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To address this gap, our study employed a comprehensive approach that integrates untargeted metabolomics, proteomics, and machine learning-based feature selection to identify and validate GCLC as a candidate biomarker and therapeutic target

Lack of organelles and death receptors such as TNR-R1 (CD120a), TNR-R2 (CD120b), TRAIL-R1 (DR4), TRAIL-R2 (DR5) in mature erythrocytes, which are known to be involved in necroptosis induction, determine the presence of erythrocyte-specific features of erythrocyte necroptosis highlighted in a recently published review, which resulted in the emergence of the term erythronecroptosis to describe RIPK1/RIPK3/MLKL-dependent lytic cell death of mature erythrocytes [28]

However, there is a lack of systematic research exploring the relationship between these properties, particularly in the context of novel matrices, which merits further investigation