1
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Müller IR, Grandi VT, Santos Paulino SG, Villa BD, Zembruski BM, Forcelini CM, Hahn SR, Antunes MV, Linden R. Determination of carbamazepine in fingerprints: a feasibility study to evaluate adherence in epilepsy patients. Bioanalysis 2024; 16:415-427. [PMID: 38497729 PMCID: PMC11216515 DOI: 10.4155/bio-2023-0265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 02/23/2024] [Indexed: 03/19/2024] Open
Abstract
Background: Fingerprint drug concentrations can be used as a noninvasive and convenient alternative to evaluate adherence to pharmacotherapy. Methods: Fingerprints were applied over glass slides, extracted and analyzed by ultra-high performance LC-MS/MS. The assay and drug adherence questionnaires were applied to 30 epilepsy patients. Results: The assay had linearity in the range 0.05-10 ng fingerprint-1, with precision of 2.16-7.9% and accuracy of 95.0-102.8%. Carbamazepine (CBZ) levels in fingerprints were stable at 45°C for 15 days. Concentrations in patient samples were 0.06-9.28 ng fingerprint-1. A significant difference (p = 0.003) was found between CBZ concentrations in fingerprints between patient groups divided as low and medium/high adherence. Conclusion: This method can potentially be applied to the identification of epilepsy patients with low adherence to CBZ pharmacotherapy.
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Affiliation(s)
- Isadora Ritter Müller
- Analytical Toxicology Laboratory, Universidade Feevale, Rua Rubem Berta, 200, Novo Hamburgo, RS, CEP, 93525-080, Brazil
- Graduate Program on Toxicology and Analytical Toxicology, Universidade Feevale, Rua Rubem Berta, 200, Novo Hamburgo, RS, CEP, 93525-080, Brazil
| | - Valéria Tessaro Grandi
- College of Medicine, Universidade de Passo Fundo, Rua Teixeira Soares, 817, Passo Fundo, RS, CEP, 99010-080, Brazil
| | - Sarah Gondim Santos Paulino
- College of Medicine, Universidade de Passo Fundo, Rua Teixeira Soares, 817, Passo Fundo, RS, CEP, 99010-080, Brazil
| | - Bárbara De Villa
- College of Pharmacy, Universidade de Passo Fundo, Rodovia BR 285, Km 293, Passo Fundo, RS, CEP, 99052-900, Brazil
| | - Bianca Modena Zembruski
- College of Pharmacy, Universidade de Passo Fundo, Rodovia BR 285, Km 293, Passo Fundo, RS, CEP, 99052-900, Brazil
| | | | - Siomara Regina Hahn
- College of Pharmacy, Universidade de Passo Fundo, Rodovia BR 285, Km 293, Passo Fundo, RS, CEP, 99052-900, Brazil
| | - Marina Venzon Antunes
- Analytical Toxicology Laboratory, Universidade Feevale, Rua Rubem Berta, 200, Novo Hamburgo, RS, CEP, 93525-080, Brazil
- Graduate Program on Toxicology and Analytical Toxicology, Universidade Feevale, Rua Rubem Berta, 200, Novo Hamburgo, RS, CEP, 93525-080, Brazil
| | - Rafael Linden
- Analytical Toxicology Laboratory, Universidade Feevale, Rua Rubem Berta, 200, Novo Hamburgo, RS, CEP, 93525-080, Brazil
- Graduate Program on Toxicology and Analytical Toxicology, Universidade Feevale, Rua Rubem Berta, 200, Novo Hamburgo, RS, CEP, 93525-080, Brazil
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2
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Gotsmy M, Brunmair J, Büschl C, Gerner C, Zanghellini J. Probabilistic quotient’s work and pharmacokinetics’ contribution: countering size effect in metabolic time series measurements. BMC Bioinformatics 2022; 23:379. [PMID: 36114458 PMCID: PMC9482228 DOI: 10.1186/s12859-022-04918-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 09/02/2022] [Indexed: 11/10/2022] Open
Abstract
Metabolomic time course analyses of biofluids are highly relevant for clinical diagnostics. However, many sampling methods suffer from unknown sample sizes, commonly known as size effects. This prevents absolute quantification of biomarkers. Recently, several mathematical post acquisition normalization methods have been developed to overcome these problems either by exploiting already known pharmacokinetic information or by statistical means. Here we present an improved normalization method, MIX, that combines the advantages of both approaches. It couples two normalization terms, one based on a pharmacokinetic model (PKM) and the other representing a popular statistical approach, probabilistic quotient normalization (PQN), in a single model. To test the performance of MIX, we generated synthetic data closely resembling real finger sweat metabolome measurements. We show that MIX normalization successfully tackles key weaknesses of the individual strategies: it (i) reduces the risk of overfitting with PKM, and (ii), contrary to PQN, it allows to compute sample volumes. Finally, we validate MIX by using real finger sweat as well as blood plasma metabolome data and demonstrate that MIX allows to better and more robustly correct for size effects. In conclusion, the MIX method improves the reliability and robustness of quantitative biomarker detection in finger sweat and other biofluids, paving the way for biomarker discovery and hypothesis generation from metabolomic time course data.
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3
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Ismail M, Costa C, Longman K, Chambers MA, Menzies S, Bailey MJ. Potential to Use Fingerprints for Monitoring Therapeutic Levels of Isoniazid and Treatment Adherence. ACS OMEGA 2022; 7:15167-15173. [PMID: 35572755 PMCID: PMC9089686 DOI: 10.1021/acsomega.2c01257] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 04/08/2022] [Indexed: 06/15/2023]
Abstract
A fingerprint offers a convenient, noninvasive sampling matrix for monitoring therapeutic drug use. However, a barrier to widespread adoption of fingerprint sampling is the fact that the sample volume is uncontrolled. Fingerprint samples (n = 140) were collected from patients receiving the antibiotic isoniazid as part of their treatment, as well as from a drug-naive control group (n = 50). The fingerprint samples were analyzed for isoniazid (INH) and acetylisoniazid (AcINH), using liquid chromatography high-resolution mass spectrometry. The data set was analyzed retrospectively for metabolites known to be present in eccrine sweat. INH or AcINH was detected in 89% of the fingerprints collected from patients and in 0% of the fingerprints collected from the control group. Metabolites lysine, ornithine, pyroglutamic acid, and taurine were concurrently detected alongside INH/AcINH and were used to determine whether the fingerprint sample was sufficient for testing. Given a sufficient sample volume, the fingerprint test for INH use has sensitivity, specificity, and accuracy of 100%. Normalization to taurine was found to reduce intradonor variability. Fingerprints are a novel and noninvasive approach to monitor INH therapy. Metabolites can be used as internal markers to demonstrate a sufficient sample volume for testing and reduce intradonor variability.
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Affiliation(s)
- Mahado Ismail
- Department
of Chemistry, University of Surrey, Guildford, Surrey GU2 7XH, U.K.
| | - Catia Costa
- Ion
Beam Centre, University of Surrey, Guildford, Surrey GU2 7XH, U.K.
| | - Katherine Longman
- Department
of Chemistry, University of Surrey, Guildford, Surrey GU2 7XH, U.K.
| | - Mark A. Chambers
- Faculty
of Health and Medical Sciences, University
of Surrey, Guildford, Surrey GU2 7XH, U.K.
| | - Sarah Menzies
- Wexham
Park Hospital, Frimley Health NHS Foundation
Trust, Frimley, Surrey GU16 7UJ, U.K.
| | - Melanie J. Bailey
- Department
of Chemistry, University of Surrey, Guildford, Surrey GU2 7XH, U.K.
- Ion
Beam Centre, University of Surrey, Guildford, Surrey GU2 7XH, U.K.
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4
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Brunmair J, Gotsmy M, Niederstaetter L, Neuditschko B, Bileck A, Slany A, Feuerstein ML, Langbauer C, Janker L, Zanghellini J, Meier-Menches SM, Gerner C. Finger sweat analysis enables short interval metabolic biomonitoring in humans. Nat Commun 2021; 12:5993. [PMID: 34645808 PMCID: PMC8514494 DOI: 10.1038/s41467-021-26245-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 09/22/2021] [Indexed: 01/28/2023] Open
Abstract
Metabolic biomonitoring in humans is typically based on the sampling of blood, plasma or urine. Although established in the clinical routine, these sampling procedures are often associated with a variety of compliance issues, which are impeding time-course studies. Here, we show that the metabolic profiling of the minute amounts of sweat sampled from fingertips addresses this challenge. Sweat sampling from fingertips is non-invasive, robust and can be accomplished repeatedly by untrained personnel. The sweat matrix represents a rich source for metabolic phenotyping. We confirm the feasibility of short interval sampling of sweat from the fingertips in time-course studies involving the consumption of coffee or the ingestion of a caffeine capsule after a fasting interval, in which we successfully monitor all known caffeine metabolites as well as endogenous metabolic responses. Fluctuations in the rate of sweat production are accounted for by mathematical modelling to reveal individual rates of caffeine uptake, metabolism and clearance. To conclude, metabotyping using sweat from fingertips combined with mathematical network modelling shows promise for broad applications in precision medicine by enabling the assessment of dynamic metabolic patterns, which may overcome the limitations of purely compositional biomarkers.
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Affiliation(s)
- Julia Brunmair
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Mathias Gotsmy
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Laura Niederstaetter
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Benjamin Neuditschko
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Department of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Andrea Bileck
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Joint Metabolome Facility, University and Medical University of Vienna, Vienna, Austria
| | - Astrid Slany
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Max Lennart Feuerstein
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Clemens Langbauer
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Lukas Janker
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Joint Metabolome Facility, University and Medical University of Vienna, Vienna, Austria
| | - Jürgen Zanghellini
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Samuel M Meier-Menches
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Department of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Joint Metabolome Facility, University and Medical University of Vienna, Vienna, Austria
| | - Christopher Gerner
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.
- Joint Metabolome Facility, University and Medical University of Vienna, Vienna, Austria.
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5
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Zhang WJ. Simultaneous time-course measurements of metoprolol and α-hydroxyl metoprolol in fingermarks after oral administration by liquid chromatography tandem mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 2020; 1156:122302. [DOI: 10.1016/j.jchromb.2020.122302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Revised: 06/29/2020] [Accepted: 08/02/2020] [Indexed: 11/30/2022]
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6
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J. Bailey M, Costa C. Mass Spectrometry Methods for the Recovery of Forensic Intelligence from Fingermarks. EMERGING TECHNOLOGIES FOR THE ANALYSIS OF FORENSIC TRACES 2019. [DOI: 10.1007/978-3-030-20542-3_1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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7
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Khajuria H, Nayak BP, Badiye A. Toxicological hair analysis: Pre-analytical, analytical and interpretive aspects. MEDICINE, SCIENCE, AND THE LAW 2018; 58:137-146. [PMID: 29683043 DOI: 10.1177/0025802418768305] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Background and aims Hair analysis for drug detection is one of the widely accepted imperative techniques in the field of forensic toxicology. The current study was designed to investigate the efficacy of chromatography for detection of drugs of abuse in hair. Method A comprehensive review of articles from last two decades on hair analyses via PubMed and similar resources was performed. Issues concerning collection, decontamination and analytical techniques are summarised. Physiochemical nature of hair, mechanism of drug incorporation and its stability in hair are briefly discussed. Furthermore, various factors affecting results and interpretation are elucidated. Result A hair sample is chosen over traditional biological samples such blood, urine, saliva or tissues due to its inimitable ability to provide a longer time frame for drug detection. Its collection is almost non-invasive, less cumbersome and does not involve any specialised training/expertise. Recent advances in analytical technology have resulted in better sensitivity, reproducibility and accuracy, thus providing a new arena of scientific understanding and test interpretation. Conclusion Though recent studies have yielded many insights into drug binding and drug incorporation in hair, the major challenge in hair analysis lies in the interpretation of results, which may be affected by external contamination and thus lead to false-positives. Therefore, there is a need for more sensitive and selective analysis methods to be developed in order to minimise factors that induce the effect of melanin, age and so on, and this would certainly provide a new dimension to hair analysis and its applications.
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Affiliation(s)
| | | | - Ashish Badiye
- 2 Department of Forensic Science, Government Institute of Forensic Science, India
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8
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Ismail M, Stevenson D, Costa C, Webb R, de Puit M, Bailey M. Noninvasive Detection of Cocaine and Heroin Use with Single Fingerprints: Determination of an Environmental Cutoff. Clin Chem 2018; 64:909-917. [DOI: 10.1373/clinchem.2017.281469] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Accepted: 02/20/2018] [Indexed: 11/06/2022]
Abstract
Abstract
BACKGROUND
Recent publications have explored the possibility of using fingerprints to confirm drug use, but none has yet dealt with environmental contamination from fingertips. Here we explored the possibility of establishing an environmental cutoff for drug testing from a single fingerprint.
METHODS
Fingerprint samples (n = 100) were collected from the hands of 50 nondrug users before and after handwashing to establish separate environmental cutoff values and testing protocols for cocaine, benzoylecgonine, heroin, and 6-monoacetylmorphine. The cutoff was challenged by testing the fingerprints of drug-free volunteers after shaking hands with drug users. Fingerprints from patients who testified to taking cocaine (n = 32) and heroin (n = 24) were also collected and analyzed.
RESULTS
A different cutoff value needed to be applied, depending on whether the fingerprints were collected as presented or after handwashing. Applying these cutoffs gave a 0% false-positive rate from the drug-free volunteers. After application of the cutoff, the detection rate (compared to patient testimony) for washed hands of patients was 87.5% for cocaine use and 100% for heroin use.
CONCLUSIONS
Fingerprints show enhanced levels of cocaine, heroin, and their respective metabolites in patients who testified to taking the substances, compared with the population of naïve drug users surveyed, and a cutoff (decision level) can be established. The cutoff is robust enough to account for small increases in analyte observed after secondary transfer.
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Affiliation(s)
- Mahado Ismail
- Department of Chemistry, University of Surrey, Surrey, UK
| | | | - Catia Costa
- Ion Beam Centre, University of Surrey, Surrey, UK
| | - Roger Webb
- Ion Beam Centre, University of Surrey, Surrey, UK
| | - Marcel de Puit
- Netherlands Forensic Institute, Department of Digital Technology and Biometrics, The Hague, the Netherlands
- Department of Chemical Engineering, Delft University of Technology, Delft, the Netherlands
| | - Melanie Bailey
- Department of Chemistry, University of Surrey, Surrey, UK
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9
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Bailey M, Randall EC, Costa C, Salter TL, Race AM, de Puit M, Koeberg M, Baumert M, Bunch J. Analysis of Urine, Oral fluid and Fingerprints by Liquid Extraction Surface Analysis Coupled to High Resolution MS and MS/MS - Opportunities for Forensic and Biomedical Science. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2016; 2016:3373-3382. [PMID: 27990179 PMCID: PMC5156400 DOI: 10.1039/c6ay00782a] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Liquid Extraction Surface Analysis (LESA) is a new, high throughput tool for ambient mass spectrometry. A solvent droplet is deposited from a pipette tip onto a surface and maintains contact with both the surface and the pipette tip for a few seconds before being re-aspirated. The technique is particularly suited to the analysis of trace materials on surfaces due to its high sensitivity and low volume of sample removal. In this work, we assess the suitability of LESA for obtaining detailed chemical profiles of fingerprints, oral fluid and urine, which may be used in future for rapid medical diagnostics or metabolomics studies. We further show how LESA can be used to detect illicit drugs and their metabolites in urine, oral fluid and fingerprints. This makes LESA a potentially useful tool in the growing field of fingerprint chemical analysis, which is relevant not only to forensics but also to medical diagnostics. Finally, we show how LESA can be used to detect the explosive material RDX in contaminated artificial fingermarks.
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Affiliation(s)
- Melanie Bailey
- Department of Chemistry, University of Surrey, Guildford, GU2 7XH, UK
| | - Elizabeth C Randall
- National Physical Laboratory, Teddington, TW11 0LW, UK; School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Catia Costa
- Department of Chemistry, University of Surrey, Guildford, GU2 7XH, UK
| | - Tara L Salter
- National Physical Laboratory, Teddington, TW11 0LW, UK
| | - Alan M Race
- National Physical Laboratory, Teddington, TW11 0LW, UK
| | - Marcel de Puit
- Netherlands Forensic Institute, Laan van Ypenburg 6, 2497 GB, The Hague, The Netherlands; Delft University of Technology, Julianalaan 136, 2628 BL, Delft, The Netherlands
| | - Mattijs Koeberg
- Netherlands Forensic Institute, Laan van Ypenburg 6, 2497 GB, The Hague, The Netherlands
| | - Mark Baumert
- Advion Limited Advion Limited, Harlow Enterprise Hub, Edinburgh Way Harlow, Essex CM20 2NQ, UK
| | - Josephine Bunch
- National Physical Laboratory, Teddington, TW11 0LW, UK; School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK; School of Pharmacy, University of Nottingham, Nottingham NG7 2RD
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10
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van Dam A, van Beek FT, Aalders MC, van Leeuwen TG, Lambrechts SA. Techniques that acquire donor profiling information from fingermarks — A review. Sci Justice 2016; 56:143-54. [DOI: 10.1016/j.scijus.2015.12.002] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Revised: 11/30/2015] [Accepted: 12/12/2015] [Indexed: 10/22/2022]
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11
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Kuwayama K, Miyaguchi H, Yamamuro T, Tsujikawa K, Kanamori T, Iwata YT, Inoue H. Effectiveness of saliva and fingerprints as alternative specimens to urine and blood in forensic drug testing. Drug Test Anal 2015; 8:644-51. [DOI: 10.1002/dta.1831] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2015] [Revised: 05/26/2015] [Accepted: 05/26/2015] [Indexed: 11/10/2022]
Affiliation(s)
- Kenji Kuwayama
- National Research Institute of Police Science; 6-3-1 Kashiwanoha, Kashiwa Chiba 277-0882 Japan
| | - Hajime Miyaguchi
- National Research Institute of Police Science; 6-3-1 Kashiwanoha, Kashiwa Chiba 277-0882 Japan
| | - Tadashi Yamamuro
- National Research Institute of Police Science; 6-3-1 Kashiwanoha, Kashiwa Chiba 277-0882 Japan
| | - Kenji Tsujikawa
- National Research Institute of Police Science; 6-3-1 Kashiwanoha, Kashiwa Chiba 277-0882 Japan
| | - Tatsuyuki Kanamori
- National Research Institute of Police Science; 6-3-1 Kashiwanoha, Kashiwa Chiba 277-0882 Japan
| | - Yuko T. Iwata
- National Research Institute of Police Science; 6-3-1 Kashiwanoha, Kashiwa Chiba 277-0882 Japan
| | - Hiroyuki Inoue
- National Research Institute of Police Science; 6-3-1 Kashiwanoha, Kashiwa Chiba 277-0882 Japan
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12
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Kamata T, Shima N, Sasaki K, Matsuta S, Takei S, Katagi M, Miki A, Zaitsu K, Nakanishi T, Sato T, Suzuki K, Tsuchihashi H. Time-Course Mass Spectrometry Imaging for Depicting Drug Incorporation into Hair. Anal Chem 2015; 87:5476-81. [DOI: 10.1021/acs.analchem.5b00971] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Tooru Kamata
- Forensic
Science Laboratory, Osaka Prefectural Police Headquarters, 1-3-18
Hommachi, Chuo-ku, Osaka 541-0053, Japan
| | - Noriaki Shima
- Forensic
Science Laboratory, Osaka Prefectural Police Headquarters, 1-3-18
Hommachi, Chuo-ku, Osaka 541-0053, Japan
| | - Keiko Sasaki
- Forensic
Science Laboratory, Osaka Prefectural Police Headquarters, 1-3-18
Hommachi, Chuo-ku, Osaka 541-0053, Japan
| | - Shuntaro Matsuta
- Forensic
Science Laboratory, Osaka Prefectural Police Headquarters, 1-3-18
Hommachi, Chuo-ku, Osaka 541-0053, Japan
| | - Shiori Takei
- Forensic
Science Laboratory, Osaka Prefectural Police Headquarters, 1-3-18
Hommachi, Chuo-ku, Osaka 541-0053, Japan
| | - Munehiro Katagi
- Forensic
Science Laboratory, Osaka Prefectural Police Headquarters, 1-3-18
Hommachi, Chuo-ku, Osaka 541-0053, Japan
| | - Akihiro Miki
- Forensic
Science Laboratory, Osaka Prefectural Police Headquarters, 1-3-18
Hommachi, Chuo-ku, Osaka 541-0053, Japan
| | - Kei Zaitsu
- Department of Legal Medicine & Bioethics, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan
| | - Toyofumi Nakanishi
- Department
of Clinical and Laboratory Medicine, Osaka Medical College, 2-7
Daigaku-machi, Takatsuki, Osaka 569-8686, Japan
| | - Takako Sato
- Department
of Legal Medicine, Osaka Medical College, 2-7 Daigaku-machi, Takatsuki, Osaka 569-8686, Japan
| | - Koichi Suzuki
- Department
of Legal Medicine, Osaka Medical College, 2-7 Daigaku-machi, Takatsuki, Osaka 569-8686, Japan
| | - Hitoshi Tsuchihashi
- Department
of Legal Medicine, Osaka Medical College, 2-7 Daigaku-machi, Takatsuki, Osaka 569-8686, Japan
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