Evidence map›Paper›PMID 39160186›Full record

ArticleScientific reports2024

The integrated genomic surveillance system of Andalusia (SIEGA) provides a One Health regional resource connected with the clinic.

Carlos S Casimiro-Soriguer, Javier Pérez-Florido, Enrique A Robles, María Lara, Andrea Aguado, Manuel A Rodríguez Iglesias, José A Lepe, Federico García, Mónica Pérez-Alegre, Eloísa Andújar and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

18 authors.

Carlos S Casimiro-SoriguerAndalusian Platform for Computational Medicine, Andalusian Public Foundation Progress and Health-FPS, Seville, Spain.
Javier Pérez-FloridoAndalusian Platform for Computational Medicine, Andalusian Public Foundation Progress and Health-FPS, Seville, Spain.
Enrique A RoblesAndalusian Platform for Computational Medicine, Andalusian Public Foundation Progress and Health-FPS, Seville, Spain.
María LaraAndalusian Platform for Computational Medicine, Andalusian Public Foundation Progress and Health-FPS, Seville, Spain.
Andrea AguadoAndalusian Platform for Computational Medicine, Andalusian Public Foundation Progress and Health-FPS, Seville, Spain.
Manuel A Rodríguez IglesiasServicio de Microbiología. Hospital Universitario Puerta del Mar, 11009, Cádiz, Spain.
José A LepeInstitute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of Seville, 41013, Seville, Spain.
Federico GarcíaCentro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIII, Madrid, Spain.
Mónica Pérez-AlegreGenomic Unit, Andalusian Molecular Biology and Regenerative Medicine Center (CABIMER), CSIC University of Seville University Pablo de Olavide, Seville, Spain.
Eloísa AndújarGenomic Unit, Andalusian Molecular Biology and Regenerative Medicine Center (CABIMER), CSIC University of Seville University Pablo de Olavide, Seville, Spain.
Victoria E JiménezGenomic Unit, Andalusian Molecular Biology and Regenerative Medicine Center (CABIMER), CSIC University of Seville University Pablo de Olavide, Seville, Spain.
Lola P CaminoGenomic Unit, Andalusian Molecular Biology and Regenerative Medicine Center (CABIMER), CSIC University of Seville University Pablo de Olavide, Seville, Spain.
Nicola LorusoDirección General de Salud Pública y Ordenación Farmacéutica, Consejería de Salud y Consumo- Junta de Andalucía, Seville, Spain.
Ulises AmeyugoDirección General de Salud Pública y Ordenación Farmacéutica, Consejería de Salud y Consumo- Junta de Andalucía, Seville, Spain.
Isabel María VazquezDirección General de Salud Pública y Ordenación Farmacéutica, Consejería de Salud y Consumo- Junta de Andalucía, Seville, Spain.
Carlota M LozanoDirección General de Salud Pública y Ordenación Farmacéutica, Consejería de Salud y Consumo- Junta de Andalucía, Seville, Spain.
J Alberto ChavesDirección General de Salud Pública y Ordenación Farmacéutica, Consejería de Salud y Consumo- Junta de Andalucía, Seville, Spain.
Joaquin DopazoAndalusian Platform for Computational Medicine, Andalusian Public Foundation Progress and Health-FPS, Seville, Spain. joaquin.dopazo@juntadeandalucia.es.

Funding

Consejería de Salud y Consumo, Junta de Andalucía COVID-0012-2020H2020 Research Infrastructures AMD-871075-16Instituto de Salud Carlos III IMP/00019Ministerio de Ciencia e Innovación FJC2021-046546-I
6 · The paper itself

Abstract

The One Health approach, recognizing the interconnectedness of human, animal, and environmental health, has gained significance amid emerging zoonotic diseases and antibiotic resistance concerns. This paper aims to demonstrate the utility of a collaborative tool, the SIEGA, for monitoring infectious diseases across domains, fostering a comprehensive understanding of disease dynamics and risk factors, highlighting the pivotal role of One Health surveillance systems. Raw whole-genome sequencing is processed through different species-specific open software that additionally reports the presence of genes associated to anti-microbial resistances and virulence. The SIEGA application is a Laboratory Information Management System, that allows customizing reports, detect transmission chains, and promptly alert on alarming genetic similarities. The SIEGA initiative has successfully accumulated a comprehensive collection of more than 1900 bacterial genomes, including Salmonella enterica, Listeria monocytogenes, Campylobacter jejuni, Escherichia coli, Yersinia enterocolitica and Legionella pneumophila, showcasing its potential in monitoring pathogen transmission, resistance patterns, and virulence factors. SIEGA enables customizable reports and prompt detection of transmission chains, highlighting its contribution to enhancing vigilance and response capabilities. Here we show the potential of genomics in One Health surveillance when supported by an appropriate bioinformatic tool. By facilitating precise disease control strategies and antimicrobial resistance management, SIEGA enhances global health security and reduces the burden of infectious diseases. The integration of health data from humans, animals, and the environment, coupled with advanced genomics, underscores the importance of a holistic One Health approach in mitigating health threats.

Indexed as

GenomicsOne HealthAnimalsDrug Resistance, BacterialGenome, BacterialHumansVirulence FactorsWhole Genome SequencingVirulence FactorsAMREpidemiologyOne healthResistancesSurveillanceWhole genome sequencing

Identifiers

PMID39160186
PMCPMC11333592

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.