ReviewAsia Pacific allergy2019
Metabolomics strategies to discover new biomarkers associated to severe allergic phenotypes.
Review in Asia Pacific allergy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Exploring novel systemic biomarker approaches in grass-pollen sublingual immunotherapy using omics.Allergy · 2021Trial
- A circulating odd-chain fatty acid biomarker signature discriminates pediatric allergic rhinitis with asthma from related allergic airway phenotypes.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2026Article
- AI-Driven Biomarker Discovery and Personalized Allergy Treatment: Utilizing Machine Learning and NGS.Current allergy and asthma reports · 2025Review
- Multi-biofluid metabolomics analysis of allergic respiratory rhinitis and asthma in early childhood.The World Allergy Organization journal · 2025Article
- Serum metabolomics analysis reveals potential biomarkers of penicillins-induced fatal anaphylactic shock in rats.Scientific reports · 2024Article
- A method based on plateletpheresis to obtain functional platelet, CD3Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2022Article
- Development of a Novel Targeted Metabolomic LC-QqQ-MS Method in Allergic Inflammation.Metabolites · 2022Article
- Comparative metabolomics analysis of bronchial epithelium during barrier establishment after allergen exposure.Clinical and translational allergy · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last decades have emerged new technological platforms that allow evaluation of genes, transcripts, proteins, or metabolites of a living being, so-called omics sciences. More importantly, new technics for their integration have provided access to a complete set of information of the current conditions and features of a specific biological sample in a precise moment. Thus, omic sciences are now considered an essential tool for patient stratification in base to their severity, to understand disease progression and to identify new biomarkers. Severe patients, that are out of control, provide an excellent model to understand disease evolution and to identify new intervention and biomarkers strategies. Here we discuss the use of metabolomics to understand severity in allergic diseases in a strategy that opens new insights as well as identify new biological systems relevant for allergy progression. Metabolomics strategies are based in parallel evaluation of different allergy severity models by mean of untargeted analysis that allows the identification of potential biomarkers. Overlapping of different biomarkers in multiple models, provides information of general as well as specific biological systems involved in each model. Later a selected panel of biomarkers will be used in a target method to explore the diagnosis potential to stratify allergic patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.