Qualitative and Quantitative NMR Approaches in Blood Serum Lipidomics

Barbosa, Banny Silva; Martins, Lucas G.; Costa, Tássia Brena Barroso Carneiro; Cruz, Guilherme; Tasić, Ljubica

doi:10.1007/978-1-4939-7614-0_25

Cited by 12 publications

(2 citation statements)

References 38 publications

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“…The diffusion-edited pulse sequence also allows for the selective observation of macromolecules in an NMR spectrum [49]. The Longitudinal Eddy-Current Delay (LED) pulse sequence exploits the significant difference in the molecular weight-dependent translational diffusion coefficient between small molecules and macromolecules (Figure 3A) [66,67].…”

Section: Nmr Approaches To Filter Macromolecules For Metabolite Quantificationmentioning

confidence: 99%

Quantitative NMR-Based Biomedical Metabolomics: Current Status and Applications

Crook

Powers

2020

Molecules

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Nuclear Magnetic Resonance (NMR) spectroscopy is a quantitative analytical tool commonly utilized for metabolomics analysis. Quantitative NMR (qNMR) is a field of NMR spectroscopy dedicated to the measurement of analytes through signal intensity and its linear relationship with analyte concentration. Metabolomics-based NMR exploits this quantitative relationship to identify and measure biomarkers within complex biological samples such as serum, plasma, and urine. In this review of quantitative NMR-based metabolomics, the advancements and limitations of current techniques for metabolite quantification will be evaluated as well as the applications of qNMR in biomedical metabolomics. While qNMR is limited by sensitivity and dynamic range, the simple method development, minimal sample derivatization, and the simultaneous qualitative and quantitative information provide a unique landscape for biomedical metabolomics, which is not available to other techniques. Furthermore, the non-destructive nature of NMR-based metabolomics allows for multidimensional analysis of biomarkers that facilitates unambiguous assignment and quantification of metabolites in complex biofluids.

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Section: Nmr Approaches To Filter Macromolecules For Metabolite Quantificationmentioning

confidence: 99%

Quantitative NMR-Based Biomedical Metabolomics: Current Status and Applications

Crook

Powers

2020

Molecules

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“…Furthermore, Lopes et al [50] were able to find that circulating HDL increases, and LDL and VLDL decrease in obese patients after bariatric surgery by using DOSY experiments to monitor these lipoproteins. Notably, lipoprotein investigations and quantitative analysis of lipids can be performed using NMR of the same sample [51].…”

Section: Nuclear Magnetic Resonance Spectroscopy: Application In Biolmentioning

confidence: 99%

Analytical Tools for Lipid Assessment in Biological Assays

Correia¹,

Torrinhas²,

Ohashi³

et al. 2020

Advances in Lipid Metabolism

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Lipids are heterogeneous biological molecules with many important roles. In human body, lipids can be energy substrates, steroid hormones, inflammatory lipid mediators, transporters, and feature as structural cell and organelle membrane elements. At the cell membrane, lipids influence the distribution of surface proteins and, in part, protein signaling and, consequently, the activation of transcriptional factors. One of the best explored relationships in chemistry and science is the structure/activity one. Therefore, if the composition of a mixture is discovered and the structure of its components is known, a task of proposing relationship among all components and their activity would be closer to understanding. There are many powerful and advantageous analytical and bioanalytical tools available for the study of lipids, but all show at least some limitations. Knowing the advantages/disadvantages of each technique is essential for choosing the most appropriate one for the analysis as to answer a scientific question about lipid composition and role within a biological model. Often, inexperience and little familiarity with the cited analytical resources may limit the validity of the obtained results. Our chapter aims to present and discuss different tools available for the study of lipids and their main applications in biological assays.

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Hochdurchsatz‐Metabolomik mit 1D‐NMR

et al. 2018

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Metabolomik befasst sich mit der Gesamtheit aller Metabolite, dem Metabolom. Als eine der “Omics”‐Wissenschaften hat sie Querbeziehungen zur Biologie, Physiologie, Pathologie und Medizin; andererseits sind Metabolite chemische Verbindungen, kleine organische Moleküle oder anorganische Ionen. Ihre korrekte Identifizierung und Quantifizierung in komplexen biologischen Matrizen erfordert daher eine solide chemische Grundlage. Im Vergleich beispielsweise zu DNA unterliegen Metabolite sehr viel stärker der Oxidation oder dem enzymatischen Abbau: Wir können große Teile eines Mammut‐Genoms aus einer kleinen Probe rekonstruieren, sind aber nicht in der Lage, dasselbe mit seinem Metabolom zu tun, das innerhalb weniger Stunden nach dem Tod des Tieres wahrscheinlich weitgehend abgebaut war. Erforderlich sind daher Standardverfahren, gute chemische Fertigkeiten der Probenvorbereitung für die Lagerung und anschließende Analyse, genaue analytische Protokolle, eine umfangreiche Kenntnis der Chemometrie, erweiterte statistische Verfahren und fundiertes Wissen über mindestens eine der beiden Metabolomik‐typischen Verfahren, MS oder NMR. All diese Fertigkeiten besitzen traditionell die Chemiker. Entsprechend betrachten wir die Metabolomik aus chemischer Perspektive und beschränken uns auf NMR. Der Analytiker findet Argumente für und gegen NMR, jedoch bietet das Verfahren eine besondere ganzheitliche Perspektive, die für künftige Anwendungen als eine bevölkerungsweite Screeningtechnik für Reihenuntersuchungen sprechen.

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Qualitative and Quantitative NMR Approaches in Blood Serum Lipidomics

Cited by 12 publications

References 38 publications

Quantitative NMR-Based Biomedical Metabolomics: Current Status and Applications

Quantitative NMR-Based Biomedical Metabolomics: Current Status and Applications

Analytical Tools for Lipid Assessment in Biological Assays

Hochdurchsatz‐Metabolomik mit 1D‐NMR

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