Brittney M Donovan1, Lisa Bastarache2, Kedir N Turi1, Mary M Zutter3, Tina V Hartert4. 1. Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee. 2. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee. 3. Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee. 4. Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee. Electronic address: tina.hartert@vumc.org.
Abstract
OBJECTIVE: To review the state of omics science specific to asthma and allergic diseases and discuss the current and potential applicability of omics in clinical disease prediction, treatment, and management. DATA SOURCES: Studies and reviews focused on the use of omics technologies in asthma and allergic disease research and clinical management were identified using PubMed. STUDY SELECTIONS: Publications were included based on relevance, with emphasis placed on the most recent findings. RESULTS: Omics-based research is increasingly being used to differentiate asthma and allergic disease subtypes, identify biomarkers and pathological mediators, predict patient responsiveness to specific therapies, and monitor disease control. Although most studies have focused on genomics and transcriptomics approaches, increasing attention is being placed on omics technologies that assess the effect of environmental exposures on disease initiation and progression. Studies using omics data to identify biological targets and pathways involved in asthma and allergic disease pathogenesis have primarily focused on a specific omics subtype, providing only a partial view of the disease process. CONCLUSION: Although omics technologies have advanced our understanding of the molecular mechanisms underlying asthma and allergic disease pathology, omics testing for these diseases are not standard of care at this point. Several important factors need to be addressed before these technologies can be used effectively in clinical practice. Use of clinical decision support systems and integration of these systems within electronic medical records will become increasingly important as omics technologies become more widely used in the clinical setting.
OBJECTIVE: To review the state of omics science specific to asthma and allergic diseases and discuss the current and potential applicability of omics in clinical disease prediction, treatment, and management. DATA SOURCES: Studies and reviews focused on the use of omics technologies in asthma and allergic disease research and clinical management were identified using PubMed. STUDY SELECTIONS: Publications were included based on relevance, with emphasis placed on the most recent findings. RESULTS: Omics-based research is increasingly being used to differentiate asthma and allergic disease subtypes, identify biomarkers and pathological mediators, predict patient responsiveness to specific therapies, and monitor disease control. Although most studies have focused on genomics and transcriptomics approaches, increasing attention is being placed on omics technologies that assess the effect of environmental exposures on disease initiation and progression. Studies using omics data to identify biological targets and pathways involved in asthma and allergic disease pathogenesis have primarily focused on a specific omics subtype, providing only a partial view of the disease process. CONCLUSION: Although omics technologies have advanced our understanding of the molecular mechanisms underlying asthma and allergic disease pathology, omics testing for these diseases are not standard of care at this point. Several important factors need to be addressed before these technologies can be used effectively in clinical practice. Use of clinical decision support systems and integration of these systems within electronic medical records will become increasingly important as omics technologies become more widely used in the clinical setting.
Authors: Ayse Bilge Ozturk; Benjamin Arthur Turturice; David L Perkins; Patricia W Finn Journal: Curr Allergy Asthma Rep Date: 2017-08-10 Impact factor: 4.806
Authors: Lisa Bastarache; Jacob J Hughey; Scott Hebbring; Joy Marlo; Wanke Zhao; Wanting T Ho; Sara L Van Driest; Tracy L McGregor; Jonathan D Mosley; Quinn S Wells; Michael Temple; Andrea H Ramirez; Robert Carroll; Travis Osterman; Todd Edwards; Douglas Ruderfer; Digna R Velez Edwards; Rizwan Hamid; Joy Cogan; Andrew Glazer; Wei-Qi Wei; QiPing Feng; Murray Brilliant; Zhizhuang J Zhao; Nancy J Cox; Dan M Roden; Joshua C Denny Journal: Science Date: 2018-03-16 Impact factor: 47.728
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
Authors: Rebecca Czolk; Julia Klueber; Martin Sørensen; Paul Wilmes; Françoise Codreanu-Morel; Per Stahl Skov; Christiane Hilger; Carsten Bindslev-Jensen; Markus Ollert; Annette Kuehn Journal: Front Immunol Date: 2021-01-28 Impact factor: 7.561