Airborne fine particulate matter exposure induces transcriptomic alterations resembling asthmatic signatures: insights from integrated omics analysis
- Autores
- González, Daniel; Infante, Alexis; López, Liliana; Ceschin, Danilo Guillermo; Fernández Sanchez, María José; Cañas, Alejandra; Zafra-Mejía, Carlos; Rojas, Adriana
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Fine particulate matter (PM2.5), an atmospheric pollutant that settles deep in the respiratory tract, is highly harmful to human health. Despite its well-known impact on lung function and its ability to exacerbate asthma, the molecular basis of this effect is not fully understood. This integrated transcriptomic and epigenomic data analysis from publicly available datasets aimed to determine the impact of PM2.5 exposure and its association with asthma in human airway epithelial cells. Differential gene expression and binding analyses identified 349 common differentially expressed genes and genes associated with differentially enriched H3K27ac regions in both conditions. Co-expression network analysis revealed three preserved modules (Protein Folding, Cell Migration, and Hypoxia Response) significantly correlated with PM2.5 exposure and preserved in asthma networks. Pathways dysregulated in both conditions included epithelial function, hypoxia response, interleukin-17 and TNF signaling, and immune/inflammatory processes. Hub genes like TGFB2, EFNA5, and PFKFB3 were implicated in airway remodeling, cell migration, and hypoxia-induced glycolysis. These findings elucidate common altered expression patterns and processes between PM2.5 exposure and asthma, helping to understand their molecular connection. This provides guidance for future research to utilize them as potential biomarkers or therapeutic targets and generates evidence supporting the need for implementing effective air quality management strategies.
Fil: González, Daniel. Pontificia Universidad Javeriana; Colombia
Fil: Infante, Alexis. Universidad Nacional de Colombia; Colombia
Fil: López, Liliana. Universidad Nacional de Colombia; Colombia
Fil: Ceschin, Danilo Guillermo. Instituto Universitario de Ciencias Biomédicas de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Fernández Sanchez, María José. Pontificia Universidad Javeriana; Colombia
Fil: Cañas, Alejandra. Pontificia Universidad Javeriana; Colombia
Fil: Zafra-Mejía, Carlos. Pontificia Universidad Javeriana; Colombia
Fil: Rojas, Adriana. Pontificia Universidad Javeriana; Colombia - Materia
-
environment
epigenetics
transcriptome
air pollution;
asthma
risk factor - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/269331
Ver los metadatos del registro completo
id |
CONICETDig_e0cb2bf531a190395344d7dda5c7066b |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/269331 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Airborne fine particulate matter exposure induces transcriptomic alterations resembling asthmatic signatures: insights from integrated omics analysisGonzález, DanielInfante, AlexisLópez, LilianaCeschin, Danilo GuillermoFernández Sanchez, María JoséCañas, AlejandraZafra-Mejía, CarlosRojas, Adrianaenvironmentepigeneticstranscriptomeair pollution;asthmarisk factorhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Fine particulate matter (PM2.5), an atmospheric pollutant that settles deep in the respiratory tract, is highly harmful to human health. Despite its well-known impact on lung function and its ability to exacerbate asthma, the molecular basis of this effect is not fully understood. This integrated transcriptomic and epigenomic data analysis from publicly available datasets aimed to determine the impact of PM2.5 exposure and its association with asthma in human airway epithelial cells. Differential gene expression and binding analyses identified 349 common differentially expressed genes and genes associated with differentially enriched H3K27ac regions in both conditions. Co-expression network analysis revealed three preserved modules (Protein Folding, Cell Migration, and Hypoxia Response) significantly correlated with PM2.5 exposure and preserved in asthma networks. Pathways dysregulated in both conditions included epithelial function, hypoxia response, interleukin-17 and TNF signaling, and immune/inflammatory processes. Hub genes like TGFB2, EFNA5, and PFKFB3 were implicated in airway remodeling, cell migration, and hypoxia-induced glycolysis. These findings elucidate common altered expression patterns and processes between PM2.5 exposure and asthma, helping to understand their molecular connection. This provides guidance for future research to utilize them as potential biomarkers or therapeutic targets and generates evidence supporting the need for implementing effective air quality management strategies.Fil: González, Daniel. Pontificia Universidad Javeriana; ColombiaFil: Infante, Alexis. Universidad Nacional de Colombia; ColombiaFil: López, Liliana. Universidad Nacional de Colombia; ColombiaFil: Ceschin, Danilo Guillermo. Instituto Universitario de Ciencias Biomédicas de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Fernández Sanchez, María José. Pontificia Universidad Javeriana; ColombiaFil: Cañas, Alejandra. Pontificia Universidad Javeriana; ColombiaFil: Zafra-Mejía, Carlos. Pontificia Universidad Javeriana; ColombiaFil: Rojas, Adriana. Pontificia Universidad Javeriana; ColombiaOxford University Press2025-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/269331González, Daniel; Infante, Alexis; López, Liliana; Ceschin, Danilo Guillermo; Fernández Sanchez, María José; et al.; Airborne fine particulate matter exposure induces transcriptomic alterations resembling asthmatic signatures: insights from integrated omics analysis; Oxford University Press; Environmental Epigenetics; 11; 1; 2-2025; 1-172058-5888CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/eep/article/doi/10.1093/eep/dvae026/7941693info:eu-repo/semantics/altIdentifier/doi/10.1093/eep/dvae026info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:06:17Zoai:ri.conicet.gov.ar:11336/269331instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:06:17.915CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Airborne fine particulate matter exposure induces transcriptomic alterations resembling asthmatic signatures: insights from integrated omics analysis |
title |
Airborne fine particulate matter exposure induces transcriptomic alterations resembling asthmatic signatures: insights from integrated omics analysis |
spellingShingle |
Airborne fine particulate matter exposure induces transcriptomic alterations resembling asthmatic signatures: insights from integrated omics analysis González, Daniel environment epigenetics transcriptome air pollution; asthma risk factor |
title_short |
Airborne fine particulate matter exposure induces transcriptomic alterations resembling asthmatic signatures: insights from integrated omics analysis |
title_full |
Airborne fine particulate matter exposure induces transcriptomic alterations resembling asthmatic signatures: insights from integrated omics analysis |
title_fullStr |
Airborne fine particulate matter exposure induces transcriptomic alterations resembling asthmatic signatures: insights from integrated omics analysis |
title_full_unstemmed |
Airborne fine particulate matter exposure induces transcriptomic alterations resembling asthmatic signatures: insights from integrated omics analysis |
title_sort |
Airborne fine particulate matter exposure induces transcriptomic alterations resembling asthmatic signatures: insights from integrated omics analysis |
dc.creator.none.fl_str_mv |
González, Daniel Infante, Alexis López, Liliana Ceschin, Danilo Guillermo Fernández Sanchez, María José Cañas, Alejandra Zafra-Mejía, Carlos Rojas, Adriana |
author |
González, Daniel |
author_facet |
González, Daniel Infante, Alexis López, Liliana Ceschin, Danilo Guillermo Fernández Sanchez, María José Cañas, Alejandra Zafra-Mejía, Carlos Rojas, Adriana |
author_role |
author |
author2 |
Infante, Alexis López, Liliana Ceschin, Danilo Guillermo Fernández Sanchez, María José Cañas, Alejandra Zafra-Mejía, Carlos Rojas, Adriana |
author2_role |
author author author author author author author |
dc.subject.none.fl_str_mv |
environment epigenetics transcriptome air pollution; asthma risk factor |
topic |
environment epigenetics transcriptome air pollution; asthma risk factor |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Fine particulate matter (PM2.5), an atmospheric pollutant that settles deep in the respiratory tract, is highly harmful to human health. Despite its well-known impact on lung function and its ability to exacerbate asthma, the molecular basis of this effect is not fully understood. This integrated transcriptomic and epigenomic data analysis from publicly available datasets aimed to determine the impact of PM2.5 exposure and its association with asthma in human airway epithelial cells. Differential gene expression and binding analyses identified 349 common differentially expressed genes and genes associated with differentially enriched H3K27ac regions in both conditions. Co-expression network analysis revealed three preserved modules (Protein Folding, Cell Migration, and Hypoxia Response) significantly correlated with PM2.5 exposure and preserved in asthma networks. Pathways dysregulated in both conditions included epithelial function, hypoxia response, interleukin-17 and TNF signaling, and immune/inflammatory processes. Hub genes like TGFB2, EFNA5, and PFKFB3 were implicated in airway remodeling, cell migration, and hypoxia-induced glycolysis. These findings elucidate common altered expression patterns and processes between PM2.5 exposure and asthma, helping to understand their molecular connection. This provides guidance for future research to utilize them as potential biomarkers or therapeutic targets and generates evidence supporting the need for implementing effective air quality management strategies. Fil: González, Daniel. Pontificia Universidad Javeriana; Colombia Fil: Infante, Alexis. Universidad Nacional de Colombia; Colombia Fil: López, Liliana. Universidad Nacional de Colombia; Colombia Fil: Ceschin, Danilo Guillermo. Instituto Universitario de Ciencias Biomédicas de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina Fil: Fernández Sanchez, María José. Pontificia Universidad Javeriana; Colombia Fil: Cañas, Alejandra. Pontificia Universidad Javeriana; Colombia Fil: Zafra-Mejía, Carlos. Pontificia Universidad Javeriana; Colombia Fil: Rojas, Adriana. Pontificia Universidad Javeriana; Colombia |
description |
Fine particulate matter (PM2.5), an atmospheric pollutant that settles deep in the respiratory tract, is highly harmful to human health. Despite its well-known impact on lung function and its ability to exacerbate asthma, the molecular basis of this effect is not fully understood. This integrated transcriptomic and epigenomic data analysis from publicly available datasets aimed to determine the impact of PM2.5 exposure and its association with asthma in human airway epithelial cells. Differential gene expression and binding analyses identified 349 common differentially expressed genes and genes associated with differentially enriched H3K27ac regions in both conditions. Co-expression network analysis revealed three preserved modules (Protein Folding, Cell Migration, and Hypoxia Response) significantly correlated with PM2.5 exposure and preserved in asthma networks. Pathways dysregulated in both conditions included epithelial function, hypoxia response, interleukin-17 and TNF signaling, and immune/inflammatory processes. Hub genes like TGFB2, EFNA5, and PFKFB3 were implicated in airway remodeling, cell migration, and hypoxia-induced glycolysis. These findings elucidate common altered expression patterns and processes between PM2.5 exposure and asthma, helping to understand their molecular connection. This provides guidance for future research to utilize them as potential biomarkers or therapeutic targets and generates evidence supporting the need for implementing effective air quality management strategies. |
publishDate |
2025 |
dc.date.none.fl_str_mv |
2025-02 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/269331 González, Daniel; Infante, Alexis; López, Liliana; Ceschin, Danilo Guillermo; Fernández Sanchez, María José; et al.; Airborne fine particulate matter exposure induces transcriptomic alterations resembling asthmatic signatures: insights from integrated omics analysis; Oxford University Press; Environmental Epigenetics; 11; 1; 2-2025; 1-17 2058-5888 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/269331 |
identifier_str_mv |
González, Daniel; Infante, Alexis; López, Liliana; Ceschin, Danilo Guillermo; Fernández Sanchez, María José; et al.; Airborne fine particulate matter exposure induces transcriptomic alterations resembling asthmatic signatures: insights from integrated omics analysis; Oxford University Press; Environmental Epigenetics; 11; 1; 2-2025; 1-17 2058-5888 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/eep/article/doi/10.1093/eep/dvae026/7941693 info:eu-repo/semantics/altIdentifier/doi/10.1093/eep/dvae026 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Oxford University Press |
publisher.none.fl_str_mv |
Oxford University Press |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1844613909520056320 |
score |
13.070432 |