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This study identified various non-coding RNAs (ncRNAs) and mRNAs differentially expressed in skin tissues of two coat types of Jinlan Cashmere Goats, suggesting potential regulatory networks that could inform precision breeding strategies to improve cashmere quality and yield.

This study identified 19 genes targeted by 29 potential drugs for topical treatment of chemotherapy-induced alopecia, suggesting avenues for drug repositioning in pharmaceutical research.

This review discusses potential new drug treatment strategies for alopecia areata based on genome-wide association study findings, but it reports no new clinical results.

The study investigated immune cell patterns around the hair follicle infundibulum in androgenetic alopecia, revealing significant differences in immune signatures between patients with AGA and control donors, specifically noting an enrichment of CD4 cells in the patient group.

This study found that CD2 could be a potential new therapeutic target for treating patchy-type alopecia areata, suggesting the need for further research into its role.

This study provides a comprehensive platform to explore stem cell interactions regulating hair follicle growth, revealing key signaling pathways in epithelial-mesenchymal interactions using advanced RNA sequencing and transgenic reporters.

This study investigated the potential mechanisms of Curcuma aeruginosa in treating androgenetic alopecia and identified 66 bioactive compounds interacting with proteins involved in the disorder, suggesting its involvement in hormone response and specific signaling pathways.

This review explores how various skin cell types contribute to photoaging driven by UV radiation, detailing their interactions and molecular mechanisms like oxidative stress and ECM degradation, ultimately offering insights for future anti-photoaging strategies.

This study explored the potential of stigmasterol as a treatment for androgenetic alopecia through various simulation techniques, finding promising interactions with key genes involved in hair loss, but further experimental validation is needed before clinical application.

In this study, a deep neural network model called regX was developed to prioritize driver regulators for cell state transitions by incorporating gene-level regulation and interactions, showing potential therapeutic targets in type 2 diabetes and hair follicle development when applied to single-cell multi-omics data.

This study examined the molecular communication in psoriasis cells, highlighting unique immune cell interactions and identifying new features of the hair follicle cell-psoriasis axis. It suggests the potential for targeted therapies at the single-cell level to improve psoriasis treatment.

In this study, researchers used a network pharmacology approach to highlight significant interactions between compounds in rosemary (Salvia rosmarinus) and genes related to functional dyspepsia, suggesting potential pathways for developing treatments against gastrointestinal diseases.

This study found that dandruff-afflicted individuals had a less integrated microbial network on the scalp and hair surface compared to healthy individuals, with more positive interactions and unstable connections.

This study predicted that key components of Platycladi Cacumen, such as quercetin and apigenin, may have stable binding interactions with targets involved in androgenetic alopecia.

This study suggests that m6A-circHECA may influence the physiology of cashmere goats' SHFs both through miRNA pathways and interactions with target proteins, with promoter methylation potentially inhibiting its gene expression.

This study found that lncRNA-000133 may play a role in secondary hair follicle reconstruction and cashmere fiber growth in goats, potentially through its interaction with the methylation of its regulatory region and dermal papilla cells.

In this study, researchers identified three proteins, DEFB1, HGFAC, and CYB5D2, as potential drug targets for alopecia areata, and suggested that the traditional Chinese medicine ingredient cimigenol shows promise in interacting with DEFB1 for potential treatment.

In this study, keratin genes mHa1 and mHb4 were unable to form an extensive keratin network in one cell line, altering endogenous keratin distribution, but showed better integration in another cell line.

This study developed PiSCES biosignatures that distinguished alopecia areata patients from controls, revealing enhanced basal TCR signaling and a potential disease-specific signaling network signature.

This study identified key genes involved in hair follicle development in Merino sheep, offering insights for improving wool production and providing a basis for future breeding programs.

This review highlights recent advancements in the engineering of skin organoids using hydrogels, which improve their structural and functional fidelity by supporting the architecture and integration of vascular and neural components, promising to enhance regenerative medicine, drug discovery, and complex skin disorder studies.

This study constructed a comprehensive atlas of prenatal human skin, revealing that innate immune cells, such as macrophages, play a crucial role in skin morphogenesis by interacting with non-immune cells, influencing hair follicle formation and angiogenesis beyond their traditional immune functions.

This case report highlights a potential association between etanercept, a TNF-α blocker, and the onset of alopecia areata, suggesting complex interactions between anti-TNF-α treatments and hair follicle growth.

This review summarizes techniques like Raman spectroscopy, nanoindentation, and small-angle X-ray scattering to explore the biophysical interactions in collagen fibers, aiming to enhance understanding of fibroblast behavior and mechanisms involved in organ fibrosis and healing processes.

Keratinocyte cytokines and genetic variations influence the development of moles and skin pigmentation.

This study identified altered mRNA and lncRNA profiles in NS scalp tissues, highlighting CDKN2AIP as a downregulated gene involved in a ceRNA network.

This study found that in immunodeficient mice lacking T cells, certain innate lymphoid cell subsets increased and influenced the hair growth cycle, with specific ILC subsets shown to promote anagen, the active phase of hair growth.

This paper presents a new method using Convolutional Neural Networks for detecting hair and scalp diseases, aiming to enhance diagnostics accessibility through a web-based platform integration.

This scoping review describes the current use of artificial intelligence in alopecia research, highlighting AI's evolution from diagnostic to prognostic applications in dermatology and identifying gaps in multimodal integration and fairness across demographics.

This study identified shared genes and pathways in idiopathic pulmonary fibrosis patients with COVID-19, suggesting these may increase mortality and pointing to potential drug targets for treatment.