Polycystic ovary syndrome (PCOS) is a metabolic disorder with clinical heterogeneity. PCOS women with non-hyperandrogenemia (NA) might be misdiagnosed due to a lack of diagnostic markers. This study aims to systematically analyze the differences in steroid hormones between PCOS women with hyperandrogenemia (HA) and NA, and to screen classification diagnosis models for PCOS. The serum samples from 54 HA-PCOS, 79 NA-PCOS and 60 control women (Non-PCOS) aged between 18 and 35 were measured by an integrated steroid hormone-targeted quantification assay using LC-MS/MS. The levels of serum androgens, corticosteroids, progestins and estrogens in the steroid hormone biosynthesis pathway were analyzed in PCOS and Non-PCOS women. Eight machine learning methods including Linear Discriminant Analysis (LDA), K-nearest Neighbors (KNN), Boosted Logistic Regression (LogitBoost), Naive Bayes (NB), C5.0 algorithm (C5), Random Forest (RF), Support Vector Machines (SVM), and Neural Network (NNET) were performed, evaluated and selected for classification diagnosis of PCOS. A 10-fold cross-validation on the training set was performed. The whole metabolic flux from cholesterol to downstream steroid hormones increased significantly in PCOS, especially in HA-POCS women. The RF model was chosen for the classification diagnosis of HA-PCOS, NA-PCOS, and Non-PCOS women due to the maximum average accuracy (0.938, p<0.001), AUC (0.989, p<0.001), and kappa (0.906, p<0.001), and the minimum logLoss (0.200, p<0.001). Five steroid hormones including testosterone, androstenedione, total 2-methoxyestradiol, total 4-methoxyestradiol, and free estrone were selected as the decision trees for the simplified RF model. A total of 37 women were included in the validation set. The diagnostic sensitivity for HA-PCOS, NA-PCOS, and Non-PCOS was 100 %, 93.3 % and 91.7 %, respectively. HA-PCOS, NA-PCOS, and Non-PCOS women showed obvious different steroid hormone profiles. The simplified RF model based on two androgens and three estrogens could be effectively applied to the classification diagnosis of PCOS, further reducing the missed diagnosis rate of NA-PCOS.

Background: Tacrolimus (TAC), an important immunosuppressant for liver transplantation, has a narrow therapeutic index and large individual differences in pharmacokinetics. Ascitic fluid is commonly drained after liver transplantation. However, the distribution of TAC in ascitic fluid and the influence of drained ascitic fluid on whole-blood TAC are unclear. Methods: The ascitic fluid samples from twenty liver transplant recipients who were received TAC treatment within 12h after the transplantation surgery were collected for consecutive 24h in different days after the surgery. The distribution of TAC in ascitic fluid were evaluated by using a sensitive UPLC-MS/MS method. Chromatographic separation was achieved on an Agilent ZORBAX Eclipse Plus Phenyl-Hexyl column (2.1×100mm, 3.5μm). Mass spectrometry was performed in multiple reaction monitoring (MRM) conditions of transitions m/z 821.4→768.5 for TAC. Results: The concentrations of TAC in ascitic fluid samples range from 0.2 to 3.0 ng/mL, accounting for 1.19-31.87% of whole-blood TAC concentrations. A linear mixed model showed a statistically significant positive correlation between the steady-state trough blood concentration of TAC (C0) and the corresponding amount of TAC excreted in the ascitic fluid for 24 consecutive hours, especially after normalization by the daily dose per unit body weight (D/W). Conclusions: These data suggested that the distribution of TAC in ascitic fluid has great individual differences. The whole-blood TAC concentration, D/W and other confounding factors may contribute to the excretion of TAC in ascitic fluid, but the influence of TAC excretion in drained ascitic fluid on the whole-blood TAC concentration is negligible.

Non-alcoholic steatohepatitis (NASH) is emerging as a serious liver disorder characterized by hepatic steatosis and liver inflammation. Nicotinamide adenine dinucleotide (NAD+) and NAD+-dependent deacetylase, SIRT1, play important roles in lipid metabolism in non-alcoholic fatty liver disease (NAFLD). However, their effects on liver inflammation and homeostasis of bile acids (BAs), the extensively proved pathophysiological actors in NASH, have not been fully understood. NASH animal model was induced by a methionine-choline-deficient (MCD) diet in C57BL/6J mice and intraperitoneally injected with NAD+ precursor, an agonist of upstream rate-limiting enzyme NAMPT or downstream SIRT1, or their vehicle solvents. Free fatty acid (FFA) was applied to HepG2 cells to construct the cell model. Induction of NAMPT/NAD+/SIRT1 axis could remarkably alleviate the aggravated inflammation in the liver of NASH mice, accompanied by decreased levels of total BAs throughout the enterohepatic system and a switch of BA synthesis from the classic pathway to the alternative pathway, resulting in less production of pro-inflammatory 12-OH BAs. The expressions of key enzymes including cyp7a1, cyp8b1, cyp27a1 and cyp7b1 in BA synthesis were significantly modulated after NAMPT/NAD+/SIRT1 axis induction in both animal and cell models. The levels of pro-inflammatory cytokines in liver were significantly negatively correlated with the intermediates in NAD+ metabolism, which may also be related to their regulation on BA homeostasis. Our results indicated that induction of NAMPT/NAD+/SIRT1 axis may be a potential therapeutic strategy for NASH or its complications related with BAs.

Gestational diabetes mellitus (GDM) is not only a threat to the health of pregnant women, but also has profound effects on the health of offspring. Studies have shown that the imbalance of estrogen metabolism is associated with an increased risk of GDM. In this study, an ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method was established and validated for simultaneous quantification of thirteen estrogens in the urine of GDM women, including estrone (E1), estradiol (E2), estriol (E3), and their hydroxylated and methylated metabolites. The method was achieved on a Waters CORTECS C18 column (2.1 mm x 150 mm, 1.6 mu m) within 8.5 min. The linear range of thirteen estrogens in urine was 2-1000 pg.mL(-1). Both intra- and inter-day precision for each analyte were less than 15%, with accuracies ranging from 8.3% to 7.3%. The extraction recoveries rate were between 86% and 111%, and stability verification results met the requirements for determination of biological samples. The results suggested that the concentrations of estrogens in all urine samples range from 0.08 to 134.06 (pg.mg(-1) creatinine). The mean levels of E1, E2 and most estrogen metabolites in the urine of GDM women were higher than those in healthy pregnant women. Notably, the mean level of 2-hydroxyestrone (2-OHE1) in GDM women was 13.2-fold lower than that in healthy pregnant women. The types of estrogens with the highest mean levels in the urine of GDM and healthy pregnant women were obviously different, which are 2-methoxyestrone (2MeOE1) and E3, respectively. Our results demonstrated that this specific and sensitive method is suitable for quantifying estrogens in human urine and could provide support for further research on estrogen-related pathological mechanisms in GDM and other diseases.

内源性类固醇激素具有维持新陈代谢、调节性功能等多种生理作用.其种类较多,且相关标志物的精确定量在内分泌及相关代谢性疾病的筛查与诊断中具有重要意义.液相色谱串联质谱(LC-MS/MS)技术因灵敏度高、特异性强、可同时检测多种物质等特点在临床类固醇激素检测领域显示极大潜力.尿液区别于其他复杂生物基质,具有无创收集、前处理简单、代谢产物丰度较高、24 h尿排泄浓度稳定等优势.相比于临床应用较为广泛的血清类固醇激素定量研究,尿液类固醇激素的临床定量研究正逐步展开,尚缺少整体性综述.本文简要综述了近年来尿液类固醇激素测定领域的LC-MS/MS技术及临床应用,旨在进一步揭示基于LC-MS/MS技术的尿液类固醇激素检测在临床研究中的意义.

Tacrolimus has a narrow therapeutic index and large individual differences in pharmacokinetics. The distribution of tacrolimus in ascitic fluid and its influence on whole-blood tacrolimus were unclear. In this study, a sensitive ultra-performance liquid chromatography-tandem mass spectrometry method was established and validated for the quantification of tacrolimus in the ascitic fluid of liver transplant recipients. Chromatographic separation was achieved on an Agilent ZORBAX Eclipse Plus Phenyl-Hexyl column (2.1 x 100 mm, 3.5 mu m). Mass spectrometry was performed in multiple reaction monitoring conditions of transitions m/z 821.4 -> 768.5 for tacrolimus. The concentrations of tacrolimus in the ascitic fluid range from 0.2 to 3.0 ng/mL, accounting for 1.19-31.87% of whole-blood tacrolimus concentrations. A linear mixed model showed a statistically significant positive correlation between the steady-state trough blood concentration of tacrolimus and the corresponding amount of tacrolimus excreted in the ascitic fluid for 24 consecutive hours, especially after normalization by daily dose per unit body weight. These data suggested that the distribution of tacrolimus in the ascitic fluid has great individual differences. The whole-blood tacrolimus concentration, dose per unit body weight, and other confounding factors may contribute to the excretion of tacrolimus in ascitic fluid, but the influence of tacrolimus excretion in drained ascitic fluid on the whole-blood tacrolimus concentration is negligible.

The purpose of this study is to explore the differences in the steroid metabolic network between hyperandrogenic and non-hyperandrogenic women with polycystic ovary syndrome (PCOS). A sensitive liquid chromatography-tandem mass spectrometry (LC–MS/MS) was employed for the quantification of 36 kinds of serum steroids in 80 PCOS women during their follicular phase. Compared with those in non-hyperandrogenemia PCOS women (NA-PCOS), the levels of 17-hydroprogesterone ( P = 0.009), androstenedione ( P < 0.001), total testosterone ( P < 0.001), dihydrotestosterone ( P = 0.025), estrone ( P = 0.007), and estradiol ( P < 0.001) were increased in hyperandrogenemia PCOS (HA-PCOS) women. It was suggested that HA-PCOS may have increased activity of P450c17 (17-hydropregnenolone/pregnenolone, P = 0.008), 3βHSD2 (androstenedione/dehydroepiandrosterone, P = 0.004), and 17βHSD3 (testosterone/dehydroepiandrosterone, P = 0.01) and decreased activity of 5α reductase (dihydrotestosterone/testosterone, P = 0.008). Moreover, the ratio of luteinizing hormone (LH) to follicle stimulating hormone (FSH) was found to be related to these increased steroids and enzyme activities. In conclusion, the HA-PCOS and the NA-PCOS women showed different steroid profiles, and the different enzyme activities in steroidogenic pathway may be the main reason for the difference.

Tenofovir alafenamide (TAF) is a novel prodrug of tenofovir (TFV) that has been approved for the treatment of chronic hepatitis B virus (HBV) infection. It has greater plasma stability and more favorable renal safety than tenofovir disoproxil fumarate (TDF), the first approved oral prodrug of TFV. However, the distribution of TFV in the breast milk of mothers treated with TAF is still unclear. In this study, sixteen participants with chronic HBV infection were enrolled and received antiretroviral therapy with 25 mg of TAF or 300 mg of TDF daily from 24 to 28 weeks of gestation until the 4th week postpartum. For the first time, the distribution of TFV in the breast milk of mothers with chronic HBV infection treated with TAF and its difference from TDF were evaluated by using a sensitive UPLC–MS/MS method. Chromatographic separation was achieved on a Waters ACQUITY UPLC BEH C18 column (1.7 µm 2.1 × 100 mm). Mass spectrometry analysis was performed in positive electrospray ionization mode and multiple reaction monitoring (MRM) conditions of transitions m/z 288.1→176.2 for TFV. This method was linear from 0.5 to 500 ng/ml. Surprisingly, on the third postpartum day, the median Cmax of TFV in the breast milk was much higher in the mothers treated with TAF (101.2 ng/ml) than TDF (21.6 ng/ml) at a similar Tmax of 4 h. Accordingly, the median AUC0-8 value was 755.6 ng h/mL in the mothers taking TAF, which was at a 5-fold higher level than TDF. The concentration of TFV in the breast milk of mothers in both groups decreased with increasing lactation time. These data indicated that there was a relatively higher exposure of TFV in the breast milk of mothers taking TAF, despite the lower dosage compared to TDF. This study provides support for further evaluating the safety of breastfeeding after the administration of TAF and TDF.