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Vanden Broecke E, Van Mulders L, De Paepe E, Daminet S, Vanhaecke L. Optimization and validation of metabolomics methods for feline urine and serum towards application in veterinary medicine. Anal Chim Acta 2024; 1310:342694. [PMID: 38811133 DOI: 10.1016/j.aca.2024.342694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 05/02/2024] [Accepted: 05/05/2024] [Indexed: 05/31/2024]
Abstract
BACKGROUND Metabolomics is an emerging and powerful technology that offers a comprehensive view of an organism's physiological status. Although widely applied in human medicine, it is only recently making its introduction in veterinary medicine. As a result, validated metabolomics protocols in feline medicine are lacking at the moment. Since biological interpretation of metabolomics data can be misled by the extraction method used, species and matrix-specific optimized and validated metabolomic protocols are sorely needed. RESULTS Systematic optimization was performed using fractional factorial experiments for both serum (n = 57) and urine (n = 24), evaluating dilution for both matrices, and aliquot and solvent volume, protein precipitation time and temperature for serum. For the targeted (n = 76) and untargeted (n = 1949) validation of serum respectively, excellent instrumental, intra-assay and inter-day precision were observed (CV ≤ 15% or 30%, respectively). Linearity deemed sufficient both targeted and untargeted (R2 ≥ 0.99 or 0.90, respectively). An appropriate targeted recovery between 70 and 130% was achieved. For the targeted (n = 69) and untargeted (n = 2348) validation of the urinary protocol, excellent instrumental and intra-assay precision were obtained (CV ≤ 15% or 30%, respectively). Subsequently, the discriminative ability of our metabolomics methods was confirmed for feline chronic kidney disease (CKD) by univariate statistics (n = 41 significant metabolites for serum, and n = 55 for urine, p-value<0.05) and validated OPLS-DA models (R2(Y) > 0.95, Q2(Y) > 0.65, p-value<0.001 for both matrices). SIGNIFICANCE This study is the first to present an optimized and validated wholistic metabolomics methods for feline serum and urine using ultra-high performance liquid chromatography coupled to quadrupole-Orbitrap high-resolution mass spectrometry. This robust methodology opens avenues for biomarker panel selection and a deeper understanding of feline CKD pathophysiology and other feline applications.
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Affiliation(s)
- Ellen Vanden Broecke
- Ghent University, Faculty of Veterinary Medicine, Department of Translational Physiology, Infectiology and Public Health, Laboratory of Integrative Metabolomics (LIMET), Salisburylaan 133, B-9820, Merelbeke, Belgium; Ghent University, Faculty of Veterinary Medicine, Department of Small Animals, Salisburylaan 133, B-9820, Merelbeke, Belgium
| | - Laurens Van Mulders
- Ghent University, Faculty of Veterinary Medicine, Department of Translational Physiology, Infectiology and Public Health, Laboratory of Integrative Metabolomics (LIMET), Salisburylaan 133, B-9820, Merelbeke, Belgium; Ghent University, Faculty of Veterinary Medicine, Department of Small Animals, Salisburylaan 133, B-9820, Merelbeke, Belgium
| | - Ellen De Paepe
- Ghent University, Faculty of Veterinary Medicine, Department of Translational Physiology, Infectiology and Public Health, Laboratory of Integrative Metabolomics (LIMET), Salisburylaan 133, B-9820, Merelbeke, Belgium
| | - Sylvie Daminet
- Ghent University, Faculty of Veterinary Medicine, Department of Small Animals, Salisburylaan 133, B-9820, Merelbeke, Belgium
| | - Lynn Vanhaecke
- Ghent University, Faculty of Veterinary Medicine, Department of Translational Physiology, Infectiology and Public Health, Laboratory of Integrative Metabolomics (LIMET), Salisburylaan 133, B-9820, Merelbeke, Belgium; Queen's University Belfast, School of Biological Sciences, Institute for Global Food Security, Chlorine Gardens 19, BT9-5DL, Belfast, Northern Ireland, United Kingdom.
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Zhu P, Dubbelman AC, Hunter C, Genangeli M, Karu N, Harms A, Hankemeier T. Development of an Untargeted LC-MS Metabolomics Method with Postcolumn Infusion for Matrix Effect Monitoring in Plasma and Feces. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2024; 35:590-602. [PMID: 38379502 PMCID: PMC10921459 DOI: 10.1021/jasms.3c00418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 01/30/2024] [Accepted: 02/05/2024] [Indexed: 02/22/2024]
Abstract
Untargeted metabolomics based on reverse phase LC-MS (RPLC-MS) plays a crucial role in biomarker discovery across physiological and disease states. Standardizing the development process of untargeted methods requires paying attention to critical factors that are under discussed or easily overlooked, such as injection parameters, performance assessment, and matrix effect evaluation. In this study, we developed an untargeted metabolomics method for plasma and fecal samples with the optimization and evaluation of these factors. Our results showed that optimizing the reconstitution solvent and sample injection amount was critical for achieving the balance between metabolites coverage and signal linearity. Method validation with representative stable isotopically labeled standards (SILs) provided insights into the analytical performance evaluation of our method. To tackle the issue of the matrix effect, we implemented a postcolumn infusion (PCI) approach to monitor the overall absolute matrix effect (AME) and relative matrix effect (RME). The monitoring revealed distinct AME and RME profiles in plasma and feces. Comparing RME data obtained for SILs through postextraction spiking with those monitored using PCI compounds demonstrated the comparability of these two methods for RME assessment. Therefore, we applied the PCI approach to predict the RME of 305 target compounds covered in our in-house library and found that targets detected in the negative polarity were more vulnerable to the RME, regardless of the sample matrix. Given the value of this PCI approach in identifying the strengths and weaknesses of our method in terms of the matrix effect, we recommend implementing a PCI approach during method development and applying it routinely in untargeted metabolomics.
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Affiliation(s)
- Pingping Zhu
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden 2333 CC, Netherlands
| | - Anne-Charlotte Dubbelman
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden 2333 CC, Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands
| | | | - Michele Genangeli
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden 2333 CC, Netherlands
| | - Naama Karu
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden 2333 CC, Netherlands
| | - Amy Harms
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden 2333 CC, Netherlands
| | - Thomas Hankemeier
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden 2333 CC, Netherlands
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Yin J, Guo W, Li X, Ding H, Han L, Yang X, Zhu L, Li F, Bie S, Song X, Yu H, Li Z. Extensive evaluation of plasma metabolic sample preparation process based on liquid chromatography-mass spectrometry and its application in the in vivo metabolism of Shuang-Huang-Lian powder injection. J Chromatogr B Analyt Technol Biomed Life Sci 2023; 1228:123808. [PMID: 37453388 DOI: 10.1016/j.jchromb.2023.123808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 06/04/2023] [Accepted: 06/19/2023] [Indexed: 07/18/2023]
Abstract
Shuang-Huang-Lian powder injection (SHLPI) is a natural drug injection made of honeysuckle, scutellaria baicalensis and forsythia suspensa. It has the characteristics of complex chemical composition and difficult metabolism research in vivo. LC-MS platform has been proven to be an important analytical technology in plasma metabolomics. Unfortunately, the lack of an effective sample preparation strategy before analysis often significantly impacts experimental results. In this work, twenty-one extraction protocols including eight protein precipitation (PPT), eight liquid-liquid extractions (LLE), four solid-phase extractions (SPE), and one ultrafiltration (U) were simultaneously evaluated using plasma metabolism of SHLPI in vivo. In addition, a strategy of "feature ion extraction of the multi-component metabolic platform of traditional Chinese medicine" (FMM strategy) was proposed for the in-depth characterization of metabolites after intravenous injection of SHLPI in rats. The results showed that the LLE-3 protocol (Pentanol:Tetrahydrofuran:H2O, 1:4:35, v:v:v) was the most effective strategy in the in vivo metabolic detection of SHLPI. Furthermore, we used the FMM strategy to elaborate the in vivo metabolic pathways of six representative substances in SHLPI components. This research was completed by ion migration quadrupole time of flight mass spectrometer combined with ultra high performance liquid chromatography (UPLC/Vion™-IMS-QTof-MS) and UNIFI™ metabolic platform. The results showed that 114 metabolites were identified or preliminarily identified in rat plasma. This work provides relevant data and information for further research on the pharmacodynamic substances and in vivo mechanisms of SHLPI. Meanwhile, it also proves that LLE-3 and FMM strategies could achieve the in-depth characterization of complex natural drug metabolites related to Shuang-Huang-Lian in vivo.
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Affiliation(s)
- Jiaxin Yin
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, No. 10 Poyanghu Road, West Tuanbo New Town, Jinghai District, Tianjin 301617, PR China
| | - Wen Guo
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, No. 10 Poyanghu Road, West Tuanbo New Town, Jinghai District, Tianjin 301617, PR China
| | - Xuejuan Li
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, No. 10 Poyanghu Road, West Tuanbo New Town, Jinghai District, Tianjin 301617, PR China
| | - Hui Ding
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, No. 10 Poyanghu Road, West Tuanbo New Town, Jinghai District, Tianjin 301617, PR China
| | - Lifeng Han
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, PR China; Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, PR China
| | - Xiangdong Yang
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300193, PR China
| | - Limin Zhu
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300193, PR China
| | - Fangyi Li
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, No. 10 Poyanghu Road, West Tuanbo New Town, Jinghai District, Tianjin 301617, PR China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, PR China; Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, PR China
| | - Songtao Bie
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, No. 10 Poyanghu Road, West Tuanbo New Town, Jinghai District, Tianjin 301617, PR China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, PR China; Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, PR China
| | - Xinbo Song
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, No. 10 Poyanghu Road, West Tuanbo New Town, Jinghai District, Tianjin 301617, PR China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, PR China; Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, PR China
| | - Heshui Yu
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, No. 10 Poyanghu Road, West Tuanbo New Town, Jinghai District, Tianjin 301617, PR China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, PR China; Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, PR China.
| | - Zheng Li
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, No. 10 Poyanghu Road, West Tuanbo New Town, Jinghai District, Tianjin 301617, PR China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, PR China; Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, PR China.
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Madrid-Gambin F, Oller S, Marco S, Pozo ÓJ, Andres-Lacueva C, Llorach R. Quantitative plasma profiling by 1H NMR-based metabolomics: impact of sample treatment. Front Mol Biosci 2023; 10:1125582. [PMID: 37333016 PMCID: PMC10273206 DOI: 10.3389/fmolb.2023.1125582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 05/22/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction: There is evidence that sample treatment of blood-based biosamples may affect integral signals in nuclear magnetic resonance-based metabolomics. The presence of macromolecules in plasma/serum samples makes investigating low-molecular-weight metabolites challenging. It is particularly relevant in the targeted approach, in which absolute concentrations of selected metabolites are often quantified based on the area of integral signals. Since there are a few treatments of plasma/serum samples for quantitative analysis without a universally accepted method, this topic remains of interest for future research. Methods: In this work, targeted metabolomic profiling of 43 metabolites was performed on pooled plasma to compare four methodologies consisting of Carr-Purcell-Meiboom-Gill (CPMG) editing, ultrafiltration, protein precipitation with methanol, and glycerophospholipid solid-phase extraction (g-SPE) for phospholipid removal; prior to NMR metabolomics analysis. The effect of the sample treatments on the metabolite concentrations was evaluated using a permutation test of multiclass and pairwise Fisher scores. Results: Results showed that methanol precipitation and ultrafiltration had a higher number of metabolites with coefficient of variation (CV) values above 20%. G-SPE and CPMG editing demonstrated better precision for most of the metabolites analyzed. However, differential quantification performance between procedures were metabolite-dependent. For example, pairwise comparisons showed that methanol precipitation and CPMG editing were suitable for quantifying citrate, while g-SPE showed better results for 2-hydroxybutyrate and tryptophan. Discussion: There are alterations in the absolute concentration of various metabolites that are dependent on the procedure. Considering these alterations is essential before proceeding with the quantification of treatment-sensitive metabolites in biological samples for improving biomarker discovery and biological interpretations. The study demonstrated that g-SPE and CPMG editing are effective methods for removing proteins and phospholipids from plasma samples for quantitative NMR analysis of metabolites. However, careful consideration should be given to the specific metabolites of interest and their susceptibility to the sample treatment procedures. These findings contribute to the development of optimized sample preparation protocols for metabolomics studies using NMR spectroscopy.
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Affiliation(s)
- Francisco Madrid-Gambin
- Applied Metabolomics Research Group, IMIM—Institut Hospital del Mar d’Investigacions Mèdiques, Barcelona, Spain
- Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Sergio Oller
- Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Department of Electronics and Biomedical Engineering, Faculty of Physics, University of Barcelona, Barcelona, Spain
| | - Santiago Marco
- Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Department of Electronics and Biomedical Engineering, Faculty of Physics, University of Barcelona, Barcelona, Spain
| | - Óscar J. Pozo
- Applied Metabolomics Research Group, IMIM—Institut Hospital del Mar d’Investigacions Mèdiques, Barcelona, Spain
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Sant Coloma de Gramanet, Spain
- Food Innovation Network (XIA), Santa Coloma de Gramanet, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Santa Coloma de Gramanet, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Rafael Llorach
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Sant Coloma de Gramanet, Spain
- Food Innovation Network (XIA), Santa Coloma de Gramanet, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Santa Coloma de Gramanet, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
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Lepoittevin M, Blancart-Remaury Q, Kerforne T, Pellerin L, Hauet T, Thuillier R. Comparison between 5 extractions methods in either plasma or serum to determine the optimal extraction and matrix combination for human metabolomics. Cell Mol Biol Lett 2023; 28:43. [PMID: 37210499 DOI: 10.1186/s11658-023-00452-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/18/2023] [Indexed: 05/22/2023] Open
Abstract
BACKGROUND Although metabolomics continues to expand in many domains of research, methodological issues such as sample type, extraction and analytical protocols have not been standardized, impeding proper comparison between studies and future research. METHODS In the present study, five solvent-based and solid-phase extraction methods were investigated in both plasma and serum. All these extracts were analyzed using four liquid chromatography coupled with high resolution mass spectrometry (LC-MS) protocols, either in reversed or normal-phase and with both types of ionization. The performances of each method were compared according to putative metabolite coverage, method repeatability and also extraction parameters such as overlap, linearity and matrix effect; in both untargeted (global) and targeted approaches using fifty standard spiked analytes. RESULTS Our results verified the broad specificity and outstanding accuracy of solvent precipitation, namely methanol and methanol/acetonitrile. We also reveal high orthogonality between methanol-based methods and SPE, providing the possibility of increased metabolome coverage, however we highlight that such potential benefits must be weighed against time constrains, sample consumption and the risk of low reproducibility of SPE method. Furthermore, we highlighted the careful consideration about matrix choice. Plasma showed the most suitable in this metabolomics approach combined with methanol-based methods. CONCLUSIONS Our work proposes to facilitate rational design of protocols towards standardization of these approaches to improve the impact of metabolomics research.
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Affiliation(s)
- Maryne Lepoittevin
- Inserm Unit IRMETIST, UMR U1313, University of Poitiers, Faculty of Medicine and Pharmacy, 86073, Poitiers, France
| | | | - Thomas Kerforne
- Inserm Unit IRMETIST, UMR U1313, University of Poitiers, Faculty of Medicine and Pharmacy, 86073, Poitiers, France
- Cardio-Thoracic and Vascular Surgery Intensive Care Unit, Coordination of P.M.O. CHU Poitiers, 86021, Poitiers, France
| | - Luc Pellerin
- Inserm Unit IRMETIST, UMR U1313, University of Poitiers, Faculty of Medicine and Pharmacy, 86073, Poitiers, France
- Biochemistry Department CHU Poitiers, 86021, Poitiers, France
| | - Thierry Hauet
- Inserm Unit IRMETIST, UMR U1313, University of Poitiers, Faculty of Medicine and Pharmacy, 86073, Poitiers, France
- Biochemistry Department CHU Poitiers, 86021, Poitiers, France
- University Hospital Federation SUPPORT Tours Poitiers Limoges, 86021, Poitiers, France
| | - Raphael Thuillier
- Inserm Unit IRMETIST, UMR U1313, University of Poitiers, Faculty of Medicine and Pharmacy, 86073, Poitiers, France.
- Biochemistry Department CHU Poitiers, 86021, Poitiers, France.
- University Hospital Federation SUPPORT Tours Poitiers Limoges, 86021, Poitiers, France.
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Shi P, Xia B, Qin Y, Zhou Y. Removal of multiple lipids from human plasma using a hydroxyl-functionalized covalent organic framework aerogel as a new sorbent. Mikrochim Acta 2023; 190:222. [PMID: 37184589 DOI: 10.1007/s00604-023-05770-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 03/29/2023] [Indexed: 05/16/2023]
Abstract
A hydroxyl-functionalized covalent organic framework aerogel COFTHB-TAPB-aerogel was designed and prepared as an adsorbent for the removal of multiple lipids from human plasma. The applications of 1,3,5-tris(4'-hydroxy-5'-formylphenyl)benzene (THB) and 1,3,5-tris(4-aminophenyl)benzene (TAPB) as monomers, DMSO/mesitylene (v/v, 4/1) as reaction solvent, and n-propylamine as reaction regulator endow COFTHB-TAPB-aerogel with good adsorption performance for multiple lipids. The morphology, phase purity, specific surface area, pore size, surface charge, and stability of COFTHB-TAPB-aerogel were characterized. Adsorption thermodynamics and adsorption kinetics studies showed that COFTHB-TAPB-aerogel had high equilibrium adsorption capacities (> 15913 mg g-1) and fast adsorption equilibrium (≤ 10 s) for the four model lipids tested. COFTHB-TAPB-aerogel had good reusability with the removal of the model lipids being still more than 91% after 10 use cycles. The sample pretreatment conditions and adsorbent amounts used in lipids removal experiments were optimized. Under the optimized conditions, the method of ultra-high performance liquid chromatography-high-resolution mass spectrometry (UHPLC-HRMS) using COFTHB-TAPB-aerogel as solid-phase extraction sorbent was validated with negligible matrix effects (0.4-3.0%) and good accuracy (86.7-110%) and was applied to determine 20 amino acids in human plasma samples from healthy individuals and gastric adenocarcinoma (GA) patients. The established method has been proved to have good application potential for the removal of multiple lipids in human plasma to reduce the matrix effects and improve the accuracy of clinical LC-MS analysis.
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Affiliation(s)
- Peiyu Shi
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Chengdu Institute of Food Inspection, Chengdu, 611135, China
| | - Bing Xia
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Yongping Qin
- Clinical Pharmacology Lab, Clinical Trial Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Yan Zhou
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China.
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Luo J, Kibriya MG, Chen H, Kim K, Ahsan H, Olopade OI, Olopade CS, Aschebrook-Kilfoy B, Huo D. A metabolome-wide case-control study of african american breast cancer patients. BMC Cancer 2023; 23:183. [PMID: 36823587 PMCID: PMC9948520 DOI: 10.1186/s12885-023-10656-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 02/16/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND Breast cancer survivors face long-term sequelae compared to the general population, suggesting altered metabolic profiles after breast cancer. We used metabolomics approaches to investigate the metabolic differences between breast cancer patients and women in the general population, aiming to elaborate metabolic changes among breast cancer patients and identify potential targets for clinical interventions to mitigate long-term sequelae. METHODS Serum samples were retrieved from 125 breast cancer cases recruited from the Chicago Multiethnic Epidemiologic Breast Cancer Cohort (ChiMEC), and 125 healthy controls selected from Chicago Multiethnic Prevention and Surveillance Study (COMPASS). We used liquid chromatography-high resolution mass spectrometry to obtain untargeted metabolic profiles and partial least squares discriminant analysis (PLS-DA) combined with fold change to select metabolic features associated with breast cancer. Pathway analyses were conducted using Mummichog to identify differentially enriched metabolic pathways among cancer patients. As potential confounders we included age, marital status, tobacco smoking, alcohol drinking, type 2 diabetes, and area deprivation index in our model. Random effects of residence for intercept was also included in the model. We further conducted subgroup analysis by treatment timing (chemotherapy/radiotherapy/surgery), lymph node status, and cancer stages. RESULTS The entire study participants were African American. The average ages were 57.1 for cases and 58.0 for controls. We extracted 15,829 features in total, among which 507 features were eventually selected by our criteria. Pathway enrichment analysis of these 507 features identified three differentially enriched metabolic pathways related to prostaglandin, leukotriene, and glycerophospholipid. The three pathways demonstrated inconsistent patterns. Metabolic features in the prostaglandin and leukotriene pathways exhibited increased abundances among cancer patients. In contrast, metabolic intensity in the glycerolphospholipid pathway was deregulated among cancer patients. Subgroup analysis yielded consistent results. However, changes in these pathways were strengthened when only using cases with positive lymph nodes, and attenuated when only using cases with stage I disease. CONCLUSION Breast cancer in African American women is associated with increase in serum metabolites involved in prostaglandin and leukotriene pathways, but with decrease in serum metabolites in glycerolphospholipid pathway. Positive lymph nodes and advanced cancer stage may strengthen changes in these pathways.
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Affiliation(s)
- Jiajun Luo
- Department of Public Health Sciences, University of Chicago Biological Sciences, 5841 S. Maryland Ave. MC2000, 60637, Chicago, IL, USA.,Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA.,Comprehensive Cancer Center, University of Chicago, Chicago, IL, USA
| | - Muhammad G Kibriya
- Department of Public Health Sciences, University of Chicago Biological Sciences, 5841 S. Maryland Ave. MC2000, 60637, Chicago, IL, USA.,Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA
| | - Hui Chen
- Mass Spectrometry Core, University of Illinois at Chicago, Chicago, IL, USA
| | - Karen Kim
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA.,Comprehensive Cancer Center, University of Chicago, Chicago, IL, USA.,Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago Biological Sciences, 5841 S. Maryland Ave. MC2000, 60637, Chicago, IL, USA.,Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA.,Comprehensive Cancer Center, University of Chicago, Chicago, IL, USA
| | | | | | - Briseis Aschebrook-Kilfoy
- Department of Public Health Sciences, University of Chicago Biological Sciences, 5841 S. Maryland Ave. MC2000, 60637, Chicago, IL, USA. .,Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA. .,Comprehensive Cancer Center, University of Chicago, Chicago, IL, USA.
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago Biological Sciences, 5841 S. Maryland Ave. MC2000, 60637, Chicago, IL, USA. .,Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA. .,Comprehensive Cancer Center, University of Chicago, Chicago, IL, USA. .,Department of Medicine, University of Chicago, Chicago, IL, USA.
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Towards Unbiased Evaluation of Ionization Performance in LC-HRMS Metabolomics Method Development. Metabolites 2022; 12:metabo12050426. [PMID: 35629930 PMCID: PMC9144264 DOI: 10.3390/metabo12050426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 05/02/2022] [Accepted: 05/07/2022] [Indexed: 11/27/2022] Open
Abstract
As metabolomics increasingly finds its way from basic science into applied and regulatory environments, analytical demands on nontargeted mass spectrometric detection methods continue to rise. In addition to improved chemical comprehensiveness, current developments aim at enhanced robustness and repeatability to allow long-term, inter-study, and meta-analyses. Comprehensive metabolomics relies on electrospray ionization (ESI) as the most versatile ionization technique, and recent liquid chromatography-high resolution mass spectrometry (LC-HRMS) instrumentation continues to overcome technical limitations that have hindered the adoption of ESI for applications in the past. Still, developing and standardizing nontargeted ESI methods and instrumental setups remains costly in terms of time and required chemicals, as large panels of metabolite standards are needed to reflect biochemical diversity. In this paper, we investigated in how far a nontargeted pilot experiment, consisting only of a few measurements of a test sample dilution series and comprehensive statistical analysis, can replace conventional targeted evaluation procedures. To examine this potential, two instrumental ESI ion source setups were compared, reflecting a common scenario in practical method development. Two types of feature evaluations were performed, (a) summary statistics solely involving feature intensity values, and (b) analyses additionally including chemical interpretation. Results were compared in detail to a targeted evaluation of a large metabolite standard panel. We reflect on the advantages and shortcomings of both strategies in the context of current harmonization initiatives in the metabolomics field.
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9
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Anesi A, Berding K, Clarke G, Stanton C, Cryan JF, Caplice N, Ross RP, Doolan A, Vrhovsek U, Mattivi F. Metabolomic Workflow for the Accurate and High-Throughput Exploration of the Pathways of Tryptophan, Tyrosine, Phenylalanine, and Branched-Chain Amino Acids in Human Biofluids. J Proteome Res 2022; 21:1262-1275. [PMID: 35380444 PMCID: PMC9087329 DOI: 10.1021/acs.jproteome.1c00946] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The modulation of host and dietary metabolites by gut microbiota (GM) is important for maintaining correct host physiology and in the onset of various pathologies. An ultrahigh-performance liquid chromatography-electrospray ionization-tandem mass spectrometry method was developed for the targeted quantitation in human plasma, serum, and urine of 89 metabolites resulting from human-GM cometabolism of dietary essential amino acids tryptophan, tyrosine, and phenylalanine as well as branched-chain amino acids. Ninety-six-well plate hybrid-SPE enables fast clean-up of plasma and serum. Urine was diluted and filtered. A 15 min cycle enabled the acquisition of 96 samples per day, with most of the metabolites stable in aqueous solution for up to 72 h. Calibration curves were specifically optimized to cover expected concentrations in biological fluids, and limits of detection were at the order of ppb. Matrix effects were in acceptable ranges, and analytical recoveries were in general greater than 80%. Inter and intraday precision and accuracy were satisfactory. We demonstrated its application in plasma and urine samples obtained from the same individual in the frame of an interventional study, allowing the quantitation of 51 metabolites. The method could be considered the reference for deciphering changes in human-gut microbial cometabolism in health and disease. Data are available via Metabolights with the identifier MTBLS4399.
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Affiliation(s)
- Andrea Anesi
- Unit of Metabolomics, Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), 38010 San Michele all'Adige, Italy
| | - Kirsten Berding
- APC Microbiome Ireland, University College Cork, T12 YT20 Cork, Ireland
| | - Gerard Clarke
- APC Microbiome Ireland, University College Cork, T12 YT20 Cork, Ireland.,Department of Psychiatry and Neurobehavioural Sciences, University College Cork, T12 YT20 Cork, Ireland
| | - Catherine Stanton
- APC Microbiome Ireland, University College Cork, T12 YT20 Cork, Ireland
| | - John F Cryan
- APC Microbiome Ireland, University College Cork, T12 YT20 Cork, Ireland.,Department of Anatomy and Neuroscience, University College Cork, T12 YT20 Cork, Ireland
| | - Noel Caplice
- APC Microbiome Ireland, University College Cork, T12 YT20 Cork, Ireland.,Centre for Research in Vascular Biology, University College Cork, T12 YT20 Cork, Ireland
| | - R Paul Ross
- APC Microbiome Ireland, University College Cork, T12 YT20 Cork, Ireland
| | - Andrea Doolan
- Atlantia Food Clinical Trial, Blackpool, T23 R50R Cork, Ireland
| | - Urska Vrhovsek
- Unit of Metabolomics, Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), 38010 San Michele all'Adige, Italy
| | - Fulvio Mattivi
- Unit of Metabolomics, Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), 38010 San Michele all'Adige, Italy.,Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123 Trento, Italy
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10
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Chaker J, Kristensen DM, Halldorsson TI, Olsen SF, Monfort C, Chevrier C, Jégou B, David A. Comprehensive Evaluation of Blood Plasma and Serum Sample Preparations for HRMS-Based Chemical Exposomics: Overlaps and Specificities. Anal Chem 2022; 94:866-874. [DOI: 10.1021/acs.analchem.1c03638] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Jade Chaker
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - David Møbjerg Kristensen
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
- Department of Neurology, Danish Headache Center, Rigshospitalet, University of Copenhagen, Copenhagen 1165, Denmark
| | - Thorhallur Ingi Halldorsson
- Center for Fetal Programming, Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark
- The Unit for Nutrition Research, Faculty of Food Science and Nutrition, School of Health Sciences, University of Iceland, Reykjavik 101, Iceland
| | - Sjurdur Frodi Olsen
- Center for Fetal Programming, Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Christine Monfort
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - Cécile Chevrier
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - Bernard Jégou
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - Arthur David
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
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11
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Liu Z, Wang P, Liu Z, Wei C, Li Y, Liu L. Evaluation of liver tissue extraction protocol for untargeted metabolomics analysis by ultra-high-performance liquid chromatography/tandem mass spectrometry. J Sep Sci 2021; 44:3450-3461. [PMID: 34129724 DOI: 10.1002/jssc.202100051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 06/06/2021] [Accepted: 06/12/2021] [Indexed: 12/29/2022]
Abstract
The aim of the untargeted metabolomics study is to obtain a global metabolome coverage from biological samples. Therefore, a comprehensive and systematic protocol for tissue metabolite extraction is highly desirable. In this study, we evaluated a comprehensive liver pretreatment strategy based on ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry to obtain more metabolites using four different protocols. These protocols included (A) methanol protein precipitation, (B) two-step extraction of dichloromethane-methanol followed by methanol-water, (C) two-step extraction of methyl tert-butyl ether-methanol followed by methanol-water, and (D) two-step extraction of isopropanol-methanol followed by methanol-water. Our results showed that protocol D was superior to the others due to more extracted features, annotated metabolites, and better reproducibility. And then, the stability and extraction sequence of protocol D were evaluated. The results showed that extraction with isopropanol-methanol followed by methanol-water was the optimum preparation sequence, which offered higher extraction efficiency, satisfactory repeatability, and acceptable stability. Furthermore, the optimal protocol was successfully applied by liver samples of rats after high-fat intervention. In summary, our protocol enabled a comprehensive and systematic evaluation of liver pretreatment to obtain more medium-polar and nonpolar metabolites and was suitable for high-throughput metabolomics analysis.
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Affiliation(s)
- Zhipeng Liu
- National Key Discipline Laboratory, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, P. R. China
| | - Peng Wang
- National Key Discipline Laboratory, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, P. R. China
| | - Zengjiao Liu
- National Key Discipline Laboratory, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, P. R. China
| | - Chunbo Wei
- National Key Discipline Laboratory, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, P. R. China
| | - Ying Li
- National Key Discipline Laboratory, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, P. R. China
| | - Liyan Liu
- National Key Discipline Laboratory, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, P. R. China
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12
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Bach A, Fleischer H, Wijayawardena B, Thurow K. Optimization of Automated Sample Preparation for Vitamin D Determination on a Biomek i7 Workstation. SLAS Technol 2021; 26:615-629. [PMID: 34282678 DOI: 10.1177/24726303211030291] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Vitamin D belongs to the fat-soluble vitamins and is an integral part of bone metabolism. In the human body, a decreased vitamin D level can be an additional risk factor for diseases like cancer, diabetes, and mental diseases. As a result, an enormous increase in the demand for vitamin D testing has been observed in recent years, increasing the demand for powerful methods for vitamin D determination at the same time.Automation is the key factor in increasing sample throughput. This study compares three fully automated sample preparation methods for the determination of 25(OH)D2 and 25(OH)D3 in plasma and serum samples. Starting from a semiautomated reference method, the method is tested manually and subsequently fully automated on the Biomek i7 Workstation by integrating a centrifuge and a positive pressure extractor into the workstation. Alternatively, the centrifugation for the separation of protein aggregates and supernatant is replaced by a filter plate. Finally, the sample throughput is further increased by using phospholipid removal cartridges. The results show that phospholipid removal significantly increases the recovery rates in liquid chromatography-mass spectrometry. With the phospholipid removal cartridges, recovery rates of 97.36% for 25(OH)D2 and 102.5% for 25(OH)D3 were achieved, whereas with the automated classic automated preparation method, the recovery rates were 83.31% for 25(OH)D2 and 86.54% for 25(OH)D3. In addition to the technical evaluation, the different methods were also examined with regard to their economic efficiency. Finally, the qualitative and quantitative performance of the developed methods is benchmarked with a selected semiautomatic reference method.
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Affiliation(s)
- Anna Bach
- Center for Life Science Automation, University of Rostock, Rostock, Germany
| | - Heidi Fleischer
- Institute of Automation, University of Rostock, Rostock, Germany
| | | | - Kerstin Thurow
- Center for Life Science Automation, University of Rostock, Rostock, Germany
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13
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Systematic evaluation of sample preparation strategy for GC-MS-based plasma metabolomics and its application in osteoarthritis. Anal Biochem 2021; 621:114153. [PMID: 33684344 DOI: 10.1016/j.ab.2021.114153] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 02/09/2021] [Accepted: 02/24/2021] [Indexed: 12/20/2022]
Abstract
Sample preparation plays a crucial part in plasma metabolomics. In order to obtain an optimal sample extraction method for gas chromatography mass spectrometry (GC-MS)-based plasma metabolomics, five different extraction strategies including protein precipitation, liquid-liquid extraction and solid-phase extraction were evaluated systematically for both plasma untargeted- and targeted-metabolomics. The comprehensive evaluation revealed that the all-in-one sample preparation method, MeOH-MTBE-H2O (1:5:1.5, v/v/v), was the optimal extraction method for both untargeted- and targeted-metabolomics. Next, the optimal sample preparation protocol was applied in plasma metabolomics of osteoarthritis (OA). A panel containing cholesterol, lactic acid, stearic acid, alpha-tocopherol and oxalic acid was selected as candidate biomarker to distinguish OA patients from healthy controls (HC) based on the support vector machine (SVM) classification model. The discriminating capability of the candidate biomarker panel was further validated successfully with logistic regression and principal components analysis (PCA) analysis. Therefore, the panel could potentially act as diagnostic biomarker for osteoarthritis.
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14
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Zhang Q, He Z, Liu Z, Gong L. Integrated plasma and liver gas chromatography mass spectrometry and liquid chromatography mass spectrometry metabolomics to reveal physiological functions of sodium taurocholate cotransporting polypeptide (NTCP) with an Ntcp knockout mouse model. J Chromatogr B Analyt Technol Biomed Life Sci 2021; 1165:122531. [DOI: 10.1016/j.jchromb.2021.122531] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 12/10/2020] [Accepted: 01/05/2021] [Indexed: 12/12/2022]
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15
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Roca M, Alcoriza MI, Garcia-Cañaveras JC, Lahoz A. Reviewing the metabolome coverage provided by LC-MS: Focus on sample preparation and chromatography-A tutorial. Anal Chim Acta 2020; 1147:38-55. [PMID: 33485584 DOI: 10.1016/j.aca.2020.12.025] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 12/11/2020] [Accepted: 12/14/2020] [Indexed: 12/11/2022]
Abstract
Metabolomics has become an invaluable tool for both studying metabolism and biomarker discovery. The great technical advances in analytical chemistry and bioinformatics have considerably increased the number of measurable metabolites, yet an important part of the human metabolome remains uncovered. Among the various MS hyphenated techniques available, LC-MS stands out as the most used. Here, we aimed to show the capabilities of LC-MS to uncover part of the metabolome and how to best proceed with sample preparation and LC to maximise metabolite detection. The analyses of various open metabolite databases served us to estimate the size of the already detected human metabolome, the expected metabolite composition of most used human biospecimens and which part of the metabolome can be detected when LC-MS is used. Based on an extensive review and on our experience, we have outlined standard procedures for LC-MS analysis of urine, cells, serum/plasma, tissues and faeces, to guide in the selection of the sample preparation method that best matches with one or more LC techniques in order to get the widest metabolome coverage. These standard procedures may be a useful tool to explore, at a glance, the wide spectrum of possibilities available, which can be a good starting point for most of the LC-MS metabolomic studies.
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Affiliation(s)
- Marta Roca
- Analytical Unit, Medical Research Institute-Hospital La Fe, Av. Fernando Abril Martorell 106, Valencia, 46026, Spain
| | - Maria Isabel Alcoriza
- Biomarkers and Precision Medicine Unit, Medical Research Institute-Hospital La Fe, Av. Fernando Abril Martorell 106, Valencia, 46026, Spain
| | - Juan Carlos Garcia-Cañaveras
- Biomarkers and Precision Medicine Unit, Medical Research Institute-Hospital La Fe, Av. Fernando Abril Martorell 106, Valencia, 46026, Spain
| | - Agustín Lahoz
- Analytical Unit, Medical Research Institute-Hospital La Fe, Av. Fernando Abril Martorell 106, Valencia, 46026, Spain; Biomarkers and Precision Medicine Unit, Medical Research Institute-Hospital La Fe, Av. Fernando Abril Martorell 106, Valencia, 46026, Spain.
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16
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He Z, Luo Q, Liu Z, Gong L. Extensive evaluation of sample preparation workflow for gas chromatography-mass spectrometry-based plasma metabolomics and its application in rheumatoid arthritis. Anal Chim Acta 2020; 1131:136-145. [DOI: 10.1016/j.aca.2020.06.029] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 06/03/2020] [Accepted: 06/10/2020] [Indexed: 12/16/2022]
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17
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Liu R, Luo Q, Liu Z, Gong L. Optimizing sample preparation workflow for bioanalysis of oligonucleotides through liquid chromatography tandem mass spectrometry. J Chromatogr A 2020; 1629:461473. [PMID: 32841769 DOI: 10.1016/j.chroma.2020.461473] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 08/08/2020] [Accepted: 08/10/2020] [Indexed: 10/23/2022]
Abstract
Liquid chromatography tandem mass spectrometry has been a widely used technique for quantifying oligonucleotides in biological samples. However, lack of simple and efficient sample cleanup approach remains a challenge. Our study aimed to evaluate the major factors during the sample pretreatment process for developing optimal sample preparation workflow for oligonucleotides. In this study, we have employed a model formed with rat plasma containing a 16 mer oligonucleotide standard in order to comprehensively optimize the sample preparation procedures. These included liquid-liquid extraction (LLE), solid-phase extraction (SPE), protein precipitation (PPT) and LLE combined with SPE. LLE with phenol: dichloromethane (2:1, v:v) was found to be the most efficient sample cleanup procedure with low cost and less toxicity. Followed by the extraction, ethanol precipitation (-80 °C, 5 min) was determined to be the optimal drying conditions. Also, mass spectrometric parameters were tuned to optimal conditions. It was found that the central composite design suite was proved to be highly practical for optimizing MS parameters. Finally, the thoroughly optimized sample preparation workflow was fully validated. The developed assay provided a quantitative range of 0.25-1000 nM, with accuracy and precision were < 7.45% and < 12.20%, respectively. Matrix effect and carryover were also evaluated and no significant effect was observed.
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Affiliation(s)
- Rong Liu
- International Institute for Translational Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510006, PR China
| | - Qing Luo
- International Institute for Translational Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510006, PR China
| | - Zhongqiu Liu
- International Institute for Translational Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510006, PR China
| | - Lingzhi Gong
- International Institute for Translational Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510006, PR China.
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18
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Compensate for or Minimize Matrix Effects? Strategies for Overcoming Matrix Effects in Liquid Chromatography-Mass Spectrometry Technique: A Tutorial Review. Molecules 2020; 25:molecules25133047. [PMID: 32635301 PMCID: PMC7412464 DOI: 10.3390/molecules25133047] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 06/30/2020] [Accepted: 07/01/2020] [Indexed: 11/16/2022] Open
Abstract
In recent decades, mass spectrometry techniques, particularly when combined with separation methods such as high-performance liquid chromatography, have become increasingly important in pharmaceutical, bio-analytical, environmental, and food science applications because they afford high selectivity and sensitivity. However, mass spectrometry has limitations due to the matrix effects (ME), which can be particularly marked in complex mixes, when the analyte co-elutes together with other molecules, altering analysis results quantitatively. This may be detrimental during method validation, negatively affecting reproducibility, linearity, selectivity, accuracy, and sensitivity. Starting from literature and own experience, this review intends to provide a simple guideline for selecting the best operative conditions to overcome matrix effects in LC-MS techniques, to obtain the best result in the shortest time. The proposed methodology can be of benefit in different sectors, such as pharmaceutical, bio-analytical, environmental, and food sciences. Depending on the required sensitivity, analysts may minimize or compensate for ME. When sensitivity is crucial, analysis must try to minimize ME by adjusting MS parameters, chromatographic conditions, or optimizing clean-up. On the contrary, to compensate for ME analysts should have recourse to calibration approaches depending on the availability of blank matrix. When blank matrices are available, calibration can occur through isotope labeled internal standards and matrix matched calibration standards; conversely, when blank matrices are not available, calibration can be performed through isotope labeled internal standards, background subtraction, or surrogate matrices. In any case, an adjusting of MS parameters, chromatographic conditions, or a clean-up are necessary.
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19
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Zhang Q, Nong Y, Liu Z, Gong L. Proteinase K Combining Two-Step Liquid–Liquid Extraction for Plasma Untargeted Liquid Chromatography–Mass Spectrometry-Based Metabolomics To Discover the Potential Mechanism of Colorectal Adenoma. Anal Chem 2019; 91:14458-14466. [DOI: 10.1021/acs.analchem.9b03121] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Qisong Zhang
- International Institute for Translational Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, People’s Republic of China
- Guangdong Key Laboratory for Translational Cancer Research of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, People’s Republic of China
| | - Yanying Nong
- Guangdong Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, People’s Republic of China
| | - Zhongqiu Liu
- International Institute for Translational Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, People’s Republic of China
- Guangdong Key Laboratory for Translational Cancer Research of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, People’s Republic of China
| | - Lingzhi Gong
- International Institute for Translational Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, People’s Republic of China
- Guangdong Key Laboratory for Translational Cancer Research of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, People’s Republic of China
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20
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Camps-Bossacoma M, Garcia-Aloy M, Saldaña-Ruiz S, Cambras T, González-Domínguez R, Franch À, Pérez-Cano FJ, Andres-Lacueva C, Castell M. Role of Theobromine in Cocoa's Metabolic Properties in Healthy Rats. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2019; 67:3605-3614. [PMID: 30855143 DOI: 10.1021/acs.jafc.8b07248] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Cocoa is rich in polyphenols and methylxanthines, and it has been reported that its consumption, among other properties, has beneficial effects on metabolism. This study aimed to investigate the role of theobromine in cocoa's metabolic properties in healthy rats. In addition to morphometric measurements, biochemical markers of lipids and glucose metabolism and gene expression of molecules related to immune cells in adipose and hepatic tissues were assessed after 7 or 18 days of diet. Additionally, a metabolomic analysis was carried out at day 7. This study revealed the presence of six discriminant metabolites in plasma due to the diets. Moreover, the results showed that theobromine is the main responsible factor for cocoa's effects on body weight gain as well as on lipid and glucose metabolism. The effects on body weight and lipids appeared as early as after 7 days of diet, whereas those affecting glucose metabolism required a longer intervention.
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Affiliation(s)
- Mariona Camps-Bossacoma
- Secció de Fisiologia, Departament de Bioquímica i Fisiologia, Facultat de Farmàcia i Ciències de l'Alimentació; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB) , Universitat de Barcelona (UB) , Barcelona 08028 , Spain
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomics Laboratory, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, XaRTA, INSA-UB, Facultat de Farmàcia i Ciències de l'Alimentació, UB, Barcelona; CIBER de Fragilidad y Envejecimiento (CIBERFES) , Instituto de Salud Carlos III , Madrid 28029 , Spain
| | - Sandra Saldaña-Ruiz
- Secció de Fisiologia, Departament de Bioquímica i Fisiologia, Facultat de Farmàcia i Ciències de l'Alimentació; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB) , Universitat de Barcelona (UB) , Barcelona 08028 , Spain
| | - Trinitat Cambras
- Secció de Fisiologia, Departament de Bioquímica i Fisiologia, Facultat de Farmàcia i Ciències de l'Alimentació; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB) , Universitat de Barcelona (UB) , Barcelona 08028 , Spain
| | - Raúl González-Domínguez
- Biomarkers and Nutrimetabolomics Laboratory, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, XaRTA, INSA-UB, Facultat de Farmàcia i Ciències de l'Alimentació, UB, Barcelona; CIBER de Fragilidad y Envejecimiento (CIBERFES) , Instituto de Salud Carlos III , Madrid 28029 , Spain
| | - Àngels Franch
- Secció de Fisiologia, Departament de Bioquímica i Fisiologia, Facultat de Farmàcia i Ciències de l'Alimentació; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB) , Universitat de Barcelona (UB) , Barcelona 08028 , Spain
| | - Francisco J Pérez-Cano
- Secció de Fisiologia, Departament de Bioquímica i Fisiologia, Facultat de Farmàcia i Ciències de l'Alimentació; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB) , Universitat de Barcelona (UB) , Barcelona 08028 , Spain
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, XaRTA, INSA-UB, Facultat de Farmàcia i Ciències de l'Alimentació, UB, Barcelona; CIBER de Fragilidad y Envejecimiento (CIBERFES) , Instituto de Salud Carlos III , Madrid 28029 , Spain
| | - Margarida Castell
- Secció de Fisiologia, Departament de Bioquímica i Fisiologia, Facultat de Farmàcia i Ciències de l'Alimentació; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB) , Universitat de Barcelona (UB) , Barcelona 08028 , Spain
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21
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Chan W, Zhao Y, Zhang J. Evaluating the performance of sample preparation methods for ultra-performance liquid chromatography/mass spectrometry based serum metabonomics. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2019; 33:561-568. [PMID: 30614103 DOI: 10.1002/rcm.8381] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Revised: 12/30/2018] [Accepted: 01/01/2019] [Indexed: 06/09/2023]
Abstract
RATIONALE Metabonomics investigating perturbation to endogenous metabolism in response to external stimuli is emerging as a powerful tool for clinical diagnosis as well as in many other areas. The ability to retrieve reliable and reproducible information from complex biological fluids such as serum is crucial for its further applications. METHODS In this study, the performance of the commonly used sample preparation methods for ultra-performance liquid chromatography/mass spectrometry (UPLC/MS)-based metabonomics was investigated. Specifically, we compared the extraction efficiencies, the method reproducibility, and the ability to identify potential biomarkers using solvent-based protein precipitation and solid-phase extraction (SPE) for serum metabonomic studies. Differences between extraction methods were explored using principal component analysis (PCA) and orthogonal partial least squares-discrimination analysis (OPLS-DA). RESULTS Among the sample preparation methods tested, solvent-based protein precipitation using methanol has demonstrated the best analytical precision and extraction efficiency. Furthermore, this study revealed, for the first time, gender-specific differences in levels of two lysophosphatidylcholines (lysoPC 18:0 and lysoPC 18:1) in rat serum samples. CONCLUSIONS The performance of sample preparation methods for UPLC/MS-based serum metabonomics was evaluated systematically. Results showed sample preparation by solvent precipitation using methanol provided the best analytical precision and extraction efficiency for UPLC/MS-based serum metabonomics.
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Affiliation(s)
- Wan Chan
- Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
| | - Yao Zhao
- Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
| | - Jiayin Zhang
- Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
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22
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Untargeted Profiling of Concordant/Discordant Phenotypes of High Insulin Resistance and Obesity To Predict the Risk of Developing Diabetes. J Proteome Res 2018; 17:2307-2317. [PMID: 29905079 DOI: 10.1021/acs.jproteome.7b00855] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
This study explores the metabolic profiles of concordant/discordant phenotypes of high insulin resistance (IR) and obesity. Through untargeted metabolomics (LC-ESI-QTOF-MS), we analyzed the fasting serum of subjects with high IR and/or obesity ( n = 64). An partial least-squares discriminant analysis with orthogonal signal correction followed by univariate statistics and enrichment analysis allowed exploration of these metabolic profiles. A multivariate regression method (LASSO) was used for variable selection and a predictive biomarker model to identify subjects with high IR regardless of obesity was built. Adrenic acid and a dyglyceride (DG) were shared by high IR and obesity. Uric and margaric acids, 14 DGs, ketocholesterol, and hydroxycorticosterone were unique to high IR, while arachidonic, hydroxyeicosatetraenoic (HETE), palmitoleic, triHETE, and glycocholic acids, HETE lactone, leukotriene B4, and two glutamyl-peptides to obesity. DGs and adrenic acid differed in concordant/discordant phenotypes, thereby revealing protective mechanisms against high IR also in obesity. A biomarker model formed by DGs, uric and adrenic acids presented a high predictive power to identify subjects with high IR [AUC 80.1% (68.9-91.4)]. These findings could become relevant for diabetes risk detection and unveil new potential targets in therapeutic treatments of IR, diabetes, and obesity. An independent validated cohort is needed to confirm these results.
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Palau-Rodriguez M, Tulipani S, Marco-Ramell A, Miñarro A, Jauregui O, Gonzalez-Dominguez R, Sanchez-Pla A, Ramos-Molina B, Tinahones FJ, Andres-Lacueva C. Characterization of Metabolomic Profile Associated with Metabolic Improvement after Bariatric Surgery in Subjects with Morbid Obesity. J Proteome Res 2018; 17:2704-2714. [DOI: 10.1021/acs.jproteome.8b00144] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Magali Palau-Rodriguez
- Biomarkers & Nutrimetabolomic Lab, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA-UB, Campus Torribera, Pharmacy and Food Science Faculty, University of Barcelona, 08028 Barcelona, Spain
- CIBER Fragilidad y Envejecimiento Saludable [CIBERfes], Instituto de Salud Carlos III [ISCIII], 28029 Madrid, Spain
| | - Sara Tulipani
- Biomarkers & Nutrimetabolomic Lab, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA-UB, Campus Torribera, Pharmacy and Food Science Faculty, University of Barcelona, 08028 Barcelona, Spain
- Biomedical Research Institute [IBIMA], Service of Endocrinology and Nutrition, Malaga Hospital Complex [Virgen de la Victoria], Campus de Teatinos s/n, 29010 Malaga, Spain
| | - Anna Marco-Ramell
- Biomarkers & Nutrimetabolomic Lab, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA-UB, Campus Torribera, Pharmacy and Food Science Faculty, University of Barcelona, 08028 Barcelona, Spain
- CIBER Fragilidad y Envejecimiento Saludable [CIBERfes], Instituto de Salud Carlos III [ISCIII], 28029 Madrid, Spain
| | - Antonio Miñarro
- Genetics, Microbiology and Statistics Department, Biology Faculty, University of Barcelona, 08028 Barcelona, Spain
| | - Olga Jauregui
- Biomarkers & Nutrimetabolomic Lab, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA-UB, Campus Torribera, Pharmacy and Food Science Faculty, University of Barcelona, 08028 Barcelona, Spain
- Scientific and Technological Centres of the University of Barcelona (CCIT-UB), 08028 Barcelona, Spain
| | - Raul Gonzalez-Dominguez
- Biomarkers & Nutrimetabolomic Lab, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA-UB, Campus Torribera, Pharmacy and Food Science Faculty, University of Barcelona, 08028 Barcelona, Spain
- CIBER Fragilidad y Envejecimiento Saludable [CIBERfes], Instituto de Salud Carlos III [ISCIII], 28029 Madrid, Spain
| | - Alex Sanchez-Pla
- Genetics, Microbiology and Statistics Department, Biology Faculty, University of Barcelona, 08028 Barcelona, Spain
- Statistics and Bioinformatics Unit, Vall d’Hebron Institut de Recerca [VHIR], 08035 Barcelona, Spain
| | - Bruno Ramos-Molina
- Biomedical Research Institute [IBIMA], Service of Endocrinology and Nutrition, Malaga Hospital Complex [Virgen de la Victoria], Campus de Teatinos s/n, 29010 Malaga, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición [CIBERobn], Instituto de Salud Carlos III [ISCIII], 28029 Barcelona, Spain
| | - Francisco J. Tinahones
- Biomedical Research Institute [IBIMA], Service of Endocrinology and Nutrition, Malaga Hospital Complex [Virgen de la Victoria], Campus de Teatinos s/n, 29010 Malaga, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición [CIBERobn], Instituto de Salud Carlos III [ISCIII], 28029 Barcelona, Spain
| | - Cristina Andres-Lacueva
- Biomarkers & Nutrimetabolomic Lab, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA-UB, Campus Torribera, Pharmacy and Food Science Faculty, University of Barcelona, 08028 Barcelona, Spain
- CIBER Fragilidad y Envejecimiento Saludable [CIBERfes], Instituto de Salud Carlos III [ISCIII], 28029 Madrid, Spain
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Metabotypes of response to bariatric surgery independent of the magnitude of weight loss. PLoS One 2018; 13:e0198214. [PMID: 29856816 PMCID: PMC5983508 DOI: 10.1371/journal.pone.0198214] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Accepted: 05/15/2018] [Indexed: 12/18/2022] Open
Abstract
Objective Bariatric surgery is considered the most efficient treatment for morbid obesity and its related diseases. However, its role as a metabolic modifier is not well understood. We aimed to determine biosignatures of response to bariatric surgery and elucidate short-term metabolic adaptations. Methods We used a LC- and FIA-ESI-MS/MS approach to quantify acylcarnitines, (lyso)phosphatidylcholines, sphingomyelins, amino acids, biogenic amines and hexoses in serum samples of subjects with morbid obesity (n = 39) before and 1, 3 and 6 months after bariatric surgery. K-means cluster analysis allowed to distinguish metabotypes of response to bariatric surgery. Results For the first time, global metabolic changes following bariatric surgery independent of the baseline health status of the subjects have been revealed. We identify two metabolic phenotypes (metabotypes) at the interval 6 months-baseline after surgery, which presented differences in the levels of compounds of urea metabolism, gluconeogenic precursors and (lyso)phospholipid particles. Clinically, metabotypes were different in terms of the degree of improvement in insulin resistance, cholesterol, low-density lipoproteins and uric acid independent of the magnitude of weight loss. Conclusions This study opens new perspectives and new hypotheses on the metabolic benefits of bariatric surgery and understanding of the biology of obesity and its associated diseases.
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Drouin N, Rudaz S, Schappler J. Sample preparation for polar metabolites in bioanalysis. Analyst 2018; 143:16-20. [DOI: 10.1039/c7an01333g] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Sample preparation is a primary step of any bioanalytical workflow, especially in metabolomics where maximum information has to be obtained without spoiling the analytical instrument. The sample extraction of polar metabolites is still challenging but strategies exist to enable the phase transfer of hydrophilic metabolites from the biological phase to a clean interference-free phase.
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Affiliation(s)
- Nicolas Drouin
- School of Pharmaceutical Sciences
- University of Geneva
- University of Lausanne
- 1211 Geneva 4
- Switzerland
| | - Serge Rudaz
- School of Pharmaceutical Sciences
- University of Geneva
- University of Lausanne
- 1211 Geneva 4
- Switzerland
| | - Julie Schappler
- School of Pharmaceutical Sciences
- University of Geneva
- University of Lausanne
- 1211 Geneva 4
- Switzerland
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Flieger J, Tatarczak-Michalewska M, Kowalska A, Madejska A, Śniegocki T, Sroka-Bartnicka A, Szymańska-Chargot M. Effective phospholipid removal from plasma samples by solid phase extraction with the use of copper (II) modified silica gel cartridges. J Chromatogr B Analyt Technol Biomed Life Sci 2017; 1070:1-6. [DOI: 10.1016/j.jchromb.2017.10.021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2017] [Revised: 09/08/2017] [Accepted: 10/09/2017] [Indexed: 01/08/2023]
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Yan Y, Song Q, Chen X, Li J, Li P, Wang Y, Liu T, Song Y, Tu P. Simultaneous determination of components with wide polarity and content ranges in Cistanche tubulosa using serially coupled reverse phase-hydrophilic interaction chromatography-tandem mass spectrometry. J Chromatogr A 2017; 1501:39-50. [DOI: 10.1016/j.chroma.2017.04.034] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Revised: 04/07/2017] [Accepted: 04/13/2017] [Indexed: 11/29/2022]
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Simultaneous metabolomics and lipidomics analysis based on novel heart-cutting two-dimensional liquid chromatography-mass spectrometry. Anal Chim Acta 2017; 966:34-40. [PMID: 28372724 DOI: 10.1016/j.aca.2017.03.004] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Revised: 02/01/2017] [Accepted: 03/02/2017] [Indexed: 11/21/2022]
Abstract
Increasing metabolite coverage by combining data from different platforms or methods can improve understanding of related metabolic mechanisms and the identification of biomarkers. However, no one method can obtain metabolomic and lipidomic information in a single analysis. In this work, aiming at collecting comprehensive information on metabolome and lipidome in a single analytical run, we developed an on-line heart-cutting two-dimensional liquid chromatography-mass spectrometry (2D-LC-MS) method. Complex metabolites from biological samples are divided into two fractions by using a precolumn. The first fraction is directly transferred and subjected to metabolomics analysis. Most lipids are retained on the precolumn until the mobile phases for lipidomics flow through; then they are subjected to lipidomics analysis. Up to 447 and 289 metabolites in plasma, including amino acids, carnitines, bile acids, free fatty acids, lyso-phospholipids, phospholipids, sphingomyelins etc. were identified within 30 min in the positive mode and negative mode, respectively. A comparison of the newly developed method with the conventional metabolomic and lipidomic approaches showed that approximately 99% features obtained by the two conventional methods can be covered with this 2D-LC method. Analytical characteristics evaluation showed the method had a wide linearity range, high sensitivity, satisfactory recovery and repeatability. These results demonstrate that this method is reliable, stable and well qualified in metabolomics analysis, particularly for large-scale metabolomics studies with small amount of samples.
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Chibwe L, Titaley IA, Hoh E, Massey Simonich SL. Integrated Framework for Identifying Toxic Transformation Products in Complex Environmental Mixtures. ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS 2017; 4:32-43. [PMID: 35600207 PMCID: PMC9119311 DOI: 10.1021/acs.estlett.6b00455] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Complex environmental mixtures consist of hundreds to thousands of unknown and unregulated organic compounds that may have toxicological relevance, including transformation products (TPs) of anthropogenic organic pollutants. Non-targeted analysis and suspect screening analysis offer analytical approaches for potentially identifying these toxic transformation products. However, additional tools and strategies are needed in order to reduce the number of chemicals of interest and focus analytical efforts on chemicals that may pose risks to humans and the environment. This brief review highlights recent developments in this field and suggests an integrated framework that incorporates complementary instrumental techniques, computational chemistry, and toxicity analysis, for prioritizing and identifying toxic TPs in the environment.
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Affiliation(s)
- Leah Chibwe
- Department of Chemistry, Oregon State University, Corvallis, OR, 97331, USA
| | - Ivan A. Titaley
- Department of Chemistry, Oregon State University, Corvallis, OR, 97331, USA
| | - Eunha Hoh
- Graduate School of Public Health, San Diego State University, San Diego, CA, 92182, USA
| | - Staci L. Massey Simonich
- Department of Chemistry, Oregon State University, Corvallis, OR, 97331, USA
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR 97331, USA
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Collection and Preparation of Clinical Samples for Metabolomics. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2017; 965:19-44. [DOI: 10.1007/978-3-319-47656-8_2] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Sitnikov DG, Monnin CS, Vuckovic D. Systematic Assessment of Seven Solvent and Solid-Phase Extraction Methods for Metabolomics Analysis of Human Plasma by LC-MS. Sci Rep 2016; 6:38885. [PMID: 28000704 PMCID: PMC5175266 DOI: 10.1038/srep38885] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Accepted: 11/10/2016] [Indexed: 12/28/2022] Open
Abstract
The comparison of extraction methods for global metabolomics is usually executed in biofluids only and focuses on metabolite coverage and method repeatability. This limits our detailed understanding of extraction parameters such as recovery and matrix effects and prevents side-by-side comparison of different sample preparation strategies. To address this gap in knowledge, seven solvent-based and solid-phase extraction methods were systematically evaluated using standard analytes spiked into both buffer and human plasma. We compared recovery, coverage, repeatability, matrix effects, selectivity and orthogonality of all methods tested for non-lipid metabolome in combination with reversed-phased and mixed-mode liquid chromatography mass spectrometry analysis (LC-MS). Our results confirmed wide selectivity and excellent precision of solvent precipitations, but revealed their high susceptibility to matrix effects. The use of all seven methods showed high overlap and redundancy which resulted in metabolite coverage increases of 34-80% depending on LC-MS method employed as compared to the best single extraction protocol (methanol/ethanol precipitation) despite 7x increase in MS analysis time and sample consumption. The most orthogonal methods to methanol-based precipitation were ion-exchange solid-phase extraction and liquid-liquid extraction using methyl-tertbutyl ether. Our results help facilitate rational design and selection of sample preparation methods and internal standards for global metabolomics.
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Affiliation(s)
- Dmitri G. Sitnikov
- Department of Chemistry and Biochemistry, Concordia University, 7141 Sherbrooke St. W., Montréal, Québec, H4B 1R6, Canada
- PERFORM Centre, Concordia University, 7141 Sherbrooke St. W., Montréal, Québec, H4B 1R6, Canada
| | - Cian S. Monnin
- Department of Chemistry and Biochemistry, Concordia University, 7141 Sherbrooke St. W., Montréal, Québec, H4B 1R6, Canada
| | - Dajana Vuckovic
- Department of Chemistry and Biochemistry, Concordia University, 7141 Sherbrooke St. W., Montréal, Québec, H4B 1R6, Canada
- PERFORM Centre, Concordia University, 7141 Sherbrooke St. W., Montréal, Québec, H4B 1R6, Canada
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Ortmayr K, Causon TJ, Hann S, Koellensperger G. Increasing selectivity and coverage in LC-MS based metabolome analysis. Trends Analyt Chem 2016. [DOI: 10.1016/j.trac.2016.06.011] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Methods used to increase the comprehensive coverage of urinary and plasma metabolomes by MS. Bioanalysis 2016; 8:981-97. [DOI: 10.4155/bio-2015-0010] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Metabolomics, focusing on comprehensive analysis of all the metabolites in a biological system, provides a direct signature of biochemical activity. Using emerging technologies in MS, it is possible to simultaneously and rapidly analyze thousands of metabolites. However, due to the chemical and physical diversity of metabolites, it is difficult to acquire a comprehensive and reliable profiling of the whole metabolome. Here, we summarize the state of the art in metabolomics research, focusing on efforts to provide a more comprehensive metabolome coverage via improvements in two fundamental processes: sample preparation and MS analysis. Additionally, the reliable analysis is also highlighted via the combinations of multiple methods (e.g., targeted and untargeted approaches), and analytical quality control and calibration methods.
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Carmical J, Brown S. The impact of phospholipids and phospholipid removal on bioanalytical method performance. Biomed Chromatogr 2016; 30:710-20. [DOI: 10.1002/bmc.3686] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Revised: 01/11/2016] [Accepted: 01/13/2016] [Indexed: 01/19/2023]
Affiliation(s)
- Jennifer Carmical
- Bill Gatton College of Pharmacy, East Tennessee State University; Department of Pharmaceutical Sciences; Johnson City TN 37614 USA
| | - Stacy Brown
- Bill Gatton College of Pharmacy, East Tennessee State University; Department of Pharmaceutical Sciences; Johnson City TN 37614 USA
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Li Z, Tatlay J, Li L. Nanoflow LC–MS for High-Performance Chemical Isotope Labeling Quantitative Metabolomics. Anal Chem 2015; 87:11468-74. [DOI: 10.1021/acs.analchem.5b03209] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Zhendong Li
- Department of Chemistry, University of Alberta, Edmonton, Alberta T6G, Canada
| | - Jaspaul Tatlay
- Department of Chemistry, University of Alberta, Edmonton, Alberta T6G, Canada
| | - Liang Li
- Department of Chemistry, University of Alberta, Edmonton, Alberta T6G, Canada
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Mora-Cubillos X, Tulipani S, Garcia-Aloy M, Bulló M, Tinahones FJ, Andres-Lacueva C. Plasma metabolomic biomarkers of mixed nuts exposure inversely correlate with severity of metabolic syndrome. Mol Nutr Food Res 2015; 59:2480-90. [DOI: 10.1002/mnfr.201500549] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Revised: 09/08/2015] [Accepted: 09/10/2015] [Indexed: 01/30/2023]
Affiliation(s)
- Ximena Mora-Cubillos
- Biomarkers & Nutrimetabolomic Lab; Department of Nutrition and Food Science, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy; University of Barcelona; Barcelona Spain
| | - Sara Tulipani
- Biomarkers & Nutrimetabolomic Lab; Department of Nutrition and Food Science, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy; University of Barcelona; Barcelona Spain
- Biomedical Research Institute (IBIMA); Service of Endocrinology and Nutrition; Málaga Hospital Complex (Virgen de la Victoria), Campus de Teatinos s/n; University of Málaga; Málaga Spain
| | - Mar Garcia-Aloy
- Biomarkers & Nutrimetabolomic Lab; Department of Nutrition and Food Science, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy; University of Barcelona; Barcelona Spain
| | - Mònica Bulló
- Human Nutrition Unit; Faculty of Medicine and Health Sciences; IISPV; Universitat Rovira i Virgili; Reus Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn); Instituto de Salud Carlos III (ISCIII); Madrid Spain
| | - Francisco J Tinahones
- Biomedical Research Institute (IBIMA); Service of Endocrinology and Nutrition; Málaga Hospital Complex (Virgen de la Victoria), Campus de Teatinos s/n; University of Málaga; Málaga Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn); Instituto de Salud Carlos III (ISCIII); Madrid Spain
| | - Cristina Andres-Lacueva
- Biomarkers & Nutrimetabolomic Lab; Department of Nutrition and Food Science, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy; University of Barcelona; Barcelona Spain
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