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Analytical and bioanalytical chemistry2006; 387(2); 533-537; doi: 10.1007/s00216-006-0979-z

Beyond blood sugar: the potential of NMR-based metabonomics for type 2 human diabetes, and the horse as a possible model.

Abstract: Metabonomic analysis is a powerful tool for identifying and characterizing metabolic disorders, for example type 2 diabetes and the metabolic syndrome. Nuclear magnetic resonance (NMR) spectroscopy is an essential tool for such analysis, with special benefits. The review assesses the current status and potential of NMR-based metabonomics of type 2 diabetes. The horse is proposed as a possible model for studying this condition and disease. Some examples are shown of horse blood analyses by NMR.
Publication Date: 2006-11-28 PubMed ID: 17131108DOI: 10.1007/s00216-006-0979-zGoogle Scholar: Lookup
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Summary

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The research article focuses on the utility of nuclear magnetic resonance (NMR) spectroscopy based metabonomics for the study and analysis of metabolic disorders like type 2 diabetes, and states that horses might serve as a plausible model for studying this condition.

Understanding metabonomics and NMR spectroscopy

  • Metabonomics is a technique used to study metabolic processes at a molecular level. It focuses on the comprehensive measurement of metabolites in biological systems to understand the biochemical changes associated with a disease state, such as type 2 diabetes.
  • Nuclear Magnetic Resonance (NMR) spectroscopy is a scientific method that uses the magnetic properties of certain atomic nuclei to study physical, chemical, and biological properties of matter. In the context of metabonomics, it provides key benefits such as being non-invasive, quantitative, and offering a high degree of reproducibility in metabolic profiling.

NMR-based Metabonomics and Type 2 Diabetes

  • The paper discusses the current status of NMR-based metabonomics as a powerful tool in the context of type 2 diabetes. This metabolic disorder is characterized by high blood sugar, insulin resistance, and lack of insulin.
  • With NMR-based metabonomics, researchers can explore and understand the complex metabolic alterations that occur in type 2 diabetes. This helps in identifying specific metabolic markers for type 2 diabetes, facilitating early diagnosis, more precise prognosis, and monitoring of the disease state.

The Horse as a Model for Studying Type 2 Diabetes

  • The study also proposes the potential of using horses as a model to study type 2 diabetes. That’s because horses also develop insulin resistance, a condition that’s similar to type 2 diabetes in humans, making them a fitting model.
  • By analyzing horse’s blood using NMR, the researchers give examples of how this technique can be used in real-world scenarios to understand the pathogenesis and progression of the disease. This could eventually lead to the development of novel therapeutic strategies for managing type 2 diabetes in humans.

Cite This Article

APA
Hodavance MS, Ralston SL, Pelczer I. (2006). Beyond blood sugar: the potential of NMR-based metabonomics for type 2 human diabetes, and the horse as a possible model. Anal Bioanal Chem, 387(2), 533-537. https://doi.org/10.1007/s00216-006-0979-z

Publication

ISSN: 1618-2642
NlmUniqueID: 101134327
Country: Germany
Language: English
Volume: 387
Issue: 2
Pages: 533-537

Researcher Affiliations

Hodavance, Michael S
  • Department of Chemistry, Princeton University, Princeton, NJ 08544, USA.
Ralston, Sarah L
    Pelczer, István

      MeSH Terms

      • Animals
      • Blood Glucose
      • Diabetes Mellitus, Type 2 / metabolism
      • Glucose / metabolism
      • Horses
      • Humans
      • Insulin / blood
      • Lipoproteins / blood
      • Magnetic Resonance Spectroscopy / methods
      • Metabolic Networks and Pathways
      • Metabolic Syndrome / metabolism
      • Models, Animal
      • Plasma / chemistry

      Citations

      This article has been cited 14 times.
      1. Jaggard MKJ, Boulangé CL, Graça G, Vaghela U, Akhbari P, Bhattacharya R, Williams HRT, Lindon JC, Gupte CM. Can metabolic profiling provide a new description of osteoarthritis and enable a personalised medicine approach?. Clin Rheumatol 2020 Dec;39(12):3875-3882.
        doi: 10.1007/s10067-020-05106-3pubmed: 32488772google scholar: lookup
      2. Le Moyec L, Robert C, Triba MN, Bouchemal N, Mach N, Rivière J, Zalachas-Rebours E, Barrey E. A First Step Toward Unraveling the Energy Metabolism in Endurance Horses: Comparison of Plasma Nuclear Magnetic Resonance Metabolomic Profiles Before and After Different Endurance Race Distances.. Front Mol Biosci 2019;6:45.
        doi: 10.3389/fmolb.2019.00045pubmed: 31245385google scholar: lookup
      3. Dai X, Su S, Cai H, Wei D, Yan H, Zheng T, Zhu Z, Shang EX, Guo S, Qian D, Duan JA. Protective Effects of Total Glycoside From Rehmannia glutinosa Leaves on Diabetic Nephropathy Rats via Regulating the Metabolic Profiling and Modulating the TGF-β1 and Wnt/β-Catenin Signaling Pathway.. Front Pharmacol 2018;9:1012.
        doi: 10.3389/fphar.2018.01012pubmed: 30271343google scholar: lookup
      4. Wang C, Peng J, Kuang Y, Zhang J, Dai L. Metabolomic analysis based on 1H-nuclear magnetic resonance spectroscopy metabolic profiles in tuberculous, malignant and transudative pleural effusion.. Mol Med Rep 2017 Aug;16(2):1147-1156.
        doi: 10.3892/mmr.2017.6758pubmed: 28627685google scholar: lookup
      5. Kruk J, Doskocz M, Jodłowska E, Zacharzewska A, Łakomiec J, Czaja K, Kujawski J. NMR Techniques in Metabolomic Studies: A Quick Overview on Examples of Utilization.. Appl Magn Reson 2017;48(1):1-21.
        doi: 10.1007/s00723-016-0846-9pubmed: 28111499google scholar: lookup
      6. Luck MM, Le Moyec L, Barrey E, Triba MN, Bouchemal N, Savarin P, Robert C. Energetics of endurance exercise in young horses determined by nuclear magnetic resonance metabolomics.. Front Physiol 2015;6:198.
        doi: 10.3389/fphys.2015.00198pubmed: 26347654google scholar: lookup
      7. Le Moyec L, Robert C, Triba MN, Billat VL, Mata X, Schibler L, Barrey E. Protein catabolism and high lipid metabolism associated with long-distance exercise are revealed by plasma NMR metabolomics in endurance horses.. PLoS One 2014;9(3):e90730.
        doi: 10.1371/journal.pone.0090730pubmed: 24658361google scholar: lookup
      8. Cui HZ, Wang LM, Zhao X, Liu YY, Wang SX, Li XH, Jiang YM, Chen JX. Metabonomics-based study of clinical urine samples in suboptimal health with different syndromes.. Evid Based Complement Alternat Med 2013;2013:509134.
        doi: 10.1155/2013/509134pubmed: 23401715google scholar: lookup
      9. Patterson AD, Bonzo JA, Li F, Krausz KW, Eichler GS, Aslam S, Tigno X, Weinstein JN, Hansen BC, Idle JR, Gonzalez FJ. Metabolomics reveals attenuation of the SLC6A20 kidney transporter in nonhuman primate and mouse models of type 2 diabetes mellitus.. J Biol Chem 2011 Jun 3;286(22):19511-22.
        doi: 10.1074/jbc.M111.221739pubmed: 21487016google scholar: lookup
      10. Brosnahan MM, Brooks SA, Antczak DF. Equine clinical genomics: A clinician's primer.. Equine Vet J 2010 Oct;42(7):658-70.
      11. Zhang S, Zheng C, Lanza IR, Nair KS, Raftery D, Vitek O. Interdependence of signal processing and analysis of urine 1H NMR spectra for metabolic profiling.. Anal Chem 2009 Aug 1;81(15):6080-8.
        doi: 10.1021/ac900424cpubmed: 19950923google scholar: lookup
      12. Zhang F, Robinette SL, Bruschweiler-Li L, Brüschweiler R. Web server suite for complex mixture analysis by covariance NMR.. Magn Reson Chem 2009 Dec;47 Suppl 1(Suppl 1):S118-22.
        doi: 10.1002/mrc.2486pubmed: 19634130google scholar: lookup
      13. Gowda GA, Zhang S, Gu H, Asiago V, Shanaiah N, Raftery D. Metabolomics-based methods for early disease diagnostics.. Expert Rev Mol Diagn 2008 Sep;8(5):617-33.
        doi: 10.1586/14737159.8.5.617pubmed: 18785810google scholar: lookup
      14. Zhang S, Nagana Gowda GA, Asiago V, Shanaiah N, Barbas C, Raftery D. Correlative and quantitative 1H NMR-based metabolomics reveals specific metabolic pathway disturbances in diabetic rats.. Anal Biochem 2008 Dec 1;383(1):76-84.
        doi: 10.1016/j.ab.2008.07.041pubmed: 18775407google scholar: lookup