Evidence map›Paper›PMID 31240443›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2020

Gray matter volume and microRNA levels in patients with attention-deficit/hyperactivity disorder.

Liang-Jen Wang, Sung-Chou Li, Ho-Chang Kuo, Wen-Jiun Chou, Min-Jing Lee, Miao-Chun Chou, Huai-Hsuan Tseng, Chia-Fen Hsu, Sheng-Yu Lee, Wei-Che Lin

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In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 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

10 authors at 4 institutions in 1 country.

Liang-Jen WangDepartment of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.ORCID http://orcid.org/0000-0002-5320-1151
Sung-Chou LiGenomics and Proteomics Core Laboratory, Department of Medical Research, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Ho-Chang KuoDepartment of Pediatrics, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Wen-Jiun ChouDepartment of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Min-Jing LeeDepartment of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Miao-Chun ChouDepartment of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Huai-Hsuan TsengDepartment of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chia-Fen HsuDepartment of Psychology, Clinical Psychological Room, Chung Shan Medical University Hospital, Taichung, Taiwan.
Sheng-Yu LeeDepartment of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Wei-Che LinDepartment of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, #123, Da-Pei Rd, Niaosong, Kaohsiung, Taiwan. u64lin@yahoo.com.tw.
Chang Gung University · TWChung Shan Medical University Hospital · TWKaohsiung Medical University · TWNational Cheng Kung University Hospital · TW

Funding

Chang Gung Memorial Hospital CMRPG8E1451
6 · The paper itself

Abstract

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder often characterized by gray matter (GM) volume reductions. MicroRNAs, which participate in regulating gene expression, potentially influence neurodevelopment. This study aimed to explore whether differential GM volume is associated with differential miRNA levels in ADHD patients. We recruited a total of 30 drug-naïve patients with ADHD (mean age 10.6 years) and 25 healthy controls (mean age 10.6 years) that underwent a single session of 3.0-T whole brain structural MRI scanning. RNA samples from the participants' white blood cells were collected to identify the ΔCt values of three miRNAs (miR-30e-5p, miR-126-5p, and miR-140-3p) using the real-time quantitative reverse transcription polymerase chain reaction. In comparison to the control group, ADHD patients demonstrated a significantly lower GM volume in the cingulate gyrus, left middle temporal gyrus, right middle occipital gyrus, left fusiform gyrus, and significantly higher ΔCt values of miR-30e-5p, miR-126-5p, and miR-140-3p. In the ADHD group, the GM volume of cingulate gyrus and left fusiform gyrus was negatively correlated with the ΔCt values of miR-30e-5p, miR-140-3p. The GM volume of left fusiform gyrus was negatively correlated to ADHD behavioral symptoms. Using structural equation modeling (SEM), we observed that the effect of miR-140-3p on hyperactivity/impulsivity symptoms was mediated by left fusiform gyrus. Our findings support that GM volume reduction and miRNA increases may be biomarkers for ADHD in children and adolescents. Expression levels of miRNAs may affect the development of brain structures and further participate in the pathophysiology of ADHD.

Indexed as

AdolescentAttention Deficit Disorder with HyperactivityBiomarkersCerebral CortexChildFemaleGene ExpressionGray MatterHumansMagnetic Resonance ImagingMaleMicroRNAsBiomarkersMicroRNAsMirn140 microRNA, humanMIRN30a microRNA, humanADHDBrain imagingCortexEpigeneticmiRNA

Identifiers

PMID31240443
OpenAlexW2956155542

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.