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RESEARCH PAPER / 2026-04-13

Mapping the Fine-Scale Metabolic Heterogeneity of the Honeybee Brain by Mass Spectrometry Imaging.

Liangliang Qu, Zhuozhen Li, Ruiyue Wang, Yijiao Qu, Lili Chen, Jing Han, Huihui Liu, Xiali Guo, Wenjie Yu, Jinwang Li, Baoguo Sun, Kai Wang, Zongxiu Nie, Liping Luo

Key Laboratory of Geriatric Nutrition and Health (School of Food and Health, Beijing Technology and Business University), Ministry of Education, Beijing 100048, China.Key Laboratory of Geriatric Nutrition and Health (School of Food and Health, Beijing Technology and Business University), Ministry of Education, Beijing 100048, China. · pubmed

Abstract

Mapping the spatiotemporal heterogeneity of metabolites is the key to understanding the complex physiological changes in organisms.The honeybee serves as an outstanding model for neurobiology and aging research, yet constructing a spatial metabolome atlas of the honeybee brain remains a challenge due to its tiny and fragile nature. As such, we systematically optimized the sample preparation protocols for mass spectrometry imaging analysis of the honeybee brain. In brief, we use undissected brains and a system of gelatin embedding to maintain tissue integrity while profiling the region-specific distributions of metabolites across multiple brain regions. Our results revealed that metabolic profiles significantly differ between different brain regions, with functionally related brain regions exhibiting similar metabolic signatures. By employing this strategy, we compared the spatial metabolomes of the longer-lived queen bees and the shorter-lived worker bees, revealing their metabolic divergence of cardiolipin and other glycerophospholipids within the mushroom body and compound eyes. This study further the methodology for spatial metabolomics of model insect brain and highlights the heterogeneity and complexity of metabolic aging at the suborgan level.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper claims to reveal metabolic divergence between longer-lived queen bees and shorter-lived worker bees in the honeybee brain. This research is relevant as it explores metabolic changes associated with aging in a model organism, contributing to the understanding of the biological mechanisms underlying longevity.

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