Literature DB >> 35050412

Biomarker profiling of postmortem blood for diabetes mellitus and discussion of possible applications of metabolomics for forensic casework.

Maika Nariai1, Hiroko Abe2, Yumi Hoshioka3, Yohsuke Makino4,3, Hirotaro Iwase4,3.   

Abstract

Acute metabolic disorders of diabetes mellitus (DM), such as diabetic ketoacidosis, hyperosmolar hyperglycemic state, and hypoglycemia, are life-threatening and difficult to diagnose postmortem owing to lack of macroscopic and microscopic findings, especially when the medical history of the patient is not available before autopsy. Although various biochemical tests, including ketone bodies and hemoglobin A1c, have been used to diagnose diabetes in the postmortem setting, each marker has some limitations. Consequently, it would be helpful in forensic practice to find new biomarkers reflecting the decedent's history of DM irrespective of whether the DM was being treated. Metabolomics enables the non-targeting analysis of biomarkers, and metabolomics was performed on postmortem blood from decedents with and without a DM history to determine whether a marker reflecting DM could be identified. The statistical analysis, including primary component analysis, presented a potent set of metabolites that could be used for the forensic diagnosis of DM. Qualitative analysis revealed significantly lower sphingomyelin and plasmalogen lipid levels and higher lysophospholipid levels in the DM group. Meanwhile, some discrepancies in the levels of some classes of phospholipids were noted between samples from living and deceased persons. This suggests that further metabolomics using postmortem samples rather than living persons' samples is required to identify markers that can be used for forensic diagnosis.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Biomarker; Diabetes mellitus; Liquid chromatography-mass spectrometry; Metabolomics; Phospholipids; Plasmalogen

Mesh:

Substances:

Year:  2022        PMID: 35050412     DOI: 10.1007/s00414-021-02767-w

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  37 in total

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Journal:  Nat Rev Endocrinol       Date:  2011-11-08       Impact factor: 43.330

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4.  High-throughput phospholipidic fingerprinting by online desorption of dried spots and quadrupole-linear ion trap mass spectrometry: evaluation of atherosclerosis biomarkers in mouse plasma.

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Journal:  Anal Chem       Date:  2010-08-01       Impact factor: 6.986

5.  HbA1c as a postmortem tool to identify glycemic control.

Authors:  Ruth E Winecker; Catherine A Hammett-Stabler; John F Chapman; Jeri D Ropero-Miller
Journal:  J Forensic Sci       Date:  2002-11       Impact factor: 1.832

Review 6.  Medical aspects of ketone body metabolism.

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Journal:  Clin Invest Med       Date:  1995-06       Impact factor: 0.825

Review 7.  Postmortem diagnosis of diabetes mellitus and its complications.

Authors:  Cristian Palmiere
Journal:  Croat Med J       Date:  2015-06       Impact factor: 1.351

8.  HbA1c and risk of severe hypoglycemia in type 2 diabetes: the Diabetes and Aging Study.

Authors:  Kasia J Lipska; E Margaret Warton; Elbert S Huang; Howard H Moffet; Silvio E Inzucchi; Harlan M Krumholz; Andrew J Karter
Journal:  Diabetes Care       Date:  2013-07-30       Impact factor: 19.112

9.  Reduced cerebrospinal fluid ethanolamine concentration in major depressive disorder.

Authors:  Shintaro Ogawa; Kotaro Hattori; Daimei Sasayama; Yuki Yokota; Ryo Matsumura; Junko Matsuo; Miho Ota; Hiroaki Hori; Toshiya Teraishi; Sumiko Yoshida; Takamasa Noda; Yoshiaki Ohashi; Hajime Sato; Teruhiko Higuchi; Nobutaka Motohashi; Hiroshi Kunugi
Journal:  Sci Rep       Date:  2015-01-15       Impact factor: 4.379

10.  A novel serum metabolomics-based diagnostic approach for colorectal cancer.

Authors:  Shin Nishiumi; Takashi Kobayashi; Atsuki Ikeda; Tomoo Yoshie; Megumi Kibi; Yoshihiro Izumi; Tatsuya Okuno; Nobuhide Hayashi; Seiji Kawano; Tadaomi Takenawa; Takeshi Azuma; Masaru Yoshida
Journal:  PLoS One       Date:  2012-07-11       Impact factor: 3.240

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