Evidence map›Paper›PMID 35373872›Full record

ReviewMicroscopy research and technique2022

Detection and identification of coronaviruses in human tissues using electron microscopy.

Hannah A Bullock, Cynthia S Goldsmith, Sara E Miller

Open access · greenAbstract readReview
In one paragraph

Review in Microscopy research and technique, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 33 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Hannah A BullockSynergy America, Inc., Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-4811-1274
Cynthia S GoldsmithCenters for Disease Control and Prevention, Atlanta, Georgia, USA.
Sara E MillerDuke Medical Center, Durham, North Carolina, USA.
Centers for Disease Control and Prevention · USDuke Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of viral particles within a tissue specimen requires specific knowledge of viral ultrastructure and replication, as well as a thorough familiarity with normal subcellular organelles. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has underscored how challenging the task of identifying coronavirus by electron microscopy (EM) can be. Numerous articles have been published mischaracterizing common subcellular structures, including clathrin- or coatomer- coated vesicles, multivesicular bodies, and rough endoplasmic reticulum, as coronavirus particles in SARS-CoV-2 positive patient tissue specimens. To counter these misinterpretations, we describe the morphological features of coronaviruses that should be used to differentiate coronavirus particles from subcellular structures. Further, as many of the misidentifications of coronavirus particles have stemmed from attempts to attribute tissue damage to direct infection by SARS-CoV-2, we review articles describing ultrastructural changes observed in specimens from SARS-CoV-2-infected individuals that do not necessarily provide EM evidence of direct viral infection. Ultrastructural changes have been observed in respiratory, cardiac, kidney, and intestinal tissues, highlighting the widespread effects that SARS-CoV-2 infection may have on the body, whether through direct viral infection or mediated by SARS-CoV-2 infection-induced inflammatory and immune processes. HIGHLIGHTS: The identification of coronavirus particles in SARS-CoV-2 positive tissues continues to be a challenging task. This review provides examples of coronavirus ultrastructure to aid in the differentiation of the virus from common cellular structures.

Indexed as

COVID-19SARS-CoV-2HumansMicroscopy, ElectronPandemicscoronavirusCOVID-19electron microscopySARSSARS-CoV-2ultrastructure

Identifiers

PMID35373872
PMCPMC9088335
OpenAlexW4224095759

What OpenQuestion holds

Textmetadata
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.