Multiple-matrices metabolomics combined with serum pharmacochemistry for discovering the potential targets and active constituents of Qifu decoction against heart failure.

Qifu decoction (QFD) is an ancient traditional Chinese medicine (TCM) prescription for the treatment of heart failure. However, the mechanisms and active constituents of QFD are poorly understood. In this study, multi-matrices metabolomics (serum, urine, and myocardial mitochondria) based on ultra-high performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UHPLC-Q-TOFMS), were employed for exploring the mechanisms of QFD against heart failure in rat model. Twenty-one, seventeen, and fifteen endogenous metabolite biomarkers associated with heart failure were identified from serum, urine, and myocardial mitochondria datasets, respectively. Fourteen, twelve, and ten of the identified serum, urine, and mitochondria biomarkers were significantly reversed by QFD, respectively. QFD-targeted pathways were involved in TCA cycle, branched chain amino acids metabolism, fatty acid ß-oxidation, sphingolipid metabolism, glycerophospholipid metabolism, arachidonic acid metabolism, tryptophan metabolism, purine metabolism. In addition, QFD-derived constituents in serum were fully analyzed by UHPLC-Q-TOFMS and SUS-plot, and 24 QFD-derived components were identified in serum. Then, the correlation analysis between the QFD-reversed serum biomarkers and QFD-derived constituents in serum was employed to dissect the active constituents of QFD. It was found that eight prototypical components and three metabolites were highly correlated with efficacy and could serve as the active constituents of QFD against heart failure. Finally, neoline and calycosin, which highly correlated with branched-chain amino acid metabolism and fatty acid ß-oxidation, were selected to validate in Na2S2O4-induced cell model. It was found that neoline and calycosin provided a significant protective effect against Na2S2O4-induced cell death in a low dose-dependent manner and increased the expressions of the pathway-related protein CPT1B and BCAT2 in the cell model. In conclusions, these findings provided light on the mechanisms and active constituents of QFD against heart failure. Neoline and calycosin could be selected as potential quality-markers of QFD against heart failure.

Multiple mitochondria-targeted components screened from Sini decoction improved cardiac energetics and mitochondrial dysfunction to attenuate doxorubicin-induced cardiomyopathy.

Rationale: Sini decoction (SND) is an efficient formula against DOX-induced cardiomyopathy (DCM), but the active ingredient combination (AIC) and mechanisms of SND remain unclear. Therefore, the present study aimed to identify the AIC and elucidate the underlying mechanism of AIC on DCM. Methods: The AIC were screened by a novel comprehensive two-dimensional cardiac mitochondrial membrane chromatography (CMMC)-TOFMS analysis system and further validated by cell viability, reactive oxygen species (ROS) generation, ATP level, and mitochondrial membrane potential in DOX-induced H9c2 cell injury model. Then, an integrated model of cardiac mitochondrial metabolomics and proteomics were applied to clarify the underlying mechanism in vitro. Results: The CMMC column lifespan was significantly improved to more than 10 days. Songorine (S), neoline, talatizamine, 8-gingerol (G) and isoliquiritigenin (I), exhibiting stronger retention on the first-dimension CMMC column, were screened to have protective effects against DOX cardiotoxicity in the H9c2 cell model. S, G and I were selected as an AIC from SND according to the bioactivity evaluation and the compatibility theory of SND. The combined in vitro use of S, G and I produced more profound therapeutic effects than any component used individually on increasing ATP levels and mitochondrial membrane potential and suppressing intracellular ROS production. Moreover, SGI attenuated DCM might via regulating mitochondrial energy metabolism and mitochondrial dysfunction. Conclusions: The provided scientific evidence to support that SGI combination from SND could be used as a prebiotic agent for DCM. Importantly, the proposed two-dimensional CMMC-TOFMS analytical system provides a high-throughput screening strategy for mitochondria-targeted compounds from natural products, which could be applied to other subcellular organelle models for drug discovery.

Untargeted metabolomics reveals the combination effects and mechanisms of Huangqi-fuzi herb-pair against doxorubicin-induced cardiotoxicity.

ETHNOPHARMACOLOGICAL RELEVANCE: Qifu decoction (QFD) is a famous traditional Chinese medicine (TCM) composed of Astragali Radix (HuangQi) and Aconiti Lateralis Radix Praeparaia (Fuzi), which can alleviate doxorubicin (DOX)-induced cardiotoxicity (DIC). However, its protective mechanism remains obscured. AIM OF THE STUDY: The present study aimed to uncover the cardioprotective mechanism and the synergistic effect of QFD against DIC in mice. MATERIALS AND METHODS: The cardioprotective activity of QFD against DIC was assessed by electrocardiogram, serum biochemical assays and histopathology. Mass spectrometry-based metabolomic approach was conducted to elucidate the preventive mechanisms of QFD, HuangQi decoction (HQD), and Fuzi decoction (FZD) against DIC. QFD, HQD, FZD-targeted metabolic pathways were identified and compared to investigate the synergistic mechanism of QFD by computational systems analysis. Quantitative real-time PCR (qRT-PCR) was further employed to validate the key metabolic pathways at the level of the gene. RESULTS: The electrocardiogram combined with the biochemical analysis and histopathology showed that the protection effects were sorted as QFD > HQD ≈ FZD. A total of 41 metabolites contributing to DIC were identified in the mice serum, among which 32, 12 and 10 metabolites were significantly reverted by QFD, HQD and FZD, respectively. Metabolic pathway analysis revealed that DOX perturbed 12 metabolic pathways, and QFD, HQD, and FZD-treated groups could significantly reverse 12, 7 and 6 metabolic pathways of these 12 metabolic pathways. Metabolic pathway and qRT-PCR revealed that QFD could protect DIC mainly by regulating energy metabolism, amino acids metabolism, arachidonic acid metabolism and glycerophospholipid metabolism, and HQD and FZD mutually reinforced each other. CONCLUSION: These evidences revealed that QFD was a promising drug candidate for DIC by maintaining metabolic homeostasis. Meanwhile, this work provided a useful approach for evaluating the efficacy and the synergistic effects of TCMs against cardiomyopathy.

HILIC-MS-based metabolomics reveal that Astragalus polysaccharide alleviates doxorubicin-induced cardiomyopathy by regulating sphingolipid and glycerophospholipid homeostasis.

Doxorubicin (DOX) is widely used against cancer but carries the risk of a progressive cardiomyopathy. Astragalus polysaccharides (ASP) is the main active ingredient of Astragalus membranaceus Bunge. It has been proved to be effective against DOX-induced cardiomyopathy. However, its therapeutic mechanism is not yet well explored. In this study, a metabolomics approach based on hydrophilic interaction liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (HILIC-Q-TOFMS) was developed to characterize the metabolic fluctuations associated with DOX cardiomyopathy and elucidate the underlying mechanisms of the protective effects of ASP. By the combination of HILIC-Q-TOFMS and multivariate and univariate data analysis, we identified 22 polar serum metabolites associated with DOX cardiomyopathy, 12 of which were significantly reversed when the animals were co-treated with ASP through two main metabolic pathways, i.e., sphingolipid and glycerophospholipid metabolism. Furthermore, it was found that ASP could alleviate DOX-induced cardiomyopathy by decreasing the levels of acid sphingomyelinase, acid ceramidase and phospholipase A2 and increasing the levels of sphingomyelin synthase to regulate the sphingolipid and glycerophospholipid metabolic disorder. These results revealed that sphingolipid and glycerophospholipid metabolism may be significantly responsible for DOX cardiomyopathy, which is also a major mechanism for the action of ASP against DOX cardiomyopathy.

Chemical profile of Swertia mussotii Franch and its potential targets against liver fibrosis revealed by cross-platform metabolomics.

ETHNOPHARMACOLOGICAL RELEVANCE: Swertia mussotii Franch (SMF) is a well-known Tibetan medicine for the treatment of liver disease in China. However, the chemical profile and molecular mechanism of SMF against hepatic fibrosis are not yet well explored. AIM OF THE STUDY: This work aimed to elucidate the chemical profile of SMF and investigate the action mechanisms of SMF against carbon tetrachloride (CCl4)-induced hepatic fibrosis. MATERIALS AND METHODS: Ultra performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q-TOFMS) and UNIFI platform was firstly employed to reveal the chemical profile of SMF. Cross-platform serum metabolomics based on gas chromatography/liquid chromatography-mass spectrometry were performed to characterize the metabolic fluctuations associated with CCl4-induced hepatic fibrosis in mice and elucidate the underlying mechanisms of SMF. Western blotting was further applied to validate the key metabolic pathways. RESULTS: A total of 31 compounds were identified or tentatively characterized from SMF. Twenty-seven differential metabolites were identified related with CCl4-induced liver fibrosis, and SMF could significantly reverse the abnormalities of seventeen metabolites. The SMF-reversed metabolites were involved in arachidonic acid metabolism, glycine, serine and threonine metabolism, tyrosine metabolism, arginine and proline metabolism, primary bile acid biosynthesis, glycerophospholipid metabolism and TCA cycle. The results of western blotting analysis showed that SMF could alleviate liver fibrosis by increasing the levels of CYP7A1, CYP27A1 and CYP8B1 and decreasing the level of LPCAT1 to regulate the metabolic disorders of primary bile acid biosynthesis and glycerophospholipid. CONCLUSION: It could be concluded that primary bile acid biosynthesis and glycerophospholipid metabolism were the two important target pathways for SMF-against liver fibrosis, which provided the theoretical foundation for its clinical use.

Annexin A1 is a potential biomarker of bone metastasis in small cell lung cancer.

Small cell lung cancer (SCLC) is a subtype of lung cancer with a poor prognosis, with bone metastasis being one of the main causes of treatment failure. Therefore, investigating new biomarkers associated with bone metastasis may result in positive treatment outcomes. The present study detected the expression levels of annexin A1 (ANXA1) in the serum of 82 patients with SCLC using ELISA. ANXA1 expression in patients with SCLC with bone metastasis was significantly higher compared with that in patients without bone metastasis. Receiver operating characteristic analysis revealed that ANXA1 expression was significant in the diagnosis of bone metastasis in SCLC. ANXA1 was inhibited in SBC-5 cells and overexpressed in SBC-3 cells. Results revealed that ANXA1 was able to enhance SCLC cell proliferation, invasion, migration and bone adhesion in vitro. In vivo xenograft bone metastasis assays indicated that ANXA1 had the potential to promote the bone-metastasis ability of SCLC cells in NOD/SCID mice. Furthermore, ANXA1 increased parathyroid hormone-related protein secretion and enhanced Smad2 phosphorylation following TGF-ß treatment in SCLC cells. Overall, ANXA1 may be involved in the pathogenesis of bone metastasis in SCLC and may be a potential biomarker for the diagnosis of SCLC.

The compatibility effects of sini decoction against doxorubicin-induced heart failure in rats revealed by mass spectrometry-based serum metabolite profiling and computational analysis.

ETHNOPHARMACOLOGICAL RELEVANCE: Sini decoction (SND) is a famous Traditional Chinese Medicine (TCM) formula composed of Acontium carmichaeli, Zingiber officinale and Glycyrrhiza uralensis, which is considered as an efficient formula against doxorubicin (DOX)-induced heart failure. But the compatibility mechanism of SND remains unclear. AIM OF THE STUDY: The present study aimed to investigate the compatibility mechanism of SND against DOX-induced heart failure in rats. MATERIALS AND METHODS: Mass spectrometry-based serum metabolomics were performed. The relative distance values (RDVs) of SND, A. carmichaeli-free decoction (ACFD), Z. officinale-free decoction (ZOFD) and G. uralensis-free decoction (GUFD) treated groups from the control/DOX groups in multidimensional space were calculated to provide a measure of compatibility effect of SND. SND, ACFD, ZOFD, GUFD-targeted metabolic pathways were identified and compared to investigate the synergistic mechanism of SND by computational systems analysis. Real-time quantitative PCR was further employed to validate the key metabolic pathways at the level of the gene. RESULTS: The RDVs combined with the hemodynamic and biochemical analysis showed that the protection effects were sorted as SND > GUFD > ZOFD > ACFD. It revealed that DOX-induced heart failure perturbed 16 metabolic pathways, and SND, GUFD, ZOFD and ACFD-treated groups could significantly reversed 12, 10, 7 and 6 metabolic pathways of these 16 metabolic pathways, respectively. Metabolic pathway and RT-PCR analysis indicated that both SND and GUFD could protect DOX-induced heart failure mainly by regulating PLA2-COX pathway and PLA2-CYP pathway. CONCLUSION: It can be concluded that A. carmichaeli played an essential role in attenuation of DOX-induced heart failure among the three herb constituents of SND and the constituent herbs mutually reinforced each other. This work demonstrated that metabolomics combined with computational systems analysis was a promising tool for uncovering the compatibility effects of TCM.

Identification of novel serum biomarker for the detection of acute myeloid leukemia based on liquid chromatography-mass spectrometry.

Acute myeloid leukemia (AML) is a life-threatening hematological malignancy. Traditional diagnosis of AML depends on invasive bone marrow biopsies. To recognize the metabolic characteristics related with AML and search for early non-invasive biomarkers of AML, in this work we applied ultra-high performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry (UHPLC-Q-TOFMS)-based metabolomoc method to profile serum metabolites from 55 de novo AML patients and 45 age- and gender-matched healthy subjects and to screen and validate AML biomarkers. We observed AML-related metabolic differences mainly involved in alanine, aspartate and glutamate metabolism; d-Glutamine and d-glutamate metabolism; tryptophan metabolism; taurine and hypotaurine metabolism; and phenylalanine metabolism as well as fatty acid metabolism. A serum metabolite biomarker panel consisting of glutamic acid, kynurenine and oleic acid was defined and validated based on binary logistic regression analysis and receiver operating characteristic curves (ROC) analysis, yielding an area under the ROC curve (AUC) of 0.981 with 0.975 sensitivity and 0.933 specificity in the discovery set and an AUC of 0.973 with 0.933 sensitivity and 0.933 specificity in the validation set. This work demonstrated the UHPLC- MS-based metabolomics as a low invasive potential tool for the detection of AML, and this composite serum metabolite panel exhibited good diagnostic performance for AML in this case-control study and deserved further validation in a large-scale clinical trial. The identified metabolic pathways were also potentially worthy of further studying the pathogenesis of AML.

Pharmacokinetics of monoester-diterpenoid alkaloids in myocardial infarction and normal rats after oral administration of Sini decoction by microdialysis combined with liquid chromatography-tandem mass spectrometry.

Monoester-diterpenoid alkaloids are the main bioactive components of Sini decoction, which is a well-known traditional Chinese medicine formula for the treatment of myocardial infarction (MI) and heart failure in China. In this work, an ultra-high-performance liquid chromatography-mass spectrometry combined with microdialysis method was successfully established and applied for investigating for the first time comparative plasma pharmacokinetics of three monoester-diterpenoid alkaloids (benzoylmesaconitine, benzoylaconitine and benzoylhypacoitine) in normal and MI rats after oral administration of Sini decoction. The statistical results of pharmacokinetic parameters demonstrated that benzoylmesaconitine, benzoylaconitine and benzoylhypacoitine showed lower peak concentration, longer half-life, smaller area under the concentration-time curve, slower clearance, time to peak concentration and mean residence time in MI rats than in normal rats (p < 0.05), which indicated that monoester-diterpenoid alkaloids exhibited lower systemic exposure and slower elimination in the MI rats. The results provided the experimental basis for understanding the metabolic fate and therapeutic effects of Sini decoction.

Correlation of drug-induced and drug-related ultra-high performance liquid chromatography-mass spectrometry serum metabolomic profiles yields discovery of effective constituents of Sini decoction against myocardial ischemia in rats.

Screening active constituents of traditional Chinese medicines (TCMs) is vital for lead compound discovery. Sini decoction (SND) is a well-known TCM formula for relieving myocardial ischemia (MI) in clinic. Due to complex nature, the effective compounds of SND are still unknown. In this study, a novel "system to system" strategy based on the correlation of drug-related and drug-induced ultra-high performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UHPLC-Q-TOFMS) serum metabolomic profiles was developed to discover bioactive compounds of SND against isoproterenol-induced MI. Thirteen SND-induced metabolites and 19 SND-related metabolites were identified by UHPLC-Q-TOFMS coupled with S-plot and SUS-plot of orthogonal projection to latent structure-discriminant analysis (OPLS-DA) models, respectively. Canonical correlation analysis between the SND-induced and SND-related metabolites revealed that 12 compounds had strongly correlated relationship with the protective effect of SND on MI, and these compounds include isotalatizidine, songorine, fuziline, neoline, talatizamine, 14-acetyltalatizamine, liquiritigenin, benzoylmesaconitine, isoliquiritin, benzoylaconitne, benzoylhypaconitine and 6-gingerol. Combination functional enrichment analysis and network topology analysis revealed that the targeted metabolic pathways of these correlated compounds were involved in valine, leucine and isoleucine biosyntheses, tryptophan metabolism, glycerophospholipid metabolism and sphingolipid metabolism. The results demonstrated that the "system to system" strategy may be a high-throughput method to discover potentially effective compounds from TCMs.

Cross-platform metabolic profiling deciphering the potential targets of Shenfu injection against acute viral myocarditis in mice.

Acute viral myocarditis (AVMC) is typically caused by cardiotropic viral infection. There is a paucity of specific treatment options available with proven efficacy. Chinese patented pharmaceutical product Shenfu injection (SFI) has potent efficacy on treating AVMC in clinical practice. However, the molecular mechanism is still unknown. We employed cross-platform metabolomics combined with computational systems analysis, based on reversed-phase liquid chromatography-mass spectrometry (RPLC-MS), hydrophilic interaction liquid chromatography-mass spectrometry (HILIC-MS) and gas chromatography-mass spectrometry (GC-MS), to deciphering the targeted metabolic pathways of SFI against AVMC induced by coxsackievirus B3 (CVB3). Quantitative real-time PCR (qRT-PCR) technique was further applied to determining the expressions of the key genes associated with the SFI-targeted metabolic pathways. We have identified 48 significantly changed metabolites related to CVB3-induced AVMC, and SFI can significantly regulate the abnormalities of 33 metabolites and 9 relevant enzymes. Combined metabolic pathway enrichment and topology analyses revealed that the mechanisms of SFI against CVB3-induced AVMC may be attributed to modulating the disordered homeostasis of sphingolipid metabolism, glycerophospholipid metabolism, arachidonic acid metabolism, tryptophan metabolism, and TCA cycle. It provides new experimental information on the pathogenesis of AVMC, unravels the potential targeted metabolic pathways of SFI against AVMC on the whole metabolic network and highlights the importance of metabolomics combined with computational systems analysis as a potential tool for deciphering drug-targeted metabolic pathways.

Pharmacometabolomics identifies dodecanamide and leukotriene B4 dimethylamide as a predictor of chemosensitivity for patients with acute myeloid leukemia treated with cytarabine and anthracycline.

Clinical responses to standard cytarabine plus anthracycline regimen in acute myeloid leukemia (AML) are heterogeneous and there is an unmet need for biological predictors of response to this regimen. Here, we applied a pharmacometabolomics approach to identify potential biomarkers associated with response to this regimen in AML patients. Based on clinical response the enrolled 82 patients were subdivided into two groups: complete remission(CR) responders (n=42) and non-responders (n=40). Metabolic profiles of pre-treatment serum from patients were analyzed by ultra-high performance liquid chromatography coupled with mass spectrometry and the metabolic differences between the two groups were investigated by multivariate statistical analysis. A metabolite panel containing dodecanamide and leukotriene B4 dimethylamide (LTB4-DMA) had the power capacity to differentiate the two groups of patients, yielding an area under the receiver operating characteristic of 0.945 (85.2% sensitivity and 88.9% specificity) in the training set and 0.944(84.6% sensitivity and 80.0% specificity) in the test set. The patients with high levels of LTB4-DMA and low amounts of dodecanamide had good sensitivity to chemotherapeutic agents. The possible reasons were that dodecanamide was produced by leukemic cells as a lipolytic factor to fuel their growth with a potential role in drug resistance and LTB4-DMA was a potent leukotriene B4 antagonist that could be applicable in the treatment of AML. These preliminary results demonstrates the feasibility of relating chemotherapy responses with pre-treatment metabolic profiles of AML patients, and pharmacometabolomics may be a useful tool to select patients that are more likely to benefit from cytarabine plus anthracycline chemotherapy.

Three serum metabolite signatures for diagnosing low-grade and high-grade bladder cancer.

To address the shortcomings of cystoscopy and urine cytology for detecting and grading bladder cancer (BC), ultrahigh performance liquid chromatography (UHPLC) coupled with Q-TOF mass spectrometry in conjunction with univariate and multivariate statistical analyses was employed as an alternative method for the diagnosis of BC. A series of differential serum metabolites were further identified for low-grade(LG) and high-grade(HG) BC patients, suggesting metabolic dysfunction in malignant proliferation, immune escape, differentiation, apoptosis and invasion of cancer cells in BC patients. In total, three serum metabolites including inosine, acetyl-N-formyl-5-methoxykynurenamine and PS(O-18:0/0:0) were selected by binary logistic regression analysis, and receiver operating characteristic (ROC) test based on their combined use for HG BC showed that the area under the curve (AUC) was 0.961 in the discovery set and 0.950 in the validation set when compared to LG BC. Likewise, this composite biomarker panel can also differentiate LG BC from healthy controls with the AUC of 0.993 and 0.991 in the discovery and validation set, respectively. This finding suggested that this composite serum metabolite signature was a promising and less invasive classifier for probing and grading BC, which deserved to be further investigated in larger samples.

Anti-tumor effects of a recombinant anti-prostate specific membrane antigen immunotoxin against prostate cancer cells.

BACKGROUND: To evaluate anti-prostate cancer effects of a chimeric tumor-targeted killer protein. METHODS: We established a novel fusion gene, immunocasp-3, composed of NH2-terminal leader sequence fused with an anti-prostate-specific membrane antigen (PSMA) antibody (J591), the furin cleavage sequences of diphtheria toxin (Fdt), and the reverse coding sequences of the large and small subunits of caspase-3 (revcaspase-3). The expressing level of the immunocasp-3 gene was evaluated by using the reverse transcription-PCR (RT-PCR) and western blot analysis. Cell viability assay and cytotoxicity assay were used to evaluate its anti-tumor effects in vitro. Apoptosis was confirmed by electron microscopy and Annexin V-FITC staining. The antitumor effects of immunocasp-3 were assessed in nude mice xenograft models containing PSMA-overexpressing LNCaP cells. RESULTS: This study shows that the immunocasp-3 proteins selectively recognized and induced apoptotic death in PSMA-overexpressing LNCaP cells in vitro, where apoptotic cells were present in 15.3% of the cells transfected with the immunocasp-3 expression vector at 48 h after the transfection, in contrast to 5.5% in the control cells. Moreover, LNCaP cells were significantly killed under the condition of the co-culture of the immunocasp-3-secreting Jurkat cells and more than 50% of the LNCaP cells died when the two cell lines were co-cultured within 5 days. In addition, The expression of immunocasp-3 also significantly suppressed tumor growth and greatly prolonged the animal survival rate in vivo. CONCLUSION: A novel fusion gene, immunocasp-3, may represent a viable approach to treating PSMA-positive prostate cancer.

Potential of serum metabolites for diagnosing post-stroke cognitive impairment.

Cognitive impairment commonly accompanies clinical syndromes associated with stroke. The identification of laboratory markers of post-stroke cognitive impairment (PSCI) may help detect patients at increased risk of cognitive deterioration and determine the appropriate treatment regimes. A non-targeted metabolomics approach based on ultra-high performance liquid chromatography coupled with Q-TOF mass spectrometry was applied to study PSCI. The stroke patients were significantly distinguishable from the healthy subjects. Stroke patients could be well-stratified based on cognitive impairment. Several differential serum metabolites were further identified for post-stroke non-cognitive impairment (PSNCI) and PSCI patients, suggesting metabolic dysfunction in inflammation, neurotoxicity, bioenergetic homeostasis, oxidative stress, and apoptosis. In total, three serum metabolites (glutamine, kynurenine, and LysoPC(18:2)) were identified as candidate diagnostic biomarkers for PSCI, and their combined use yielded good diagnostic capacity for PSCI by receiver operating characteristic curves. The present metabolomics study provided a novel strategy for stratifying stroke patients with cognitive impairment using serum-based metabolite markers, which could be of great importance in understanding the pathological mechanisms and determining the appropriate treatment regimes of PSCI patients.

Three plasma metabolite signatures for diagnosing high altitude pulmonary edema.

High-altitude pulmonary edema (HAPE) is a potentially fatal condition, occurring at altitudes greater than 3,000 m and affecting rapidly ascending, non-acclimatized healthy individuals. However, the lack of biomarkers for this disease still constitutes a bottleneck in the clinical diagnosis. Here, ultra-high performance liquid chromatography coupled with Q-TOF mass spectrometry was applied to study plasma metabolite profiling from 57 HAPE and 57 control subjects. 14 differential plasma metabolites responsible for the discrimination between the two groups from discovery set (35 HAPE subjects and 35 healthy controls) were identified. Furthermore, 3 of the 14 metabolites (C8-ceramide, sphingosine and glutamine) were selected as candidate diagnostic biomarkers for HAPE using metabolic pathway impact analysis. The feasibility of using the combination of these three biomarkers for HAPE was evaluated, where the area under the receiver operating characteristic curve (AUC) was 0.981 and 0.942 in the discovery set and the validation set (22 HAPE subjects and 22 healthy controls), respectively. Taken together, these results suggested that this composite plasma metabolite signature may be used in HAPE diagnosis, especially after further investigation and verification with larger samples.

Characterization of Compounds in Psoralea corylifolia Using High-Performance Liquid Chromatography Diode Array Detection, Time-of-Flight Mass Spectrometry and Quadrupole Ion Trap Mass Spectrometry.

High-performance liquid chromatography with diode array detection (HPLC-DAD), time-of-flight mass spectrometry (HPLC-TOFMS) and quadrupole ion trap mass spectrometry (HPLC-QITMS) were used for separation and identification of multi-components in Psoralea corylifolia. Benefiting from combining the accurate mass measurement of HPLC-TOFMS to generate elemental compositions, the complementary multilevel structural information provided by HPLC-QITMS and the characteristic UV spectra obtained from HPLC-DAD, 24 components in P. corylifolia were identified. The five groups of isomers were differentiated based on the fragmentation behaviors in QITMS and UV spectra. It can be concluded that an effective method based on the combination of HPLC-DAD, HPLC-TOFMS and HPLC-QITMS for identification of chemical components in P. corylifolia was established. The results provide essential data for further pharmacological and clinical studies of P. corylifolia and facilitate the rapid quality control of the crude drug.

Lipidomic profiling reveals significant alterations in lipid biochemistry in hypothyroid rat cerebellum and the therapeutic effects of Sini decoction.

Hypothyroidism is known to be closely associated with lipid metabolism. Although our previous serum and urine metabonomics studies have provided some clues about the molecular mechanism of hypothyroidism at the metabolic level, the precise mechanism underlying the pathogenesis of hypothyroidism remains elusive, especially from the aspect of lipid metabolism. In the present study, we applied an ultra high performance liquid chromatography/time-of-flight mass spectrometry (UHPLC/TOF-MS)-based lipidomics method to analyze the global lipid profiles of hypothyroidism in rat cerebellum. Using unsupervised analysis and multivariate statistical analysis, we separated the Sham and hypothyroid groups clearly and screened out 23 potential lipid biomarkers related to hypothyroidism that were primarily involved in sphingolipid metabolism, glycerophospholipid metabolism and ß-oxidation of fatty acid. Subsequently, we conducted computational analysis to build and simulate the lipid network of hypothyroidism, knowing that it would be useful to elucidate the pathological mechanism of hypothyroidism. Based on the selected 23 lipid biomarkers, we systematically evaluated the therapeutic effects of Sini decoction (SND) and the positive drug T4. The results showed that both SND and T4 can to some extent convert the pathological status of hypothyroidism through different pathways. Overall, this investigation illustrates that lipidomic profiling approach is powerful in giving a complementary view to the pathophysiology of hypothyroidism and offers a valuable tool for systematic study of the therapeutic effects of SND on hypothyroidism at lipid level.

Investigation of the therapeutic effectiveness of active components in Sini decoction by a comprehensive GC/LC-MS based metabolomics and network pharmacology approaches.

As a classical formula, Sini decoction (SND) has been fully proved to be clinically effective in treating doxorubicin (DOX)-induced cardiomyopathy. Current chemomics and pharmacology proved that the total alkaloids (TA), total gingerols (TG), total flavones and total saponins (TFS) are the major active ingredients of Aconitum carmichaelii, Zingiber officinale and Glycyrrhiza uralensis in SND respectively. Our animal experiments in this study demonstrated that the above active ingredients (TAGFS) were more effective than formulas formed by any one or two of the three individual components and nearly the same as SND. However, very little is known about the action mechanisms of TAGFS. Thus, this study aimed to use for the first time the combination of GC/LC-MS based metabolomics and network pharmacology for solving this problem. By metabolomics, it was found that TAGFS worked by regulating six primary pathways. Then, network pharmacology was applied to search for specific targets. 17 potential cardiovascular related targets were found through molecular docking, 11 of which were identified by references, which demonstrated the therapeutic effectiveness of TAGFS using network pharmacology. Among these targets, four targets, including phosphoinositide 3-kinase gamma, insulin receptor, ornithine aminotransferase and glucokinase, were involved in the TAGFS regulated pathways. Moreover, phosphoinositide 3-kinase gamma, insulin receptor and glucokinase were proved to be targets of active components in SND. In addition, our data indicated TA as the principal ingredient in the SND formula, whereas TG and TFS served as adjuvant ingredients. We therefore suggest that dissecting the mode of action of clinically effective formulae with the combination use of metabolomics and network pharmacology may be a good strategy.

A strategy for rapid analysis of xenobiotic metabolome of Sini decoction in vivo using ultra-performance liquid chromatography-electrospray ionization quadrupole-time-of-flight mass spectrometry combined with pattern recognition approach.

Xenobiotic metabolome identificatioqn of Chinese herbal prescription in biological systems is a very challenging task. In the present work, a reliable strategy based on the combination of ultra-performance liquid chromatography-electrospray ionization quadrupole-time-of-flight mass spectrometry (UHPLC-ESI-Q-TOFMS) and pattern recognition approach such as principal component analysis (PCA) and partial least squared discriminant analysis (PLS-DA) was proposed to rapidly discover and analyze the xenobiotic metabolome from Sini decoction (SND). Using the S- and VIP-plots of PLS-DA, 96 and 112 interest ions from positive and negative ion datasets were extracted as SND metabolome in rat urine following oral administration of SND. Among them, 53 absorbed prototype components of SND and 49 metabolites were identified, which provided essential data for further studying the relationship between the chemical components and pharmacological activity of SND. Our results indicated that hydrolysis and demethylation were the major metabolic pathways of diterpenoid alkaloids, while glucuronidation, sulfation, hydrolysis, reduction, demethylation, and hydroxylation were the main metabolic pathways of flavonoids, and hydrolysis was the metabolic pathway of gingerol-related compounds. No saponin-related metabolites were detected.