Evidence map›Paper›PMID 40641032›Full record

ArticleJournal of diabetes2025

Characterization of Novel WFS1 Variants in Three Diabetes Pedigrees.

ChangQing Liu, HangYu Fang, Dong Wang, YiPing Cheng, Ping Shi, ChunXiao Yu, XiaoHong Li, Hui Zhao, Wei Hou, ZhenKui Guo and 2 more

Abstract read
In one paragraph

Article in Journal of diabetes, 2025. 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. Article
  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

12 authors.

ChangQing LiuShandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China. Endocrine and Metabolic Diseases Hospital of Shandong First Medical University. Shandong Institute of Endocrine & Metabolic Disease, Jinan, Shandong, China.ORCID https://orcid.org/0009-0000-8617-907X
HangYu FangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Dong WangShandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China. Endocrine and Metabolic Diseases Hospital of Shandong First Medical University. Shandong Institute of Endocrine & Metabolic Disease, Jinan, Shandong, China.
YiPing ChengKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Ping ShiShandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong, China.
ChunXiao YuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
XiaoHong LiKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Hui ZhaoShandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China. Endocrine and Metabolic Diseases Hospital of Shandong First Medical University. Shandong Institute of Endocrine & Metabolic Disease, Jinan, Shandong, China.
Wei HouThe Cancer Prevention and Control Hospital of Tai'an, Tai'an, Shangdong, China.
ZhenKui GuoShandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China. Endocrine and Metabolic Diseases Hospital of Shandong First Medical University. Shandong Institute of Endocrine & Metabolic Disease, Jinan, Shandong, China.
Chao XuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID https://orcid.org/0000-0001-6743-8881
QingBo GuanKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.

Funding

China Postdoctoral Science Foundation 2023M742158China Postdoctoral Science Foundation 2023TQ0202National Key Research and Development Program of China 2023YFC2506000National Key Research and Development Program of China 2023YFC2506006National Natural Science Foundation of China 82270839Shandong Postdoctoral Science Foundation SDBX2023035Shandong Provincial Natural Science Foundation ZR2023QH104
6 · The paper itself

Abstract

backgroundMutations in the WFS1 gene are implicated in Wolfram syndrome (WS), Wolfram-like syndrome (WFLS), and maturity-onset diabetes of the young (MODY). Wolfram syndrome 1 (WFS1) is a diabetes-related gene encoding wolframin, a glycoprotein with nine transmembrane domains localized in the endoplasmic reticulum. However, the relationship between WFS1 mutations and their associated phenotypes remains incompletely understood, requiring additional patient data collection for further investigation. Here we collected and analyzed clinical data from three diabetes pedigrees, and to assess the genotype-phenotype correlation.

methodsHigh-throughput sequencing was employed to detect WFS1 gene mutations, followed by pathogenicity and conservation analysis using bioinformatics software. A three-dimensional wolframin protein structure was constructed to investigate the potential effects of the mutations. Moreover, the distribution of WFS1 mutations and their associated clinical phenotypes were analyzed by summarizing genetic variations of the WFS1 gene recorded in the Human Gene Mutation Database.

resultsFour heterozygous WFS1 mutations were identified in three diabetes families. Among these, c.1523_1524del/p.Y508Cfs*34 was identified as a frameshift mutation, while the others were missense mutations. Bioinformatics predictions revealed that c.766A>G/p.K256E is a benign and novel mutation, whereas the remaining mutations were classified as pathogenic. Furthermore, c.985T>A/p.F329I was validated as a MODY-associated mutation within a specific family. A comprehensive summary of all reported WFS1 mutations indicated that mutations associated with WS phenotypes are approximately 18.7 times more frequent than those associated with MODY phenotypes. Missense mutations accounted for the highest proportion of WFS1 mutations associated with different clinical phenotypes, with the majority located in exon 8.

conclusionsThis study identified a novel WFS1 mutation, c.766A>G/p.K256E, expanding the known mutation spectrum of the WFS1 gene. The findings suggest that inactivating mutations and benign missense mutations are associated with more severe WS phenotypes compared to purely pathogenic missense mutations. Moreover, c.985T>A/p.F329I was validated as a MODY associated mutation. Finally, by summarizing the genotype-phenotype relationships of WFS1, it is concluded that the WFS1 gene shows a different association with WS, WFSL and MODY.

Indexed as

Diabetes Mellitus, Type 2Membrane ProteinsMutationAdultFemaleGenetic Association StudiesHumansMaleMiddle AgedMutation, MissensePedigreePhenotypeWolfram SyndromeMembrane Proteinswolframin proteindiabetesgene mutationMODYWFS1wolframin protein

Identifiers

PMID40641032
PMCPMC12245724

What Socratic holds

Textmetadata
LicenceCC BY
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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.