Proteomics

Dataset Information

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Proteomic profiling of allergic march in children


ABSTRACT: Identifying children at risk of developing asthma is crucial in guiding targeted preventive therapies. In recent years, researchers have proposed several candidate biomarkers for predicting AM. One such biomarker is fatty-acid-binding protein 5 (FABP5), which correlates with interleukin-17A levels in both the skin and serum, suggesting its potential as a biomarker for AM. Specific IgE, skin prick tests, and cytokine ratios show promise in predicting asthma development.3 However, while these proposed biomarkers are the subject of research on the skin, no biomarkers are identified through blood proteomics. Although AD may initially result from skin barrier dysfunction, systemic sensitization and changes in systemic immune response may predominantly contribute to asthma after AD. Therefore, this study aims to identify blood biomarkers in early life to predict AM progression among infants initially diagnosed with AD. The study participants included 20 healthy controls, 15 with AD, 11 with asthma, and 21 with AM (children aged 7 years old). All participants were diagnosed with asthma, and a history of AD was confirmed by a physician. The protein expression profiles in plasma samples collected from 3-year-olds before the onset of AM were evaluated using sequential window acquisition of all theoretical mass spectra.

INSTRUMENT(S): ZenoTOF 7600

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

SUBMITTER: Jeonghun Yeom  

LAB HEAD: Jeonghun Yeom

PROVIDER: PXD050231 | Pride | 2025-05-06

REPOSITORIES: Pride

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Publications

Predictive biomarker for allergic March in children using blood proteomics.

Kang Mi-Jin MJ   Kwak Do-Hyeon DH   Park Hyowon H   Kim Hyunjung H   Yeom Jeonghun J   Lee So-Yeon SY   Choi Sun Shim SS   Hong Soo-Jong SJ  

Pediatric pulmonology 20241029 1


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