OSEA Advanced Repair Eye Cream for dry sensitive skin

Questions and answers

What the research says

• A single application of a moisturizing fluid containing hyaluronic acid 1%, glycerin 5%, and Centella asiatica stem cells extract significantly increased skin hydration by 29% and reduced transepidermal water loss at 24 hours compared to baseline and an untreated control site in twenty healthy women.

  Clinical, Cosmetic and Investigational Dermatology, 2017

• Topical application of a vitamin C-squalene bioconjugate significantly increased epidermal thickness, type III collagen production, and glycosaminoglycans production in human skin explants compared to free vitamin C and vitamin C-palmitate.

  Scientific Reports, 2020

• A combination cream of stimu-tex AS and saccharide isomerate reduced erythema, increased skin capacitance, and reduced transepidermal water loss compared to placebo in 20 subjects after fractional CO2 laser procedure without causing serious adverse events.

  Lasers in Medical Science, 2025

• A skin barrier restoring cream with shea butter, silkflo, and vitamin E increased type I procollagen synthesis, enhanced antioxidant enzyme activity, decreased reactive oxygen species generation, and promoted hyaluronic acid production in H2O2-stimulated human keratinocyte cells compared to untreated cells.

  International Journal of Cosmetic Science, 2025

• Squalane at 0.005-0.015% counteracts UVA-induced oxidative stress, inflammation, and collagen metabolism inhibition while stimulating fibroblast migration in human dermal fibroblasts.

  Molecules, 2025

• Plant-derived squalane protected human dermal fibroblasts against UVA-induced damage by counteracting ROS formation, suppressing apoptosis-related proteins p53, caspase-3, caspase-9, and PARP, and restoring the pro-survival p-Akt/mTOR pathway.

  Antioxidants, 2025

• A topical cosmetic slimming product containing tetrahydroxypropyl ethylenediamine, caffeine, carnitine, forskolin and retinol significantly reduced body circumferences and improved skin aspect compared with placebo in 78 women over 12 weeks.

  International Journal of Cosmetic Science, 2011

• Topical sunscreen formulations containing caffeine combined with UV filters increased in vivo anti-UVB protection by approximately 25% and showed higher SPF values compared to caffeine-free sunscreen, while being well tolerated by the skin of healthy subjects.

  Frontiers in Physiology, 2019

• Caffeine gel combined with choline geranate showed high skin permeation capacity and superior clinical results in cellulite treatment compared to caffeine gel without ionic liquid.

  AAPS PharmSciTech, 2021

• Topical application of a 3% horse chestnut extract gel significantly decreased wrinkle scores at the corners of the eye and lower eyelid skin compared with controls in 40 healthy female volunteers.

  Journal of Cosmetic Science, 2006

• Topical horse chestnut extract increases wound tensile strength and collagen organization in rats without inducing fibroblast to myofibroblast conversion in vitro, though it induces fibronectin-rich extracellular matrix formation.

  Molecules, 2020

Ingredients

Water, Butyrospermum Parkii Butter Shea Butter, Glycerin, Coco-Caprylate Caprate, Caprylic Capric Triglyceride, Cetearyl Olivate, Propanediol, Squalane, Sorbitan Olivate, Cetearyl Alcohol, Macadamia Ternifolia Seed Oil, Dipalmitoyl Hydroxyproline, Behenyl Alcohol, Carthamus Tinctorius Seed Oil, Myristyl Myristate, Chlorella Vulgaris Extract, Fucus Vesiculosus Extract, Rice Bran Extract, Rosmarinus Officinalis Leaf Extract Rosemary Leaf Extract, Helianthus Annuus Extract Sunflower Extract, Gluconolactone, Sodium Chloride, Glyceryl Caprylate, Bacillus Ferment, Fructose, Aesculus Hippocastanum Extract, Caffeine, Tocopherol, Xanthan Gum, Caprylhydroxamic Acid, 2-Hexanediol, Trisodium Ethylenediamine Disuccinate, Citric Acid, Sodium Benzoate, Potassium Sorbate

Behind this fit score

Lovi calculates every fit score from the full ingredient list with brand-independent rules our dermatologists and cosmetic chemists build and review, and personalizes every pick with AI trained on the real results of millions of users. Lovi trains its fit score models on a proprietary dataset built from more than 10,000 expert-labeled products and more than 100,000 simulated examples, following an internally consistent methodology presented at Cosmoprof, AMWC, and Skin of Color Update.