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The impact of intestinal microbiota on weight loss in Parkinson’s disease patients: a pilot study 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: 2020-01-01

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
United Kingdom
Sample Site
Feces
Species
Homo sapiens

What was studied?

This study investigated the relationship between intestinal microbiota and weight loss in Parkinson’s disease, focusing on how gut microbial composition and predicted functional pathways differ between Parkinson’s patients with unintentional weight loss and those with stable weight. Using 16S rRNA gene sequencing, the researchers examined whether distinct microbial signatures or metabolic pathways could help explain the unexplained weight reduction seen in a subset of Parkinson’s patients. The study also applied KEGG-based functional prediction to identify metabolic capacities potentially linked to energy expenditure, lipid metabolism, or inflammation, with the larger goal of determining whether the gut microbiome may play a mechanistic role in Parkinson’s related metabolic changes.

Who was studied?

The study evaluated individuals diagnosed with Parkinson’s disease who were divided into two clinical groups: those experiencing unintended weight loss and those maintaining a steady weight. These patient groups were further compared with age- and sex-matched healthy control subjects to provide a normative baseline for microbial composition. All Parkinson’s participants were clinically characterized, and weight status was determined based on documented changes over time. No specific exclusion criteria for comorbidities or medications are described in the summarized text, though the study design implies careful matching to reduce confounding. The dataset represents a pilot sample rather than a large population cohort, which is relevant when interpreting effect size and generalizability.

Most important findings

The study found that microbial community composition differed substantially between weight-loss Parkinson’s patients and those with stable weight. Patients with weight loss showed enrichment of microbial pathways associated with fatty acid biosynthesis, suggesting a shift toward bacteria capable of generating or modulating lipids in ways that may influence host metabolism. Conversely, those with stable weight showed a stronger association with inflammatory pathways, indicating the presence of taxa capable of promoting or sustaining mucosal inflammation. These differentiated trajectories suggest that the microbiome may contribute to divergent metabolic profiles: some patients exhibit bacterial communities that favor energy expenditure or reduced nutrient harvest, while others harbor taxa linked to inflammation and potentially weight gain or retention. Although specific genera are not listed in the provided text, the findings point toward functional signatures—particularly lipid-related and inflammation-related pathways—which may prove useful for microbiome signature databases.

Key implications

The study suggests that gut microbiota may contribute directly to the metabolic disturbances observed in Parkinson’s disease. Weight loss, often occurring before motor symptoms arise, could partly originate from microbial composition favoring increased energy expenditure or altered fatty acid metabolism. Meanwhile, stable-weight patients may retain weight due to inflammation-associated taxa. These divergent microbial functional signatures could offer targets for therapeutic modulation, from probiotics to dietary strategies, and may aid clinicians in identifying predictive biomarkers of metabolic risk in Parkinson’s disease.

Citation

Del Chierico F, Grassini P, Quagliariello A, Torti M, Russo A, Reddel S, Stocchi F. The Impact of Intestinal Microbiota on Weight Loss in Parkinson’s Disease Patients: A Pilot Study. Future Microbiology. 2020;15(14):1393–1404. doi:10.2217/fmb-2019-0336

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