ReviewBioactive materials2025
Emerging biomedical engineering strategies for hair follicle regeneration.
Review in Bioactive materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- Organoid-loaded core-shell cryomicroneedles induce biomimetic follicular units and hair regeneration.Bioactive materials · 2026Article
- Reconstructing protein conformations to activate follicular enzyme-nutrient reservoirs for reversing follicle aging.Bioactive materials · 2026Article
- A Disulfide-Sticker Strategy for Marine Adhesive Coatings: From Deciphering Self-Assembly Mechanism to Functional Application in Hair Regeneration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Plant Exosome Injections for Hair Follicle Proliferation and Immune Modulation: An Immunohistochemical Study.Plastic and reconstructive surgery. Global open · 2026Article
- ACOD1 deficiency promotes DDX1 methylation-mediated mitochondrial dysfunction and dermal papilla cell senescence in androgenetic alopecia.BMC medicine · 2026Article
- Hair follicle organoids: advances in construction, applications, and translational challenges.Frontiers in cell and developmental biology · 2026Review
- Interdisciplinarity traditional Chinese medicine microneedles in skin disease treatment: Recent advances and challenges.Bioactive materials · 2026Review
- Biomedical Technologies for Androgenic Alopecia Treatment: Advance, Mechanism and Future Direction.Research (Washington, D.C.) · 2026Review
- Treatment Strategies for Cutaneous and Oral Mucosal Side Effects of Oncological Treatment in Breast Cancer: A Comprehensive Review.Biomedicines · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hair follicle undergoes cyclical regeneration that relies on the spatiotemporal coordination of epithelial-mesenchymal interactions and multiple signaling pathways. However, hair follicle homeostasis is susceptible to disruption by various endogenous and exogenous factors, leading to hair loss diseases like androgenetic alopecia and scarring alopecia. Traditional pharmacological treatments and surgical transplantation still face challenges in meeting clinical demands because of unstable therapeutic efficacy, limited donor resources, and postoperative complications. In this condition, biomedical engineering has advanced hair follicle regeneration from "replacement therapy" to "functional reconstruction" by integrating interdisciplinary approaches such as stem cell technology, tissue engineering, and modern engineering technology. This review systematically summarizes the latest advancements in biomedical engineering technology in the realm of hair follicle regeneration. We first elucidate hair follicles' structure, cyclic regulatory mechanisms, and main impact factors. Subsequently, we evaluate the advanced
Indexed as
Identifiers
What 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.