Evidence map›Paper›PMID 41472163›Full record

ArticleVeterinary sciences2025

Time-Since-Deposition Signatures for Canine Blood Based on Cellular Autofluorescence.

Alysia Townsley, Gabrielle Wolfe, Madison Smith, Arianna DeCorte, Amanda Elswick Gentry, Christopher J Ehrhardt

Abstract read
In one paragraph

Article in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alysia TownsleyDepartment of Forensic Science, Virginia Commonwealth University, Richmond, VA 23284, USA.
Gabrielle WolfeDepartment of Forensic Science, Virginia Commonwealth University, Richmond, VA 23284, USA.
Madison SmithDepartment of Forensic Science, Virginia Commonwealth University, Richmond, VA 23284, USA.
Arianna DeCorteDepartment of Forensic Science, Virginia Commonwealth University, Richmond, VA 23284, USA.
Amanda Elswick GentryDepartment of Forensic Science, Virginia Commonwealth University, Richmond, VA 23284, USA.
Christopher J EhrhardtDepartment of Forensic Science, Virginia Commonwealth University, Richmond, VA 23284, USA.ORCID 0000-0002-4909-0532

Funding

American Society for the Prevention of Cruelty to Animals G-202310-30682
6 · The paper itself

Abstract

Animal cruelty investigations can be hampered by not knowing when a biological sample was deposited at a crime scene, i.e., the sample's time-since-deposition (TSD). The goal of this study was to characterize a new signature system for estimating the TSD of canine blood samples based on changes in the autofluorescence spectra of cell populations that occur over time. The results showed that the intensity of cellular autofluorescence measured in two detector channels (523/30 nm and 695/50 nm; 488 nm excitation) could clearly differentiate older blood deposits (i.e., samples with a TSD of either 6 months or 1 year) from younger samples that had a TSD of less than three months. Further, cellular autofluorescence was strongly correlated with time when the sample TSD was between one day and three months, with correlation coefficients ranging between 0.83 and 0.91. A multiple linear regression model based on autofluorescence variation was tested on mock casework samples and yielded residual errors between 2 days and 35 days, with the lowest residuals observed in samples that have a TSD less than 6 days. This information can provide probative leads during an investigation of an illicit canine fighting event or an individual injury and also allow animal cruelty agencies to triage blood samples based on their TSD for downstream analyses.

Indexed as

animal crueltyautofluorescenceblood analysiscanineflow cytometrytime since depositionveterinary forensics

Identifiers

PMID41472163
PMCPMC12737388

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.