Anna Maria Colangelo
University of Milano-Bicocca
55 Papers
354 Citations
Anna Maria Colangelo is an academic researcher from University of Milano-Bicocca. The author has contributed to research in topics: Nerve growth factor & Biology. The author has an hindex of 23, co-authored 48 publications. Previous affiliations of Anna Maria Colangelo include Georgetown University & University of Milan.
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Papers
Interleukin-10 prevents glutamate-mediated cerebellar granule cell death by blocking caspase-3-like activity.
Alessia Bachis,Anna Maria Colangelo,Stefano Vicini,Pylord P. Doe,Maria A. De Bernardi,Gary Brooker,Italo Mocchetti +6 more
TL;DR: IL-10 blocked both the glutamate-mediated induction of caspase-3 as well as NF-κB DNA binding activity, suggesting that the neuroprotective properties of IL-10 may rely on its ability to block the activity of proapoptotic proteins.
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Astrogliosis as a therapeutic target for neurodegenerative diseases
TL;DR: This review provides a brief overview of current knowledge of astrocyte functions in the brain, and focuses on some glial-specific pathways involved in astroCytic dysfunction that might be effective therapeutic targets for clinical management of neurodegenerative disorders.
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Neuro-Immune Hemostasis: Homeostasis and Diseases in the Central Nervous System
TL;DR: It is proposed that, to better understand and favor the maintenance of adaptive plasticity, it would be useful to construct predictive molecular models, able to enlighten the regulating logic of the complex molecular network, which belongs to different cellular domains.
Increased Basic Fibroblast Growth Factor Expression Following Contusive Spinal Cord Injury
TL;DR: The hypothesis that FGF2 may play a role in the partial recovery of function seen following SCI is supported and increased biological activity indicated by their ability to increase [3H]thymidine incorporation in cultures of Balb/c 3T3 cells is shown.
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Neurons, Glia, Extracellular Matrix and Neurovascular Unit: A Systems Biology Approach to the Complexity of Synaptic Plasticity in Health and Disease.
Ciro De Luca,Anna Maria Colangelo,Assunta Virtuoso,Lilia Alberghina,Michele Papa,Michele Papa +5 more
TL;DR: It is proposed that a better interpretation of the CNS complexity can be granted by a systems biology approach through the construction of predictive molecular models that enable to enlighten the regulatory logic of the complex molecular networks underlying brain function in health and disease, thus opening the way to more effective treatments.
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