Evidence map›Paper›PMID 38786584›Full record

ArticleMarine drugs2024

Optimization of the Preparation Process of Glucuronomannan Oligosaccharides and Their Effects on the Gut Microbiota in MPTP-Induced PD Model Mice.

Baoxiang Wang, Lihua Geng, Jing Wang, Yuxi Wei, Changhui Yan, Ning Wu, Yang Yue, Quanbin Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Marine drugs, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Baoxiang WangCollege of Life Sciences, Qingdao University, 308 Ningxia Road, Qingdao 266003, China.
Lihua GengCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
Jing WangCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
Yuxi WeiCollege of Life Sciences, Qingdao University, 308 Ningxia Road, Qingdao 266003, China.ORCID 0000-0002-0616-479X
Changhui YanCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
Ning WuCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
Yang YueCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.ORCID 0000-0002-7736-0405
Quanbin ZhangCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.

Funding

Jing Wang ZR2022MD007
6 · The paper itself

Abstract

Parkinson's disease (PD) is a prevalent neurodegenerative disorder, and accumulating evidence suggests a link between dysbiosis of the gut microbiota and the onset and progression of PD. In our previous investigations, we discovered that intraperitoneal administration of glucuronomannan oligosaccharides (GMn) derived from

Indexed as

Disease Models, AnimalGastrointestinal MicrobiomeMice, Inbred C57BLOligosaccharides1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridineAnimalsDopaminergic NeuronsDysbiosisGlucuronatesMaleMannoseMiceNeuroprotective AgentsParkinson Disease1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridineGlucuronatesglucuronomannanMannoseNeuroprotective AgentsOligosaccharidesglucuronomannangut microbiotaoligosaccharideParkinson’s disease (PD)

Identifiers

PMID38786584
PMCPMC11123026

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.