Literature DB >> 34982463

Scanning electron microscopy of lung disease due to COVID-19 - a case report and a review of the literature.

T Congiu1, R Demontis, F Cau, M Piras, D Fanni, C Gerosa, C Botta, A Scano, A Chighine, E Faedda, R Cau, P Van Eyken, F Marongiu, D Barcellona, L Saba, G Orrù, F Coghe, J S Suri, G Faa, E d'Aloja.   

Abstract

OBJECTIVE: The ongoing Coronavirus pandemic (COVID-19) showed similar characteristics with the severe acute respiratory syndrome (SARS). In the most compromised cases, COVID-19 infection leads to death due to severe respiratory complications. COVID-19-related acute respiratory distress syndrome (ARDS) is the primary cause of death in these patients. In the present study, we show an ultrastructural analysis on the lungs of a patient affected by COVID-19. PATIENTS AND METHODS: Lung specimens obtained at autopsy from a 63-years old patient affected by COVID-19 were fixed in 1% paraformaldehyde. Slices of 300 µm thickness were dehydrated and dried by Critical Point Drying in CO2. Slices were covered with a conductive gold film approximately 30 nm thick and observed at a Zeiss Sigma 300 SEM FEG in the secondary electron (SE) and backscattered electron (BSE) modes. As case control a lung biopsy from a 60-year-old man was considered.
RESULTS: At low power in all COVID-19 lung specimens severe changes in the pulmonary architecture were found, due to the collapse of air spaces. Moreover, alveolar cavities were covered by large membranes. At high power, alveolar membranes showed a fibrillar structure, suggestive of a loose network of fibrin. It has been also found that intra-alveolar red blood cells were frequently present in the alveolar spaces, surrounded by a reticular fibrin network, suggestive for fibrin-hemorrhagic alveolitis. Alveolar changes were constantly associated with pathological features related to the pulmonary vessels. Vascular changes were prominent, including endothelial damage and thrombosis of large pulmonary vessels. Fibrinous microthrombi were frequently detected in the inter-alveolar septal capillaries. In addition, it has been frequently detected capillary proliferation in the alveolar septa with finding suggestive for intussusceptive neo-angiogenesis.
CONCLUSIONS: In conclusion, our electron microscopy analysis showed that COVID-19-related lung disease is characterized by a substantial architectural distortion, with the interactions between alveolar and vascular changes. Intra-alveolar hyaline membranes are associated with macro- and micro-thrombotic angiopathy, ending with capillary proliferation. The new blood vessel formation originates from the septa and extends into the surrounding parenchyma. Our findings confirm previous reports on the specificity of the multiple and complex morphological pattern typical, and apparently specific, of COVID-19-related lung disease.

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Year:  2021        PMID: 34982463     DOI: 10.26355/eurrev_202112_27650

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


  6 in total

1.  COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans.

Authors:  Jasjit S Suri; Sushant Agarwal; Gian Luca Chabert; Alessandro Carriero; Alessio Paschè; Pietro S C Danna; Luca Saba; Armin Mehmedović; Gavino Faa; Inder M Singh; Monika Turk; Paramjit S Chadha; Amer M Johri; Narendra N Khanna; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; David W Sobel; Antonella Balestrieri; Petros P Sfikakis; George Tsoulfas; Athanasios D Protogerou; 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; Ferenc Nagy; Zoltan Ruzsa; Mostafa M Fouda; Subbaram Naidu; Klaudija Viskovic; Mannudeep K Kalra
Journal:  Diagnostics (Basel)       Date:  2022-06-16

2.  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 3.  COVID-19 Medical and Pharmacological Management in the European Countries Compared to Italy: An Overview.

Authors:  Sergio Pandolfi; Luigi Valdenassi; Geir Bjørklund; Salvatore Chirumbolo; Roman Lysiuk; Larysa Lenchyk; Monica Daniela Doşa; Serafino Fazio
Journal:  Int J Environ Res Public Health       Date:  2022-04-02       Impact factor: 3.390

Review 4.  Long COVID: The Nature of Thrombotic Sequelae Determines the Necessity of Early Anticoagulation.

Authors:  Chengyue Wang; Chengyuan Yu; Haijiao Jing; Xiaoming Wu; Valerie A Novakovic; Rujuan Xie; Jialan Shi
Journal:  Front Cell Infect Microbiol       Date:  2022-04-05       Impact factor: 6.073

5.  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

Review 6.  The cross-talk of lung and heart complications in COVID-19: Endothelial cells dysfunction, thrombosis, and treatment.

Authors:  Langjiao Liu; Haijiao Jing; Xiaoming Wu; Mengqi Xiang; Valerie A Novakovic; Shuye Wang; Jialan Shi
Journal:  Front Cardiovasc Med       Date:  2022-08-05
  6 in total

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