Evidence map›Paper›PMID 33130519›Full record

ReviewImmunobiology2020

Host-pathogen interaction in COVID-19: Pathogenesis, potential therapeutics and vaccination strategies.

Praveen Mathews Varghese, Anthony G Tsolaki, Hadida Yasmin, Abhishek Shastri, Janez Ferluga, Manu Vatish, Taruna Madan, Uday Kishore

Open access · greenAbstract readReview
In one paragraph

Review in Immunobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Innate Immune Response to Viral Infection.Advances in experimental medicine and biology · 2025
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Drug repositioningFrontiers in oncology · 2023
    Article
  17. SARS-CoV-2 in brief: from virus to prevention.Osong public health and research perspectives · 2022
    Article
  18. Article
  19. Article
  20. Article
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

8 authors at 5 institutions in 2 countries.

Praveen Mathews VargheseBiosciences, College of Health and Life Sciences, Brunel University London, Uxbridge UB8 3PH, London, United Kingdom; School of Biosciences and Technology, Vellore Institute of Technology, Vellore, India.
Anthony G TsolakiBiosciences, College of Health and Life Sciences, Brunel University London, Uxbridge UB8 3PH, London, United Kingdom.
Hadida YasminImmunology and Cell Biology Laboratory, Department of Zoology, Cooch Behar Panchanan Barma University, Cooch Behar, West Bengal, India.
Abhishek ShastriCentral and North West London NHS Foundation Trust, London, United Kingdom.
Janez FerlugaBiosciences, College of Health and Life Sciences, Brunel University London, Uxbridge UB8 3PH, London, United Kingdom.
Manu VatishDepartment of Obstetrics and Gynaecology, Women's Centre, John Radcliffe Oxford University Hospital, Oxford, OX3 9DU, United Kingdom.
Taruna MadanDepartment of Innate Immunity, ICMR - National Institute for Research in Reproductive Health, J.M. Street, Parel, Mumbai, Maharashtra, India.
Uday KishoreBiosciences, College of Health and Life Sciences, Brunel University London, Uxbridge UB8 3PH, London, United Kingdom. Electronic address: Uday.Kishore@brunel.ac.uk.
Brunel University of London · GBCentral and North West London NHS Foundation Trust · GBCooch Behar Panchanan Barma University · INNational Institute for Research in Reproductive Health · INUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current coronavirus pandemic, COVID-19, is the third outbreak of disease caused by the coronavirus family, after Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome. It is an acute infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). This severe disease is characterised by acute respiratory distress syndrome, septic shock, metabolic acidosis, coagulation dysfunction, and multiple organ dysfunction syndromes. Currently, no drugs or vaccines exist against the disease and the only course of treatment is symptom management involving mechanical ventilation, immune suppressants, and repurposed drugs. The severe form of the disease has a relatively high mortality rate. The last six months have seen an explosion of information related to the host receptors, virus transmission, virus structure-function relationships, pathophysiology, co-morbidities, immune response, treatment and the most promising vaccines. This review takes a critically comprehensive look at various aspects of the host-pathogen interaction in COVID-19. We examine the genomic aspects of SARS-CoV-2, modulation of innate and adaptive immunity, complement-triggered microangiopathy, and host transmission modalities. We also examine its pathophysiological impact during pregnancy, in addition to emphasizing various gaps in our knowledge. The lessons learnt from various clinical trials involving repurposed drugs have been summarised. We also highlight the rationale and likely success of the most promising vaccine candidates.

Indexed as

Adaptive ImmunityCOVID-19Host-Pathogen InteractionsHumansImmunity, InnateSARS-CoV-2VaccinationViral VaccinesVirulenceVirus ReplicationViral VaccinesAnti-viralsCo-morbiditiesCOVID-19Life-cyclePathophysiologyPregnancySARS-CoV-2Vaccine

Identifiers

PMID33130519
PMCPMC7434692
OpenAlexW3079498584

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.