Biomarkers

Microbiota and the gut-brain-axis: Implications for new therapeutic design in the CNS

The recent revelation that the gut microbiome, home to approximately 100 trillion microorganisms, is implicated in the development of both health and disease has spurred an exponential increase in interdisciplinary research involving gut microbiology. In all this hype, there is a need to better understand and contextualize the emerging evidence for the role of the gut microbiota in […]

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Prodromal Parkinson’s disease: hype or hope for disease-modification trials?

The ultimate goal in Parkinson’s disease (PD) research remains the identification of treatments that are capable of slowing or even halting the progression of the disease. The failure of numerous past disease-modification trials in PD has been attributed to a variety of factors related not only to choosing wrong interventions, but also to using inadequate

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Deciphering the prion-like behavior of pathogenic protein aggregates in neurodegenerative diseases

Neurodegenerative diseases are hitherto classified based on their core clinical features, the anatomical distribution of neurodegeneration, and the cell populations mainly affected. On the other hand, the wealth of neuropathological, genetic, molecular and biochemical studies have identified the existence of distinct insoluble protein aggregates in the affected brain regions. These findings have spread the use of a

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A metabolic biomarker predicts Parkinson’s disease at the early stages in patients and animal models

Care management of Parkinson’s disease (PD) patients currently remains symptomatic, mainly because diagnosis relying on the expression of the cardinal motor symptoms is made too late. Earlier detection of PD therefore represents a key step for developing therapies able to delay or slow down its progression. From our translational study, which included 3 animal models

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α-Synuclein in Parkinson’s disease and advances in detection

Parkinson’s disease (PD) is a threatening neurodegenerative disorder that seriously affects patients’ life quality. Substantial evidence links the overexpression and abnormal aggregation of alpha-synuclein (α-Syn) to PD. α-Syn has been identified as a characteristic biomarker of PD, which indicates its great value of diagnosis and designing effective therapeutic strategy. This article systematically summarizes the pathogenic

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Plasma Metabolite Signature Classifies Male LRRK2 Parkinson’s Disease Patients

Parkinson’s disease (PD) is a progressive neurodegenerative disease, causing loss of motor and nonmotor function. Diagnosis is based on clinical symptoms that do not develop until late in the disease progression, at which point the majority of the patients’ dopaminergic neurons are already destroyed. While many PD cases are idiopathic, hereditable genetic risks have been

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Heterogeneous digital biomarker integration out-performs patient self-reports in predicting Parkinson’s disease

Parkinson’s disease (PD) is one of the first diseases where digital biomarkers demonstrated excellent performance in differentiating disease from healthy individuals. However, no study has systematically compared and leveraged multiple types of digital biomarkers to predict PD. Particularly, machine learning works on the fine-motor skills of PD are limited. Here, we developed deep learning methods

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Parkinson’s disease: Are gut microbes involved?

Parkinson’s disease (PD) isa common neurodegenerative disorder characterized by motor and gastrointestinal(GI) deficits. Despite its prevalence, the pathophysiology of PD is not wellunderstood. Recent studies highlight the role of gut microbiota in neurologicaldisorders. In this review, we summarize the potential role of gut microbiota inthe pathophysiology of PD. We first describe how gut microbiota can

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Gut Microbiota and Short Chain Fatty Acids: Implications in
Glucose Homeostasis

: Gut microbiota encompasses a wide variety of commensal microorganisms consisting oftrillions of bacteria, fungi, and viruses. This microbial population coexists in symbiosis with the host,and related metabolites have profound effects on human health. In this respect, gut microbiota playsa pivotal role in the regulation of metabolic, endocrine, and immune functions. Bacterial metabolitesinclude the short

Gut Microbiota and Short Chain Fatty Acids: Implications in
Glucose Homeostasis
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Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson’s disease

Parkinson’s disease (PD) is a common, progressive, and currently incurable neurodegenerative movement disorder. The diagnosis of PD is challenging, especially in the differential diagnosis of parkinsonism and in early PD detection. Due to the advantages of machine learning such as learning complex data patterns and making inferences for individuals, machine-learning techniques have been increasingly applied

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