RESUMO
Traditional Chinese medicine (TCM) has garnered significant scientific interest in healthcare but faces increased regulatory scrutiny due to concerns about uncontrolled usage. This study focuses on characterizing Pogostemon cablin (PC) to mitigate potential misuse and identify chemotype differences. Leveraging untargeted metabolomics, we identified 222 distinctive features effectively differentiating PC from Agastache rugosa (AR), reducing misidentification risks. Pogostone and tilianin emerged as potential markers, leading to a high-performance liquid chromatography-diode array detection (HPLC-DAD) method development for PC and AR discrimination. Evaluation of PC chromatograms revealed notable profile and pogostone level differences among samples, suggesting chemotype associations. Untargeted metabolic profiling identified 78 features with significant differences, highlighting 7,3',4'-tri-O-methyleriodictyol as a potential discriminatory marker between PC chemotypes. The developed HPLC-DAD method quantified pogostone and 7,3',4'-tri-O-methyleriodictyol, effectively discriminating PC chemotypes. This platform differentiates PC and AR and distinguishes chemical types within PC, like pogostone-type and patchoulol-type. Applied to local TCM stores, it ensures PC authenticity. This approach addresses TCM control concerns, enhancing understanding and application of herbal medicine by providing insights into PC chemical composition and discrimination.
Assuntos
Medicamentos de Ervas Chinesas , Espectrometria de Massas , Pogostemon , Pogostemon/química , Cromatografia Líquida de Alta Pressão/métodos , Medicamentos de Ervas Chinesas/análise , Medicamentos de Ervas Chinesas/química , Espectrometria de Massas/métodos , Medicina Tradicional Chinesa , Óleos VoláteisRESUMO
Single cell analysis strives to probe molecular heterogeneity in morphologically similar cell populations through quantitative or qualitative measurements of genetic, proteomic, or metabolic products. Here, we applied mass analysis of single neurons to investigate cell-cell signaling peptides. The multiplicity of endogenous cell-cell signaling peptides is a common source of chemical diversity among cell populations. Certain peptides can undergo post-translational isomerization of select residues, which has important physiological consequences. The limited number of single cell analysis techniques that are sensitive to peptide stereochemistry make it challenging to study isomerization at the individual cell level. We performed capillary electrophoresis (CE) with mass spectrometry (MS) detection to characterize the peptide content of single cells. Using complementary trapped ion mobility spectrometry (TIMS) separations, we measured the stereochemical configurations of three neuropeptide gene products derived from the pleurin precursor in individual neurons (N = 3) isolated from the central nervous system of Aplysia californica. An analysis of the resultant mobility profiles indicated >98% of the detectable pleurin-derived peptides exist as the nonisomerized, all-l forms in individual neuron cell bodies. However, we observed 44% of the Plrn2 peptide from the pleurin precursor was present as the isomerized, d-residue-containing form in the nerve tissue. These findings demonstrate an unusual distribution of isomerized peptides in A. californica and establish CE-TIMS MS as a powerful analytical tool for investigating peptide stereochemistry at the single cell level.
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Espectrometria de Mobilidade Iônica , Proteômica , Eletroforese Capilar , Espectrometria de Massas , PeptídeosRESUMO
Nonvitamin K antagonist oral anticoagulants (NOACs) have emerged as the preferred choice for the treatment of atrial fibrillation (AF). The establishment of a therapeutic range to minimize bleeding and thrombosis is important for personalized treatment of NOACs. The importance of dried blood spots (DBSs) has increased in medical care. An efficient and effective DBS analytical method could facilitate the concentration management of NOACs. The postcolumn infused internal standard (PCI-IS) method was applied to estimate spot volume and quantify dabigatran, rivaroxaban, and apixaban concentrations on DBS cards. The extraction solvent contented 0.1% formic acid and 70% ACN with a successive extraction procedure. Paired DBS and plasma samples from patients undergoing NOAC therapy (n = 269) were used to calculate conversion factors. [13C6]-Rivaroxaban was selected as the PCI-IS. The quantification accuracy for the three NOACs was within 88.9-104.3%. The RSDs of the repeatability and intermediate precision were below 10%. The obtained conversion factors of DBS to plasma concentrations of dabigatran, apixaban, and rivaroxaban were 1.81, 1.59, and 1.31, respectively. Bland-Altman analysis showed that the % differences between predicted and measured plasma concentrations were within a bias of ±20%. The result showed that PCI-IS was an accurate and efficient LC-MS/MS method to simultaneously estimate blood volume and NOAC concentrations on DBS cards. The stability results revealed that the DBS sampling strategy could improve compound stability. The developed method offers a new strategy for the therapeutic drug monitoring of NOACs and may improve the safe use of these drugs.
Assuntos
Anticoagulantes/análise , Dabigatrana/análise , Teste em Amostras de Sangue Seco , Pirazóis/análise , Piridonas/análise , Rivaroxabana/análise , Administração Oral , Anticoagulantes/administração & dosagem , Anticoagulantes/farmacologia , Volume Sanguíneo , Cromatografia Líquida , Dabigatrana/administração & dosagem , Dabigatrana/farmacologia , Humanos , Pirazóis/administração & dosagem , Pirazóis/farmacologia , Piridonas/administração & dosagem , Piridonas/farmacologia , Rivaroxabana/administração & dosagem , Rivaroxabana/farmacologia , Espectrometria de Massas em Tandem , Vitamina K/antagonistas & inibidoresRESUMO
RATIONALE: Breast cancer is one of the most common cancers among women and its associated mortality is on the rise. Metabolomics is a potential strategy for breast cancer detection. The post-column infused internal standard (PCI-IS)-assisted liquid chromatography/tandem mass spectrometry (LC/MS/MS) method has been demonstrated as an effective strategy for quantitative metabolomics. In this study, we evaluated the performance of targeted metabolomics with the PCI-IS quantification method to identify women with breast cancer. METHODS: We used metabolite profiling to identify 17 dysregulated metabolites in breast cancer patients. Two LC/MS/MS methods in combination with the PCI-IS strategy were developed to quantify these metabolites in plasma samples. Detection models were built through the analysis of plasma samples from 176 subjects consisting of healthy volunteers and breast cancer patients. RESULTS: Three isotope standards were selected as the PCI-ISs for the metabolites. The accuracy was within 82.8-114.16%, except for citric acid and lactic acid at high concentration levels. The repeatability and intermediate precision were all lower than 15% relative standard deviation. We have identified several metabolites that indicate the presence of breast cancer. The area under the receiver operating characteristics (AUROC) curve, sensitivity and specificity of the linear combinations of metabolite concentrations and age with the highest AUROC were 0.940 (0.889-0.992), 88.4% and 94.2% for pre-menopausal woman, respectively, and 0.828 (0.734-0.922), 73.5% and 85.1% for post-menopausal women, respectively. CONCLUSIONS: The targeted metabolomics with PCI-IS quantification method successfully established prediction models for breast cancer detection. Further study is essential to validate these proposed markers.
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Neoplasias da Mama/diagnóstico , Metaboloma , Metabolômica/métodos , Espectrometria de Massas em Tandem/métodos , Adulto , Idoso , Idoso de 80 Anos ou mais , Neoplasias da Mama/metabolismo , Cromatografia Líquida de Alta Pressão/métodos , Feminino , Humanos , Pessoa de Meia-Idade , PrognósticoRESUMO
Dried blood spots (DBSs) have gained increasing attention recently with their growing importance in precision medicine. DBS-based metabolomics analysis provides a powerful tool for investigating new biomarkers. Until now, very few studies have discussed measures for improving analytical accuracy with the consideration of the special characteristics of DBSs. The present study proposed a postcolumn infused-internal standard (PCI-IS) assisted strategy to improve data quality for DBS-based metabolomics studies. An efficient sample preparation protocol with 80% acetonitrile as the extraction solvent was first established to improve the metabolite recovery. The PCI-IS assisted liquid chromatography-electrospray ionization mass spectrometry (LC-ESI-MS) method was used to simultaneously estimate the blood volume and correct the signal change caused by ion source contamination and the matrix effect to evaluate the spot volume effect and hematocrit (Hct) variation effect on target metabolites. Phenylalanine-d8 was selected as the single PCI-IS to correct the matrix effect. For calibration of errors caused by the blood volume difference, 75% of the test metabolites showed good correlation (R2 ≥ 0.9) between the spot volume and the signal intensity after PCI-IS correction compared to less than 50% metabolites with good correlation before calibration. The spot volume was further calibrated by the same PCI-IS. Investigation of the Hct variation effect on target metabolites revealed that it affected the concentrations of metabolites in the DBS samples depending on their abundance in the red blood cell (RBC) or plasma; it is essential to preinvestigate the distribution of metabolites in blood to minimize the comparison bias in metabolomics studies. Finally, the PCI-IS assisted method was applied to study acetaminophen-induced liver toxicity. The results indicated that the proposed PCI-IS strategy could effectively remove analytical errors and improve the data quality, which would make the DBS-based metabolomics more feasible in real-world applications.
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Teste em Amostras de Sangue Seco , Metabolômica , Biomarcadores/sangue , Biomarcadores/metabolismo , Cromatografia Líquida/normas , Teste em Amostras de Sangue Seco/normas , Humanos , Espectrometria de Massas por Ionização por Electrospray/normasRESUMO
Quantitative metabolomics has become much more important in clinical research in recent years. Individual differences in matrix effects (MEs) and the injection order effect are two major factors that reduce the quantification accuracy in liquid chromatography-electrospray ionization-mass spectrometry-based (LC-ESI-MS) metabolomics studies. This study proposed a postcolumn infused-internal standard (PCI-IS) combined with a matrix normalization factor (MNF) strategy to improve the analytical accuracy of quantitative metabolomics. The PCI-IS combined with the MNF method was applied for a targeted metabolomics study of amino acids (AAs). D8-Phenylalanine was used as the PCI-IS, and it was postcolumn-infused into the ESI interface for calibration purposes. The MNF was used to bridge the AA response in a standard solution with the plasma samples. The MEs caused signal changes that were corrected by dividing the AA signal intensities by the PCI-IS intensities after adjustment with the MNF. After the method validation, we evaluated the method applicability for breast cancer research using 100 plasma samples. The quantification results revealed that the 11 tested AAs exhibit an accuracy between 88.2 and 110.7%. The principal component analysis score plot revealed that the injection order effect can be successfully removed, and most of the within-group variation of the tested AAs decreased after the PCI-IS correction. Finally, targeted metabolomics studies on the AAs showed that tryptophan was expressed more in malignant patients than in the benign group. We anticipate that a similar approach can be applied to other endogenous metabolites to facilitate quantitative metabolomics studies.
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Neoplasias da Mama/sangue , Cromatografia Líquida/normas , Metabolômica/normas , Espectrometria de Massas por Ionização por Electrospray/normas , Neoplasias da Mama/patologia , Calibragem , Cromatografia Líquida/métodos , Feminino , Análise de Injeção de Fluxo/instrumentação , Humanos , Metabolômica/métodos , Variações Dependentes do Observador , Fenilalanina/sangue , Análise de Componente Principal , Padrões de Referência , Reprodutibilidade dos Testes , Espectrometria de Massas por Ionização por Electrospray/métodos , Triptofano/sangueRESUMO
Glutamine, glutamate and glutathione are key modulators of excessive oxidative stress in tumor cells. In this study, we developed a rapid and accurate HILIC-MS/MS method to simultaneously determine concentrations of cellular glutamine, glutamate and glutathione. A bared silica HILIC column was employed to analyze these polar metabolites. The LC-MS parameters were optimized to achieve high sensitivity and selectivity. The analysis can be completed within 4 min under optimal conditions. The method was validated in terms of accuracy, precision, and linearity. Intra-day (n = 9) precision was within 2.68-6.24% among QCs. Inter-day precision (n = 3) was below 12.4%. The method accuracy was evaluated by the recovery test, and the accuracy for three analytes were between 91.6 and 110%. The developed method was applied to study antioxidant function of GLS2 in non-small cell lung cancer cells. Changes in concentrations of glutamine, glutamate and glutathione revealed that the overexpression of GLS2 could effectively decrease oxidative stress. In summary, this study developed a rapid HILIC-MS/MS method for quantification of GLS2-related metabolites that could facilitate elucidation of the role of GLS2 in tumor development.
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Cromatografia Líquida de Alta Pressão , Ácido Glutâmico/análise , Glutaminase/metabolismo , Glutamina/análise , Glutationa/análise , Espectrometria de Massas em Tandem , Linhagem Celular Tumoral , Ácido Glutâmico/isolamento & purificação , Glutamina/isolamento & purificação , Glutationa/isolamento & purificação , Humanos , Interações Hidrofóbicas e Hidrofílicas , Limite de DetecçãoRESUMO
Dried blood spots (DBSs) have had a long history in disease screening in newborns but have gained attention in recent years in the medical care of adults because of the growing importance of personalized medicine. DBSs have several advantages, such as easy transportation, cost-effectiveness, and minimally invasive biological sampling. There are two strategies to process DBS samples. One method takes a fixed diameter of subsample, and another requires the extraction of the whole spot. The whole-spot extraction method is less affected by hematocrit-caused errors, but it requires calibration of the blood volume. We propose a novel strategy using a postcolumn infused-internal standard (PCI-IS) method with liquid chromatography-electrospray ionization mass spectrometry (LC-ESI-MS) for estimating and correcting blood volume variations on the DBS cards. By using PCI-IS to measure the extent of ion suppression in the first ion suppression zone in the chromatogram, the blood volume on the DBS cards can be calculated and further calibrated. We used reference blood samples with different volumes (5 to 25 µL) to construct a calibration curve between the blood volume and the extent of ion suppression. The calibration curve was used to estimate the blood volume on the DBS cards collected from 6 volunteers, with 5 designated volumes from each volunteer. The estimation accuracy of the PCI-IS method was between 74.5% and 120.3%. The validated PCI-IS method was used to estimate and calibrate blood volume variation and also to quantify the voriconazole concentration for 26 patients undergoing voriconazole therapy. A high correlation was found for the quantification results between the DBS samples and the conventionally used plasma samples (r = 0.97). The PCI-IS method was demonstrated to be a simple and accurate method for estimating and calibrating the blood volume variation on DBS cards, which greatly facilitates using the DBS method for therapeutic drug monitoring (TDM) for improving the efficacy and safety of drug therapy.
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Antifúngicos/sangue , Teste em Amostras de Sangue Seco/métodos , Espectrometria de Massas por Ionização por Electrospray/métodos , Voriconazol/sangue , Calibragem/normas , Cromatografia Líquida de Alta Pressão/métodos , Cromatografia Líquida de Alta Pressão/normas , Teste em Amostras de Sangue Seco/normas , Monitoramento de Medicamentos/métodos , Monitoramento de Medicamentos/normas , Humanos , Padrões de Referência , Tamanho da Amostra , Espectrometria de Massas por Ionização por Electrospray/normasRESUMO
Studies of the cell metabolome greatly improve our understanding of cell biology. Currently, most cellular metabolomics studies control only cell numbers or protein content without adjusting the total metabolite concentration, mainly because of the lack of an effective concentration normalization method for cell metabolites. This study proposed a matrix-induced ion suppression (MIIS) method to measure the total amount of cellular metabolites by utilizing flow injection analysis coupled with electrospray ionization mass spectrometry (FIA-ESI-MS).We used series dilutions of HL-60 cell extracts to establish the relationship between cellular metabolite concentration and the degree of ion suppression of the ion suppression indicator, and a good correlation was obtained between 2- and 12-fold dilutions of cell extracts (R(2) = 0.999). Two lung cancer cells, CL1-0 and CL1-5, were selected as the model cell lines to evaluate the efficacy of the MIIS method and the importance of metabolite concentration normalization. Through MIIS analysis, CL1-0 cells were found to contain metabolites at a concentration 2.1 times higher than in CL1-5, and the metastatic properties of CL1-5 could only be observed after 2.1-fold dilution of CL1-0 before metabolomic analysis. Our results demonstrated that the MIIS method is an effective approach for metabolite concentration normalization and that controlling metabolite concentrations can improve data integrity in cellular metabolomics studies.
Assuntos
Análise de Injeção de Fluxo/métodos , Metaboloma , Metabolômica/métodos , Espectrometria de Massas por Ionização por Electrospray/métodos , Adenocarcinoma/metabolismo , Linhagem Celular Tumoral , Humanos , Íons/química , Pulmão/metabolismo , Neoplasias Pulmonares/metabolismoRESUMO
BACKGROUND: Elevated vascular endothelial growth factor (VEGF) was associated with poor prognosis in leptomeningeal carcinomatosis and anti-angiogenic therapy was found to prolong the survival of mice in preclinical studies. This prospective pilot study investigated the efficacy of anti-VEGF therapy plus chemotherapy in patients with leptomeningeal carcinomatosis originating from breast cancer. METHODS: Eligible patients were scheduled to receive bevacizumab combined with etoposide and cisplatin (BEEP) every 3 weeks for a maximum of 6 cycles or until unacceptable toxicity. The primary objective was the central nervous system (CNS)-specific response rate, which was defined as disappearance of cancer cells in the cerebrospinal fluid (CSF) and an improved or stabilized neurologic status. The impact of VEGF inhibition on etoposide penetration into the CSF was analyzed. RESULTS: Eight patients were enrolled. The CNS-specific response rate was 60% in 5 evaluable patients. According to intent-to-treat analysis, the median overall survival of the eight patients was 4.7 months (95% confidence interval, CI, 0.3-9.0) and the neurologic progression-free survival was 4.7 months (95% CI 0-10.5). The most common grade 3/4 adverse events were neutropenia (23.1%), leukopenia (23.1%), and hyponatremia (23.1%). The etoposide concentrations in the CSF were much lower than those in plasma, and bevacizumab did not increase etoposide delivery to the CSF. CONCLUSIONS: BEEP exhibited promising efficacy in breast cancer patients with leptomeningeal carcinomatosis. Additional studies are warranted to verify its efficacy and clarify the role of anti-angiogenic therapy in this disease. TRIAL REGISTRATION: ClinicalTrials.gov identifying number NCT01281696 .
Assuntos
Bevacizumab/administração & dosagem , Neoplasias da Mama/tratamento farmacológico , Cisplatino/administração & dosagem , Etoposídeo/administração & dosagem , Carcinomatose Meníngea/tratamento farmacológico , Adulto , Idoso , Animais , Protocolos de Quimioterapia Combinada Antineoplásica/administração & dosagem , Bevacizumab/líquido cefalorraquidiano , Neoplasias da Mama/líquido cefalorraquidiano , Neoplasias da Mama/complicações , Neoplasias da Mama/patologia , Cisplatino/líquido cefalorraquidiano , Etoposídeo/líquido cefalorraquidiano , Feminino , Humanos , Carcinomatose Meníngea/líquido cefalorraquidiano , Carcinomatose Meníngea/complicações , Carcinomatose Meníngea/patologia , Camundongos , Pessoa de Meia-Idade , Estadiamento de NeoplasiasRESUMO
The emergence and spread of multidrug-resistant bacteria underscore the critical need for novel antibacterial interventions. In our screening of 12 synthesized thienobenzodiazepines, pyridobenzodiazepines, and dibenzodiazepines, we successfully identified a small molecule compound SW33. Notably, SW33 demonstrated potent inhibitory activity against intracellular multidrug-resistant and fluoroquinolone-resistant strains of S. typhimurium in both macrophages and epithelial cells. Furthermore, SW33 was also effective against intramacrophagic Salmonella typhi, Yersinia enterocolitica, and Listeria monocytogenes. These significant findings suggest that SW33 possesses broad-spectrum activity against intracellular bacteria.
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Changes in diet culture and modern lifestyle contributed to a higher incidence of gastrointestinal-related diseases, including gastritis, implicated in the pathogenesis of gastric cancer. This observation raised concerns regarding exposure to di(2-ethylhexyl) phthalate (DEHP), which is linked to adverse health effects, including reproductive and developmental problems, inflammatory response, and invasive adenocarcinoma. Research on the direct link between DEHP and gastric cancer is ongoing, and further studies are required to establish a conclusive association. In our study, extremely low concentrations of DEHP exerted significant effects on cell migration by promoting the epithelial-mesenchymal transition in gastric cancer cells. This effect was mediated by the modulation of the PI3K/AKT/mTOR and Smad2 signaling pathways. To address the DEHP challenges, our initial design of TPGS-conjugated fucoidan, delivered via pH-responsive nanoparticles, successfully demonstrated binding to the P-selectin protein. This achievement has not only enhanced the antigastric tumor efficacy but has also led to a significant reduction in the expression of malignant proteins associated with the condition. These findings underscore the promising clinical therapeutic potential of our approach.
Assuntos
Dietilexilftalato , Ácidos Ftálicos , Neoplasias Gástricas , Humanos , Plastificantes , Fosfatidilinositol 3-QuinasesRESUMO
BACKGROUND: Antibodyâdrug conjugates (ADCs) are innovative biopharmaceutics consisting of a monoclonal antibody, linkers, and cytotoxic payloads. Monitoring circulating payload concentrations has the potential to identify ADC toxicity; however, accurate quantification faces challenges, including low plasma concentrations, severe matrix effects, and the absence of stable isotope-labeled internal standards (SIL-IS) for payloads and their derivatives. Previous studies used structural analogs as internal standards, but different retention times between structural analogs and target analytes may hinder effective matrix correction. Therefore, a more flexible approach is required for precise payload quantification. RESULTS: We developed an LCâMS/MS method incorporating a postcolumn-infused internal standard (PCI-IS) strategy for quantifying payloads and their derivatives of trastuzumab emtansine, trastuzumab deruxtecan, and sacituzumab govitecan, including DM1, MCC-DM1, DXd, SN-38, and SN-38G. Structural analogs (maytansine, Lys-MCC-DM1, and exatecan) were selected as PCI-IS candidates, and their accuracy performance was evaluated based on the percentage of samples within 80%-120% quantification accuracy. Compared to the approach without PCI-IS correction, exatecan enhanced the accuracy performance from 30-40%-100% for SN-38 and DXd, while maytansine and Lys-MCC-DM1 showed comparable accuracy for DM1 and MCC-DM1. This validated PCI-IS analytical method showed superior normalization of matrix effect in all analytes compared to the conventional internal standard approach. The clinical application of this approach showed pronounced differences in DXd and SN-38 concentrations before and after PCI-IS correction. Moreover, only DXd concentrations after PCI-IS correction were significantly higher in patients with thrombocytopenia (p = 0.037). SIGNIFICANCE: This approach effectively addressed the issue of unavailability of SIL-IS for novel ADC payloads and provided more accurate quantification, potentially yielding more robust statistical outcomes for understanding the exposure-toxicity relationship in ADCs. It is anticipated that this PCI-IS strategy may be extrapolated to quantify payloads and derivatives in diverse ADCs, thereby providing invaluable insights into drug toxicity and fortifying patient safety in ADC usage.
Assuntos
Imunoconjugados , Maitansina , Intervenção Coronária Percutânea , Humanos , Irinotecano , Cromatografia Líquida , Espectrometria de Massa com Cromatografia Líquida , Espectrometria de Massas em Tandem , Maitansina/uso terapêuticoRESUMO
This study developed CE and ultra-high-pressure LC (UHPLC) methods coupled with UV detectors to characterize the metabolomic profiles of different rhubarb species. The optimal CE conditions used a BGE with 15 mM sodium tetraborate, 15 mM sodium dihydrogen phosphate monohydrate, 30 mM sodium deoxycholate, and 30% ACN v/v at pH 8.3. The optimal UHPLC conditions used a mobile phase composed of 0.05% phosphate buffer and ACN with gradient elution. The gradient profile increased linearly from 10 to 21% ACN within the first 25 min, then increased to 33% ACN for the next 10 min. It took another 5 min to reach the 65% ACN, then for the next 5 min, it stayed unchanged. Sixteen samples of Rheum officinale and Rheum tanguticum collected from various locations were analyzed by CE and UHPLC methods. The metabolite profiles of CE were aligned and baseline corrected before chemometric analysis. Metabolomic signatures of rhubarb species from CE and UHPLC were clustered using principle component analysis and distance-based redundancy analysis; the clusters were not only able to discriminate different species but also different cultivation regions. Similarity measurements were performed by calculating the correlation coefficient of each sample with the authentic samples. Hybrid rhizome was clearly identified through similarity measurement of UHPLC metabolite profile and later confirmed by gene sequencing. The present study demonstrated that CE and UHPLC are efficient and effective tools to identify and authenticate herbs even coupled with simple detectors.
Assuntos
Eletroforese Capilar/métodos , Metaboloma , Metabolômica/métodos , Rheum/metabolismo , Cromatografia Líquida de Alta Pressão/métodos , Análise por Conglomerados , Análise de Componente Principal , Rheum/químicaRESUMO
Previously, we reported a novel browning reaction of amino acids and proteins in an organic solvent mixture composed of dimethyl sulfoxide (DMSO) and acetone. The reaction proceeds under surprisingly mild conditions, requiring no heating or additional reactants or catalysts. This present study aimed to investigate the chemical reactivity of the triad reaction system of l-tryptophan/aectone/DMSO. We demonstrated that, in DMSO, l-tryptophan initially catalyzed the self-aldol condensation of acetone, resulting in the formation of mesityl oxide (MO). Furthermore, we showed that the three-component system evolved into a diverse chemical space, producing various indole derivatives with aldehyde or ketone functional groups that exhibited self-assembling and nanoparticle-forming capabilities. We highlight the potential applications in nanomaterial synthesis.
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Simultaneous extraction of various types of biomolecule from a single sample can be beneficial for multiomics studies of unique specimens. An efficient and convenient sample preparation approach must be developed that can comprehensively isolate and extract biomolecules from one sample. TRIzol reagent is widely used in biological studies for DNA, RNA, and protein isolation. This study evaluated the feasibility of using TRIzol reagent for the simultaneous isolation of not only DNA, RNA, and proteins but also metabolites and lipids from a single sample. Through the comparison of known metabolites and lipids obtained using the conventional methanol (MeOH) and methyl-tert-butyl ether (MTBE) extraction methods, we determined the presence of metabolites and lipids in the supernatant during TRIzol sequential isolation. Finally, we performed untargeted metabolomics and lipidomics to examine metabolite and lipid alterations associated with the jhp0417 mutation in Helicobacter pylori by using the TRIzol sequential isolation protocol and MeOH and MTBE extraction methods. Metabolites and lipids with significant differences isolated using the TRIzol sequential isolation protocol were consistent with those obtained using the conventional MeOH and MTBE extraction methods. These results indicated that TRIzol reagent can be used to simultaneously isolate metabolites and lipids from a single sample. Thus, TRIzol reagent can be used in biological and clinical research, especially in multiomics studies.
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Multiômica , RNA , Indicadores e Reagentes , Proteínas , Metanol , LipídeosRESUMO
Metabolomics is an omics strategy to study the metabolite alteration in the biological system. Unbiased observation of the metabolite level is essential for targeted metabolite quantification and untargeted metabolic profiling. State-of-the-art instruments and versatile tools have been developed for accurate observation of metabolic alterations in various studies. Several analytical pitfalls, such as sample overloading and signal-saturation-induced bias, have been revealed and addressed. In this study, we proposed incomplete-metabolite-extraction-caused bias is also an important issue that results in biased observation when performing metabolomics. In the demonstration example, numerous metabolites exhibited no significant difference between extracted plasma samples with different plasma contents, which is attributed to incomplete-metabolite-extraction-caused bias and matrix effect. Matrix effect is a well-known factor that result in biased observation, it can be reduced by sample dilution and compensated by using stable isotope labelled internal standards. The detection of metabolite signals in the following consecutive extractions provided further evidence of incomplete metabolite extraction. The completeness of metabolite extraction is crucial for unbiased observation of metabolic profile changes. To address this issue, we optimized the extraction time and methanol volume to reduce the incomplete-metabolite-extraction-caused bias and evaluated the metabolite signals in consecutive extractions. Methanol extraction performed with a plasma-to-methanol ratio of 1:14 resulted in metabolite responses of less than 18.1 % in the second extractions observed by metabolomic profiling. Finally, the optimized sample preparation procedure and untargeted profiling platform were applied to detect metabolite alterations associated with patients with cerebrovascular diseases and several features with significant difference were successfully identified. This study revealed and evaluated the bias caused by incomplete metabolite extraction and matrix effect in the commonly used methanol extraction method for human plasma sample preparation for metabolomics. We anticipate the proposed metabolite extraction evaluation method could benefit more clinical and biological metabolomics studies.
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Metabolômica , Metanol , Humanos , Metaboloma , Metabolômica/métodos , Plasma , Manejo de EspécimesRESUMO
Recently, monoclonal antibody (mAb) therapy has gained increasing attention in the medical field due to its high specificity. Dried blood spots (DBSs) have been used in various clinical fields due to their unique characteristics, such as easy transportation, low invasiveness, and home sampling. However, hematocrit (HCT)-associated issues may lead to inaccurate quantification; moreover, the HCT value is required for converting the drug concentration from DBS to plasma. To simultaneously measure HCT levels and quantify mAb concentrations in DBS samples, this study used volumetrically applied 15 µL DBS, and combined protein G purification and ethanol precipitation approaches as the sample preparation method. Sixty-two clinical samples were used to investigate the HCT estimation ability by using hemoglobin (Hb) peptides. Four mAbs, bevacizumab, trastuzumab, nivolumab and tocilizumab, were selected to demonstrate our method, and pembrolizumab was used as the internal standard. The optimized method could measure four mAbs and Hb peptides simultaneously within 11 min. Moreover, a correlation study revealed that the correlation coefficient for the Hb peptides and the HCT value was larger than 0.9. The HCT estimation results revealed that for over 90% of the real DBS samples the HCT could be obtained within ±20% estimation error acceptance criteria. The method was validated in terms of accuracy and precision for the four mAbs. The developed method was further applied to simultaneously quantify mAb concentrations and estimate HCT values in six patient DBS samples to demonstrate its clinical applicability. It is believed that this newly developed method could facilitate various clinical studies and provide benefits for mAb therapies in clinical fields.
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Teste em Amostras de Sangue Seco , Espectrometria de Massas em Tandem , Anticorpos Monoclonais , Cromatografia Líquida , Hematócrito , Humanos , Reprodutibilidade dos TestesRESUMO
Untargeted metabolomic profiling provides the opportunity to comprehensively explore metabolites of interest. Herein, we investigated the metabolic pathways associated with Jhp0106, a glycosyltransferase enzyme in Helicobacter pylori. Through untargeted exometabolomic and metabolomic profiling, we identified 9 and 10 features with significant differences in the culture media and pellets of the wild-type (WT) J99 and jhp0106 mutant (Δjhp0106). After tentative identification, several phosphatidylethanolamines (PEs) were identified in the culture medium, the levels of which were significantly higher in WT J99 than in Δjhp0106. Moreover, the reduced lysophosphatidic acid absorption from the culture medium and the reduced intrinsic diacylglycerol levels observed in Δjhp0106 indicate the possibility of reduced PE synthesis in Δjhp0106. The results suggest an association of the PE synthesis pathway with flagellar formation in H. pylori. Further investigations should be conducted to confirm this finding and the roles of the PE synthesis pathway in flagellar formation. This study successfully demonstrates the feasibility of the proposed extraction procedure and untargeted exometabolomic and metabolomic profiling strategies for microbial metabolomics. They may also extend our understanding of metabolic pathways associated with flagellar formation in H. pylori.
RESUMO
Single-cell metabolomics provides information on the biochemical state of an individual cell and its relationship with the surrounding environment. Characterization of metabolic cellular heterogeneity is challenging, in part due to the small amounts of analytes and their wide dynamic concentration ranges within individual cells. CE-ESI-MS is well suited to single-cell assays because of its low sample-volume requirements and low detection limits. While the volume of a cell is in the picoliter range, after isolation, the typical volume of the lysed cell sample is on the order of a microliter; however, only nanoliters are injected into the CE system, with the volume mismatch limiting analytical performance. Here we developed an approach for the detection of intracellular metabolites from a single neuron using field amplified sample injection (FASI) CE-ESI-MS. Through the application of FASI, we achieved 100- to 300-fold detection limit enhancement compared to hydrodynamic injections. We further enhanced the analyte identification and quantification accuracy via introduction of two internal standards. As a result, the relative standard deviations of migration times were reduced to <5%, aiding identification. Finally, we successfully applied FASI CE-ESI-MS to the untargeted profiling of metabolites of Aplysia californica pleural sensory neurons with <50 µm diameter cell somata. As a result, twenty one neurotransmitters and metabolites have been quantified in these neurons.