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      Association of Fecal and Plasma Levels of Short-Chain Fatty Acids With Gut Microbiota and Clinical Severity in Patients With Parkinson Disease

      research-article
      , MD, , MD, , MSc, , MSc , , PhD, , MD, PhD, , MD, PhD, , PhD, , MD, PhD
      Neurology
      Lippincott Williams & Wilkins

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          Abstract

          Background and Objectives

          Short-chain fatty acids (SCFAs) are gut microbial metabolites that promote the disease process in a rodent model of Parkinson disease (PD), but fecal levels of SCFAs in patients with PD are reduced. Simultaneous assessments of fecal and plasma SCFA levels, and their interrelationships with the PD disease process, are scarce. We aimed to compare fecal and plasma levels of different SCFA subtypes in patients with PD and healthy controls to delineate their interrelations and link to gut microbiota changes and clinical severity of PD.

          Methods

          A cohort of 96 patients with PD and 85 controls were recruited from National Taiwan University Hospital. Fecal and plasma concentrations of SCFAs were measured using chromatography and mass spectrometry. Gut microbiota was analyzed using metagenomic shotgun sequencing. Body mass index and medical comorbidities were evaluated and dietary information was obtained using a food frequency questionnaire. To assess motor and cognitive impairment, we used the Movement Disorder Society–Unified Parkinson's Disease Rating Scale (MDS-UPDRS) and the Mini-Mental Status Examination (MMSE).

          Results

          Compared with controls, patients with PD had lower fecal but higher plasma concentrations of acetate, propionate, and butyrate. After adjustment for age, sex, disease duration, and anti-PD medication dosage, MDS-UPDRS part III motor scores correlated with reduced fecal levels of acetate (ρ = −0.37, p = 0.012), propionate (ρ = −0.32, p = 0.036), and butyrate (ρ = −0.40, p = 0.004) and with increased plasma propionate concentrations (ρ = 0.26, p = 0.042) in patients with PD. MMSE scores negatively correlated with plasma levels of butyrate (ρ = −0.09, p = 0.027) and valerate (ρ = −0.032, p = 0.033) after adjustment for confounders. SCFAs-producing gut bacteria correlated positively with fecal levels of SCFAs in healthy controls but revealed no association in patients with PD. In the PD patient group, the abundance of proinflammatory microbes, such as Clostridiales bacterium NK3B98 and Ruminococcus sp AM07-15, significantly correlated with decreased fecal levels and increased plasma levels of SCFAs, especially propionic acid.

          Discussion

          Reductions in fecal SCFAs but increased plasma SCFAs were observed in patients with PD and corelated to specific gut microbiota changes and the clinical severity of PD.

          Classification of Evidence

          This study provides Class III evidence that gut metabolite SCFAs distinguish between patients with PD and controls and are associated with disease severity in patients with PD.

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          Most cited references50

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          "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

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            From Dietary Fiber to Host Physiology: Short-Chain Fatty Acids as Key Bacterial Metabolites.

            A compelling set of links between the composition of the gut microbiota, the host diet, and host physiology has emerged. Do these links reflect cause-and-effect relationships, and what might be their mechanistic basis? A growing body of work implicates microbially produced metabolites as crucial executors of diet-based microbial influence on the host. Here, we will review data supporting the diverse functional roles carried out by a major class of bacterial metabolites, the short-chain fatty acids (SCFAs). SCFAs can directly activate G-coupled-receptors, inhibit histone deacetylases, and serve as energy substrates. They thus affect various physiological processes and may contribute to health and disease.
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              Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results.

              We present a clinimetric assessment of the Movement Disorder Society (MDS)-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS). The MDS-UDPRS Task Force revised and expanded the UPDRS using recommendations from a published critique. The MDS-UPDRS has four parts, namely, I: Non-motor Experiences of Daily Living; II: Motor Experiences of Daily Living; III: Motor Examination; IV: Motor Complications. Twenty questions are completed by the patient/caregiver. Item-specific instructions and an appendix of complementary additional scales are provided. Movement disorder specialists and study coordinators administered the UPDRS (55 items) and MDS-UPDRS (65 items) to 877 English speaking (78% non-Latino Caucasian) patients with Parkinson's disease from 39 sites. We compared the two scales using correlative techniques and factor analysis. The MDS-UPDRS showed high internal consistency (Cronbach's alpha = 0.79-0.93 across parts) and correlated with the original UPDRS (rho = 0.96). MDS-UPDRS across-part correlations ranged from 0.22 to 0.66. Reliable factor structures for each part were obtained (comparative fit index > 0.90 for each part), which support the use of sum scores for each part in preference to a total score of all parts. The combined clinimetric results of this study support the validity of the MDS-UPDRS for rating PD.
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                Author and article information

                Contributors
                Journal
                Neurology
                Neurology
                neurology
                neur
                NEUROLOGY
                Neurology
                Lippincott Williams & Wilkins (Hagerstown, MD )
                0028-3878
                1526-632X
                22 February 2022
                22 February 2022
                : 98
                : 8
                : e848-e858
                Affiliations
                From the Department of Neurology (S.-J.C., C.-H.L.) and Division of Gastroenterology and Hepatology, Department of Internal Medicine (C.-C.C., J-.M.L., M.-S.W.), College of Medicine, and Department of Pharmacy (C.-H.K.), National Taiwan University Hospital, and Graduate Institute of Clinical Medicine (S.-J.C., C.-C.C.), School of Pharmacy (H.-Y.L., Y.-T.L., C.-H.K.), College of Medicine, and The Metabolomics Core Laboratory, NTU Centers of Genomic and Precision Medicine (C.-H.K.), National Taiwan University, Taipei; Department of Neurology (S.-J.C.), National Taiwan University Hospital Bei-Hu Branch; and Graduate Institute of Biomedical Informatics, College of Medical Science and Technology (Y.-W.W.), Taipei Medical University, Taiwan.
                Author notes
                Correspondence Dr. Kuo kuoch@ 123456ntu.edu.tw or Dr. Lin q93421022@ 123456ntu.edu.tw

                Go to Neurology.org/N for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.

                The Article Processing Charge was funded by National Health Research Institutes (Taiwan).

                Author information
                https://orcid.org/0000-0001-8566-7573
                Article
                NEUROLOGY2021175444
                10.1212/WNL.0000000000013225
                8883514
                34996879
                a9c329a0-a270-4b1c-9978-40ef5391d156
                Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.

                This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND), which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.

                History
                : 28 June 2021
                : 30 November 2021
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