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Mid-Term Registration Ending Soon!

Join the 11th Edition Aging & Gerontology Conference 2026

📍Dubai, UAE |📅Apr 20–21, 2026

🗓️Mid-Term Registration Ends: Jan 30, 2026

Register now: agingcongress.com/edition2//re...

#AgingResearch #Gerontology #Longevity #NeurodegenerativeDisorders

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Pharmacological Modulation of Oxidative Stress, Neuroinflammation, and Synaptic Dysfunction for Precision Neuroprotection in Neurodegenerative Disorders: A Narrative Review - Premier Science BDNF, HO-1 signaling, Multifunctional antioxidant flavonoids, NLRP3 inflammasome inhibition, Nrf2, Precision multitarget neuroprotection

doi.org/10.70389/PJS...

#oxidativestress #neuroinflammation #synapticdysfunction #neuroprotection #neurodegenerative #neurodegenerativedisorders

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Midlife Platelet Test Flags Early Alzheimer Risk Signals All the science news you can handle in a single feed

Midlife Platelet Test Flags Early Alzheimer Risk Signals #Science #HealthandMedicine #Neurology #Alzheimer'sDisease #HealthScreening #NeurodegenerativeDisorders

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Mechanism of conductance control and neurosteroid binding in NMDA receptors - Nature Ion-channel conductance levels are controlled by the bending patterns of pore-forming transmembrane helices in the heterotetrameric neuronal channel GluN1a-2B N-methyl-D-aspartate receptor.

Research by Hiro Furukawa, et al. reveals how NMDA receptors control learning, memory & neuron survival. Discovery could lead to therapies that precisely modulate brain signaling to protect against #Alzheimers #Stroke & other #NeurodegenerativeDisorders. @nature.com 👉 www.nature.com/articles/s41...

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TODAY | 7/28, the #PasinettiLab is proud to be taking part
@alzassociation.bsky.social International Conference! CHECK OUT👉"Role of gut microbiota-derived metabolites in #NeurodegenerativeDisorders involving protein misfolding & C9orf72 expansion assoc w/ #Dementia". Poster # 107287 👉 aaic.alz.org

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Senator Padilla declares May 23 2025 GM 1 Gangliosidosis Awareness Day Senate concurrent resolution 33 establishes May 23 2025 as GM 1 Awareness Day.

California's Senate shines a light on rare diseases, declaring May 23, 2025, GM1 Gangliosidosis Awareness Day to advocate for faster diagnoses and vital research funding.

Click to read more!

#CA #CitizenPortal #CommunitySupport #RareDiseases #NeurodegenerativeDisorders

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Natural Mushroom Compound Shows Promise in Treating Parkinson’s Symptoms A pilot study by UCSF reveals unexpected results, with psilocybin therapy leading to significant improvements in mood, cognitive function, and motor symptoms. Psilocybin, a naturally occurring compound...

Natural Mushroom Compound Shows Promise in Treating Parkinson’s Symptoms #Science #HealthandMedicine #Neurology #ParkinsonsDisease #NaturalMedicine #NeurodegenerativeDisorders

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Sleep loss alters metabolism across the organism.
Sleep loss–induced metabolic alterations in purinergic signaling (purple), glucose metabolism (green), lipid oxidation (blue), and cell phenotypes (orange) are apparent throughout the central nervous system, peripheral tissues, and blood plasma in humans and other model systems. These changes reduce the amount of energy available to support anabolic processes—an effect that is most pronounced in highly metabolically active cells such as myocytes, hepatocytes, adipocytes, and brain cells.CREDIT: A. MASTIN/SCIENCE SIGNALING

Sleep loss alters metabolism across the organism. Sleep loss–induced metabolic alterations in purinergic signaling (purple), glucose metabolism (green), lipid oxidation (blue), and cell phenotypes (orange) are apparent throughout the central nervous system, peripheral tissues, and blood plasma in humans and other model systems. These changes reduce the amount of energy available to support anabolic processes—an effect that is most pronounced in highly metabolically active cells such as myocytes, hepatocytes, adipocytes, and brain cells.CREDIT: A. MASTIN/SCIENCE SIGNALING

Molecular changes at the tripartite synapse after sleep loss.
Increased neuronal oxidative stress promotes lipid droplet accumulation in neighboring glia, which then catabolize these droplets using β-oxidation. In addition, neuronal ATP generation efficiency decreases, marked by increased expression of mitochondrial electron transport chain genes simultaneously with uncoupling proteins and increased phosphorylation of AMPK (blue). Increased cellular activity during sleep loss leads to increased glutamate release, which up-regulates activity and gene expression related to the ANLS (green). The effects of sleep loss on glycogen storage are unclear. Sleep loss leads to an increase in extracellular adenosine, released from astrocytes, which binds to A1Rs to decrease expression of synaptic plasticity genes through Gαi-cAMP-PKA signaling (purple).CREDIT: A. MASTIN/SCIENCE SIGNALING

Molecular changes at the tripartite synapse after sleep loss. Increased neuronal oxidative stress promotes lipid droplet accumulation in neighboring glia, which then catabolize these droplets using β-oxidation. In addition, neuronal ATP generation efficiency decreases, marked by increased expression of mitochondrial electron transport chain genes simultaneously with uncoupling proteins and increased phosphorylation of AMPK (blue). Increased cellular activity during sleep loss leads to increased glutamate release, which up-regulates activity and gene expression related to the ANLS (green). The effects of sleep loss on glycogen storage are unclear. Sleep loss leads to an increase in extracellular adenosine, released from astrocytes, which binds to A1Rs to decrease expression of synaptic plasticity genes through Gαi-cAMP-PKA signaling (purple).CREDIT: A. MASTIN/SCIENCE SIGNALING

#medsky🧪 #immunosky #neurosky #publichealth An emerging body of research implicating #SleepLoss as a #metabolicdisorder and discuss its impact on the metabolism of neurons and parallels to #neurodegenerativedisorders.

www.science.org/doi/10.1126/... @science.org

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Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study Background: Parkinson disease (PD) is a progressive neurodegenerative disorder that affects motor coordination, leading to gait abnormalities. Early detection of PD is crucial for effective management and treatment. Traditional diagnostic methods often require invasive procedures or are performed when the disease has significantly progressed. Therefore, there is a need for noninvasive techniques that can identify early motor symptoms, particularly those related to gait. Objective: The study aimed to develop a noninvasive approach for the early detection of PD by analyzing model-based gait features. The primary focus is on identifying subtle gait abnormalities associated with PD using kinematic characteristics. Methods: Data were collected through controlled video recordings of participants performing the timed up and go (TUG) assessment, with particular emphasis on the turning phase. The kinematic features analyzed include shoulder distance, step length, stride length, knee and hip angles, leg and arm symmetry, and trunk angles. These features were processed using advanced filtering techniques and analyzed through machine learning methods to distinguish between normal and PD-affected gait patterns. Results: The analysis of kinematic features during the turning phase of the TUG assessment revealed that individuals with PD exhibited subtle gait abnormalities, such as freezing of gait, reduced step length, and asymmetrical movements. The model-based features proved effective in differentiating between normal and PD-affected gait, demonstrating the potential of this approach in early detection. Conclusions: This study presents a promising noninvasive method for the early detection of PD by analyzing specific gait features during the turning phase of the TUG assessment. The findings suggest that this approach could serve as a sensitive and accurate tool for diagnosing and monitoring PD, potentially leading to earlier intervention and improved patient outcomes.

New in JMIR Aging: Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study #ParkinsonsDisease #GaitAnalysis #NeurodegenerativeDisorders #EarlyDetection #MotorCoordination

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Patient Acceptability and Technical Reliability of Wearable Devices Used for Monitoring People With Parkinson Disease: Survey Study Background: Parkinson’s disease is a progressive neurodegenerative disorder with complex motor and non-motor symptoms. To assess these, clinical assessments are completed, which provide a subjective snapshot of a person’s experience. Monitoring Parkinson’s disease using wearable devices can provide continuous and objective data and capture information on movement patterns in daily life. Objective: To assess patient acceptability and technical reliability of two commonly used wearable devices. Methods: Participants in a #feasibility study testing a self-management toolkit (PD-Care) optionally wore a wearable device for one week and provided quantitative and qualitative feedback about the acceptability of using it. (ActivInsights worn on the wrist and Axivity AX3 worn on the trunk and wrist). The quantitative assessments included questions using a Likert scale from 1 to 5 (with 1 being strongly agree and 5 being strongly disagree) whether i) The device was comfortable to wear; ii) The device was easy to put on; iii) The device was easy to wear; iv) The device was embarrassing to wear; and v) If they would be happy to wear the device for longer than seven days. Results: A total of 22/32 (69%) participants offered the device agreed to wear it. There were no significant differences in the demographic characteristics between the patients who chose to be monitored and those who chose not to be monitored. Acceptance with both devices was generally good. The wrist- and trunk-worn Axivity AX3 devices were less acceptable than the wrist-worn ActivInsights device, as many participants found it to be more uncomfortable (p=0.017 and p=0.001), less easy to wear (p=0.027 and p

JMIR Formative Res: Patient Acceptability and Technical Reliability of Wearable Devices Used for Monitoring People With Parkinson Disease: Survey Study #ParkinsonsDisease #WearableTech #PatientCare #NeurodegenerativeDisorders #HealthTech

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The Role of Mitochondrial Dysfunction in Alzheimer’s Disease | Newswise While Alzheimer’s Disease is traditionally associated with the buildup of plaques, emerging evidence suggests that mitochondrial dysfunction may play a role in the onset and progression of this devast...

The Role of Mitochondrial Dysfunction in Alzheimer’s Disease
www.newswise.com/articles/the...
#mitochondria #NeurodegenerativeDisorders #mitochondrialdysfunction #alzheimers #disease

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3/5 Combined exposure to PM and heat stress (HS) amplifies these adverse effects, highlighting the urgent need for effective public health interventions and policies, especially for the frail aging population at high risk of #NeurodegenerativeDisorders.

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Key point: The etiological approach would be an important dimension of a new NLLOE classification specific to older people, in both diagnostic and prognostic terms.
doi.org/10.1111/epi.... (Open access)

#epilepsy #ILAE #18FFDGPET #cognitiveoutcome #neurodegenerativedisorders

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Neuroscience Unplugged: A Whimsical Journey Through Brain Science!
Neuroscience Unplugged: A Whimsical Journey Through Brain Science! YouTube video by Greenhouse for Mental Health Development

Neuroscience Unplugged: A Whimsical Journey Through Brain Science!
#BrainScience #Neuroscience #NonInvasiveStimulation #TranscranialMagneticStimulation #DeepBrainStimulation #NeurodegenerativeDisorders #SynapticPlasticity #BrainHealth #MindMatters #NeuroscienceAdventure

youtube.com/shorts/XiNg2...

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#MedSky🧪 #Neurosky #publichealth Neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) are biomarkers of neuronal injury measurable in CSF & 🩸. Despite their potential as diagnostic tests for #neurodegenerativedisorders,

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So excited to have finally made it to a FENS-Hertie Winter School in Austria! Arrived to see everyone in post-dinner working group mode. The learning never stops!🥳🧠

#FENSSchool on #proteinaggregation and its consequences in #neurodegenerativedisorders
#Hertie

@lucbuee.bsky.social & Susanne Wegmann

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Disease progression modelling reveals heterogeneity in trajectories of Lewy-type α-synuclein pathology - Nature Communications Lewy body diseases exhibit notable clinical and pathological heterogeneity. Here, the authors found three distinct trajectories of Lewy body pathology that are associated with different clinicopatholo...

#MedSky🧪 #NeuroSky #ImunoSky #publichealth #MicroSky #NeuroCovid Alpha-synucleinopathies are a group of #neurodegenerativedisorders characterized by the abnormal aggregation, accumulation, & spreading of α-syn ( www.nature.com/articles/s41... ; pubs.acs.org/doi/pdf/10.1... ;

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Linkage between SARS-CoV-2 infection and neurodegenerative disorders: Review and current update The emergence of severe acute respiratory syndrome coronavirus (SARS-CoV) in 2002, followed by the Middle East respiratory syndrome coronavirus (MERS-CoV) that causes fatal illness in 2012, has made c...

MedSky🧪 #IDSky #NeuroSky #Neuroimmunology #Neuroinflammation Correlation between #COVID19 & #Neurodegenerativedisorders .Rethink about #NeuroCovid
accscience.com/journal/AN/3...
PDF

api-journal.accscience.com/journal/arti...

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Dorothee Dormann is a specialist in the field of #NeurodegenerativeDisorders and an expert in identifying the molecular processes that underlie conditions such as #AlzheimersDisease. #JGUMagazine: https://www.magazin.uni-mainz.de/12307_ENG_HTML.php @imbmainz #dementia #ALS

📷/©:...

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