ArticleCell2023
Liquid-biopsy proteomics combined with AI identifies cellular drivers of eye aging and disease in vivo.
Article in Cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
86 citing papers in PubMed, 3 syntheses or guidelines pooled it, 93 citations in OpenAlex.
- [Collection of aqueous humor samples for proteome analyses].Die Ophthalmologie · 2026Pooled it
- [Liquid biopsy proteomics in ophthalmology : A clinical and scientific perspective].Die Ophthalmologie · 2026Pooled it
- Virus in infectious uveitis: bibliometric analysis and a clinical study.Frontiers in microbiology · 2025Pooled it
- LECT2-RPS27A interaction involving Lys48 attenuates neuroinflammation in diabetic retinopathy.Diabetologia · 2026Article
- High-Dimensional Vitreous Proteomics Identifies Epigenetic Pathway Signatures in Vitreoretinal Lymphoma.Ophthalmology science · 2026Article
- Article
- Transcending genome-wide association studies to create useful multi-omic views of glaucoma.Progress in retinal and eye research · 2026Review
- Innovative strategies for diabetic peripheral neuropathy: From clinical management to emerging bioengineering solutions.Bioactive materials · 2026Review
- Integrated intraocular-plasma proteomics reveals conserved biomarkers for diabetic retinopathy progression: a multi-fluid biopsy study.Diabetologia · 2026Article
- Deep Proteomic Analysis With Machine Learning Identifies Aqueous Humor Biomarkers of ADAMTSL4-associated Congenital Ectopia Lentis.Investigative ophthalmology & visual science · 2026Article
- Proteomic clocks combined with deep learning phenotypes track eye aging and diseases.NPJ digital medicine · 2026Article
- Special Issue "Integrated Approaches, Molecular Mechanisms and Therapies in Ocular Surface Diseases".International journal of molecular sciences · 2026Article
- Plasma proteomic signatures of cellular aging predict human disease.Nature medicine · 2026Article
- Plasma proteomic signatures of early retinal neurodegeneration in diabetes: A multi-cohort study.PLoS medicine · 2026Observational
- Clinical application of liquid biopsy in the diagnosis and treatment of lung cancer: taking ctDNA for example-a narrative review.Journal of thoracic disease · 2026Review
- A multimodal ocular aging index reveals proteomic pathways and predicts incident age-related eye diseases.npj aging · 2026Article
- Artificial intelligence and neurodegeneration: state of the art and explainability.International journal of retina and vitreous · 2026Review
- Longitudinal Multi-Omics Profiling of Aqueous Humor Implicates GALNS Depletion as a Pro-Fibrotic Mediator of Anti-VEGF Therapy in PDR.Investigative ophthalmology & visual science · 2026Article
- Interaction-aware dexterous robot for minimally invasive transcanal inner ear interventions.Nature communications · 2026Article
- The retina-body axis: proteomic mechanisms linking oculomics and clinical traits in a female aging cohort.npj aging · 2026Article
26 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 6 institutions in 3 countries.
Funding
Abstract
Single-cell analysis in living humans is essential for understanding disease mechanisms, but it is impractical in non-regenerative organs, such as the eye and brain, because tissue biopsies would cause serious damage. We resolve this problem by integrating proteomics of liquid biopsies with single-cell transcriptomics from all known ocular cell types to trace the cellular origin of 5,953 proteins detected in the aqueous humor. We identified hundreds of cell-specific protein markers, including for individual retinal cell types. Surprisingly, our results reveal that retinal degeneration occurs in Parkinson's disease, and the cells driving diabetic retinopathy switch with disease stage. Finally, we developed artificial intelligence (AI) models to assess individual cellular aging and found that many eye diseases not associated with chronological age undergo accelerated molecular aging of disease-specific cell types. Our approach, which can be applied to other organ systems, has the potential to transform molecular diagnostics and prognostics while uncovering new cellular disease and aging mechanisms.
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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.