ArticleNature communications2025
An AI-assisted fluorescence microscopic system for screening mitophagy inducers by simultaneous analysis of mitophagic intermediates.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Ultrasound-activated piezoelectric patch enhances mitophagy and synergistic anti-inflammation to promote neurological repair after TBI.Bioactive materials · 2027Article
- Exercise as a Programmable Regulator of Mitophagy Sensitivity in Aging Muscle and Age-Related Disease.IUBMB life · 2026Review
- Advanced Open-Source Experimental-Design Tools for Microplate-Based Assays with Acoustic Liquid Handling.bioRxiv : the preprint server for biology · 2026Article
- Isoginkgetin protects against degeneration of ALS motor neurons via regulating the GSK-3β-TFEB signaling axis.Pharmacological research · 2026Article
- The Axon as a Self-Modifying Computational System: Autonomous Inference, Adaptive Propagation, and AI-Enabled Mechanistic Insight.International journal of molecular sciences · 2026Review
- Mitochondrial ecosystem restoration in Alzheimer's disease: from mechanisms to multi-target therapeutic strategies.Frontiers in cell and developmental biology · 2026Review
- An AI-assisted fluorescence microscopic system for screening mitophagy inducers by simultaneous analysis of mitophagic intermediates.Nature communications · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
Mitophagy, the selective autophagic elimination of mitochondria, is essential for maintaining mitochondrial quality and cell homeostasis. Impairment of mitophagy flux, a process involving multiple sequential intermediates, is implicated in the onset of numerous neurodegenerative diseases. Screening mitophagy inducers, particularly understanding their impact on mitophagic intermediates, is crucial for neurodegenerative disease treatment. However, existing techniques do not allow simultaneous visualization of distinct mitophagic intermediates in live cells. Here, we introduce an artificial intelligence-assisted fluorescence microscopic system (AI-FM) that enables the uninterrupted recognition and quantification of key mitophagic intermediates by extracting mitochondrial pH and morphological features. Using AI-FM, we identify a potential mitophagy modulator, Y040-7904, which enhances mitophagy by promoting mitochondria transport to autophagosomes and the fusion of autophagosomes with autolysosomes. Y040-7904 also reduces amyloid-β pathologies in both in vitro and in vivo models of Alzheimer's disease. This work offers an approach for visualizing the entire mitophagy flux, advancing the understanding of mitophagy-related mechanisms and enabling the discovery of mitophagy inducers for neurodegenerative diseases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.