ArticleNature aging2022
Nuclear morphology is a deep learning biomarker of cellular senescence.
Article in Nature aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers.
What it found
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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
146 citing papers in PubMed, 204 citations in OpenAlex.
- Study protocol for FAXAge: a randomized, controlled clinical trial of fasting and exercise to slow aging in humans.GeroScience · 2026Trial
- Effect of nicotinamide riboside on airway inflammation in COPD: a randomized, placebo-controlled trial.Nature aging · 2024Trial
- The responsive nucleus: morphological signatures of cellular state.Nucleus (Austin, Tex.) · 2026Review
- Article
- Mechanical regulation of cell memory.Nature structural & molecular biology · 2026Review
- SAF-A/HNRNPU regulates euchromatin dynamics and is required for nuclear envelope integrity.bioRxiv : the preprint server for biology · 2026Article
- Proteostasis of organelles in aging and disease.The FEBS journal · 2026Review
- Multidimensional Cellular Micro-Compartments to Model Invasive Lobular Carcinoma Dormancy.Advanced healthcare materials · 2026Article
- Steroid-Resistant Idiopathic Nephrotic Syndrome Reveals a Distinct Maladaptive Molecular State.Kidney international reports · 2026Article
- The mitochondrial unfolded protein response in human microglia disrupts neuronal-glial communication and promotes senescence.Nature neuroscience · 2026Article
- Mitochondrial stress response drives microglial senescence.Nature neuroscience · 2026Article
- Mitochondria-lysosome coupling contributes to lysosome acidification and aging.Molecular cell · 2026Article
- Getting nuclear size just right - emerging mechanisms regulating nuclear scaling and morphology.Journal of cell science · 2026Review
- Transcription-independent induction of rapid-onset senescence is integral to healing.Nature cell biology · 2026Article
- The nitrovinyl moiety determines the cyto- and genotoxic profiles of β-nitrostyrene derivatives: evidence from in silico and in vitro evaluation.Archives of toxicology · 2026Article
- The entropic view of aging: from thermodynamics to biology.Life medicine · 2026Article
- Time-restricted feeding improves functional capacity of adipose-derived stem cells with activation of OSK-associated transcriptional programs.npj aging · 2026Article
- NucVerse3D: generalizable 3D nuclear instance segmentation across heterogeneous microscopy modalities.Scientific reports · 2026Article
- Foundations of Gerophysics.Aging · 2026Article
- Towards a context-aware framework for cellular senescence.Biogerontology · 2026Review
86 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 5 institutions in 3 countries.
Funding
Abstract
Cellular senescence is an important factor in aging and many age-related diseases, but understanding its role in health is challenging due to the lack of exclusive or universal markers. Using neural networks, we predict senescence from the nuclear morphology of human fibroblasts with up to 95% accuracy, and investigate murine astrocytes, murine neurons, and fibroblasts with premature aging in culture. After generalizing our approach, the predictor recognizes higher rates of senescence in p21-positive and ethynyl-2'-deoxyuridine (EdU)-negative nuclei in tissues and shows an increasing rate of senescent cells with age in H&E-stained murine liver tissue and human dermal biopsies. Evaluating medical records reveals that higher rates of senescent cells correspond to decreased rates of malignant neoplasms and increased rates of osteoporosis, osteoarthritis, hypertension and cerebral infarction. In sum, we show that morphological alterations of the nucleus can serve as a deep learning predictor of senescence that is applicable across tissues and species and is associated with health outcomes in humans.
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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.