High-Coverage Strategy for Multi-Subcellular Metabolome Analysis Using Dansyl-Labeling-Based LC-MS/MS.

Subcellular compartmentalization ensures orderly and efficient intracellular metabolic activities in eukaryotic life. Investigation of the subcellular metabolome could provide in-depth insight into cellular biological activities. However, the sensitive measurement of multi-subcellular metabolic profiles is still a significant challenge. Herein, we present a comprehensive subcellular fractionation, characterization, and metabolome analysis strategy. First, six subcellular fractions including nuclei, mitochondria, lysosomes, peroxisomes, microsomes, and cytoplasm were generated from a single aliquot of liver homogenate. Then, a dansyl-labeling-assisted liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for measuring 151 amino/phenol- or carboxyl-containing metabolites in the subcellular fractions was established and validated. Last, the strategy was applied to a rat model of carbon tetrachloride (CCl4)-induced acute liver injury (ALI). The metabolic profile of individual organelles was compared with that of the liver. Interestingly, many unique changes were observed specifically in organelles, while the liver failed to capture these changes. This result indicates that metabolic investigation at the tissue level might lead to erroneous results due to the leveling effect. Our study demonstrates a feasible approach for the broad-spectrum-targeted metabolic profiling of multi-subcellular fractions, which can be of great use in driving our further understanding of intracellular metabolic activities in various physical and pathological conditions.

Imatinib and M351-0056 enhance the function of VISTA and ameliorate the development of SLE via IFN-I and noncanonical NF-κB pathway.

V-domain immunoglobulin suppressor of T-cell activation (VISTA), an important negative checkpoint protein, participates in immunoregulation. Systemic lupus erythematosus (SLE) is an autoimmune disease in which patients exhibit high levels of autoantibodies and multi-organ tissue injury, primarily involving the kidney and skin. In wild-type (WT) mice and Vsir-/- mice with pristane-induced lupus-like disease, we found that VISTA deficiency exacerbated the lupus-like disease in mice, possibly through aberrant activation of type I interferon (IFN-I) signaling, CD4+ T cell, and noncanonical nuclear factor-κB (NF-κB) pathway. Surface plasmon resonance results showed that imatinib, an FDA-approved tyrosine kinase inhibitor, may have a high affinity for human VISTA-ECD with a KD value of 0.2009 µM. The biological activities of imatinib and VISTA agonist M351-0056 were studied in monocytes and T cells and in lupus-like disease murine model of chronic graft-versus-host disease (cGVHD) and lupus-prone MRL/lpr mice. VISTA small-molecule agonist reduced the cytokine production of peripheral blood mononuclear cells (PBMCs) and Jurkat cells and inhibited PBMCs proliferation. Moreover, they attenuated the levels of autoantibodies, renal injury, inflammatory cytokines, chemokines, and immune cell expansion in the cGVHD mouse model and MRL/lpr mice. Our findings also demonstrated that VISTA small-molecule agonist ameliorated the development of SLE through improving aberrantly activated IFN-I signaling and noncanonical NF-κB pathway. In conclusion, VISTA has a protective effect on the development and progression of SLE. VISTA agonist M351-0056 and imatinib have been firstly demonstrated to attenuate SLE, suggesting interventions to enhance VISTA function may be effective in treating SLE. VISTA deficiency exacerbates pristane-induced lupus-like disease in mice by promoting activation of the IFN-I and noncanonical NF-κB pathway. Imatinib was screened as a small-molecule VISTA agonist by molecular docking, SPR, and cellular level experiments. VISTA agonists (M351-0056 and imatinib) alleviated lupus-like disease progression in the cGVHD mouse model and MRL/lpr mice by inhibiting activation of IFN-I and noncanonical NF-κB pathway.

Development and validation of a sensitive LC-MS/MS method for simultaneous analysis of clopidogrel and simvastatin and their main metabolites in beagles: Application to pharmacokinetic drug interactions.

Clopidogrel (CLP) and simvastatin (SV) are commonly used in combination therapies as anti-cardiovascular drugs. However, the effect of coadministration on the absorption and metabolism of the two drugs in vivo is not clear. This study developed and validated an LC-MS/MS method for the simultaneous determination of CLP, clopidogrel carboxylic acid (CLPCA), 2-oxo-clopidogrel (2-O-CLP), SV, and simvastatin hydroxy acid (SVA) in beagle plasma. Chromatographic separation was achieved on an InfinityLab Poroshell 120 SB-C8 column (2.1 × 100 mm, 2.7 µm) using methanol and 0.1% formic acid in water as the mobile phase at a flow rate of 0.3 mL/min in gradient mode. The lower limits of quantification are 0.1, 0.8, 0.05, 0.05, and 0.05 ng/mL for CLP, CLPCA, 2-O-CLP, SV, and SVA, respectively. The selectivity, linearity, accuracy, precision, extraction recovery, matrix effect, and stability were validated within acceptable criteria. This method was successfully applied to the pharmacokinetic drug interaction study between CLP and SV, and the results revealed that combined administration affected the metabolic rate of CLP, SV, and their metabolites. This study is the first to detect CLP, CLPCA, 2-O-CLP, SV, and SVA simultaneously.

A validated LC-MS/MS method for simultaneous quantification of simvastatin and simvastatin acid in beagle plasma: Application to an absolute bioavailability study.

A highly sensitive LC-MS/MS method for simultaneous detection of both simvastatin (SV) and simvastatin acid (SVA) in beagle plasma was developed and successfully applied to an absolute bioavailability study. Lovastatin (LV) was used as internal standard (IS). The analysis was performed using electrospray ionization and selective reaction monitoring in positive mode at m/z 441.0 → 325.0 for SV, 459.0 → 343.0 for SVA and 427.0 → 325.0 for the IS, respectively. The assay procedure involved a simple liquid-liquid extraction of SV, SVA and LV from beagle plasma into methyl tert-butyl ether. Separation of SV, SVA and the IS was achieved on a Shim-pack VP-ODS column (150 × 2.0 mm, 5 µm) with a binary gradient solvent system of 0.1% formic acid in water and methanol (15:85, v/v) as the mobile phase. The method was validated over the range of 0.25-500 ng/ml for SV (r2 ≥ 0.9923) and 0.24-481.23 ng/ml for SVA (r2 ≥ 0.9987). The results of method validation for accuracy, precision, extraction recovery, matrix effect and stability were within the acceptance criteria. The values of absolute bioavailability of SV and SVA in beagles were 2.97 and 25.40%, respectively. It is the first study developed for the measurement of absolute bioavailability of SV and SVA acid in beagles.

UHPLC-MS/MS-based method for quantification of verinurad in rat plasma and its application in a bioavailability study.

A rapid and sensitive UHPLC-MS/MS method was developed and fully validated for the quantification of verinurad in rat plasma. Lesinurad was used as an internal standard (IS), and simple protein precipitation was utilized to prepare the analytes from the matrix. Chromatographic separation was carried out on a Zorbax SB C18 column. The mobile phase consisted of water with 0.1% formic acid (A) and acetonitrile with 0.1% formic acid (B) at a flow rate of 0.3 mL/min. The short run time of 4 min made it possible to analyze more than 300 samples per day. The ion transitions were quantified in negative mode with multiple reaction monitoring (MRM) transitions of 347.1 â†’ 261.1 for verinurad and 404.2 â†’ 178.9 for the IS. The validated linear ranges of verinurad were 10-5000 ng/mL in rat plasma. The validated UHPLC-MS/MS method was further applied to the pharmacokinetic study of verinurad in rat plasma after intragastric (2 mg/kg) and intravenous (1 mg/kg) administrations. The pharmacokinetic study revealed that verinurad showed high clearance and high bioavailability (78.1%). To the best of our knowledge, this is the first report of the bioavailability study of verinurad.

Absolute Quantification of Acylcarnitines Using Integrated Tmt-PP Derivatization-Based LC-MS/MS and Quantitative Analysis of Multi-Components by a Single Marker Strategy.

Acylcarnitines (ACs) play important roles in the fatty acid ß-oxidation and are considered as diagnostic markers for many diseases. Accurate determination of ACs remains challenging due to their low abundance, high structure diversity, and limited availability of standard compounds. In this study, microwave-assisted Tmt-PP (p-[3,5-(dimethylamino)-2,4,6-triazine] benzene-1-sulfonyl piperazine) derivatization was utilized to facilitate the liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) determination of ACs. The result indicated that Tmt-PP labeling enables the prediction of the retention time and MS response of ACs and enhances their MS response up to 4 times. The introduction of the microwave during the derivatization procedure greatly improved the reaction efficiency, demonstrated by the shortened reaction time from 90 to 1 min. Furthermore, we applied a strategy named quantitative analysis of multi-components by a single marker (QAMS) for the assay of 26 ACs with only 5 AC standards, solving the standard availability issue to a large extent. The established workflow was applied to discover dysregulated ACs in xenograft colon cancer mice, and the quantification results were highly comparable with traditional methods where there were the corresponding standards for each AC. Our study demonstrated that chemical derivatization-based LC-MS/MS integrated with the QAMS strategy is robust for the identification and quantification of ACs and has great potential in targeted metabolomics study.

Tryptophan Pathway-Targeted Metabolomics Study on the Mechanism and Intervention of Cisplatin-Induced Acute Kidney Injury in Rats.

Cisplatin is a chemotherapeutic agent widely employed in the treatment of various solid tumors. However, its use is often restricted by acute kidney injury (AKI) which is the dose-limiting adverse effect of cisplatin. While numerous studies aiming to alleviate the AKI have been conducted, there are no effective remedies in clinical practice. In this paper, a targeted metabolomics study was performed to reveal the potential relationship between tryptophan metabolism and cisplatin-induced AKI. A chemical derivatization integrated liquid chromatography coupled tandem mass spectrometry (LC-MS/MS) approach was utilized to quantify 29 metabolites in the tryptophan pathway in rat kidney medulla and cortex after cisplatin administration. Results showed that tryptophan metabolism was remarkably disturbed both in the medulla and cortex after cisplatin administration. We also found that the tryptophan pathway in the medulla was more sensitive to cisplatin exposure compared with the cortex. Among these metabolites, indoxyl sulfate was focused for further study because it accumulated most significantly in the kidney cortex and medulla in a dose-dependent manner. A function verification study proved that chlormethiazole, a widely used CYP2E1 inhibitor, could reduce the production of indoxyl sulfate in the liver and attenuate cisplatin-induced AKI in rats. In conclusion, our study depicted the tryptophan pathway in cisplatin-induced AKI for the first time and demonstrated tryptophan metabolism is closely associated with the renal toxicity caused by cisplatin, which can be of great use for the discovery of renal toxicity attenuating remedies.

Attenuation of doxorubicin-induced oxidative damage in rat brain by regulating amino acid homeostasis with Astragali Radix.

The nervous system disorders caused by doxorubicin (DOX) are among the severe adverse effects that dramatically reduce the quality of life of cancer survivors. Astragali Radix (AR), a popular herbal drug and dietary supplement, is believed to help treat brain diseases by reducing oxidative stress and maintaining metabolic homeostasis. Here we show the protective effects of AR against DOX-induced oxidative damage in rat brain via regulating amino acid homeostasis. By constructing a clinically relevant low-dose DOX-induced toxicity rat model, we first performed an untargeted metabolomics analysis to discover specific metabolic features in the brain after DOX treatment and AR co-treatment. It was found that the amino acid (AA) metabolism pathways altered most significantly. To accurately characterize the brain AA profile, we established a sensitive, fast, and reproducible hydrophilic interaction chromatography-tandem mass spectrometry method for the simultaneous quantification of 22 AAs. The targeted analysis further confirmed the changes of AAs between different groups of rat brain. Specifically, the levels of six AAs, including glutamate, glycine, serine, alanine, citrulline, and ornithine, correlated (Pearson |r| > 0.47, p < 0.05) with the brain oxidative damage that was caused by DOX and rescued by AR. These findings present that AAs are among the regulatory targets of DOX-induced brain toxicity, and AR is a promising therapeutic agent for it.

Metabolic network-based identification of plasma markers for non-small cell lung cancer.

Metabolic markers, offering sensitive information on biological dysfunction, play important roles in diagnosing and treating cancers. However, the discovery of effective markers is limited by the lack of well-established metabolite selection approaches. Here, we propose a network-based strategy to uncover the metabolic markers with potential clinical availability for non-small cell lung cancer (NSCLC). First, an integrated mass spectrometry-based untargeted metabolomics was used to profile the plasma samples from 43 NSCLC patients and 43 healthy controls. We found that a series of 39 metabolites were altered significantly. Relying on the human metabolic network assembled from Kyoto Encyclopedia of Genes and Genomes (KEGG) database, we mapped these differential metabolites to the network and constructed an NSCLC-related disease module containing 23 putative metabolic markers. By measuring the PageRank centrality of molecules in this module, we computationally evaluated the network-based importance of the 23 metabolites and demonstrated that the metabolism pathways of aromatic amino acids and long-chain fatty acids provided potential molecular targets of NSCLC (i.e., IL4l1 and ACOT2). Combining network-based ranking and support-vector machine modeling, we further found a panel of eight metabolites (i.e., pyruvate, tryptophan, and palmitic acid) that showed a high capability to differentiate patients from controls (accuracy > 97.7%). In summary, we present a meaningful network method for metabolic marker discovery and have identified eight strong candidate metabolites for NSCLC diagnosis.

Dynamic metabolomic analysis of intestinal ischemia-reperfusion injury in rats.

Intestinal ischemia-reperfusion injury (IIR) is a life-threatening abdominal emergency. Compared to traditional steady-state works, we profiled the blood of rats over 72 hr (15 time points) and examined dynamic changes in molecular pathways during IIR. Using a series of methods designed for dynamic datasets analysis (batch effects corrections, metabolomics data reduction, and different features selection), we identified 39 significant different metabolites and discovered the trends of these molecules. Four main patterns were uncovered by a longitudinal pattern recognition method. Furthermore, pathway networks were explored to uncover the possible mechanisms of IIR. We found that IIR is a complex physiological process involved in multiple pathways, such as biosynthesis of amino acids, 2-oxocarboxylic acid metabolism, arginine-related metabolism, and glutathione metabolism. Among which, metabolites related with phenylalanine tyrosine and tryptophan metabolism reached a peak during the early stage of reperfusion, while molecules in biosynthesis of unsaturated fatty acids metabolism declined. Our work provides a feasible scheme to understand dynamic molecule variation and will provide new explications about the effect of intestinal ischemia reperfusion from a dynamic perspective.

Impact of 14 types of genetic polymorphisms on antihypertensive efficacy of felodipine in healthy Chinese subjects
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OBJECTIVE: This study evaluated different influences of 14 single nucleotide polymorphisms (SNPs) and demographic factors leading to individual differences in the antihypertensive efficacy of felodipine in healthy Chinese subjects. MATERIALS AND METHODS: 24 subjects were sequenced for candidate SNPs. Plasma samples were obtained as clinical trial protocol, and were determined by a HPLC-MS/MS method. Pharmacokinetic parameters were calculated by WinNonlin 6.0. Statistical analysis was mainly performed by SPSS 22.0. A multiple linear regression model provided different weight coefficients of different demographic and genetic factors. RESULTS: The trend of Cmax is almost consistent with AUCss increase, but tmax of individuals is different; the antihypertensive effect of felodipine is individually different. A significant association was observed between systolic blood pressure decrease (ΔSBP) and SNPs of CACNA1C, CACNA1D, GNB3 respectively, while CACNA1C and CACNA1 were associated with diastolic blood pressure decrease (ΔDBP). CYP3A5 rs766746 and CYP3A4 rs2242480 were linked with Cmax and AUCss, and ABCB1 rs1045642 was associated with T1/2. Significant relationships were shown between AUCss and ΔSBP (p = 0.022) as well as Cmax and ΔSBP (p = 0.015). CONCLUSION: The efficacy of felodipine is individually different, influenced especially by CACNA1C rs1051375 and ABCB1 rs1045642. ΔDBP is associated with ΔSBP in multiple-dosing of felodipine in healthy Chinese subjects.

Time Series Characteristics of Serum Branched-Chain Amino Acids for Early Diagnosis of Chronic Heart Failure.

Chronic heart failure (CHF) is an ongoing clinical syndrome with cardiac dysfunction that can be traced to alterations in cardiac metabolism. The identification of metabolic biomarkers in easily accessible fluids to improve the early diagnosis of CHF has been elusive to date. In this study, we took multidimensional analytical techniques to discover potentially new diagnostic biomarkers by focusing on the dynamic changes of metabolites in serum during the progression of CHF. Using mass-spectrometry-based untargeted metabolomics, we identified 23 cardiac metabolites that were altered in a rat model of myocardial infarction induced CHF. Among these differential metabolites, branched-chain amino acids (BCAAs) in serum, especially leucine and valine, showed a high capability to differentiate between CHF and sham-operated rats, of which area under the receiver operating characteristic curve was greater than 0.75. Combining with targeted analysis of the amino acids and related proteins and genes, we confirmed that BCAA metabolic pathway was significantly inhibited in rat failing hearts. On the basis of the time series data of serum samples, we characterized the fluctuation pattern of circulating BCAAs by the disease progression model. Finally, the time-resolved diagnostic potential of serum BCAAs was evaluated by the machine-learning-based classifier, and high diagnostic accuracy of 93.75% was achieved within 3 weeks after surgery. These findings provide a promising metabolic signature that can be further exploited for CHF early diagnostic development.

Metabolomics-driven identification of adenosine deaminase as therapeutic target in a mouse model of Parkinson's disease.

Neuroinflammation is one of the driving forces of progressive neurodegeneration in Parkinson's disease (PD). The metabolomics approach has been proved highly useful in identifying potential therapeutic targets. Here, to identify inflammation-relevant treatment targets for PD, mass spectrometry-based untargeted metabolomics was applied to characterize metabolic changes in the striatum of mice with double-hit PD induced by lipopolysaccharide plus 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP). Seven days after the final MPTP administration, metabolites from the purine metabolism pathway, including adenosine, 1-methyladenosine, adenine, inosine, hypoxanthine, xanthine, xanthosine, and guanosine, were found to be significantly dysregulated. The metabolite-protein interaction network and changes in the concentration ratio of these metabolites indicated that adenosine and adenosine deaminase (ADA; EC 3.5.4.4) were the most promising therapeutic targets and adenosine augmentation might be a rational approach to slow PD progression. These findings were then verified in a subacute MPTP-induced PD mouse model treated with ADA inhibition alone or in conjunction with antagonism of adenosine A2A receptors (A2A R). Behavioral, biochemical, and immunohistochemical analysis demonstrated that ADA inhibition significantly ameliorated the MPTP-mediated motor disabilities, dopamine depletion, and dopaminergic cell death. Significantly enhanced neuroprotective effects were further observed when the ADA inhibitor was utilized in conjunction with an A2A R antagonist. Together, our study indicated for the first time that ADA inhibitors protected against neurodegeneration induced by the neurotoxin MPTP, and ADA inhibitors in combination with A2A R antagonists showed additive antiparkinsonian effects.

Cardioprotective roles of sestrin 1 and sestrin 2 against doxorubicin cardiotoxicity.

Doxorubicin is a chemotherapy medication widely used to treat a variety of cancers. Even though it offers one of the most effective anti-cancer treatments, its clinical use is limited because of its strong cardiotoxicity that can lead to fatal conditions. Here, we show that sestrin 1 and sestrin 2, members of the sestrin family of proteins that are stress-inducible regulators of metabolism, are critical for suppressing doxorubicin cardiotoxicity and coordinating the AMPK-mammalian target of rapamycin complex 1 (mTORC1) autophagy signaling network for cardioprotection. Expression of both sestrin 1 and sestrin 2 was highly increased in the mouse heart after doxorubicin injection. Genetic ablation of sestrin 1 and sestrin 2 rendered mice more vulnerable to doxorubicin and exacerbated doxorubicin-induced cardiac pathologies including cardiomyocyte apoptosis and cardiac dysfunction. These pathologies were associated with strong dysregulation of the cardiac signaling network, including suppression of the AMPK pathway and activation of the mTORC1 pathway. Consistent with AMPK downregulation and mTORC1 upregulation, autophagic activity of heart tissue was diminished, leading to prominent accumulation of autophagy substrate, p62/SQSTM1. Taken together, our results indicate that sestrin 1 and sestrin 2 are important cardioprotective proteins that coordinate metabolic signaling pathways and autophagy to minimize cardiac damage in response to doxorubicin insult. Augmenting this protective mechanism could provide a novel therapeutic rationale for prevention and treatment of doxorubicin cardiotoxicity. NEW & NOTEWORTHY Doxorubicin is a highly efficient chemotherapeutic medicine; however, its use is limited because of its strong cardiotoxicity. Here, we show that sestrin 1 and sestrin 2 are critical protectors of cardiomyocytes from doxorubicin damage. By upregulating AMPK and autophagic activities and suppressing mammalian target of rapamycin complex 1 and oxidative stress, sestrins counteract detrimental effects of doxorubicin on cardiomyocytes. Correspondingly, loss of sestrin 1 and sestrin 2 produced remarkable dysregulation of these pathways, leading to prominent cardiac cell death and deterioration of heart function.

Localization of malonyl and acetyl on substituted saikosaponins according to the full-scan mass spectra and the fragmentation of sodium-adduct ions in the positive mode.

RATIONALE: Discriminating between aglycone-substituted and saccharide-substituted saikosaponins by liquid chromatography/tandem mass spectrometry (LC/MSn ) is a long-standing issue that is still to be resolved. It is necessary to characterize the two types of substituted saikosaponins taking into consideration the potential significant difference in their bioactivity. METHODS: Taking the substituents malonyl and acetyl as examples, we developed a MS strategy to discriminate between the aglycone-substituted and saccharide-substituted saikosaponins through comparing their Y0 - nH2 O (n = 1-2) ions from the protonated molecules in the full-scan mass spectra and their B ions in the MS2 spectra of sodium-adduct molecules in the positive mode. RESULTS: The deprotonated molecules of the aglycone-substituted saikosaponins presented similar fragmentation patterns to those of saccharide-substituted ones in the negative mode, which could not discriminate whether the substitutes were located on the aglycone or the saccharide. In contrast, the Y0 - nH2 O (n = 1-2) ions containing or no substituent were observed respectively in the mass fragmentation of the protonated molecules of aglycone-substituted or saccharide-substituted saikosaponins in the positive mode. In addition, the B ions containing or no substituent were observed respectively in the mass fragmentation of the sodium-adduct molecules of the saccharide-substituted or aglycone-substituted saikosaponins in the positive mode. Two aglycone-malonylated saikosaponins were reported for the first time. CONCLUSIONS: Whether the substituents were located on the aglycone or the saccharide could be determined according to the Y0 - nH2 O (n = 1-2) ions from the protonated molecules in the full-scan mass spectra and the B ions in the MS2 spectra of sodium-adduct molecules in the positive mode. Our results have updated the mass fragmentation patterns of substituted saikosaponins, which is helpful for the quality control of pharmaceutical preparations containing saikosaponins. More importantly, this MS strategy should be able to be extended to characterize other substituted saponins of bioactive significance in future studies.

Quantitative characterization of glutaminolysis in human plasma using liquid chromatography-tandem mass spectrometry.

Glutaminolysis is the metabolic pathway that lyses glutamine to glutamate, alanine, citrate, aspartate, and so on. As partially recruiting reaction steps from the tricarboxylic acid (TCA) cycle and the malate-aspartate shuttle, glutaminolysis takes essential place in physiological and pathological situations. We herein developed a sensitive, rapid, and reproducible liquid chromatography-tandem mass spectrometry method to determine the perturbation of glutaminolysis in human plasma by quantifying 13 involved metabolites in a single 20-min run. A pHILIC column with a gradient elution system consisting of acetonitrile-5 mM ammonium acetate was used for separation, while an electrospray ionization source (ESI) operated in negative mode with multiple reaction monitoring was employed for detection. The method was fully validated according to FDA's guidelines, and it generally provided good results in terms of linearity (the correlation coefficient no less than 0.9911 within the range of 0.05-800 µg/mL), intra- and inter-day precision (less than 18.38%) and accuracy (relative standard deviation between 89.24 and 113.4%), with lower limits of quantification between 0.05 and 10 µg/mL. The new analytical approach was successfully applied to analyze the plasma samples from 38 healthy volunteers and 34 patients with type 2 diabetes (T2D). Based on the great sensitivity and comprehensive capacity, the targeted analysis revealed the imperceptible abnormalities in the concentrations of key intermediates, such as iso-citrate and cis-aconitate, thus allowing us to obtain a thorough understanding of glutaminolysis disorder during T2D. Graphical abstract ᅟ.

Toxic effects of triptolide on adrenal steroidogenesis in H295R cells and female rats.

Triptolide (TP), a major active ingredient of Tripterygium wilfordii, exerts potent immunosuppressive effects in the treatment of rheumatoid arthritis but is not widely used in clinical practice due to its multiorgan toxicity, particularly hepatotoxicity, nephrotoxicity, and reproductive toxicity. An LC-MS/MS approach was employed to explore the endocrine-disrupting effects of TP. The endocrine-disrupting effects of various concentrations (0-100 nM) of TP for 48 hour were firstly investigated using an in vitro model (H295R cell line). It was found that TP did not decrease cell viability. The transcriptional levels of steroidogenic enzymes in H295R cells were assessed by quantificational real-time polymerase chain reaction. The possible adrenal and endocrine effects of oral administration of TP (0, 50, and 500 µg/kg) for 28 days on both normal and collagen-induced arthritis (CIA) rats were also explored. The serum and adrenal tissue hormone levels (corticosterone and progesterone) and adrenal histopathology were analyzed, with the results that TP significantly decreased the level of cortisol in H295R cells and the level of plasma corticosterone in both normal and CIA rats. Histological alterations in adrenal cortex were observed at the dose of 500 µg/kg. Exposure to TP for 48 hour had an obvious inhibitory effect on the messenger RNA transcript levels of HSD3B2, CYP21A2, CYP17A1, and CYP11B1, which is essential for the synthesis of corticosteroids. In a word, TP leads to the disorder of corticosteroid synthesis and secretion, and corticosteroid may be a potential biomarker for the treatment of multiorgan toxicity of TP.

Analysis of dihydroindole-type alkaloids in Strychnos nux-vomica unprocessed and processed seeds by high-performance liquid chromatography coupled with diode array detection and mass spectrometry.

The ripened seeds of Strychnos nux-vomica L. have been extensively used as herbal medicines in Asian countries. Dihydroindole-type alkaloids are not only the active constituents but also the toxicants in Strychnos. However, the simultaneous determination of these alkaloids in both crude and processed Semen Strychni is still lacking. The present study represents the first quantitation and relative quantitation assay of 12 dihydroindole-type alkaloids in Strychnos nux-vomica unprocessed and sand-processed seeds using high-performance liquid chromatography coupled with diode array detection and mass spectrometry. The relative concentration of ten alkaloids was calculated by semi-quantification using the internal standard and their amounts in unprocessed and detoxified Semen Strychni were compared. We report here for the first time the significant increase of the two alkaloids, 19-N-methyl-strychnine, and 2,3-dimethoxy-19-N-methyl-strychnine, during the processing of Semen Strychni. Our study provides new insight into the true complexity of seed processing procedure and valuable information for assessing the efficacy and safety for clinical applications of Semen Strychni-containing drugs.

Enantioseparation of N-acetyl-glutamine enantiomers by LC-MS/MS and its application to a plasma protein binding study.

A novel chiral method was developed and validated to determine N-acetyl-glutamine (NAG) enantiomers by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Enantioseparation was achieved on a Chiralpak QD-AX column (150 × 4.6 mm i.d., 5 µm) using methanol-water (50 mm ammonium formate, pH 4.3; 70:30, v/v) at a flow rate of 500 µL/min. The detection was operated with an electrospray ionization source interface in positive mode. The ion transition for NAG enantiomers was m/z 189.0 → 130.0. The retention time of N-acetyl-l-glutamine and N-acetyl-d-glutamine were 15.2 and 17.0 min, respectively. Calibration curves were linear over the range of 0.02-20 µg/mL with r > 0.99. The deviation of accuracy and the coefficient of variation of within-run and between-run precision were within 10% for both enantiomers, except for the lower limit of quantification (20 ng/mL), where they deviated <15%. The recovery was >88% and no obvious matrix effect was observed. This method was successfully applied to investigate the plasma protein binding of NAG enantiomers in rats. The results showed that the plasma protein binding of NAG enantiomers was stereoselective. The assay method also exhibited good application prospects for the clinical monitoring of free drugs in plasma.

Untargeted Metabolomics Study of the In Vitro Anti-Hepatoma Effect of Saikosaponin d in Combination with NRP-1 Knockdown.

Saikosaponin d (SSd) is one of the main active ingredients in Radix Bupleuri. In our study, network pharmacology databases and metabolomics were used in combination to explore the new targets and reveal the in-depth mechanism of SSd. A total of 35 potential targets were chosen through database searching (HIT and TCMID), literature mining, or chemical similarity predicting (Pubchem). Out of these obtained targets, Neuropilin-1 (NRP-1) was selected for further research based on the degree of molecular docking scores and novelty. Cell viability and wound healing assays demonstrated that SSd combined with NRP-1 knockdown could significantly enhance the damage of HepG2. Metabolomics analysis was then performed to explore the underlying mechanism. The overall difference between groups was quantitatively evaluated by the metabolite deregulation score (MDS). Results showed that NRP-1 knockdown exhibited the lowest MDS, which demonstrated that the metabolic profile experienced the slightest interference. However, SSd alone, or NRP-1 knockdown in combination with SSd, were both significantly influenced. Differential metabolites mainly involved short- or long-chain carnitines and phospholipids. Further metabolic pathway analysis revealed that disturbed lipid transportation and phospholipid metabolism probably contributed to the enhanced anti-hepatoma effect by NRP-1 knockdown in combination with SSd. Taken together, in this study, we provided possible interaction mechanisms between SSd and its predicted target NRP-1.