Histopathologic Evaluation and Scoring of Viral Lung Infection.
Identifieur interne : 000303 ( PubMed/Corpus ); précédent : 000302; suivant : 000304Histopathologic Evaluation and Scoring of Viral Lung Infection.
Auteurs : David K. Meyerholz ; Amanda P. BeckSource :
- Methods in molecular biology (Clifton, N.J.) [ 1940-6029 ] ; 2020.
Abstract
Emergent coronaviruses such as MERS-CoV and SARS-CoV can cause significant morbidity and mortality in infected individuals. Lung infection is a common clinical feature and contributes to disease severity as well as viral transmission. Animal models are often required to study viral infections and therapies, especially during an initial outbreak. Histopathology studies allow for identification of lesions and affected cell types to better understand viral pathogenesis and clarify effective therapies. Use of immunostaining allows detection of presumed viral receptors and viral tropism for cells can be evaluated to correlate with lesions. In the lung, lesions and immunostaining can be qualitatively described to define the cell types, microanatomic location, and type of changes seen. These features are important and necessary, but this approach can have limitations when comparing treatment groups. Semiquantitative and quantitative tissue scores are more rigorous as these provide the ability to statistically compare groups and increase the reproducibility and rigor of the study. This review describes principles, approaches, and resources that can be useful to evaluate coronavirus lung infection, focusing on MER-CoV infection as the principal example.
DOI: 10.1007/978-1-0716-0211-9_16
PubMed: 31883098
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Histopathologic Evaluation and Scoring of Viral Lung Infection.</title><author><name sortKey="Meyerholz, David K" sort="Meyerholz, David K" uniqKey="Meyerholz D" first="David K" last="Meyerholz">David K. Meyerholz</name><affiliation><nlm:affiliation>Department of Pathology, University of Iowa Carver College of Medicine, Iowa City, IA, USA. david-meyerholz@uiowa.edu.</nlm:affiliation></affiliation></author><author><name sortKey="Beck, Amanda P" sort="Beck, Amanda P" uniqKey="Beck A" first="Amanda P" last="Beck">Amanda P. Beck</name><affiliation><nlm:affiliation>Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, USA.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:31883098</idno><idno type="pmid">31883098</idno><idno type="doi">10.1007/978-1-0716-0211-9_16</idno><idno type="wicri:Area/PubMed/Corpus">000303</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000303</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Histopathologic Evaluation and Scoring of Viral Lung Infection.</title><author><name sortKey="Meyerholz, David K" sort="Meyerholz, David K" uniqKey="Meyerholz D" first="David K" last="Meyerholz">David K. Meyerholz</name><affiliation><nlm:affiliation>Department of Pathology, University of Iowa Carver College of Medicine, Iowa City, IA, USA. david-meyerholz@uiowa.edu.</nlm:affiliation></affiliation></author><author><name sortKey="Beck, Amanda P" sort="Beck, Amanda P" uniqKey="Beck A" first="Amanda P" last="Beck">Amanda P. Beck</name><affiliation><nlm:affiliation>Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, USA.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Methods in molecular biology (Clifton, N.J.)</title><idno type="eISSN">1940-6029</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Emergent coronaviruses such as MERS-CoV and SARS-CoV can cause significant morbidity and mortality in infected individuals. Lung infection is a common clinical feature and contributes to disease severity as well as viral transmission. Animal models are often required to study viral infections and therapies, especially during an initial outbreak. Histopathology studies allow for identification of lesions and affected cell types to better understand viral pathogenesis and clarify effective therapies. Use of immunostaining allows detection of presumed viral receptors and viral tropism for cells can be evaluated to correlate with lesions. In the lung, lesions and immunostaining can be qualitatively described to define the cell types, microanatomic location, and type of changes seen. These features are important and necessary, but this approach can have limitations when comparing treatment groups. Semiquantitative and quantitative tissue scores are more rigorous as these provide the ability to statistically compare groups and increase the reproducibility and rigor of the study. This review describes principles, approaches, and resources that can be useful to evaluate coronavirus lung infection, focusing on MER-CoV infection as the principal example.</div></front></TEI><pubmed><MedlineCitation Status="In-Process" Owner="NLM"><PMID Version="1">31883098</PMID><DateRevised><Year>2020</Year><Month>04</Month><Day>18</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1940-6029</ISSN><JournalIssue CitedMedium="Internet"><Volume>2099</Volume><PubDate><Year>2020</Year></PubDate></JournalIssue><Title>Methods in molecular biology (Clifton, N.J.)</Title><ISOAbbreviation>Methods Mol. Biol.</ISOAbbreviation></Journal><ArticleTitle>Histopathologic Evaluation and Scoring of Viral Lung Infection.</ArticleTitle><Pagination><MedlinePgn>205-220</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/978-1-0716-0211-9_16</ELocationID><Abstract><AbstractText>Emergent coronaviruses such as MERS-CoV and SARS-CoV can cause significant morbidity and mortality in infected individuals. Lung infection is a common clinical feature and contributes to disease severity as well as viral transmission. Animal models are often required to study viral infections and therapies, especially during an initial outbreak. Histopathology studies allow for identification of lesions and affected cell types to better understand viral pathogenesis and clarify effective therapies. Use of immunostaining allows detection of presumed viral receptors and viral tropism for cells can be evaluated to correlate with lesions. In the lung, lesions and immunostaining can be qualitatively described to define the cell types, microanatomic location, and type of changes seen. These features are important and necessary, but this approach can have limitations when comparing treatment groups. Semiquantitative and quantitative tissue scores are more rigorous as these provide the ability to statistically compare groups and increase the reproducibility and rigor of the study. This review describes principles, approaches, and resources that can be useful to evaluate coronavirus lung infection, focusing on MER-CoV infection as the principal example.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Meyerholz</LastName><ForeName>David K</ForeName><Initials>DK</Initials><AffiliationInfo><Affiliation>Department of Pathology, University of Iowa Carver College of Medicine, Iowa City, IA, USA. david-meyerholz@uiowa.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Beck</LastName><ForeName>Amanda P</ForeName><Initials>AP</Initials><AffiliationInfo><Affiliation>Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Methods Mol 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