Evidence map›Paper›PMID 37718594›Full record

ArticleCNS neuroscience & therapeutics2024

Distinct serum GDNF coupling with brain structural and functional changes underlies cognitive status in Parkinson's disease.

Chuanxi Tang, Ruiao Sun, Ke Xue, Mengying Wang, Sijie Liang, Piniel Alphayo Kambey, Mingyu Shi, Changyu Wu, Gang Chen, Dianshuai Gao

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 11% 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

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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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 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

10 authors at 3 institutions in 1 country.

Chuanxi TangDepartment of Neurobiology, Xuzhou Key Laboratory of Neurobiology, Xuzhou Medical University, Xuzhou, Jiangsu, China.ORCID 0000-0002-5500-8419
Ruiao SunDepartment of Neurobiology, Xuzhou Key Laboratory of Neurobiology, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Ke XueDepartment of Neurobiology, Xuzhou Key Laboratory of Neurobiology, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Mengying WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Sijie LiangDepartment of Rehabilitation, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Piniel Alphayo KambeyDepartment of Neurobiology, Xuzhou Key Laboratory of Neurobiology, Xuzhou Medical University, Xuzhou, Jiangsu, China.ORCID 0000-0003-2436-0943
Mingyu ShiDepartment of Neurobiology, Xuzhou Key Laboratory of Neurobiology, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Changyu WuSchool of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Gang ChenDepartment of Neurology, Shuyang Hospital of Traditional Chinese Medicine, Suqian, Jiangsu, China.
Dianshuai GaoDepartment of Neurobiology, Xuzhou Key Laboratory of Neurobiology, Xuzhou Medical University, Xuzhou, Jiangsu, China.ORCID 0000-0001-8567-0238
Xuzhou Medical College · CNPeking University · CNSuzhou Traditional Chinese Medicine Hospital · CN

Funding

Jiangsu Province Science Foundation for Youths BK20210903National Natural Science Foundation of China 81971006National Natural Science Foundation of China 82101263Research Foundation for Talented Scholars of Xuzhou Medical University RC20552114The Postgraduate Research and Practice Innovation Program of Jiangsu Province KYCX22_2867
6 · The paper itself

Abstract

aimAberrations in brain connections are implicated in the pathogenesis of Parkinson's disease (PD). We previously demonstrated that Glial cell-derived neurotrophic factor (GDNF) reduction is associated with cognition decline. Nonetheless, it is elusive if the pattern of brain topological connectivity differed across PD with divergent serum GDNF levels, and the accompanying profile of cognitive deficits has yet to be determined.

methodsWe collected data on the participants' cognition, demographics, and serum GDNF levels. Participants underwent 3.0T magnetic resonance imaging, and we assessed the degree centrality, brain network topology, and cortical thickness of the healthy control (HC) (n = 25), PD-high-GDNF (n = 19), and PD-low-GDNF (n = 19) groups using graph-theoretic measures of resting-state functional MRI to reveal how much brain connectivity varies and its clinical correlates, as well as to determine factors predicting the cognitive status in PD.

resultsThe results show different network properties between groups. Degree centrality abnormalities were found in the right inferior frontal gyrus and right parietal lobe postcentral gyrus, linked with cognition scores. The two aberrant clusters serve as a potentially powerful signal for determining whether a patient has PD and the patient's cognition level after integrating with GDNF, duration, and dopamine dosage. Moreover, we found a significant positive relationship between the thickness of the left caudal middle frontal lobe and a plethora of cognitive domains. Further discriminant analysis revealed that the cortical thickness of this region could distinguish PD patients from healthy controls. The mental state evaluation will also be more precise when paired with GDNF and duration.

conclusionOur findings reveal that the topological features of brain networks and cortical thickness are altered in PD patients with cognitive deficits. The above change, accompanied by the serum GDNF, may have merit as a diagnosis marker for PD and, arguably, cognition status.

Indexed as

Cognitive DysfunctionParkinson DiseaseBrainCognitionGlial Cell Line-Derived Neurotrophic FactorHumansMagnetic Resonance ImagingGDNF protein, humanGlial Cell Line-Derived Neurotrophic Factorcognitive dysfunctioncortical thicknessdegree centralityfMRIGDNFParkinson's disease

Identifiers

PMID37718594
PMCPMC10916445
OpenAlexW4386817589

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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.