1
|
Mumby S, Adcock IM. Recent evidence from omic analysis for redox signalling and mitochondrial oxidative stress in COPD. J Inflamm (Lond) 2022; 19:10. [PMID: 35820851 PMCID: PMC9277949 DOI: 10.1186/s12950-022-00308-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 06/27/2022] [Indexed: 11/30/2022] Open
Abstract
COPD is driven by exogenous and endogenous oxidative stress derived from inhaled cigarette smoke, air pollution and reactive oxygen species from dysregulated mitochondria in activated inflammatory cells within the airway and lung. This is compounded by the loss in antioxidant defences including FOXO and NRF2 and other antioxidant transcription factors together with various key enzymes that attenuate oxidant effects. Oxidative stress enhances inflammation; airway remodelling including fibrosis and emphysema; post-translational protein modifications leading to autoantibody generation; DNA damage and cellular senescence. Recent studies using various omics technologies in the airways, lungs and blood of COPD patients has emphasised the importance of oxidative stress, particularly that derived from dysfunctional mitochondria in COPD and its role in immunity, inflammation, mucosal barrier function and infection. Therapeutic interventions targeting oxidative stress should overcome the deleterious pathologic effects of COPD if targeted to the lung. We require novel, more efficacious antioxidant COPD treatments among which mitochondria-targeted antioxidants and Nrf2 activators are promising.
Collapse
|
2
|
Fidler G, Szilágyi-Rácz AA, Dávid P, Tolnai E, Rejtő L, Szász R, Póliska S, Biró S, Paholcsek M. Circulating microRNA sequencing revealed miRNome patterns in hematology and oncology patients aiding the prognosis of invasive aspergillosis. Sci Rep 2022; 12:7144. [PMID: 35504997 PMCID: PMC9065123 DOI: 10.1038/s41598-022-11239-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 04/18/2022] [Indexed: 11/20/2022] Open
Abstract
Invasive aspergillosis (IA) may occur as a serious complication of hematological malignancy. Delays in antifungal therapy can lead to an invasive disease resulting in high mortality. Currently, there are no well-established blood circulating microRNA biomarkers or laboratory tests which can be used to diagnose IA. Therefore, we aimed to define dysregulated miRNAs in hematology and oncology (HO) patients to identify biomarkers predisposing disease. We performed an in-depth analysis of high-throughput small transcriptome sequencing data obtained from the whole blood samples of our study cohort of 50 participants including 26 high-risk HO patients and 24 controls. By integrating in silico bioinformatic analyses of small noncoding RNA data, 57 miRNAs exhibiting significant expression differences (P < 0.05) were identified between IA-infected patients and non-IA HO patients. Among these, we found 36 differentially expressed miRNAs (DEMs) irrespective of HO malignancy. Of the top ranked DEMs, we found 14 significantly deregulated miRNAs, whose expression levels were successfully quantified by qRT-PCR. MiRNA target prediction revealed the involvement of IA related miRNAs in the biological pathways of tumorigenesis, the cell cycle, the immune response, cell differentiation and apoptosis.
Collapse
Affiliation(s)
- Gábor Fidler
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, Egyetem tér 1., 4032, Debrecen, Hungary
| | - Anna Anita Szilágyi-Rácz
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, Egyetem tér 1., 4032, Debrecen, Hungary
| | - Péter Dávid
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, Egyetem tér 1., 4032, Debrecen, Hungary
| | - Emese Tolnai
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, Egyetem tér 1., 4032, Debrecen, Hungary
| | - László Rejtő
- Department of Hematology, Jósa András Teaching Hospital, Nyíregyháza, Hungary
| | - Róbert Szász
- Division of Hematology, Institute of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Szilárd Póliska
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Sándor Biró
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, Egyetem tér 1., 4032, Debrecen, Hungary
| | - Melinda Paholcsek
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, Egyetem tér 1., 4032, Debrecen, Hungary.
| |
Collapse
|
3
|
Cahan EM, Khatri P. Data Heterogeneity: The Enzyme to Catalyze Translational Bioinformatics? J Med Internet Res 2020; 22:e18044. [PMID: 32784182 PMCID: PMC7450370 DOI: 10.2196/18044] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 05/18/2020] [Accepted: 06/03/2020] [Indexed: 02/01/2023] Open
Abstract
Up to 95% of novel interventions demonstrating significant effects at the bench fail to translate to the bedside. In recent years, the windfalls of “big data” have afforded investigators more substrate for research than ever before. However, issues with translation have persisted: although countless biomarkers for diagnostic and therapeutic targeting have been proposed, few of these generalize effectively. We assert that inadequate heterogeneity in datasets used for discovery and validation causes their nonrepresentativeness of the diversity observed in real-world patient populations. This nonrepresentativeness is contrasted with advantages rendered by the solicitation and utilization of data heterogeneity for multisystemic disease modeling. Accordingly, we propose the potential benefits of models premised on heterogeneity to promote the Institute for Healthcare Improvement’s Triple Aim. In an era of personalized medicine, these models can confer higher quality clinical care for individuals, increased access to effective care across all populations, and lower costs for the health care system.
Collapse
Affiliation(s)
- Eli M Cahan
- Department of Medicine, School of Medicine, Stanford University, Stanford, CA, United States.,School of Medicine, New York University, New York, NY, United States
| | - Purvesh Khatri
- Department of Medicine, School of Medicine, Stanford University, Stanford, CA, United States.,Department of Biomedical Data Sciences, School of Medicine, Stanford University, Stanford, CA, United States
| |
Collapse
|
4
|
Ancel J, Belgacemi R, Perotin JM, Diabasana Z, Dury S, Dewolf M, Bonnomet A, Lalun N, Birembaut P, Polette M, Deslée G, Dormoy V. Sonic hedgehog signalling as a potential endobronchial biomarker in COPD. Respir Res 2020; 21:207. [PMID: 32767976 PMCID: PMC7412648 DOI: 10.1186/s12931-020-01478-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 08/02/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The hedgehog (HH) pathway has been associated with chronic obstructive pulmonary disease (COPD) in genome-wide association studies and recent studies suggest that HH signalling could be altered in COPD. We therefore used minimally invasive endobronchial procedures to assess activation of the HH pathway including the main transcription factor, Gli2, and the ligand, Sonic HH (Shh). METHODS Thirty non-COPD patients and 28 COPD patients were included. Bronchial brushings, bronchoalveolar lavage fluid (BALF) and bronchial biopsies were obtained from fiberoptic bronchoscopy. Characterization of cell populations and subcellular localization were evaluated by immunostaining. ELISA and RNAseq analysis were performed to identify Shh proteins in BAL and transcripts on lung tissues from non-COPD and COPD patients with validation in an external and independent cohort. RESULTS Compared to non-COPD patients, COPD patients exhibited a larger proportion of basal cells in bronchial brushings (26 ± 11% vs 13 ± 6%; p < 0.0001). Airway basal cells of COPD subjects presented less intense nuclear staining for Gli2 in bronchial brushings and biopsies (p < 0.05). Bronchial BALF from COPD patients contained lower Shh concentrations than non-COPD BALF (12.5 vs 40.9 pg/mL; p = 0.002); SHH transcripts were also reduced in COPD lungs in the validation cohort (p = 0.0001). CONCLUSION This study demonstrates the feasibility of assessing HH pathway activation in respiratory samples collected by bronchoscopy and identifies impaired bronchial epithelial HH signalling in COPD.
Collapse
Affiliation(s)
- Julien Ancel
- University of Reims Champagne-Ardenne, Inserm, P3Cell UMR-S 1250, SFR CAP-SANTE, 45 rue Cognacq-Jay, 51092, Reims, France.,Department of Pulmonary Medicine, University Hospital of Reims, Hôpital Maison Blanche, 51092, Reims, France
| | - Randa Belgacemi
- University of Reims Champagne-Ardenne, Inserm, P3Cell UMR-S 1250, SFR CAP-SANTE, 45 rue Cognacq-Jay, 51092, Reims, France
| | - Jeanne-Marie Perotin
- University of Reims Champagne-Ardenne, Inserm, P3Cell UMR-S 1250, SFR CAP-SANTE, 45 rue Cognacq-Jay, 51092, Reims, France.,Department of Pulmonary Medicine, University Hospital of Reims, Hôpital Maison Blanche, 51092, Reims, France
| | - Zania Diabasana
- University of Reims Champagne-Ardenne, Inserm, P3Cell UMR-S 1250, SFR CAP-SANTE, 45 rue Cognacq-Jay, 51092, Reims, France
| | - Sandra Dury
- Department of Pulmonary Medicine, University Hospital of Reims, Hôpital Maison Blanche, 51092, Reims, France
| | - Maxime Dewolf
- Department of Pulmonary Medicine, University Hospital of Reims, Hôpital Maison Blanche, 51092, Reims, France
| | - Arnaud Bonnomet
- University of Reims Champagne-Ardenne, Inserm, P3Cell UMR-S 1250, SFR CAP-SANTE, 45 rue Cognacq-Jay, 51092, Reims, France.,Platform of Cellular and Tissular Imaging (PICT), 51097, Reims, France
| | - Nathalie Lalun
- University of Reims Champagne-Ardenne, Inserm, P3Cell UMR-S 1250, SFR CAP-SANTE, 45 rue Cognacq-Jay, 51092, Reims, France
| | - Philippe Birembaut
- University of Reims Champagne-Ardenne, Inserm, P3Cell UMR-S 1250, SFR CAP-SANTE, 45 rue Cognacq-Jay, 51092, Reims, France.,University Hospital of Reims, Hôpital Maison Blanche, Laboratoire de Biopathologie, 51092, Reims, France
| | - Myriam Polette
- University of Reims Champagne-Ardenne, Inserm, P3Cell UMR-S 1250, SFR CAP-SANTE, 45 rue Cognacq-Jay, 51092, Reims, France.,University Hospital of Reims, Hôpital Maison Blanche, Laboratoire de Biopathologie, 51092, Reims, France
| | - Gaëtan Deslée
- University of Reims Champagne-Ardenne, Inserm, P3Cell UMR-S 1250, SFR CAP-SANTE, 45 rue Cognacq-Jay, 51092, Reims, France.,Department of Pulmonary Medicine, University Hospital of Reims, Hôpital Maison Blanche, 51092, Reims, France
| | - Valérian Dormoy
- University of Reims Champagne-Ardenne, Inserm, P3Cell UMR-S 1250, SFR CAP-SANTE, 45 rue Cognacq-Jay, 51092, Reims, France.
| |
Collapse
|