Evidence map›Paper›PMID 28669840›Full record

ArticleMolecular therapy : the journal of the American Society of Gene Therapy2017

Characterization of circRNA-Associated-ceRNA Networks in a Senescence-Accelerated Mouse Prone 8 Brain.

Shuai Zhang, Dina Zhu, Hong Li, Hejian Li, Chengqiang Feng, Wensheng Zhang

Abstract read
In one paragraph

Article in Molecular therapy : the journal of the American Society of Gene Therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

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15 more citing papers are in PubMed but not listed here.

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.

Shuai ZhangBeijing Area Major Laboratory of Protection and Utilization of Traditional Chinese Medicine, Beijing Normal University, Beijing 100088, China; Engineering Research Center of Natural Medicine, Ministry of Education, Beijing Normal University, Beijing 100088, China; Faculty of Geographical Science, College of Resources Science & Technology, Beijing Normal University, Beijing 100088, China.
Dina ZhuBeijing Area Major Laboratory of Protection and Utilization of Traditional Chinese Medicine, Beijing Normal University, Beijing 100088, China; Engineering Research Center of Natural Medicine, Ministry of Education, Beijing Normal University, Beijing 100088, China; Faculty of Geographical Science, College of Resources Science & Technology, Beijing Normal University, Beijing 100088, China.
Hong LiBeijing Area Major Laboratory of Protection and Utilization of Traditional Chinese Medicine, Beijing Normal University, Beijing 100088, China; Engineering Research Center of Natural Medicine, Ministry of Education, Beijing Normal University, Beijing 100088, China; Faculty of Geographical Science, College of Resources Science & Technology, Beijing Normal University, Beijing 100088, China.
Hejian LiBeijing Area Major Laboratory of Protection and Utilization of Traditional Chinese Medicine, Beijing Normal University, Beijing 100088, China; Engineering Research Center of Natural Medicine, Ministry of Education, Beijing Normal University, Beijing 100088, China; Faculty of Geographical Science, College of Resources Science & Technology, Beijing Normal University, Beijing 100088, China.
Chengqiang FengBeijing Area Major Laboratory of Protection and Utilization of Traditional Chinese Medicine, Beijing Normal University, Beijing 100088, China; Engineering Research Center of Natural Medicine, Ministry of Education, Beijing Normal University, Beijing 100088, China; Faculty of Geographical Science, College of Resources Science & Technology, Beijing Normal University, Beijing 100088, China.
Wensheng ZhangBeijing Area Major Laboratory of Protection and Utilization of Traditional Chinese Medicine, Beijing Normal University, Beijing 100088, China; Engineering Research Center of Natural Medicine, Ministry of Education, Beijing Normal University, Beijing 100088, China; Faculty of Geographical Science, College of Resources Science & Technology, Beijing Normal University, Beijing 100088, China; National & Local United Engineering Research Center for Sanqi Resources Protection and Utilization Technology, Kunming 650000, China. Electronic address: zws@bnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is one of the most common neurodegenerative diseases. Although many researchers have attempted to explain the origins of AD, developing an effective strategy in AD clinical therapy is difficult. Recent studies have revealed a potential link between AD and circRNA-associated-ceRNA networks. However, few genome-wide studies have identified the potential circRNA-associated-ceRNA pairs involved in AD. In this study, we systematically explored the circRNA-associated-ceRNA mechanism in a 7-month-old senescence-accelerated mouse prone 8 (SAMP8) model brain through deep RNA sequencing. We obtained 235 significantly dysregulated circRNA transcripts, 30 significantly dysregulated miRNAs, and 1,202 significantly dysregulated mRNAs. We then constructed the most comprehensive circRNA-associated-ceRNA networks in SAMP8 brain. GO analysis revealed that these networks were involved in regulating the development of AD from various angles, for instance, axon terminus (GO: 0043679) and synapse (GO: 0045202). Following rigorous selection, we discovered that the circRNA-associated-ceRNA networks in this AD mouse model were mainly involved in the regulation of Aβ clearance (Hmgb2) and myelin function (Dio2). This research is the first to provide a systematic dissection of circRNA-associated-ceRNA profiling in SAMP8 mouse brain. The selected circRNA-associated-ceRNA networks can profoundly affect the diagnosis and therapy of AD in the future.

Indexed as

RNA InterferenceAlzheimer DiseaseAnimalsBrainCluster AnalysisComputational BiologyDisease Models, AnimalGene Expression ProfilingGene Expression RegulationGene OntologyGene Regulatory NetworksGenetic Association StudiesMaze LearningMemoryMiceMice, TransgenicMicroRNAsRNARNA, CircularRNA, MessengerAlzheimer’s diseasecircRNA-associated-ceRNASAMP8

Identifiers

PMID28669840
PMCPMC5589091

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.