ReviewSeminars in cell & developmental biology2021
Aging biomarkers and the brain.
Review in Seminars in cell & developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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
44 citing papers in PubMed.
- Retinal Layer Changes With Aging and Cognitive Decline in Rhesus Macaques.Translational vision science & technology · 2026Article
- Telomere length as a predictive marker for long-term cognitive function in a mouse model of subarachnoid hemorrhage.Neural regeneration research · 2026Article
- Causal relationship between aging-related biomarkers and osteoporosis: A bidirectional two-sample Mendelian randomization study.The Journal of international medical research · 2026Article
- Epigenetic Aging Clocks Associate with Cognitive Status but Not Cognitive Decline: Evidence from the Parkinson's Progression Markers Initiative.medRxiv : the preprint server for health sciences · 2026Article
- Differential Gene Expression in Human Hippocampus With Aging.Aging cell · 2026Article
- Voxel-Wise Whole-Brain Analysis in Quantitative Susceptibility Mapping: A Narrative Review.Human brain mapping · 2026Review
- Migration Effects on Cognition: Protocol for the Aging in Kerala Americans Research Study.JMIR research protocols · 2026Article
- Neuromarkers of Adaptive Neuroplasticity and Cognitive Resilience Across Aging: A Multimodal Integrative Review.Neurology international · 2026Review
- Neurogenesis and Neuroinflammation in Dialogue: Mapping Gaps, Modulating Microglia, Rewiring Aging.Cells · 2026Review
- Prediction of brain age using structural magnetic resonance imaging: a comparison of clinical utility of publicly available software packages.EBioMedicine · 2026Article
- Subcortical Brain-Age Gaps Reveal Asymmetric Aging Patterns in Parkinson's Disease With Cognitive Impairment.Brain and behavior · 2026Article
- Genetic influence of the brain on epigenetic age acceleration: evidence of a large-scale genetic correlation study.Biogerontology · 2025Article
- Epigenetic age acceleration in peripheral blood correlates with brain-MRI age acceleration.Brain : a journal of neurology · 2025Article
- Spermidine supplementation and protein restriction protect from organismal and brain aging independently.Aging · 2025Article
- Age group classification based on optical measurement of brain pulsation using machine learning.Scientific reports · 2025Article
- Characterizing changes to individual-specific brain signature with age.Frontiers in aging neuroscience · 2025Article
- Non-invasive biomarkers for brain aging: the role of autophagy-related microRNAs in plasma exosomes.Frontiers in molecular neuroscience · 2025Article
- P-Wave Duration Is Associated With Aging Patterns in Structural Brain Networks.Journal of the American Heart Association · 2024Article
- Multimodal brain age prediction using machine learning: combining structural MRI and 5-HT2AR PET-derived features.GeroScience · 2024Article
- Retro-age: A unique epigenetic biomarker of aging captured by DNA methylation states of retroelements.Aging cell · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Quantifying biological aging is critical for understanding why aging is the primary driver of morbidity and mortality and for assessing novel therapies to counter pathological aging. In the past decade, many biomarkers relevant to brain aging have been developed using various data types and modeling techniques. Aging involves numerous interconnected processes, and thus many complementary biomarkers are needed, each capturing a different slice of aging biology. Here we present a hierarchical framework highlighting how these biomarkers are related to each other and the underlying biological processes. We review those measures most studied in the context of brain aging: epigenetic clocks, proteomic clocks, and neuroimaging age predictors. Many studies have linked these biomarkers to cognition, mental health, brain structure, and pathology during aging. We also delve into the challenges and complexities in interpreting these biomarkers and suggest areas for further innovation. Ultimately, a robust mechanistic understanding of these biomarkers will be needed to effectively intervene in the aging process to prevent and treat age-related disease.
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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.