The current state of omics technologies in the clinical management of asthma and allergic diseases

Donovan, Brittney M.; Bastarache, Lisa; Turi, Kedir N.; Zutter, Mary M.; Hartert, Tina V.

doi:10.1016/j.anai.2019.08.460

Cited by 26 publications

(18 citation statements)

References 72 publications

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“…One of the most promising uses of Big Data is the use of omics (eg, genomics, transcriptomics, proteomics, metabolomics, microbiome, and exposome) to identify asthma phenotypes and its application for the management of individual patients. 69 When combined with EHRs and clinical decision support systems, inclusion of omics data has the potential to allow personalized medicine finally to become a reality.…”

Section: Big Datamentioning

confidence: 99%

Telemedicine and emerging technologies for health care in allergy/immunology

Portnoy

Pandya

Waller

et al. 2020

Journal of Allergy and Clinical Immunology

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Telemedicine (TM) has become a popular method of accessing medical services between providers and patients and is viewed as a cost-effective alternative to more traditional episodic faceto-face encounters. TM overcomes 2 barriers that patients face when seeking health care: distance and time. It is as effective as in-person visits for outpatient treatment of asthma, and it is a convenient way to provide inpatient consultations for patients when the allergist practices outside of the hospital. TM also has been used to manage patients with asthma in schools. Patients tend to be as satisfied with TM or they prefer TM over in-person visits, but infrequently they do prefer in-person visits. In addition to virtual visits using TM, there are several emerging technologies that are relevant to the practice of allergy/ immunology including electronic diaries (eg, symptoms and medication use), wearable technology (eg, to monitor activity and vital signs), remote patient monitoring (eg, environmental exposures and medication adherence) as well as electronic medical records augmented with clinical decision support. We believe that the use of TM, particularly when combined with information technologies such as electronic health records, has the potential to cause a transformational change in the way care is delivered by altering the process of interaction between patient and provider. TM addresses the shortage of allergy specialists in rural and underserved urban communities and facilitates patient access to allergy services. As patients take more control of their health care, use of TM is likely to increase because a large part of the move to adopt TM is driven by patient preference. (J Allergy Clin Immunol 2020;145:445-54.)

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Section: Big Datamentioning

confidence: 99%

Telemedicine and emerging technologies for health care in allergy/immunology

Portnoy

Pandya

Waller

et al. 2020

Journal of Allergy and Clinical Immunology

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“…Examples of omic technologies include genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiomics, and exposomics. 17 These technologies generate exponentially growing data sets requiring sophisticated bioinformatics and computational techniques that can integrate, analyze and interpret the data to generate hypothesis, which can F I G U R E 1 A number of environmental factors affect the development of allergy and tolerance in infants. The hygiene hypothesis suggests that increased hygiene and lack of exposure to microbes and parasitic infections at an early age prevents the necessary stimulus to train the developing immune system to develop tolerogenic responses.…”

Section: Many Of the Factors That Have Been Implicated In Allergic DImentioning

confidence: 99%

“…The use of the term “omics” suggests a comprehensive high‐throughput and systematic investigation of biological parameters. Examples of omic technologies include genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiomics, and exposomics 17 . These technologies generate exponentially growing data sets requiring sophisticated bioinformatics and computational techniques that can integrate, analyze and interpret the data to generate hypothesis, which can then be further tested.…”

Section: Introductionmentioning

confidence: 99%

Advances and novel developments in environmental influences on the development of atopic diseases

Alkotob

Cannedy

Harter

et al. 2020

Allergy

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Both genes and the environment shape human health and disease. Although IgE-mediated allergic diseases (atopic diseases) have a genetic component and are more prevalent in individuals with a family history of allergic disease, the observed rapid increases in allergic diseases suggest that environmental factors are the predominant driving forces behind these increases rather than genetic alterations. 1,2 Common atopic diseases include atopic dermatitis, food allergy, allergic rhinitis, and allergic asthma. Human diets and lifestyle have undergone major alterations. The exposome, which is the sum total of all the exposures of an individual in a lifetime, has undergone major shifts in the last few decades, affecting human health and disease. A number of environmental factors have been implicated in the increased prevalence of allergic diseases. Predominant among them are increased exposure to pollutants and decreased exposure to microbes and parasitic infections. Air pollution has increased significantly in the last few decades. The hygiene hypothesis suggests that increased hygiene and lack of exposure to microbes and parasitic infections at an early age prevents the necessary stimulus to train the immune system to develop tolerogenic responses. Lifestyle factors,

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“…The availability of multiple omics technologies, proteomics, high-dimensional mass cytometry, transcriptomics and epigenomics, allowed identifying promising molecular and immunological targets for future human studies. Taken individually, each omics-approach has assets and drawbacks (reviewed by ( 127 , 128 ) but together they might unfold their full potential. Unbiased machine-learning, integrated data analysis of heterogeneous datasets as well as network-based approaches will be required to establish algorithms for providing insights in disease pathophysiology and for inferring biomarkers or biomarker signatures being predictive for reaction phenotypes ( 33 , 127 , 129 , 130 ).…”

Section: Conclusion: Perspective Toward New Integrative Approachesmentioning

confidence: 99%

IgE-Mediated Peanut Allergy: Current and Novel Predictive Biomarkers for Clinical Phenotypes Using Multi-Omics Approaches

et al. 2021

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Food allergy is a collective term for several immune-mediated responses to food. IgE-mediated food allergy is the best-known subtype. The patients present with a marked diversity of clinical profiles including symptomatic manifestations, threshold reactivity and reaction kinetics. In-vitro predictors of these clinical phenotypes are evasive and considered as knowledge gaps in food allergy diagnosis and risk management. Peanut allergy is a relevant disease model where pioneer discoveries were made in diagnosis, immunotherapy and prevention. This review provides an overview on the immune basis for phenotype variations in peanut-allergic individuals, in the light of future patient stratification along emerging omic-areas. Beyond specific IgE-signatures and basophil reactivity profiles with established correlation to clinical outcome, allergenomics, mass spectrometric resolution of peripheral allergen tracing, might be a fundamental approach to understand disease pathophysiology underlying biomarker discovery. Deep immune phenotyping is thought to reveal differential cell responses but also, gene expression and gene methylation profiles (eg, peanut severity genes) are promising areas for biomarker research. Finally, the study of microbiome-host interactions with a focus on the immune system modulation might hold the key to understand tissue-specific responses and symptoms. The immune mechanism underlying acute food-allergic events remains elusive until today. Deciphering this immunological response shall enable to identify novel biomarker for stratification of patients into reaction endotypes. The availability of powerful multi-omics technologies, together with integrated data analysis, network-based approaches and unbiased machine learning holds out the prospect of providing clinically useful biomarkers or biomarker signatures being predictive for reaction phenotypes.

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The current state of omics technologies in the clinical management of asthma and allergic diseases

Cited by 26 publications

References 72 publications

Telemedicine and emerging technologies for health care in allergy/immunology

Telemedicine and emerging technologies for health care in allergy/immunology

Advances and novel developments in environmental influences on the development of atopic diseases

IgE-Mediated Peanut Allergy: Current and Novel Predictive Biomarkers for Clinical Phenotypes Using Multi-Omics Approaches

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