Study design for predicting biological age from aging-associated glycans in IgG by integrating glycomics and transcriptomics. (IMAGE)
Caption
We performed a comprehensive IgG N-glycome profiling in C57BL/6 mice at seven time points across 80 weeks by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). Alterations in glycan amount were detected using an internal full-glycome standard. By referencing exogenous standards, we introduced a novel method for detecting aging biomarkers based on their absolute concentration. Based on the absolute concentrations of aging-related IgG glycans, we established abGlycoAge index to evaluate the biological age and applied in anti-aging assessment. The potential molecular basis of these IgG aging-related glycans was explored by splenic B cell transcriptome. RNA-seq: RNA sequencing.
Credit
Huijuan Zhao, Jiteng Fan et al.
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