Evidence mapPaperPMID 40409798Full record

ReviewAdvances in genetics2025

Parkinson's disease and metabolic disorders, understanding their shared co-morbidity through the autonomic nervous system.

Thanh N Pham, Rebecca E Schelling, Ken H Loh

Abstract readReview
In one paragraph

Review in Advances in genetics, 2025. 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

3 authors.

Thanh N PhamDepartment of Comparative Medicine, Yale University School of Medicine, New Haven, CT, United States.
Rebecca E SchellingDepartment of Pharmacology, Yale University School of Medicine, New Haven, CT, United States.
Ken H LohDepartment of Comparative Medicine, Yale University School of Medicine, New Haven, CT, United States; Yale Center for Molecular and Systems Metabolism, Yale University School of Medicine, New Haven, CT, United States. Electronic address: huaijinkenleon.loh@yale.edu.

Funding

Predoctoral Training at the Interface Chemistry and BiologyT32GM149444 · YALE UNIVERSITY · 2025 to 2025
$534k
NIGMS NIH HHS T32 GM149444
6 · The paper itself

Abstract

Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor and nonmotor dysfunctions. Its pathological hallmark is the aggregation of ɑ-synuclein in the central nervous system (CNS), leading to widespread loss of dopaminergic neurons in the substantia nigra (SN). Interestingly, metabolic disorders localized in the periphery, such as diabetes mellitus, frequently co-occur with PD. Emerging evidence highlights a bidirectional relationship: metabolic diseases may accelerate PD progression, while PD can exacerbate metabolic dysfunction. Beyond these associations, a growing body of research suggests that dysfunction in the peripheral nervous system, the primary communication bridge between the brain and peripheral organs, plays a critical role in these comorbidities. Autonomic nerve perturbation may accelerate dopaminergic neuronal loss in the SN and exacerbate metabolic dysregulation. This chapter synthesizes current evidence linking autonomic dysfunction with the progression of PD and related metabolic disorders, and it explores innovative therapeutic strategies leveraging this bidirectional relationship to address PD progression.

Indexed as

Autonomic Nervous SystemMetabolic DiseasesParkinson Diseasealpha-SynucleinAnimalsAutonomic Nervous System DiseasesComorbidityDisease ProgressionDopaminergic NeuronsHumansSubstantia Nigraalpha-SynucleinAdipose tissueAutonomic nervous systemGutLiverMetabolic diseasePancreasParkinson’s diseasePeripheral neurons

Identifiers

PMID40409798
PMCPMC12707340

What Socratic holds

Textmetadata
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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.