Multi-omic signatures of sarcoidosis and progression in bronchoalveolar lavage cells.


Journal

Respiratory research
ISSN: 1465-993X
Titre abrégé: Respir Res
Pays: England
ID NLM: 101090633

Informations de publication

Date de publication:
30 Jul 2024
Historique:
received: 16 04 2024
accepted: 18 07 2024
medline: 31 7 2024
pubmed: 31 7 2024
entrez: 31 7 2024
Statut: epublish

Résumé

Sarcoidosis is a heterogeneous granulomatous disease with no accurate biomarkers of disease progression. Therefore, we profiled and integrated the DNA methylome, mRNAs, and microRNAs to identify molecular changes associated with sarcoidosis and disease progression that might illuminate underlying mechanisms of disease and potential biomarkers. Bronchoalveolar lavage cells from 64 sarcoidosis subjects and 16 healthy controls were used. DNA methylation was profiled on Illumina HumanMethylationEPIC arrays, mRNA by RNA-sequencing, and miRNAs by small RNA-sequencing. Linear models were fit to test for effect of sarcoidosis diagnosis and progression phenotype, adjusting for age, sex, smoking, and principal components of the data. We built a supervised multi-omics model using a subset of features from each dataset. We identified 1,459 CpGs, 64 mRNAs, and five miRNAs associated with sarcoidosis versus controls and four mRNAs associated with disease progression. Our integrated model emphasized the prominence of the PI3K/AKT1 pathway, which is important in T cell and mTOR function. Novel immune related genes and miRNAs including LYST, RGS14, SLFN12L, and hsa-miR-199b-5p, distinguished sarcoidosis from controls. Our integrated model also demonstrated differential expression/methylation of IL20RB, ABCC11, SFSWAP, AGBL4, miR-146a-3p, and miR-378b between non-progressive and progressive sarcoidosis. Leveraging the DNA methylome, transcriptome, and miRNA-sequencing in sarcoidosis BAL cells, we detected widespread molecular changes associated with disease, many which are involved in immune response. These molecules may serve as diagnostic/prognostic biomarkers and/or drug targets, although future testing is required for confirmation.

Sections du résumé

BACKGROUND BACKGROUND
Sarcoidosis is a heterogeneous granulomatous disease with no accurate biomarkers of disease progression. Therefore, we profiled and integrated the DNA methylome, mRNAs, and microRNAs to identify molecular changes associated with sarcoidosis and disease progression that might illuminate underlying mechanisms of disease and potential biomarkers.
METHODS METHODS
Bronchoalveolar lavage cells from 64 sarcoidosis subjects and 16 healthy controls were used. DNA methylation was profiled on Illumina HumanMethylationEPIC arrays, mRNA by RNA-sequencing, and miRNAs by small RNA-sequencing. Linear models were fit to test for effect of sarcoidosis diagnosis and progression phenotype, adjusting for age, sex, smoking, and principal components of the data. We built a supervised multi-omics model using a subset of features from each dataset.
RESULTS RESULTS
We identified 1,459 CpGs, 64 mRNAs, and five miRNAs associated with sarcoidosis versus controls and four mRNAs associated with disease progression. Our integrated model emphasized the prominence of the PI3K/AKT1 pathway, which is important in T cell and mTOR function. Novel immune related genes and miRNAs including LYST, RGS14, SLFN12L, and hsa-miR-199b-5p, distinguished sarcoidosis from controls. Our integrated model also demonstrated differential expression/methylation of IL20RB, ABCC11, SFSWAP, AGBL4, miR-146a-3p, and miR-378b between non-progressive and progressive sarcoidosis.
CONCLUSIONS CONCLUSIONS
Leveraging the DNA methylome, transcriptome, and miRNA-sequencing in sarcoidosis BAL cells, we detected widespread molecular changes associated with disease, many which are involved in immune response. These molecules may serve as diagnostic/prognostic biomarkers and/or drug targets, although future testing is required for confirmation.

Identifiants

pubmed: 39080656
doi: 10.1186/s12931-024-02919-7
pii: 10.1186/s12931-024-02919-7
doi:

Substances chimiques

MicroRNAs 0
RNA, Messenger 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

289

Subventions

Organisme : NCATS NIH HHS
ID : UL1TR001082
Pays : United States
Organisme : Foundation for Sarcoidosis Research
ID : 22-505-RFP
Organisme : NHLBI NIH HHS
ID : R01HL140357
Pays : United States
Organisme : National Institute of Environmental Health Sciences,United States
ID : R01ES023826
Organisme : National Institute of Environmental Health Sciences,United States
ID : R01ES023826

Informations de copyright

© 2024. The Author(s).

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Auteurs

Iain R Konigsberg (IR)

Department of Biomedical Informatics, School of Medicine, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA. iain.konigsberg@cuanschutz.edu.

Nancy W Lin (NW)

Division of Environmental and Occupational Health Sciences, Department of Medicine, National Jewish Health, Denver, CO, USA. nlin15@jh.edu.
Division of Pulmonary and Critical Care Sciences, Department of Medicine, School of Medicine, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA. nlin15@jh.edu.
Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA. nlin15@jh.edu.

Shu-Yi Liao (SY)

Division of Environmental and Occupational Health Sciences, Department of Medicine, National Jewish Health, Denver, CO, USA.
Division of Pulmonary and Critical Care Sciences, Department of Medicine, School of Medicine, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA.
Department of Environmental and Occupational Health, Colorado School of Public Health, Aurora, CO, USA.

Cuining Liu (C)

Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA.

Kristyn MacPhail (K)

Division of Environmental and Occupational Health Sciences, Department of Medicine, National Jewish Health, Denver, CO, USA.

Margaret M Mroz (MM)

Division of Environmental and Occupational Health Sciences, Department of Medicine, National Jewish Health, Denver, CO, USA.

Elizabeth Davidson (E)

Department of Biomedical Informatics, School of Medicine, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA.

Clara I Restrepo (CI)

Division of Environmental and Occupational Health Sciences, Department of Medicine, National Jewish Health, Denver, CO, USA.

Sunita Sharma (S)

Division of Pulmonary and Critical Care Sciences, Department of Medicine, School of Medicine, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA.

Li Li (L)

Division of Environmental and Occupational Health Sciences, Department of Medicine, National Jewish Health, Denver, CO, USA.
Division of Pulmonary and Critical Care Sciences, Department of Medicine, School of Medicine, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA.

Lisa A Maier (LA)

Division of Environmental and Occupational Health Sciences, Department of Medicine, National Jewish Health, Denver, CO, USA.
Division of Pulmonary and Critical Care Sciences, Department of Medicine, School of Medicine, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA.
Department of Environmental and Occupational Health, Colorado School of Public Health, Aurora, CO, USA.

Ivana V Yang (IV)

Department of Biomedical Informatics, School of Medicine, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA.
Division of Pulmonary and Critical Care Sciences, Department of Medicine, School of Medicine, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA.

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