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Optimization for peptide sample preparation for urine peptidomics.

Tara K Sigdel, Carrie D Nicora, Szu-Chuan Hsieh

  • 1California Pacific Medical Center Research Institute, 475 Brannan St,, Ste 220, San Francisco, CA 9410, USA. Dave.Camp@pnnl.gov.

Clinical Proteomics
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Summary
This summary is machine-generated.

A modified solid phase extraction (mSPE) method significantly improves urine peptidomics analysis. This novel approach enhances peptide identification and reduces sample preparation interference for better disease biomarker discovery.

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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Biomarker Discovery

Background:

  • Native peptide analysis in biofluids offers insights into disease mechanisms and potential non-invasive biomarkers.
  • Urine peptidomics is attractive for renal disease research due to non-invasive collection and abundant peptides.
  • Conventional sample preparation for urine peptidomics using solid phase extraction (SPE) faces challenges with matrix interference, impacting peptide identification and analysis depth.

Purpose of the Study:

  • To develop and evaluate a modified solid phase extraction (mSPE) method for improved urine sample preparation in liquid chromatography-mass spectrometry (LC-MS) based peptidomics.
  • To assess the mSPE method's efficiency in terms of peptide yield, quality, analysis sensitivity, and reduction of matrix interferences compared to standard SPE.
  • To investigate the utility of mSPE for identifying urinary peptide biomarkers, particularly in the context of acute renal transplant rejection.

Main Methods:

  • A novel modified solid phase extraction (mSPE) technique was developed and compared against the standard solid phase extraction (SPE) method for urine sample preparation.
  • Both methods were analyzed for time, cost, LC-MS column clogging, peptide yield, peptide quality, and the number of identified peptides.
  • Technical replicates were used to statistically compare the efficiencies and outcomes of SPE and mSPE in LC-MS based peptidomics.

Main Results:

  • The mSPE method demonstrated comparable time and cost to SPE but significantly reduced matrix interferences, such as urobilin coloration and LC-MS column clogging.
  • mSPE resulted in substantially higher peptide identification rates (82%) compared to SPE (18%), with high statistical significance (p=8.92E-05).
  • mSPE enabled the identification of specific peptide patterns related to differential peptidase activation during acute renal transplant rejection, which were obscured using conventional SPE.

Conclusions:

  • The modified SPE (mSPE) method is superior to conventional SPE for urine peptide sample preparation in LC-MS peptidomics.
  • mSPE provides optimized sample cleanup, leading to improved peptide identification, increased analysis sensitivity, and enhanced experimental inference.
  • This improved methodology facilitates more confident identification of urinary peptides, advancing the potential for non-invasive disease monitoring and biomarker discovery.