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This study found that metabolite levels in hair samples differ significantly by hair color and segment, leading to recommendations for best practices in hair metabolomic studies.

This study found that untargeted hair metabolomics analysis detected significantly altered endogenous biomolecules, potentially serving as biomarkers for identifying oxidative cosmetic hair treatments like bleaching.

This study found that serum metabolic profiles differ significantly between polycystic ovary syndrome patients and healthy controls, highlighting potential metabolic markers for diagnosing and prognosing PCOS.

This review discusses the integration of omics analyses in androgenetic alopecia research, reporting no new clinical results but suggesting that collaborative multi-omics studies may enhance understanding of AGA's pathomechanisms.

This study developed and validated a high-resolution mass spectrometry method to screen for prohibited substances and analyze six endogenous steroids in urine according to World Antidoping Agency requirements, demonstrating its effectiveness for antidoping analysis.