Skin Protection and Aging

Moving in Cell, Environmental pollution, medRxiv, Communications Biology, mSystems and Nature Plants.

Moved, week to 23 Oct 2026: 0
Papers in 60 days: 9

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Author Correction: B7-H3 promotes skin photodamage through ITGA2-NRF2-TFAM-mediated mitochondrial oxidative stress.
Communications Biology · 21 Oct 2026 · Published Erratum
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Sunscreen condensates.
Nature Plants · 1 Oct 2026 · Journal Article
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Time- and temperature-dependent molecular responses to UV-filter 2-ethylhexyl salicylate revealed by dose-dependent yeast functional genomics.
Environmental pollution · 1 Oct 2026 · Journal Article
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A 56-Day Single-Arm Exploratory Study of NatureU Mind Care BeautyU Caps on Crow's-Feet Wrinkle Count, Skin Hydration, and Related Skin-Aging Parameters in Adult Women
medRxiv · 22 Sept 2026 · Preprint
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https://jclub.com.au/a/10.64898/2026.05.07.26351904
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Age-adjusted machine learning identifies facial skin microbes associated with skin quality among Korean women.
mSystems · 22 Sept 2026 · Journal Article
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Spatial biology reveals altered macrophage states in immunosuppressed non-melanoma skin cancer.
Cell · 17 Sept 2026 · Journal Article
Immunosuppressed non-melanoma skin cancers show significant spatial and functional changes in macrophage and immune cell organization, with reduced macrophage densities and altered niches.
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Embryonic developmental toxicity and potential endocrine disruption in an estuarine benthic fish under binary and ternary exposures to organic ultraviolet absorbents.
Environmental pollution · 15 Sept 2026 · Journal Article
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Skin-innervating glutamatergic neurons modulate aging.
Cell · 3 Sept 2026 · Journal Article
Glutamatergic neurons expressing Nefh in skin nerves regulate collagen maintenance and delay aging, with Nefh reduction accelerating skin aging in mice.
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An Interpretable Cost-Aware Framework for Mitigating Bias in Skin Lesion Classification Across Diverse Skin Tones
medRxiv · 2 Sept 2026 · Preprint
Cost-Aware EfficientNet (CAEN) achieves up to 87% recall in skin lesion classification across diverse skin tones, reducing bias in dermatological AI by 16.75% over previous models.
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https://jclub.com.au/a/10.1101/2024.12.11.24318858
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