A Novel Bioanalytical Method for the Determination of Opioids in Blood and Pericardial Fluid

Ferreira, Elisa Gabriela Monteiro; Real, Francisco Corte; Melo, Teresa M. V. D. Pinho e; Margalho, Cláudia

doi:10.1093/jat/bkaa064

Cited by 3 publications

(2 citation statements)

References 62 publications

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“…Furthermore, the detection of methadone, buprenorphine and tramadol in PF has, to the best of our knowledge, not been previously investigated. Oxycodone and fentanyl have been investigated in PF in one study, but not previously detected in real-life samples ( 34 ).…”

Section: Discussionmentioning

confidence: 99%

Methadone, Buprenorphine, Oxycodone, Fentanyl and Tramadol in Multiple Postmortem Matrices

Havig

Vindenes

Øiestad

et al. 2021

Journal of Analytical Toxicology

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Peripheral blood concentrations are generally preferred for postmortem toxicological interpretation, but some autopsy cases may lack blood for sampling due to decomposition or large traumas etc. In such cases, other tissues or bodily fluids must be sampled; however, limited information exists on postmortem concentrations in matrices other than blood. Pericardial fluid, muscle, and vitreous humor have been suggested as alternatives to blood, but only a few studies have investigated the detection of opioids in these matrices. In this study, we aimed to investigate the detection of methadone, buprenorphine, oxycodone, fentanyl, and tramadol in postmortem samples of pericardial fluid, skeletal muscle, and vitreous humor, in addition to peripheral and cardiac blood; and if drug concentrations in these alternative matrices were comparable to those in peripheral blood, and thereby useful for interpretation. In most of the 54 included cases, only one opioid was detected. Methadone, oxycodone, fentanyl, and tramadol were detected in all of the alternative matrices in almost all cases, while buprenorphine was detected less often. For methadone, the concentrations in the alternative matrices, except for in vitreous humor, were relatively similar to those in peripheral blood. Larger variations in concentrations were found for buprenorphine, oxycodone, and tramadol. Quantitative analyses appeared useful for fentanyl, in all of the alternative matrices, but only four cases were included. Toxicological analyses of opioids in these alternative postmortem matrices can be useful for detection, but interpretation of quantitative results must be performed with caution.

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Section: Discussionmentioning

confidence: 99%

Methadone, Buprenorphine, Oxycodone, Fentanyl and Tramadol in Multiple Postmortem Matrices

Havig

Vindenes

Øiestad

et al. 2021

Journal of Analytical Toxicology

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“…The first was conducted on an animal model (rabbit) of hypercholesterolemia and coronary atherosclerosis, whereas the second investigated PF and plasma metabolome of patients undergoing cardiac surgery for coronary artery bypass grafting. Despite its use for forensic toxicological and biochemical purposes [8][9][10][11][12], post-mortem human PF has never been investigated with a metabolomic approach.…”

Section: Introductionmentioning

confidence: 99%

Metabolomics investigation of post-mortem human pericardial fluid

Chighine

Stocchero

Ferino

et al. 2023

Preprint

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IntroductionDue to its peculiar anatomy and physiology, the pericardial fluid is a biological matrix of particular interest in the forensic field. Despite this, the available literature has mainly focused on post-mortem biochemistry and forensic toxicology, while to the best of authors’ knowledge post-mortem metabolomics has never been applied. Similarly, estimation of the time since death or Post-Mortem Interval based on pericardial fluids has still rarely been attempted.ObjectivesWe applied a metabolomic approach based on1H Nuclear Magnetic Resonance Spectroscopy to ascertain the feasibility of monitoring post-mortem metabolite changes on human pericardial fluids with the aim of building a multivariate regression model for Post-Mortem Interval estimation.MethodsPericardial fluid samples were collected in 24 consecutive judicial autopsies, in a time frame ranging from 16 to 170 hours after death. The only exclusion criterion was the quantitative and/or qualitative alteration of the sample. Two different extraction protocols were applied for low molecular weight metabolites selection, namely ultrafiltration and liquid-liquid extraction. Our metabolomic approach was based on the use of1H Nuclear Magnetic Resonance and multivariate statistical data analysis.ResultsThe pericardial fluid samples treated with the two experimental protocols did not show significant differences in the distribution of the metabolites detected. A post-mortem interval estimation model based on 18 pericardial fluid samples was validated with an independent set of 6 samples, giving a prediction error of 33 - 34 hours depending on the experimental protocol used. By narrowing the window to post-mortem intervals below 100 hours, the prediction power of the model was significantly improved with an error of 13-15 hours depending on the extraction protocol. Choline, glycine, ethanolamine, and hypoxanthine were the most relevant metabolites in the prediction model.ConclusionThe present study, although preliminary, shows that PF samples collected from a real forensic scenario represent a biofluid of interest for post-mortem metabolomics, with particular regard to the estimation of the time since death.

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Metabolomics investigation of post-mortem human pericardial fluid

et al. 2023

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Introduction Due to its peculiar anatomy and physiology, the pericardial fluid is a biological matrix of particular interest in the forensic field. Despite this, the available literature has mainly focused on post-mortem biochemistry and forensic toxicology, while to the best of authors’ knowledge post-mortem metabolomics has never been applied. Similarly, estimation of the time since death or post-mortem interval based on pericardial fluids has still rarely been attempted. Objectives We applied a metabolomic approach based on 1H nuclear magnetic resonance spectroscopy to ascertain the feasibility of monitoring post-mortem metabolite changes on human pericardial fluids with the aim of building a multivariate regression model for post-mortem interval estimation. Methods Pericardial fluid samples were collected in 24 consecutive judicial autopsies, in a time frame ranging from 16 to 170 h after death. The only exclusion criterion was the quantitative and/or qualitative alteration of the sample. Two different extraction protocols were applied for low molecular weight metabolites selection, namely ultrafiltration and liquid-liquid extraction. Our metabolomic approach was based on the use of 1H nuclear magnetic resonance and multivariate statistical data analysis. Results The pericardial fluid samples treated with the two experimental protocols did not show significant differences in the distribution of the metabolites detected. A post-mortem interval estimation model based on 18 pericardial fluid samples was validated with an independent set of 6 samples, giving a prediction error of 33–34 h depending on the experimental protocol used. By narrowing the window to post-mortem intervals below 100 h, the prediction power of the model was significantly improved with an error of 13–15 h depending on the extraction protocol. Choline, glycine, ethanolamine, and hypoxanthine were the most relevant metabolites in the prediction model. Conclusion The present study, although preliminary, shows that PF samples collected from a real forensic scenario represent a biofluid of interest for post-mortem metabolomics, with particular regard to the estimation of the time since death.

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A Novel Bioanalytical Method for the Determination of Opioids in Blood and Pericardial Fluid

Cited by 3 publications

References 62 publications

Methadone, Buprenorphine, Oxycodone, Fentanyl and Tramadol in Multiple Postmortem Matrices

Methadone, Buprenorphine, Oxycodone, Fentanyl and Tramadol in Multiple Postmortem Matrices

Metabolomics investigation of post-mortem human pericardial fluid

Metabolomics investigation of post-mortem human pericardial fluid

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