Journal article
Using molecular similarity to highlight the challenges of routine immunoassay-based drug of abuse/toxicology screening in emergency medicine
BMC emergency medicine, Vol.9(1), pp.5-5
04/28/2009
DOI: 10.1186/1471-227X-9-5
PMCID: PMC2688477
PMID: 19400959
Abstract
Background: Laboratory tests for routine drug of abuse and toxicology (DOA/Tox) screening, often used in emergency medicine, generally utilize antibody-based tests (immunoassays) to detect classes of drugs such as amphetamines, barbiturates, benzodiazepines, opiates, and tricyclic antidepressants, or individual drugs such as cocaine, methadone, and phencyclidine. A key factor in assay sensitivity and specificity is the drugs or drug metabolites that were used as antigenic targets to generate the assay antibodies. All DOA/Tox screening immunoassays can be limited by false positives caused by cross-reactivity from structurally related compounds. For immunoassays targeted at a particular class of drugs, there can also be false negatives if there is failure to detect some drugs or their metabolites within that class.
Methods: Molecular similarity analysis, a computational method commonly used in drug discovery, was used to calculate structural similarity of a wide range of clinically relevant compounds (prescription and over-the-counter medications, illicit drugs, and clinically significant metabolites) to the target ('antigenic') molecules of DOA/Tox screening tests. These results were compared with cross-reactivity data in the package inserts of immunoassays marketed for clinical testing. The causes for false positives for phencyclidine and tricyclic antidepressant screening immunoassays were investigated at the authors' medical center using gas chromatography/mass spectrometry as a confirmatory method.
Results: The results illustrate three major challenges for routine DOA/Tox screening immunoassays used in emergency medicine. First, for some classes of drugs, the structural diversity of common drugs within each class has been increasing, thereby making it difficult for a single assay to detect all compounds without compromising specificity. Second, for some screening assays, common 'out-of-class' drugs may be structurally similar to the target compound so that they account for a high frequency of false positives. Illustrating this point, at the authors' medical center, the majority of positive screening results for phencyclidine and tricyclic antidepressants assays were explained by out-of-class drugs. Third, different manufacturers have adopted varying approaches to marketed immunoassays, leading to substantial inter-assay variability.
Conclusion: The expanding structural diversity of drugs presents a difficult challenge for routine DOA/Tox screening that limit the clinical utility of these tests in the emergency medicine setting.
Details
- Title: Subtitle
- Using molecular similarity to highlight the challenges of routine immunoassay-based drug of abuse/toxicology screening in emergency medicine
- Creators
- Matthew D Krasowski - Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USAAnthony F Pizon - Department of Emergency Medicine, Division of Medical Toxicology, University of Pittsburgh Medical Center, Pittsburgh, PA, USAMohamed G Siam - Department of Forensic Medicine and Toxicology, Zagazig University, Zagazig, EgyptSpiros Giannoutsos - Department of Pathology, Division of Clinical Chemistry, Toxicology and Therapeutic Drug Monitoring Laboratory, University of Pittsburgh Medical Center Presbyterian/Shadyside, Pittsburgh, PA, USAManisha Iyer - Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USASean Ekins - Collaborations in Chemistry, Jenkintown, PA, USA
- Resource Type
- Journal article
- Publication Details
- BMC emergency medicine, Vol.9(1), pp.5-5
- DOI
- 10.1186/1471-227X-9-5
- PMID
- 19400959
- PMCID
- PMC2688477
- NLM abbreviation
- BMC Emerg Med
- ISSN
- 1471-227X
- eISSN
- 1471-227X
- Publisher
- BioMed Central
- Language
- English
- Date published
- 04/28/2009
- Academic Unit
- Pathology
- Record Identifier
- 9984047691802771
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