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Record W3040087745 · doi:10.1016/j.ebiom.2020.102865

Illuminating COVID-19 lung disease through autopsy studies

2020· article· en· W3040087745 on OpenAlexaboutno aff
David K. Meyerholz, Paul B. McCray

Bibliographic record

VenueEBioMedicine · 2020
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesNational Institutes of Health
KeywordsOutbreakMiddle East respiratory syndromeMedicineMortality rateMiddle East respiratory syndrome coronavirusPneumoniaChinaCoronavirus disease 2019 (COVID-19)PandemicAtypical pneumoniaSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)DiseaseDemographyVirologyGeographyInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Since the start of the twenty-first century, three zoonotic coronaviruses (CoVs) have caused disease outbreaks in humans. Severe acute respiratory syndrome-CoV (SARS-CoV) emerged in China as a pneumonia outbreak from 2002 to 2003 with a mortality rate of 9.6% and nearly 800 confirmed deaths [[1]Peiris J.S. Yuen K.Y. Osterhaus A.D. Stohr K The severe acute respiratory syndrome.N Engl J Med. 2003; 349: 2431-2441Crossref PubMed Scopus (1010) Google Scholar]. Cases of Middle East respiratory syndrome-CoV (MERS-CoV) first appeared as respiratory disease in Saudi Arabia and Jordan during 2012 and it remains endemic in Saudi Arabia and the Arabian peninsula with an estimated mortality rate of 34.3% and 858 confirmed fatalities [[2]Memish Z.A. Perlman S. Van Kerkhove M.D. Zumla A Middle East respiratory syndrome.Lancet. 2020; 395: 1063-1077Summary Full Text Full Text PDF PubMed Scopus (283) Google Scholar]. While each of these outbreaks caused regional epidemics, they also revealed the potential for a local outbreak to spread globally via air transportation. Remarkably, coronavirus disease 2019 (COVID-19) emerged in Wuhan China in December 2019 and was declared a global pandemic by the World Health Organization (WHO). In just six months, COVID-19 infection has already left a lasting effect across the globe with over 200 affected countries and more than seven million positive cases confirmed by the WHO (www.who.int – accessed June 9, 2020). The cause of COVID-19 was identified as a novel coronavirus now called SARS-CoV-2, a betacoronavirus as are SARS-CoV and MERS-CoV [[3]Coronaviridae Study Group of the International Committee on Taxonomy of VThe species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2.Nat Microbiol. 2020; 5: 536-544Crossref PubMed Scopus (4665) Google Scholar]. In contrast to SARS-CoV or MERS-CoV, SARS-CoV-2 has a lower estimated case fatality rate of 0.8–1.4%, [[4]Roussel Y. Giraud-Gatineau A. Jimeno M.T. et al.SARS-CoV-2: fear versus data.Int J Antimicrob Agents. 2020; 55105947Crossref PubMed Scopus (49) Google Scholar] but due to its highly efficient transmission between naive individuals and its potential to overwhelm local healthcare facilities, the global death toll attributed to SARS-CoV-2 already exceeds 400,000 (www.who.int – accessed June 9, 2020). Like SARS and MERS, respiratory disease is a common clinical feature of COVID-19; however, observations of involvement by other organ systems and systemic manifestations have complicated our understanding of COVID-19 pathogenesis as well as potential therapeutic options. SARS-CoV-2 uses angiotensin converting enzyme 2 (ACE2) as its cellular receptor, just like SARS-CoV [[5]Zhou P. Yang X.L. Wang X.G. et al.A pneumonia outbreak associated with a new coronavirus of probable bat origin.Nature. 2020; 579: 270-273Crossref PubMed Scopus (13506) Google Scholar]. Surprisingly, the clinical disease caused by these viruses, which share the same receptor, are increasingly recognized as not identical, and thus these differences warrant further study. One of the factors limiting our understanding of COVID-19 has been a lack of published autopsy reports [[6]Pomara C. Li Volti G. Cappello F COVID-19 deaths: are we sure it is pneumonia? Please, autopsy, autopsy, autopsy.J Clin Med. 2020; 9Crossref Scopus (68) Google Scholar]. Autopsy (meaning in Greek: "to see for oneself") is a fundamental element of pathology, a specialized discipline in medicine that studies disease. Pathologists perform autopsies to evaluate tissues for lesions at the macroscopic, microscopic, ultrastructural, and molecular levels. Autopsy is the gold standard for determining how and why deaths happen, and help to clarify pathophysiologic mechanisms underlying clinical disease. For highly contagious and lethal diseases such as COVID-19, biosafety/biosecurity, expertise, technical resources, and cultural practices are some of the potential challenges to safe and effective autopsy performance. Sometimes in these situations, pathologists can only perform a partial autopsy to collect essential organs (e.g. lungs). While these limited autopsies can provide insightful data, COVID-19′s multiorgan to systemic involvement clinically requires a broader picture autopsy to gain a comprehensive view of the disease process. Importantly, study of autopsy reports from multiple institutions and regions are useful to validate commonalities of COVID-19 pathogenesis as well as to distinguish the nonspecific influences of medical therapies, time on ventilator, comorbidities, etc. that can vary between patient, institution, and even stages of the pandemic. In the current issue of EBioMedicine, Wang and colleagues report their investigation of two autopsy cases (a female and a male) from Wuhan China [[7]Wang C. e. al. Alveolar macrophage dysfunction and cytokine storm in the pathogenesis of two severe COVID-19 patients.EBioMedicine. 2020; Summary Full Text Full Text PDF Scopus (235) Google Scholar]. Both patients had terminal pulmonary/circulatory failure and were confirmed SARS-CoV-2 positive by polymerase chain reaction in lung tissues. The lung tissues had classic features of diffuse alveolar damage (DAD) by computed tomography (CT) and histopathology, similar to that previously seen in SARS and MERS outbreaks [[1]Peiris J.S. Yuen K.Y. Osterhaus A.D. Stohr K The severe acute respiratory syndrome.N Engl J Med. 2003; 349: 2431-2441Crossref PubMed Scopus (1010) Google Scholar,[2]Memish Z.A. Perlman S. Van Kerkhove M.D. Zumla A Middle East respiratory syndrome.Lancet. 2020; 395: 1063-1077Summary Full Text Full Text PDF PubMed Scopus (283) Google Scholar]. Additionally, these lung tissues had increased cytokines, macrophages, mucus and desquamated epithelium, with thrombi in vessels. Interestingly, they provide evidence that the SARS-CoV-2 S protein may bind to the surface of macrophages. The field awaits definitive evidence of whether or not this virus enters and completes its replication cycle in alveolar macrophages. These data add an important piece of the puzzle to the understanding of severe COVID-19. For example, animal model studies have suggested that exuberant cytokine responses to respiratory coronaviruses could cause excessive infiltration by inflammatory monocyte-macrophages into the lungs resulting in severe lung pathology such as DAD [[8]Channappanavar R. Fehr A.R. Vijay R. et al.Dysregulated Type I interferon and inflammatory monocyte-macrophage responses cause lethal pneumonia in SARS-CoV-infected mice.Cell Host Microbe. 2016; 19: 181-193Summary Full Text Full Text PDF PubMed Scopus (1057) Google Scholar]. Likewise, Wang, et al. [[7]Wang C. e. al. Alveolar macrophage dysfunction and cytokine storm in the pathogenesis of two severe COVID-19 patients.EBioMedicine. 2020; Summary Full Text Full Text PDF Scopus (235) Google Scholar] showed increased cytokines and macrophages in autopsy lungs. The same authors also detected thrombi in some vessels, supporting recent reports of vascular inflammation and thrombi in other autopsy studies [[9]Ackermann M. Verleden S.E. Kuehnel M. et al.Pulmonary vascular endothelialitis, thrombosis, and angiogenesis in COVID-19.N Engl J Med. 2020; Crossref PubMed Scopus (3552) Google Scholar]. Uniquely, Wang and colleagues show that COVID-19 lungs have airspaces partially filled with mucus and desquamated epithelium; some of these features (e.g. mucus) have not been reported by other much larger autopsy studies suggesting it could be related to other factors such as COVID-19 treatments or pre-existing conditions [[10]Edler C. Schroder A.S. Aepfelbacher M. et al.Dying with SARS-CoV-2 infection-an autopsy study of the first consecutive 80 cases in Hamburg, Germany.Int J Legal Med. 2020; Google Scholar]. Finally, we need to continue to acquire more autopsy reports and compare these in triangulation with investigational animal models and clinical studies to gain a more accurate understanding and description of COVID-19 pathophysiology. Authors declare no competing interests. DKM and PBM acknowledge the support of NIH P01 AI-60699. DKM and PBM wrote the manuscript, revised the final manuscript, and are responsible for summarizing all the data. Alveolar macrophage dysfunction and cytokine storm in the pathogenesis of two severe COVID-19 patientsInfection of alveolar macrophage by SARS-CoV-2 might be drivers of the “cytokine storm”, which might result in damages in pulmonary tissues, heart and lung, and lead to the failure of multiple organs . Full-Text PDF Open Access

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.120
GPT teacher head0.441
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations5
Published2020
Admission routes1
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