1
|
Fathollahpour A, Abdi Abyaneh F, Darabi B, Ebrahimi M, Kooti W, Nasiri Kalmarzi R. Main Polymorphisms in Aspirin-Exacerbated Respiratory Disease. Gene 2023; 870:147326. [PMID: 37011853 DOI: 10.1016/j.gene.2023.147326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 02/22/2023] [Accepted: 02/27/2023] [Indexed: 04/04/2023]
Abstract
Aspirin exacerbated respiratory disease (AERD) is a condition caused by increased bronchoconstriction in people with asthma after taking aspirin or another NSAID. Molecular analysis of the human genome has opened up new perspectives on human polymorphisms and disease. This study was conducted to identify the genetic factors that influence this disease due to its unknown genetic factors. We evaluated research studies, letters, comments, editorials, eBooks, and reviews. PubMed/MEDLINE, Web of Sciences, Cochrane Library, and Scopus were searched for information. We used the keywords polymorphisms, aspirin-exacerbated respiratory disease, asthma, allergy as search terms. This study included 38 studies. AERD complications were associated with polymorphisms in ALOX15, EP2, ADRB2, SLC6A12, CCR3, CRTH2, CysLTs, DPCR1, DPP10, FPR2, HSP70, IL8, IL1B, IL5RA, IL-13, IL17RA, ILVBL, TBXA2R, TLR3, HLA-DRB and HLA-DQ, HLA-DR7, HLA-DP. AERD was associated with heterogeneity in gene polymorphisms, making it difficult to pinpoint specific gene changes. Therefore, diagnosing and treating AERD may be facilitated by examining common variants involving the disease.
Collapse
|
2
|
Bos LDJ, Laffey JG, Ware LB, Heijnen NFL, Sinha P, Patel B, Jabaudon M, Bastarache JA, McAuley DF, Summers C, Calfee CS, Shankar-Hari M. Towards a biological definition of ARDS: are treatable traits the solution? Intensive Care Med Exp 2022; 10:8. [PMID: 35274164 PMCID: PMC8913033 DOI: 10.1186/s40635-022-00435-w] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 03/01/2022] [Indexed: 02/07/2023] Open
Abstract
The pathophysiology of acute respiratory distress syndrome (ARDS) includes the accumulation of protein-rich pulmonary edema in the air spaces and interstitial areas of the lung, variable degrees of epithelial injury, variable degrees of endothelial barrier disruption, transmigration of leukocytes, alongside impaired fluid and ion clearance. These pathophysiological features are different between patients contributing to substantial biological heterogeneity. In this context, it is perhaps unsurprising that a wide range of pharmacological interventions targeting these pathophysiological processes have failed to improve patient outcomes. In this manuscript, our goal is to provide a narrative summary of the potential methods to capture the underlying biological heterogeneity of ARDS and discuss how this information could inform future ARDS redefinitions. We discuss what biological tests are available to identify patients with any of the following predominant biological patterns: (1) epithelial and/or endothelial injury, (2) protein rich pulmonary edema and (3) systemic or within lung inflammatory responses.
Collapse
Affiliation(s)
- Lieuwe D J Bos
- Intensive Care, Amsterdam UMC, Location AMC, 1105AZ, Amsterdam, The Netherlands.
| | - John G Laffey
- Anaesthesia and Intensive Care Medicine, Galway University Hospitals, National University of Ireland Galway, Galway, Ireland
| | - Lorraine B Ware
- Division of Allergy, Pulmonary and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nanon F L Heijnen
- Department of Intensive Care Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Pratik Sinha
- Department of Anesthesiology, School of Medicine, Washington University, St. Louis, USA
| | - Brijesh Patel
- Division of Anaesthetics, Pain Medicine, and Intensive Care, Department of Surgery and Cancer, Imperial College, London, UK
| | - Matthieu Jabaudon
- Department of Perioperative Medicine, CHU Clermont-Ferrand, Clermont-Ferrand, France.,GReD, Université Clermont Auvergne, CNRS, INSERM, Clermont-Ferrand, France
| | - Julie A Bastarache
- Division of Allergy, Pulmonary and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Daniel F McAuley
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Charlotte Summers
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Carolyn S Calfee
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Manu Shankar-Hari
- School of Immunology and Microbial Sciences, King's College London, London, UK.,Centre for Inflammation Research, The University of Edinburgh, Edinburgh, Scotland, UK
| |
Collapse
|
3
|
Nevola KT, Nagarajan A, Hinton AC, Trajanoska K, Formosa MM, Xuereb-Anastasi A, van der Velde N, Stricker BH, Rivadeneira F, Fuggle NR, Westbury LD, Dennison EM, Cooper C, Kiel DP, Motyl KJ, Lary CW. Pharmacogenomic Effects of β-Blocker Use on Femoral Neck Bone Mineral Density. J Endocr Soc 2021; 5:bvab092. [PMID: 34195528 PMCID: PMC8237849 DOI: 10.1210/jendso/bvab092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Indexed: 11/19/2022] Open
Abstract
CONTEXT Recent studies have shown that β-blocker (BB) users have a decreased risk of fracture and higher bone mineral density (BMD) compared to nonusers, likely due to the suppression of adrenergic signaling in osteoblasts, leading to increased BMD. There is also variability in the effect size of BB use on BMD in humans, which may be due to pharmacogenomic effects. OBJECTIVE To investigate potential single-nucleotide variations (SNVs) associated with the effect of BB use on femoral neck BMD, we performed a cross-sectional analysis using clinical data, dual-energy x-ray absorptiometry, and genetic data from the Framingham Heart Study's (FHS) Offspring Cohort. We then sought to validate our top 4 genetic findings using data from the Rotterdam Study, the BPROOF Study, the Malta Osteoporosis Fracture Study (MOFS), and the Hertfordshire Cohort Study. METHODS We used sex-stratified linear mixed models to determine SNVs that had a significant interaction effect with BB use on femoral neck (FN) BMD across 11 gene regions. We also evaluated the association of our top SNVs from the FHS with microRNA (miRNA) expression in blood and identified potential miRNA-mediated mechanisms by which these SNVs may affect FN BMD. RESULTS One variation (rs11124190 in HDAC4) was validated in females using data from the Rotterdam Study, while another (rs12414657 in ADRB1) was validated in females using data from the MOFS. We performed an exploratory meta-analysis of all 5 studies for these variations, which further validated our findings. CONCLUSION This analysis provides a starting point for investigating the pharmacogenomic effects of BB use on BMD measures.
Collapse
Affiliation(s)
- Kathleen T Nevola
- Graduate School of Biomedical Sciences, Tufts University, Boston, MA, 02111, USA
| | - Archana Nagarajan
- Graduate School of Biomedical Sciences, Tufts University, Boston, MA, 02111, USA
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME 04101, USA
| | - Alexandra C Hinton
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME 04101, USA
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam 3015 GD, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam 3015 GD, the Netherlands
| | - Melissa M Formosa
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida MSD 2080, Malta
- Centre for Molecular Medicine and Biobanking, MSD 2080, Malta
| | - Angela Xuereb-Anastasi
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida MSD 2080, Malta
- Centre for Molecular Medicine and Biobanking, MSD 2080, Malta
| | - Nathalie van der Velde
- Department of Internal Medicine, Geriatrics, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Amsterdam, 1105 AZ, the Netherlands
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam 3015 GD, the Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam 3015 GD, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam 3015 GD, the Netherlands
| | - Nicholas R Fuggle
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK
| | - Leo D Westbury
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK
- Victoria University of Wellington, Wellington, New Zealand
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Douglas P Kiel
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
- Hinda and Arthur Marcus Institute for Aging Research Hebrew SeniorLife, Boston, MA 02131, USA
| | - Katherine J Motyl
- Center for Molecular Medicine, Maine Medical Center Research Institute, Maine Medical Center, Scarborough, ME 04074, USA
| | - Christine W Lary
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME 04101, USA
| |
Collapse
|
4
|
IL10 rs1800872 Is Associated with Non-Steroidal Anti-Inflammatory Drugs Exacerbated Respiratory Disease in Mexican-Mestizo Patients. Biomolecules 2020; 10:biom10010104. [PMID: 31936183 PMCID: PMC7023146 DOI: 10.3390/biom10010104] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 12/17/2019] [Accepted: 12/20/2019] [Indexed: 12/23/2022] Open
Abstract
Non-steroidal anti-inflammatory drugs (NSAID) exacerbated respiratory disease (N-ERD) is a disease integrated by asthma, nasal polyps, and hypersensitivity to non-steroidal anti-inflammatory drugs (NSAID). Genetic association studies have explored single nucleotide polymorphisms (SNPs) in genes involved in theoretical pathophysiological mechanisms, but most of these lack replication of findings in second populations. Our objective was to evaluate the association of SNPs in candidate genomic regions described in Asian and European subjects with N-ERD in Mexican-mestizo patients. We designed a replicative study in two stages. We included 381 SNPs selected by fine mapping of associated genes in a microarray, which were tested in three groups: N-ERD (N), asthma (A), and control group (CG); by means of GoldenGate array, positive results by genetic models were validated in the second stage in another population through qPCR with the same methodology. In the allelic model, we identified 11 SNPs in N vs. CG comparison, and five in N vs. A and A vs. CG, respectively. By genetics models, all SNPs in PPARG, rs13239058 in TBXAS1, and rs1554286 and rs1800872 in IL10 were associated in both models. In the second stage, only rs1800872CC showed an association in the dominant model comparing N vs. GC, p = 0.004, OR = 0.44. In conclusion, rs1800872 in IL10 was the only associated with N-ERD in Mexican-mestizo patients.
Collapse
|