Human Gonads Do Not Contribute to the Circulating Pool of 11-Oxygenated Androgens.

CONTEXT: Androstenedione (A4) and testosterone (T) are produced by both the adrenal glands and the gonads. The adrenal enzyme 11ß-hydroxylase (CYP11B1) executes the final step in cortisol synthesis; CYP11B1 also uses A4 and T as substrates, generating 11-hydroxyandrostenedione and 11-hydroxytestosterone, respectively. It has been suggested that CYP11B1 is expressed in the gonads, yet the circulating levels of all 11-oxygenated androgens (11-oxyandrogens) are similar in males and females of reproductive ages, despite enormous differences in T. OBJECTIVE: To assess the gonadal contribution to the circulating pool of 11-oxyandrogens. METHODS: We used liquid chromatography-tandem mass spectrometry to measure 13 steroids, including traditional and 11-oxyandrogens in: (I) paired gonadal and peripheral vein blood samples obtained during gonadal venograms from 11 patients (7 women), median age 37 (range 31-51 years); and (II) 17 women, median age 57 (range 41-81 years) before and after bilateral salpingo-oophorectomy (BSO). We also compared CYP11B1, 17α-hydroxylase/17,20-lyase (CYP17A1), and 3ß-hydroxysteroid dehydrogenase type 2 (HSD3B2) mRNA expression in adrenal, ovarian, and testicular tissue. RESULTS: A4, T, estradiol, estrone, progesterone, 17α- and 16α-hydroxyprogesterone were all higher in gonadal veins vs. periphery (p < 0.05 for all), while four 11-oxyandrogens were similar between matched gonadal and peripheral vein samples. Equally, in women who underwent BSO, A4 (median [interquartile range]: 59.7 [47.7-67.6] ng/dL vs. 32.7 [27.4-47.8] ng/dL, p < 0.001) and T (24.1 [16.4-32.3] vs.15.5 [13.7-19.0] ng/dL, p < 0.001) declined, while 11-oxyandrogens remained stable. Gonadal tissue displayed negligible CYP11B1 mRNA. CONCLUSION: Despite producing substantial amounts of A4 and T, human gonads are not relevant sources of 11-oxyandrogens.

Multiplexed Serum Steroid Profiling Reveals Metabolic Signatures of Subtypes in Congenital Adrenal Hyperplasia.

Context: Altered metabolic signatures on steroidogenesis may characterize individual subtypes of congenital adrenal hyperplasia (CAH), but conventional diagnostic approaches are limited to differentiate subtypes. Objective: We explored metabolic characterizations and identified multiple diagnostic biomarkers specific to individual subtypes of CAH. Methods: Liquid chromatography-mass spectrometry-based profiling of 33 adrenal steroids was developed and applied to serum samples obtained from 67 CAH patients and 38 healthy volunteers. Results: Within- and between-run precisions were 95.4% to 108.3% and 94.1% to 110.0%, respectively, while all accuracies were <12% and the correlation coefficients (r2) were > 0.910. Metabolic ratios corresponding to 21-hydroxylase characterized 21-hydroxylase deficiency (21-OHD; n = 63) from healthy controls (area under the curve = 1.0, P < 1 × 10-18 for all) and other patients with CAH in addition to significantly increased serum 17α-hydroxyprogesterone (P < 1 × 10-16) and 21-deoxycortisol (P < 1 × 10-15) levels. Higher levels of mineralocorticoids, such as corticosterone (B) and 18-hydroxyB, were observed in 17α-hydroxylase deficiency (17α-OHD; N = 3), while metabolic ratio of dehydroepiandrosterone sulfate to pregnenolone sulfate was remarkably decreased against all subjects. A patient with 11ß-hydroxylase deficiency (11ß-OHD) demonstrated significantly elevated 11-deoxycortisol and its metabolite tetrahydroxy-11-deoxyF, with reduced metabolic ratios of 11ß-hydroxytestosterone/testosterone and 11ß-hydroxyandrostenedione/androstenedione. The steroid profiles resulted in significantly decreased cortisol metabolism in both 21-OHD and 17α-OHD but not in 11ß-OHD. Conclusion: The metabolic signatures with specific steroids and their corresponding metabolic ratios may reveal individual CAH subtypes. Further investigations with more substantial sample sizes should be explored to enhance the clinical validity.

Ecological changes in subtidal macrobenthic communities of the Taean coast following the Hebei Spirit oil spill: A 10-year longitudinal study.

We examined long-term response (2008-2017) of the macrobenthos to the Hebei Spirit oil spill that occurred around the Taean coast, Korea, in December 2007. Oil concentrations were below the Korea/US environmental standards as of January 2008. Organic matter, chlorophyll-a, and zooplankton abundance dominated by Noctiluca scintillans were higher after the spill. Macrobenthic diversity recovered to pre-incident (2007) level in 2011. Biomass exceeded that level in 2011 and the increase prolonged for 5 years. Cross-correlation and regression analyses showed that chlorophyll-a at year t and zooplankton abundance at t-2 had a significant relationship with macrobenthic biomass at t (p < 0.05 for both), suggesting the transfer of increased organic matter (transformed from crude oil within the pelagic ecosystem) into the benthic ecosystem. Coastal wetlands around the incident area, vulnerable to oil pollution and slowly remobilizing accumulated oil, seemed to affect pelagic ecosystem processes and the unexpectedly increased and sustained biomass.

LC-MS based simultaneous profiling of adrenal hormones of steroids, catecholamines, and metanephrines.

Metabolic changes in adrenocortical steroids and medullary catecholamines characterize adrenal tumors, but they are measured using different analytical protocols. To increase bioanalytical validity while maintaining sample homogeneity, LC-MS-based profiling of 29 cortical steroids and 6 medullary amines, including catecholamines and metanephrines, in a single run was developed. Alkyloxycarbonylation with isobutyl chloroformate was employed together with our comprehensive steroid assay, and all adrenal hormones were separated on a reversed-phase C18 column (50 × 2.1 mm, 1.9 µm) at a flow rate of 0.3 ml/min. The lower limits of quantification for all analytes ranged from 0.1 to 2.0 ng/ml, with extraction recoveries of 58.5%-109.5%, while the imprecision and accuracy were 1.6%-14.8% and 89.2%-114.9%, respectively. The validated LC-MS assay was applied to serum samples obtained from 60 patients with adrenal Cushing syndrome, primary aldosteronism, and pheochromocytoma/paraganglioma (PPGL). In addition to the characteristic metabolic changes in glucocorticoids, mineralocorticoids, catecholamines, and metanephrine, the molecular ratios of dehydroepiandrosterone sulfate and 20α-dihydrocortisol indicated Cushing syndrome and primary aldosteronism (P < 0.01 for all compounds), respectively. Moreover, the interactive molecular ratios of 11-deoxycortisol with normetanephrine, metanephrine, norepinephrine, and epinephrine (P < 0.01 all compounds) were proposed to characterize the metabolic features of PPGL. Novel LC-MS-based quantitative profiling of steroids, catecholamines, and metanephrines in human serum was successfully established and characterized metabolic features of individual adrenal tumors that could be used for clinical purposes.

Comparison between self-reported smoking habits and daily ad-libitum smoking topography in a group of Korean smokers.

Tobacco smoking is associated with a high global mortality rate since it is known to cause cancers and lung and heart diseases. To control and reduce annual mortality attributed to smoking, it is essential to design applicable smoke cessation programs based on realistic tobacco exposure risk assessment. In this regard, understanding the smoking habits of the smoker is crucial. Using self-report smoking habit surveys is a common approach in measuring basic variables of smoking habits. However, smoking topography measurement devices have recently become available for investigating smoking habit variables accurately. In this study, we conducted a self-report survey to investigate a group of Korean smokers' smoking habit variables such as the number of smoked cigarettes per day, puff counts, and total smoking time. The survey also included items from the Fagerström Test for Nicotine Dependence (FTND). The results were compared with the corresponding variables from machine-determined data to investigate their correlation and reliability. Results indicate that Korean smokers have a reliable understanding of the average number of cigarettes they smoke daily (ρ = 0.517, Cronbach's α = 0.754) and the time to first cigarette (TTFC) after waking up (ρ = -0.587, Cronbach's α = 0.623), as fundamental items of the FTND score. Nevertheless, these smokers significantly under-reported the puff number and total smoking time, which can cause significant underestimation in the tobacco exposure risk assessment. Consequently, we suggest the application of self-report surveys that are based on the amount of daily smoked cigarettes (e.g. FTND) for clinical or risk assessment purposes. Using smoking topography measurement devices is recommended overusing self-report surveys in measuring smoking habit variables such as puff count and smoking time more accurately.

Maternal Signatures of Cortisol in First Trimester Small-for-Gestational Age.

The objective of this study was to identify predictable maternal serum signatures of cortisol metabolism during the first trimester of women who are expected to deliver small-for-gestational-age (SGA) neonates. This prospective cohort study included 112 pregnant women (with and without SGA, n = 56 each). Maternal serum samples were collected at 10-14 gestational weeks to quantify the levels of cortisol and its precursors and metabolites by liquid chromatography-mass spectrometry. Increased maternal serum levels of tetrahydrocortisol (11.82 ± 8.16 ng/mL vs. 7.51 ± 2.90 ng/mL, P < 0.005) and decreased 21-deoxycortisol (2.98 ± 1.36 ng/mL vs. 4.33 ± 2.06 ng/mL, P < 0.0001) were observed in pregnant women carrying SGA fetus. In conjunction with individual steroid levels, metabolic ratios corresponding to the activity of related enzymes were calculated. In addition to increased tetrahydrocortisol/cortisol ratio (P < 0.006), the SGA group showed a significant increase in the two metabolic ratios including cortisol/11-deoxycortisol (P < 0.03) and cortisol/21-deoxycortisol (P < 0.0003). The receiver operating characteristic (ROC) curve generated in combination with three variables of 21-deoxycortisol concentration and two metabolic ratios of cortisol/21-deoxycortisol and tetrahydrocortisol/cortisol resulted in an area under the ROC curve = 0.824 (95% confidence interval, 0.713-0.918). A significant decrease in maternal serum levels of 21-deoxycortisol and an increase in two metabolic ratios of cortisol/21-deoxycortisol and tetrahydrocortisol/cortisol, indicating cortisol biosynthetic rate, represent potential biomarkers for the prediction of SGA in the first trimester.

Acquired Resistance Mechanism of EGFR Kinase Domain Duplication to EGFR TKIs in Non-Small Cell Lung Cancer.

PURPOSE: Epidermal growth factor receptor kinase domain duplication (EGFR-KDD) is a rare and poorly understood oncogenic mutation in non-small cell lung cancer (NSCLC). We aimed to investigate the acquired resistance mechanism of EGFR-KDD against EGFR-TKIs. MATERIALS AND METHODS: We identified EGFR-KDD in tumor tissue obtained from a patient with stage IV lung adenocarcinoma and established the patient-derived cell line SNU-4784. We also established several EGFR-KDD Ba/F3 cell lines: EGFR-KDD wild type (EGFR-KDDWT), EGFR-KDD domain 1 T790M (EGFR-KDDD1T), EGFR-KDD domain 2 T790M (EGFR-KDDD2T), and EGFR-KDD both domain T790M (EGFR-KDDBDT). We treated the cells with EGFR tyrosine kinase inhibitors (TKIs) and performed cell viability assays, immunoblot assays, and ENU (N-ethyl-N-nitrosourea) mutagenesis screening. RESULTS: In cell viability assays, SNU-4784 cells and EGFR-KDDWT Ba/F3 cells were sensitive to 2nd generation and 3rd generation EGFR TKIs. In contrast, the T790M-positive EGFR-KDD Ba/F3 cell lines (EGFR-KDDT790M) were only sensitive to 3rd generation EGFR TKIs. In ENU mutagenesis screening, we identified the C797S mutation in kinase domain 2 of EGFR-KDDBDT Ba/F3 cells. Based on this finding, we established an EGFR-KDD domain 1 T790M/domain 2 cis-T790M+C797S (EGFR-KDDT/T+C) Ba/F3 model, which was resistant to EGFR TKIs and anti-EGFR monoclonal antibody combined with EGFR TKIs. CONCLUSION: Our study reveals that the T790M mutation in EGFR-KDD confers resistance to 1st and 2nd generation EGFR TKIs, but is sensitive to 3rd generation EGFR TKIs. In addition, we identified that the C797S mutation in kinase domain 2 of EGFR-KDDT790M mediates a resistance mechanism against 3rd generation EGFR TKIs.

Metabolic Subtyping of Adrenal Tumors: Prospective Multi-Center Cohort Study in Korea.

BACKGROUND: Conventional diagnostic approaches for adrenal tumors require multi-step processes, including imaging studies and dynamic hormone tests. Therefore, this study aimed to discriminate adrenal tumors from a single blood sample based on the combination of liquid chromatography-mass spectrometry (LC-MS) and machine learning algorithms in serum profiling of adrenal steroids. METHODS: The LC-MS-based steroid profiling was applied to serum samples obtained from patients with nonfunctioning adenoma (NFA, n=73), Cushing's syndrome (CS, n=30), and primary aldosteronism (PA, n=40) in a prospective multicenter study of adrenal disease. The decision tree (DT), random forest (RF), and extreme gradient boost (XGBoost) were performed to categorize the subtypes of adrenal tumors. RESULTS: The CS group showed higher serum levels of 11-deoxycortisol than the NFA group, and increased levels of tetrahydrocortisone (THE), 20α-dihydrocortisol, and 6ß-hydroxycortisol were found in the PA group. However, the CS group showed lower levels of dehydroepiandrosterone (DHEA) and its sulfate derivative (DHEA-S) than both the NFA and PA groups. Patients with PA expressed higher serum 18-hydroxycortisol and DHEA but lower THE than NFA patients. The balanced accuracies of DT, RF, and XGBoost for classifying each type were 78%, 96%, and 97%, respectively. In receiver operating characteristics (ROC) analysis for CS, XGBoost, and RF showed a significantly greater diagnostic power than the DT. However, in ROC analysis for PA, only RF exhibited better diagnostic performance than DT. CONCLUSION: The combination of LC-MS-based steroid profiling with machine learning algorithms could be a promising one-step diagnostic approach for the classification of adrenal tumor subtypes.

Study on the daily Ad Libitum smoking habits of active Korean smokers and their effect on urinary smoking exposure and impact biomarkers.

INTRODUCTION: Understanding interactions of smoking topography with biomarkers of exposure to tobacco is essential for accurate smoking risk assessments. METHODS: In this study, the smoking topography and the levels of tobacco smoke exposure urinary biomarkers of a sample of active Korean smokers were quantified and measured. The results were used to investigate the effect of daily activities and smoking time on the smoking topography. Moreover, correlations between the smoking topography parameters and biomarkers were assessed. RESULTS: No significant effect of either the daily activities or time on the smoking topography of the subjects were observed. Synchronic correlations of the cigarette consumption per day (CPD) and the average flow per puff with both urinary cotinine and trans-3'-hydroxycotinine were significant. For the urinary nicotine metabolites, the peak levels appeared when the CPD was over 19 cigarettes per day and the average puff velocity was between 35 and 45 ml/s. Nevertheless, when the average flow was over 60 ml/s, the levels of cotinine and trans-3'-hydroxycotinine significantly dropped. CONCLUSIONS: The findings of this study may be beneficial for further smoking risk assessments with contributions of both the smoking topography and biomarkers to provide current smokers with applicable cession programs.Clinical significanceSmoking habits and levels of urinary biomarkers of Korean smokers are investigated.People with a higher dependency on nicotine smoke cigarettes with slower puffs.Effects of daily activities or time on smoking topography were not significant.Correlations between smoking topography and urinary biomarkers were significant.Peak biomarker levels were observed under certain smoking topography conditions.

Metabolic changes in serum steroids for diagnosing and subtyping Cushing's syndrome.

To evaluate the diagnostic value of serum levels of adrenal steroids for diagnosing and subtyping Cushing's syndrome. Patients diagnosed with endogenous Cushing's syndrome (34 and 19 patients with adrenal and pituitary Cushing's syndrome, respectively) and healthy controls (n = 34) were consecutively enrolled at Seoul National University from 2016 to 2020. Morning serum samples were collected before and 3 months after treatment. Serum steroids were profiled using liquid chromatography-mass spectrometry. The diagnostic value of each and the combination of steroids were assessed using the area under the curve of receiver operating characteristic (AUROC) and decision tree analysis. Tetrahydrocortisone and 6ß-hydroxycortisol showed the highest AUROC (0.893 and 0.890, respectively) for the diagnosis of endogenous Cushing's syndrome. The decision tree composed of tetrahydrocortisone and 6ß-hydroxycortisol correctly classified 79/87 (90.8 %) subjects. For subtyping into adrenal or pituitary Cushing's syndrome, dehydroepiandrosterone sulfate (DHEA-S) showed the highest AUROC (0.988), which was similar to that of plasma ACTH (0.994, P = 0.458). The decision tree composed of only DHEA-S correctly classified 51/53 (96.2 %) of the Cushing's syndrome subtype. DHEA-S showed a significant linear correlation with the plasma ACTH level, but not with the 24 -h urine free cortisol or dexamethasone suppression test results. All steroids, except allo-tetrahydrocortisol and tetrahydrocortisone, decreased significantly at 3 months post-treatment with similar patterns in both adrenal and pituitary Cushing's syndrome. Serum steroid profiling using a single morning serum sample provides valuable information for diagnosing and subtyping Cushing's syndrome.

Korean male active smokers: quantifying their smoking habits and the transformation factor among biomarkers in urine and blood.

OBJECTIVES: The aim of the study was to investigate the correlations within the levels of biomarkers in different biological matrices, along with smoking topography variables, among active male smokers in Korea. Accordingly, we defined a transformation factor to convert level of tobacco smoke exposure and impact biomarkers from different biometrics. METHODS: We examined smoking topography of recruited volunteers using a self-reporting survey. The level of tobacco smoke exposure and impact biomarkers in subjects' urine and blood were analysed. Results were used to assess the correlations between the topography survey items with biomarkers in biological matrices. The relationship between the biomarkers in urine and blood was analysed. Accordingly, we defined a transformation factor as the ratio of different biomarkers in urine and blood matrices. RESULTS: Significant correlations among smoking topography variables and biomarkers were found. Besides, a strong significant association was found among urine and blood cotinine (ρ = 0.817) and NMR (ρ = 0.905). Urine vs blood cotinine and NMR transformation factors were calculated to be 6.17 L-Blood/g-Creatinine and 10.2, respectively. CONCLUSIONS: The validated transformation factor connects epidemiological cohort studies with tobacco smoking exposure risk assessment. Hence, this study might be beneficial for further habit-based smoking risk assessments to obtain successful regional cession policies.

Selective LC-MRM/SIM-MS based profiling of adrenal steroids reveals metabolic signatures of 17α-hydroxylase deficiency.

Adrenal steroids are generated in the adrenal cortex and metabolized by various enzymes such as hydroxylases, dehydrogenases, and reductases. Determining the comprehensive metabolic signatures of adrenal steroids can provide insight into their metabolic functions and roles in the pathophysiology of adrenal diseases, including Cushing's syndrome (CS) and congenital adrenal hyperplasia (CAH). To this end, we developed an advanced quantitative profiling method of serum adrenal steroids with liquid chromatography-mass spectrometry (LC-MS) under molecular-specific scan modes. Twenty-seven steroids were separated on a 1.9-µm particle C18 column (50 × 2.1 mm) at a flow rate of 250 µL/min and quantified via triple-quadrupole MS with electrospray ionization. During validation, linearities ( r2) were higher than 0.940 with a limit of quantification of 0.1-5.0 ng/mL, and precision (coefficient of variation) and accuracy (%bias) of 3.7-14.3 % and 96.3-113.1 %, respectively. In contrast with the significantly increased serum levels of mineralocorticoids (P <  0.001), the present LC-MS assay revealed remarkably decreased levels of all glucocorticoids and androgens in a patient diagnosed with 17α-hydroxylase deficiency CAH (P <  0.001) compared to those of age- and sex-matched healthy and CS subjects. In the CAH patient, the metabolic ratios for 17α-hydroxylase were significantly decreased, whereas there was no reduction in the metabolic ratio of 17-hydroxyprogesterone to androstenedione, indicating 17,20-lyase activity. In particular, both pregnenolone and dehydroepiandrosterone sulfates, and their metabolic ratio, were identified as potential biomarkers for 17α-hydroxylase deficiency (all P <  0.001), which were also distinct from those of CS patients. The devised LC-MS assay clearly revealed the metabolic signatures of 17α-hydroxylase deficiency, as a rare phenotype of CAH, compared to both healthy and CS subjects, indicating its utility for screening adrenal diseases.

Synthesis of Either C2- or C4'-Alkylated Derivatives of Honokiol and Their Biological Evaluation for Anti-inflammatory Activity.

Honokiol, a biphenolic neolignan isolated from Magnolia officinalis, was reported to have a promising anti-inflammatory activity for the treatment of various diseases. There are many efforts on the synthesis and structure-activity relationship of honokiol derivatives. However, regioselective O-alkylation of honokiol remains a challenge and serves as a tool to provide not only some derivatives but also chemical probes for target identification and mode of action. In this study, we examined the reaction condition for regioselective O-alkylation, in which C2 and C4'-alkylated analogs of honokiol were synthesized and evaluated for inhibitory activity on nitric oxide production and cyclooxygenase-2 expression. Furthermore, we successfully synthesized a potential photoaffinity probe consisting of biotin and benzophenone based on a C4'-alkylated derivative.

Inflammasome as a promising therapeutic target for cancer.

Inflammasomes are the major mechanistic complexes that include members of the NOD-like receptor (NLRs) or AIM2-like receptors (ALRs) families, which are affiliated with the innate immune system. Once NLRs or ALRs are activated by pathogen-associated molecular patterns (PAMPs) or damage-associated molecular patterns (DAMPs), the caspase-1 or -11 is activated by binding with NLRs or ALRs via its own unique cytosolic domains. As a result, caspase-1 or -11 enhances the production of IL-1ß and IL-18, which results in inflammation via the recruitment of immune cells, such as macrophages, and the promotion of programmed cell death mechanisms such as pyroptosis. In addition, the consistent cascades of inflammasomes would precede both minor and severe autoimmune diseases and cancers. The clinical relevance of inflammasomes in multiple forms of cancer highlights their therapeutic promise as molecular targets. To closely analyze the physiological roles of inflammasomes in cancers, here, we describe the fundamental knowledge regarding the current issues of inflammasomes in relevant cancers, and discuss possible therapeutic values in targeting these inflammasomes for the prevention and treatment of cancer.

Important roles of protein tyrosine phosphatase PTPN12 in tumor progression.

Protein tyrosine phosphatases (PTPs), which are ubiquitously expressed in hematopoietic and non-hematopoietic cells, are critical for regulating cell proliferation as well as differentiation in the physiology of multicellular organisms. PTPs regulate the intracellular signaling mechanism of immune cells via dephosphorylation of multiple targets and are associated with the onset of various autoimmune diseases through genomic alterations. PTPs also affect disease through their role in innate and/or acquired immunity. By modulating multiple substrates, PTPN12, a member of the proline-, glutamic acid-, serine- and threonine-rich (PEST) family of PTPs, is an important regulator of cell migration and adhesion. According to its newly identified roles and functions, PTPN12 is considered a promising therapeutic target against critical diseases, including cancer, diabetes, metabolic disease and autoimmune diseases. In this review, we provide an overview of PTPs and discuss the critical roles of PTPN12/PTP-PEST in tumor progression.

Distinct features of dendritic cell-based immunotherapy as cancer vaccines.

Dendritic cells (DCs) are the most professional antigen presenting cells that play important roles in connection between innate and adaptive immune responses. Numerous studies revealed that the functions of DCs are related with the capture and processing of antigen as well as the migration to lymphoid tissues for the presenting antigens to T cells. These unique features of DCs allow them to be considered as therapeutic vaccines that can induce immune responses and anti-tumor activity. Here, we discuss and understand the immunological basis of DCs and presume the possibilities of DC-based vaccines for the promising cancer therapy.

Simultaneous determination of bisphenol A and estrogens in hair samples by liquid chromatography-electrospray tandem mass spectrometry.

Bisphenol A (BPA), an endocrine disrupter, is widely used to make chemicals for polycarbonate, plastics, beverage containers, epoxy resins, and cash register receipts. BPA is one of the known xenoestrogens, which have weak estrogenic activity and cause obesity, diabetes, breast cancer, and reproductive disorders. Even though the concentration level of metabolomes in hair is usually lower than that in urine and blood, there are several reasons why we chose to use hair samples. First, the sampling procedure of hairs is simple. Second, it is also easy to preserve the sample for long term and track the drug-exposure record of a given sample. Third, deformation and contamination of samples rarely occur. In this study, an improved analytical method to determine the levels of BPA and estrogens in hair samples was developed by liquid chromatography-electrospray tandem mass spectrometry (LC-ESI/MS/MS). Hair samples were extracted by an Oasis HLB extraction cartridge after incubation with 1N HCl and derivatized with dansyl chloride to increase sensitivity. BPA and estrogens (estrone, 17ß-estradiol, and estriol) were separated using Shiseido CAPCELL PAK C18 column (2.0×100mm, 3µm) and a mobile phase consisting of 10mM ammonium acetate in water and acetonitrile with a gradient program at a flow rate of 0.3mL/min and were monitored with electrospray tandem mass spectrometry (ESI-MS/MS). The linearity of this method was over 0.995. The limits of detection (LOD) at a signal-to-noise (S/N) ratio of 3 were 0.25-6.0ng/g. The alteration of estrogens levels induced by BPA may play important role to understanding probable endocrine disruptive exposure, and the described methods could be used to evaluate and monitor exposure of endocrine disruptor.