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Standardization and quality control of PCR analyses
1Roche Diagnostics Switzerland, Molecular Systems, Rotkreuz. Hans-Joachim.Burkardt@roche.com
Clinical Chemistry and Laboratory Medicine
|June 2, 2000
Summary
Polymerase chain reaction (PCR) tests for infectious agents are reliable with uracil-N-glycosylase technology, but vigilance against human error and sample inhibition is crucial for accurate diagnosis.
Area of Science:
- Molecular Biology
- Medical Diagnostics
- Infectious Disease Research
Background:
- Early polymerase chain reaction (PCR) diagnostic tests for infectious agents were prone to false-positive results due to contamination.
- The implementation of uracil-N-glycosylase (UNG) technology has largely resolved contamination-related false positives in PCR.
- However, other sources of diagnostic errors, including human error, suboptimal protocols, and amplification of DNA from non-viable organisms, persist.
Purpose of the Study:
- To address the persistent challenges in achieving accurate PCR-based diagnosis of infectious agents.
- To highlight remaining sources of false-positive and false-negative results in PCR diagnostics.
- To review strategies for overcoming PCR inhibition and discuss quality control findings.
Main Methods:
- Review of anticontamination technologies, specifically uracil-N-glycosylase (UNG).
- Analysis of potential sources of false-positive results beyond contamination (human error, protocol deficiencies, amplification of dead organism DNA).
- Discussion of factors leading to false-negative PCR results, focusing on sample inhibition and interfering substances.
Main Results:
- UNG technology effectively mitigates contamination-induced false positives in PCR.
- False positives can still arise from human error, inadequate PCR protocols, and amplification of DNA from dead pathogens.
- False negatives are often caused by PCR inhibitors present in patient samples, alongside other protocol or human-related issues.
Conclusions:
- While UNG technology has improved PCR accuracy, careful attention to protocols and potential sources of error remains essential.
- Recognizing and mitigating sample inhibition is key to preventing false-negative PCR results.
- Quality control studies underscore the importance of robust amplification and detection methods for reliable infectious agent diagnosis.