The Proteome Profile of Stress Test Assessed Cardiovascular Disease Risk-Prone Diabetic Subjects

Yugendra R Patil1,2, Shalbha Tiwari3, A G Unnikrishnan3

  • 1Biochemical Sciences Division, CSIR-National Chemical Laboratory, Dr Homi Bhabha Road, Pashan, Pune, 411008, India.

Insights

Researchers identified novel plasma proteins (CO4B, PON1, LUM) as potential biomarkers for cardiovascular disease (CVD) risk in diabetic individuals. These markers may offer an alternative to traditional treadmill testing (TMT) for assessing CVD risk.

Area of Science:

  • Biochemistry
  • Proteomics
  • Cardiovascular Medicine

Background:

  • Cardiovascular disease (CVD) is the primary cause of mortality in individuals with diabetes.
  • Accurate prediction of CVD risk in diabetics requires specific and reliable biomarkers.
  • Current methods like the treadmill test (TMT) have limitations in assessing CVD risk.

Purpose of the Study:

  • To identify novel plasma protein biomarkers for assessing cardiovascular disease (CVD) risk in diabetic individuals.
  • To compare plasma proteome profiles of diabetic stress test positive (DSTP) and diabetic stress test negative (DSTN) subjects.
  • To validate potential CVD biomarkers using targeted mass spectrometry.

Main Methods:

  • Utilized SWATH-MS-based label-free quantitative mass spectrometry to analyze plasma proteomes.
  • Identified differentially expressed proteins (DEPs) between DSTP and DSTN groups.
  • Validated key CVD-relevant DEPs using targeted mass spectrometry (MRM-HR) and ROC analysis.

Main Results:

  • Identified CO4B, PON1, and LUM as significantly differentially expressed proteins in diabetic subjects with varying CVD risk.
  • Achieved significant area under the curve (AUC) values of 0.97 for CO4B, 0.79 for PON1, and 0.77 for LUM via ROC analysis.
  • Demonstrated consistent differential expression of these proteins across both quantitative mass spectrometry approaches.

Conclusions:

  • CO4B, PON1, and LUM are proposed as potential alternative biomarkers for assessing CVD risk in the diabetic population.
  • These identified proteins may help overcome the limitations associated with traditional treadmill testing (TMT).
  • Further validation in larger cohorts is recommended to confirm the clinical utility of these novel biomarkers.

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