加齢黄斑変性の理解と治療に向けた「眼細胞のデジタルツイン」を開発(NIH scientists develop “digital twin” of eye cells to understand and treat age-related macular degeneration)

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2026-02-10 アメリカ国立衛生研究所(NIH)

米国立衛生研究所(NIH)の研究チームは、加齢黄斑変性(AMD)の理解と治療法開発を目的に、網膜色素上皮(RPE)細胞の「デジタルツイン」を開発した。これは、実際のヒトRPE細胞から得られた分子データを基に、細胞内の代謝やストレス応答、老化過程を計算機上で再現する仮想モデルである。研究では、このデジタルツインを用いて、AMDで重要な役割を果たす酸化ストレスやミトコンドリア機能障害の進行を詳細に解析し、疾患関連経路を特定した。さらに、仮想環境で治療介入をシミュレーションすることで、細胞機能を回復させる可能性のある治療標的を予測できることを示した。本成果は、実験負担を軽減しつつ精密医療を加速する新手法として、AMD治療研究に大きく貢献すると期待される。

加齢黄斑変性の理解と治療に向けた「眼細胞のデジタルツイン」を開発(NIH scientists develop “digital twin” of eye cells to understand and treat age-related macular degeneration)
Representative image of a polarized iRPE cell. Phalloidin staining shows cell borders (magenta), Hoechst labels nuclei (cyan), while TOMM20 tagged with mEGFP was used to visualize mitochondria (yellow).

<関連情報>

AI駆動型3D細胞内RPEマップは、頂基底極性の確立における細胞状態遷移を発見する AI driven 3D subcellular RPE map discovers cell state transitions in establishment of apical-basal polarity

Davide Ortolan,Pushkar Sathe,Andrei Volkov,Dominik Reichert,Sheldon Sebastian,Arvydas Maminishkis,Nicholas J. Schaub,Bengt Ljungquist,Devika Bose,Jorge Ferrari,Nyusha Lin,Gianluca Pegoraro,Carl G. Simon Jr,Ruchi Sharma,Peter Bajcsy & Kapil Bharti
npj Artificial Intelligence  Published:06 February 2026
DOI:https://doi.org/10.1038/s44387-026-00074-6

Abstract

The retinal pigment epithelium (RPE) is a specialized cell monolayer that forms the barrier between the subretinal and choroidal spaces. During development, RPE cells polarize perpendicular to the monolayer plane such that organelles attain specific intracellular locations. This allows the RPE to differentially interact with overlying photoreceptors and underlying choriocapillaris. When RPE polarity is disrupted, tissue homeostasis is disturbed, leading to retinal degeneration. The subcellular organizational principles of RPE polarity are unknown. We developed an artificial intelligence (AI), specifically a mask region-based convolutional neural network-assisted high-content image analysis platform combined with mathematical modeling to develop a quantitative three-dimensional digital twin of RPE subcellular structures during the establishment of apical/basal polarity, polarity organization with learning-based analysis for RPE image segmentation (POLARIS). We discovered, during apical/basal polarization, cells constrict along the lateral axis and elongate apically, nuclear volume decreases, nuclear envelope develops invaginations, junctional complexes consolidate to the lateral membrane, the endoplasmic reticulum and mitochondria increase in volume and translocate towards the nucleus, and lysosomes move towards the central-apical side. AI algorithm and mathematical analysis reveal non-stochastic cell state transitions and organelle interactions in 3D during RPE polarization. These integrated AI-based quantitative data provide a reference digital twin to discover intracellular defects in diseased RPE.

医療・健康
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