research Human hair follicle transcriptome profiling: a minimally invasive tool to assess molecular adaptations upon low‐volume, high‐intensity interval training
Hair follicle analysis can track body changes from high-intensity interval training.
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research The Association of Cutaneous Lichen Planus and Metabolic Syndrome: A Case-Control Study
People with cutaneous Lichen Planus are more likely to have Metabolic Syndrome and related conditions like high cholesterol, diabetes, and high blood pressure.
research In search of hair damage using metabolomics?
Metabolomics can identify hair damage markers, but its use in creating treatments is uncertain.
research scRNA+TCR-seq Reveals the Proportion and Characteristics of Dual TCR Treg Cells in Mouse Lymphoid and Non-lymphoid Tissues
Dual TCR Treg cells are common in various mouse tissues and show diverse characteristics.
research L-Selectin and Adiponectin as Novel Biochemical-Immune Markers for the Response of Infertile Polycystic Ovary Syndrome Patients to Metformin Treatment
L-Selectin and adiponectin can help identify PCOS patients who respond to Metformin treatment.
research Electron microscopic and autoradiographic study of S35-L-cystine incorporation in mouse hair follicles
Mice hair follicles take in the amino acid cystine.
research Inhibition of lipogenesis and sebum secretion for Lotus corniculatus seed extract in vitro and in vivo
Lotus corniculatus seed extract reduces oily skin by decreasing sebum production.
research Formulation and optimization of folate-bovine serum albumin-coated ethoniosomes of pterostilbene as a targeted drug delivery system for lung cancer: In vitro and in vivo demonstrations
The new drug delivery system effectively targets lung cancer cells.
research Color Doppler Ultrasound Pattern of Cutaneous Exosomes at High and Ultra-High Frequency.
Exosome treatments may cause mild inflammation, new blood vessel growth, and hair growth, detectable by ultrasound.
research Machine learning predicts scarring progression in lichen planopilaris: A multidimensional model integrating trichoscopy, vitamin D, and diagnostic timelines
A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.