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Structural changes of gut microbiota in Parkinson’s disease and its correlation with clinical features Original paper

Researched by:

  • Dr. Umar ID
    Dr. Umar

    User avatarClinical Pharmacist and Clinical Pharmacy Master’s candidate focused on antibiotic stewardship, AI-driven pharmacy practice, and research that strengthens safe and effective medication use. Experience spans digital health research with Bloomsbury Health (London), pharmacovigilance in patient support programs, and behavioral approaches to mental health care. Published work includes studies on antibiotic use and awareness, AI applications in medicine, postpartum depression management, and patient safety reporting. Developer of an AI-based clinical decision support system designed to enhance antimicrobial stewardship and optimize therapeutic outcomes.

    Read More

November 17, 2025

Researched by:

  • Dr. Umar ID
    Dr. Umar

    User avatarClinical Pharmacist and Clinical Pharmacy Master’s candidate focused on antibiotic stewardship, AI-driven pharmacy practice, and research that strengthens safe and effective medication use. Experience spans digital health research with Bloomsbury Health (London), pharmacovigilance in patient support programs, and behavioral approaches to mental health care. Published work includes studies on antibiotic use and awareness, AI applications in medicine, postpartum depression management, and patient safety reporting. Developer of an AI-based clinical decision support system designed to enhance antimicrobial stewardship and optimize therapeutic outcomes.

    Read More

Last Updated: 2017-01-01

Microbiome Signatures identifies and validates condition-specific microbiome shifts and interventions to accelerate clinical translation. Our multidisciplinary team supports clinicians, researchers, and innovators in turning microbiome science into actionable medicine.

Karen Pendergrass

Karen Pendergrass is a microbiome researcher specializing in microbiome-targeted interventions (MBTIs). She systematically analyzes scientific literature to identify microbial patterns, develop hypotheses, and validate interventions. As the founder of the Microbiome Signatures Database, she bridges microbiome research with clinical practice. In 2012, based on her own investigative research, she became the first documented case of FMT for Celiac Disease—four years before the first published case study.

Location
China
Sample Site
Feces
Species
Homo sapiens

What was studied?

The study investigated gut microbiota in Parkinson’s disease, examining structural differences between patients with Parkinson’s disease (PD) and healthy controls while correlating microbial patterns with clinical features. Using 16S rRNA sequencing, the researchers characterized fecal bacterial communities and assessed how microbial shifts aligned with PD severity, duration, and non-motor symptoms. This work explored whether reductions in beneficial short-chain–fatty-acid–producing taxa and increases in potential pathobionts represented a biologically meaningful microbial signature of PD, potentially shaping inflammation, gut–brain interactions, and neurodegenerative processes. Findings were interpreted in the context of α-synuclein pathology and gastrointestinal symptoms that often precede motor manifestations.

Who was studied?

The study included 24 PD patients and 14 age- and gender-matched healthy controls recruited in Beijing. PD diagnosis followed the UK Brain Bank Criteria, and subjects were excluded if recent antibiotic or probiotic use, gastrointestinal disease, or unstable medical conditions were present. Nearly all PD participants were on antiparkinsonian medication. Clinical data included Unified Parkinson Disease Rating Scale (UPDRS), Hoehn & Yahr staging, constipation scoring, and ratings for anxiety, depression, and non-motor symptoms. Subgroup analyses compared mild PD (Hoehn & Yahr 1–2.5) with severe PD (3–5), allowing assessment of stage-dependent microbial patterns.

Most important findings

Across phylum, family, and genus levels, PD microbiota showed distinct structural deviations from controls. A central pattern was the loss of putative cellulose-degrading, short-chain–fatty-acid–producing genera—Faecalibacterium, Blautia, and Ruminococcus—all significantly reduced in PD. Conversely, potential pathobionts—Escherichia-Shigella, Proteus, Streptococcus, and Enterococcus—were enriched, suggesting increased inflammatory and neurotoxin-producing capacity. At the phylum level, PD subjects exhibited reduced Bacteroidetes and elevated Actinobacteria and Proteobacteria.

Disease stage analyses showed a stepwise decline in Faecalibacterium from controls to mild PD to severe PD (5.14% → 3.17% → 1.22%), while Megasphaera rose progressively, hinting at dynamic microbial remodeling with disease progression. Correlation matrices and scatter plots demonstrated robust associations: UPDRS scores and PD duration positively correlated with Enterococcus, Proteus, and Escherichia-Shigella, and negatively correlated with Blautia, Ruminococcus, and Faecalibacterium. These relationships were independent of age, BMI, and gender.

Key implications

The findings suggest a microbiome signature in PD characterized by erosion of SCFA-producing taxa and expansion of endotoxin- and neurotoxin-producing species. Reduced SCFA production may compromise gut barrier integrity, amplify inflammation, and potentially enhance α-synuclein pathology in the enteric nervous system. Increased pathobionts may contribute to systemic inflammatory signaling relevant to neurodegeneration. These microbial shifts correlate with disease severity, reinforcing their potential as biomarkers. The results encourage future mechanistic studies, metagenomic functional profiling, and exploration of microbiome-targeted interventions such as probiotics or fecal microbiota transplantation.

Citation

Li W, Wu X, Hu X, et al. Structural changes of gut microbiota in Parkinson’s disease and its correlation with clinical features.Sci China Life Sci. 2017;60. doi:10.1007/s11427-016-9001-4

Short-chain Fatty Acids (SCFAs)

Short-chain fatty acids are microbially derived metabolites that regulate epithelial integrity, immune signaling, and microbial ecology. Their production patterns and mechanistic roles provide essential functional markers within microbiome signatures and support the interpretation of MBTIs, MMAs, and systems-level microbial shifts across clinical conditions.

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