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Related Concept Videos

Serum Studies: Renal Function Tests01:24

Serum Studies: Renal Function Tests

Renal function tests are crucial for assessing kidney health, monitoring disease progression, and evaluating the kidneys' efficiency in waste elimination, fluid balance, and electrolyte regulation. These tests offer critical insights into kidney function, even though routine measurements may appear normal until there is a significant decline in the glomerular filtration rate or GFR. Typically, signs of kidney impairment only become evident when the GFR falls to about 50% of its normal level.
Overview of Protein Metabolism01:21

Overview of Protein Metabolism

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Overview of Metabolism01:40

Overview of Metabolism

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Lipid-derived Compounds in the Human Body01:31

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What is Metabolism?

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Related Experiment Video

Updated: Jun 4, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
07:34

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

Published on: March 14, 2013

The human serum metabolome.

Nikolaos Psychogios1, David D Hau, Jun Peng

  • 1Department of Computing Science, University of Alberta, Edmonton, Canada.

Plos One
|March 2, 2011
PubMed
Summary
This summary is machine-generated.

Researchers characterized the human serum metabolome, identifying 4229 compounds. This comprehensive resource aids in understanding human metabolism and disease associations.

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Area of Science:

  • Metabolomics
  • Biochemistry
  • Analytical Chemistry

Background:

  • Growing demand for quantitative metabolic profiling.
  • Need for centralized metabolite reference resources for biofluids.
  • Importance of characterizing the human metabolome.

Purpose of the Study:

  • To systematically characterize the human serum metabolome.
  • To identify and quantify commonly detected metabolites in human serum.
  • To create a comprehensive reference resource for serum metabolites.

Main Methods:

  • Combined targeted and non-targeted NMR, GC-MS, and LC-MS.
  • Employed computer-aided literature mining.
  • Utilized multiple metabolomics platforms to enhance coverage.

Main Results:

  • Identified and quantified 4229 confirmed and highly probable human serum compounds.
  • Assessed the strengths and weaknesses of different metabolomics platforms.
  • Provided data on compound concentrations, literature references, and disease associations.

Conclusions:

  • Established a comprehensive characterization of the human serum metabolome.
  • The developed resource enhances understanding of human metabolism.
  • Facilitates research into disease associations with serum metabolites.