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This study reports that hair analysis could potentially monitor metformin use in diabetic patients, suggesting a possible correlation between daily dose and concentration in dark hair but not in light hair.

This study demonstrated that an LC/MS-MS method could effectively detect and quantify the vitamin B3 vitamer nicotinamide in human hair, suggesting its potential use for long-term deficiency examination.

This study demonstrated that using a mass spectrometry imaging technique, researchers were able to visualize the incorporation of argan, avocado, and coconut oils into hair fibers, suggesting their potential in cosmetic and alopecia treatments by confirming oil absorption and fiber modification.

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 and validated a label-free assay using LC-MS to screen for S5αR inhibitors, identifying Thai herbal extracts, Impatiens balsamina L. and Curcuma longa L., as promising sources.

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.

In this study, researchers observed that dietary vitamin D intake and light exposure play a crucial role in vitamin D metabolism in mice, suggesting similar importance for human health in maintaining optimal vitamin D levels.

In this study, the Trivedi Effect®-Consciousness Energy Healing Treatment was reported to significantly increase the solubility and isotopic abundance ratios of flutamide, potentially improving its stability and efficacy.

This study found that cortisol levels, a biomarker of chronic stress, significantly increased in the post-COVID-19 lockdown period compared to pre-lockdown and during-lockdown periods, especially among females and young adults, reflecting sustained psychological stress from the pandemic.

This study developed a rapid method using advanced chromatography and mass spectrometry to detect hair-growth enhancing compounds, discovering synthetic drugs in about 21% of tested supplements.

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

This study used a zebrafish model and advanced mass spectrometry to identify 11 metabolites of epristeride, revealing significant effects on purine metabolism and aromatic amino acid biosynthesis, which may aid in developing anti-doping detection methods.

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 study identified proteins that are differentially expressed in balding versus non-balding dermal papilla cells, potentially aiding the understanding and treatment of androgenetic alopecia.

This study found that LC-MS/MS assays provided more reliable and precise steroid measurements in human serum compared to traditional immunoassays, particularly at lower concentrations.

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 reports a novel LC/MS method that separates and analyzes all known ceramide subclasses in human stratum corneum, identifying a new subclass, CER [EOdS], with minimal sample preparation.

Researchers developed a method to detect hormone-blocking drugs in wastewater and found them in Beijing's sewage, suggesting they can survive sewage treatment.

This study identified the main secondary metabolites in Ziziphus jujuba seeds and confirmed that UPLC-MS/MS and GC-MS effectively demonstrate their pharmaceutical quality.

A new method was developed to accurately measure enzyme activity related to prostate health.

This study used a newly validated method to find that one-year finasteride treatment resulted in no significant differences in urinary androgen and prostaglandin levels between male pattern baldness patients and normal controls.

This study developed a new proteomic method to identify and assess ancient hair proteins using only small amounts of sample, providing insights into hair protein alteration processes over time.

This study examined finasteride degradation under stress conditions, identifying three unique degradation products in acidic environments, providing insights into impurity profiling and quality control for finasteride formulations.

This paper discusses advancements in forensic hair analysis, emphasizing a novel DART–HRMS method that improves the accuracy and efficiency of detecting drug use timelines.

This study developed and validated a comprehensive method using mass spectrometry to profile sex (pro)hormones in plasma, with results showing reliable calibration and detection of 31 analytes in samples from pre- and postmenopausal women and men, while addressing potential over- or underestimations in analyte concentrations.

This paper reviews the diagnostic criteria, etiological factors, and treatment approaches for PCOS, highlighting the importance of considering metabolic issues such as insulin resistance and obesity, but reports no new findings.

In this study, researchers developed an LC-MS/MS method to accurately quantify cortisone and cortisol levels in human scalp hair, finding that concentrations decrease predictably along the hair shaft, which could assist in identifying abnormal glucocorticoid exposure.

The document concludes that using LC-MS/MS for measuring androgens is more accurate than older methods, but it needs careful validation and standardized references to be most effective.

This study identified previously unknown phase I and phase II metabolites of finasteride in human bile and urine using a specialized bile collection technique and advanced mass spectrometry analysis.