Evidence map›Paper›PMID 35326463›Full record

ArticleCells2022

Multi-Design Differential Expression Profiling of COVID-19 Lung Autopsy Specimens Reveals Significantly Deregulated Inflammatory Pathways and SFTPC Impaired Transcription.

Matteo Fassan, Antonio Collesei, Valentina Angerilli, Marta Sbaraglia, Francesco Fortarezza, Federica Pezzuto, Monica De Gaspari, Gianluca Businello, Margherita Moni, Stefania Rizzo and 9 more

Abstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Frontiers in oncology · 2025
    Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Matteo FassanDepartment of Medicine (DIMED), University of Padua, 35121 Padua, Italy.ORCID 0000-0001-6515-5482
Antonio ColleseiFamilial Cancer Clinics, Veneto Institute of Oncology, IOV-IRCCS, 35127 Padua, Italy.ORCID 0000-0002-5815-7081
Valentina AngerilliDepartment of Medicine (DIMED), University of Padua, 35121 Padua, Italy.
Marta SbaragliaDepartment of Medicine (DIMED), University of Padua, 35121 Padua, Italy.
Francesco FortarezzaSurgical Pathology Unit, Padua University Hospital, 35121 Padua, Italy.ORCID 0000-0002-8954-5888
Federica PezzutoSurgical Pathology Unit, Padua University Hospital, 35121 Padua, Italy.ORCID 0000-0002-8023-3108
Monica De GaspariDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35121 Padua, Italy.ORCID 0000-0001-9528-4883
Gianluca BusinelloDepartment of Medicine (DIMED), University of Padua, 35121 Padua, Italy.
Margherita MoniDepartment of Medicine (DIMED), University of Padua, 35121 Padua, Italy.
Stefania RizzoDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35121 Padua, Italy.
Giulia TraversoDepartment of Medicine (DIMED), University of Padua, 35121 Padua, Italy.
Veronica ColossoFamilial Cancer Clinics, Veneto Institute of Oncology, IOV-IRCCS, 35127 Padua, Italy.
Elisa TaschinFamilial Cancer Clinics, Veneto Institute of Oncology, IOV-IRCCS, 35127 Padua, Italy.
Francesca LunardiDepartment of Medicine (DIMED), University of Padua, 35121 Padua, Italy.ORCID 0000-0001-5792-4683
Aida Freire VallsNanoString Technologies, Inc., 530 Fairview Avenue N, Seattle, WA 98109, USA.
Francesca SchiaviFamilial Cancer Clinics, Veneto Institute of Oncology, IOV-IRCCS, 35127 Padua, Italy.ORCID 0000-0001-8529-4455
Cristina BassoDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35121 Padua, Italy.ORCID 0000-0002-0195-9753
Fiorella CalabreseSurgical Pathology Unit, Padua University Hospital, 35121 Padua, Italy.
Angelo Paolo Dei TosDepartment of Medicine (DIMED), University of Padua, 35121 Padua, Italy.

Funding

Italian Association for Cancer Research 22759Nanostring Technologies (United States) NARegione del Veneto NET-2016-02363853
6 · The paper itself

Abstract

The transcriptomic profiling of lung damage associated with SARS-CoV-2 infection may lead to the development of effective therapies to prevent COVID-19-related deaths. We selected a series of 21 autoptic lung samples, 14 of which had positive nasopharyngeal swabs for SARS-CoV-2 and a clinical diagnosis of COVID-19-related death; their pulmonary viral load was quantified with a specific probe for SARS-CoV-2. The remaining seven cases had no documented respiratory disease and were used as controls. RNA from formalin-fixed paraffin-embedded (FFPE) tissue samples was extracted to perform gene expression profiling by means of targeted (Nanostring) and comprehensive RNA-Seq. Two differential expression designs were carried out leading to relevant results in terms of deregulation. SARS-CoV-2 positive specimens presented a significant overexpression in genes of the type I interferon signaling pathway (IFIT1, OAS1, ISG15 and RSAD2), complement activation (C2 and CFB), macrophage polarization (PKM, SIGLEC1, CD163 and MS4A4A) and Cathepsin C (CTSC). CD163, Siglec-1 and Cathepsin C overexpression was validated by immunohistochemistry. SFTPC, the encoding gene for pulmonary-associated surfactant protein C, emerged as a key identifier of COVID-19 patients with high viral load. This study successfully recognized SARS-CoV-2 specific immune signatures in lung samples and highlighted new potential therapeutic targets. A better understanding of the immunopathogenic mechanisms of SARS-CoV-2 induced lung damage is required to develop effective individualized pharmacological strategies.

Indexed as

COVID-19AutopsyCathepsin CHumansLungPulmonary Surfactant-Associated Protein CSARS-CoV-2Cathepsin CPulmonary Surfactant-Associated Protein CSFTPC protein, humanautopsycomplementCOVID-19inflammationSARS-CoV-2transcriptomic profiling

Identifiers

PMID35326463
PMCPMC8947344

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.