Evidence map›Paper›PMID 37869373›Full record

ReviewFrontiers in aging neuroscience2023

An integrated neuroimaging-omics approach for the gut-brain communication pathways in Alzheimer's disease.

Can Sheng, Wenying Du, Yuan Liang, Peng Xu, Qingqing Ding, Xue Chen, Shulei Jia, Xiaoni Wang

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Can ShengDepartment of Neurology, The Affiliated Hospital of Jining Medical University, Jining, China.
Wenying DuDepartment of Neurology, China-Japan Friendship Hospital, Beijing, China.
Yuan LiangDepartment of Neurology, The Affiliated Hospital of Jining Medical University, Jining, China.
Peng XuDepartment of Neurology, The Affiliated Hospital of Jining Medical University, Jining, China.
Qingqing DingDepartment of Neurology, The Affiliated Hospital of Jining Medical University, Jining, China.
Xue ChenDepartment of Neurology, The Affiliated Hospital of Jining Medical University, Jining, China.
Shulei JiaInstitute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Xiaoni WangDepartment of Neurology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Affiliated Hospital of Jining Medical University · CNChina-Japan Friendship Hospital · CNChinese Academy of Sciences · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A key role of the gut microbiota in the pathogenesis of neurodegenerative diseases, such as Alzheimer's disease (AD), has been identified over the past decades. Increasing clinical and preclinical evidence implicates that there is bidirectional communication between the gut microbiota and the central nervous system (CNS), which is also known as the microbiota-gut-brain axis. Nevertheless, current knowledge on the interplay between gut microbiota and the brain remains largely unclear. One of the primary mediating factors by which the gut microbiota interacts with the host is peripheral metabolites, including blood or gut-derived metabolites. However, mechanistic knowledge about the effect of the microbiome and metabolome signaling on the brain is limited. Neuroimaging techniques, such as multi-modal magnetic resonance imaging (MRI), and fluorodeoxyglucose-positron emission tomography (FDG-PET), have the potential to directly elucidate brain structural and functional changes corresponding with alterations of the gut microbiota and peripheral metabolites

Indexed as

Alzheimer’s diseasemetabolomemicrobiomemicrobiota-gut-brain axisneuroimaging

Identifiers

PMID37869373
PMCPMC10587434
OpenAlexW4387406450

What OpenQuestion 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 OpenQuestion graph.