Evidence map›Paper›PMID 35645769›Full record

ArticleFrontiers in aging neuroscience2022

Age-Related Changes in Topological Properties of Individual Brain Metabolic Networks in Rats.

Xin Xue, Jia-Jia Wu, Bei-Bei Huo, Xiang-Xin Xing, Jie Ma, Yu-Lin Li, Dong Wei, Yu-Jie Duan, Chun-Lei Shan, Mou-Xiong Zheng and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. 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, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

12 authors at 2 institutions in 1 country.

Xin XueSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jia-Jia WuDepartment of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Bei-Bei HuoSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xiang-Xin XingSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jie MaSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yu-Lin LiSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Dong WeiSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yu-Jie DuanSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Chun-Lei ShanSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Mou-Xiong ZhengDepartment of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xu-Yun HuaDepartment of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jian-Guang XuSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Shanghai University of Traditional Chinese Medicine · CNYueyang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Normal aging causes profound changes of structural degeneration and glucose hypometabolism in the human brain, even in the absence of disease. In recent years, with the extensive exploration of the topological characteristics of the human brain, related studies in rats have begun to investigate. However, age-related alterations of topological properties in individual brain metabolic network of rats remain unknown. In this study, a total of 48 healthy female Sprague-Dawley (SD) rats were used, including 24 young rats and 24 aged rats. We used Jensen-Shannon Divergence Similarity Estimation (JSSE) method for constructing individual metabolic networks to explore age-related topological properties and rich-club organization changes. Compared with the young rats, the aged rats showed significantly decreased clustering coefficient (

Indexed as

aginggraph theorymetabolic networksPETrich-club organization

Identifiers

PMID35645769
PMCPMC9136077
OpenAlexW4280563582

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.