Evidence map›Paper›PMID 37786724›Full record

ArticlebioRxiv : the preprint server for biology2023

Cross-species transmission and PB2 mammalian adaptations of highly pathogenic avian influenza A/H5N1 viruses in Chile.

Catalina Pardo-Roa, Martha I Nelson, Naomi Ariyama, Carolina Aguayo, Leonardo I Almonacid, Gabriela Munoz, Carlos Navarro, Claudia Avila, Mauricio Ulloa, Rodolfo Reyes and 11 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 7 institutions in 3 countries.

Catalina Pardo-RoaDepartment of Child and Adolescent Health, School of Nursing, Pontificia Universidad Católica de Chile, Santiago, Chile.
Martha I NelsonNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20892, USA.
Naomi AriyamaDepartamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile. 11735 Santa Rosa, La Pintana, Santiago, Chile.
Carolina AguayoServicio Agrícola y Ganadero, SAG, Chile.
Leonardo I AlmonacidMolecular Bioinformatics Laboratory, Department of Molecular Genetics and Microbiology, Faculty of Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile.
Gabriela MunozServicio Agrícola y Ganadero, SAG, Chile.
Carlos NavarroServicio Nacional de Pesca y Acuicultura, SERNAPESCA, Chile.
Claudia AvilaServicio Agrícola y Ganadero, SAG, Chile.
Mauricio UlloaServicio Nacional de Pesca y Acuicultura, SERNAPESCA, Chile.
Rodolfo ReyesVeterinary Histology and Pathology, Institute of Animal Health and Food Safety, Veterinary School, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
Eugenia Fuentes LuppichiniDepartment of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Christian MathieuServicio Agrícola y Ganadero, SAG, Chile.
Ricardo VergaraServicio Agrícola y Ganadero, SAG, Chile.
Álvaro GonzálezServicio Agrícola y Ganadero, SAG, Chile.
Carmen Gloria GonzálezServicio Agrícola y Ganadero, SAG, Chile.
Hugo ArayaServicio Agrícola y Ganadero, SAG, Chile.
Jorge FernándezInstituto de Salud Pública, ISP, Ministerio de Salud, Santiago, Chile.
Rodrigo FasceInstituto de Salud Pública, ISP, Ministerio de Salud, Santiago, Chile.
Magdalena JohowServicio Agrícola y Ganadero, SAG, Chile.
Rafael A MedinaDepartment of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Victor NeiraDepartamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile. 11735 Santa Rosa, La Pintana, Santiago, Chile.
Agriaquaculture Nutritional Genomic Center · CLPontificia Universidad Católica de Chile · CLInstituto de Salud Pública de Chile · CLUniversidad de Las Palmas de Gran Canaria · ESUniversity of Chile · CLEmory University · USNational Institutes of Health · US

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00014 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GARCIA-SASTRE, ADOLFO · 2021 to 2025
$62.6M
NIAID NIH HHS 75N93021C00014
6 · The paper itself

Abstract

H5N1 highly pathogenic avian influenza viruses (HPAIV) emerged in wild birds in Chile in December 2022 and spilled over into poultry, marine mammals, and one human. Between December 9, 2022 - March 14, 2023, a coordinated government/academic response detected HPAIV by real-time RT-PCR in 8.5% (412/4735) of samples from 23 avian and 3 mammal orders. Whole-genome sequences obtained from 77 birds and 8 marine mammals revealed that all Chilean H5N1 viruses belong to lineage 2.3.4.4b and cluster monophyletically with viruses from Peru, indicating a single introduction from North America into Peru/Chile. Mammalian adaptations were identified in the PB2 segment: D701N in two sea lions, one human, and one shorebird, and Q591K in the human and one sea lion. Minor variant analysis revealed that D701N was present in 52.9 - 70.9% of sequence reads, indicating the presence of both genotypes within hosts. Further surveillance of spillover events is warranted to assess the emergence and potential onward transmission of mammalian adapted H5N1 HPAIV in South America.

Indexed as

ChileGenomic SurveillanceH5N1HPAIVInterspecies transmissionMarine MammalsPanzooticZoonotic

Identifiers

PMID37786724
PMCPMC10541606
OpenAlexW4382796396

What OpenQuestion holds

Textmetadata
LicenceCC0
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.