Desharnais, Brigitte ORCID: https://orcid.org/0000-0001-7373-656X (2019) Mathematical Method Validation Tools for Application to a Proteomics Approach of Postmortem Metabolic Capacity Estimation. PhD thesis, Concordia University.
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Abstract
In postmortem cases, forensic toxicologists perform analyses for legal and illegal drugs, volatile substances, poisons and biochemical parameters in order to determine the causes and circumstances of death.
Evaluation of the metabolic capacity of an individual might help to achieve this goal. Knowledge that the deceased had a poor metabolic capacity might help differentiate between medical error and accidental overdose, for example.
Traditionally, DNA analysis of genes encoding for metabolizing enzymes has been used for this purpose. However, the genotype can be quite a poor predictor of phenotype; intervening factors such as sex, age, presence of inducers or inhibitors act as confouding factors.
A proof-of-concept methodology estimating the postmortem metabolic capacity through characterization and quantification of cytochrome P450 (CYP) enzymes in liver tissue is presented here. Combining quantitative proteomics with detection of the peptides bearing mutation sites allowed for a more accurate estimation of the metabolic capacity than genotyping alone.
The current regulatory environment, and best practices, requires forensics bioanalytical methods to be validated. Anticipating the validation of this method, several methodological issues were foreseen.
In order to properly validate the quantitative part of the CYP analysis method, a simple, analyst-independent, and systematic procedure to choose and validate a calibration model (order, weighting) based on statistical analysis was developed. Additionally, the omnipresence of the target analyte(s) in authentic matrix (human liver) calls for a methodology allowing to deal with endogenous concentration(s) of analytes in matrices used to prepare calibration standards and quality control samples. An automated tool was developed to correct for the endogenous analytes’ concentration.
Finally, characterization of the CYP enzymes, via the monitoring of peptides bearing a mutation site, requires validation via a qualitative decision point method. Current guidelines about this type of analysis are ill adapted to deal with the binary nature of the results. A more suitable set of guidelines was developed and tested.
These mathematical method validation tools, in combination with the CYP analysis method, provide the necessary framework for metabolic capacity estimation in postmortem cases.
Divisions: | Concordia University > Faculty of Arts and Science > Chemistry and Biochemistry |
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Item Type: | Thesis (PhD) |
Authors: | Desharnais, Brigitte |
Institution: | Concordia University |
Degree Name: | Ph. D. |
Program: | Chemistry |
Date: | 13 July 2019 |
Thesis Supervisor(s): | Skinner, Cameron D. and Mireault, Pascal |
ID Code: | 986170 |
Deposited By: | BRIGITTE DESHARNAIS |
Deposited On: | 27 Oct 2022 13:50 |
Last Modified: | 27 Oct 2022 13:50 |
Additional Information: | This thesis contains three published papers: [1] B. Desharnais, F. Camirand-Lemyre, P. Mireault, C. D. Skinner, Procedure for the selection and validation of a calibration model I — Description and application, Journal of Analytical Toxicology 41 (4) (2017) 261–268. doi:10.1093/jat/bkx001. [2] B. Desharnais, F. Camirand-Lemyre, P. Mireault, C. D. Skinner, Procedure for the selection and validation of a calibration model II — Theoretical basis, Journal of Analytical Toxicology 41 (4) (2017) 269–276. doi:10.1093/jat/bkx002. [3] B. Desharnais, M.-J. Lajoie, J. Laquerre, S. Savard, P. Mireault, C. D. Skinner, A tool for automatic correction of endogenous concentrations: application to BHB analysis by LC–MS-MS and GC-MS, Journal of Analytical Toxicology 43 (7) (2019) 512–519. doi:10.1093/jat/bkz024. This thesis contains two papers accepted for publication with modifications: [4] F. Camirand Lemyre, B. Desharnais, J. Laquerre, M.-A. Morel, C. Côté, P. Mireault, C. D. Skinner, Qualitative method validation and uncertainty evaluation via the binary output I — Validation guidelines and theoretical foundations, Journal of Analytical Toxicology (2019) submission number JAT–19–2881. [5] B. Desharnais, M.-J. Lajoie, J. Laquerre, P. Mireault, C. D. Skinner, Qualitative method validation and uncertainty estimation via the binary output II — Application to a multi-analyte LC-MS/MS method for oral fluid, Journal of Analytical Toxicology (2019) submission number JAT–19–2882. |
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