Evidence map›Paper›PMID 39509382›Full record

ArticlePLOS global public health2024

Assessment of airborne bacteria from a public health institution in Mexico City.

Maria Carmen Calderón-Ezquerro, Alfredo Ponce de León A, Carolina Brunner-Mendoza, César Guerrero-Guerra C, Alejandro Sanchez-Flores, Ilse Salinas-Peralta, Luis Esau López Jacome, Claudia Adriana Colín Castro C, María Guadalupe Martínez Zavaleta

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Maria Carmen Calderón-EzquerroDepartamento de Ciencias Ambientales, Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM, Mexico City, México.
Alfredo Ponce de León ADepartamento de Infectología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, México.ORCID https://orcid.org/0000-0003-2640-2916
Carolina Brunner-MendozaFacultad de Medicina, Departamento de Microbiología y Parasitología, UNAM, Mexico City, México.
César Guerrero-Guerra CDepartamento de Ciencias Ambientales, Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM, Mexico City, México.
Alejandro Sanchez-FloresInstituto de Biotecnología, Unidad Universitaria de Secuenciación Masiva y Bioinformática, UNAM, Morelos, México.ORCID https://orcid.org/0000-0003-0476-3139
Ilse Salinas-PeraltaInstituto de Biotecnología, Unidad Universitaria de Secuenciación Masiva y Bioinformática, UNAM, Morelos, México.
Luis Esau López JacomeLaboratorio de Microbiología Clínica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City, México.ORCID https://orcid.org/0000-0001-7387-0937
Claudia Adriana Colín Castro CLaboratorio de Microbiología Clínica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City, México.
María Guadalupe Martínez ZavaletaLaboratorio de Microbiología Clínica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, the composition of the bacterial community in the air of a hospital in Mexico City was evaluated using metabarcoding and proteomics approaches, along with the assessment of environmental factors such as temperature, humidity, and suspended particles. Two types of aerobiological samplers were used: Andersen One-Stage Viable Particle Sampler (AVPS) and Coriolis μ sampler (CμS-Sampler). Sampling was performed in four areas of the hospital: Floor 1 (F1), Floor 2 (F2), and Emergency Unit (EU), as well as outdoors (OH). The use of both samplers showed variations in diversity and composition. Bacterial abundance was 89.55% with the CμS-Sampler and 74.00% with the AVPS. The predominant phyla with the AVPS were Firmicutes, Proteobacteria and Actinobacteria, while with the CμS-Sampler, the main phyla were Proteobacteria, followed by Actinobacteria and Firmicutes. The highest diversity and richness of bacteria was recorded in F1 and F2, with 32 species identified, with a greater number within the hospital. Potentially pathogenic bacteria such as Bacillus spp., B. cereus, B. pumilus, Clostridium spp., Enterococcus gallinarum, Micrococcus luteus and Staphylococcus spp. were detected. Furthermore, a high concentration of particles between 2.5 μm and 10 μm, and Total Particulate Matter (TPM) was observed, with values of TPM, 303 μg/m3 in F1, 195 μg/m3 in F2, 235 μg/m3 in EU and 188 μg/m3 in OH. Temperatures averaged between 26 and 27°C, and relative humidity ranged between 39.8 and 43.5%. These environmental conditions and particulate matter can promote bacterial growth and their dispersion in the air, constituting a continuous risk of exposure to pathogens, mainly in indoor areas of the hospital. This study provides a framework for air monitoring, where the results of different samplers complement the detection of potential pathogens.

Identifiers

PMID39509382
PMCPMC11542838

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LicenceCC BY
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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.