Evidence map›Paper›PMID 33196989›Full record

ArticleCell stress & chaperones2021

Covid-19, heat shock proteins, and autoimmune bullous diseases: a potential link deserving further attention.

Michael Kasperkiewicz

Open access · hybridAbstract readLetterComment
In one paragraph

Article in Cell stress & chaperones, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Epidemiology and Etiopathogeny of COVID-19.Advances in experimental medicine and biology · 2021
    Pooled it
  2. Targeting proteostasis pathways for cancer therapy.Journal of pharmaceutical analysis · 2025
    Review
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  11. SARS-CoV-2-Specific Immune Response and the Pathogenesis of COVID-19.International journal of molecular sciences · 2022
    Review
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  20. Frontiers in pharmacology · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Michael KasperkiewiczDepartment of Dermatology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Michael.Kasperkiewicz@med.usc.edu.ORCID 0000-0003-0146-1661
University of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A link between Covid-19 and development of autoimmunity has been reported. A possible explanation could be molecular mimicry between SARS-CoV-2 and human proteins. Peptide sharing has been found between antigenic epitopes of this virus and heat shock proteins (Hsp) 60 and 90, both of which are associated with autoimmune diseases including those of the bullous type. In particular, there is evidence for the latter Hsp acting as a pathophysiological factor and treatment target in autoimmune blistering dermatoses. Considering multimodal anti-inflammatory mechanisms of action of anti-Hsp90 treatment and drug repositioning results, it may be hypothesized that Hsp90 inhibition could also be a treatment option for cytokine storm-mediated acute respiratory distress syndrome in Covid-19 patients. Hence, although Covid-19-induced autoimmune bullous diseases have not been described in the literature so far, the potential relationship between Covid-19, Hsp, and these autoimmune disorders deserves further attention with respect to both pathophysiology and treatment.

Indexed as

Autoimmune DiseasesCOVID-19Guillain-Barre SyndromeAttentionHeat-Shock ProteinsHumansMolecular MimicrySARS-CoV-2Heat-Shock ProteinsAutoimmunityCovid-19Heat shock proteinsSARS-CoV-2

Identifiers

PMID33196989
PMCPMC7667470
OpenAlexW3099163672

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.