Evidence map›Paper›PMID 41864063›Full record

ArticleEBioMedicine2026

Large-scale profiling of blood microbial signatures in patients with Parkinson's disease and its association with disease progression: a cross-sectional study.

Xingxing Jian, Pei Yu, Yi Zhang, Hongxu Pan, Keman Wu, Hongxi Zhang, Hao Zhang, Yuanfeng Huang, Yuwen Zhao, Yige Wang and 9 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EBioMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

19 authors.

Xingxing JianBioinformatics Center, National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China. Electronic address: jianxingxing@csu.edu.cn.
Pei YuBioinformatics Center, National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China; MOE Key Laboratory of Pediatric Rare Diseases & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Yi ZhangBioinformatics Center, National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Hongxu PanKey Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Keman WuBioinformatics Center, National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Hongxi ZhangBioinformatics Center, National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Hao ZhangBioinformatics Center, National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China; MOE Key Laboratory of Pediatric Rare Diseases & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Yuanfeng HuangBioinformatics Center, National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Yuwen ZhaoKey Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yige WangKey Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yijing WangBioinformatics Center, National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Qiao ZhouBioinformatics Center, National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Xiaotuan ZhangDepartment of Neurology & Multi-omics Research Center for Brain Disorders, The First Affiliated Hospital, University of South China, Hengyang, Hunan, China.
Guihu ZhaoBioinformatics Center, National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Bin LiBioinformatics Center, National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Jifeng GuoKey Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Kun XiaMOE Key Laboratory of Pediatric Rare Diseases & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Beisha TangKey Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Department of Neurology & Multi-omics Research Center for Brain Disorders, The First Affiliated Hospital, University of South China, Hengyang, Hunan, China. Electronic address: bstang7398@163.com.
Jinchen LiBioinformatics Center, National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China; MOE Key Laboratory of Pediatric Rare Diseases & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China; Center for Computational Biology and Bioinformatics, Furong Laboratory, Changsha, Hunan, China. Electronic address: lijinchen@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging evidence supports the presence of microbial signatures in the blood, yet their clinical relevance remains poorly understood. In this study, we profiled blood microbial signatures in patients with Parkinson's disease (PD) and investigated their associations with disease progression.

methodsWe analysed 4018 whole-genome sequencing (WGS) data of blood samples from two independent cohorts. The high-quality non-human reads were extracted for microbial annotation using Kraken 2 and Bracken software with the PlusPF database. To identify PD-associated signatures, we implemented a population-based, cross-cohort filtration process with resequencing validation to minimise noise and putative contaminants.

findingsMicrobial DNA signals, predominantly bacterial, were extensively detected in the sequencing data and were more abundant in individuals with PD than in controls. Across the two cohorts, 126 bacterial species were identified as key signatures, nearly two-thirds of which are known to colonise human body sites. Among these, 19 species exhibited increased abundance and higher prevalence in PD, and could serve as features to discriminate effectively patients from controls. Furthermore, several microbial signatures were correlated with more severe clinical manifestations, such as motor dysfunction and cognitive impairment.

interpretationOur findings supported blood microbial signatures as promising biomarkers in PD, although their origin and functional relevance remain to be validated. The analytical framework may facilitate future investigations into the potential clinical implications of blood microbial signatures in disease contexts.

fundingThis work was supported by Hunan Innovative Province Construction Project, National Natural Science Foundation of China, and Natural Science Foundation of Hunan Province.

Indexed as

MicrobiotaParkinson DiseaseAgedBacteriaBiomarkersCross-Sectional StudiesDisease ProgressionFemaleHumansMaleMetagenomicsMiddle AgedWhole Genome SequencingBiomarkersBlood microbial signaturesMicrobial sequencesNon-human readsParkinson's diseaseWhole-genome sequencing

Identifiers

PMID41864063
PMCPMC13022639

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.