Despite the improvements in life expectancy, neurodegenerative diseases (NDGs) havebecome the most dreaded disorders of older people. Aged brains show characteristicchanges that are linked to neurodegeneration raising the question of whether thesehallmarks represent the harbingers of NDGs. Lifestyle factors including, in particularphysical exercise, have given particular attention to factors associated to movementissue as ones of the major factors in modulating the risk of developing NDGs, emphasizingthe interest in the muscle-brain axis. Indeed, one of the crucial systems severelyaffected in several neuromuscular diseases is the loss of effective connection betweenmuscle and nerve, and the neuromuscular junction (NMJ) represents the critical region atthe level of which the two entities communicate.Even if controversy exists on whether pathological events beginning at the NMJ precede orfollow loss of motor units, some recent data highlight as NGDs (e.g. Amyotrophic LateralSclerosis, Alzheimer's Disease, and Parkinson's Disease) and Aging share some commonpathologic features such as the loss of fast-twich fiber, a decreased number of synapticvesicles and sarcopenia giving evidence supports the notion that NMJ dismantlement canoccur independently from motor neuron degeneration and may represent an early pathogenicsignature of muscle-nerve communication defects.The M-Brain project is an observational, analytical case-control study that will apply anew approach to interpret data underling the NMJ dismantlement in NDGs patients bycomparing their clinical and biological information with data obtained from people whohave had a so called "good aging" and those who have had a "bad aging".The study will collect data useful to identify potential predisposing or risk factors forthe subsequent development of a NDGs or able to predict the phenotype traiectories ofselected pathologies with differerent movement levels. The combination of a muscular andneurological phenotyping and a biological characterization combining biomarkers, miRNAand extracellular vesicle (EV) assessments will allow to better identify the determinantsof muscle-brain cross-talk that can then be used as potential indicators for thedefinition of critical morphological and functional components involved in aging and someNGDs. The project then will aim to identify phenotyope trajectories of patients givingparticular attention to the brain-muscle axis and movement issues in order to provideinformation useful for future clinical strategies able to minimaze risk/predisponentFactors.
Not Provided
Inclusion Criteria:
for Good aging group:
- Subjects aged 60 years or older
- Frailty Index below the pathological cut-off (>0.25)
- Absence of general cognitive impairment (MMSE > 24 points)
- Absence of a diagnosis of sarcopenia
for Bad aging group:
- Patients aged over 60 years
- Exclusive presence of one of the following diagnoses:
1. Definite, probable, or probable laboratory-supported Amyotrophic Lateral
Sclerosis (ALS), either sporadic or familial, according to the revised El
Escorial Criteria for ALS diagnosis.
2. Parkinson's disease (PD) according to the MDS Clinical Diagnostic Criteria for
Parkinson's Disease (Postuma et al., Mov Disord., 2015 Oct; 30(12): 1591-1601).
3. Alzheimer's disease (AD), possible or probable, according to international
diagnostic guidelines.
4. Diagnosis of severe acquired brain injury according to the Italian Guidelines
for the Care of Patients in Vegetative State and Minimally Conscious State 2011
(approved by the Unified Conference on May 5, 2011 - Ministry of Health,
Italy), with the presence of Sarcopenia.
5. Presence of Mild Cognitive Impairment (MCI), subjective memory complaint, or
deficit in a single cognitive domain, according to international criteria and
in absence of established neurological diseases and sarcopenia.
6. Presence of Sarcopenia as defined by the EWGSOP2 Sarcopenia Consensus, in the
absence of cognitive deficits and established neurological diseases.
Exclusion Criteria:
- Inability to provide informed consent.
- Presence of severe and/or acute comorbidities (e.g., uncontrolled diabetes, heart
failure, or a diagnosis of oncological disease), as determined by the research team.
- Evidence of other previous neurological or psychiatric disorders involving the
cognitive domain.
- Uncontrolled or complicated systemic diseases or history of traumatic brain injury.
- For subjects with Alzheimer's disease (AD), Parkinson's disease (PD), and
Amyotrophic Lateral Sclerosis (ALS), individuals with a history of epilepsy will
also be excluded.
Universita degli Studi di Catania
Catania, Italy
IRCCS Centro Neurolesi Bonino Pulejo
Messina, Italy
Istituti Clinici Scientifici Maugeri IRCCS, Milan Institute
Milan, Italy
University of Roma La Sapienza
Roma, Italy
Christian Lunetta, MD
+39 0250725266
christian.lunetta@icsmaugeri.it
Davide Sattin, PsyD, PhD
+390250725246
davide.sattin@icsmaugeri.it
Not Provided