1
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Ma X, Bai C, Gao X, Duan X, Gu X, Li Y, Huang C, Yang J, Hu K. Identifying ligands directly interacting with target protein in medicinal herbs by metabolomic analysis of T2-filtered HSQC spectra. J Pharm Biomed Anal 2024; 248:116329. [PMID: 38959759 DOI: 10.1016/j.jpba.2024.116329] [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: 02/22/2024] [Revised: 06/12/2024] [Accepted: 06/26/2024] [Indexed: 07/05/2024]
Abstract
A protocol for efficiently identifying ligands directly interacting with a target protein in complex extracts of medicinal herbs was proposed by combining an adapted 2D perfect-echo Carr-Purcell-Meiboom-Gill heteronuclear single quantum correlation (PE-CPMG HSQC) spectrum with metabolomic analysis. PE-CPMG HSQC can suppress the signal interference from the target protein, allowing more accurate peak quantification than conventional HSQC. Inspired from untargeted metabolomics, regions of interest (ROIs) are constructed and quantified for the mixture or complex extract samples with and without a target protein, and then a binding index (BI) of each ROI is determined. ROIs or corresponding peaks significantly perturbed by the presence of the target protein (BI ≥1.5) are detected as differential features, and potential binding ligands identified from the differential features can be equated with bioactive markers associated with the 'treatment' of the target protein. Quantifying ROI can inclusively report the ligand bindings to a target protein in fast, intermediate and slow exchange regimes on nuclear magnetic resonance (NMR) time scale. The approach was successfully implemented and identified Angoroside C, Cinnamic acid and Harpagoside from the extract of Scrophularia ningpoensis Hemsl. as ligands binding to peroxisome proliferator-activated receptor γ. The proposed 2D NMR-based approach saves excess steps for sample processing and has a higher chance of detecting the weaker ligands in the complex extracts of medicinal herbs. We expect that this approach can be applied as an alternative to mining the potential ligands binding to a variety of target proteins from traditional Chinese medicines and herbal extracts.
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Affiliation(s)
- Xiaofang Ma
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China; Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China
| | - Caihong Bai
- School of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China
| | - Xiaoyan Gao
- Department of TCM Chemistry, School of Pharmacy, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Shanghai 201203, China
| | - Xiaohui Duan
- Department of TCM Chemistry, School of Pharmacy, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Shanghai 201203, China
| | - Xiu Gu
- Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China
| | - Yiming Li
- Department of TCM Chemistry, School of Pharmacy, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Shanghai 201203, China
| | - Cheng Huang
- Department of TCM Chemistry, School of Pharmacy, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Shanghai 201203, China.
| | - Jiahui Yang
- School of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China.
| | - Kaifeng Hu
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China; Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China.
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2
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McKay RT. Metabolomics and NMR. Handb Exp Pharmacol 2023; 277:73-116. [PMID: 36355220 DOI: 10.1007/164_2022_616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The purpose of this manuscript will be to convince the reader to dive deeper into NMR spectroscopy and prevent the technique from being just another "black-box" in the lab. We will try to concisely highlight interesting topics and supply additional references for further exploration at each stage. The advantages of delving into the technique will be shown. The secondary objective, i.e., avoiding common problems before starting, will hopefully then become clear. Lastly, we will emphasize the spectrometer information needed for manuscript reporting to allow reproduction of results and confirm findings.
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Affiliation(s)
- Ryan T McKay
- Department Chemistry, College of Natural and Applied Sciences, University of Alberta, Edmonton, AB, Canada.
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3
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Vanhove K, Derveaux E, Mesotten L, Thomeer M, Criel M, Mariën H, Adriaensens P. Unraveling the Rewired Metabolism in Lung Cancer Using Quantitative NMR Metabolomics. Int J Mol Sci 2022; 23:ijms23105602. [PMID: 35628415 PMCID: PMC9146819 DOI: 10.3390/ijms23105602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 05/14/2022] [Accepted: 05/15/2022] [Indexed: 11/16/2022] Open
Abstract
Lung cancer cells are well documented to rewire their metabolism and energy production networks to enable proliferation and survival in a nutrient-poor and hypoxic environment. Although metabolite profiling of blood plasma and tissue is still emerging in omics approaches, several techniques have shown potential in cancer diagnosis. In this paper, the authors describe the alterations in the metabolic phenotype of lung cancer patients. In addition, we focus on the metabolic cooperation between tumor cells and healthy tissue. Furthermore, the authors discuss how metabolomics could improve the management of lung cancer patients.
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Affiliation(s)
- Karolien Vanhove
- Applied and Analytical Chemistry, Institute for Materials Research, Hasselt University, Agoralaan 1-Building D, B-3590 Diepenbeek, Belgium;
- Department of Respiratory Medicine, AZ Vesalius, Hazelereik 51, B-3700 Tongeren, Belgium
- Correspondence:
| | - Elien Derveaux
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, B-3500 Hasselt, Belgium; (E.D.); (H.M.)
| | - Liesbet Mesotten
- Department of Nuclear Medicine, Ziekenhuis Oost-Limburg, Schiepse Bos 6, B-3600 Genk, Belgium;
| | - Michiel Thomeer
- Department of Respiratory Medicine, Ziekenhuis Oost-Limburg, Schiepse Bos 6, B-3600 Genk, Belgium; (M.T.); (M.C.)
| | - Maarten Criel
- Department of Respiratory Medicine, Ziekenhuis Oost-Limburg, Schiepse Bos 6, B-3600 Genk, Belgium; (M.T.); (M.C.)
| | - Hanne Mariën
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, B-3500 Hasselt, Belgium; (E.D.); (H.M.)
| | - Peter Adriaensens
- Applied and Analytical Chemistry, Institute for Materials Research, Hasselt University, Agoralaan 1-Building D, B-3590 Diepenbeek, Belgium;
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4
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Marino C, Grimaldi M, Sabatini P, Amato P, Pallavicino A, Ricciardelli C, D’Ursi AM. Fibromyalgia and Depression in Women: An 1H-NMR Metabolomic Study. Metabolites 2021; 11:429. [PMID: 34209136 PMCID: PMC8304744 DOI: 10.3390/metabo11070429] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/15/2021] [Accepted: 06/23/2021] [Indexed: 12/18/2022] Open
Abstract
Fibromyalgia is a chronic and systemic syndrome characterized by muscle, bone, and joint pain. It is a gender-specific condition with a 9:1 incidence ratio between women and men. Fibromyalgia is frequently associated with psychic disorders affecting the cognitive and emotional spheres. In the reported work, we compared 31 female fibromyalgia patients to 31 female healthy controls. They were analyzed for biochemical clinical parameters, for autoimmune markers, and were subjected to 1H-NMR metabolomics analysis. To identify a correlation between the metabolomic profile and the psychic condition, a subset of 19 fibromyalgia patients was subjected to HAM-A and HAM-D Hamilton depression tests. Multivariate statistical analysis showed the dysmetabolism of several metabolites involved in energy balance that are associated with systemic inflammatory conditions. The severity of depression worsens dysmetabolic conditions; conversely, glycine and glutamate, known for their critical role as neuromodulators, appear to be potential biomarkers of fibromyalgia and are associated with different severity depression conditions.
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Affiliation(s)
- Carmen Marino
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, Italy; (C.M.); (M.G.); (A.P.); (C.R.)
| | - Manuela Grimaldi
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, Italy; (C.M.); (M.G.); (A.P.); (C.R.)
| | - Paola Sabatini
- U.O.C. Clinical Pathology D.E.A. III Umberto I, Viale S. Francesco D’Assisi, 84014 Nocera Inferiore, Italy;
| | - Patrizia Amato
- ASL Ser. T Cava de’ Tirreni, Piazza Matteo Galdi 1/3, 84013 Pregiato, Italy;
| | - Arianna Pallavicino
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, Italy; (C.M.); (M.G.); (A.P.); (C.R.)
| | - Carmen Ricciardelli
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, Italy; (C.M.); (M.G.); (A.P.); (C.R.)
| | - Anna Maria D’Ursi
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, Italy; (C.M.); (M.G.); (A.P.); (C.R.)
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5
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Castaldo G, Pagano I, Grimaldi M, Marino C, Molettieri P, Santoro A, Stillitano I, Romano R, Montoro P, D’Ursi AM, Rastrelli L. Effect of Very-Low-Calorie Ketogenic Diet on Psoriasis Patients: A Nuclear Magnetic Resonance-Based Metabolomic Study. J Proteome Res 2021; 20:1509-1521. [PMID: 33164516 PMCID: PMC8016365 DOI: 10.1021/acs.jproteome.0c00646] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Indexed: 12/15/2022]
Abstract
Psoriasis is an inflammatory disease of the epidermis based on an immunological mechanism involving Langerhans cells and T lymphocytes that produce pro-inflammatory cytokines. Genetic factors, environmental factors, and improper nutrition are considered triggers of the disease. Numerous studies have reported that in a high number of patients, psoriasis is associated with obesity. Excess adipose tissue, typical of obesity, causes a systemic inflammatory status coming from the inflammatory active adipose tissue; therefore, weight reduction is a strategy to fight this pro-inflammatory state. This study aimed to evaluate how a nutritional regimen based on a ketogenic diet influenced the clinical parameters, metabolic profile, and inflammatory state of psoriasis patients. To this end, 30 psoriasis patients were subjected to a ketogenic nutritional regimen and monitored for 4 weeks by evaluating the clinical data, biochemical and clinical parameters, NMR metabolomic profile, and IL-2, IL-1β, TNF-α, IFN-γ, and IL-4 concentrations before and after the nutritional regimen. Our data show that a low-calorie ketogenic diet can be considered a successful strategy and therapeutic option to gain an improvement in psoriasis-related dysmetabolism, with significant correction of the full metabolic and inflammatory status.
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Affiliation(s)
- Giuseppe Castaldo
- NutriKeto_LAB
Unisa−“San Giuseppe Moscati” National Hospital
(AORN), Contrada Amoretta, 83100 Avellino, Avellino, Italy
| | - Imma Pagano
- NutriKeto_LAB
Unisa−“San Giuseppe Moscati” National Hospital
(AORN), Contrada Amoretta, 83100 Avellino, Avellino, Italy
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Manuela Grimaldi
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Carmen Marino
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Paola Molettieri
- NutriKeto_LAB
Unisa−“San Giuseppe Moscati” National Hospital
(AORN), Contrada Amoretta, 83100 Avellino, Avellino, Italy
| | - Angelo Santoro
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Ilaria Stillitano
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Rocco Romano
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Paola Montoro
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Anna Maria D’Ursi
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Luca Rastrelli
- NutriKeto_LAB
Unisa−“San Giuseppe Moscati” National Hospital
(AORN), Contrada Amoretta, 83100 Avellino, Avellino, Italy
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
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6
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Aiello F, Gerretzen J, Simons MG, Davies AN, Dani P. A multivariate approach to investigate the NMR CPMG pulse sequence for analysing low MW species in polymers. MAGNETIC RESONANCE IN CHEMISTRY : MRC 2021; 59:172-186. [PMID: 32929750 DOI: 10.1002/mrc.5100] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 09/10/2020] [Accepted: 09/10/2020] [Indexed: 06/11/2023]
Abstract
Detection and quantification of low molecular weight components in polymeric samples via nuclear magnetic resonance (NMR) spectroscopy can be difficult due to overlapping signal caused by line broadening characteristics of polymers. A way of overcoming this problem could be the exploitation of the difference in relaxation between small molecules and macromolecular species, such as the application of a T2 filter by using the Carr-Purcell-Meiboom-Gill (CPMG) spin-echo pulse sequence. This technique, largely exploited in metabolomics studies, is applied here to material sciences. A Design of Experiments approach was used for evaluating the effect of different acquisition parameters (relaxation delay, echo time and number of cycles) and sample-related ones (concentration and polymer molecular weight) on selected responses, with a particular interest in performing a reliable quantitative analysis. Polymeric samples containing small molecules were analysed by NMR with and without the application of the filter, and analysis of variance was used to identify the most influential parameters. Results indicated that increasing the polymer concentration, hence sample viscosity, further attenuates polymer signals in CPMG experiments because the T2 of those signals tends to decrease with increasing viscosity. The signal-to-noise ratio measured for small molecules can undergo a minimum loss when specific parameters are chosen in relation to the polymer molecular weight. Furthermore, the difference in dynamics between aliphatic and aromatic nuclei, as well as between mobile and stiff polymers, translates into different results in terms of polymer signal reduction, suggesting that the relaxation filter can also be used for obtaining information on the polymer structure.
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Affiliation(s)
- Federica Aiello
- ECG-MAS, Expert Capability Group - Measurement and Analytical Science, Nouryon Chemicals B.V., Deventer, The Netherlands
| | - Jan Gerretzen
- ECG-MAS, Expert Capability Group - Measurement and Analytical Science, Nouryon Chemicals B.V., Deventer, The Netherlands
| | - Marcel G Simons
- ECG-MAS, Expert Capability Group - Measurement and Analytical Science, Nouryon Chemicals B.V., Deventer, The Netherlands
| | - Antony N Davies
- ECG-MAS, Expert Capability Group - Measurement and Analytical Science, Nouryon Chemicals B.V., Deventer, The Netherlands
- SERC, Sustainable Environment Research Centre, Faculty of Computing Engineering and Science, University of South Wales, Pontypridd, UK
| | - Paulo Dani
- ECG-MAS, Expert Capability Group - Measurement and Analytical Science, Nouryon Chemicals B.V., Deventer, The Netherlands
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7
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Wenger KJ, Richter C, Burger MC, Urban H, Kaulfuss S, Harter PN, Sreeramulu S, Schwalbe H, Steinbach JP, Hattingen E, Bähr O, Pilatus U. Non-Invasive Measurement of Drug and 2-HG Signals Using 19F and 1H MR Spectroscopy in Brain Tumors Treated with the Mutant IDH1 Inhibitor BAY1436032. Cancers (Basel) 2020; 12:cancers12113175. [PMID: 33138036 PMCID: PMC7692790 DOI: 10.3390/cancers12113175] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 10/14/2020] [Accepted: 10/25/2020] [Indexed: 12/19/2022] Open
Abstract
Simple Summary Targeted therapies are of growing interest to physicians in cancer treatment. These drugs target specific genes and proteins involved in the growth and survival of cancer cells. Brain tumor therapy is complicated by the fact that not all drugs can penetrate the blood brain barrier and reach their target. We explored the non-invasive method, Magnetic Resonance Spectroscopy, for monitoring drug penetration and its effects in live animals bearing brain tumors. We were able to show the presence of the investigated drug in mouse brains and its on-target activity. Abstract Background: BAY1436032 is a fluorine-containing inhibitor of the R132X-mutant isocitrate dehydrogenase (mIDH1). It inhibits the mIDH1-mediated production of 2-hydroxyglutarate (2-HG) in glioma cells. We investigated brain penetration of BAY1436032 and its effects using 1H/19F-Magnetic Resonance Spectroscopy (MRS). Methods: 19F-Nuclear Magnetic Resonance (NMR) Spectroscopy was conducted on serum samples from patients treated with BAY1436032 (NCT02746081 trial) in order to analyze 19F spectroscopic signal patterns and concentration-time dynamics of protein-bound inhibitor to facilitate their identification in vivo MRS experiments. Hereafter, 30 mice were implanted with three glioma cell lines (LNT-229, LNT-229 IDH1-R132H, GL261). Mice bearing the IDH-mutated glioma cells received 5 days of treatment with BAY1436032 between baseline and follow-up 1H/19F-MRS scan. All other animals underwent a single scan after BAY1436032 administration. Mouse brains were analyzed by liquid chromatography-mass spectrometry (LC-MS/MS). Results: Evaluation of 1H-MRS data showed a decrease in 2-HG/total creatinine (tCr) ratios from the baseline to post-treatment scans in the mIDH1 murine model. Whole brain concentration of BAY1436032, as determined by 19F-MRS, was similar to total brain tissue concentration determined by Liquid Chromatography with tandem mass spectrometry (LC-MS/MS), with a signal loss due to protein binding. Intratumoral drug concentration, as determined by LC-MS/MS, was not statistically different in models with or without R132X-mutant IDH1 expression. Conclusions: Non-invasive monitoring of mIDH1 inhibition by BAY1436032 in mIDH1 gliomas is feasible.
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Affiliation(s)
- Katharina J. Wenger
- Institute of Neuroradiology, University Hospital Frankfurt, 60528 Frankfurt am Main, Germany; (E.H.); (U.P.)
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60590 Frankfurt am Main, Germany; (C.R.); (M.C.B.); (H.U.); (P.N.H.); (S.S.); (H.S.); (J.P.S.); (O.B.)
- Correspondence: ; Tel.: +49-69-6301-80407
| | - Christian Richter
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60590 Frankfurt am Main, Germany; (C.R.); (M.C.B.); (H.U.); (P.N.H.); (S.S.); (H.S.); (J.P.S.); (O.B.)
- Institute for Organic Chemistry and Chemical Biology, Center for Biomolecular Magnetic Resonance (BMRZ), Goethe University, 60438 Frankfurt am Main, Germany
| | - Michael C. Burger
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60590 Frankfurt am Main, Germany; (C.R.); (M.C.B.); (H.U.); (P.N.H.); (S.S.); (H.S.); (J.P.S.); (O.B.)
- Department of Neurooncology, University Hospital Frankfurt, 60528 Frankfurt am Main, Germany
| | - Hans Urban
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60590 Frankfurt am Main, Germany; (C.R.); (M.C.B.); (H.U.); (P.N.H.); (S.S.); (H.S.); (J.P.S.); (O.B.)
- Department of Neurooncology, University Hospital Frankfurt, 60528 Frankfurt am Main, Germany
| | - Stefan Kaulfuss
- Bayer AG, Research & Development, Pharmaceuticals, 13353 Berlin, Germany;
| | - Patrick N. Harter
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60590 Frankfurt am Main, Germany; (C.R.); (M.C.B.); (H.U.); (P.N.H.); (S.S.); (H.S.); (J.P.S.); (O.B.)
- Neuropathological Institute (Edinger-Institute), University Hospital Frankfurt, 60528 Frankfurt am Main, Germany
- Frankfurt Cancer Institute (FCI), 60596 Frankfurt am Main, Germany
| | - Sridhar Sreeramulu
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60590 Frankfurt am Main, Germany; (C.R.); (M.C.B.); (H.U.); (P.N.H.); (S.S.); (H.S.); (J.P.S.); (O.B.)
- Institute for Organic Chemistry and Chemical Biology, Center for Biomolecular Magnetic Resonance (BMRZ), Goethe University, 60438 Frankfurt am Main, Germany
| | - Harald Schwalbe
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60590 Frankfurt am Main, Germany; (C.R.); (M.C.B.); (H.U.); (P.N.H.); (S.S.); (H.S.); (J.P.S.); (O.B.)
- Institute for Organic Chemistry and Chemical Biology, Center for Biomolecular Magnetic Resonance (BMRZ), Goethe University, 60438 Frankfurt am Main, Germany
| | - Joachim P. Steinbach
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60590 Frankfurt am Main, Germany; (C.R.); (M.C.B.); (H.U.); (P.N.H.); (S.S.); (H.S.); (J.P.S.); (O.B.)
- Department of Neurooncology, University Hospital Frankfurt, 60528 Frankfurt am Main, Germany
| | - Elke Hattingen
- Institute of Neuroradiology, University Hospital Frankfurt, 60528 Frankfurt am Main, Germany; (E.H.); (U.P.)
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60590 Frankfurt am Main, Germany; (C.R.); (M.C.B.); (H.U.); (P.N.H.); (S.S.); (H.S.); (J.P.S.); (O.B.)
| | - Oliver Bähr
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60590 Frankfurt am Main, Germany; (C.R.); (M.C.B.); (H.U.); (P.N.H.); (S.S.); (H.S.); (J.P.S.); (O.B.)
- Department of Neurooncology, University Hospital Frankfurt, 60528 Frankfurt am Main, Germany
| | - Ulrich Pilatus
- Institute of Neuroradiology, University Hospital Frankfurt, 60528 Frankfurt am Main, Germany; (E.H.); (U.P.)
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60590 Frankfurt am Main, Germany; (C.R.); (M.C.B.); (H.U.); (P.N.H.); (S.S.); (H.S.); (J.P.S.); (O.B.)
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8
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Widgeon Paisner S, Janicke MT, Kaseman DC, Frankle RK, Yoder JL, Alvarez MA, Espy MA, Williams RF. Correction of Q Factor Effects for Simultaneous Collection of Elemental Analysis and Relaxation Times by Nuclear Magnetic Resonance. Anal Chem 2020; 92:6918-6924. [PMID: 32338873 DOI: 10.1021/acs.analchem.9b05603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
A new method for measurement of elemental analysis by nuclear magnetic resonance (NMR) of unknown samples is discussed here as a quick and robust means to measure elemental ratios without the use of internal or external calibration standards. The determination of elemental ratios was done by normalizing the signal intensities by the frequency dependent quality factor (Q) and the gyromagnetic ratios (γ) for each measured nucleus. The correction for the frequency dependence was found by characterizing the output signal of the probe as a function of the quality factor (Q) and the frequency, and the correction for γ was discussed in a previous study. A Carr-Purcell-Meiboom-Gill (CPMG) pulse sequence was used for evaluation of the relative signal intensities, which allows for derivation of elemental ratios, and was correspondingly used to simultaneously measure the T2* of samples for an added parameter for more accurate identification of unknown samples.
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Affiliation(s)
- Scarlett Widgeon Paisner
- Materials Science in Radiation and Dynamics Extremes, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States
| | - Michael T Janicke
- Inorganic, Isotope and Actinide Chemistry, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States
| | - Derrick C Kaseman
- Bioenergy and Biome Sciences, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States
| | - Rachel K Frankle
- Bioenergy and Biome Sciences, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States
| | - Jacob L Yoder
- Bioenergy and Biome Sciences, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States
| | - Marc A Alvarez
- Bioenergy and Biome Sciences, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States
| | - Michelle A Espy
- Non-destructive Testing and Evaluation, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States
| | - Robert F Williams
- Bioenergy and Biome Sciences, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States
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9
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Giraudeau P. NMR-based metabolomics and fluxomics: developments and future prospects. Analyst 2020; 145:2457-2472. [DOI: 10.1039/d0an00142b] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Recent NMR developments are acting as game changers for metabolomics and fluxomics – a critical and perspective review.
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10
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Mumcu A, Karaer A, Dogan B, Tuncay G. Metabolomics analysis of seminal plasma in patients with idiopathic Oligoasthenoteratozoospermia using high-resolution NMR spectroscopy. Andrology 2019; 8:450-456. [PMID: 31520509 DOI: 10.1111/andr.12707] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 08/08/2019] [Accepted: 09/10/2019] [Indexed: 01/29/2023]
Abstract
BACKGROUND Male infertility is a global health issue caused by a combination of different factors. Specialists generally rely on semen analysis to diagnose male infertility. However, it is known that diagnostic semen analysis fails to identify about 50% of male infertility disorders. Recently, metabolomics has been proven to be a powerful technique for the diagnosis of different diseases. OBJECTIVE To determine whether metabolites could be used as potential biomarkers for the diagnosis of male factor infertility through comparing seminal plasma samples from infertile men with oligoasthenoteratozospermia (OAT) and samples from normozoospermic controls. MATERIALS AND METHODS This study utilized high-resolution 1 H NMR spectroscopy to reveal whether the metabolomic changes of seminal plasma obtained from 31 patients with oligoasthenoteratozospermia (OAT) are different from the ones obtained from 28 normozoospermic controls. RESULTS Multivariate statistical analysis of NMR data concluded that the metabolomic profile of samples from patients with OAT exhibits statistically significant differences when compared to the controls. The differences were based on the metabolites lactate, citrate, lysine, arginine, valine, glutamine, creatinine, α-ketoglutaric acid, spermine, putrescine, and tyrosine. Except the tyrosine, levels of the above metabolites were significantly decreased in patients with OAT compared to the controls. The levels of citrate, choline, spermine, putrescine, α-ketoglutaric acid, valine, and tyrosine were significantly different (p < 5 × 10-4 ) between two groups. On the other hand, levels of lactate, creatinine, lysine, arginine, and glutamine were also statistically significant (0.001 < p < 0.05). However, considering the p-values, the physiological relevance of these metabolites may be lower when compared to the others. A PLS-DA model built on the NMR data achieved 89.29% sensitivity and 93.55% specificity results in a leave-one-out cross-validation process. DISCUSSION AND CONCLUSION 1 H NMR spectroscopy-based metabolomic analysis could be used as a diagnostic tool for the diagnosis of oligoasthenoteratozospermia.
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Affiliation(s)
- A Mumcu
- Laboratory of NMR, Scientific and Technological Research Center, Inonu University, Malatya, Turkey
| | - A Karaer
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, School of Medicine, Inonu University, Malatya, Turkey
| | - B Dogan
- Department of Biomedical Engineering, School of Engineering, Inonu University, Malatya, Turkey
| | - G Tuncay
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, School of Medicine, Inonu University, Malatya, Turkey
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11
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Lin CY, Huang LH, Deng DF, Lee SH, Liang HJ, Hung SSO. Metabolic adaptation to feed restriction on the green sturgeon (Acipenser medirostris) fingerlings. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 684:78-88. [PMID: 31150878 DOI: 10.1016/j.scitotenv.2019.05.044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 05/03/2019] [Accepted: 05/04/2019] [Indexed: 06/09/2023]
Abstract
Food restriction may cause severe biological effects on wildlife and lead to population decline and extinction. The objective of the current study was to examine the metabolic effects on green sturgeon in response to feed restriction. Green sturgeon fingerlings were fed for two weeks at 12.5, 25, 50 and 100% of the optimum feeding rate (OFR), which corresponded to 0.25, 0.50, 1.00, and 2.00% body weight per day. We characterized the changes in hydrophilic and hydrophobic metabolites from extracts of muscle, liver, and kidney using nuclear magnetic resonance spectroscopy followed by multivariate statistical analysis. The results of principal component analysis (PCA) score plots from the analyses of hydrophilic metabolites showed that they exhibited a greater response to feed restriction than hydrophobic metabolites. In general, the hydrophilic metabolites in tissues from fish fed ≦25% of the OFR were separated from those fed 100% of the OFR in the PCA score plots. Among the three types of tissues examined, the overall metabolite changes showed a greater response to feed restriction in kidney tissue than in liver or muscle tissues. Numerous glucogenic amino acids in muscle and most amino acids in the kidney were decreased under feed restriction conditions. A significant decrease in ketone bodies (3-hydroxyisobutyrate) was observed in the muscle. Most fatty acids except for glycerol, phospholipid and cholesterol in the liver and kidney tissues were decreased under feed restriction conditions. Creatine phosphate, taurine and glycine were also significantly increased in tissues under feed restriction conditions. In conclusion, this study suggests that the manipulation of feed restriction under the current conditions perturbed metabolites related to energy metabolism, osmolality regulation, and antioxidation capacity in the sturgeon.
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Affiliation(s)
- Ching-Yu Lin
- Institute of Environmental Health, College of Public Health, National Taiwan University, Taipei, Taiwan, ROC.
| | - Lu-Hsueh Huang
- Institute of Environmental Health, College of Public Health, National Taiwan University, Taipei, Taiwan, ROC
| | - Dong-Fang Deng
- School of Freshwater Sciences, University of Wisconsin, Milwaukee, WI 53204, USA
| | - Sheng-Han Lee
- Institute of Environmental Health, College of Public Health, National Taiwan University, Taipei, Taiwan, ROC
| | - Hao-Jan Liang
- Institute of Environmental Health, College of Public Health, National Taiwan University, Taipei, Taiwan, ROC
| | - Silas S O Hung
- Department of Animal Science, University of California, Davis 95616, USA
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12
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Abstract
Metabolomics is a comprehensive characterization of the small polar molecules (metabolites) in different biological systems. One of the analytical platforms commonly used to study metabolic alterations in biofluid samples is proton nuclear magnetic resonance (1H NMR) spectroscopy. NMR spectroscopy is very specific, quantitative, and highly reproducible. Moreover, sample preparation for NMR experiments is very simple and straightforward, and this gives NMR spectroscopy a distinct advantage over other metabolic profiling methods. It has already been shown that 1H NMR-based profiling of biological fluids can be effective in differentiating benign from malignant lesions and in investigating the efficacy of specific cancer treatments. Therefore, 1H NMR spectroscopy may become a promising tool for early noninvasive diagnosis and rapid assessment of treatment effects in cancer patients. Here, we describe a detailed protocol for 1H NMR metabolite profiling in serum, plasma, and urine samples, including sample collection procedures, sample preparation for 1H NMR experiments, spectral acquisition and processing, and quantitative profiling of 1H NMR spectra. We also discuss several aspects of appropriate study design and some multivariate statistical methods that are commonly used to analyze metabolomics datasets.
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13
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Abstract
Prostate cancer is the second most common malignancy, and the fifth leading cause of cancer-related death among men, worldwide. A major unsolved clinical challenge in prostate cancer is the ability to accurately distinguish indolent cancer types from the aggressive ones. Reprogramming of metabolism is now a widely accepted hallmark of cancer development, where cancer cells must be able to convert nutrients to biomass while maintaining energy production. Metabolomics is the large-scale study of small molecules, commonly known as metabolites, within cells, biofluids, tissues, or organisms. Nuclear magnetic resonance (NMR) spectroscopy is commonly applied in metabolomics studies of cancer. This chapter provides protocols for NMR-based metabolomics of cell cultures, biofluids (serum and urine), and intact tissue, with concurrent advice for optimal biobanking and sample preparation procedures.
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14
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Bharti SK, Wildes F, Hung CF, Wu TC, Bhujwalla ZM, Penet MF. Metabolomic characterization of experimental ovarian cancer ascitic fluid. Metabolomics 2017; 13:113. [PMID: 29430218 PMCID: PMC5804489 DOI: 10.1007/s11306-017-1254-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Malignant ascites (MA) is a major cause of morbidity that occurs in 37% of ovarian cancer patients. The accumulation of MA in the peritoneal cavity due to cancer results in debilitating symptoms and extremely poor quality of life. There is an urgent unmet need to expand the understanding of MA to design effective treatment strategies, and to improve MA diagnosis. OBJECTIVE Our purpose here is to contribute to a better characterization of MA metabolic composition in ovarian cancer. METHOD We determined the metabolic composition of ascitic fluids resulting from orthotopic growth of two ovarian cancer cell lines, the mouse ID8-vascular endothelial growth factor (VEGF)-Defb29 cell line and the human OVCAR3 cell line using high-resolution 1H MRS. ID8-VEGF-Defb29 tumors induce large volumes of ascites, while OVCAR3 tumors induce ascites less frequently and at smaller volumes. To better understand the factors driving the metabolic composition of the fluid, we characterized the metabolism of these ovarian cancer cells in culture by analyzing cell lysates and conditioned culture media with 1H NMR. RESULTS Distinct metabolite patterns were detected in ascitic fluid collected from OVCAR3 and ID8-VEGF-Defb29 tumor bearing mice that were not reflected in the corresponding cell culture or conditioned medium. CONCLUSION High-resolution 1H NMR metabolic markers of MA can be used to improve characterization and diagnosis of MA. Metabolic characterization of MA can provide new insights into how MA fluid supports cancer cell growth and resistance to treatment, and has the potential to identify metabolic targeting strategies to reduce or eliminate the formation of MA.
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Affiliation(s)
- Santosh K. Bharti
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Flonné Wildes
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Chien-Fu Hung
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - TC Wu
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Zaver M. Bhujwalla
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
- Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Marie-France Penet
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
- Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD
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15
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Barrilero R, Ramírez N, Vallvé JC, Taverner D, Fuertes R, Amigó N, Correig X. Unravelling and Quantifying the "NMR-Invisible" Metabolites Interacting with Human Serum Albumin by Binding Competition and T2 Relaxation-Based Decomposition Analysis. J Proteome Res 2017; 16:1847-1856. [PMID: 28345344 DOI: 10.1021/acs.jproteome.6b00814] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Quantitative profiling of low-molecular-weight metabolites (LMWMs) by 1H NMR is routinely used in high-throughput serum metabolomics. First, the protein background is attenuated using a T2 filter; then, the LMWM signals are resolved by line-shape fitting. However, protein-binding modifies the motional properties of LMWM, and their signal partially attenuates with the T2 filter, along with the protein background. Consequently, the quantified LMWM signals do not reflect the total concentration in serum but the nonbinding part. Here we present a novel strategy based on binding competition to promote the release of the "NMR-invisible" metabolites from serum proteins and achieve quantifications closer to total concentrations. The study focuses on five clinically relevant amino acids with different binding properties (valine, isoleucine, leucine, tyrosine, and phenylalanine). We analyzed their binding affinity to human serum albumin (HSA) in serum mimic samples and promoted the release of their bound fraction by TSP titration. Furthermore, we used a novel combination of pseudo-2D CPMG and multivariate curve resolution analysis, allowing the separation of LMWM and protein signals and providing LMWM quantifications corrected for transverse relaxation effects. We found that TSP concentrations larger than 3 mM released most of the bound fraction and validated these findings in real serum/plasma samples.
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Affiliation(s)
- Ruben Barrilero
- Department of Electronic Engineering, Universitat Rovira i Virgili , Metabolomics Platform, URV, 43007 Tarragona, Spain.,Pere Virgili Health Research Institute, IISPV , 43204 Reus, Spain.,Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM) , 28029 Madrid, Spain
| | - Noelia Ramírez
- Department of Electronic Engineering, Universitat Rovira i Virgili , Metabolomics Platform, URV, 43007 Tarragona, Spain.,Pere Virgili Health Research Institute, IISPV , 43204 Reus, Spain.,Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM) , 28029 Madrid, Spain
| | - Joan Carles Vallvé
- Pere Virgili Health Research Institute, IISPV , 43204 Reus, Spain.,Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM) , 28029 Madrid, Spain.,Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Universitat Rovira i Virgili , 43201 Reus, Spain
| | - Delia Taverner
- Pere Virgili Health Research Institute, IISPV , 43204 Reus, Spain.,Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Universitat Rovira i Virgili , 43201 Reus, Spain.,Sant Joan University Hospital, Universitat Rovira i Virgili , 43204 Reus, Spain
| | - Rocío Fuertes
- Department of Electronic Engineering, Universitat Rovira i Virgili , Metabolomics Platform, URV, 43007 Tarragona, Spain.,Pere Virgili Health Research Institute, IISPV , 43204 Reus, Spain.,Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM) , 28029 Madrid, Spain.,Biosfer Teslab SL , 43201 Reus, Spain
| | - Núria Amigó
- Department of Electronic Engineering, Universitat Rovira i Virgili , Metabolomics Platform, URV, 43007 Tarragona, Spain.,Pere Virgili Health Research Institute, IISPV , 43204 Reus, Spain.,Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM) , 28029 Madrid, Spain.,Biosfer Teslab SL , 43201 Reus, Spain
| | - Xavier Correig
- Department of Electronic Engineering, Universitat Rovira i Virgili , Metabolomics Platform, URV, 43007 Tarragona, Spain.,Pere Virgili Health Research Institute, IISPV , 43204 Reus, Spain.,Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM) , 28029 Madrid, Spain
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16
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Wallmeier J, Samol C, Ellmann L, Zacharias HU, Vogl FC, Garcia M, Dettmer K, Oefner PJ, Gronwald W. Quantification of Metabolites by NMR Spectroscopy in the Presence of Protein. J Proteome Res 2017; 16:1784-1796. [PMID: 28294621 DOI: 10.1021/acs.jproteome.7b00057] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
The high reliability of NMR spectroscopy makes it an ideal tool for large-scale metabolomic studies. However, the complexity of biofluids and, in particular, the presence of macromolecules poses a significant challenge. Ultrafiltration and protein precipitation are established means of deproteinization and recovery of free or total metabolite content, but neither is ever complete. In addition, aside from cost and labor, all deproteinization methods constitute an additional source of experimental variation. The Carr-Purcell-Meiboom-Gill (CPMG) echo-train acquisition of NMR spectra obviates the need for prior deproteinization by attenuating signals from macromolecules, but concentration values of metabolites measured in blood plasma will not necessarily reflect total or free metabolite content. Here, in contrast to approaches that propose the determination of individual T1 and T2 relaxation times for the computation of correction factors, we demonstrate their determination by spike-in experiments with known amounts of metabolites in pooled samples of the matrix of interest to facilitate the measurement of total metabolite content. Provided that the protein content does not vary too much among individual samples, accurate quantitation of metabolites is feasible. Moreover, samples with significantly deviating protein content may be readily recognized by inclusion of a standard that shows moderate protein binding. It is also shown that urinary proteins when present in high concentrations may effect detection of common urinary metabolites prone to strong protein binding such as tryptophan.
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Affiliation(s)
- Jens Wallmeier
- Institute of Functional Genomics, University of Regensburg , Am Biopark 9, 93053 Regensburg, Germany
| | - Claudia Samol
- Institute of Functional Genomics, University of Regensburg , Am Biopark 9, 93053 Regensburg, Germany
| | - Lisa Ellmann
- Institute of Functional Genomics, University of Regensburg , Am Biopark 9, 93053 Regensburg, Germany
| | - Helena U Zacharias
- Institute of Functional Genomics, University of Regensburg , Am Biopark 9, 93053 Regensburg, Germany
| | - Franziska C Vogl
- Institute of Functional Genomics, University of Regensburg , Am Biopark 9, 93053 Regensburg, Germany
| | - Muriel Garcia
- Institute of Functional Genomics, University of Regensburg , Am Biopark 9, 93053 Regensburg, Germany
| | - Katja Dettmer
- Institute of Functional Genomics, University of Regensburg , Am Biopark 9, 93053 Regensburg, Germany
| | - Peter J Oefner
- Institute of Functional Genomics, University of Regensburg , Am Biopark 9, 93053 Regensburg, Germany
| | - Wolfram Gronwald
- Institute of Functional Genomics, University of Regensburg , Am Biopark 9, 93053 Regensburg, Germany
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17
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Khodov IA, Maltceva OV, Klochkov VV, Koifman OI, Mamardashvili NZ. N-Confused porphyrins: complexation and 1H NMR studies. NEW J CHEM 2017. [DOI: 10.1039/c7nj01814b] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The complexation of 2-aza-21-carba-tetraphenylporphyrin and 2-aza-2-methyl-5,10,15,20-tetraphenyl-21-carbaporphyrin with nickel and zinc acetates in organic solvents has been investigated by UV-Vis spectroscopy and 1H NMR.
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Affiliation(s)
- Ilya A. Khodov
- G.A. Krestov Institute of Solution Chemistry of the Russian Academy of Sciences
- Ivanovo
- Russia
- Kazan Federal University
- Kazan
| | - Olga V. Maltceva
- G.A. Krestov Institute of Solution Chemistry of the Russian Academy of Sciences
- Ivanovo
- Russia
| | | | - Oscar I. Koifman
- G.A. Krestov Institute of Solution Chemistry of the Russian Academy of Sciences
- Ivanovo
- Russia
- Research Institute of Macroheterocycles
- Ivanovo State University of Chemistry and Technology
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18
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Khemakhem M, Papadimitriou V, Sotiroudis G, Zoumpoulakis P, Arbez-Gindre C, Bouzouita N, Sotiroudis TG. Melanin and humic acid-like polymer complex from olive mill waste waters. Part I. Isolation and characterization. Food Chem 2016; 203:540-547. [PMID: 26948649 DOI: 10.1016/j.foodchem.2016.01.110] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2015] [Revised: 12/18/2015] [Accepted: 01/27/2016] [Indexed: 12/26/2022]
Abstract
A water soluble humic acid and melanin-like polymer complex (OMWW-ASP) was isolated from olive mill waste waters (OMWW) by ammonium sulfate fractionation to be used as natural additive in food preparations. The dark polymer complex was further characterized by a variety of biochemical, physicochemical and spectroscopic techniques. OMWW-ASP is composed mainly of proteins associated with polyphenols and carbohydrates and the distribution of its relative molecular size was determined between about 5 and 190 kDa. SDS-PAGE shows the presence of a well separated protein band of 21.3 kDa and a low molecular weight peptide. The OMWW-ASP complex exhibits a monotonically increasing UV-Vis absorption spectrum and it contains stable radicals. Antioxidant activity measurements reveal the ability of the OMWW protein fraction to scavenge both the cationic 2,2'-azino-bis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS(+)) radical, as well as the stable nitroxide free radical 4-hydroxy-2,2,6,6-tetramethylpiperidine 1-oxyl (TEMPOL).
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Affiliation(s)
- Maissa Khemakhem
- Ecole Supérieure des Industries Alimentaires de Tunis, 58, Avenue Alain Savary, 1003 Tunis, Tunisia; Laboratoire de Chimie Organique Structurale: Synthèse et Etude Physicochimique, Faculté des Sciences de Tunis, Campus Universitaire 2092 - El Manar, Tunisia
| | - Vassiliki Papadimitriou
- Institute of Biology, Medicinal Chemistry & Biotechnology, National Hellenic Research Foundation, 48 Vassileos Constantinou Ave., 11635 Athens, Greece.
| | - Georgios Sotiroudis
- Institute of Biology, Medicinal Chemistry & Biotechnology, National Hellenic Research Foundation, 48 Vassileos Constantinou Ave., 11635 Athens, Greece
| | - Panagiotis Zoumpoulakis
- Institute of Biology, Medicinal Chemistry & Biotechnology, National Hellenic Research Foundation, 48 Vassileos Constantinou Ave., 11635 Athens, Greece
| | - Cécile Arbez-Gindre
- Institute of Biology, Medicinal Chemistry & Biotechnology, National Hellenic Research Foundation, 48 Vassileos Constantinou Ave., 11635 Athens, Greece
| | - Nabiha Bouzouita
- Ecole Supérieure des Industries Alimentaires de Tunis, 58, Avenue Alain Savary, 1003 Tunis, Tunisia; Laboratoire de Chimie Organique Structurale: Synthèse et Etude Physicochimique, Faculté des Sciences de Tunis, Campus Universitaire 2092 - El Manar, Tunisia
| | - Theodore G Sotiroudis
- Institute of Biology, Medicinal Chemistry & Biotechnology, National Hellenic Research Foundation, 48 Vassileos Constantinou Ave., 11635 Athens, Greece
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Tognarelli JM, Dawood M, Shariff MI, Grover VP, Crossey MM, Cox IJ, Taylor-Robinson SD, McPhail MJ. Magnetic Resonance Spectroscopy: Principles and Techniques: Lessons for Clinicians. J Clin Exp Hepatol 2015; 5:320-8. [PMID: 26900274 PMCID: PMC4723643 DOI: 10.1016/j.jceh.2015.10.006] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2015] [Accepted: 10/26/2015] [Indexed: 12/12/2022] Open
Abstract
Magnetic resonance spectroscopy (MRS) provides a non-invasive 'window' on biochemical processes within the body. Its use is no longer restricted to the field of research, with applications in clinical practice increasingly common. MRS can be conducted at high magnetic field strengths (typically 11-14 T) on body fluids, cell extracts and tissue samples, with new developments in whole-body magnetic resonance imaging (MRI) allowing clinical MRS at the end of a standard MRI examination, obtaining functional information in addition to anatomical information. We discuss the background physics the busy clinician needs to know before considering using the technique as an investigative tool. Some potential applications of hepatic and cerebral MRS in chronic liver disease are also discussed.
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Key Words
- CPMG, Carr-Purcell-Meiboom-Gill sequence
- CSI, chemical shift imaging
- FID, free induction decay
- K, Kelvin
- KEGG, Kyoto Encyclopedia for Genes and Genomes
- MR, magnetic resonance
- MRI, magnetic resonance imaging
- MRS, magnetic resonance spectroscopy
- MSEA, metabolite set enrichment analysis
- NMR, nuclear magnetic resonance
- NOESY, nuclear Overhauser enhancement spectroscopy
- PC, principal components
- PCA, principal components analysis
- PLS-DA, partial least squared discriminant analysis
- PRESS, point-resolved spectroscopy
- STEAM, stimulated echo acquisition mode
- T, Tesla
- T1, spin-lattice relaxation
- T2, spin-spin relaxation
- TE, echo time
- TMAO, trimethylamine N-oxide
- TR, repetition time
- magnetic resonance imaging
- magnetic resonance spectroscopy
- metabolomics
- nuclear magnetic resonance
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Affiliation(s)
- Joshua M. Tognarelli
- Liver Unit, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, United Kingdom
- Address for correspondence: Joshua Tognarelli, Liver Unit, Department of Medicine, 10th Floor QEQM Wing, St Mary's Hospital, Imperial College London, Praed Street, London W2 1NY, United Kingdom. Tel.: +44 207 886 6454; fax: +44 207 402 2796.Liver Unit, Department of Medicine, 10th Floor QEQM Wing, St Mary's Hospital, Imperial College LondonPraed StreetLondonW2 1NYUnited Kingdom
| | - Mahvish Dawood
- Liver Unit, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, United Kingdom
| | - Mohamed I.F. Shariff
- Liver Unit, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, United Kingdom
| | - Vijay P.B. Grover
- Liver Unit, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, United Kingdom
| | - Mary M.E. Crossey
- Liver Unit, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, United Kingdom
| | - I. Jane Cox
- The Foundation for Liver Research, Institute of Hepatology, 69-75 Chenies Mews, London WC1E 6HX, United Kingdom
| | - Simon D. Taylor-Robinson
- Liver Unit, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, United Kingdom
| | - Mark J.W. McPhail
- Liver Unit, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, United Kingdom
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20
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Castejón D, García-Segura JM, Escudero R, Herrera A, Cambero MI. Metabolomics of meat exudate: Its potential to evaluate beef meat conservation and aging. Anal Chim Acta 2015; 901:1-11. [PMID: 26614053 DOI: 10.1016/j.aca.2015.08.032] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2015] [Accepted: 08/13/2015] [Indexed: 11/18/2022]
Abstract
In this study we analyzed the exudate of beef to evaluate its potential as non invasive sampling for nuclear magnetic resonance (NMR) based metabolomic analysis of meat samples. Exudate, as the natural juice from raw meat, is an easy to obtain matrix that it is usually collected in small amounts in commercial meat packages. Although meat exudate could provide complete and homogeneous metabolic information about the whole meat piece, this sample has been poorly studied. Exudates from 48 beef samples of different breeds, cattle and storage times have been studied by (1)H NMR spectroscopy. The liquid exudate spectra were compared with those obtained by High Resolution Magic Angle Spinning (HRMAS) of the original meat pieces. The close correlation found between both spectra (>95% of coincident peaks in both registers; Spearman correlation coefficient = 0.945) lead us to propose the exudate as an excellent alternative analytical matrix with a view to apply meat metabolomics. 60 metabolites could be identified through the analysis of mono and bidimensional exudate spectra, 23 of them for the first time in NMR meat studies. The application of chemometric tools to analyze exudate dataset has revealed significant metabolite variations associated with meat aging. Hence, NMR based metabolomics have made it possible both to classify meat samples according to their storage time through Principal Component Analysis (PCA), and to predict that storage time through Partial Least Squares (PLS) regression.
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Affiliation(s)
- David Castejón
- Centro de Asistencia a la Investigación de Resonancia Magnética Nuclear y de Espín Electrónico, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Juan Manuel García-Segura
- Centro de Asistencia a la Investigación de Resonancia Magnética Nuclear y de Espín Electrónico, Universidad Complutense de Madrid, 28040 Madrid, Spain; Departamento de Bioquímica y Biología Molecular I, Facultad de Químicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Rosa Escudero
- Departamento de Nutrición, Bromatología y Tecnología de los Alimentos, Facultad de Veterinaria. Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Antonio Herrera
- Departamento de Química Orgánica, Facultad de Químicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - María Isabel Cambero
- Departamento de Nutrición, Bromatología y Tecnología de los Alimentos, Facultad de Veterinaria. Universidad Complutense de Madrid, 28040 Madrid, Spain.
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21
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Trivedi DK, Iles RK. Do not just do it, do it right: urinary metabolomics -establishing clinically relevant baselines. Biomed Chromatogr 2014; 28:1491-501. [DOI: 10.1002/bmc.3219] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2014] [Revised: 03/17/2014] [Accepted: 03/25/2014] [Indexed: 12/11/2022]
Affiliation(s)
- Drupad K. Trivedi
- Eric Leonard Kruse Foundation for Health Research; Manchester UK
- Manchester Institute of Biotechnology and School of Chemistry; University of Manchester; M1 7DN UK
| | - Ray K. Iles
- Eric Leonard Kruse Foundation for Health Research; Manchester UK
- MAP Diagnostic Ltd; Ely Cambridgeshire UK
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The future of NMR metabolomics in cancer therapy: towards personalizing treatment and developing targeted drugs? Metabolites 2013; 3:373-96. [PMID: 24957997 PMCID: PMC3901278 DOI: 10.3390/metabo3020373] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2013] [Revised: 05/07/2013] [Accepted: 05/10/2013] [Indexed: 12/20/2022] Open
Abstract
There has been a recent shift in how cancers are defined, where tumors are no longer simply classified by their tissue origin, but also by their molecular characteristics. Furthermore, personalized medicine has become a popular term and it could start to play an important role in future medical care. However, today, a "one size fits all" approach is still the most common form of cancer treatment. In this mini-review paper, we report on the role of nuclear magnetic resonance (NMR) metabolomics in drug development and in personalized medicine. NMR spectroscopy has successfully been used to evaluate current and potential therapies, both single-agents and combination therapies, to analyze toxicology, optimal dose, resistance, sensitivity, and biological mechanisms. It can also provide biological insight on tumor subtypes and their different responses to drugs, and indicate which patients are most likely to experience off-target effects and predict characteristics for treatment efficacy. Identifying pre-treatment metabolic profiles that correlate to these events could significantly improve how we view and treat tumors. We also briefly discuss several targeted cancer drugs that have been studied by metabolomics. We conclude that NMR technology provides a key platform in metabolomics that is well-positioned to play a crucial role in realizing the ultimate goal of better tailored cancer medicine.
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Alzweiri M, Watson DG, Parkinson JA. METABONOMICS AS A CLINICAL TOOL OF ANALYSIS: LC-MS APPROACHES. J LIQ CHROMATOGR R T 2013. [DOI: 10.1080/10826076.2011.644054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Muhammed Alzweiri
- a Department of Pharmaceutical Sciences , The University of Jordan , Amman , Jordan
| | - David G. Watson
- b Strathclyde Institute for Pharmaceutical and Biomedical Sciences , University of Strathclyde , Glasgow , U.K
| | - John A. Parkinson
- c WestCHEM, Department of Pure and Applied Chemistry , University of Strathclyde , Glasgow , U.K
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Sheedy JR. Metabolite analysis of biological fluids and tissues by proton nuclear magnetic resonance spectroscopy. Methods Mol Biol 2013; 1055:81-97. [PMID: 23963905 DOI: 10.1007/978-1-62703-577-4_7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
NMR-based biochemical profiling of natural products has become popular due to the development of high-resolution instruments (>400 MHz) and cryogenically cooled probes/preamplifiers, by increasing the sensitivity of NMR instruments several fold and reducing instrument noise levels. NMR provides a rapid, nondestructive, high-throughput method that requires minimal sample preparation, therefore maintaining the biological integrity of the sample. One-dimensional (1D) solution-state (1)H NMR is used in untargeted sample screening (metabolomics/metabonomics) to gain insight into spectral pattern changes associated with samples of different origins. Metabolomics and metabonomics contextually explains the systematic and quantitative measurement of metabolites that are produced from the biochemical reactions of living systems. This chapter describes some commonly used (1)H NMR experiments for identification and quantification of small molecular weight, water soluble metabolites in biological samples, some considerations for choosing the correct NMR experiment, and sample preparation protocols for isolating metabolites from a number of biological sample types.
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Affiliation(s)
- John Robert Sheedy
- Department of Zoology, The University of Melbourne, Parkville, VIC, Australia
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ANDO I, TAKEUCHI K, OGUMA S, SATO H, SEKINO H, IMAI Y, FUJIWARA M. 1H NMR Spectroscopic Quantification of Plasma Metabolites in Dialysate during Hemodialysis. Magn Reson Med Sci 2013; 12:129-35. [DOI: 10.2463/mrms.2012-0076] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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Kokushi E, Uno S, Harada T, Koyama J. ¹H NMR-based metabolomics approach to assess toxicity of bunker a heavy oil to freshwater carp, Cyprinus carpio. ENVIRONMENTAL TOXICOLOGY 2012; 27:404-414. [PMID: 20882592 DOI: 10.1002/tox.20653] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2010] [Revised: 08/08/2010] [Accepted: 08/10/2010] [Indexed: 05/29/2023]
Abstract
Using a ¹H NMR metabolomics approach, the effects of dietary exposure of bunker A heavy oil (0.01, 0.1, 1, and 5% in diet) on freshwater carp, Cyprinus carpio, were examined. Statistical analysis by PCA score plots showed that the amount of metabolites in exposure groups 0.1, 1, and 5% differed from those in the control group. Although no discernible effects on metabolites were noted in the 0.1% exposure group as well as in the lowest concentration (0.01%) group, several metabolites such as amino acid (e.g., leucine, isoleucine, valine, glutamine, histidine, proline, and methionine), 3-D-hydroxybutyrate, and glycerol were elevated, while another metabolite such as formate was reduced in 1 and 5% groups. These changes in the metabolites associated with the tri-carboxylic-acid (TCA) cycle suggest that oil exposure resulted in the disturbance of the TCA cycle in the liver of the carp. Isobutyrate, a marker of anoxia, was also increased in 1 and 5% exposures groups and was directly related to low hemoglobin concentrations leading to reduced oxygen transport by blood. In addition, significant elevation of creatinine in the plasma of carps exposed to 5% heavy oil suggests disturbance in kidney function. Thus, metabolomics approach can detect toxic effects of hazardous pollutants on fish.
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Affiliation(s)
- Emiko Kokushi
- The United Graduate School of Agricultural Sciences, Kagoshima University, 4-50-20 Shimoarata, Kagoshima 890-0056, Japan
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27
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Sheedy JR, Ebeling PR, Gooley PR, McConville MJ. A sample preparation protocol for 1H nuclear magnetic resonance studies of water-soluble metabolites in blood and urine. Anal Biochem 2009; 398:263-5. [PMID: 19941831 DOI: 10.1016/j.ab.2009.11.027] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2009] [Revised: 11/18/2009] [Accepted: 11/18/2009] [Indexed: 11/19/2022]
Abstract
We describe a general protocol for preparing protein-containing biofluids for (1)H nuclear magnetic resonance (NMR) metabolomic studies. In this protocol, untreated samples are diluted in deuterated solvents to precipitate proteins and recover metabolites quantitated relative to standard reference compounds such as 3-trimethylsilylpropionic acid (TSP) and 2,2-dimethyl-2-silapentane-5-sulfonic acid (DSS). The efficacy of this protocol was tested using a bovine serum albumin/metabolite mix and human serum samples. This sample preparation method can be readily applied to any protein-containing biofluid for (1)H NMR studies.
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Affiliation(s)
- John R Sheedy
- Department of Medicine, Royal Melbourne and Western Hospitals, University of Melbourne, Footscray, Victoria 3011, Australia.
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28
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Alam TM, Alam MK, McIntyre SK, Volk DE, Neerathilingam M, Luxon BA. Investigation of chemometric instrumental transfer methods for high-resolution NMR. Anal Chem 2009; 81:4433-43. [PMID: 19476390 DOI: 10.1021/ac900262g] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The implementation of direct standardization (DS), piecewise direct standardization (PDS), and double-window piecewise direct standardization (DWPDS) instrumental transfer techniques for high-resolution (1)H NMR spectral data was explored. The ability to transfer a multivariate calibration model developed for a "master or target" NMR instrument configuration to seven different ("secondary") NMR instrument configurations was measured. Partial least-squares (PLS) calibration of glucose, glycine, and citrate metabolite relative concentrations in model mixtures following mapping of the secondary instrumental configurations using DS, PDS, or DWPDS instrumental transfer allowed the performance of the different transfer methods to be assessed. Results from these studies suggest that DS and PDS transfer techniques produce similar improvements in the error of prediction compared to each other and provide a significant improvement over standard spectral preprocessing techniques including reference deconvolution and spectral binning. The DS instrumental transfer method produced the largest percent improvement in the predictions of concentrations for these model mixtures but, in general, required that additional transfer calibration standards be used. Limitations of the different instrumental transfer methods with respect to sample subset selection are also discussed.
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Affiliation(s)
- Todd M Alam
- Department of Electronic and Nanostructured Materials, Sandia National Laboratories, Albuquerque, New Mexico 87185-0886, USA.
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Van QN, Issaq HJ, Jiang Q, Li Q, Muschik GM, Waybright TJ, Lou H, Dean M, Uitto J, Veenstra TD. Comparison of 1D and 2D NMR Spectroscopy for Metabolic Profiling. J Proteome Res 2007; 7:630-9. [DOI: 10.1021/pr700594s] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Que N. Van
- Laboratory of Proteomics and Analytical Technologies, Advanced Technology Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, Maryland 21702, Department of Dermatology and Cutaneous Biology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, and Laboratory of Genomic Diversity, National Cancer Institute at Frederick, Frederick, Maryland 21702
| | - Haleem J. Issaq
- Laboratory of Proteomics and Analytical Technologies, Advanced Technology Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, Maryland 21702, Department of Dermatology and Cutaneous Biology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, and Laboratory of Genomic Diversity, National Cancer Institute at Frederick, Frederick, Maryland 21702
| | - Qiujie Jiang
- Laboratory of Proteomics and Analytical Technologies, Advanced Technology Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, Maryland 21702, Department of Dermatology and Cutaneous Biology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, and Laboratory of Genomic Diversity, National Cancer Institute at Frederick, Frederick, Maryland 21702
| | - Qiaoli Li
- Laboratory of Proteomics and Analytical Technologies, Advanced Technology Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, Maryland 21702, Department of Dermatology and Cutaneous Biology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, and Laboratory of Genomic Diversity, National Cancer Institute at Frederick, Frederick, Maryland 21702
| | - Gary M. Muschik
- Laboratory of Proteomics and Analytical Technologies, Advanced Technology Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, Maryland 21702, Department of Dermatology and Cutaneous Biology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, and Laboratory of Genomic Diversity, National Cancer Institute at Frederick, Frederick, Maryland 21702
| | - Timothy J. Waybright
- Laboratory of Proteomics and Analytical Technologies, Advanced Technology Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, Maryland 21702, Department of Dermatology and Cutaneous Biology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, and Laboratory of Genomic Diversity, National Cancer Institute at Frederick, Frederick, Maryland 21702
| | - Hong Lou
- Laboratory of Proteomics and Analytical Technologies, Advanced Technology Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, Maryland 21702, Department of Dermatology and Cutaneous Biology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, and Laboratory of Genomic Diversity, National Cancer Institute at Frederick, Frederick, Maryland 21702
| | - Michael Dean
- Laboratory of Proteomics and Analytical Technologies, Advanced Technology Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, Maryland 21702, Department of Dermatology and Cutaneous Biology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, and Laboratory of Genomic Diversity, National Cancer Institute at Frederick, Frederick, Maryland 21702
| | - Jouni Uitto
- Laboratory of Proteomics and Analytical Technologies, Advanced Technology Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, Maryland 21702, Department of Dermatology and Cutaneous Biology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, and Laboratory of Genomic Diversity, National Cancer Institute at Frederick, Frederick, Maryland 21702
| | - Timothy D. Veenstra
- Laboratory of Proteomics and Analytical Technologies, Advanced Technology Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, Maryland 21702, Department of Dermatology and Cutaneous Biology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, and Laboratory of Genomic Diversity, National Cancer Institute at Frederick, Frederick, Maryland 21702
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Lee MB, Storer MK, Blunt JW, Lever M. Validation of 1H NMR spectroscopy as an analytical tool for methylamine metabolites in urine. Clin Chim Acta 2006; 365:264-9. [PMID: 16257400 DOI: 10.1016/j.cca.2005.09.004] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2005] [Revised: 09/04/2005] [Accepted: 09/05/2005] [Indexed: 10/25/2022]
Abstract
BACKGROUND Methylamines have many metabolic roles and there is an increasing demand for their measurement. Glycine betaine is an important osmolyte, and a reservoir for methyl groups. Proline betaine and trigonelline are important dietary betaines. Trimethylamine, derived from gut flora, is normally converted to trimethylamine oxide but in 'fish odour syndrome' is excreted as TMA. These compounds are all suitable for quantification by (1)H NMR spectroscopy as they all have methyl protons. METHOD Urine samples are acidified and (1)H NMR spectra are obtained using presaturation for water suppression. Peak integrals or heights are compared to an internal standard of acetonitrile. RESULTS Inter- and intra-assay CV's were <5% for TMAO and creatinine, and <10% for the other analytes. Responses were linear from 50 to 1000 microM for all metabolites, and recoveries were > or =97%. Limits of detection using NMR are slightly higher than alternative HPLC assays (15-25 microM). However, sensitivity is adequate for the detection of raised levels in urine, and sample analysis was complete in less than 5 min. CONCLUSION (1)H NMR spectroscopy is a convenient, rapid and economical option for the determination of betaines and related compounds in urine in a single analysis.
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Affiliation(s)
- Martin B Lee
- Biochemistry Unit, Canterbury Health Laboratories, P.O. Box 151, Christchurch, New Zealand; Department of Chemistry, University of Canterbury, Christchurch, New Zealand
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Price KE, Vandaveer SS, Lunte CE, Larive CK. Tissue targeted metabonomics: metabolic profiling by microdialysis sampling and microcoil NMR. J Pharm Biomed Anal 2005; 38:904-9. [PMID: 15876508 PMCID: PMC2519806 DOI: 10.1016/j.jpba.2005.02.034] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2004] [Revised: 02/01/2005] [Accepted: 02/02/2005] [Indexed: 11/16/2022]
Abstract
The concentration of low molecular weight compounds in tissues can yield valuable information about the metabolic state of an organism. Studies of changes in the metabolic state or metabonomics can reflect disease pathways, drug action, or toxicity. This research aims to develop a new approach, tissue targeted metabonomics. Microdialysis sampling and microcoil NMR analysis are employed to compare basal and ischemic metabolic states of various tissues (blood, brain, and heart) of Sprague-Dawley rats. Microdialysis sampling is localized, making the metabolic profile tissue specific. Coupling to NMR analysis is highly advantageous, because a complete metabolic profile is obtained in a single spectrum. However, small sample volumes and low analyte concentrations make analysis of microdialysis samples challenging. Microcoil NMR uses low sample volumes and has improved mass sensitivity, relative to standard 5 mm probes. The coupling of these techniques is a potentially powerful tool for metabonomics analysis.
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Affiliation(s)
- Kristin E. Price
- Department of Chemistry, University of Kansas, Lawrence, KS 66045, USA
| | | | - Craig E. Lunte
- Department of Chemistry, University of Kansas, Lawrence, KS 66045, USA
| | - Cynthia K. Larive
- Department of Chemistry, University of California, 500 Big Springs Road, Physical Sciences 1, Riverside, CA 92521, USA
- Corresponding author. Tel.: +1 951 827 2990; fax: +1 951 827 4713. E-mail address: (C.K. Larive)
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Lucas LH, Larive CK, Wilkinson PS, Huhn S. Progress toward automated metabolic profiling of human serum: Comparison of CPMG and gradient-filtered NMR analytical methods. J Pharm Biomed Anal 2005; 39:156-63. [PMID: 15890484 DOI: 10.1016/j.jpba.2004.09.060] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/01/2004] [Indexed: 11/29/2022]
Abstract
The investigation of drug delivery and metabolism requires the analysis of molecules in complicated biological matrices such as human serum. In NMR-based metabonomic analysis, T(2) relaxation editing with a CPMG filter is commonly used to suppress background signals from proteins and other endogenous components. Radio frequency pulse imperfections and incomplete irradiation across the spectral bandwidth can cause phase and baseline distortions in CPMG spectra. These distortions are exacerbated by water suppression techniques. Baseline correction methods included in commercially available data processing software packages may be incapable of producing artifact-free spectra. To increase the analytical precision of metabolic profiling, one NMR spectroscopist may be responsible for manually phasing and baseline correcting hundreds of spectra individually to remove operator-dependent variations, significantly reducing throughput. For metabonomic analysis of human serum, it was observed that the application of a pulsed field gradient filter produced (1)H NMR spectra well suited to automatic phasing routines. Superior baseline characteristics, an increased tolerance to radio frequency pulse imperfections, and improved water suppression were achieved. A concomitant reduction in signal intensity compared with the CPMG method was easily recovered by increasing the number of scans. Principal component analysis (PCA) of spectra, acquired under a variety of experimental conditions, revealed the improved reproducibility and robustness of (1)H NMR pulsed field gradient-filtered metabonomic analyses of serum compared to the CPMG method.
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Affiliation(s)
- Laura H Lucas
- Department of Chemistry, University of Kansas, Malott Hall, Lawrence, 66045, USA
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Abstract
The post-genomics era has brought with it ever increasing demands to observe and characterise variation within biological systems. This variation has been studied at the genomic (gene function), proteomic (protein regulation) and the metabolomic (small molecular weight metabolite) levels. Whilst genomics and proteomics are generally studied using microarrays (genomics) and 2D-gels or mass spectrometry (proteomics), the technique of choice is less obvious in the area of metabolomics. Much work has been published employing mass spectrometry, NMR spectroscopy and vibrational spectroscopic techniques, amongst others, for the study of variations within the metabolome in many animal, plant and microbial systems. This review discusses the advantages and disadvantages of each technique, putting the current status of the field of metabolomics in context, and providing examples of applications for each technique employed.
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Affiliation(s)
- Warwick B Dunn
- Bioanalytical Sciences Group, School of Chemistry, University of Manchester, Faraday Building, Sackville Street, P. O. Box 88, Manchester, UKM60 1QD.
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