Evidence map›Paper›PMID 39543616›Full record

ArticleImmunity & ageing : I & A2024

Peripheral CD4

Lian Yu, Miao-Miao Liu, Mei-Qi Guan, Rui Wang, Xiao-Rong Yang, Xiu-Min Zhang, Jing-Jing Wei, Shu-Fen Wu, Hong Gu, Qiang Fu and 2 more

Abstract read
In one paragraph

Article in Immunity & ageing : I & A, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Lian Yu *Department of Neurology, Research Center for Neurological Diseases, First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Miao-Miao Liu *Department of Neurology, Research Center for Neurological Diseases, First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Mei-Qi GuanDepartment of Pediatrics, Shanxi Medical University, Taiyuan, 030001, China.
Rui WangDepartment of Neurology, Research Center for Neurological Diseases, First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Xiao-Rong YangThe Department of Physiology, Shanxi Medical University, Taiyuan, 030001, China.
Xiu-Min ZhangDepartment of Neurology, Research Center for Neurological Diseases, First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Jing-Jing WeiDepartment of Pediatrics, Shanxi Medical University, Taiyuan, 030001, China.
Shu-Fen WuDepartment of Pediatrics, Shanxi Medical University, Taiyuan, 030001, China.
Hong GuDepartment of Neurology, Research Center for Neurological Diseases, First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Qiang FuDepartment of Neurology, Research Center for Neurological Diseases, First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Jun-Hong GuoDepartment of Neurology, Research Center for Neurological Diseases, First Hospital of Shanxi Medical University, Taiyuan, 030001, China. neuroguo@163.com.
Yan-Li LiDepartment of Neurology, Research Center for Neurological Diseases, First Hospital of Shanxi Medical University, Taiyuan, 030001, China. liyanli_01@163.com.

Funding

National major R&D projects of China-Scientific technological innovation 2030 2021ZD0201801National Natural Science Foundation of China 82101641Open Fund from Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, China KLMEC/SXMU-202010the Natural Science Foundation of Shanxi Province, China 20210302124173
6 · The paper itself

Abstract

Cognitive decline is a critical hallmark of brain aging. Although aging is a natural process, there is significant heterogeneity in cognition levels among individuals; however, the underlying mechanisms remain uncertain. In our study, we classified aged male Sprague‒Dawley rats into aged cognition-unimpaired (AU) group and aged cognition-impaired (AI) group by using an attentional set-shifting task. The transcriptome sequencing results of medial prefrontal cortex (mPFC) demonstrated significant differences in microglial activation and inflammatory response pathways between the two groups. Specifically, compared to AU rats, AI rats exhibited a greater presence of CD86-positive microglia and major histocompatibility complex class II (MHC-II)-positive microglia, along with elevated inflammatory molecules, in mPFC. Conversely, AI rats exhibited a reduction in the percentage of microglia expressing CD200R and the anti-inflammatory molecules Arg-1 and TGF-β. Additionally, peripheral blood analysis of AI rats demonstrated elevated levels of Th17 and Th1 cells, along with proinflammatory molecules; however, decreased levels of Treg cells, along with anti-inflammatory molecules, were observed in AI rats. Our research suggested that peripheral Th17/Treg cells and central microglial activation were associated with cognitive heterogeneity in aged rats. These findings may provide a new target for healthy aging.

Indexed as

Aging-associated cognitive declineCognitive heterogeneityInflammationMicroglial activationTh17/Treg cells

Identifiers

PMID39543616
PMCPMC11562703

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.