Evidence map›Paper›PMID 35310416›Full record

ArticleFrontiers in veterinary science2022

Anthropogenic Infection of Domestic Cats With SARS-CoV-2 Alpha Variant B.1.1.7 Lineage in Buenos Aires.

Andrea Pecora, Dario Amilcar Malacari, Marina Valeria Mozgovoj, María de Los Ángeles Díaz, Andrea Verónica Peralta, Marco Cacciabue, Andrea Fabiana Puebla, Cristian Carusso, Silvia Leonor Mundo, María Mora Gonzalez Lopez Ledesma and 5 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. SARS-CoV-2 transmission from infected owner to household dogs and cats is associated with food sharing.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  8. Review
  9. Low serological rate of SARS-CoV-2 in cats from military bases in Israel.Comparative immunology, microbiology and infectious diseases
    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

15 authors.

Andrea PecoraCentro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto de Virología e Innovaciones Tecnológicas, Instituto Nacional de Tecnología Agropecuaria (INTA)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Dario Amilcar MalacariDiagnogen S.A., Buenos Aires, Argentina.
Marina Valeria MozgovojInstituto de Biotecnología, Universidad Nacional de Hurlingham, Buenos Aires, Argentina.
María de Los Ángeles DíazSecretaria de Salud de la Municipalidad de la Matanza, Ministerio de Salud, Buenos Aires, Argentina.
Andrea Verónica PeraltaCentro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto de Agrobiotecnología y Biología Molecular, Instituto Nacional de Tecnología Agropecuaria (INTA)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Marco CacciabueCentro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto de Agrobiotecnología y Biología Molecular, Instituto Nacional de Tecnología Agropecuaria (INTA)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Andrea Fabiana PueblaCentro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto de Agrobiotecnología y Biología Molecular, Instituto Nacional de Tecnología Agropecuaria (INTA)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Cristian CarussoFacultad de Ciencias Veterinarias, Universidad de Buenos Aires, Buenos Aires, Argentina.
Silvia Leonor MundoFacultad de Ciencias Veterinarias, Universidad de Buenos Aires, Buenos Aires, Argentina.
María Mora Gonzalez Lopez LedesmaInstituto de Investigaciones Bioquímicas de Buenos Aires (IIBBA, CONICET-Fundación Instituto Leloir), Buenos Aires, Argentina.
Andrea Vanesa GamarnikInstituto de Investigaciones Bioquímicas de Buenos Aires (IIBBA, CONICET-Fundación Instituto Leloir), Buenos Aires, Argentina.
Osvaldo RinaldiVeterinaria Rinaldi Vidal, Buenos Aires, Argentina.
Osvaldo VidalVeterinaria Rinaldi Vidal, Buenos Aires, Argentina.
Javier MasDiagnogen S.A., Buenos Aires, Argentina.
María José Dus SantosCentro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto de Virología e Innovaciones Tecnológicas, Instituto Nacional de Tecnología Agropecuaria (INTA)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 reverse zoonosis, particularly to domestic animals, and the potential role of infected animals in perpetuating the spread of the virus is an issue of increasing concern. In this case report, we identified the natural infection of two cats by SARS-CoV-2, in Argentina, whose owner had been previously infected by SARS-CoV-2. Viral genetic material was detected in feline oropharyngeal (OP) and rectal (R) swab by RT-qPCR, and sequence analysis revealed that the virus infecting the owner and one cat were genetically similar. The alpha variant (B.1.1.7 lineage) was identified with a unique additional mutation, strongly suggesting human-to-cat route of transmission. This study reinforces the One Health concept and the importance of integrating human, animal, and environmental perspectives to promptly address relevant health issues.

Indexed as

catsCOVID-19One Healthreverse zoonosisSARS-CoV-2

Identifiers

PMID35310416
PMCPMC8925007

What OpenQuestion 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 OpenQuestion graph.