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Microbial dysbiosis and the host airway epithelial response: insights into HIV-associated COPD using multi’omics profiling

BACKGROUND: People living with HIV (PLWH) are at increased risk of developing Chronic Obstructive Pulmonary Disease (COPD) independent of cigarette smoking. We hypothesized that dysbiosis in PLWH is associated with epigenetic and transcriptomic disruptions in the airway epithelium. METHODS: Airway e...

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Detalles Bibliográficos
Autores principales: Jude, Marcia Smiti, Yang, Chen Xi, Filho, Fernando Studart Leitao, Hernandez Cordero, Ana I., Yang, Julia, Shaipanich, Tawimas, Li, Xuan, Lin, David, MacIsaac, Julie, Kobor, Michael S., Sinha, Sunita, Nislow, Corey, Singh, Amrit, Lam, Wan, Lam, Stephen, Guillemi, Silvia, Harris, Marianne, Montaner, Julio, Ng, Raymond T., Carlsten, Christopher, Paul Man, S. F., Sin, Don D., Leung, Janice M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161506/
https://www.ncbi.nlm.nih.gov/pubmed/37143066
http://dx.doi.org/10.1186/s12931-023-02431-4
Descripción
Sumario:BACKGROUND: People living with HIV (PLWH) are at increased risk of developing Chronic Obstructive Pulmonary Disease (COPD) independent of cigarette smoking. We hypothesized that dysbiosis in PLWH is associated with epigenetic and transcriptomic disruptions in the airway epithelium. METHODS: Airway epithelial brushings were collected from 18 COPD + HIV + , 16 COPD − HIV + , 22 COPD + HIV − and 20 COPD – HIV − subjects. The microbiome, methylome, and transcriptome were profiled using 16S sequencing, Illumina Infinium Methylation EPIC chip, and RNA sequencing, respectively. Multi ‘omic integration was performed using Data Integration Analysis for Biomarker discovery using Latent cOmponents. A correlation > 0.7 was used to identify key interactions between the ’omes. RESULTS: The COPD + HIV −, COPD −HIV + , and COPD + HIV + groups had reduced Shannon Diversity (p = 0.004, p = 0.023, and p = 5.5e−06, respectively) compared to individuals with neither COPD nor HIV, with the COPD + HIV + group demonstrating the most reduced diversity. Microbial communities were significantly different between the four groups (p = 0.001). Multi ‘omic integration identified correlations between Bacteroidetes Prevotella, genes FUZ, FASTKD3, and ACVR1B, and epigenetic features CpG-FUZ and CpG-PHLDB3. CONCLUSION: PLWH with COPD manifest decreased diversity and altered microbial communities in their airway epithelial microbiome. The reduction in Prevotella in this group was linked with epigenetic and transcriptomic disruptions in host genes including FUZ, FASTKD3, and ACVR1B. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02431-4.