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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Representative Results
  • Discussion
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

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.

Abstract

Metabolomics is emerging as a significant approach to reflect the individual's response to pathophysiological conditions. Nuclear magnetic resonance (NMR) spectroscopy has evolved as a tool to identify metabolic dysregulations in critically ill patients afflicted with conditions like acute respiratory distress syndrome (ARDS), severe acute pancreatitis (SAP), acute kidney injury (AKI), and sepsis. The spectral data from the serum sample of the study and control group are recorded using an 800 MHz NMR spectrometer and processed using NMR processing and analysis tools. Furthermore, a rigorous statistical analysis, such as univariate and multivariate tests, is performed to pinpoint significant metabolites, which are then accurately identified and quantified using NMR metabolite quantification software. Additionally, pathway analysis highlights the deranged biochemical cycles that result in the severity of illness. Through this comprehensive approach, researchers aim to gain deeper insights into the metabolic alterations associated with these critical illnesses, potentially paving the way for a better understanding of the disease and improved diagnostics and treatment strategies.

Introduction

Despite continuous efforts to provide efficient disease diagnosis worldwide, targeted therapy has still not achieved its true potential. Various approaches, such as transcriptomics, proteomics, etc., have resulted in the identification of several biomarkers, but these did not hold enough clinical utility because of the lack of sensitivity and specificity1,2. Targeted therapy is a big challenge in some multifactorial diseases, eventually leading to higher mortality. There is a need for a better understanding of the underlying mechanism and pathophysiology of complex diseases existing with ....

Protocol

Ethical approval (IEC code: 2022-71-PhD-126) was obtained from the IEC of Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow. Written and informed consents were taken from the patients or their relatives to perform the study and publish the data for research purpose. Moreover, the research was conducted following the institutional guidelines.

1. Study design and ethical clearance

  1. Determine the sample size for each group. Carefully review an.......

Representative Results

To conduct a metabolomics study, it is essential to determine the sample size and the specific groups that will be analyzed. Selecting an adequate sample size is essential for obtaining significant results that accurately correlate with disease severity48. However, in this particular work, we used a small sample size to demonstrate the steps involved in the identification and quantification of metabolites using NMR-based metabolomics, which was intended primarily for reference. In this study, we e.......

Discussion

Metabolomics efficiently identifies and quantifies metabolites, targeting the metabolic cycles that become deranged during disease. The quality of the results depends on the meticulous execution of each step in the metabolomics approach. Every stage, from sample selection and collection to pathway identification, is critical in accurately identifying the primary factors contributing to the disease. Before performing metabolomics, a thorough review of the literature is essential, and careful attention must be paid at ever.......

Acknowledgements

AS acknowledges the Academy of Scientific and Innovative Research (AcSIR) for the registration (Registration No. 10BB22A71002). AS also acknowledges Defence Research and Development Organization (DRDO) for the fellowship. We acknowledge the Centre of Biomedical Research (CBMR) for providing the 800 MHz NMR spectrometer facility and funding through the intramural project (CBMR/IMR/0008/2021). We also acknowledge the Department of Critical Care Medicine (CCM), SGPGIMS, for constant support. We acknowledge the help of many nurses as well as, most importantly, the patients enrolled in this study. This study was funded by the intramural project (CBMR/IMR/0008/2021) of the ....

Materials

NameCompanyCatalog NumberComments
CentirfugeSigma aldrich3-18KS
Chenomx NMR suite NMR Suite, v9, Chenomx Inc., Edmonton, CanadaNMR metabolite quantification software
Co-axial insertSigma aldrichZ278513
Deuterim oxideSigma aldrich151882
Eppendorf tubesTarsons500020
MetaboanalystWishart Research GroupMetabolomics statistical analysis software
NMR tubeWilmadZ4120075mm diameter
PipetteEppendorf research plus31230000390-100 μl
Sample collection vialsTarsons cryo chill vials523194
Sodium azideSigma aldrichS2002
Sodium chloride crystalSigma aldrichS9625
Sodium phosphate dibasicSigma aldrich567550
Sodium phosphate monobasicSigma aldrichS0751
Topspin 3.6.4BrukerNMR processing and analysis tool
Tsp saltSigma aldrich269913

References

  1. Rubenfeld, G. D. Confronting the frustrations of negative clinical trials in acute respiratory distress syndrome. Ann. Am. Thorac. Soc. 12 (Supplement 1), S58-S63 (2015).
  2. Ware, L. B., et al.

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MetabolomicsNMR SpectroscopyMetabolic DysregulationsCritically Ill PatientsAcute Respiratory Distress SyndromeSevere Acute PancreatitisAcute Kidney InjurySepsisSpectral DataNMR ProcessingStatistical AnalysisSignificant MetabolitesMetabolite QuantificationPathway AnalysisBiochemical Cycles

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