Literature DB >> 29185231

Translating Asthma: Dissecting the Role of Metabolomics, Genomics and Personalized Medicine.

Andrew Bush1,2,3.   

Abstract

The management of asthma has largely stagnated over the last 25 years, but we are at the dawning of a new age wherein -omics technology can help us manage the disease objectively and rationally. Even in this new scientific age, getting the basics of asthma management right remains essential. The new technologies which can be applied to multiple biological samples include genomics (study of the genome), transcriptomics (gene transcription), lipidomics, proteomics and metabolomics (lipids, proteins and metabolites, respectively) and breathomics, using exhaled breath as a source of biomarkers, which is of particular interest in view of its non-invasive nature in pediatrics. Important applications will include the diagnosis of airways disease, including its components; the pathways driving airway pathology; monitoring the response to treatment; and measuring future risk (asthma attacks, poor lung growth trajectory). With the advent of a wide range of novel biologicals to treat asthma, -omics technology to personalize therapy will be especially important. The U-BIOPRED (Europe) and SARP (USA) groups have been most active in this field, especially using bronchoscopically obtained samples to perform cluster analyses to define new asthma endotypes. However, stability over time and consistency between investigators is imperfect. This is perhaps unsurprising; results of biomarker studies in asthma will be a composite of the underlying disease, the (variable) effects of adverse drivers such as allergen exposure and pollution, the effects of treatment, and the effects of adherence or otherwise to treatment. Ultimately, the aim should be an exhaled breath based tool with a rapid result that can be used as a routine in the clinic. However, at the moment, there are as yet no clinical applications in children of -omics technology.

Entities:  

Keywords:  Airway inflammation; Asthma phenotype; Biomarker; Bronchial biopsy; Bronchial brushings; Endotype; Induced sputum; Transcriptomics

Mesh:

Substances:

Year:  2017        PMID: 29185231     DOI: 10.1007/s12098-017-2520-0

Source DB:  PubMed          Journal:  Indian J Pediatr        ISSN: 0019-5456            Impact factor:   1.967


  53 in total

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2.  T-helper type 2-driven inflammation defines major subphenotypes of asthma.

Authors:  Prescott G Woodruff; Barmak Modrek; David F Choy; Guiquan Jia; Alexander R Abbas; Almut Ellwanger; Laura L Koth; Joseph R Arron; John V Fahy
Journal:  Am J Respir Crit Care Med       Date:  2009-05-29       Impact factor: 21.405

3.  Prognostic value of cluster analysis of severe asthma phenotypes.

Authors:  Arnaud Bourdin; Nicolas Molinari; Isabelle Vachier; Muriel Varrin; Grégory Marin; Anne-Sophie Gamez; Fabrice Paganin; Pascal Chanez
Journal:  J Allergy Clin Immunol       Date:  2014-06-27       Impact factor: 10.793

4.  The asthmas in 2015 and beyond: a Lancet Commission.

Authors:  Andrew Bush; Sabine Kleinert; Ian D Pavord
Journal:  Lancet       Date:  2015-04-04       Impact factor: 79.321

5.  Exhaled biomarkers and gene expression at preschool age improve asthma prediction at 6 years of age.

Authors:  Ester M M Klaassen; Kim D G van de Kant; Quirijn Jöbsis; Onno C P van Schayck; Agnieszka Smolinska; Jan W Dallinga; Frederik J van Schooten; Gertjan J M den Hartog; Johan C de Jongste; Ger T Rijkers; Edward Dompeling
Journal:  Am J Respir Crit Care Med       Date:  2015-01-15       Impact factor: 21.405

6.  Community outbreaks of asthma associated with inhalation of soybean dust. Toxicoepidemiological Committee.

Authors:  J M Antó; J Sunyer; R Rodriguez-Roisin; M Suarez-Cervera; L Vazquez
Journal:  N Engl J Med       Date:  1989-04-27       Impact factor: 91.245

Review 7.  Lung Development and Aging.

Authors:  Andrew Bush
Journal:  Ann Am Thorac Soc       Date:  2016-12

8.  Worsening of asthma in children allergic to cats, after indirect exposure to cat at school.

Authors:  C Almqvist; M Wickman; L Perfetti; N Berglind; A Renström; M Hedrén; K Larsson; G Hedlin; P Malmberg
Journal:  Am J Respir Crit Care Med       Date:  2001-03       Impact factor: 21.405

Review 9.  Definition, assessment and treatment of wheezing disorders in preschool children: an evidence-based approach.

Authors:  P L P Brand; E Baraldi; H Bisgaard; A L Boner; J A Castro-Rodriguez; A Custovic; J de Blic; J C de Jongste; E Eber; M L Everard; U Frey; M Gappa; L Garcia-Marcos; J Grigg; W Lenney; P Le Souëf; S McKenzie; P J F M Merkus; F Midulla; J Y Paton; G Piacentini; P Pohunek; G A Rossi; P Seddon; M Silverman; P D Sly; S Stick; A Valiulis; W M C van Aalderen; J H Wildhaber; G Wennergren; N Wilson; Z Zivkovic; A Bush
Journal:  Eur Respir J       Date:  2008-10       Impact factor: 16.671

10.  Severity of obstructive airways disease by age 2 years predicts asthma at 10 years of age.

Authors:  C S Devulapalli; K C L Carlsen; G Håland; M C Munthe-Kaas; M Pettersen; P Mowinckel; K-H Carlsen
Journal:  Thorax       Date:  2007-07-05       Impact factor: 9.139

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  3 in total

1.  Advances in Asthma.

Authors:  Umakanth Katwa; S K Kabra
Journal:  Indian J Pediatr       Date:  2018-05-31       Impact factor: 1.967

2.  Metabolomic profiling reveals extensive adrenal suppression due to inhaled corticosteroid therapy in asthma.

Authors:  Priyadarshini Kachroo; Isobel D Stewart; Rachel S Kelly; Meryl Stav; Kevin Mendez; Amber Dahlin; Djøra I Soeteman; Su H Chu; Mengna Huang; Margaret Cote; Hanna M Knihtilä; Kathleen Lee-Sarwar; Michael McGeachie; Alberta Wang; Ann Chen Wu; Yamini Virkud; Pei Zhang; Nicholas J Wareham; Elizabeth W Karlson; Craig E Wheelock; Clary Clish; Scott T Weiss; Claudia Langenberg; Jessica A Lasky-Su
Journal:  Nat Med       Date:  2022-03-21       Impact factor: 87.241

Review 3.  Genomic Predictors of Asthma Phenotypes and Treatment Response.

Authors:  Natalia Hernandez-Pacheco; Maria Pino-Yanes; Carlos Flores
Journal:  Front Pediatr       Date:  2019-02-05       Impact factor: 3.418

  3 in total

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