AIがマウス全身を細胞レベルで解析、肥満による未知の神経損傷を発見(Artificial intelligence analyzes whole mouse bodies down to cell level)

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2026-05-20 ミュンヘン大学(LMU)

ドイツのLudwig Maximilian University of Munich(LMU Munich)の研究チームは、人工知能(AI)を用いてマウス全身を細胞レベルで解析する技術を開発した。研究では、高解像度イメージングデータと機械学習を組み合わせ、臓器や組織全体を自動的に解析・分類することで、従来は膨大な時間を要した細胞分布や病変解析を高速化した。AIは、個々の細胞の位置や種類、組織構造の変化を全身スケールで識別可能であり、発生学、腫瘍研究、免疫学、薬剤評価など幅広い生命科学研究への応用が期待される。研究者らは、全身レベルでの細胞地図作成が、疾患メカニズム解明や精密医療研究を加速すると述べている。

AIがマウス全身を細胞レベルで解析、肥満による未知の神経損傷を発見(Artificial intelligence analyzes whole mouse bodies down to cell level)
Whole-Body Analysis
MouseMapper automatically segments 31 organs and tissue types in a mouse while simultaneously mapping neural and immune cells throughout the body. This enables comprehensive multi-organ analyses in intact mice.© Ertürk Lab | Helmholtz Munich

<関連情報>

深層学習フレームワークにより、細胞レベルでの全身的な摂動が明らかになる A deep-learning framework reveals whole-body perturbations at cell level

Doris Kaltenecker,Izabela Horvath,Rami Al-Maskari,Ying Chen,Zeynep Ilgin Kolabas,Luciano Hoeher,Mihail Todorov,David-Paul Minde,Saketh Kapoor,Sena Gül Turhan,Louis B. Kuemmerle,Hanno Steinke,Tim Wohlgemuth,Mayar Ali,Florian Kofler,Pauline Morigny,Julia Geppert,Denise Jeridi,Bastian Wittmann,Jie Luo,Suprosanna Shit,Carolina Cigankova,Victor Miro Kolenic,Nilsu Gür,… Ali Ertürk
Nature  Published:20 May 2026
DOI:https://doi.org/10.1038/s41586-026-10535-2

Abstract

Many diseases, including obesity, have systemic effects that perturb multiple organ systems throughout the body1,2. However, tools for comprehensive, high-resolution analysis of disease-associated changes at the whole-body scale have been lacking. Here we developed MouseMapper, a suite of foundation-model-based deep-learning algorithms enabling multi-system analysis of disease across the entire mouse body. MouseMapper enables whole-body quantitative analysis of nerves and immune cells, resolving fine axonal branches and immune-cell clusters while automatically segmenting 31 organs and tissues. We used MouseMapper to study diet-induced obesity, and identified structural alterations of the infraorbital branch of the trigeminal ganglia. This structural impairment in infraorbital nerves was associated with functional sensory deficits in whisker sensing. Furthermore, we identified proteomic changes in the trigeminal ganglion affecting axon remodelling and complement pathways both in mice and humans. MouseMapper also generated detailed three-dimensional inflammation maps by characterizing immune cell cluster compositions across tissues. The MouseMapper framework demonstrates robust generalizability across different imaging resolutions and datasets. Our study provides a powerful, scalable approach for identifying and quantifying systemic pathologies, bridging molecular insights from animal models to human conditions.

医療・健康
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