Untargeted metabolomic study of acute exacerbation of pediatric asthma via HPLC-Q-Orbitrap-MS

Li, Jing; Li, Xue; Wang, Xin; Li, Jie; Lin, Kexin; Sun, Shuxin; Yue, Hao; Dai, Yulin

doi:10.1016/j.jpba.2022.114737

Cited by 10 publications

(6 citation statements)

References 31 publications

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“…The aromatic amino acid phenylalanine is considered inflammatory, with higher concentrations of phenylalanine reported in adults with coronary artery disease 45 , 46 and infants at risk for cardiovascular disease with more frequent infections during the first year of life. 47 Previous studies have shown that phenylalanine concentrations are higher in children with acute exacerbations of asthma than in healthy controls, 48 in obese children with uncontrolled versus controlled asthma, 41 and in children with severe asthma who failed to respond to systemic corticosteroid therapy. 36 Likewise, imbalances in the glycine, serine, and threonine metabolism pathway are also considered inflammatory and may promote sustained oxidative stress.…”

Section: Discussionmentioning

confidence: 99%

Metabolomics identifies disturbances in arginine, phenylalanine, and glycine metabolism as differentiating features of exacerbating atopic asthma in children

Cottrill

Chandler

Kobara

et al. 2023

Journal of Allergy and Clinical Immunology: Global

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Section: Discussionmentioning

confidence: 99%

Metabolomics identifies disturbances in arginine, phenylalanine, and glycine metabolism as differentiating features of exacerbating atopic asthma in children

Cottrill

Chandler

Kobara

et al. 2023

Journal of Allergy and Clinical Immunology: Global

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“…A recently published study comparing children with acute asthma exacerbations and healthy controls reported similar results to ours. Despite investigating urine by high-performance liquid chromatography mass spectrometry, they also reported an elevated level of tyrosine metabolism including gentisate and increased glucuronate as well as a downregulated linoleic acid metabolite and palmitic acid in children with acute asthma (Li et al, 2022).…”

Section: Discriminative Breath Patterns and Their Metabolic Associationsmentioning

confidence: 99%

Online breath analysis with SESI/HRMS for metabolic signatures in children with allergic asthma

Weber

Streckenbach²,

Welti³

et al. 2023

Front. Mol. Biosci.

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Introduction: There is a need to improve the diagnosis and management of pediatric asthma. Breath analysis aims to address this by non-invasively assessing altered metabolism and disease-associated processes. Our goal was to identify exhaled metabolic signatures that distinguish children with allergic asthma from healthy controls using secondary electrospray ionization high-resolution mass spectrometry (SESI/HRMS) in a cross-sectional observational study.Methods: Breath analysis was performed with SESI/HRMS. Significant differentially expressed mass-to-charge features in breath were extracted using the empirical Bayes moderated t-statistics test. Corresponding molecules were putatively annotated by tandem mass spectrometry database matching and pathway analysis.Results: 48 allergic asthmatics and 56 healthy controls were included in the study. Among 375 significant mass-to-charge features, 134 were putatively identified. Many of these could be grouped to metabolites of common pathways or chemical families. We found several pathways that are well-represented by the significant metabolites, for example, lysine degradation elevated and two arginine pathways downregulated in the asthmatic group. Assessing the ability of breath profiles to classify samples as asthmatic or healthy with supervised machine learning in a 10 times repeated 10-fold cross-validation revealed an area under the receiver operating characteristic curve of 0.83.Discussion: For the first time, a large number of breath-derived metabolites that discriminate children with allergic asthma from healthy controls were identified by online breath analysis. Many are linked to well-described metabolic pathways and chemical families involved in pathophysiological processes of asthma. Furthermore, a subset of these volatile organic compounds showed high potential for clinical diagnostic applications.

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“…Choi et al [90], for example, evaluated the total phenolic content and determined eleven of them by PCA, to study the effect of storage time and heat treatment on dried citrus peels (used in Chinese traditional medicine). Li et al [91], instead, used an untargeted analytical method for the metabolomic study of urine samples to find possible biomarkers of pediatric asthma using three chemometric elaborations (PCA, PLS-DA and OPLS-DA). With this method, the authors were able to find a total of 26 potential biomarkers, 17 of which were found to be associated with respiratory diseases.…”

Section: High-performance Liquid Chromatography (Hplc) and Chemometricsmentioning

confidence: 99%

“…Several examples of HPLC analyses coupled with chemometric for clinical applications are present in the literature. Indeed, metabolomic studies on biological fluids (e.g., urine, saliva, blood and serum) can be useful to detect the presence of a disease and to discriminate healthy and sick patients, as in the already cited work of Li et al [91]. Moreover, they can be non-invasive for the patients if carried out on urine or saliva, which should be greatly encouraged, and the use of chemometric tools becomes crucial to evaluate the contemporary effect of several metabolites.…”

Section: High-performance Liquid Chromatography (Hplc) and Chemometricsmentioning

confidence: 99%

Extracting Information and Enhancing the Quality of Separation Data: A Review on Chemometrics-Assisted Analysis of Volatile, Soluble and Colloidal Samples

et al. 2023

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Instrument automation, technological advancements and improved computational power made separation science an extremely data-rich approach, requiring the use of statistical and data analysis tools that are able to optimize processes and combine multiple outputs. The use of chemometrics is growing, greatly improving the ability to extract meaningful information. Separation–multidetection generates multidimensional data, whose elaboration should not be left to the discretion of the operator. However, some applications or techniques still suffer from the lack of method optimization through DoE and downstream multivariate analysis, limiting their potential. This review aims at summarizing how chemometrics can assist analytical chemists in terms of data elaboration and method design, focusing on what can be achieved by applying chemometric approaches to separation science. Recent applications of chemometrics in separation analyses, in particular in gas, liquid and size-exclusion chromatography, together with field flow fractionation, will be detailed to visualize the state of the art of separation chemometrics, encompassing volatile, soluble and solid (colloidal) analytes. The samples considered will range from food chemistry and environmental chemistry to bio/pharmaceutical science.

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Untargeted metabolomic study of acute exacerbation of pediatric asthma via HPLC-Q-Orbitrap-MS

Cited by 10 publications

References 31 publications

Metabolomics identifies disturbances in arginine, phenylalanine, and glycine metabolism as differentiating features of exacerbating atopic asthma in children

Metabolomics identifies disturbances in arginine, phenylalanine, and glycine metabolism as differentiating features of exacerbating atopic asthma in children

Online breath analysis with SESI/HRMS for metabolic signatures in children with allergic asthma

Extracting Information and Enhancing the Quality of Separation Data: A Review on Chemometrics-Assisted Analysis of Volatile, Soluble and Colloidal Samples

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