Evidence map›Paper›PMID 30241917›Full record

ArticleEBioMedicine2018

Value of DNA methylation in predicting curve progression in patients with adolescent idiopathic scoliosis.

Yichen Meng, Tao Lin, Shulun Liang, Rui Gao, Heng Jiang, Wei Shao, Fu Yang, Xuhui Zhou

Open access · goldAbstract readTwin Study
In one paragraph

Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 52 citations in OpenAlex.

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  6. Genetics and pathogenesis of scoliosis.North American Spine Society journal · 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

8 authors at 1 institution in 1 country.

Yichen MengDepartment of Orthopedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai 200003, People's Republic of China.
Tao LinDepartment of Orthopedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai 200003, People's Republic of China.
Shulun LiangDepartment of Orthopedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai 200003, People's Republic of China; Department of Medical Genetics, Second Military Medical University, 800 Xiangyin Road, Shanghai 200433, People's Republic of China.
Rui GaoDepartment of Orthopedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai 200003, People's Republic of China.
Heng JiangDepartment of Orthopedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai 200003, People's Republic of China.
Wei ShaoDepartment of Orthopedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai 200003, People's Republic of China.
Fu YangDepartment of Medical Genetics, Second Military Medical University, 800 Xiangyin Road, Shanghai 200433, People's Republic of China; Shanghai Key Laboratory of Cell Engineering (14DZ2272300), People's Republic of China. Electronic address: yangfusq1997@smmu.edu.cn.
Xuhui ZhouDepartment of Orthopedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai 200003, People's Republic of China. Electronic address: zhouxuhui@smmu.edu.cn.
Second Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is considerable discordance in the curve progression of adolescent idiopathic scoliosis (AIS) patients between monozygotic (MZ) twins, indicating that nongenetic factors must be involved in the curve progression of AIS patients. Epigenetic processes may constitute one of these factors and have not yet been investigated in relation to curve progression in AIS patients.

methodsThe genome and methylome of peripheral monocytes were compared between MZ twins discordant for curve progression. Sets of differentially methylated sites were validated using the MassARRAY platform of Sequenome on additional samples.

resultsIn the discovery study, we found evidence suggesting a lack of differences at the genome sequence level and the presence of epigenetic differences related to the curve progression of AIS patients. The top 4 differentially methylated CpG sites associated with curve severity were tested, and only site cg01374129 (CpG site located at chr8:122583383, Hg19) was confirmed in two replication cohorts. The methylation levels of site cg01374129 were significantly lower in the progression group than in the nonprogression group. Cox regression analysis demonstrated that hypo-methylation of site cg01374129 was an independent prognostic factor for curve severity. Site cg01374129 methylation as a marker achieved a sensitivity of 76.4% and a specificity of 85.6% in differentiating between samples from patients with and without curve progression (AUC = 0.827; 95% CI: 0.780 to 0.876).

conclusionIncreased curvature is associated with decreased methylation at site cg01374129. Our results indicate that methylation of site cg01374129 may therefore serve as a promising biomarker in differing between patients with and without curve progression.

Indexed as

DNA MethylationGenetic Association StudiesGenetic Predisposition to DiseaseAdolescentCpG IslandsDisease ProgressionEpigenesis, GeneticFemaleGenetic VariationGenome, HumanGenome-Wide Association StudyHumansMalePedigreeProportional Hazards ModelsReproducibility of ResultsAdolescent idiopathic scoliosisMethylationPredictorProgressionWhole genome sequencing

Identifiers

PMID30241917
PMCPMC6197569
OpenAlexW2891785068

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.