Showing posts with label Alzheimers Research. Show all posts
Showing posts with label Alzheimers Research. Show all posts

Monday, October 6, 2025

Dendritic Nanotubes Alzheimers Discovery 2025

Dendritic Nanotubes: New Brain Bridges Linked to Early Alzheimer's Clues

Edited by: Fasi Uddin

Neuronal nanotubes play a role in intercellular transport and disease. Credit: Science (2025), DOI: 10.1126/science.adr7403.

Snapshot

Scientists have identified a novel form of microscopic bridge in the braindendritic nanotubes (DNTs)that may help explain how Alzheimer's-related proteins spread between neurons. The discovery, reported in Science, combines advanced imaging, machine learning and computational modelling to suggest DNTs could be an early driver of amyloid-beta accumulation and neurodegeneration.

Neuronal communication and nanotube context

Neurons in the brain communicate through synapsestiny junctions that transmit electrical and chemical signals. In contrast, some non-neuronal cells exchange materials directly using microscopic nanotube bridges. Among these, tunnelling nanotubes (TNTs) are known to facilitate the transfer of substances between certain cell types. While TNTs have been observed in isolated brain neurons, their role and existence within fully developed brain tissue have remained uncertain.

Discovery of Dendritic Nanotubes (DNTs)

A team of researchers has discovered a new kind of nanotube that seems to function as a bridge, transferring materials between dendritesthe branching extensions of neurons. Reported in Science, the study introduces "dendritic nanotubes" (DNTs) and explores their potential link to the build-up of amyloid-beta (Aβ), a peptide associated with Alzheimer's disease.

Imaging and Confirmation

The scientists identified these actin-rich DNTs in both mouse and human brain tissue using advanced superresolution (dSRRF) and electron microscopy. The nanotubes were observed linking dendrites within the cortex and their identity was confirmed through specialized imaging combined with machine learning analysis.

Structural Uniqueness and Dynamics

According to the researchers, machine learning-based classification confirmed that the shape of these nanotubes was unlike any known synaptic structure. "In cultured neurons, we observed these nanotubes forming dynamically and identified a unique internal composition that clearly distinguishes them from other neuronal extensions," the authors explained.

Sealed Architecture and Transport

Unlike the well-documented tunnelling nanotubes (TNTs), these newly discovered dendritic nanotubes (DNTs) behaved quite differently. Their ends were sealed rather than open, preventing tunnelling activity. Despite this, the DNTs still managed to transfer essential materials such as calcium ions and small molecules between neurons.

Experimental Transfer of Amyloid-Beta

The researchers sought to determine whether these dendritic nanotubes (DNTs) could transport amyloid-beta, a protein linked to Alzheimer's disease. By introducing amyloid-beta into neurons within mouse brain slices, they observed that DNTs transferred the peptides to neighbouring cells. When nanotube formation was inhibited, the spread diminished significantly.

Computational Simulations and Timing

Computer simulations revealed that DNT density increased prior to amyloid plaque formation in Alzheimer's model mice, indicating a potential role in teh disease's early stages.

Modelling Links DNTs to Disease Progression

"We discovered that the nanotube network undergoes significant alterations early in Alzheimer's diseasewell before amyloid plaques, its defining feature, begin to form," the authors noted. "Our computational model suggests that excessive nanotube activity may hasten toxic amyloid build-up in certain neurons, linking these structural changes to disease progression."

Future Directions and Implications

Although many questions remain, future studies could uncover further roles these dendritic nanotubes play in healthy and diseased brains. The findings illuminate a potential mechanism by which Alzheimer's pathology spreads, pointing to promising paths for early therapeutic intervention.

Why This Discovery Matters

The discovery of DNTs bridges an important gap between cellular observations and disease dynamics. Scientists have long debated how misfolded proteins such as amyloid-beta traverse neural circuits to seed plaques in distant brain regions. An anatomical conduitpresent before overt plaque formationprovides a feasible route for early propagation, which could help explain the stealthy onset of Alzheimer's symptoms. For readers seeking broader context on neuroscience and imaging advances, see FSNews365.

Diagnostic and Therapeutic Potential

If DNTs prove to be consistent features of early Alzheimer's, they could enable earlier diagnosis through imaging biomarkers or fluid tests indicating altered intercellular transfer. Therapeutically, strategies that reduce excessive nanotube formation or block peptide passage may offer a window to slow progression before neurons are irreversibly lost. Such approaches would complement ongoing trials that target amyloid clearance and tau pathology. For reports and clinical context on Alzheimer's research and translational work, consult Human Health Issues.

Multidisciplinary Methods Power the Finding

The work highlights a growing trend in neuroscience: integrating high-resolution optical imaging, electron microscopy and machine-learning classification to detect and validate subtle brain structures. These methods reduce the risk that findings are imaging artefacts and allow automated recognition of shapes across large datasets. For related interdisciplinary coverage that connects imaging, climate and human health perspectives, see Earth Day Harsh Reality.

Open Questions and Next Steps

Researchers caution that these findings mark the start of a longer research pathway. Key priorities include validating DNT prevalence across brain areas and patient populations, performing live-cell imaging to capture transport dynamics in real time and determining whether interventions that tamper with DNTs alter cognitive decline in animal models. Importantly, scientists must distinguish between normal physiological roles for dendritic contacts and pathological overactivity linked to toxic spread.

Broader Implications for Neurodegenerative Disease

Beyond Alzheimer's, DNTs could be relevant to conditions where protein propagation is implicatedsuch as Parkinson's disease and certain frontotemporal dementias. If nanotube-like bridges facilitate spread more generally, then targeting intercellular conduits could represent a novel, cross-disease therapeutic approach. For public-health and translational perspectives, readers may explore Human Health Issues and interdisciplinary analyses at Earth Day Harsh Realty.

Translating Discovery into Clinical Action

Translational science will require replication of DNT observations in larger human cohorts, biomarker discovery and validation, safety testing of candidate inhibitors and ultimately carefully designed clinical trails. Funding agencies and interdisciplinary consortia will be crucial in moving this discovery from microscopy to medicine. For contextual science coverage and policy discussion, FSNews365 maintains updates on imaging, AI and translational research.

Ethical Considerations and Caution

Modulating intercellular structures in the brain carries risk: DNTs may also play roles in healthy neuronal communication and plasticity. Any therapy targeting these bridges must avoid disrupting normal brain function. Ethical review, staged preclinical testing and broad stakeholder engagement will be essential steps as the field progresses.

Conclusion

This study adds a new layer to our understanding of how pathological proteins might move through the brain. Dendritic nanotubes are a promising anatomical concept that could explain early protein spread, and they open avenues for diagnostics and interventions targeted at a stage when therapies are most likely to succeed. Continued collaboration across imaging, computational and clinical teams will be crucial to translate this discovery into patient-care gains.

Further Reading & Resources

Source

Original Science report (Journal).

FSNews365 - imaging and neuroscience coverage: https://fsnews365.blogspot.com

Earth Day Harsh Reality - Interdisciplinary science: https://earthdayharshreality.blogspot.com

Human Health Issues Updates - Alzheimer's and clinical research: https://human-health-issues.blogspot.com


Sunday, June 29, 2025

AI detects dementia types brain scan

AI Tool Detects 9 Dementia Types from a Single Brain Scan: Mayo Clinic Breakthrough

Dr David Jones analyses brain imaging on-screen at the Mayo Clinic. Credit: Mayo Clinic

Breakthrough AI Tool from Mayo Clinic Enables Early and Accurate Dignosis

Study Findings and Diagnostic Performance

Researchers at the Mayo Clinic have unveiled an AI-driven tool enabling clinicians to detect brain activity signatures associated with nine forms of dementiaincluding Alzheimer'svia a single, commonly used scan, marking a significant leap forward in early and precise diagnosis.

According to a study published on 27 June 2025 in Neurology. StateViewer correctly identified dementia types in 88% of cases. The AI tool also expedited scan interpretation, achieving nearly double the speed and up to triple the accuracy of traditional diagnostic approaches. The system was trained and evaluated using more than 3,600 brain images, including those from healthy participants.

Addressing Diagnostic Challenges in Dementia Care

This breakthrough tackles a fundamental hurdle in dementia care—achieving early and accurate diagnosis, even in cases involving overlapping conditions. With new therapies on the horizon, prompt identification ensures patients receive the most suitable treatment when it proves most effective. The tool offers advanced diagnostic capabilities to practices without  specialist neurology support.

The Growing Burden of Dementia

Global Impact and Current Diagnostic Limitations

Dementia currently impacts over 55 million individuals worldwide, with almost 10 million new diagnoses annually. Alzheimer's disease, the predominant subtype, now ranks as the fifth most common cause of death. Diagnosis involves memory assessments, blood tests, scans, clinical evaluations and specialist referrals—yet even experts find it difficult to differentiate between Alzheimer's, Lewy body and frontotemporal dementias.

StateViewer: A Vision Realized through AI Collaboration

Leadership Behind the Innovation

StateViewer was created under the leadership of Dr. David Jones a consultant neurologist and head fo the Neurology Artificial Intelligence Programme at the Mayo Clinic.

"Each patient who enters my clinic brings with them a story uniquely influenced by the brain's intricate workings," says Dr. Jones. "That complexity is what attracted me to neurology and still fuels my dedication to clearer diagnoses. StateViewer embodies that passion—progress toward earlier insight, more accurate treatment and ultimately, altering the course of these conditions."

AI Engineering and Patient-Focused Design

To realize that vision, Dr. Jones collaborated with Leland Barnard, Ph.D. the data scientist spearheading the AI engineering of StateViewer.

"Throughout the development of StateViewer, we remained acutely aware that each data point and brain scan represented a person grappling with a challenging diagnosis and pressing concerns," says Dr. Barnard. "Witnessing how this tool can offer clinicians timely, accurate insights underscores the promise of machine learning within clinical practice."

Translating Brain Activity into Clinical Understanding

How the StateViewer Tool Works

The tool interprets an FDG-PET scan—used to assess how the brain metabolizes glucose energy—and cross-references it with a comprehensive database of scan from individuals with confirmed dementia, detecting patterns linked to distinct or overlapping dementia types.

Dementia Subtype Detection

Alzheimer's generally impacts regins associated with memory and cognition, while Lewy body dementia affects area governing attention and motor function. Frontotemporal dementia, meanwhile disrupts language and behavioural centers.

Visual Insights for All Clinicians

StateViewer employs colour-coded brain maps to visually depict these patterns, enabling all clinicians—even those without neurology backgrounds—to comprehend the AI's diagnostic rationale.

Future Prospects and Clinical Integration

Researchers at the Mayo clinic intend to broaden the tool's application and will carry on assessing it effectiveness across diverse clinical environemtns.

Source

Discover how AI is revolutionizing dementia diagnosis with tools like StateViewer—advancing early detection and personalized care. Stay informed on health innovations, Space Science, Physics and environmental news by visiting our trusted sources below:

  • Exploring cutting-edge insights on health challenges and solutions at Human Health Issues, your go-to resource for medical breakthroughs and wellness guidance.
  • Keep up with the latest in science and technology at FSNews365, delivering timely updates on AI, Space and more.
  • Learn about pressing environmental topics and sustainability efforts at Earth Day Harsh Reality, raising awareness on climate change and ecological preservation.

Dendritic Nanotubes Alzheimers Discovery 2025

Dendritic Nanotubes: New Brain Bridges Linked to Early Alzheimer's Clues Edited by: Fasi Uddin Snapshot Scientists have identified a nov...