Publications by authors named "M Giannotti Santoro"

Health networking is in principle a formidable instrument to address many challenges posed by cancer, one of the two most common and most lethal non-communicable chronic diseases. The European Union (EU)'s Beating Cancer Plan foresaw the addition of new health networks to the four already existing European Reference Networks on rare cancers: the Network of Comprehensive Cancer Centres and several networks of expertise (NoEs), which will be shortly deployed on items as complex and poor-prognosis cancers, palliative care, survivorship, personalised primary and secondary prevention, omic technologies, hi-tech medical resources, and cancers in adolescents and young adults. The community of experts of the EU Joint Action, due to build such NoEs, has drafted this 'green paper', incorporating 13 open questions, in an effort to foster discussion on some open questions about health networking on cancer in the EU.

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Protein aggregates in motoneurons, a pathological hallmark of amyotrophic lateral sclerosis, have been suggested to play a key pathogenetic role. ALS8, characterized by ER-associated inclusions, is caused by a heterozygous mutation in VAPB, which acts at multiple membrane contact sites between the ER and almost all other organelles. The link between protein aggregation and cellular dysfunction is unclear.

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Islatravir (ISL) is a novel antiretroviral that inhibits HIV-1 reverse transcriptase translocation. The M184V mutation, known to reduce ISL's viral susceptibility in vitro, could arise from prolonged exposure to nucleoside reverse transcriptase inhibitors (NRTI) (3TC). This study evaluated the predictive efficacy of ISL and identified potentially active antiretrovirals in combination among treatment-experienced patients in Cameroon, where NRTIs (3TC) have been the backbone of ART for decades now.

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We hypothesized that the heterogeneous architecture of biological neural networks provides a substrate to regulate the well-known tradeoff between robustness and efficiency, thereby allowing different subpopulations of the same network to optimize for different objectives. To distinguish between subpopulations, we developed a metric based on the mathematical theory of simplicial complexes that captures the complexity of their connectivity by contrasting its higher-order structure to a random control and confirmed its relevance in several openly available connectomes. Using a biologically detailed cortical model and an electron microscopic dataset, we showed that subpopulations with low simplicial complexity exhibit efficient activity.

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Objective: This article aims to systematically review the studies on schizophrenia in Brazil, addressing geographical coverage as an indicator of sampling representativeness, essential to infer results' generalization. It also highlights the variation in research funding across different regions.

Methods: We searched for studies carried out until July 2023.

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