Clinical diagnosis of Parkinson's disease (PD), multiple system atrophy (MSA) and dementia with Lewy bodies (DLB) is challenging, especially in the early stages. Each disease is associated with distinct conformers of misfolded alpha-synuclein (maS) which form typical protein aggregates in the brain and represent key disease biomarkers. Thus, detection and characterization of intracerebral maS aggregates allow a definite diagnosis. The recent development of ultrasensitive assays enabled the detection of maS and other potential new biomarkers in peripheral tissues, although with several limitations. Here, the investigators propose to combine the expertise of leading and young researchers in the field of neurology, structural and molecular biology, biophysics and machine learning to perform ultrasensitive and multi-omics analyses of olfactory mucosa (OM), blood and urine of PD, MSA and DLB patients for detecting and characterizing key peripheral biomarkers allowing accurate disease recognition.
OM, blood and urine likely contain key specific biomarkers of PD, MSA and DLB detectable with specialized ultrasensitive techniques, perhaps in the early disease stages. Therefore, by combining for the first time the RT-QuIC, Simoa SR-X, ELISA and NTA analyses of OM, blood and urine and by exploiting TEM and solution/solid-state NMR analyses, the investigators will attempt at identifying specific fingerprints of alpha-synucleinopathies usefult to stratify living patients. Supported by statistical analyses and customized machine learning algorithms that will combine clinical (including the analysis of olfactory functions) and experimental data, the investigators project could significantly impact the clinical diagnosis of alpha-synucleinopathies. The investigators project will combine innovative and ultrasensitive diagnostic approaches to evaluate whether OM, blood and urine might serve as non-invasive and easy-to-get samples for biomarkers detection, allowing recognition and stratification of alpha-synucleinopathies. Multidisciplinary collaboration between researchers with specific and complementary skills is required to achieve the goals of the project and to have an impact on future scientific use, clinical applications and wellbeing of patients suffering from these diseases. The investigators project will combine cutting-edge technologies to improve the power of multidimensional biomarker patterns for the clinical diagnosis of PD, MSA and DLB by using easily and periodically collectible tissues. In particular, the investigators will determine unique insights into several key aspects of alpha-synucleinopathies by assessing whether: (1) the OM, blood and urine of PD, MSA and DLB patients contain peripheral maS exploitable to improve the patiens clinical diagnosis/recognition; (2) the peripheral distribution of maS in OM, blood and urine differs between diseases or even among tissues collected from the same patient; (3) the biochemical, morphological and structural features of the RT-QuIC generated aggregates enable discrimination of these diseases; (4) the levels of some key proteins (e.g. NfL, alpha-synuclein, synapsin-3) or structures (e.g. EVs), known to be altered in the blood, are also modified in the OM or urine and allow disease recognition, especially when analyzed in combination with the other ultrasensitive assays; (5) the olfactory impairment can be exploited as indicator of evolving alpha-synucleinopathy and whether it correlates with maS accumulation in OM. The investigators research is transformative and rapidly translatable into clinical practice. The possibility to accurately identify PD, MSA and DLB will bring important advancements in patient selection for emerging pharmacological treatments and clinical trials (better care for people). In addition, the possibility to periodically collect OM, blood and urine samples could consent to monitor disease progression and to evaluate the therapeutic effects in patients under pharmacological treatments. The Investigators findings could also contribute to further investigating whether PD, MSA and DLB are caused by distinct conformers of maS and verify if these latter possess differential tropism for peripheral tissues, eventually unveiling different molecular pathways involved in their pathogenesis. Finally, the investigators approach could have a major impact on counseling and prevention strategies for patients in the prodromal stages of alpha-synucleinopathies, representing a key goal on the path to disease-modifying and neuroprotective therapies before full-blown phenotypes have manifested.
Study Type
OBSERVATIONAL
Enrollment
180
Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP)
Sesto Fiorentino, FI, Italy
RECRUITINGIRCCS Centro San Giovanni di Dio
Brescia, Italy
RECRUITINGFondazione IRCCS Istituto Neurologico Carlo Besta
Milan, Italy
RECRUITINGIdentify a predictive model for the diagnosis of PD, MSA and DLB
To identify a predictive model for the diagnosis of PD, MSA and DLB based on the integration of: * Demographic and clinical: sex, age, comorbidities, disease duration and severity, current medications, cognitive status, the presence of bradykinesia, rigidity, tremors, orthostatic hypotension, autonomic failure, parkinsonism, visual hallucinations, cerebellar syndrome, dementia, rapid eye movement sleep behavior disorder; * Instrumental data: MRI, dopamine-transporter single-photon emission computerized tomography (DAT-SPECT), iodine-131-meta-iodobenzylguanidine (MIBG), fluorodeoxyglucose positron emission tomography (FDG-PET); * Results obtained from the biochemical, structural and RT-QuIC analyses of olfactory mucosa, blood and urine samples (gathered in detailed in the secondary outcomes measures paragraph).
Time frame: 3 years
Analysis of olfactory functions.
To evaluate whether PD, DLB and MSA are characterized by different olfactory dysfunctions and if this can be exploited to discriminate the pathologies. Subjects will undergo olfactory evaluation by UPSIT test and divided in Normosmic, Hyposmic and Anosmic.
Time frame: 12 months
Evaluation of RT-QuIC accuracy in detecting maS in OM, blood- and urine-derived EVs
To study the distribution of maS in different peripheral tissues (urine, blood and olfactory mucosa) collected from the same patient with a clinical diagnosis of PD, MSA and DLB, by RT-QuIC.
Time frame: 21 months
Ultrasensitive detection and measurement of known or potential new biomarkers in OM, blood and urine of enrolled patients by Simoa SR-X.
To analyze if the levels of 181-p-tau (pg/mL), 231-p-tau (pg/mL) and neurofilament light chains (NfL, pg/mL) are altered in the biological samples analysed (urine, blood and OM) compared to subjects with non-neurodegenerative pathology (HS) and if these values differ in such a way as to discriminate the pathologies (PD, MSA and DLB). The assessment of these components will be pursued using Simoa SX-R.
Time frame: 18 months
Ultrasensitive detection and measurement of known or potential new biomarkers in OM, blood and urine of enrolled patients by ELISA.
To analyze if the levels of alpha-synuclein (pg/mL) and synapsin-III (pg/mL) are altered in the biological samples analysed (urine, blood and OM) compared to subjects with non-neurodegenerative pathology (HS) and if these values differ in such a way as to discriminate the pathologies (PD, MSA and DLB). These key proteins will be evaluated by ELISA.
Time frame: 18 months
NTA Nano-Sight NS300 analysis of concentration and size of EVs circulating in blood and urine.
To investigate whether the concentration (particles/mL and size distribution (nm)) of circulating EVs and the size features of rec-aS aggregates differ among PD, MSA, DLB patients, the other samples (b-EVs, u-EVs and rec-aS aggregates) will undergo NTA analysis.
Time frame: 24 months
Biochemical, morphological and structural characterization of selected RT-QuIC end products by Western blot and dot blot solution NMR and solid-state NMR analysis
To study if the RT-QuIC reaction products acquire biochemical (Western blot, Dot blot, densitometric quantitation), morphological (TEM, nm) and structural (protein NMR, spectra) characteristics useful to discriminate PD, DLB and MSA or different phenotypes of the same disease. It is known that there is a clinical and neuropathological heterogeneity among these diseases and this can be associated with the presence of different aberrant conformers of maS. Through in-depth analyses of the RT-QuIC reaction products we will evaluate whether these differences are useful to obtain patient stratification. .
Time frame: 21 months
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