Literature DB >> 33180198

Metabolomics in postmortem cerebrospinal fluid diagnostics: a state-of-the-art method to interpret central nervous system-related pathological processes.

Benjamin Ondruschka1, Michael Bohnert2, Simone Bohnert3, Christoph Reinert2, Stefanie Trella2, Werner Schmitz4.   

Abstract

In the last few years, quantitative analysis of metabolites in body fluids using LC/MS has become an established method in laboratory medicine and toxicology. By preparing metabolite profiles in biological specimens, we are able to understand pathophysiological mechanisms at the biochemical and thus the functional level. An innovative investigative method, which has not yet been used widely in the forensic context, is to use the clinical application of metabolomics. In a metabolomic analysis of 41 samples of postmortem cerebrospinal fluid (CSF) samples divided into cohorts of four different causes of death, namely, cardiovascular fatalities, isoIated torso trauma, traumatic brain injury, and multi-organ failure, we were able to identify relevant differences in the metabolite profile between these individual groups. According to this preliminary assessment, we assume that information on biochemical processes is not gained by differences in the concentration of individual metabolites in CSF, but by a combination of differently distributed metabolites forming the perspective of a new generation of biomarkers for diagnosing (fatal) TBI and associated neuropathological changes in the CNS using CSF samples.

Entities:  

Keywords:  Biomarker; CSF; Cerebrospinal fluid; Forensic neuropathology; Forensic neurotraumatology; Metabolomics

Year:  2020        PMID: 33180198      PMCID: PMC7782422          DOI: 10.1007/s00414-020-02462-2

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


  34 in total

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Review 6.  Biomarkers for the clinical differential diagnosis in traumatic brain injury--a systematic review.

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Authors:  Denes V Agoston; Andrew Shutes-David; Elaine R Peskind
Journal:  Brain Inj       Date:  2017       Impact factor: 2.311

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  8 in total

1.  A preliminary study on early postmortem submersion interval (PMSI) estimation and cause-of-death discrimination based on nontargeted metabolomics and machine learning algorithms.

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5.  Density of TMEM119-positive microglial cells in postmortem cerebrospinal fluid as a surrogate marker for assessing complex neuropathological processes in the CNS.

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6.  Myelin basic protein and neurofilament H in postmortem cerebrospinal fluid as surrogate markers of fatal traumatic brain injury.

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Review 7.  Applications of Metabolomics in Forensic Toxicology and Forensic Medicine.

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