A Review of Metabolomics Approaches and Their Application in Identifying Causal Pathways of Childhood Asthma

Overview

Journal J Allergy Clin Immunol

Specialty Allergy & Immunology

Date 2017 May 9

PMID 28479327

Citations 43

Authors

Kedir N Turi

Lindsey Romick-Rosendale

Kelli K Ryckman

Tina V Hartert

Affiliations

Soon will be listed here.

Abstract

Because asthma is a disease that results from host-environment interactions, an approach that allows assessment of the effect of the environment on the host is needed to understand the disease. Metabolomics has appealing potential as an application to study pathways to childhood asthma development. The objective of this review is to provide an overview of metabolomics methods and their application to understanding host-environment pathways in asthma development. We reviewed recent literature on advances in metabolomics and their application to study pathways to childhood asthma development. We highlight the (1) potential of metabolomics in understanding the pathogenesis of disease and the discovery of biomarkers; (2) choice of metabolomics techniques, biospecimen handling, and data analysis; (3) application to studying the role of the environment on asthma development; (4) review of metabolomics applied to the outcome of asthma; (5) recommendations for application of metabolomics-based -omics data integration in understanding disease pathogenesis; and (6) limitations. In conclusion, metabolomics allows use of biospecimens to identify useful biomarkers and pathways involved in disease development and subsequently to inform a greater understanding of disease pathogenesis and endotypes and prediction of the clinical course of childhood asthma phenotypes.

Citing Articles

Artificial Intelligence in Metabolomics: A Current Review.

Chi J, Shu J, Li M, Mudappathi R, Jin Y, Lewis F Trends Analyt Chem. 2024; 178.

PMID: 39071116 PMC: 11271759. DOI: 10.1016/j.trac.2024.117852.

Deleterious Effects of Heat Stress on the Tomato, Its Innate Responses, and Potential Preventive Strategies in the Realm of Emerging Technologies.

Khan Q, Wang Y, Xia G, Yang H, Luo Z, Zhang Y Metabolites. 2024; 14(5).

PMID: 38786760 PMC: 11122942. DOI: 10.3390/metabo14050283.

Applications of chromatographic methods in metabolomics: A review.

Ovbude S, Sharmeen S, Kyei I, Olupathage H, Jones J, Bell R J Chromatogr B Analyt Technol Biomed Life Sci. 2024; 1239:124124.

PMID: 38640794 PMC: 11618781. DOI: 10.1016/j.jchromb.2024.124124.

Racial Differences in Vaginal Fluid Metabolites and Association with Systemic Inflammation Markers among Ovarian Cancer Patients: A Pilot Study.

Osazuwa-Peters O, Deveaux A, Muehlbauer M, Ilkayeva O, Bain J, Keku T Cancers (Basel). 2024; 16(7).

PMID: 38610937 PMC: 11011195. DOI: 10.3390/cancers16071259.

Association of Metabolites, Nutrients, and Toxins in Maternal and Cord Serum with Asthma, IgE, SPT, FeNO, and Lung Function in Offspring.

Karmaus W, Kheirkhah Rahimabad P, Pham N, Mukherjee N, Chen S, Anthony T Metabolites. 2023; 13(6).

PMID: 37367895 PMC: 10301645. DOI: 10.3390/metabo13060737.

References

Kohler I, Verhoeven A, Derks R, Giera M . Analytical pitfalls and challenges in clinical metabolomics. Bioanalysis. 2016; 8(14):1509-32. DOI: 10.4155/bio-2016-0090. View

Mendivil C, Koziel H, Brain J . Metabolic hormones, apolipoproteins, adipokines, and cytokines in the alveolar lining fluid of healthy adults: compartmentalization and physiological correlates. PLoS One. 2015; 10(4):e0123344. PMC: 4388476. DOI: 10.1371/journal.pone.0123344. View

Dallinga J, Robroeks C, van Berkel J, Moonen E, Godschalk R, Jobsis Q . Volatile organic compounds in exhaled breath as a diagnostic tool for asthma in children. Clin Exp Allergy. 2009; 40(1):68-76. DOI: 10.1111/j.1365-2222.2009.03343.x. View

Emwas A, Roy R, McKay R, Ryan D, Brennan L, Tenori L . Recommendations and Standardization of Biomarker Quantification Using NMR-Based Metabolomics with Particular Focus on Urinary Analysis. J Proteome Res. 2016; 15(2):360-73. PMC: 4865177. DOI: 10.1021/acs.jproteome.5b00885. View

Yin P, Lehmann R, Xu G . Effects of pre-analytical processes on blood samples used in metabolomics studies. Anal Bioanal Chem. 2015; 407(17):4879-92. PMC: 4471316. DOI: 10.1007/s00216-015-8565-x. View

Scarlata S, Pennazza G, Santonico M, Pedone C, Antonelli Incalzi R . Exhaled breath analysis by electronic nose in respiratory diseases. Expert Rev Mol Diagn. 2015; 15(7):933-56. DOI: 10.1586/14737159.2015.1043895. View

Fitzpatrick A, Park Y, Brown L, Jones D . Children with severe asthma have unique oxidative stress-associated metabolomic profiles. J Allergy Clin Immunol. 2013; 133(1):258-61.e1-8. PMC: 3915866. DOI: 10.1016/j.jaci.2013.10.012. View

Ritter J, Wahl A, Freund S, Genzel Y, Reichl U . Metabolic effects of influenza virus infection in cultured animal cells: Intra- and extracellular metabolite profiling. BMC Syst Biol. 2010; 4:61. PMC: 2890500. DOI: 10.1186/1752-0509-4-61. View

Lewis N . Comparisons between mammalian and artificial olfaction based on arrays of carbon black-polymer composite vapor detectors. Acc Chem Res. 2004; 37(9):663-72. DOI: 10.1021/ar030120m. View

10.

van de Kant K, van Berkel J, Jobsis Q, Passos V, Klaassen E, van der Sande L . Exhaled breath profiling in diagnosing wheezy preschool children. Eur Respir J. 2013; 41(1):183-8. DOI: 10.1183/09031936.00122411. View

11.

Saude E, Skappak C, Regush S, Cook K, Ben-Zvi A, Becker A . Metabolomic profiling of asthma: diagnostic utility of urine nuclear magnetic resonance spectroscopy. J Allergy Clin Immunol. 2011; 127(3):757-64.e1-6. DOI: 10.1016/j.jaci.2010.12.1077. View

12.

Alonso A, Marsal S, Julia A . Analytical methods in untargeted metabolomics: state of the art in 2015. Front Bioeng Biotechnol. 2015; 3:23. PMC: 4350445. DOI: 10.3389/fbioe.2015.00023. View

13.

Stone M, Harvey S, Nelsestuen G, Reilly C, Hertz M, Wendt C . Elevated peptides in lung lavage fluid associated with bronchiolitis obliterans syndrome. PLoS One. 2014; 9(1):e84471. PMC: 3879344. DOI: 10.1371/journal.pone.0084471. View

14.

Gika H, Theodoridis G, Wilson I . Liquid chromatography and ultra-performance liquid chromatography-mass spectrometry fingerprinting of human urine: sample stability under different handling and storage conditions for metabonomics studies. J Chromatogr A. 2007; 1189(1-2):314-22. DOI: 10.1016/j.chroma.2007.10.066. View

15.

Dodig S, cepelak I . Exhaled breath condensate--from an analytical point of view. Biochem Med (Zagreb). 2013; 23(3):281-95. PMC: 3900073. DOI: 10.11613/bm.2013.034. View

16.

Magdeldin S, Hirao Y, Elguoshy A, Xu B, Zhang Y, Fujinaka H . A proteomic glimpse into human ureter proteome. Proteomics. 2015; 16(1):80-4. PMC: 4737284. DOI: 10.1002/pmic.201500214. View

17.

Dragonieri S, Schot R, Mertens B, le Cessie S, Gauw S, Spanevello A . An electronic nose in the discrimination of patients with asthma and controls. J Allergy Clin Immunol. 2007; 120(4):856-62. DOI: 10.1016/j.jaci.2007.05.043. View

18.

Kawasaki Y, Aoyagi Y, Abe Y, Go H, Imamura T, Kaneko M . Serum KL-6 levels as a biomarker of lung injury in respiratory syncytial virus bronchiolitis. J Med Virol. 2009; 81(12):2104-8. DOI: 10.1002/jmv.21634. View

19.

SRERE P . Complexes of sequential metabolic enzymes. Annu Rev Biochem. 1987; 56:89-124. DOI: 10.1146/annurev.bi.56.070187.000513. View

20.

Psychogios N, Hau D, Peng J, Guo A, Mandal R, Bouatra S . The human serum metabolome. PLoS One. 2011; 6(2):e16957. PMC: 3040193. DOI: 10.1371/journal.pone.0016957. View