Efeitos da exposição à nicotina e à fumaça de cigarro durante a lactação sobre o sistema de recompensa cerebral em ratos

Crianças de mães fumantes são mais suscetíveis a se tornarem adultos obesos e se viciarem em drogas ou alimentos palatáveis. Drogas e alimentos ativam a via mesolímbica de recompensa, causando sensação de prazer que induz ainda mais o consumo. Assim, avaliamos a relação entre a exposição apenas à nicotina ou à fumaça do cigarro durante a lactação com a preferência alimentar e sistema dopaminérgico de recompensa cerebral das proles, em dois modelos de programação: Modelo I: no 2o dia pós-natal (PN), lactantes receberam implante de minibombas osmóticas que liberam nicotina (NIC) ou salina (C), durante 14 dias. Em PN150 e novamente em PN160, as proles foram divididas em 4 grupos para um desafio alimentar: N-SC e C-SC que receberam ração padrão; N-SSD e C-SSD que podiam escolher livremente entre as dietas hiperlipídica e hiperglicídica. A ingestão alimentar foi avaliada após 12 h. As mães foram sacrificadas apenas na 21 da lactação (desmame) e as proles em PN15 (com nicotina), PN21 e PN170 (ausência da NIC). Ao desmame, as ratas lactantes NIC apresentaram menor conteúdo de tirosina hidroxilase (TH), maior OBRb e SOCS3 na area tegmentar ventral (VTA); menor TH, maior receptor de dopamina 1 (D1R), receptor de dopamina 2 (D2R) e transportador de dopamina (DAT) no núcleo accumbens (NAc); maior conteúdo de TH no estriado dorsal (DS); e maior D2R e SOCS3 no núcleo arqueado (ARC). Em PN15, os filhotes NIC apresentaram maior conteúdo de D1R, D2R e menor DAT no NAc, enquanto em PN21, apresentaram apenas menor DAT no DS, e menor conteúdo de pSTAT3 em ARC. Aos 170 dias, as proles SSD demonstraram maior preferência para a ração hiperlipídica. No entanto, os animais N-SSD consumiram mais ração hiperglicidica do que as proles C-SSD. A prole N apresentou menor conteúdo de D2R e DAT no NAc e menor D2R no ARC. Modelo II: as mães e suas proles foram divididas em: expostos à fumaça do cigarro (grupo S: 4 vezes / dia, do 3 ao 21 dia de lactação), e expostos ao ar filtrado (grupo C). Em PN175, as proles foram divididas em 4 grupos para o desafio alimentar S-SC, C-SC, S-SSD e C-SSD. A ingestão alimentar foi avaliada após 30 min e 12 h. Em PN180, as proles foram sacrificadas. O grupo S-SSD ingeriu mais das rações palatáveis do que o grupo C-SSD em 30 min e 12 h. Ambos os grupos preferiram a ração hiperlipídica. No entanto, os animais S-SSD consumiram mais ração hiperlipídica do que C-SSD em 30 min. A prole S apresentou menor conteúdo de TH no VTA, menor conteúdo de TH, D2R e maior conteúdo de D1R no NAc e menor OBRb no ARC. Demonstramos que tanto a nicotina isolada como a exposição à fumaça do cigarro durante a lactação resultaram em mudanças no sistema dopaminérgico das proles, programando o comportamento alimentar devido à diminuição da dopamina no NAc.

Caracterização molecular de bastonetes Gram positivos irregulares e actinomicetos aeróbios obtidos de espécimes clínicos, de ensaios de esterilidade e de áreas limpas

Os bastonetes Gram positivos irregulares (BGPIs) compõem um grupo de espécies bacterianas com ampla diversidade fenotípica e que podem estar presente no meio ambiente, na microbiota humana e de animais. A identificação acurada de BGPIs em nível de gênero e espécie empregando métodos bioquímicos convencionais é bastante limitada, sendo recomendado, portanto, o uso de técnicas moleculares. No presente estudo, foram identificadas amostras de BGPIs oriundas de espécimes clínicos de humanos, de produtos farmacêuticos e de áreas limpas através da análise de sequencias do gene 16S rRNA e de outros genes conservados (housekeeping genes). Os resultados obtidos pelo sequenciamento dos genes 16S rRNA e rpoB demonstraram C. striatum multi-resistente (MDR) como responsável por surto epidêmico em ambiente hospitalar da cidade do Rio de Janeiro. Quinze cepas de C. striatum foram isoladas em cultura pura a partir de secreção traqueal de pacientes adultos submetidos a procedimentos de entubação endotraqueal. A análise por eletroforese em gel de campo pulsado (PFGE) indicou a presença de quatro perfis moleculares, incluindo dois clones relacionados com cepas MDR (PFGE I e II). Os dados demonstram a predominância de PFGE I entre cepas MDR isoladas de unidades de terapia intensiva e enfermarias cirúrgicas. Uma potencial ligação causal entre a morte e a infecção por C. striatum MDR (PFGE tipos I e II) foi observada em cinco casos. Adicionalmente, acreditamos que este seja o primeiro estudo de identificação de espécies de Nocardia relacionadas com infecções humanas pela análise da sequencia multilocus (MLSA) no Brasil. Diferente dos dados observados na literatura (1970 a 2013) e obtidos pelos testes fenotípicos convencionais, a caracterização molecular de quatro lócus (gyrB-16S-secA1-hsp65) permitiu a identificação das espécies N. nova, N. cyriacigeorgica, N. asiatica e N. exalbida/gamkensis relacionadas com quadros de nocardiose em humanos. Cepas de N. nova isoladas de diferentes materiais clínicos de um único paciente apresentaram padrões de susceptibilidade antimicrobianos idênticos e dois perfis PFGE, indicando a possibilidade de quadros de co-infecção por N. nova em humanos. Em outra etapa da investigação, amostras de BGPIs obtidos de ambientes de salas limpas que não puderam ser identificadas por critérios convencionais foram submetidas a análise da sequência do gene 16S rRNA e caracterizadas 95,83% em nível de gênero e 35,42% em espécies. Para gêneros mais encontrados no estudo, foram analisados os genes rpoB e recA de dezessete cepas de Microbacterium e utilizado o MLSA para a identificação de sete cepas identificadas como Streptomyces. Os ensaios permitiram a identificação de três cepas de Microbacterium e de uma única amostra de Streptomyces ao nível de espécie. A análise da sequencia do gene rpoB também se mostrou eficaz na identificação de espécies de cepas de Corynebacterium. Finalmente, para as cepas ambientais pertencentes à classe Actinobacteria os dados morfológicos, bioquímicos e genotípicos permitiram documentar a cepa 3117BRRJ como representante de uma nova espécie do gênero Nocardioides, para o qual o nome Nocardioides brasiliensis sp. nov. e as cepas 3712BRRJ e 3371BRRJ como representante de um novo gênero e espécie para o qual o nome Guaraldella brasiliensis nov. foi proposto.

The Effect of Motivation on Movement: A Study of Bradykinesia in Parkinson's Disease

Background: Bradykinesia is a cardinal feature of Parkinson's disease (PD). Despite its disabling impact, the precise cause of this symptom remains elusive. Recent thinking suggests that bradykinesia may be more than simply a manifestation of motor slowness, and may in part reflect a specific deficit in the operation of motivational vigour in the striatum. In this paper we test the hypothesis that movement time in PD can be modulated by the specific nature of the motivational salience of possible action-outcomes. Methodology/Principal Findings: We developed a novel movement time paradigm involving winnable rewards and avoidable painful electrical stimuli. The faster the subjects performed an action the more likely they were to win money (in appetitive blocks) or to avoid a painful shock (in aversive blocks). We compared PD patients when OFF dopaminergic medication with controls. Our key finding is that PD patients OFF dopaminergic medication move faster to avoid aversive outcomes (painful electric shocks) than to reap rewarding outcomes (winning money) and, unlike controls, do not speed up in the current trial having failed to win money in the previous one. We also demonstrate that sensitivity to distracting stimuli is valence specific. Conclusions/Significance: We suggest this pattern of results can be explained in terms of low dopamine levels in the Parkinsonian state leading to an insensitivity to appetitive outcomes, and thus an inability to modulate movement speed in the face of rewards. By comparison, sensitivity to aversive stimuli is relatively spared. Our findings point to a rarely described property of bradykinesia in PD, namely its selective regulation by everyday outcomes. © 2012 Shiner et al.

Model-based influences on humans' choices and striatal prediction errors.

The mesostriatal dopamine system is prominently implicated in model-free reinforcement learning, with fMRI BOLD signals in ventral striatum notably covarying with model-free prediction errors. However, latent learning and devaluation studies show that behavior also shows hallmarks of model-based planning, and the interaction between model-based and model-free values, prediction errors, and preferences is underexplored. We designed a multistep decision task in which model-based and model-free influences on human choice behavior could be distinguished. By showing that choices reflected both influences we could then test the purity of the ventral striatal BOLD signal as a model-free report. Contrary to expectations, the signal reflected both model-free and model-based predictions in proportions matching those that best explained choice behavior. These results challenge the notion of a separate model-free learner and suggest a more integrated computational architecture for high-level human decision-making.

Encoding of marginal utility across time in the human brain.

Marginal utility theory prescribes the relationship between the objective property of the magnitude of rewards and their subjective value. Despite its pervasive influence, however, there is remarkably little direct empirical evidence for such a theory of value, let alone of its neurobiological basis. We show that human preferences in an intertemporal choice task are best described by a model that integrates marginally diminishing utility with temporal discounting. Using functional magnetic resonance imaging, we show that activity in the dorsal striatum encodes both the marginal utility of rewards, over and above that which can be described by their magnitude alone, and the discounting associated with increasing time. In addition, our data show that dorsal striatum may be involved in integrating subjective valuation systems inherent to time and magnitude, thereby providing an overall metric of value used to guide choice behavior. Furthermore, during choice, we show that anterior cingulate activity correlates with the degree of difficulty associated with dissonance between value and time. Our data support an integrative architecture for decision making, revealing the neural representation of distinct subcomponents of value that may contribute to impulsivity and decisiveness.

The role of human orbitofrontal cortex in value comparison for incommensurable objects.

The human orbitofrontal cortex is strongly implicated in appetitive valuation. Whether its role extends to support comparative valuation necessary to explain probabilistic choice patterns for incommensurable goods is unknown. Using a binary choice paradigm, we derived the subjective values of different bundles of goods, under conditions of both gain and loss. We demonstrate that orbitofrontal activation reflects the difference in subjective value between available options, an effect evident across valuation for both gains and losses. In contrast, activation in dorsal striatum and supplementary motor areas reflects subjects' choice probabilities. These findings indicate that orbitofrontal cortex plays a pivotal role in valuation for incommensurable goods, a critical component process in human decision making.

Anchors, scales and the relative coding of value in the brain.

People are alarmingly susceptible to manipulations that change both their expectations and experience of the value of goods. Recent studies in behavioral economics suggest such variability reflects more than mere caprice. People commonly judge options and prices in relative terms, rather than absolutely, and display strong sensitivity to exemplar and price anchors. We propose that these findings elucidate important principles about reward processing in the brain. In particular, relative valuation may be a natural consequence of adaptive coding of neuronal firing to optimise sensitivity across large ranges of value. Furthermore, the initial apparent arbitrariness of value may reflect the brains' attempts to optimally integrate diverse sources of value-relevant information in the face of perceived uncertainty. Recent findings in neuroscience support both accounts, and implicate regions in the orbitofrontal cortex, striatum, and ventromedial prefrontal cortex in the construction of value.

Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans.

Theories of instrumental learning are centred on understanding how success and failure are used to improve future decisions. These theories highlight a central role for reward prediction errors in updating the values associated with available actions. In animals, substantial evidence indicates that the neurotransmitter dopamine might have a key function in this type of learning, through its ability to modulate cortico-striatal synaptic efficacy. However, no direct evidence links dopamine, striatal activity and behavioural choice in humans. Here we show that, during instrumental learning, the magnitude of reward prediction error expressed in the striatum is modulated by the administration of drugs enhancing (3,4-dihydroxy-L-phenylalanine; L-DOPA) or reducing (haloperidol) dopaminergic function. Accordingly, subjects treated with L-DOPA have a greater propensity to choose the most rewarding action relative to subjects treated with haloperidol. Furthermore, incorporating the magnitude of the prediction errors into a standard action-value learning algorithm accurately reproduced subjects' behavioural choices under the different drug conditions. We conclude that dopamine-dependent modulation of striatal activity can account for how the human brain uses reward prediction errors to improve future decisions.

Cortical substrates for exploratory decisions in humans.

Decision making in an uncertain environment poses a conflict between the opposing demands of gathering and exploiting information. In a classic illustration of this 'exploration-exploitation' dilemma, a gambler choosing between multiple slot machines balances the desire to select what seems, on the basis of accumulated experience, the richest option, against the desire to choose a less familiar option that might turn out more advantageous (and thereby provide information for improving future decisions). Far from representing idle curiosity, such exploration is often critical for organisms to discover how best to harvest resources such as food and water. In appetitive choice, substantial experimental evidence, underpinned by computational reinforcement learning (RL) theory, indicates that a dopaminergic, striatal and medial prefrontal network mediates learning to exploit. In contrast, although exploration has been well studied from both theoretical and ethological perspectives, its neural substrates are much less clear. Here we show, in a gambling task, that human subjects' choices can be characterized by a computationally well-regarded strategy for addressing the explore/exploit dilemma. Furthermore, using this characterization to classify decisions as exploratory or exploitative, we employ functional magnetic resonance imaging to show that the frontopolar cortex and intraparietal sulcus are preferentially active during exploratory decisions. In contrast, regions of striatum and ventromedial prefrontal cortex exhibit activity characteristic of an involvement in value-based exploitative decision making. The results suggest a model of action selection under uncertainty that involves switching between exploratory and exploitative behavioural modes, and provide a computationally precise characterization of the contribution of key decision-related brain systems to each of these functions.

Temporal difference models describe higher-order learning in humans.

The ability to use environmental stimuli to predict impending harm is critical for survival. Such predictions should be available as early as they are reliable. In pavlovian conditioning, chains of successively earlier predictors are studied in terms of higher-order relationships, and have inspired computational theories such as temporal difference learning. However, there is at present no adequate neurobiological account of how this learning occurs. Here, in a functional magnetic resonance imaging (fMRI) study of higher-order aversive conditioning, we describe a key computational strategy that humans use to learn predictions about pain. We show that neural activity in the ventral striatum and the anterior insula displays a marked correspondence to the signals for sequential learning predicted by temporal difference models. This result reveals a flexible aversive learning process ideally suited to the changing and uncertain nature of real-world environments. Taken with existing data on reward learning, our results suggest a critical role for the ventral striatum in integrating complex appetitive and aversive predictions to coordinate behaviour.

Immunomodulation and antitumor activity of kappa-carrageenan oligosaccharides

The modulation of carrageenan oligosaccharides from Kappaphycus striatum on the immune system in S 180-bearing mice was investigated. The mice inoculated with S180 cell suspension were treated p.o. with carrageenan oligosaccharides (50, 100 and 200 mu g/g) for 14 days. The effects of carrageenan oligosaccharides on transplantable tumors and macrophage phagocytosis, quantitative hemolysis of sheep red blood cells (QHS),. lymphocyte proliferation, the activity of natural killer cells (NK), production of interleukin-2 (IL-2) and tumor necrosis factor-alpha (TNF-alpha) were studied. Carrageenan oligosaccharides could significantly inhibit the growth of transplantable sarcoma S180 and increase macrophage phagocytosis, the form of antibody secreted by spleen cells, spleen lymphocyte proliferation, NK cells activity, serumal IL-2 and TNF-alpha level in S 180-bearing mice. Considering all these results, it is suggested that carrageenan oligosaccharides exert their antitumor effect by promoting the immune system. (c) 2005 Elsevier Ireland Ltd. All rights reserved.

吗啡奖赏效应及其敏化与空间学习能力的关系

Rewarding experience after drug use is one of the mechanisms of substance abuse. Previous evidence indicated that rewarding experience was closely related to learning processes. Neuroscience studies have already established multiple-mode learning model. Reference memory system and habit memory are associated with hippocampus and dorsa striatum respectively, which are also involved in the rewarding effect of morphine. However, the relationship between spatial/habit learning and morphine reward property is still unclear. After drug use, with sensitization to rewarding effect, spatial learning is also changed. To study the mechanism of increment of spatial learning would provide new perspective about reward learning. Based on the individual difference between spatial learning and reward learning, the experiments studied relationship between the two leaning abilities and tested the function of dorsal hippocampus and dorsal striatum in morphine-induced CPP. The results were summarized below： 1 In a single－rule learning water maze task, subjects better in spatial learning also excelled in rewarding learning. In a multi-rule learning task, morphine administration was more rewarding to subjects of use place strategy. 2 Treatment potentiating the rewarding effect of morphine also increased place-rule learning, with no significant improvement in habit learning. 3 Intracranial injections into CA1 of hippocampus or dorsal striatum of M1 antagonist, Pirenzepine, could block the establishment of morphine CPP after three days morphine treatment. In contrast, the antagonist of D1 receptor SCH23390 had no blocking effect. Both Pirenzepine and SCH23390 blocked the locomotor-stimulating effect of morphine. In summary, spatial learning stimulated the behavioral expression of morphine’s rewarding effect, in which CA1 of hippocampus was critically involved. On the other side, a pretreatment schedule of morphine, while increased the rewarding effect, improved place-rule learning, indicating that spatial learning might be one chain of sensitization to drug rewards effects

慢性海洛因成瘾者的冲动性和行为抑制缺陷脑机制

In recent years, the deficit of inhibition has become an important reason for explaining addiction. Response inhibition resembles the compulsive drug seeking behavior and it is the basement of addiction inhibition deficits. However, there were no enough evidence for the relationship between addiction and response inhibition deficits and the results of the neuro mechanisms studies remains unclear. Few studies has focused on the exploring the heroin users. Among those paradigms for study response inhibition deficits, stop signal is a very suitable model for the representation of compulsive drug seeking, but only a few researches has worked on this paradigm. In this study, we selected about 100 heroin abusers and had behaviour and neuro imaging scannings for investigating the response inhibition deficits. The behaviour researches found: first, the chronic heroin users had longer reaction time than control group and this reaction time were not affected by stop signals in heroin users. Second, heroin users had less waiting time than control group and they were more impulsive but less flexibility. Their erro monitoring and flexibale adjustment ability decreased. Third, the SSRT of heroin users was significantly longer than control group. These results suggested that the inhibition of heroin users were impaired. Further investigation showed that the SSRT of heroin users had positive correlation of four factor scores of ASI and the macro correlation coefficient was factor three of drug use. This correlation suggested that drug use was the main reason of inhibition deficits. fMRI results mainly focused on the ANOVA analysis for group difference. First, there was no intensity difference in M1 and SMA brain areas between the two groups. Second, heroin users had less activation in right dorsalateral prefrontal cortex, right inferior prefrontal cortex and anterior cingulated cortex, while in bilateral striatum and amygdala, heroin users had more activation than control group. The right prefrontal cortex was indentified as the main inhibition brain area. The anterior cingulated cortex has relationship with erro monitoring and amygdale was an important brain area for impulsivity and emotion control. The network of these brain areas was envovled in impulsivity and inhibition and it was suggested the mainly damaged network for heroin users’ disinhibition. We also investigated the gray matter changes of heroin users and found that chonic heroin use made their gray matter density decreased in prefrontal cortex (including bilateral dorsalateral prefrontal cortex, obital frontal cortex, inferior prefrontal cortex) and anterior cingulated cortex. The gray matter density in these brain regions had negative correlation with drug use duration. In conclusion, we indentified the disinhibition of heroin users and its neuro mechanism. Their compulsivity brain areas had more activation than control group and their inhibition brain areas had less activation than normal control. On the other side, the biological mechanism of this activation changes was the gray matter density decrease in these brain areas.

A Dopamine-Acetylcholine Cascade: Simulating Learned and Lesion-Induced Behavior ff Striatal Cholinergic Interneurons

The "teaching signal" that modulates reinforcement learning at cortico-striatal synapses may be a sequence composed of an adaptively scaled DA burst, a brief ACh burst, and a scaled ACh pause. Such an interpretation is consistent with recent data on cholinergic interneurons of the striatum are tonically active neurons (TANs) that respond with characteristic pauses to novel events and to appetitive and aversive conditioned stimuli. Fluctuations in acetylcholine release by TANs modulate performance- and learning- related dynamics in the striatum. Whereas tonic activity emerges from intrinsic properties of these neurons, glutamatergic inputs from thalamic centromedian-parafascicular nuclei, and dopaminergic inputs from midbrain are required for the generation of pause responses. No prior computational models encompass both intrinsic and synaptically-gated dynamics. We present a mathematical model that robustly accounts for behavior-related electrophysiological properties of TANs in terms of their intrinsic physiological properties and known afferents. In the model balanced intrinsic hyperpolarizing and depolarizing currents engender tonic firing, and glutamatergic inputs from thalamus (and cortex) both directly excite and indirectly inhibit TANs. If the latter inhibition, probably mediated by GABAergic NOS interneurons, exceeds a threshold, its effect is amplified by a KIR current to generate a prolongued pause. In the model, the intrinsic mechanisms and external inputs are both modulated by learning-dependent dopamine (DA) signals and our simulations revealed that many learning-dependent behaviors of TANs are explicable without recourse to learning-dependent changes in synapses onto TANs.

A Local Circuit Model of Learned Straitial and Dopamine Cell Responses under Probabilistic Schedules of Reward

Before choosing, it helps to know both the expected value signaled by a predictive cue and the associated uncertainty that the reward will be forthcoming. Recently, Fiorillo et al. (2003) found the dopamine (DA) neurons of the SNc exhibit sustained responses related to the uncertainty that a cure will be followed by reward, in addition to phasic responses related to reward prediction errors (RPEs). This suggests that cue-dependent anticipations of the timing, magnitude, and uncertainty of rewards are learned and reflected in components of the DA signals broadcast by SNc neurons. What is the minimal local circuit model that can explain such multifaceted reward-related learning? A new computational model shows how learned uncertainty responses emerge robustly on single trial along with phasic RPE responses, such that both types of DA responses exhibit the empirically observed dependence on conditional probability, expected value of reward, and time since onset of the reward-predicting cue. The model includes three major pathways for computing: immediate expected values of cures, timed predictions of reward magnitudes (and RPEs), and the uncertainty associated with these predictions. The first two model pathways refine those previously modeled by Brown et al. (1999). A third, newly modeled, pathway is formed by medium spiny projection neurons (MSPNs) of the matrix compartment of the striatum, whose axons co-release GABA and a neuropeptide, substance P, both at synapses with GABAergic neurons in the SNr and with the dendrites (in SNr) of DA neurons whose somas are in ventral SNc. Co-release enables efficient computation of sustained DA uncertainty responses that are a non-monotonic function of the conditonal probability that a reward will follow the cue. The new model's incorporation of a striatal microcircuit allowed it to reveals that variability in striatal cholinergic transmission can explain observed difference, between monkeys, in the amplitutude of the non-monotonic uncertainty function. Involvement of matriceal MSPNs and striatal cholinergic transmission implpies a relation between uncertainty in the cue-reward contigency and action-selection functions of the basal ganglia. The model synthesizes anatomical, electrophysiological and behavioral data regarding the midbrain DA system in a novel way, by relating the ability to compute uncertainty, in parallel with other aspects of reward contingencies, to the unique distribution of SP inputs in ventral SN.