Review
Version 1
Preserved in Portico This version is not peer-reviewed
Multiomic Investigations into Lung Health and Disease
Version 1
: Received: 6 May 2023 / Approved: 9 May 2023 / Online: 9 May 2023 (07:38:25 CEST)
How to cite: Blutt, S. E.; Coarfa, C.; Neu, J.; Pammi, M. Multiomic Investigations into Lung Health and Disease. Preprints 2023, 2023050581. https://doi.org/10.20944/preprints202305.0581.v1 Blutt, S. E.; Coarfa, C.; Neu, J.; Pammi, M. Multiomic Investigations into Lung Health and Disease. Preprints 2023, 2023050581. https://doi.org/10.20944/preprints202305.0581.v1
Abstract
Diseases of the lung account for more than 5 million deaths worldwide and are a burden to healthcare. Improving clinical outcomes including mortality and quality of life involves a holistic understanding the etiopathogenesis, which can be provided by multi-omics integration of lung data. An enhanced understanding of large comprehensive datasets provides opportunities to mine those datasets for features that contribute to prevention and amelioration of disease. In this review, we evaluate lung disease models including animal models, organoids and single cell lines as mechanisms to study multiomics in lung health and disease. We provide examples of lung diseases where multi-omics investigations have provided a deeper insight into pathogenesis that has resulted in improved preventive and therapeutic interventions.
Keywords
multiomics; lung, respiratory; models; integration; outcomes
Subject
Medicine and Pharmacology, Pulmonary and Respiratory Medicine
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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