al. [10] in lung from patients with COVID-19 may supports this hypothesis. Even though the ADAMTS 13 levels are moderately decrease in patients with COVID-19, this could raise the question of supplementation in ADAMTS 13 in patients with COVID-19. VWF and the regulation of the size of its multimers by ADAMTS 13 were shown to be implicated in inflammation: ADAMTS 13 reduces VWF-mediated acute inflammation and in ADAMTS 13 knocked-out mice, an enhanced general leukocyte recruitment was observed [11]. This VWF-dependent anti-inflammatory aspect of ADAMTS 13 could be particularly interesting in patients with COVID-19.

Declaration of competing interest

The authors declare that they have no competing interests.
  10 in total

Review 1.  Thromboinflammation: From Atherosclerosis to COVID-19.

Authors:  Denisa D Wagner; Lukas A Heger
Journal:  Arterioscler Thromb Vasc Biol       Date:  2022-07-08       Impact factor: 10.514

2.  Carriers of ADAMTS13 Rare Variants Are at High Risk of Life-Threatening COVID-19.

Authors:  Kristina Zguro; Margherita Baldassarri; Francesca Fava; Giada Beligni; Sergio Daga; Roberto Leoncini; Lucrezia Galasso; Michele Cirianni; Stefano Rusconi; Matteo Siano; Daniela Francisci; Elisabetta Schiaroli; Sauro Luchi; Giovanna Morelli; Enrico Martinelli; Massimo Girardis; Stefano Busani; Saverio Giuseppe Parisi; Sandro Panese; Carmelo Piscopo; Mario Capasso; Danilo Tacconi; Chiara Spertilli Raffaelli; Annarita Giliberti; Giulia Gori; Peter D Katsikis; Maria Lorubbio; Paola Calzoni; Agostino Ognibene; Monica Bocchia; Monica Tozzi; Alessandro Bucalossi; Giuseppe Marotta; Simone Furini; Alessandra Renieri; Chiara Fallerini
Journal:  Viruses       Date:  2022-05-29       Impact factor: 5.818

Review 3.  Current and novel biomarkers of thrombotic risk in COVID-19: a Consensus Statement from the International COVID-19 Thrombosis Biomarkers Colloquium.

Authors:  Diana A Gorog; Robert F Storey; Paul A Gurbel; Udaya S Tantry; Jeffrey S Berger; Mark Y Chan; Daniel Duerschmied; Susan S Smyth; William A E Parker; Ramzi A Ajjan; Gemma Vilahur; Lina Badimon; Jurrien M Ten Berg; Hugo Ten Cate; Flora Peyvandi; Taia T Wang; Richard C Becker
Journal:  Nat Rev Cardiol       Date:  2022-01-13       Impact factor: 49.421

Review 4.  High levels of Von Willebrand factor markers in COVID-19: a systematic review and meta-analysis.

Authors:  Mehrdad Rostami; Hassan Mansouritorghabeh; Mohammad Parsa-Kondelaji
Journal:  Clin Exp Med       Date:  2021-11-06       Impact factor: 5.057

5.  Reduced ADAMTS13 Activity in Correlation with Pathophysiology, Severity, and Outcome of COVID-19: A Retrospective Observational Study.

Authors:  Wael Hafez; Mohamad Azzam Ziade; Arun Arya; Husam Saleh; Sara Ali; Srinivasa Raghu Rao; Osman Fdl Alla; Mohamed Ali; Mouhamad Al Zouhbi; Ahmed Abdelrahman
Journal:  Int J Infect Dis       Date:  2022-02-12       Impact factor: 12.074

Review 6.  The Vascular Endothelium and Coagulation: Homeostasis, Disease, and Treatment, with a Focus on the Von Willebrand Factor and Factors VIII and V.

Authors:  Juan A De Pablo-Moreno; Luis Javier Serrano; Luis Revuelta; María José Sánchez; Antonio Liras
Journal:  Int J Mol Sci       Date:  2022-07-27       Impact factor: 6.208

Review 7.  Prognostic value of von Willebrand factor and ADAMTS13 in patients with COVID-19: A systematic review and meta-analysis.

Authors:  Xin Xu; Yao Feng; Yitong Jia; Xiao Zhang; Long Li; Xuesong Bai; Liqun Jiao
Journal:  Thromb Res       Date:  2022-08-18       Impact factor: 10.407

Review 8.  COVID-19-Associated Thrombotic Thrombocytopenic Purpura: A Case Report and Systematic Review.

Authors:  Haseeb Chaudhary; Usama Nasir; Khezar Syed; Maria Labra; Christopher Reggio; Ansar Aziz; Parin Shah; Roopika Reddy; Navdeep Sangha
Journal:  Hematol Rep       Date:  2022-08-02

9.  Associations between the von Willebrand Factor-ADAMTS13 Axis, Complement Activation, and COVID-19 Severity and Mortality.

Authors:  György Sinkovits; Marienn Réti; Veronika Müller; Zsolt Iványi; János Gál; László Gopcsa; Péter Reményi; Beáta Szathmáry; Botond Lakatos; János Szlávik; Ilona Bobek; Zita Z Prohászka; Zsolt Förhécz; Blanka Mező; Dorottya Csuka; Lisa Hurler; Erika Kajdácsi; László Cervenak; Petra Kiszel; Tamás Masszi; István Vályi-Nagy; Zoltán Prohászka
Journal:  Thromb Haemost       Date:  2022-01-21       Impact factor: 5.249

Review 10.  COVID-19 and biomarkers of thrombosis: focus on von Willebrand factor and extracellular vesicles.

Authors:  Richard C Becker; Travis Sexton; Susan Smyth
Journal:  J Thromb Thrombolysis       Date:  2021-08-04       Impact factor: 2.300

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.