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New preprint from our group, led by Lissa Ventura Antunes, explores structural changes in arterioles with cerebral amyloid angiopathy. Lissa is a master of quantitative 3D microscopy. In this clip, healthy tissue is first, then two cases with CAA. @VUMCneurology Vanderbilt University Medical Center

11,966 次观看 • 2 年前 •via X (Twitter)

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Matthew Schrag 的头像
Matthew Schrag2 年前

The healthy lacy network of vessels in the brain is profoundly disrupted in CAA and the penetrating arterioles become thickened, stiff and distorted. As rings of beta-amyloid form on the vessels (blue), vascular smooth muscle dies (red).

Matthew Schrag 的头像
Matthew Schrag2 年前

As the vessels deteriorate, the lumen expands and the organized rings of beta-amyloid start to fracture into sharply contoured "shards." @VUCellImaging

Matthew Schrag 的头像
Matthew Schrag2 年前

At the point of rupture, vessels are often severely distended and the amyloid "rings" are completely shattered into fragments. (Amyloid is stained red in these clips.)

Matthew Schrag 的头像
Matthew Schrag2 年前

We explore a potential role for the extracellular matrix modifying enzyme LOX in CAA, showing it correlates with degenerative phenotypes. LOX (in pink) could mediate the increased vascular stiffness and structural distortion we observed in CAA by crosslinking ECM proteins.

Matthew Schrag 的头像
Matthew Schrag2 年前

Shoutout to @anackenoff who did some of the foundational technical work for this project, to @LippmannLabVU for a major contribution and imaging expertise from Jose Maldonado/Neurovisualization lab. Preliminary draft at the link and we welcome feedback.

Steven Mathern 的头像
Steven Mathern2 年前

@MicrobiomDigest @AntunesLissa @VUMCneurology @VUMCDiscoveries @DaniBeckman @RolandBakerIII ?

Danielle Beckman 的头像
Danielle Beckman2 年前

@AntunesLissa @VUMCneurology @VUMCDiscoveries Such beautiful work. Congrats to the team! Now I have to try the same staining in my aged monkeys, the CAA pathology looks similar!

Abdul Moiz 的头像
Abdul Moiz2 年前

@AntunesLissa @VUMCneurology @VUMCDiscoveries Great Work. This is revolutionary. Personally, I love reading about degenerate organic diseases of the brain and I seriously love this.

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⚡️📣👇Tremendously excited to share our new Cell article, where we develop TriPath, a method for analyzing 3D pathology samples using weakly supervised AI. Article: TriPath enables 3D computational pathology via 3D multiple instance learning allowing AI models to capture intricate morphological details from pathology volumes. Code: Blog post: Tested on two different imaging modalities, and patient cohorts from two institutions. Our superstar Andrew H. Song put in a monumental effort of leading the study, in a fantastic collaboration with Jonathan Liu at University of Washington . Interesting aspects: - Utilizing the whole tissue volume and leveraging 3D deep learning enable superior risk prediction performance compared to 2D deep learning baselines based on a few sampled tissue sections that emulate standard clinical practice. This indicates TriPath can harness additional information provided by 3D tissue morphology. - The performance is also superior to clinical baselines from a reader study that involved six expert pathologists. - The morphologically heterogeneous tissue volume could lead to opposing patient-level outcome predictions, dependent on which portion of the tissue volume is used. This concurs with current clinical literature warning that tissue sampling bias can lead to misdiagnosis. Some limitations: - While the 3D pathology cohort size is unprecedented, it is smaller than typical 2D pathology cohorts. Further large-scale studies will be required for validation. Nevertheless, we believe that this study will initiate a positive cycle, encouraging academic institutions and pharmaceutical companies to contribute large banks of human tissue blocks with paired clinical outcomes, thus speeding up advancements in 3D computational pathology. Concluding insights: We believe that 3D pathology is just around the corner - It has the huge potential to not only augment/improve the current clinical practice centered around 2D examination of human tissue, but also help reveal novel biomarkers for prognosis and therapeutic response.. Harvard Medical School Harvard Data Science Initiative Mass General Brigham Broad Institute

Faisal Mahmood

65,541 次观看 • 2 年前