Evidence map›Paper›PMID 38252647›Full record

ArticlePloS one2024

Ontology-based taxonomical analysis of experimentally verified natural and laboratory human coronavirus hosts and its implication for COVID-19 virus origination and transmission.

Yang Wang, Muhui Ye, Fengwei Zhang, Zachary Thomas Freeman, Hong Yu, Xianwei Ye, Yongqun He

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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

7 authors at 3 institutions in 2 countries.

Yang WangGuizhou University School of Medicine, Guiyang, Guizhou, China.ORCID 0000-0001-5986-9593
Muhui YeChinese University of Hong Kong (Shenzhen), Shenzhen, Guangdong, China.
Fengwei ZhangGuizhou University School of Medicine, Guiyang, Guizhou, China.
Zachary Thomas FreemanUnit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States of America.
Hong YuGuizhou University School of Medicine, Guiyang, Guizhou, China.
Xianwei YeGuizhou University School of Medicine, Guiyang, Guizhou, China.
Yongqun HeUnit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States of America.ORCID 0000-0001-9189-9661
Guizhou University · CNUniversity of Michigan · USChinese University of Hong Kong, Shenzhen · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To fully understand COVID-19, it is critical to study all possible hosts of SARS-CoV-2 (the pathogen of COVID-19). In this work, we collected, annotated, and performed ontology-based taxonomical analysis of all the reported and verified hosts for all human coronaviruses including SARS-CoV, MERS-CoV, SARS-CoV-2, HCoV-229E, HCoV-NL63, HCoV-OC43, and HCoV-HKU1. A total of 37 natural hosts and 19 laboratory animal hosts of human coronaviruses were identified based on experimental evidence. Our analysis found that all the verified susceptible natural and laboratory animals belong to therian mammals. Specifically, these 37 natural therian hosts include one wildlife marsupial mammal (i.e., Virginia opossum) and 36 Eutheria mammals (a.k.a. placental mammals). The 19 laboratory animal hosts are also classified as therian mammals. The mouse models with genetically modified human ACE2 or DPP4 were more susceptible to virulent human coronaviruses with clear symptoms, suggesting the critical role of ACE2 and DPP4 to coronavirus virulence. Coronaviruses became more virulent and adaptive in the mouse hosts after a series of viral passages in the mice, providing clue to the possible coronavirus origination. The Huanan Seafood Wholesale Market animals identified early in the COVID-19 outbreak were also systematically analyzed as possible COVID-19 hosts. To support knowledge standardization and query, the annotated host knowledge was modeled and represented in the Coronavirus Infectious Disease Ontology (CIDO). Based on our and others' findings, we further propose a MOVIE model (i.e., Multiple-Organism viral Variations and Immune Evasion) to address how viral variations in therian animal hosts and the host immune evasion might have led to dynamic COVID-19 pandemic outcomes.

Indexed as

COVID-19MarsupialiaAngiotensin-Converting Enzyme 2AnimalsDipeptidyl Peptidase 4EutheriaFemaleHumansMicePandemicsPlacentaPregnancySARS-CoV-2Angiotensin-Converting Enzyme 2Dipeptidyl Peptidase 4

Identifiers

PMID38252647
PMCPMC10802970
OpenAlexW4391097243

What Socratic 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 Socratic graph.