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pmid:39337483
Tear Proteomics in Children and Adolescents with Type 1 Diabetes: A Promising Approach to Biomarker Identification of Diabetes Pathogenesis and Complications.
Eleni Angelopoulou · Rosa-Anna Kitani · Rafael Stroggilos · Vasiliki Lygirou · Ioannis-Anargyros Vasilakis · Konstantina Letsou · Antonia Vlahou · Jerome Zoidakis · Martina Samiotaki · Christina Kanaka-Gantenbein · Nicolas C Nicolaides
International journal of molecular sciences · 2024 doi:10.3390/ijms25189994
Paper
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Experiment
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Data
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Analysis
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Execution
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Complete file
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Fifty-six children with T1D at least one year after diagnosis, aged 6-17 years old, and fifty-six healthy age- and sex-matched controls were enrolled in this cross-sectional study. The proteomic analysis was based on liquid chromatography tandem mass spectrometry (LC-MS/MS) enabling the identification and quantification of the protein content via Data-Independent Acquisition by Neural Networks (DIA-NN). Data are available via ProteomeXchange with the identifier PXD052994. In total, 3302 proteins were identified from tear samples. Two hundred thirty-nine tear proteins were differentially expressed in children with T1D compared to healthy controls. Most of them were involved in the immune response, tissue homeostasis and inflammation. The presence of diabetic ketoacidosis at diagnosis and the level of glycemic control of children with T1D influenced the tear proteome. 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