新しいイメージング手法が病気の肺組織における分子変化を明らかに(New Imaging Approach Reveals Molecular Changes in Diseased Lung Tissue)

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2026-09-25 パシフィック・ノースウェスト国立研究所(PNNL)

米国のパシフィック・ノースウェスト国立研究所(PNNL)、カリフォルニア大学サンディエゴ校、ロチェスター大学医療センターの研究チームは、質量分析イメージングと無標識光学イメージングを同一の肺組織試料に適用する新しい分子イメージング手法を開発した。質量分析では組織内の数百種類の脂質分子をマッピングし、光学イメージングでは染色剤を使わずに組織構造、代謝、タンパク質構造、コラーゲンの配置を可視化した。両者を位置合わせすることで、細胞数個程度の領域について、組織構造と分子情報を同時に把握できる。気管支肺異形成(BPD)の肺組織では、健常肺と比較して脂質、エネルギー代謝関連物質、コラーゲン構造に明確な違いが確認された。この統合的手法は、肺疾患の分子機構の解明だけでなく、将来的な診断・治療法の開発や、細胞・組織領域レベルの疾患マッピングへの応用が期待される。

新しいイメージング手法が病気の肺組織における分子変化を明らかに(New Imaging Approach Reveals Molecular Changes in Diseased Lung Tissue)
A team of researchers from Pacific Northwest National Laboratory, the University of California San Diego, and the University of Rochester Medical Center combined several advanced imaging techniques to reveal important differences between healthy lungs and those affected by bronchopulmonary dysplasia. The team’s work could help guide future medical therapies. (Image courtesy of Brittney Gorman | Pacific Northwest National Laboratory)

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共登録質量分析法と非線形光学イメージングによる肺組織のマルチスケール代謝マッピング Multiscale metabolic mapping of lung tissue via coregistered mass spectrometry and nonlinear optical imaging

Brittney L. Gorman, Zhi Li, Gail Deutsch, Heidie L. Huyck, […] , and Christopher R. Anderton
Science Advances  Published:8 Jul 2026
DOI:https://doi.org/10.1126/sciadv.aec3544

Abstract

The lung is a highly heterogeneous organ that is composed of numerous microanatomical units, each essential for maintaining intricate functions that work in concert. Disruptions in the molecular and cellular mechanisms can cause tissue fibrosis, inflammation, and severe breathing difficulties, which are common characteristics of the disease of prematurity, bronchopulmonary dysplasia (BPD). BPD’s molecular changes are not well understood, and this has hindered effective diagnosis and treatment. Here, we present a multimodal imaging workflow for detailed molecular and metabolic characterization of lung tissue at multiple spatial scales. We also developed a hierarchical multimodal registration network for precise coregistration of the data from each modality. Our results show that this approach can reveal previously unknown metabolic changes in distinct functional tissue units affected by disease, including altered lipid distributions, reduced optical redox states, and collagen remodeling. This multimodal approach provided detailed maps of molecular shifts occurring in distinct microanatomical features that, when adopted to interrogate this and other tissue types, has the potential to enable the discovery of new therapeutics.

医療・健康
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