ArticleMethods in molecular biology (Clifton, N.J.)2025
Evaluation of Anti-aging Agents Using the D-Galactose-Induced Accelerated Aging Model.
Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aging population is rapidly increasing, emphasizing the importance of understanding aging mechanisms and developing effective anti-aging therapies. This chapter investigates the efficacy of novel anti-aging agents, including exosomes and boron compounds, using the D-galactose-induced accelerated aging model. Both in vitro (skin organoid models) and in vivo (rat models) systems are employed to explore cellular, molecular, and histological changes. This comprehensive analysis provides critical insights into the potential of these agents in reversing age-associated pathologies.
Indexed as
Identifiers
40106151What Socratic holds
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 Socratic graph.