Evidence map›Paper›PMID 30810820›Full record

ArticleInternational journal of legal medicine2019

Characterization of tissue-specific biomarkers with the expression of circRNAs in forensically relevant body fluids.

Baonian Liu, Feng Song, Qinrui Yang, Yuxiang Zhou, Chengchen Shao, Yiwen Shen, Ziqin Zhao, Qiqun Tang, Yiping Hou, Jianhui Xie

Abstract read
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In one paragraph

Article in International journal of legal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
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  11. RNA Analysis in Forensic Molecular Biology.Deutsches Arzteblatt international · 2024
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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

10 authors at 3 institutions in 1 country.

Baonian LiuDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
Feng SongInstitute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610041, China.
Qinrui YangDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
Yuxiang ZhouDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
Chengchen ShaoDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
Yiwen ShenDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
Ziqin ZhaoDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
Qiqun TangDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
Yiping HouInstitute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610041, China.
Jianhui XieDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China. jhxie@fudan.edu.cn.
Shanghai Medical College of Fudan University · CNSichuan University · CNFudan University · CN

Funding

National Natural Science Foundation of China 81571853National Natural Science Foundation of China 81701866
6 · The paper itself

Abstract

Messenger RNA (mRNA) markers have been extensively investigated for the identification of forensically relevant body fluids and tissues based on their expression profiles among cell types. As products of the backsplicing of pre-mRNAs, circular RNAs (circRNAs) share exonic sequences with their linear counterparts. The inclusion of circRNAs in mRNA profiling is shown to facilitate the detection of biomarkers in the identification of body fluids. In this study, we identified the expression of circRNAs of 14 out of 45 biomarkers from five body fluid types using outward-facing primer sets and revealed the ratio of circular to total transcripts of biomarkers by RNase R treatment. Furthermore, our results of qPCR analysis show that the inclusion of circRNAs in the detection of biomarkers, including HBA and ALAS2 for blood; MMP7 and MMP10 for menstrual blood; HTN3 for saliva; SPINK5, SERPINB3, ESR1, and CYP2B7P1 for vaginal secretions; TGM4, KLK3, and PRM2 for semen; and SLC22A6 and MIOX for urine, does not impair the specificity of these biomarkers. Additionally, a high copy number of targets from linear transcripts could be employed to increase the detection sensitivity of TGM4 and KLK3 with a low expression level of circRNAs in urine samples. Altogether, these results will help with the development of robust multiplex assays for body fluid identification.

Indexed as

Gene Expression ProfilingAdultBiomarkersBloodBody FluidsCervix MucusExoribonucleasesFemaleForensic GeneticsHumansMaleProteinsReal-Time Polymerase Chain ReactionRNA, CircularSalivaSemenBiomarkersExoribonucleasesProteinsribonuclease RRNA, CircularBody fluid identificationCircular RNAsmRNA profilingSensitivitySpecificity

Identifiers

PMID30810820
OpenAlexW2920607742

What OpenQuestion holds

Textmetadata
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.