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This study identified trilauric glyceride and decanoylcarnitine as potential biomarkers for diagnosing PCOS in patients with and without insulin resistance, suggesting significant metabolic alterations in these conditions.

This study found that 42% of red yeast rice dietary supplements did not list monacolin concentrations on their labels, and only half of those that did contained the declared amounts.

This study reported that a newly developed UHPLC-MS/MS method detected illegal synthetic hair-growth compounds in 10% of 76 hair-growth products, highlighting the need for ongoing monitoring to protect public health.

This study found that the Qing Cuo Formula significantly reduced serum androgen and inflammatory cytokine levels in hamsters with damp-heat acne and identified potential molecular mechanisms and active compounds involved.

This study utilized a UHPLC-HRMS method to identify eight active pharmaceutical ingredients, such as ketoconazole and minoxidil, in 26 out of 100 analyzed cosmetic products.

This study establishes a robust analytical method using mass spectrometry to comprehensively identify 170 chemical compounds in Xiaoban Kangfu capsules for enhanced quality control.

In this study, the bark extract of Albizia saponaria was analyzed for its metabolites and potential anti-alopecia effects, identifying several compounds with predicted affinities for proteins involved in hair loss pathways.

This study developed a reliable UHPLC-MS/MS method to measure flavonoids from Pinus massoniana needles in rat plasma for pharmacokinetics, aiding further research on their potential use in external preparations to prevent hair loss.

This study used advanced chromatographic and mass spectrometric techniques to develop a method for reliably detecting 17 hair growth compounds in consumer products, aiming to enhance regulatory compliance and ensure consumer safety against illicit compounds.

This study identified 43 compounds in Platycladi Cacumen, including flavonoids, and found significant chemical variation in flavonoid content across different regions and processed products.

This study describes a validated UPLC-MS/MS method for quantifying finasteride in human plasma, demonstrating higher specificity, improved resolution, increased sensitivity, and faster analysis times compared to conventional HPLC-MS/MS methods.

This study demonstrated a validated UPLC method for analyzing finasteride in low-dose drug products, highlighting methanol content and flow rate as critical factors for method robustness and accuracy.

This study identified key lipid differences between black and white hair in individuals with premature greying, highlighting vitamin D3 as a potential target for further research in understanding this condition.

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.

The conclusion is that a new method can measure caffeine and drugs in hair, finding caffeine abusers have 70 times more caffeine than normal, with a proposed cut-off value for abuse.

This study presents a new method using UPLC-ESI-MS/MS for analyzing the constituents of a medicinal herbal complex extract, which includes herbs traditionally used to prevent hair loss and promote hair growth; no clinical results were reported.

This study developed and validated a gradient reversed-phase liquid chromatographic method to effectively measure Finasteride and its related impurities in pharmaceutical bulk drugs, demonstrating high linearity and precision.

This study developed a validated method to detect prohibited drugs in dietary supplements, finding minoxidil, triaminodil, and finasteride in some samples.

This study developed and validated a method using UPLC-PDA and LC-Q-TOF/MS to identify and measure prohibited substances in dietary supplements, showing reliable detection of compounds like minoxidil and finasteride.

This study developed a method using UHPLC-MS/MS and MSPE to detect trace amounts of sex hormones in cosmetics, finding progestins and estrogens in some products, and performed a preliminary safety evaluation for residual progesterone in hair loss prevention cosmetics.

In this study, researchers identified two potential urinary biomarkers, testosterone–glucuronide and 11α-hydroxyprogesterone, along with four candidate biomarkers, to help understand and diagnose polycystic ovary syndrome.

This letter to the editor reports on an analysis of hair root lipids in female androgenetic alopecia using UPLC-Q-TOF/MS, without presenting new clinical results.

This study developed and validated a liquid chromatography-mass spectrometry method for accurately identifying and quantifying tamsulosin and finasteride in pharmaceutical forms, showing its effectiveness for quality control.

In this study, researchers using advanced chromatography and mass spectrometry techniques tentatively identified 132 chemical compounds in Justicia procumbens, including 54 lignans and 77 compounds reported for the first time, which may aid in pharmacological research and quality control of the plant.

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 study found that monitoring endogenous steroid metabolites in serum may improve the detection of testosterone doping by highlighting promising biomarkers.

In this study, researchers developed a method using scalp cyanoacrylate biopsy and advanced imaging techniques to effectively measure and visualize the distribution of anti-dandruff shampoo ingredients zinc pyrithione and climbazole within the scalp follicular infundibulum.

This study describes a new method using high-resolution mass spectrometry for analyzing multiple steroids in human scalp hair, with newborn hair showing the highest steroid concentrations among examined age groups.

This study demonstrated that GP derivatization improves mass spectral analysis of spironolactone and its metabolites by reducing in-source fragmentation and enhancing signal clarity, laying the groundwork for future advancements in reaction optimization and quantitative assay development.