Evidence map›Paper›PMID 23740209›Full record

ArticleNeuroscience bulletin2013

MicroRNA-98 induces an Alzheimer's disease-like disturbance by targeting insulin-like growth factor 1.

Yi-Kui Hu, Xun Wang, Lian Li, Yan-Hua Du, Heng-Tai Ye, Cheng-Yan Li

Abstract read
In one paragraph

Article in Neuroscience bulletin, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. ACE2: Friend or Foe in Post-COVID-19 Neurodegeneration?International journal of molecular sciences · 2025
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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

6 authors at 3 institutions in 1 country.

Yi-Kui HuMedical School of Wuhan University, Wuhan, 430060, China.
Xun Wang
Lian Li
Yan-Hua Du
Heng-Tai Ye
Cheng-Yan Li
Huazhong University of Science and Technology · CNWuhan University · CNWuchang University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by extracellular senile plaques and intracellular neurofibrillary tangles. Many microRNAs (miRs) participate in regulating amyloid β (Aβ) formation and the metabolism of tau protein in the process of AD, and some are up-regulated in AD patients or transgenic models of AD. However, the role of miR-98 in AD remains unclear. Here, we showed that the expression of miR-98 was negatively correlated with the insulin-like growth factor 1 (IGF-1) protein level in APP/PS1 mice. MiR-98 target sites in IGF-1 were confirmed by luciferase assay in HEK293 cells. Overexpression of miR-98 in N2a/APP cells down-regulated the IGF-1 protein level and promoted Aβ production, whereas inhibition of miR-98 in N2a/APP cells up-regulated the IGF-1 protein level and suppressed Aβ production. Furthermore, overexpression of miR-98 in N2a/WT cells increased the phosphorylation of tau, whereas inhibition of miR-98 reduced it. These results suggest that miR-98 increases Aβ formation and tau phosphorylation by inhibiting the translation of IGF-1, which might provide a therapeutic strategy for AD.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAnimalsDown-RegulationHEK293 CellsHumansInsulin-Like Growth Factor IMiceMice, TransgenicMicroRNAsPhosphorylationtau ProteinsAmyloid beta-Peptidesinsulin-like growth factor-1, mouseInsulin-Like Growth Factor IMicroRNAsMIRN98 microRNA, mousetau Proteins

Identifiers

PMID23740209
PMCPMC5561832
OpenAlexW2023481232

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.