Evidence map›Paper›PMID 41887185›Full record

ArticleJournal of diabetes research2026

Clinical Validation of Digital PCR for Precise m.3243A>G Heteroplasmy Quantification in Early-Onset Diabetes.

Xiaomu Kong, Lei Bei, Peng Gao, Lixia Lu, Haoyan Zhu, Yongwei Jiang, Meimei Zhao, Yi Liu, Guozhen Wang, Mo Li and 4 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

14 authors.

Xiaomu KongDepartment of Clinical Laboratory, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, 100029, China, zryhyy.com.cn.ORCID https://orcid.org/0000-0002-5920-4759
Lei BeiResearch and Development Department, TargetingOne Corporation, Beijing, China.
Peng GaoDepartment of Clinical Laboratory, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, 100029, China, zryhyy.com.cn.ORCID https://orcid.org/0000-0002-7096-2710
Lixia LuDepartment of Clinical Laboratory, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, 100029, China, zryhyy.com.cn.ORCID https://orcid.org/0009-0008-0450-9783
Haoyan ZhuDepartment of Clinical Laboratory, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, 100029, China, zryhyy.com.cn.ORCID https://orcid.org/0009-0006-4084-1498
Yongwei JiangDepartment of Clinical Laboratory, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, 100029, China, zryhyy.com.cn.ORCID https://orcid.org/0000-0002-4974-0283
Meimei ZhaoDepartment of Clinical Laboratory, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, 100029, China, zryhyy.com.cn.ORCID https://orcid.org/0000-0002-6031-5544
Yi LiuDepartment of Clinical Laboratory, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, 100029, China, zryhyy.com.cn.ORCID https://orcid.org/0000-0002-5743-0621
Guozhen WangDepartment of Clinical Laboratory, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, 100029, China, zryhyy.com.cn.ORCID https://orcid.org/0009-0000-0352-5724
Mo LiDepartment of Clinical Laboratory, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, 100029, China, zryhyy.com.cn.
Ziyi FengDepartment of Clinical Laboratory, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, 100029, China, zryhyy.com.cn.ORCID https://orcid.org/0009-0000-8244-7524
Guoxiong DengDepartment of Clinical Laboratory, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, 100029, China, zryhyy.com.cn.ORCID https://orcid.org/0009-0007-2721-1683
Yongtong CaoDepartment of Clinical Laboratory, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, 100029, China, zryhyy.com.cn.ORCID https://orcid.org/0000-0002-8904-3060
Liang MaDepartment of Clinical Laboratory, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, 100029, China, zryhyy.com.cn.ORCID https://orcid.org/0000-0003-3226-4150

Funding

Elite Medical Professionals Project of China-Japan Friendship Hospital ZRJY2024-BJ02Elite Medical Professionals Project of China-Japan Friendship Hospital ZRJY2024-GG07National High Level Hospital Clinical Research Funding 2023-NHLHCRF-DJMS-04
6 · The paper itself

Abstract

backgroundMitochondrial DNA m.3243A>G variant causes maternally inherited diabetes with deafness. We developed a droplet digital PCR (dPCR) assay to quantify m.3243A>G heteroplasmy and investigated its prevalence in Chinese Han early-onset diabetes patients.

methodsThe dPCR method was validated using plasmid mixtures (10

resultsThe dynamic range spans from 10 to 10

conclusionThe developed method can provide an accurate, reliable, rapid, simple, and low-cost evaluation of the heteroplasmy rate of m.3243A>G for both peripheral blood and urinary sediment. Thus, it is highly promising as a genetic screening method for early-onset diabetes related to m.3243A>G.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2DNA, MitochondrialHeteroplasmyPolymerase Chain ReactionAdultAge of OnsetAsian PeopleFemaleHigh-Throughput Nucleotide SequencingHumansMaleReproducibility of ResultsSensitivity and SpecificityDNA, Mitochondrialdigital PCRearly-onset diabetesheteroplasmymaternally inherited diabetes and deafnessmitochondrial diabetes mellitusmitochondrial DNA

Identifiers

PMID41887185
PMCPMC13140937

What Socratic 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 Socratic graph.