Malabsorption syndrome with and without small intestinal bacterial overgrowth: A study on upper‐gut aspirate using <sup>1</sup>H NMR spectroscopy

Bala, Lakshmi; Ghoshal, Uday C; Ghoshal, Ujjala; Tripathi, Parul; Misra, Asha; Gowda, G. A. Nagana; Khetrapal, C. L.

doi:10.1002/mrm.21041

Cited by 59 publications

(47 citation statements)

References 31 publications

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“…A major challenge in the present practice of clinical medicine is the lack of suitable biomarkers and bioanalytical technologies for earlier detection of numerous diseases. Metabolic profiling or metabolomics, defined as the analysis of multiple biofluid metabolites in parallel, holds the promise of earlier disease detection and improved understanding of systems biology (1)(2)(3). Early indications of this potential have been reported for the detection of several diseases, including inborn errors of metabolism, cardiovascular diseases, and cancer (4)(5)(6)(7).…”

mentioning

confidence: 99%

Class selection of amino acid metabolites in body fluids using chemical derivatization and their enhanced ¹³ C NMR

Shanaiah

DeSilva

Gowda

et al. 2007

Proc. Natl. Acad. Sci. U.S.A.

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We report a chemical derivatization method that selects a class of metabolites from a complex mixture and enhances their detection by 13 C NMR. Acetylation of amines directly in aqueous medium with 1,1 -13 C2 acetic anhydride is a simple method that creates a high sensitivity and quantitative label in complex biofluids with minimal sample pretreatment. Detection using either 1D or 2D 13 C NMR experiments produces highly resolved spectra with improved sensitivity. Experiments to identify and compare amino acids and related metabolites in normal human urine and serum samples as well as in urine from patients with the inborn errors of metabolism tyrosinemia type II, argininosuccinic aciduria, homocystinuria, and phenylketonuria demonstrate the method. The use of metabolite derivatization and 13 C NMR spectroscopy produces data suitable for metabolite profiling analysis of biofluids on a time scale that allows routine use. Extension of this approach to enhance the NMR detection of other classes of metabolites has also been accomplished. The improved detection of low-concentration metabolites shown here creates opportunities to improve the understanding of the biological processes and develop improved disease detection methodologies.carbon-13 ͉ inborn errors of metabolism ͉ metabolite profiling ͉ metabolomics ͉ metabonomics T he metabolic profile in biofluids represents a snapshot of ongoing biological processes in the human body. The presence of a particular metabolite, panel of metabolites, or a certain ratio of metabolites can indicate normal homeostasis, a response to biological stress, or even a specific disease state. Conventional medical diagnostic methods are typically based on the selective detection of a single or a few biochemical parameters that are associated with a given disease. A major challenge in the present practice of clinical medicine is the lack of suitable biomarkers and bioanalytical technologies for earlier detection of numerous diseases. Metabolic profiling or metabolomics, defined as the analysis of multiple biofluid metabolites in parallel, holds the promise of earlier disease detection and improved understanding of systems biology (1-3). Early indications of this potential have been reported for the detection of several diseases, including inborn errors of metabolism, cardiovascular diseases, and cancer (4-7).NMR and mass spectrometry are the two most often used analytical methods for metabolite profiling because of their high resolution and rich data content (8)(9)(10)(11)(12)(13)(14). Although mass spectrometry is the more sensitive technique, NMR provides broad coverage of the metabolome by detecting all of the (hydrogencontaining) metabolites present in the biofluid simultaneously, with excellent reproducibility and only limited sample pretreatment. Thus, for example, many classic inborn errors of metabolism (IEM) can be diagnosed by the use of 1 H NMR spectroscopy of body fluids (15-17). Several of the IEM are associated with the accumulation of amino acids as metabolites in serum an...

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confidence: 99%

Class selection of amino acid metabolites in body fluids using chemical derivatization and their enhanced ¹³ C NMR

Shanaiah

DeSilva

Gowda

et al. 2007

Proc. Natl. Acad. Sci. U.S.A.

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“…It is well known that bacteria produce a multitude of metabolites under appropriate conditions. Furthermore, the quantity of bacterial metabolites like ethanol increased significantly with increasing bacterial count, establishing their link with the bacteria [34]. The concentration of creatine in urine samples increased after 24h at room temperature ( Figure 3A: left side), while the concentration of creatinine decreased (data not shown).…”

Section: Long-term Stability Of the Urine Metabolomementioning

confidence: 89%

Quality assurance in the pre-analytical phase of human urine samples by 1H NMR spectroscopy

Budde

Gök

Pietzner

et al. 2016

Archives of Biochemistry and Biophysics

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“…Malabsorption is a pathological alteration regarding nutrients transport, digestion or absorption through the small bowel's wall [1].…”

Section: Definitionmentioning

confidence: 99%

Bowel malabsorption

Crocella¹,

Rocca²,

Migliardi³

et al. 2008

Immuno-analyse & Biologie Spécialisée

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Malabsorption syndrome with and without small intestinal bacterial overgrowth: A study on upper‐gut aspirate using ¹H NMR spectroscopy

Cited by 59 publications

References 31 publications

Class selection of amino acid metabolites in body fluids using chemical derivatization and their enhanced ¹³ C NMR

Class selection of amino acid metabolites in body fluids using chemical derivatization and their enhanced ¹³ C NMR

Quality assurance in the pre-analytical phase of human urine samples by 1H NMR spectroscopy

Bowel malabsorption

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Malabsorption syndrome with and without small intestinal bacterial overgrowth: A study on upper‐gut aspirate using 1H NMR spectroscopy

Cited by 59 publications

References 31 publications

Class selection of amino acid metabolites in body fluids using chemical derivatization and their enhanced 13 C NMR

Class selection of amino acid metabolites in body fluids using chemical derivatization and their enhanced 13 C NMR

Quality assurance in the pre-analytical phase of human urine samples by 1H NMR spectroscopy

Bowel malabsorption

Contact Info

Product

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Malabsorption syndrome with and without small intestinal bacterial overgrowth: A study on upper‐gut aspirate using ¹H NMR spectroscopy

Class selection of amino acid metabolites in body fluids using chemical derivatization and their enhanced ¹³ C NMR

Class selection of amino acid metabolites in body fluids using chemical derivatization and their enhanced ¹³ C NMR