Evidence map›Paper›PMID 37535091›Full record

ArticleInternational journal of legal medicine2023

More than just blood, saliva, or sperm-setup of a workflow for body fluid identification by DNA methylation analysis.

Helen Konrad, Leandra Jürgens, Benno Hartung, Micaela Poetsch

Open access · hybridAbstract read
In one paragraph

Article in International journal of legal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 4% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Advances in body fluid identification: MiRNA markers as powerful tool.International journal of legal medicine · 2024
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
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

4 authors at 1 institution in 1 country.

Helen KonradInstitute of Legal Medicine, University Hospital Essen, Hufelandstr. 55, D-45122, Essen, Germany.
Leandra JürgensInstitute of Legal Medicine, University Hospital Essen, Hufelandstr. 55, D-45122, Essen, Germany.
Benno HartungInstitute of Legal Medicine, University Hospital Essen, Hufelandstr. 55, D-45122, Essen, Germany.
Micaela PoetschInstitute of Legal Medicine, University Hospital Essen, Hufelandstr. 55, D-45122, Essen, Germany. micaela.poetsch@uk-essen.de.ORCID http://orcid.org/0000-0003-1364-6487
Essen University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The determination of cellular origin of DNA is a useful method in forensic genetics and complements identification of the DNA donor by STR analysis, since it could provide helpful information for the reconstruction of crime scenes and verify or disprove the descriptions of involved people. There already exist several rapid/pre-tests for several secretions (blood, sperm secretion, saliva, and urine), RNA-based expression analyses (blood, menstrual blood, saliva, vaginal secretion, nasal secretion, and sperm secretion), or specific CpG methylation analyses (nasal blood, blood, saliva, vaginal secretion, nasal secretion, and sperm secretion) for determining the cell type.To identify and to discriminate seven different body fluids and mixtures thereof in a simple workflow from each other, assays based on specific methylation patterns at several CpGs combined with pre-/rapid tests were set up in this study. For each of the seven secretions listed above, we selected the CpG marker achieving the highest possible discrimination (out of 30 markers tested). Validation studies confirmed a definite identification for saliva, vaginal secretion, and semen secretion in 100% of samples as well as discrimination from all other secretions. Moreover, the unambiguously correctly determined proportion of nasal samples, blood and menstrual blood varied between 61% (nasal blood) and 85% (nasal secretion).In summary, our workflow proved to be an easy and useful tool in forensic analysis for the identification and discrimination of seven different body fluids often found at a crime scene.

Indexed as

Cervix MucusCpG IslandsDNA MethylationForensic GeneticsBlood Chemical AnalysisBody FluidsDNA FingerprintingFemaleGenetic MarkersHumansMaleMenstruationSalivaSemenSpermatozoaWorkflowGenetic MarkersBody fluid identificationBody fluidsCrime scene investigationDNA methylationNasal secretionStain identification

Identifiers

PMID37535091
PMCPMC10567870
OpenAlexW4385507307

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.