Evidence map›Paper›PMID 39131190›Full record

ArticleBio-protocol2024

A Social Stimulation Paradigm to Ameliorate Memory Deficit in Alzheimer's Disease.

Qiaoyun Ren, Susu Wang, Wei Xie, An Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bio-protocol, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Qiaoyun RenThe Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, The School of Life Science and Technology, Southeast University, Nanjing, China.
Susu WangThe Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, The School of Life Science and Technology, Southeast University, Nanjing, China.
Wei XieThe Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, The School of Life Science and Technology, Southeast University, Nanjing, China.
An LiuThe Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, The School of Life Science and Technology, Southeast University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) poses a global health threat, progressively robbing patients of their memory and cognitive abilities. While it is recognized that meaningful social contact can alleviate the symptoms of dementia in AD patients, the precise mechanisms by which social stimulation mitigates AD symptoms remain poorly understood. We found that social interaction with novel mice, also known as novel social, simulated meaningful socializing. Therefore, we developed the multiple novel social (MNS) stimulation paradigm to train AD model mice and found that MNS effectively alleviated cognitive deficits in AD mice. This discovery not only opens up a new avenue for investigating the relationship between social stimulation and Alzheimer's disease but also lays the groundwork for delving into the underlying mechanisms, thereby providing crucial theoretical support for developing novel strategies to treat Alzheimer's disease. Key features • Designing a new social stimulation method to simulate meaningful social interactions in daily life. • The MNS stimulation protocol spans 14 days, with one novel mouse introduced to the subject mice each day. • The subjects were 2.5-month-old FAD

Indexed as

Alzheimer's diseaseCognition deficitCognitive abilityMultiple novel social stimulationSocial memory

Identifiers

PMID39131190
PMCPMC11309954

What OpenQuestion holds

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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.