Evidence map›Paper›PMID 40989840›Full record

ReviewFrontiers in pharmacology2025

Research progress on natural products in regulating the gut microbiota in Parkinson's disease.

Ying Jia, Yuanyuan Zhang, Xin Tai, Tengyu Zhao, Hanwen Zhang, Haichun Zhou

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 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

6 authors.

Ying JiaThe Second Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, China.
Yuanyuan ZhangThe Fourth Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Xin TaiMedical Affairs Department, Heilongjiang Province Second Hospital, Harbin, China.
Tengyu ZhaoSchool of Basic Medicine, Heilongjiang University Of Chinese Medicine, Harbin, China.
Hanwen ZhangThe Second Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, China.
Haichun ZhouThe Fourth Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a progressive neurodegenerative disorder associated with α-synuclein deposition and dopaminergic neuron degeneration. Recent studies have revealed a close correlation between gut microbiota dysbiosis and the pathogenesis and progression of PD. Gut microbiota may influence the disease through multiple pathways, including promoting α-synuclein pathology, disrupting the gut-brain barrier, and triggering inflammation and neuronal damage. Currently, drug treatments for PD primarily focus on compensating for dopaminergic neurotransmission deficits, delaying neuronal degeneration, and clearing abnormal protein aggregates. However, these drugs can only slow disease progression and are associated with significant adverse effects. In contrast, natural products exhibit distinct advantages in modulating PD pathological features by targeting the "gut microbiota-metabolite axis," owing to their multi-target synergistic regulation and favorable safety profiles, making them an ideal strategy for PD intervention. Based on this, we provide a comprehensive review of natural products that regulate the gut microbiota, analyze their specific mechanisms, and offer novel insights into this approach and provide a theoretical foundation for developing safe and effective PD therapeutics.

Indexed as

gut microbiotamechanismsnatural productParkinson’s diseaseresearch progress

Identifiers

PMID40989840
PMCPMC12450883

What Socratic 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 Socratic graph.