Thrombocytopenia in COVID19 and vaccineinduced thrombotic thrombocytopenia.
Int J Mol Med
; 49(3)2022 03.
Article
in English
| MEDLINE | ID: covidwho-1643663
ABSTRACT
The highly heterogeneous symptomatology and unpredictable progress of COVID19 triggered unprecedented intensive biomedical research and a number of clinical research projects. Although the pathophysiology of the disease is being progressively clarified, its complexity remains vast. Moreover, some extremely infrequent cases of thrombotic thrombocytopenia following vaccination against SARSCoV2 infection have been observed. The present study aimed to map the signaling pathways of thrombocytopenia implicated in COVID19, as well as in vaccineinduced thrombotic thrombocytopenia (VITT). The biomedical literature database, MEDLINE/PubMed, was thoroughly searched using artificial intelligence techniques for the semantic relations among the top 50 similar words (>0.9) implicated in COVID19mediated human infection or VITT. Additionally, STRING, a database of primary and predicted associations among genes and proteins (collected from diverse resources, such as documented pathway knowledge, highthroughput experimental studies, crossspecies extrapolated information, automated text mining results, computationally predicted interactions, etc.), was employed, with the confidence threshold set at 0.7. In addition, two interactomes were constructed i) A network including 119 and 56 nodes relevant to COVID19 and thrombocytopenia, respectively; and ii) a second network containing 60 nodes relevant to VITT. Although thrombocytopenia is a dominant morbidity in both entities, three nodes were observed that corresponded to genes (AURKA, CD46 and CD19) expressed only in VITT, whilst ADAM10, CDC20, SHC1 and STXBP2 are silenced in VITT, but are commonly expressed in both COVID19 and thrombocytopenia. The calculated average node degree was immense (11.9 in COVID19 and 6.43 in VITT), illustrating the complexity of COVID19 and VITT pathologies and confirming the importance of cytokines, as well as of pathways activated following hypoxic events. In addition, PYCARD, NLP3 and P2RX7 are key potential therapeutic targets for all three morbid entities, meriting further research. This interactome was based on wildtype genes, revealing the predisposition of the body to hypoxiainduced thrombosis, leading to the acute COVID19 phenotype, the 'longCOVID syndrome', and/or VITT. Thus, common nodes appear to be key players in illness prevention, progression and treatment.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Thrombocytopenia
/
Thrombosis
/
Vaccines
/
COVID-19
Type of study:
Prognostic study
/
Randomized controlled trials
/
Reviews
Topics:
Long Covid
/
Vaccines
Limits:
Humans
Language:
English
Journal subject:
Molecular Biology
/
Genetics, Medical
Year:
2022
Document Type:
Article
Affiliation country:
Ijmm.2022.5090
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