Articlenpj metabolic health and disease2025
Cave adaptation favors aging resilience in the Mexican tetra.
Article in npj metabolic health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
All animals age, but the rate of aging across species varies widely. The environmental pressures and molecular factors underlying this remarkable diversity in aging across species remains largely enigmatic. The Mexican tetra, Astyanax mexicanus, provides an intriguing new model to study how adaptation to different environments alter aging. This species exists as the river-dwelling surface fish, living in food and light rich environments, and the blind cave-adapted cavefish, thriving in dark, nutrient-limited, caves. How adaption to these extreme environments alter aging in this species remains unknown. Here, we compared aging markers between surface and cavefish populations, focusing on morphological, behavioral changes, and molecular signatures. We found aging markers were more pronounced in surface fish, but less distinct in aged cavefish. We also observed that insulin receptor mutation is limited in its impact to increase lifespan in cavefish. Instead, metabolic shifts, particularly in mitochondrial function, may contribute to cavefish's extended longevity.
Identifiers
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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.