Evidence map›Paper›PMID 31586097›Full record

ArticleScientific reports2019

Distinct spectrum of microRNA expression in forensically relevant body fluids and probabilistic discriminant approach.

Shuntaro Fujimoto, Sho Manabe, Chie Morimoto, Munetaka Ozeki, Yuya Hamano, Eriko Hirai, Hirokazu Kotani, Keiji Tamaki

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Advances in body fluid identification: MiRNA markers as powerful tool.International journal of legal medicine · 2024
    Pooled it
  2. Article
  3. The miRNomics of antiretroviral therapy-induced obesity.Functional & integrative genomics · 2025
    Review
  4. Article
  5. RNA Analysis in Forensic Molecular Biology.Deutsches Arzteblatt international · 2024
    Review
  6. Review
  7. Article
  8. Article
  9. Circulating microRNAs in Medicine.International journal of molecular sciences · 2022
    Review
  10. Review
  11. MicroRNAs: An Update of Applications in Forensic Science.Diagnostics (Basel, Switzerland) · 2020
    Review
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

8 authors at 2 institutions in 1 country.

Shuntaro FujimotoDepartment of Forensic Medicine, Kyoto University Graduate School of Medicine, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Sho ManabeDepartment of Forensic Medicine, Kyoto University Graduate School of Medicine, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Chie MorimotoDepartment of Forensic Medicine, Kyoto University Graduate School of Medicine, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Munetaka OzekiDepartment of Forensic Medicine, Kyoto University Graduate School of Medicine, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Yuya HamanoDepartment of Forensic Medicine, Kyoto University Graduate School of Medicine, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Eriko HiraiDepartment of Forensic Medicine, Kyoto University Graduate School of Medicine, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Hirokazu KotaniDepartment of Forensic Medicine, Kyoto University Graduate School of Medicine, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Keiji TamakiDepartment of Forensic Medicine, Kyoto University Graduate School of Medicine, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan. ktamaki@fp.med.kyoto-u.ac.jp.
Kyoto University · JPKyoto Prefectural Police · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNA is attracting worldwide attention as a new marker for the identification of forensically relevant body fluids. A probabilistic discriminant model was constructed to identify venous blood, saliva, semen, and vaginal secretion, based on microRNA expression assessed via RT-qPCR. We quantified 15 candidate microRNAs in four types of body fluids by RT-qPCR and found that miR-144-3p, miR-451a-5p, miR-888-5p, miR-891a-5p, miR-203a-3p, miR-223-3p and miR-1260b were helpful to discriminate body fluids. Using the relative expression of seven candidate microRNAs in each body fluid, we implemented a partial least squares-discriminant analysis (PLS-DA) as a probabilistic discriminant model and distinguished four types of body fluids. Of 14 testing samples, 13 samples were correctly identified with >90% posterior probability. We also investigated the effects of microRNA expression in skin, semen infertility, and vaginal secretion during different menstrual phases. Semen infertility and menstrual phases did not affect our body fluid identification system. Therefore, the selected microRNAs were effective in identifying the four types of body fluids, indicating that probabilistic evaluation may be practical in forensic casework.

Indexed as

Models, StatisticalAzoospermiaBiomarkersBody FluidsDiscriminant AnalysisFeasibility StudiesFemaleForensic GeneticsGene Expression ProfilingHumansMaleMenstruationMicroRNAsProbabilityReal-Time Polymerase Chain ReactionSkinBiomarkersMicroRNAs

Identifiers

PMID31586097
PMCPMC6778116
OpenAlexW2978344970

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.