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[DOI] [PubMed] [Google Scholar] 118.Hutchins G.D., Schwaiger M., Rosenspire K.C., Krivokapich J., Schelbert H., Kuhl D.E

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Through mathematical ecological models (e.g., ecological networks, survival analyses, neural network-based ODEs) processing longitudinal microbiome data, it predicts dysbiosis risks while leveraging ecosystem complexity and redundancy to optimize cancer therapeutics

The mechanisms include reduction of excitotoxicity and oxidative stress, enhanced neurotrophic factor expression supporting neuronal survival, angiogenesis improving cerebral blood flow, and modulation of dopamine and serotonin systems

Nat Chem Biol 4:609616 Vita N, Landolfi G, Basle A et al (2016) Bacterial cytosolic proteins with a high capacity for Cu(I) that protect against copper toxicity

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