Metabolomic Profiling of Body Fluids in Mouse Models Demonstrates that Nuclear Magnetic Resonance Is a Putative Diagnostic Tool for the Presence of Thyroid Hormone Receptor α1 Mutations

Thyroid ◽  
2019 ◽  
Vol 29 (9) ◽  
pp. 1327-1335 ◽  
Author(s):  
Houda Boumaza ◽  
Suzy Markossian ◽  
Baptiste Busi ◽  
Gilles J.P. Rautureau ◽  
Karine Gauthier ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Thyroid Hormone ◽  
Magnetic Resonance ◽  
Mouse Models ◽  
Diagnostic Tool ◽  
Hormone Receptor ◽  
Thyroid Hormone Receptor ◽  
Body Fluids ◽  
Metabolomic Profiling ◽  
Nuclear Magnetic

scholarly journals Development of an optimized method for processing peripheral blood mononuclear cells for 1H-nuclear magnetic resonance-based metabolomic profiling

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247668
Author(s):  
León Gabriel Gómez-Archila ◽  
Martina Palomino-Schätzlein ◽  
Wildeman Zapata-Builes ◽  
Elkin Galeano
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Peripheral Blood Mononuclear Cells ◽  
Peripheral Blood ◽  
Mononuclear Cells ◽  
Human Peripheral Blood ◽  
Peripheral Blood Mononuclear ◽  
Metabolomic Profiling ◽  
Blood Mononuclear Cells ◽  
Nuclear Magnetic

Human peripheral blood mononuclear cells (PBMCs) are part of the innate and adaptive immune system, and form a critical interface between both systems. Studying the metabolic profile of PBMC could provide valuable information about the response to pathogens, toxins or cancer, the detection of drug toxicity, in drug discovery and cell replacement therapy. The primary purpose of this study was to develop an improved processing method for PBMCs metabolomic profiling with nuclear magnetic resonance (NMR) spectroscopy. To this end, an experimental design was applied to develop an alternative method to process PBMCs at low concentrations. The design included the isolation of PBMCs from the whole blood of four different volunteers, of whom 27 cell samples were processed by two different techniques for quenching and extraction of metabolites: a traditional one using organic solvents and an alternative one employing a high-intensity ultrasound probe, the latter with a variation that includes the use of deproteinizing filters. Finally, all the samples were characterized by 1H-NMR and the metabolomic profiles were compared by the method. As a result, two new methods for PBMCs processing, called Ultrasound Method (UM) and Ultrasound and Ultrafiltration Method (UUM), are described and compared to the Folch Method (FM), which is the standard protocol for extracting metabolites from cell samples. We found that UM and UUM were superior to FM in terms of sensitivity, processing time, spectrum quality, amount of identifiable, quantifiable metabolites and reproducibility.

Proton nuclear magnetic resonance spectroscopy of body fluids in the field of inborn errors of metabolism

2003 ◽  
Vol 40 (1) ◽  
pp. 16-24 ◽  
Author(s):  
S.H. Moolenaar ◽  
U.F.H. Engelke ◽  
R.A. Wevers
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Nmr Spectroscopy ◽  
Magnetic Resonance ◽  
Inborn Errors Of Metabolism ◽  
Metabolic Diseases ◽  
Body Fluids ◽  
Proton Nuclear Magnetic Resonance ◽  
Resonance Spectroscopy ◽  
Inborn Errors ◽  
Nuclear Magnetic

Proton nuclear magnetic resonance (NMR) spectroscopy of body fluids has been successfully applied to the field of inborn errors of metabolism. This technique has the advantage of minimal sample pretreatment not requiring extraction or derivatization steps. Moreover, the spectrum provides a comprehensive metabolic profile of proton-containing, low-molecular-weight metabolites. The sensitivity limit is in the low micromolar range. This allows diagnosis of many inborn errors of metabolism. This review explains the key features of the NMR spectrum and reviews the available literature on metabolic diseases. Three novel diseases have been delineated with the technique. Relevant parts of the spectra from the urine samples of patients with these diseases are shown. NMR spectroscopy may develop to become a key tool in a metabonomics approach in clinical biochemistry.

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