15 research outputs found

    Analyses of peripheral blood dendritic cells and magnetic resonance spectroscopy support dysfunctional neuro‐immune crosstalk in Tourette syndrome

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    Background Evidence supports that neurodevelopmental diseases, such as Tourette syndrome (TS), may involve dysfunctional neural‐immune crosstalk. This could lead to altered brain maturation and differences in immune and stress responses. Dendritic cells (DCs) play a major role in immunity as professional antigen‐presenting cells; changes in their frequency have been observed in several autoimmune conditions. Methods In 18 TS patients (15 on stable pharmacological treatment, three unmedicated) and 18 age‐matched healthy volunteers (HVs), we explored circulating blood‐derived DCs and their relationship with clinical variables and brain metabolites, measured via proton magnetic resonance spectroscopy (1H‐MRS). DC subsets, including plasmacytoid and myeloid type 1 and 2 dendritic cells (MDC1, MDC2), were studied with flow cytometry. 1H‐MRS was used to measure total choline, glutamate plus glutamine, total creatine (tCr), and total N‐acetylaspartate and N‐acetylaspartyl‐glutamate levels in frontal white matter (FWM) and the putamen. Results We did not observe differences in absolute concentrations of DC subsets or brain inflammatory metabolites between patients and HVs. However, TS patients manifesting anxiety showed a significant increase in MDC1s compared to TS patients without anxiety (p = 0.01). We also found a strong negative correlation between MDC1 frequency and tCr in the FWM of patients with TS (p = 0.0015), but not of HVs. Conclusion Elevated frequencies of the MDC1 subset in TS patients manifesting anxiety may reflect a proinflammatory status, potentially facilitating altered neuro‐immune crosstalk. Furthermore, the strong inverse correlation between brain tCr levels and MDC1 subset frequency in TS patients suggests a potential association between proinflammatory status and metabolic changes in sensitive brain regions

    Gut Microbiota and Metabolome Alterations Associated with Parkinson's Disease.

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    Parkinson's disease is a neurodegenerative disorder characterized by the accumulation of intracellular aggregates of misfolded alpha-synuclein along the cerebral axis. Several studies report the association between intestinal dysbiosis and Parkinson's disease, although a cause-effect relationship remains to be established. Herein, the gut microbiota composition of 64 Italian patients with Parkinson's disease and 51 controls was determined using a next-generation sequencing approach. A real metagenomics shape based on gas chromatography-mass spectrometry was also investigated. The most significant changes within the Parkinson's disease group highlighted a reduction in bacterial taxa, which are linked to anti-inflammatory/neuroprotective effects, particularly in the Lachnospiraceae family and key members, such as Butyrivibrio, Pseudobutyrivibrio, Coprococcus, and Blautia The direct evaluation of fecal metabolites revealed changes in several classes of metabolites. Changes were seen in lipids (linoleic acid, oleic acid, succinic acid, and sebacic acid), vitamins (pantothenic acid and nicotinic acid), amino acids (isoleucine, leucine, phenylalanine, glutamic acid, and pyroglutamic acid) and other organic compounds (cadaverine, ethanolamine, and hydroxy propionic acid). Most modified metabolites strongly correlated with the abundance of members belonging to the Lachnospiraceae family, suggesting that these gut bacteria correlate with altered metabolism rates in Parkinson's disease.IMPORTANCE To our knowledge, this is one of the few studies thus far that correlates the composition of the gut microbiota with the direct analysis of fecal metabolites in patients with Parkinson's disease. Overall, our data highlight microbiota modifications correlated with numerous fecal metabolites. This suggests that Parkinson's disease is associated with gut dysregulation that involves a synergistic relationship between gut microbes and several bacterial metabolites favoring altered homeostasis. Interestingly, a reduction of short-chain fatty acid (SCFA)-producing bacteria influenced the shape of the metabolomics profile, affecting several metabolites with potential protective effects in the Parkinson group. On the other hand, the extensive impact that intestinal dysbiosis has at the level of numerous metabolic pathways could encourage the identification of specific biomarkers for the diagnosis and treatment of Parkinson's disease, also in light of the effect that specific drugs have on the composition of the intestinal microbiota

    Odor identification performance in idiopathic Parkinson’s disease is associated with gender and the genetic variability of the olfactory binding protein

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    Deficits in olfaction are among the most frequent non-motor symptoms in Parkinson’s disease (PD) and can be detected early compared with motor symptoms.The reason for the early onset, as well as the mechanism involved remains unknown. We aimed to characterize the olfactory performance of patients with PD and age-matched healthy control (HC) participants in association with gender and a specific polymorphism in the odorant-binding protein IIa (OBPIIa) gene, which plays a crucial role in the perception of odors. The olfactory performance was assessed using the odor identification part of the Sniffin’ Sticks test in 249 participants (patients with PD: n = 131 and HC participants: n = 118). All participants were genotyped for the rs2590498 polymorphism of the OBPIIa gene, whose major allele A is associated with a higher retronasal perception than the minor allele G. A higher number of men with PD than women with PD exhibited hyposmia. Importantly, OBPIIa gene polymorphism showed an effect on PD-related olfactory deficits only in women. Women with PD carrying two sensitive alleles (AA) showed a better olfactory performance than women with PD with at least one insensitive allele (G); the olfactory scores of the AA genotype women with PD were not different from those of HC participants. In conclusion, our results confirmed a sex effect on the reduced olfactory performance of patients with PD and identified the OBPIIa locus, which may provide a mechanism to determine the risk factor for olfactory deficits in women with PD at the molecular level

    Gut microbiota and metabolome distinctive features in Parkinson disease: Focus on levodopa and levodopa-carbidopa intrajejunal gel

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    Background and purpose: Recent data suggest that imbalances in the composition of the gut microbiota (GM) could exacerbate the progression of Parkinson disease (PD). The effects of levodopa (LD) have been poorly assessed, and those of LD-carbidopa intestinal gel (LCIG) have not been evaluated so far. The aim of this study was to identify the effect of LD and LCIG, in particular, on the GM and metabolome. Methods: Fecal DNA samples from 107 patients with a clinical diagnosis of PD were analyzed by next-generation sequencing of the V3 and V4 regions of the 16S rRNA gene. PD patients were classified in different groups: patients on LCIG (LCIG group, n = 38) and on LD (LD group, n = 46). We also included a group of patients (n = 23) without antiparkinsonian medicaments (NaĂŻve group). Fecal metabolic extracts were evaluated by gas chromatography mass spectrometry. Results: The multivariate analysis showed a significantly higher abundance in the LCIG group of Enterobacteriaceae, Escherichia, and Serratia compared to the LD group. Compared to the NaĂŻve group, the univariate analysis showed a reduction of Blautia and Lachnospirae in the LD group. Moreover, an increase of Proteobacteria, Enterobacteriaceae, and a reduction of Firmicutes, Lachnospiraceae, and Blautia was found in the LCIG group. No significant difference was found in the multivariate analysis of these comparisons. The LD group and LCIG group were associated with a metabolic profile linked to gut inflammation. Conclusions: Our results suggest that LD, and mostly LCIG, might significantly influence the microbiota composition and host/bacteria metabolism, acting as stressors in precipitating a specific inflammatory intestinal microenvironment, potentially related to the PD state and progression

    Gut microbiota and metabolome distinctive features in parkinson disease: Focus on levodopa and levodopa carbidopa intrajejunal gel.

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    BACKGROUND: Recent data suggest that imbalances in the composition of the gut microbiome (GM) could exacerbate the progression of Parkinson's Disease (PD). The effect of Levodopa (LD) has been poorly assessed and those of LD-carbidopa intestinal gel (LCIG) have not been evaluated so far. The aim of this study was to identify the effect of LD and, in particular, LCIG on GM and metabolome. METHODS: Faecal DNA samples from 107 patients with clinical diagnosis of PD were analyzed by next-generation-sequencing of V3 and V4 regions of the 16S rRNA gene. PD patients were classified in different groups: patients on LCIG (LCIG-Group) (n= 38) and on LD (LD-Group) (n= 46). We also included a group of patients (n = 23) without antiparkinsonian medicaments (NaĂŻve-Group). Faecal metabolic extracts were evaluated by Gas Chromatography Mass Spectrometry (GC-MS). RESULTS: The multivariate analysis showed a significant higher abundance in the LCIG-Group of Enterobacteriaceae, Escherichia and Serratia compared to LD-Group. Compared to NaĂŻve-Group, the univariate analysis showed a reduction of Blautia, Lachnospirae in LD-Group. Moreover, an increase of Proteobacteria, Enterobacteriaceae and a reduction of Firmicutes, Lachnospiraceae and Blautia was found in the LCIG- Group. No significant difference was found in the multivariate analysis of these comparisons. The LD-Group and LCIG-Group were associated to a metabolic profile linked to gut inflammation. CONCLUSION: Our results suggest that LD and mostly LCIG might significantly influence the microbiota composition and host/bacteria metabolism acting as stressors in precipitating a specific inflammatory intestinal microenviroment, potentially related to the PD state and progression

    GBA-Related Parkinson's Disease: Dissection of Genotype–Phenotype Correlates in a Large Italian Cohort

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    Background: Variants in GBA are the most common genetic risk factor for Parkinson's disease (PD). The impact of different variants on the PD clinical spectrum is still unclear. Objectives: We determined the frequency of GBA-related PD in Italy and correlated GBA variants with motor and nonmotor features and their occurrence over time. Methods: Sanger sequencing of the whole GBA gene was performed. Variants were classified as mild, severe, complex, and risk. ÎČ-glucocerebrosidase activity was measured. The Kaplan-Meier method and Cox proportional hazard regression models were performed. Results: Among 874 patients with PD, 36 variants were detected in 14.3%, including 20.4% early onset. Patients with GBA-PD had earlier and more frequent occurrence of several nonmotor symptoms. Patients with severe and complex GBA-PD had the highest burden of symptoms and a higher risk of hallucinations and cognitive impairment. Complex GBA-PD had the lowest ÎČ-glucocerebrosidase activity. Conclusions: GBA-PD is highly prevalent in Italy. Different types of mutations underlie distinct phenotypic profiles. © 2020 International Parkinson and Movement Disorder Society
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