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Investigation of metabolites for estimating blood deposition time

Overview of attention for article published in International Journal of Legal Medicine, August 2017
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  • High Attention Score compared to outputs of the same age and source (87th percentile)

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52 Mendeley
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Article details
Title
Investigation of metabolites for estimating blood deposition time
Published in
International Journal of Legal Medicine, August 2017
DOI 10.1007/s00414-017-1638-y
Pubmed ID
Authors
Abstract

Trace deposition timing reflects a novel concept in forensic molecular biology involving the use of rhythmic biomarkers for estimating the time within a 24-h day/night cycle a human biological sample was left at the crime scene, which in principle allows verifying a sample donor's alibi. Previously, we introduced two circadian hormones for trace deposition timing and recently demonstrated that messenger RNA (mRNA) biomarkers significantly improve time prediction accuracy. Here, we investigate the suitability of metabolites measured using a targeted metabolomics approach, for trace deposition timing. Analysis of 171 plasma metabolites collected around the clock at 2-h intervals for 36 h from 12 male participants under controlled laboratory conditions identified 56 metabolites showing statistically significant oscillations, with peak times falling into three day/night time categories: morning/noon, afternoon/evening and night/early morning. Time prediction modelling identified 10 independently contributing metabolite biomarkers, which together achieved prediction accuracies expressed as AUC of 0.81, 0.86 and 0.90 for these three time categories respectively. Combining metabolites with previously established hormone and mRNA biomarkers in time prediction modelling resulted in an improved prediction accuracy reaching AUCs of 0.85, 0.89 and 0.96 respectively. The additional impact of metabolite biomarkers, however, was rather minor as the previously established model with melatonin, cortisol and three mRNA biomarkers achieved AUC values of 0.88, 0.88 and 0.95 for the same three time categories respectively. Nevertheless, the selected metabolites could become practically useful in scenarios where RNA marker information is unavailable such as due to RNA degradation. This is the first metabolomics study investigating circulating metabolites for trace deposition timing, and more work is needed to fully establish their usefulness for this forensic purpose.

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X Demographics

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The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 10 19%
Researcher 7 13%
Unspecified 6 12%
Student > Master 6 12%
Other 3 6%
Other 4 8%
Unknown 16 31%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 21%
Unspecified 6 12%
Agricultural and Biological Sciences 6 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Medicine and Dentistry 2 4%
Other 6 12%
Unknown 19 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 June 2020.
All research outputs
#7,266,155
of 27,612,826 outputs
Outputs from International Journal of Legal Medicine
#353
of 2,437 outputs
Outputs of similar age
#96,743
of 333,861 outputs
Outputs of similar age from International Journal of Legal Medicine
#7
of 56 outputs
Altmetric has tracked 27,612,826 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,437 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 333,861 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.