Evidence map›Paper›PMID 27242521›Full record

ArticleFrontiers in aging neuroscience2016

Abnormal Changes of Brain Cortical Anatomy and the Association with Plasma MicroRNA107 Level in Amnestic Mild Cognitive Impairment.

Tao Wang, Feng Shi, Yan Jin, Weixiong Jiang, Dinggang Shen, Shifu Xiao

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01819545 (Shanghai Mental Health Center), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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.

NCT01819545 unknown statusnot on this map

Shanghai Mental Health Center

TypeobservationalSponsorShanghai Mental Health CenterRan2012 to 2015Enrolled300ConditionsAlzheimer's Disease
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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  17. Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis.Machine learning in medical imaging. MLMI (Workshop) · 2016
    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

6 authors at 3 institutions in 3 countries.

Tao WangDepartment of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of MedicineShanghai, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong UniversityShanghai, China; IDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel HillChapel Hill, NC, USA.
Feng ShiIDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel Hill Chapel Hill, NC, USA.
Yan JinIDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel Hill Chapel Hill, NC, USA.
Weixiong JiangAlzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University Shanghai, China.
Dinggang ShenIDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel HillChapel Hill, NC, USA; Department of Brain and Cognitive Engineering, Korea UniversitySeoul, South Korea.
Shifu XiaoDepartment of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of MedicineShanghai, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong UniversityShanghai, China.
University of North Carolina at Chapel Hill · USKorea University · KRShanghai Mental Health Center · CN

Funding

Longitudinal Mapping of Human Brain Development in the First Years of LifeR01EB008374 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YAP, PEW-THIAN · 2009 to 2024
$5.1M
Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRIR01EB006733 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YAP, PEW-THIAN · 2008 to 2020
$4.5M
Quantifying Brain Abnormality by Multimodality Neuroimage Analysis,R01AG041721 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIU, MINGXIA · 2012 to 2019
$3.0M
Fast, Robust Analysis of Large Population DataR01EB009634 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHEN, DINGGANG · 2011 to 2014
$1.3M
NIA NIH HHS R01 AG041721NIBIB NIH HHS R01 EB006733NIBIB NIH HHS R01 EB008374NIBIB NIH HHS R01 EB009634
6 · The paper itself

Abstract

unlabelledMicroRNA107 (Mir107) has been thought to relate to the brain structure phenotype of Alzheimer's disease. In this study, we evaluated the cortical anatomy in amnestic mild cognitive impairment (aMCI) and the relation between cortical anatomy and plasma levels of Mir107 and beta-site amyloid precursor protein (APP) cleaving enzyme 1 (BACE1). Twenty aMCI (20 aMCI) and 24 cognitively normal control (NC) subjects were recruited, and T1-weighted MR images were acquired. Cortical anatomical measurements, including cortical thickness (CT), surface area (SA), and local gyrification index (LGI), were assessed. Quantitative RT-PCR was used to examine plasma expression of Mir107, BACE1 mRNA. Thinner cortex was found in aMCI in areas associated with episodic memory and language, but with thicker cortex in other areas. SA decreased in aMCI in the areas associated with working memory and emotion. LGI showed a significant reduction in aMCI in the areas involved in language function. Changes in Mir107 and BACE1 messenger RNA plasma expression were correlated with changes in CT and SA. We found alterations in key left brain regions associated with memory, language, and emotion in aMCI that were significantly correlated with plasma expression of Mir107 and BACE1 mRNA. This combination study of brain anatomical alterations and gene information may shed lights on our understanding of the pathology of AD. CLINICAL

trial registrationhttp://www.ClinicalTrials.gov, identifier NCT01819545.

Indexed as

Alzheimer’s diseaseamnestic mild cognitive impairmentbiological markersgeneticssurface-based morphometry

Identifiers

PMID27242521
PMCPMC4870937
OpenAlexW2399238095

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.