UHPLC-MS/MS
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Multidimensional chromatography coupled to tandem mass spectrometry (MS/MS), including simple sample preparation with protein precipitation, anion conversion with ammonium hydroxide, and solid-phase extraction using mixed-mode anion exchange in a 96-well plate format, has been validated for rapid simultaneous analysis of human insulin and its six analogs (lispro, glulisine, glargine, degludec, detemir, and aspart) in human plasma. This method is critical for clinical diagnostics, forensic investigations, and anti-doping efforts due to the widespread use of these substances. In the present study, improved chromatographic resolution was achieved using a first-dimension trap-and-elute configuration with an XBridge C18 (2.1 × 20 mm, 3.5 μm) trap column combined with second dimension separation on a Cortecs Ultra-High-Performance Liquid Chromatography (UHPLC) C18+ (2.1 × 100 mm, 1.6 μm) analytical column implemented within a two-dimensional-LC-MS/MS system. The total chromatographic run time was 11 min. This setup increases both the resolution and sensitivity of the method. A mobile phase consisting of 0.8% formic acid (FA) in water and 0.7% FA in acetonitrile was used for gradient elution. Bovine insulin was used as the internal standard. MS detection was performed in positive electrospray ionization mode, and the ion suppression due to matrix effects was evaluated. Validation criteria included linearity, precision, accuracy, recovery, lower limit of quantitation, matrix effect, and stability tests with and without protease inhibitor cocktail under different conditions (short-term stability, long-term stability, and freeze-thaw stability). The concentration range for all insulins was 50-15 000 pg/mL, with limits of quantification below the therapeutic reference range for all analytes. Intra-run precision ranged from 1.1% to 5.7%, inter-run precision from 0.7% to 5.9%, and overall recovery from 96.9% to 114.3%. The validated method has been implemented successfully by the Department of Forensic Medicine at our hospital for the investigation of unexplained deaths.
Východiska: Hledání účinných biomarkerů pro včasnou diagnostiku ovariálního karcinomu (ovarian cancer – OC) patří k naléhavým úkolům moderní onkogynekologie. Metabolické profilování pomocí ultra vysokoúčinné kapalinové chromatografie a hmotnostní spektrometrie (ultraigh performance liquid chromatography and mass spectrometry – UHPLC-MS) poskytuje informace o souhrnu všech nízkomolekulárních metabolitů vzorku biologických tekutin pacienta, které odrážejí procesy probíhající v těle. Cílem studie bylo prozkoumat metabolomický profil krevní plazmy a moči pacientek se serózním ovariálním adenokarcinomem pomocí UHPLC-MS. Materiál a metody: K provedení metabolomické analýzy bylo odebráno 60 vzorků krevní plazmy a 60 vzorků moči pacientek s diagnózou serózního karcinomu vaječníků a 20 vzorků zdravých dobrovolníků. Chromatografická separace byla provedena na chromatografu Vanquish Flex UHPLC System (Thermo Scientific, Německo). Analýza hmotnostní spektrometrií byla provedena na Orbitrap Exploris 480 (Thermo Scientific, Německo) vybaveném elektrosprejovým ionizačním zdrojem. Bioinformatická analýza byla provedena pomocí Compound Discoverer Software (Thermo Fisher Scientific, USA), statistická analýza dat byla provedena v programovacím jazyce Python pomocí knihovny SciPy. Výsledky: Pomocí UHPLC-MS bylo v krevní plazmě identifikováno 1 049 metabolitů různých tříd. U pacientek s OC mělo 8 metabolitů významně nižší koncentraci (p < 0,01) ve srovnání se zdravými dárci, zatímco u 19 látek byly zjištěny vyšší hladiny (p < 0,01). Během metabolomického profilování vzorků moči bylo identifikováno 417 metabolitů: 12 látek mělo významně nižší koncentraci ve srovnání se zjevně zdravými jedinci a u 14 látek byly hladiny vyšší (p < 0,01). U pacientek se serózním adenokarcinomem vaječníků byla zjištěna významná změna v metabolomu krevní plazmy a moči, vyjádřená abnormálními koncentracemi lipidů a jejich derivátů, mastných kyselin a jejich derivátů, acylkarnitinů, fosfolipidů, aminokyselin a jejich derivátů, derivátů dusíkatých bází a steroidů. Mezi nejslibnější markery tohoto onemocnění přitom patří kynurenin, kyselina myristová, lysofosfatidylcholin a L-oktanoylkarnitin. Závěr: Odhalené změny v metabolomu se mohou stát základem pro zlepšení přístupů k diagnostice serózního ovariálního adenokarcinomu.
Background: The search for effective biomarkers for ovarian cancer (OC) early diagnosis is an urgent task of modern oncogynecology. Metabolic profiling by ultra-high performance liquid chromatography and mass spectrometry (UHPLC-MS) provides information on the totality of all low molecular weight metabolites of patient’s biological fluids sample, reflecting the processes occurring in the body. The aim of the study was to research blood plasma and urine metabolomic profile of patients with serous ovarian adenocarcinoma by UHPLC-MS. Material and methods: To perform metabolomic analysis, 60 blood plasma samples and 60 urine samples of patients diagnosed with serous ovarian carcinoma and 20 samples of apparently healthy volunteers were taken. Chromatographic separation was performed on a Vanquish Flex UHPLC System chromatograph (Thermo Scientific, Germany). Mass spectrometric analysis was performed on an Orbitrap Exploris 480 (Thermo Scientific, Germany) equipped with an electrospray ionization source. Bioinformatic analysis was performed using Compound Discoverer Software (Thermo Fisher Scientific, USA), statistical data analysis was performed in the Python programming language using the SciPy library. Results: Using UHPLC-MS, 1,049 metabolites of various classes were identified in blood plasma. In patients with OC, 8 metabolites had a significantly lower concentration (P < 0.01) compared with conditionally healthy donors, while the content of 19 compounds, on the contrary, increased (P < 0.01). During the metabolomic profiling of urine samples, 417 metabolites were identified: 12 compounds had a significantly lower concentration compared to apparently healthy individuals, the content of 14 compounds increased (P < 0.01). In patients with ovary serous adenocarcinoma, a significant change in the metabolome of blood plasma and urine was found, expressed in abnormal concentrations of lipids and their derivatives, fatty acids and their derivatives, acylcarnitines, phospholipids, amino acids and their derivatives, derivatives of nitrogenous bases and steroids. At the same time, kynurenine, myristic acid, lysophosphatidylcholine and L-octanoylcarnitine are the most promising markers of this disease. Conclusion: The revealed changes in the metabolome can become the basis for improving approaches to the diagnosis of serous ovarian adenocarcinoma.
BACKGROUND: Different types of analytical methods, with different characteristics, are applied in metabolomics and lipidomics research and include untargeted, targeted and semi-targeted methods. Ultra High Performance Liquid Chromatography-Mass Spectrometry is one of the most frequently applied measurement instruments in metabolomics because of its ability to detect a large number of water-soluble and lipid metabolites over a wide range of concentrations in short analysis times. Methods applied for the detection and quantification of metabolites differ and can either report a (normalised) peak area or an absolute concentration. AIM OF REVIEW: In this tutorial we aim to (1) define similarities and differences between different analytical approaches applied in metabolomics and (2) define how amounts or absolute concentrations of endogenous metabolites can be determined together with the advantages and limitations of each approach in relation to the accuracy and precision when concentrations are reported. KEY SCIENTIFIC CONCEPTS OF REVIEW: The pre-analysis knowledge of metabolites to be targeted, the requirement for (normalised) peak responses or absolute concentrations to be reported and the number of metabolites to be reported define whether an untargeted, targeted or semi-targeted method is applied. Fully untargeted methods can only provide (normalised) peak responses and fold changes which can be reported even when the structural identity of the metabolite is not known. Targeted methods, where the analytes are known prior to the analysis, can also report fold changes. Semi-targeted methods apply a mix of characteristics of both untargeted and targeted assays. For the reporting of absolute concentrations of metabolites, the analytes are not only predefined but optimized analytical methods should be developed and validated for each analyte so that the accuracy and precision of concentration data collected for biological samples can be reported as fit for purpose and be reviewed by the scientific community.
- MeSH
- hmotnostní spektrometrie * metody MeSH
- lidé MeSH
- metabolomika * metody MeSH
- vysokoúčinná kapalinová chromatografie metody MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
A multi-residue UHPLC-MS/MS analytical method, previously developed for monitoring 52 pharmaceuticals in drinking water, was used to analyse these pharmaceuticals in wastewater originating from healthcare facilities in the Czech Republic. Furthermore, the methodology was expanded to include the evaluation of the effectiveness of drug removal in Czech wastewater treatment plants (WWTPs). Of the 18 wastewater samples analysed by the validated UHPLC-MS/MS, each sample contained at least one quantifiable analyte. This study reveals the prevalence of several different drugs; mean concentrations of 702 μg L-1 of iomeprol, 48.8 μg L-1 of iopromide, 29.9 μg L-1 of gabapentin, 42.0 μg L-1 of caffeine and 82.5 μg L-1 of paracetamol were present. An analysis of 20 samples from ten WWTPs revealed different removal efficiencies for different analytes. Paracetamol was present in the inflow samples of all ten WWTPs and its removal efficiency was 100%. Analytes such as caffeine, ketoprofen, naproxen or atenolol showed high removal efficiencies exceeding 80%. On the other hand, pharmaceuticals like furosemide, metoprolol, iomeprol, zolpidem and tramadol showed lower removal efficiencies. Four pharmaceuticals exhibited higher concentrations in WWTP effluents than in the influents, resulting in negative removal efficiencies: warfarin at -9.5%, indomethacin at -53%, trimethoprim at -54% and metronidazole at -110%. These comprehensive findings contribute valuable insights to the pharmaceutical landscape of wastewater from healthcare facilities and the varied removal efficiencies of Czech WWTPs, which together with the already published literature, gives a more complete picture of the burden on the aquatic environment.
Spontaneous preterm delivery presents one of the most complex challenges in obstetrics and is a leading cause of perinatal morbidity and mortality. Although it is a common endpoint for multiple pathological processes, the mechanisms governing the etiological complexity of spontaneous preterm birth and the placental responses are poorly understood. This study examined placental tissues collected between May 2019 and May 2022 from a well-defined cohort of women who experienced spontaneous preterm birth (n = 72) and healthy full-term deliveries (n = 30). Placental metabolomic profiling of polar metabolites was performed using Ultra-High Performance Liquid Chromatography/Mass Spectrometry (UHPLC/MS) analysis. The resulting data were analyzed using multi- and univariate statistical methods followed by unsupervised clustering. A comprehensive metabolomic evaluation of the placenta revealed that spontaneous preterm birth was associated with significant changes in the levels of 34 polar metabolites involved in intracellular energy metabolism and biochemical activity, including amino acids, purine metabolites, and small organic acids. We found that neither the preterm delivery phenotype nor the inflammatory response explain the reported differential placental metabolome. However, unsupervised clustering revealed two molecular subtypes of placentas from spontaneous preterm pregnancies exhibiting differential enrichment of clinical parameters. We also identified differences between early and late preterm samples, suggesting distinct placental functions in early spontaneous preterm delivery. Altogether, we present evidence that spontaneous preterm birth is associated with significant changes in the level of placental polar metabolites. Dysregulation of the placental metabolome may underpin important (patho)physiological mechanisms involved in preterm birth etiology and long-term neonatal outcomes.
- Publikační typ
- časopisecké články MeSH
Microbiota plays a role in shaping the HPA-axis response to psychological stressors. To examine the role of microbiota in response to acute immune stressor, we stimulated the adaptive immune system by anti-CD3 antibody injection and investigated the expression of adrenal steroidogenic enzymes and profiling of plasma corticosteroids and their metabolites in specific pathogen-free (SPF) and germ-free (GF) mice. Using UHPLC-MS/MS, we showed that 4 hours after immune challenge the plasma levels of pregnenolone, progesterone, 11-deoxycorticosterone, corticosterone (CORT), 11-dehydroCORT and their 3α/β-, 5α-, and 20α-reduced metabolites were increased in SPF mice, but in their GF counterparts, only CORT was increased. Neither immune stress nor microbiota changed the mRNA and protein levels of enzymes of adrenal steroidogenesis. In contrast, immune stress resulted in downregulated expression of steroidogenic genes (Star, Cyp11a1, Hsd3b1, Hsd3b6) and upregulated expression of genes of the 3α-hydroxysteroid oxidoreductase pathway (Akr1c21, Dhrs9) in the testes of SPF mice. In the liver, immune stress downregulated the expression of genes encoding enzymes with 3β-hydroxysteroid dehydrogenase (HSD) (Hsd3b2, Hsd3b3, Hsd3b4, Hsd3b5), 3α-HSD (Akr1c14), 20α-HSD (Akr1c6, Hsd17b1, Hsd17b2) and 5α-reductase (Srd5a1) activities, except for Dhrs9, which was upregulated. In the colon, microbiota downregulated Cyp11a1 and modulated the response of Hsd11b1 and Hsd11b2 expression to immune stress. These data underline the role of microbiota in shaping the response to immune stressor. Microbiota modulates the stress-induced increase in C21 steroids, including those that are neuroactive that could play a role in alteration of HPA axis response to stress in GF animals.
- MeSH
- enzym štěpící postranní řetězce cholesterolu genetika metabolismus MeSH
- kortikosteron metabolismus MeSH
- mikrobiota * MeSH
- myši MeSH
- steroidy metabolismus MeSH
- systém hypofýza - nadledviny metabolismus MeSH
- systém hypotalamus-hypofýza * metabolismus MeSH
- tandemová hmotnostní spektrometrie MeSH
- zvířata MeSH
- Check Tag
- mužské pohlaví MeSH
- myši MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
OBJECTIVES: Both dimethylarginines are widely bound to chronic kidney disease (CKD). This study was focused to validate published LC-MS/MS method and compared the measured data with an immunoassay. DESIGN AND METHODS: The analysis was performed on a Dionex UltiMate 3000 UHPLC-Standard (Thermo Fisher Scientific, Waltham, Massachusetts, USA) with an amaZon SL ion trap (Bruker, Billerica, Massachusetts, USA). Comparison was evaluated by using Passing Bablok regression and Bland Altman plot. Healthy volunteers (n = 40) were used for validation and as control group to patients group (n = 40) with different stages of CKD. RESULTS: The results in healthy controls determined by the LC-MS/MS (ELISA) method were 0.52 ± 0.0892 with 95 % CI: 0.49-0.55 (0.61 ± 0.1213 with 95 % CI: 0.57-0.64) μmol/L for AD MA and 0.56 ± 0.0810 with 95 % CI: 0.53-0.58 (0.62 ± 0.0752 with 95 % CI: 0.57-0.65) μmol/L for SDMA. In the same way, the patient group values determined by the LC-MS/MS (ELISA) method were 0.82 ± 0.1604 with 95 % CI: 0.75-0.88 (1.06 ± 0.3002 with 95 % CI: 0.94-1.19) μmol/L and 2.14 ± 0.8778 with 95 % CI: 1.47-2.58 (1.65 ± 0.5160 with 95 % CI: 1.40-1.98) μmol/L for ADMA and SDMA, respectively. The correlation between the methods, expressed as the Spearman correlation coefficient (R), was 0.858 (0.8059) for ADMA (p < 0.0001) and 0.895 (0.9607) for SDMA (p < 0.0001). CONCLUSIONS: ADMA levels determined by the immunoassay were almost 30 % overestimated, in contrast to SDMA levels, which were 3 % underestimated. According to our findings, a better correlation could be obtained by simple sample dilution.
- Publikační typ
- časopisecké články MeSH
BACKGROUND: Systemically administered antibiotics are thought to penetrate the wounds more effectively during negative pressure wound therapy (NPWT).To test this hypothesis total and free antibiotic concentrations were quantified in serum and wound exudate. METHODS: UHPLC-MS/MS methods were developed and validated for the determination of ceftazidime, cefepime, cefotaxime, cefuroxime, cefazolin, meropenem, oxacillin, piperacillin with tazobactam, clindamycin, ciprofloxacin, sulfamethoxazole/trimethoprim (cotrimoxazole), gentamicin, vancomycin, and linezolid. The unbound antibiotic fraction was obtained by ultrafiltration using a Millipore Microcon-30kda Centrifugal Filter Unit. Analysis was performed on a 1.7-μm Acquity UPLC BEH C18 2.1 × 100-mm column with a gradient elution. RESULTS: The validation was performed for serum, exudates and free fractions. For all matrices, requirements were met regarding linearity, precision, accuracy, limit of quantitation, and matrix effect. The coefficient of variation was in the range of 1.2-13.6%.and the recovery 87.6-115.6%, respectively. Among the 29 applications of antibiotics thus far, including vancomycin, clindamycin, ciprofloxacin, oxacillin, cefepime, cefotaxime, cotrimoxazole, and gentamicin, total and free antibiotic concentrations in serum and exudate were correlated. CONCLUSION: This method can accurately quantify the total and free concentrations of 16 antibiotics. Comparison of concentration ratios between serum and exudates allows for monitoring individual antibiotics' penetration capacity in patients receiving NPWT.
- MeSH
- antibakteriální látky MeSH
- cefepim MeSH
- cefotaxim MeSH
- chromatografie kapalinová metody MeSH
- ciprofloxacin MeSH
- exsudáty a transsudáty MeSH
- gentamiciny MeSH
- infekce v ráně * MeSH
- klindamycin MeSH
- kombinace léků trimethoprim a sulfamethoxazol MeSH
- lidé MeSH
- oxacilin MeSH
- sternotomie MeSH
- tandemová hmotnostní spektrometrie metody MeSH
- terapie ran pomocí řízeného podtlaku * MeSH
- vankomycin MeSH
- vysokoúčinná kapalinová chromatografie metody MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
Ixazomib is the only orally active proteasome inhibitor used in clinical practice as an anticancer drug. The novel, rapid UHPLC-UV assay for ixazomib was developed and applied to the forced degradation study followed by HRMS identification of the main degradation products. Oxidative deboronation and hydrolysis of the amid bond were found to be the principal degradation pathways. The chemical standards of the main degradation products were prepared. The method was validated for the simultaneous assay of ixazomib and its degradation products within the concentration ranges of 2.50-100.00 μg/mL (ixazomib); 0.75-60.00 μg/mL (Impurity A and B) and 1.25-60.00 μg/mL (Impurity C). The stability study revealed that ixazomib in solution is: 1) relatively stable in neutral and acidic environments, 2) its decomposition is accelerated at higher pH, 3) it is sensitive to the effects of oxidants and light, and 4) the degradation of ixazomib follows the first-order kinetics under neutral, acidic, alkaline, and UV stress. Contrary, the solid substance of ixazomib citrate was relatively resistant to heat (70 °C), heat/humidity (70 °C/75 % RH), and UV irradiation for 24 h. This study presents the first MS-compatible UHPLC method for the quantification of ixazomib and its degradation products. Furthermore, it provides data about the inherent stability and kinetics of degradation of ixazomib in a solution that may be useful in further investigation of this drug, or the development of novel proteasome inhibitors based on the ixazomib structure.
A case study on Sitagliptin drug products and Sitagliptin/Metformin drug products concerning contamination with N-nitrosamines was performed using two newly developed analytical methods for determination of N-nitroso-triazolopyrazine (NTTP; 7-nitroso-3-(trifluoromethyl)-5,6,7,8-tetrahydro-[1,2,4]triazolo[4,3-a]pyrazine) and its precursor triazolopyrazine (3-(trifluoromethyl)-5,6,7,8-tetrahydro-[1,2,4]triazolo[4,3-a]pyrazine). The method for determination of triazolopyrazine was previously unpublished, the method for determination of NTTP was published only for analysis of active pharmaceutical ingredient Sitagliptin and not the drug forms. Solving the N-nitrosamine contamination is requested by regulatory authorities all over the world and thus is vital for all pharmaceutical companies. The solution always requires a sensitive analytical method. Both newly developed methods use liquid chromatography coupled with mass spectrometry (single quadrupole analyzer in case of triazolopyrazine and triple quadrupole analyzer in case of NTTP). Separation of triazolopyrazine was achieved on a column Acquity CSH C18 using a mobile phase consisting of aqueous ammonium formate buffered at pH 4.2 and acetonitrile. Detection was performed using positive electrospray and selected ion monitoring at m/z 193. Separation of NTTP was achieved on a column Acquity HSS T3 using a mobile phase consisting of 0.1 % formic acid in water and methanol. Detection was performed using positive electrospray and multiple reaction monitoring at transitions m/z 222.15→42.05 (collision energy 17 eV) and m/z 222.15→192.15 (collision energy 11 eV). Two issues specific to NTTP and triazolopyrazine previously not described in scientific literature were successfully troubleshooted. Spontaneous degradation of Sitagliptin to triazolopyrazine and methyl (R)-3-amino-4-(2,4,5-trifluorophenyl)butanoate was solved by using N,N-dimethylformamide as sample solvent during development of the method for quantitation of triazolopyrazine. A bad peak shape of NTTP due to the presence of rotamers of NTTP was successfully troubleshooted by increasing column temperature. Both methods were used during an optimization study of manufacturing of Sitagliptin and Sitagliptin/Metformin drug products. The goal of the study was to decrease NTTP content in the final drug product under the strict legislative limit set by Federal Drug Agency. The efficacy of several solutions was proven, but could not be fully disclosed due to Intellectual Property Protection policy of Zentiva. Instead, a brief review of recently published strategies to cope with N-nitrosamine contamination is presented.
