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Identification of coronavirus particles by electron microscopy requires demonstration of specific ultrastructural features

Carsten Dittmayer, Michael Laue
European Respiratory Journal 2022 60: 2200266; DOI: 10.1183/13993003.00266-2022
Carsten Dittmayer
1Department of Neuropathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
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Michael Laue
2National Consultant Laboratory for Electron Microscopy of Infectious Pathogens, Centre for Biological Threats and Special Pathogens 4 (ZBS 4), Robert Koch Institute, Berlin, Germany
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Abstract

Unequivocal detection of ultrastructural features specific to organelles or viruses is required to infer their presence by electron microscopy. This article also provides reference images for the correct identification of coronavirus. https://bit.ly/3IFYDjc

To the Editor:

With interest we read the publication of Evangelou et al. [1], which studied SARS-CoV-2 induced senescence in severe COVID-19. Immunohistochemistry (IHC) and electron microscopy (EM) were used for in situ detection of SARS-CoV-2 in autopsy tissues. The authors used formalin-fixed and paraffin-embedded (FFPE) autopsy lung of COVID-19 and non-COVID-19 patients to perform re-embedding for EM and ultrastructural analysis. They report detection of SARS-CoV-2 virions within alveolar type 2 cells of representative COVID-19 cases (figure 1c in Evangelou et al. [1]). Three electron micrographs show putative virus particles, indicated by arrows, to document their findings.

Since the fundamental work of G.E. Palade in the middle of the last century [2], we know about the general ultrastructural features of cellular organelles, which allow their identification by EM. With a similar strategy, namely virus isolation and structural characterisation by EM, we have learnt to distinguish viruses from the structural standard inventory of cells and to categorise them into morphological groups [3]. As a consequence, any identification of a particular subcellular structure must be demonstrated by showing their typical structural features.

Evangelou et al. [1] did not show sufficient structural detail to allow an identification of coronavirus (CV) particles by EM. The particles indicated in figure 1c (Evangelou et al. [1]) as “SARS-CoV-2” and “virions” lack essential morphological features of CV particles, such as a clearly visible enveloping biomembrane, club-shaped spikes at their surface and a characteristic granular substructure of the electron dense interior which is due to presence of ribonucleoprotein [4]. The particles meet some of the required criteria, such as electron dense appearance, round to oval shape and a size that roughly matches the size described for CV particles in FFPE re-embedded material (58–108 nm [4, 5]). They also appear to be located in membrane compartments, although it is difficult to clearly identify organelles apart from the nucleus and, perhaps, the rough endoplasmic reticulum, due to limited overall structural preservation. However, these basic criteria can also be met by other, possibly artificially altered cellular organelles and particles, such as multivesicular bodies, severely altered mitochondria and invaginations of the rough endoplasmic reticulum [4].

Generally, preservation of ultrastructure is negatively affected by the FFPE re-embedding procedure applied by Evangelou et al. [1] and, in some cases, is insufficient to allow a reliable identification of CV. However, even in samples prepared according to this procedure, characteristic and essential structural features of CV can be demonstrated and allow the identification of CV (figure 1) [4–7]. An important additional criterion for CV identification is the presence of numerous similarly shaped CV particles within the same cell, which is especially important in structurally impaired samples. Due to the negative effect of the FFPE re-embedding procedure on the morphology of CV particles, more particles per cell are necessary to recognise all relevant features for CV identification than in samples of a conventional preparation (figure 1) [4, 5].

FIGURE 1
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FIGURE 1

Ultrastructure of coronavirus particles in autopsy samples. Formalin-fixed and paraffin embedded autopsy olfactory mucosa, re-embedded for electron microscopy (a–c), and conventionally embedded autopsy lung of COVID-19 patients (d). Coronavirus (CV) particles can be identified due to a high number of similar particles that together fulfil all essential structural criteria [5]. Membrane compartments with multiple or single enclosed CV particles (white arrows), ribonucleoprotein (electron dense, partly granular structure: black arrows), surface projections (“spikes”: white arrowheads) and biomembrane (black arrowheads). See Krasemann et al. [5] for further information on the specimens and detailed recommendations for sample processing and virus identification. Entirely digitised sections and regions of these samples are online available for pan-and-zoom analysis, allowing for training of finding virus particles in autopsy samples (www.nanotomy.org) [5].

EM allows direct detection of morphologically intact virus particles if structural preservation is sufficient and thereby serves as a validating tool for indirect in situ detection methods such as IHC [5, 8]. Detailed recommendations for correct in situ detection of coronavirus in autopsy tissues by EM were recently compiled [5]. Positive IHC or in situ hybridisation signals may guide the finding of infected cells and a sufficient number of virus particles [5]. On the other hand, since IHC signals can be false-positive, they should not be used to support the identification of insufficiently preserved structures by EM in corresponding FFPE re-embedded samples [5]. It is also necessary to note that IHC signals can only indicate the presence of virus protein, which does not necessarily imply that it is linked to a virus particle [5].

In a recently uploaded preprint, we identified 116 of 122 journal publications that misinterpreted different cellular structures as SARS-CoV-2 particles in human samples using EM, or insufficiently documented the presence of the virus [5]. Ultrastructural proof of virus in human samples is challenging [9] but achievable. However, numerous published electron micrographs showing incorrectly or insufficiently identified virus perpetuate further misinterpretations [10]. This unfortunate development increasingly hinders correct use of diagnostic EM for virus identification. Furthermore, numerous false-positive EM data were used to insufficiently validate other in situ detection methods such as IHC [1, 5]. Hence, the data which were used to unravel the cellular tropism of SARS-CoV-2 in patient tissues need to be critically re-evaluated [5].

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Footnotes

  • Conflict of interest: C. Dittmayer has nothing to disclose. M. Laue has nothing to disclose.

  • Received February 4, 2022.
  • Accepted March 20, 2022.
  • Copyright ©The authors 2022.
http://creativecommons.org/licenses/by-nc/4.0/

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References

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    Pulmonary infection by SARS-CoV-2 induces senescence accompanied by an inflammatory phenotype in severe COVID-19: possible implications for viral mutagenesis. Eur Respir J 2022; 60: 2102951. doi:10.1183/13993003.02951-2021
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    Assessing and improving the validity of COVID-19 autopsy studies – a multicenter approach to establish essential standards for immunohistochemical and ultrastructural analyses. medRxiv 2022; preprint [https://doi.org/10.1101/2022.01.13.22269205].
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    Why misinterpretation of electron micrographs in SARS-CoV-2-infected tissue goes viral. Lancet 2020; 396: e64–e65. doi:10.1016/S0140-6736(20)32079-1
    OpenUrlCrossRef
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Identification of coronavirus particles by electron microscopy requires demonstration of specific ultrastructural features
Carsten Dittmayer, Michael Laue
European Respiratory Journal Sep 2022, 60 (3) 2200266; DOI: 10.1183/13993003.00266-2022

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Identification of coronavirus particles by electron microscopy requires demonstration of specific ultrastructural features
Carsten Dittmayer, Michael Laue
European Respiratory Journal Sep 2022, 60 (3) 2200266; DOI: 10.1183/13993003.00266-2022
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