Evidence map›Paper›PMID 42688220›Full record

SynthesisFrontiers in aging neuroscience2026

Tai Chi for improving motor symptoms in Parkinson's disease patients: a systematic review of mechanisms.

Zhi Li, Xiupan Wei, Pengyi Gao, Jiayi Zhang, Qian Wang, Pei Wang, Ting Zhou, Hongxing Wang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in aging neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zhi Li *Zhongda Hospital Southeast University, Department of Rehabilitation Medicine, Nanjing, Jiangsu, China.
Xiupan Wei *Zhongda Hospital Southeast University, Department of Rehabilitation Medicine, Nanjing, Jiangsu, China.
Pengyi Gao *Zhongda Hospital Southeast University, Department of Rehabilitation Medicine, Nanjing, Jiangsu, China.
Jiayi ZhangDepartment of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Qian WangDepartment of Rehabilitation Medicine, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Pei WangZhongda Hospital Southeast University, Department of Rehabilitation Medicine, Nanjing, Jiangsu, China.
Ting ZhouZhongda Hospital Southeast University, Department of Rehabilitation Medicine, Nanjing, Jiangsu, China.
Hongxing WangZhongda Hospital Southeast University, Department of Rehabilitation Medicine, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In recent years, Tai Chi (TC) training has played an increasingly important role in the management of motor disorders in Parkinson's disease (PD) patients. A thorough understanding of the therapeutic mechanisms of TC is crucial for optimizing its clinical efficacy. The long-term practice of TC has been shown to enhance patients' balance and postural stability, thereby reducing the risk of falls and improving their walking ability. Objectives: This systematic review seeks to elucidate the mechanisms through which TC enhances motor symptoms in individuals diagnosed with PD. It also endeavors to conduct a comprehensive review of existing evidence pertaining to this phenomenon. Methods: This systematic review was conducted following PRISMA 2020 guidelines, structured per PICOS (Population: adults with Parkinson's disease; Intervention: Tai Chi, any style/dosage; Comparator: no intervention, usual care, alternative exercise, or pre-post comparison; Outcomes: biomechanical, molecular/metabolic, or neural-network mechanisms linked to motor symptoms; Design: clinical trials reporting ≥ 1 mechanistic outcome). PubMed, Embase, Cochrane Library, and Web of Science were searched in June 2026, yielding 10 eligible studies (6 RCTs, 4 non-randomized) on TC's effects in Parkinson's disease. Results and conclusion: TC was associated with improvements in postural control, balance, muscle strength, and motor symptoms, alongside reductions in muscle tone and enhancements in quality of life in Parkinson's patients. Most proposed molecular, metabolic, and neural-network mechanisms rely on indirect (peripheral biomarker) or single-study evidence rather than direct central measurements, and remain hypothesis-generating. Candidate mechanisms include increased dopamine-pathway markers, regulated inflammatory responses, and altered neurotransmitter-related metabolism. TC may also affect amino-acid, energy, and neurotransmitter metabolism - including enhanced arginine biosynthesis, tricarboxylic acid cycle activity, and adenosine levels - and upregulate peripheral blood glutathione, an antioxidant marker that may offset oxidative stress relevant to dopaminergic neuron survival, contributing to its therapeutic effects. Molecularly, TC was linked to enhanced ubiquitin-proteasome system activity in a single study, but this finding is derived from peripheral blood and requires confirmation. Biomechanically, it improves center-of-pressure displacement and muscle activity; at the neural-network level, it is linked to improved coordination and activation in motor-related brain areas. However, these mechanistic conclusions are preliminary. Most molecular and metabolic evidence is indirect (peripheral biomarkers) and derived from single studies with small sample sizes, requiring confirmation in larger, centrally-measured trials. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42024486254.

Indexed as

biomechanicsneural networkneuroinflammationParkinson’s diseaseTai Chi

Identifiers

PMID42688220
PMCPMC13534119

What OpenQuestion holds

Textmetadata
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.