Evidence map›Paper›PMID 42435104›Full record

ArticleAntonie van Leeuwenhoek2026

Deterministic selection and compositional turnover in Parkinson's disease-associated gut dysbiosis.

Yuting Qiao, Zhanshan Sam Ma

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Article in Antonie van Leeuwenhoek, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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

2 authors.

Yuting QiaoComputational Biology and Medical Ecology Lab, Biostatistics and Image Genetics Lab, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650204, Yunnan, China.
Zhanshan Sam MaComputational Biology and Medical Ecology Lab, Biostatistics and Image Genetics Lab, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650204, Yunnan, China. ma@vandals.uidaho.edu.

Funding

National Natural Science Foundation of China NSFC Grant# 72274192
6 · The paper itself

Abstract

The scientific understanding of links between Parkinson's disease (PD) and gut microbiome dysbiosis has advanced significantly, yet the ecological mechanisms driving these microbial changes remain poorly understood. To address this gap, we postulated that PD-associated gut dysbiosis arises as harmful microbes outcompete beneficial bacteria, and consequently any therapeutic strategies must both suppress opportunistic pathogens and restore protective, fiber-degrading microbes to effectively rebalance the gut microbiome in PD. To evaluate ecological patterns consistent with this hypothesis, we apply Sloan's near-neutral model (SNM), Ning et al.'s stochasticity framework, and ecological network analysis to reanalyze six published gut microbiome datasets (1957 samples total: 804 healthy controls, 1153 PD cases). We first applied SNM to categorize bacterial species as neutral, positively selected, or negatively selected. While the overall proportions of these categories were similar between groups (neutral: ~ 40%, positively selected: ~ 47%, negatively selected: ~ 13%), stochasticity framework analysis revealed significantly stronger deterministic selection in PD microbiomes. Shared species analysis (SSA) resolved this apparent paradox by demonstrating substantial compositional shifts within each species category, indicating that while classification frequencies remained stable, the specific microbes occupying these ecological niches changed significantly in PD. This divergence between SNM category proportions and NSR values highlights a subtle yet critical aspect of community assembly dynamics. Ecological network analysis further revealed that neutral species had fewer antagonistic co-occurrence links, consistent with their ecological equivalence, while negatively selected species maintained higher relative abundances in both groups. Together, these findings indicate that PD-associated gut microbiomes are characterized by stronger deterministic assembly signatures and substantial compositional turnover within near-neutral ecological categories. These patterns are consistent with altered ecological assembly signatures in PD-associated dysbiosis.

Indexed as

BacteriaDysbiosisGastrointestinal MicrobiomeParkinson DiseaseHumansGut microbiomeNeutral theory of biodiversityParkinson’s disease (PD)Shared species analysis (SSA)Stochasticity analysis

Identifiers

PMID42435104

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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.