Evidence map›Paper›PMID 37264192›Full record

ArticleInternational journal of legal medicine2023

Development of a novel forensic age estimation strategy for aged blood samples by combining piRNA and miRNA markers.

Chen Fang, Peng Zhou, Ran Li, Jinghan Guo, Huixian Qiu, Jingjuan Zhang, Min Li, Chunjiang Yu, Deping Meng, Xiaoqun Xu and 3 more

Abstract read
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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
3.1field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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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

13 authors at 4 institutions in 1 country.

Chen Fang *Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, People's Republic of China. chenfangyulix@126.com.
Peng Zhou *Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, People's Republic of China.
Ran LiDepartment of Pathology and Forensic Medicine, School of Clinical and Basic Medical Sciences, Shandong First Medical University& Shandong Academy of Medical Sciences, Jinan, 250117, People's Republic of China.
Jinghan GuoDepartment of Pathology and Forensic Medicine, School of Clinical and Basic Medical Sciences, Shandong First Medical University& Shandong Academy of Medical Sciences, Jinan, 250117, People's Republic of China.
Huixian QiuDepartment of Pathology and Forensic Medicine, School of Clinical and Basic Medical Sciences, Shandong First Medical University& Shandong Academy of Medical Sciences, Jinan, 250117, People's Republic of China.
Jingjuan ZhangDepartment of Pathology and Forensic Medicine, School of Clinical and Basic Medical Sciences, Shandong First Medical University& Shandong Academy of Medical Sciences, Jinan, 250117, People's Republic of China.
Min LiShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, People's Republic of China.
Chunjiang YuShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, People's Republic of China.
Deping MengShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, People's Republic of China.
Xiaoqun XuShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, People's Republic of China.
Xu LiuInstitute of Analysis and Testing, Beijing Academy of Science and Technology (Beijing Center for Physical and Chemical Analysis), Beijing, 100094, People's Republic of China.
Di GuanInstitute of Analysis and Testing, Beijing Academy of Science and Technology (Beijing Center for Physical and Chemical Analysis), Beijing, 100094, People's Republic of China.
Jiangwei YanShanxi Medical University, 030001, Taiyuan, People's Republic of China. yanjw@sxmu.edu.cn.ORCID http://orcid.org/0000-0002-0359-4508
Shandong Provincial Hospital · CNShandong First Medical University · CNBeijing Academy of Science and Technology · CNShanxi Medical University · CN

Funding

National Natural Science Foundation of China 82002006National Natural Science Foundation of China 82030058Open project of Shanghai Key Laboratory of Forensic Medicine KF202206Organization Department of Beijing Talents Project 2018400685627G339Qingchuang Talents Induction Program of Shandong Higher Education Institution 2022 Forensic medicine innovation team
6 · The paper itself

Abstract

In forensic investigations, age estimation is vital for determining whether a suspect is under or over the legally defined adult age. With breakthroughs in RNA sequencing technology, small noncoding RNAs have provided new ways to solve problems related to the age estimation of trace or aged samples, owing to their small molecular weight and better stability. In our previous study, we had applied miRNAs for the age estimation of bloodstains; however, further improvement of the existing model is needed. PIWI-interacting RNAs (PiRNAs), which are 24-32 nt noncoding small RNA molecules involved in the PIWI-piRNA pathway, play an important role in the aging process. In this study, we explored the possibility of simultaneously analyzing piRNAs and miRNAs for better age estimation purpose. Through massively parallel sequencing, five age-related piRNAs were identified in blood samples that had been stored for eight years. Further real-time PCR analysis revealed that two piRNAs (piR-000753 and piR-020548) showed relatively higher efficiency in age estimation. Additionally, two age-related miRNAs (miR-324-3p and miR-330-5p) were used to build the estimation model. Among all algorithms tested, gradient boosting showed the lowest mean absolute error (MAE) and root mean square error (RMSE) values (3.171 and 4.403 years, respectively) for the validation dataset (n = 110). The errors of the model were less than 5 years and 10 years for 81.82% and 96.36% of the samples, respectively. The results suggest that the combined use of piRNA and miRNA markers may increase the accuracy of age estimation, and our new model has great potential for application in forensic casework.

Indexed as

Blood StainsMicroRNAsRNA, Small UntranslatedAdultAgedChildHumansPiwi-Interacting RNARNA, Small InterferingMicroRNAsMIRN324 microRNA, humanMIRN330 microRNA, humanPiwi-Interacting RNARNA, Small InterferingRNA, Small UntranslatedAge estimationBloodMachine learningmiRNApiRNA

Identifiers

PMID37264192
OpenAlexW4378980644

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.