Inflammation in Bipolar Disorder: Identification of New Therapeutic Targets

Introdução: A doença bipolar é um distúrbio mental com origem no conceito “mania”. Trata-se de uma patologia crónica, de natureza cíclica, caracterizada pelo aparecimento de episódios alternados de mania/hipomania com episódios de eutimia/depressão. Com este artigo pretendemos identificar novas abordagens terapêuticas para o tratamento da doença bipolar, tendo em consideração o envolvimento da inflamação na sua fisiopatologia. Métodos: Revisão da literatura que relaciona a doença bipolar com a inflamação e possíveis alvos terapêuticos, baseada em artigos de revisão. Pesquisa de ensaios clínicos que permitam avaliar as novas intervenções terapêuticas. Resultados: O tratamento farmacológico da doença bipolar é complexo, sendo periodicamente adaptado à fase de doença. Para a compreensão da fisiopatologia da doença bipolar são propostas várias hipóteses relacionadas com o processo inflamatório subjacente, como a ativação patológica da microglia, desvendando um vasto leque de alvos terapêuticos. Atualmente estão a decorrer alguns ensaios clínicos que avaliam a eficácia das novas estratégias terapêuticas. Conclusão: Distúrbios mentais como a doença bipolar têm suscitado preocupação na comunidade científica e médica devido ao seu impacto ao nível social e económico. Tendo em conta o envolvimento da inflamação na fisiopatologia da doença bipolar, o sistema imunitário constitui um novo alvo terapêutico. Assim, surgem novas opções de tratamento que incluem fármacos anti-inflamatórios não esteroides e antagonistas do glutamato. Estas novas abordagens requerem mais estudos, nomeadamente a realização de ensaios clínicos.info:eu-repo/semantics/publishedVersio

Game theory of mind

This paper introduces a model of ‘theory of mind’, namely, how we represent the intentions and goals of others to optimise our mutual interactions. We draw on ideas from optimum control and game theory to provide a ‘game theory of mind’. First, we consider the representations of goals in terms of value functions that are prescribed by utility or rewards. Critically, the joint value functions and ensuing behaviour are optimised recursively, under the assumption that I represent your value function, your representation of mine, your representation of my representation of yours, and so on ad infinitum. However, if we assume that the degree of recursion is bounded, then players need to estimate the opponent's degree of recursion (i.e., sophistication) to respond optimally. This induces a problem of inferring the opponent's sophistication, given behavioural exchanges. We show it is possible to deduce whether players make inferences about each other and quantify their sophistication on the basis of choices in sequential games. This rests on comparing generative models of choices with, and without, inference. Model comparison is demonstrated using simulated and real data from a ‘stag-hunt’. Finally, we note that exactly the same sophisticated behaviour can be achieved by optimising the utility function itself (through prosocial utility), producing unsophisticated but apparently altruistic agents. This may be relevant ethologically in hierarchal game theory and coevolution

Thinking dispositions for teaching : enabling and supporting resilience in context

Preparing pre-teachers for an increasingly challenging teaching profession is a complex work and requires teacher educators to engage in the careful design of both programmes and professional learning opportunities. This chapter explores how an explicit focus on thinking dispositions that enable effective teaching are developed in a Master of Teaching (Secondary) programme. This programme, delivered on-site at a secondary school, included carefully constructed teaching opportunities to support development of thinking dispositions. Ways of thinking and the impact they have on feelings, actions and beliefs will be examined along with how the implementation of our thinking dispositions framework supports the development of resilience in challenging teaching and learning contexts

Decision Making for Inconsistent Expert Judgments Using Negative Probabilities

In this paper we provide a simple random-variable example of inconsistent information, and analyze it using three different approaches: Bayesian, quantum-like, and negative probabilities. We then show that, at least for this particular example, both the Bayesian and the quantum-like approaches have less normative power than the negative probabilities one.Comment: 14 pages, revised version to appear in the Proceedings of the QI2013 (Quantum Interactions) conferenc

An integrated analysis and comparison of serum, saliva and sebum for COVID-19 metabolomics.

The majority of metabolomics studies to date have utilised blood serum or plasma, biofluids that do not necessarily address the full range of patient pathologies. Here, correlations between serum metabolites, salivary metabolites and sebum lipids are studied for the first time. 83 COVID-19 positive and negative hospitalised participants provided blood serum alongside saliva and sebum samples for analysis by liquid chromatography mass spectrometry. Widespread alterations to serum-sebum lipid relationships were observed in COVID-19 positive participants versus negative controls. There was also a marked correlation between sebum lipids and the immunostimulatory hormone dehydroepiandrosterone sulphate in the COVID-19 positive cohort. The biofluids analysed herein were also compared in terms of their ability to differentiate COVID-19 positive participants from controls; serum performed best by multivariate analysis (sensitivity and specificity of 0.97), with the dominant changes in triglyceride and bile acid levels, concordant with other studies identifying dyslipidemia as a hallmark of COVID-19 infection. Sebum performed well (sensitivity 0.92; specificity 0.84), with saliva performing worst (sensitivity 0.78; specificity 0.83). These findings show that alterations to skin lipid profiles coincide with dyslipidaemia in serum. The work also signposts the potential for integrated biofluid analyses to provide insight into the whole-body atlas of pathophysiological conditions

Different evolution of genotypic resistance profiles to emtricitabine versus lamivudine in tenofovir-containing regimens.

BACKGROUND: To investigate genotypic resistance profiles to emtricitabine + tenofovir (FTC + TDF) in-vivo and in-vitro, and compare them with lamivudine + tenofovir (3TC + TDF). METHODS: Three hundred fifty-two HIV-1 B-subtype pol sequences from 42 FTC + TDF-treated patients, 40 3TC + TDF-treated patients, and 270 patients treated with 3TC plus another nucleoside reverse transcriptase inhibitor (but not TDF). All patients never received FTC, 3TC, and TDF in their previous therapeutic regimen. 3TC/FTC ± TDF resistance was investigated using in vitro selection experiments and docking simulations. RESULTS: The M184V mutation is less prevalent in FTC + TDF-treated patients than in 3TC + TDF-treated, and 3TC-treated/TDF-naive patients (14.3% versus 40.0%, P = 0.01 and 55.6%, P < 0.001). Multivariable analysis shows that factors correlated with a lower probability of M184V emergence at failure were the use of FTC compared with 3TC [odds ratio (OR): 0.32 (95% confidence interval (CI): 0.10 to 0.99), P = 0.04], the use of boosted protease inhibitor, and the use of TDF [OR: 0.20 (95% CI: 0.11 to 0.37), P < 0.001, and OR: 0.47 (95%CI: 0.22 to 1.01), P = 0.05, respectively]. In vitro selection experiments and docking analysis show that other reverse transcriptase (RT) mutations, even localized in RT connection domain, can be selected by 3TC + TDF or FTC + TDF in M184V absence and can affect RT affinity for 3TC/FTC and/or TDF. CONCLUSIONS: Our study shows lower rates of M184V development in FTC + TDF regimens versus 3TC + TDF and suggests a potential role of boosted protease inhibitors and TDF in delaying the M184V emergence. Novel RT mutational patterns, more complex than currently known, can contribute to 3TC, FTC, and TDF resistance

Decadal to monthly timescales of magma transfer and reservoir growth at a caldera volcano

International audienceCaldera-forming volcanic eruptions are low-frequency, highimpact events capable of discharging tens to thousands of cubic kilometres of magma explosively on timescales of hours to days, with devastating effects on local and global scales1. Because no such eruption has been monitored during its long build-up phase, the precursor phenomena are not well understood. Geophysical signals obtained during recent episodes of unrest at calderas such as Yellowstone, USA, and Campi Flegrei, Italy, are difficult to interpret, and the conditions necessary for large eruptions are poorly constrained2,3. Here we present a study of pre-eruptive magmatic processes and their timescales using chemically zoned crystals from the 'Minoan' caldera-formingeruption of Santorini volcano,Greece4, which occurred in the late 1600s BC. The results provide insights into how rapidly large silicic systems may pass from a quiescent state to one on the edge of eruption5,6. Despite the large volume of erupted magma4 (40-60 cubic kilometres), and the 18,000-year gestation period between the Minoan eruption and the previous major eruption, most crystals in the Minoan magma record processes that occurred less than about 100 years before the eruption. Recharge of the magma reservoir by large volumes of silicic magma (and some mafic magma) occurred during the century before eruption, and mixing between different silicicmagmabatches was still taking place during the final months. Final assembly of large silicic magma reservoirs may occur on timescales that are geologically very short by comparison with the preceding repose period, with major growth phases immediately before eruption. These observations have implications for the monitoring of long-dormant, but potentially active, caldera systems