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Published on: December 9, 2015
Translating molecular medicine into clinical tools: doomed to fail by neglecting basic preanalytical principles
Klaus Jung1, Ferdinando Mannello, Michael Lein
1Department of Urology, Charité - Universitätsmedizin Berlin, Campus Mitte, Schumannstr. 20/21, 10117 Berlin, Germany. klaus.jung@charite.de
This commentary highlights issues with measuring matrix metalloproteinase 9 (MMP-9) in pseudoxanthoma elasticum patient serum. Using serum for MMP-9 analysis hinders translational medicine due to inaccurate, elevated results.
Area of Science:
- Biochemistry
- Translational Medicine
- Clinical Diagnostics
Background:
- Matrix metalloproteinase 9 (MMP-9) is a key enzyme implicated in various physiological and pathological processes.
- Pseudoxanthoma elasticum (PXE) is a rare genetic disorder affecting connective tissue, with potential links to MMPs.
- Accurate measurement of circulating biomarkers is crucial for advancing translational medicine.
Purpose of the Study:
- To comment on a study measuring MMP-9 in pseudoxanthoma elasticum (PXE) patient serum.
- To highlight the challenges and limitations of using serum for MMP-9 quantification in translational research.
- To emphasize the need for appropriate sample selection in biomarker studies.
Main Methods:
- The commentary reviews a published study that measured MMP-9 concentrations in serum samples from PXE patients.
- It references comparative analyses of MMP-9 levels in serum versus plasma.
- The discussion points to the inherent limitations of serum as a sample matrix for MMP-9 determination.
Main Results:
- Serum measurements of MMP-9 in PXE patients were found to be potentially unreliable.
- Comparative studies indicate significantly higher MMP-9 levels in serum compared to plasma.
- This discrepancy is attributed to the release of MMP-9 from leukocytes and platelets during serum coagulation.
Conclusions:
- The use of serum for MMP-9 measurements in PXE patients presents a significant obstacle to effective translational medicine.
- Translational research requires careful consideration of sample matrices to ensure accurate biomarker quantification.
- Enhanced collaboration between basic researchers and clinicians is essential to prevent 'lost in translation' scenarios.
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