Literature DB >> 34730226

Aortic vulnerability to COVID-19: is the microvasculature of vasa vasorum a key factor? A case report and a review of the literature.

G Faa1, C Gerosa, D Fanni, D Barcellona, G Cerrone, G Orrù, A Scano, F Marongiu, J S Suri, R Demontis, M Nioi, E D'Aloja, G La Nasa, L Saba.   

Abstract

Arterial thromboembolic complications reported in patients with COVID-19 infection suggested that SARS-CoV-2 can trigger atherosclerotic plaque vulnerability. While endothelial cells in healthy subjects protect against thrombus formation, after injury they show prothrombotic activity. In addition, it has been hypothesized that "cytokine storm" might stimulate the production of neo-platelets triggering an abnormal "immunothrombosis" responsible for the hypercoagulable state induced in COVID-19 patients. The aim of this study is to report a case of severe COVID-19 infection characterized by the occurrence of microthrombosis in the vasa vasorum of the aorta. A 67-year-old male patient, in good health status and without comorbidities, who underwent a severe COVID-19 infection with fatal outcome, showed scattered aortic atherosclerotic plaques, characterized by multiple occlusive micro-thromboses in the vasa vasorum, spread out lymphocytic infiltrates and foci of endotheliitis and endothelial detachment. This case report confirms the previously described thrombotic involvement of vasa vasorum in COVID-19. The occurrence of the synchronous damage involving both the lumen surface (endothelial dysfunction, endotheliitis and endothelial detachment) and the adventitia (inflammation and occlusive thrombosis of vasa vasorum) could be the key points related to the fatal outcome of the SARS-CoV-2 patients. In our opinion, vasa vasorum thrombosis may thus initiate an atherogenic process that could be characterized by a much more rapid development.

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Year:  2021        PMID: 34730226     DOI: 10.26355/eurrev_202110_27018

Source DB:  PubMed          Journal:  Eur Rev Med Pharmacol Sci        ISSN: 1128-3602            Impact factor:   3.507


  3 in total

1.  Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0.

Authors:  Mohit Agarwal; Sushant Agarwal; Luca Saba; Gian Luca Chabert; Suneet Gupta; Alessandro Carriero; Alessio Pasche; Pietro Danna; Armin Mehmedovic; Gavino Faa; Saurabh Shrivastava; Kanishka Jain; Harsh Jain; Tanay Jujaray; Inder M Singh; Monika Turk; Paramjit S Chadha; Amer M Johri; Narendra N Khanna; Sophie Mavrogeni; John R Laird; David W Sobel; Martin Miner; Antonella Balestrieri; Petros P Sfikakis; George Tsoulfas; Durga Prasanna Misra; Vikas Agarwal; George D Kitas; Jagjit S Teji; Mustafa Al-Maini; Surinder K Dhanjil; Andrew Nicolaides; Aditya Sharma; Vijay Rathore; Mostafa Fatemi; Azra Alizad; Pudukode R Krishnan; Rajanikant R Yadav; Frence Nagy; Zsigmond Tamás Kincses; Zoltan Ruzsa; Subbaram Naidu; Klaudija Viskovic; Manudeep K Kalra; Jasjit S Suri
Journal:  Comput Biol Med       Date:  2022-05-21       Impact factor: 6.698

Review 2.  On vasa vasorum: A history of advances in understanding the vessels of vessels.

Authors:  Julie A Phillippi
Journal:  Sci Adv       Date:  2022-04-20       Impact factor: 14.957

3.  Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation.

Authors:  Jasjit S Suri; Sushant Agarwal; Luca Saba; Gian Luca Chabert; Alessandro Carriero; Alessio Paschè; Pietro Danna; Armin Mehmedović; Gavino Faa; Tanay Jujaray; Inder M Singh; Narendra N Khanna; John R Laird; Petros P Sfikakis; Vikas Agarwal; Jagjit S Teji; Rajanikant R Yadav; Ferenc Nagy; Zsigmond Tamás Kincses; Zoltan Ruzsa; Klaudija Viskovic; Mannudeep K Kalra
Journal:  J Med Syst       Date:  2022-08-21       Impact factor: 4.920

  3 in total

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