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This study developed 3DEEP, a tissue clearing and spatial transcriptomic method, to map hair follicle development in a single time point from a 12-hour-old mouse, detailing molecular stages, signaling dynamics, and structural changes within developing follicles.

This study used metabolomics to identify distinctive metabolic and phenolic profiles in American ginseng (Panax quinquefolius) from various regions, revealing specific biomarkers that can help differentiate between ginseng from Northeast China, Shandong, and the United States.

This review discusses the proposed shift from PCOS to PMOS, emphasizing a comprehensive approach to diagnosis and management, but reports no new clinical results.

This study details a step-by-step protocol for preparing mammalian skin samples, including hair follicles, for spatial transcriptomics to overcome challenges inherent in applying this technique to the skin.

The project aims to validate a nutritional intervention targeting the Redox–NO–Androgen Axis to restore mitochondrial, endothelial, and hormonal balance in male health disorders related to oxidative stress.

In this study, the researchers performed a comparative analysis of drug-target interaction data from multiple databases to refine drug repurposing strategies, revealing potential associations between drug characteristics and therapeutic groups, and predicting repositioning opportunities for FDA-approved drugs across major cancer types.

In this study, researchers found that non-invasive analysis of skin surface lipid RNAs revealed alterations in gene expression patterns associated with atopic dermatitis, suggesting its potential for understanding skin disease pathophysiology.

In the Ovulation and Menstruation Health Pilot Study, multimodal recruitment strategies effectively increased racial diversity and survey completion rates for studying menstrual disorders like PCOS.

This study developed a new method using liquid chromatography-tandem mass spectrometry to measure multiple steroid hormones in hair, requiring significantly fewer strands than previous methods, with high accuracy and precision.

This study developed a new method for detecting 30 hormones in anti-aging functional foods, demonstrating good sensitivity and reliability, and identified seven hormones in four out of 14 samples tested.

This study developed a high-throughput method that identifies bioactive chemicals influencing DHT production in prostate cancer cells, with potential nutraceutical candidates including fucoxanthin, phenethyl caffeate, and Curcuma longa L. extract.

Antisense oligonucleotides show promise for treating Myotonic Dystrophy type I.

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 review discusses AMH and ovarian morphology as complementary markers in diagnosing PCOS/PMOS and reports no new clinical results, highlighting the need for a multidomain approach in diagnosis and treatment.

This study suggests that blood microarray biomarkers may help predict individual treatment response in psoriasis patients, highlighting a distinct blood signature related to inflammation, interferon, and myeloid lineage transcripts.

This study examined noninvasive tissue samples, including buccal swabs, hair follicles, saliva, and urine cell pellets, and found hair follicles and urine cell pellets promising for transcriptomic and clinical analyses due to their sample quality and performance in disease-relevant applications.

This study successfully established and validated a method using LC-MS/MS to measure multiple androgens in plasma, finding that individuals with acne had higher levels of certain androgens compared to those with obesity.

This review discusses advanced techniques for investigating stem cell fate at the single-cell level, including lineage tracing, time-lapse imaging, and molecular profiling, but reports no new research results.

This study developed an ultrahigh-power sonicator to improve protein extraction from hair shafts, followed by advanced proteomic analysis, identifying 239 differentially expressed proteins in fetal growth restriction cases compared to healthy controls, which were validated as potential biomarkers for perinatal diagnostics.

In this study, SNPs in genes affecting skin pigmentation were linked to each skin type's unique response to environmental stress, suggesting potential for personalized skin care products.

This study describes the molecular profile of mammary epithelial stem cells and breast cancer stem cells in vitro, which may aid in designing new breast cancer therapies by identifying potential biomarkers and therapeutic targets.

In this study, Gaussian process regression models combined with Grey Wolf optimization were used to predict and optimize phenolic and flavonoid content extraction from Carthamus caeruleus L. rhizomes, showing high accuracy and helping improve understanding and extraction processes through a new interactive tool.

This paper reports on various AI and human augmentation technologies being applied in plant biology to enhance data processing, improve research efficiency, and enable the discovery of complex biological phenomena that are challenging for humans to perceive or quantify unaided.

This study found that metabolite levels in hair samples differ significantly by hair color and segment, leading to recommendations for best practices in hair metabolomic studies.

This study found that skin surface lipids contain measurable mRNAs, providing a non-invasive way to study skin diseases, with specific gene expression changes observed in atopic dermatitis patients.

This study observed that the aqueous extract of roasted Alocasia macrorrhizos tubers led to hair follicle repigmentation and reduced epidermal thickness in a murine model of Vitiligo.

This commentary discusses the challenges of matrix effects in LC–MS analysis and introduces the concept of a matrix effect factor using stable isotopically labeled internal standards to improve analysis reliability.

This study analyzed skin from 538 knockout mouse mutants and identified 50 with epidermal phenotypes, providing valuable insights into genetic conditions and systemic effects related to skin abnormalities.

This study identified 1965 different metabolites in various tissues of *Oresitrophe rupifraga* Bunge using a targeted metabolomics approach and found significant metabolic differences between its aboveground and underground parts, providing insights into the plant's unique growth traits and potential cultivation and utilization.

This study found that while tape-strip RNA sequencing effectively profiles surface-connected epithelial compartments of human hair follicles, deeper follicular programs require traditional biopsies, except in cases of alopecia areata, which enhances the technique's follicular reach in capturing inflammatory signatures.