Nmr Metabolomics
Nmr Metabolomics - Related Videos
11:47
Concentration of Metabolites from Low-density Planktonic Communities for Environmental Metabolomics using Nuclear Magnetic Resonance Spectroscopy
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Cited by 15 •
2012
A method for metabolite extraction from microbial planktonic communities is presented. Whole community sampling is achieved by filtration onto specially prepared filters. After lyophilization, aqueous-soluble metabolites are extracted. This approach allows for application of environmental metabolomics to trans-omics investigations of natural or experimental microbial communities.
11:02
Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
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Cited by 3 •
2024
Nuclear magnetic resonance (NMR) spectroscopy is used to identify dysregulation in the metabolites in patients with various diseases. This technique allows the quantification of the deranged metabolites, unraveling the pathophysiological insights. Here, we describe the step-by-step procedure of the NMR-based approach for the metabolic characterization of the patients.
07:56
Sample Preparation of Mycobacterium tuberculosis Extracts for Nuclear Magnetic Resonance Metabolomic Studies
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Cited by 8 •
2012
The metabolomic profile of Mycobacterium tuberculosis is determined after growth in broth cultures. Conditions can be varied to test the effects of nutritional supplements, oxidants, and anti-tuberculosis agents on the metabolic profile of this microorganism. Procedure for extract preparation is applicable for both 1D 1H and 2D 1H-13C NMR analyses.
07:34
Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
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Cited by 18 •
2013
Non-targeted metabolite profiling by ultra performance liquid chromatography coupled with mass spectrometry (UPLC-MS) is a powerful technique to investigate metabolism. This article outlines a typical workflow utilized for non-targeted metabolite profiling of serum including sample organization and preparation, data acquisition, data analysis, quality control, and metabolite identification.
09:24
Application and Methodology of the Non-destructive 19F Time-domain NMR Technique to Measure the Content in Fluorine-containing Drug Products
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Cited by 2 •
2017
A simple and non-destructive technique that measures the average content of drug substances in formulated drug products containing fluorine using low-field fluorine-19 (19F) time-domain (TD) nuclear magnetic resonance (NMR) is presented here. The technique can be applied to the development and manufacturing of drugs in the pharmaceutical industry.
FAQs
The spectrum translates molecular properties into measurable patterns. In a strong magnetic field, nuclei such as hydrogen absorb radiofrequency energy and emit signals. A signal’s chemical shift reflects aspects of molecular structure, while its intensity reflects the amount present. Examining these features together lets investigators characterize metabolites and compare biochemical states across samples.
Chemical shifts and intensities answer different but complementary questions. Chemical shifts help assign signals to particular molecular structures, whereas intensities provide information about relative metabolite concentrations. Combining assignment with comparison of spectral patterns allows a study to move beyond detecting change: it can connect an altered profile with specific metabolites and assess how strongly biochemical states differ.
The strong magnetic field creates the condition required for metabolite nuclei to interact with radiofrequency energy. Nuclei such as hydrogen then generate signals that can be analyzed for chemical shift and intensity. This physical step is essential because it links the sample’s molecular composition to the spectral information used for downstream interpretation.
In infection studies, investigators interpret metabolic profiles in relation to immune activation, infection-associated patterns, and pathogen-host interactions. By comparing spectral patterns from relevant samples, they can identify changes linked to these biological states. This approach supports mechanism-focused analysis rather than treating every metabolic difference as an isolated biomarker.
Cells, tissues, or biofluids can each be analyzed with NMR metabolomics, so sample selection can match the biological question. These materials provide different views of biochemical state within the experimental system. Using the appropriate sample type helps investigators examine immune activation, infection-associated profiles, or pathogen-host interactions in the context where they occur.
A basic study proceeds from sample measurement to spectral interpretation. Researchers acquire NMR signals from cells, tissues, or biofluids, examine chemical shifts and intensities, assign signals to metabolites, and compare spectral patterns between samples. The resulting profile can then be related to immune activation, infection-associated change, or another defined biochemical state.
NMR metabolomics supports biomarker discovery by revealing metabolites or spectral patterns that differ between biochemical states. In immunology and infection research, investigators can compare samples associated with immune activation or infection and identify candidate features for further study. The same measurements can also support mechanism-focused investigations by connecting profile changes with host-pathogen interactions.
Treatment response can be evaluated by comparing metabolic profiles across relevant sample groups or experimental states. Changes in spectral patterns, assigned metabolites, or signal intensities may indicate that the biochemical state has shifted after treatment. This makes the approach useful for examining response-associated metabolism alongside biomarker discovery and mechanistic studies.