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      Neurofibrillary tangle-bearing neurons have reduced risk of cell death in mice with Alzheimer’s pathology

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          SUMMARY

          A prevailing hypothesis is that neurofibrillary tangles play a causal role in driving cognitive decline in Alzheimer’s disease (AD) because tangles correlate anatomically with areas that undergo neuronal loss. We used two-photon longitudinal imaging to directly test this hypothesis and observed the fate of individual neurons in two mouse models. At any time point, neurons without tangles died at >3 times the rate as neurons with tangles. Additionally, prior to dying, they became >20% more distant from neighboring neurons across imaging sessions. Similar microstructural changes were evident in a population of non-tangle-bearing neurons in Alzheimer’s donor tissues. Together, these data suggest that nonfibrillar tau puts neurons at high risk of death, and surprisingly, the presence of a tangle reduces this risk. Moreover, cortical microstructure changes appear to be a better predictor of imminent cell death than tangle status is and a promising tool for identifying dying neurons in Alzheimer’s.

          In brief

          Zwang et al. used two-photon microscopy to track neurofibrillary tangle (NFT) formation and neuron loss in model mice. They observed that neurons with NFTs died less frequently than neurons without NFTs. Dying neurons could also be identified by local cortical microstructure changes, providing a method to identify susceptible populations.

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          Most cited references35

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          The senescence-associated secretory phenotype: the dark side of tumor suppression.

          Cellular senescence is a tumor-suppressive mechanism that permanently arrests cells at risk for malignant transformation. However, accumulating evidence shows that senescent cells can have deleterious effects on the tissue microenvironment. The most significant of these effects is the acquisition of a senescence-associated secretory phenotype (SASP) that turns senescent fibroblasts into proinflammatory cells that have the ability to promote tumor progression.
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            ilastik: interactive machine learning for (bio)image analysis

            We present ilastik, an easy-to-use interactive tool that brings machine-learning-based (bio)image analysis to end users without substantial computational expertise. It contains pre-defined workflows for image segmentation, object classification, counting and tracking. Users adapt the workflows to the problem at hand by interactively providing sparse training annotations for a nonlinear classifier. ilastik can process data in up to five dimensions (3D, time and number of channels). Its computational back end runs operations on-demand wherever possible, allowing for interactive prediction on data larger than RAM. Once the classifiers are trained, ilastik workflows can be applied to new data from the command line without further user interaction. We describe all ilastik workflows in detail, including three case studies and a discussion on the expected performance.
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              Neurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer's disease.

              We studied the accumulation of neurofibrillary tangles (NFTs) and senile plaques (SPs) in 10 Alzheimer's disease patients who had been examined during life. We counted NFTs and SPs in 13 cytoarchitectural regions representing limbic, primary sensory, and association cortices, and in subcortical neurotransmitter-specific areas. The degree of neuropathologic change was compared with the severity of dementia, as assessed by the Blessed Dementia Scale and duration of illness. We found that (1) the severity of dementia was positively related to the number of NFTs in neocortex, but not to the degree of SP deposition; (2) NFTs accumulate in a consistent pattern reflecting hierarchic vulnerability of individual cytoarchitectural fields; (3) NFTs appeared in the entorhinal cortex, CA1/subiculum field of the hippocampal formation, and the amygdala early in the disease process; and (4) the degree of SP deposition was also related to a hierarchic vulnerability of certain brain areas to accumulate SPs, but the pattern of SP distribution was different from that of NFT.
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                Author and article information

                Journal
                101573691
                39703
                Cell Rep
                Cell Rep
                Cell reports
                2211-1247
                11 September 2024
                27 August 2024
                02 August 2024
                30 September 2024
                : 43
                : 8
                : 114574
                Affiliations
                [1 ]Department of Neurology, Massachusetts General Hospital, Charlestown, MA, USA
                [2 ]Harvard Medical School, Boston, MA, USA
                [3 ]University Lille, Inserm, CHU Lille, LilNCog—Lille Neuroscience & Cognition, 59000 Lille, France
                [4 ]Division of Chemistry, Department of Physics, Chemistry and Biology, Linköping University, 581 83 Linköping, Sweden
                [5 ]These authors contributed equally
                [6 ]Lead contact
                Author notes

                AUTHOR CONTRIBUTIONS

                These experiments were designed by T.J.Z., B.T.H., and R.E.B. In vivo images were collected by R.E.B. and N.R.-U. and analyzed by T.J.Z., Z.H., and E.d.S. Histology was conducted by B.W., T.J.Z., J.B., and N.W. Ex vivo human tissue analysis was conducted by T.J.Z., Z.H., and L.N. Protein biochemistry was conducted by R.E.B. and N.R.-U. AAV was designed by Z.F. and R.E.B. The Thytau22 mouse was developed and provided by L.B. HS-84 was designed and synthesized by K.P.R.N. T.J.Z., B.T.H., and R.E.B. prepared the figures and manuscript for publication, which was reviewed by all authors.

                Article
                NIHMS2019531
                10.1016/j.celrep.2024.114574
                11441076
                39096489
                c5e1c019-470d-4f90-b499-31ba287605f4

                This is an open access article under the CC BY license ( https://creativecommons.org/licenses/by/4.0/).

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                Cell biology
                Cell biology

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