The effect of obesity-related allostatic changes on cardio-metabolic risk in euthyroid children.

PURPOSE: The hormonal thyroid changes related to obesity, even when in the euthyroid state, may contribute to the unfavorable cardio-metabolic profile of obese patients. In this retrospective study, we aim to investigate the biochemical thyroid changes and the association between serum TSH, FT4, FT3 and cardio-metabolic risk factors in euthyroid obese youths. METHODS: Four hundred ninety-one Caucasian euthyroid obese children and adolescents aged 9.93 ± 2.90 years were recruited. Each patient underwent clinical and auxological examination and laboratory workup including an OGTT and the measurement of thyroid function and lipid profile. Homeostasis model assessment of insulin resistance (HOMA-IR), triglyceride to high-density lipoprotein cholesterol ratio, total cholesterol to HDL ratio, atherogenic index of plasma, insulinogenic index, area under the glucose and insulin curves were calculated. RESULTS: We found that TSH was positively correlated with BMI-SDS values and significantly associated with hypercholesterolemia and hyperinsulinemia; FT4 resulted negatively correlated with BMI-SDS; FT3 was positively correlated with BMI-SDS and the area under the curve of insulin and negatively correlated with HDL. FT3 and FT4 resulted significantly associated with severe obesity. In addition, children with high-normal TSH values showed higher triglyceride to high-density lipoprotein cholesterol ratio values than those with normal TSH levels. CONCLUSIONS: Our data showed that thyroid hormones could influence obesity, lipid and glycemic parameters in euthyroid youths. These findings could carry implications regarding optimal TSH levels in obese children and confirm the importance of evaluating the thyroid function as possible adjunctive cardio-metabolic risk factor related to obesity.

Abnormal brain responses to social fairness in depression: an fMRI study using the Ultimatum Game.

BACKGROUND: Depression is a prevalent disorder that significantly affects the social functioning and interpersonal relationships of individuals. This highlights the need for investigation of the neural mechanisms underlying these social difficulties. Investigation of social exchanges has traditionally been challenging as such interactions are difficult to quantify. Recently, however, neuroeconomic approaches that combine multiplayer behavioural economic paradigms and neuroimaging have provided a framework to operationalize and quantify the study of social interactions and the associated neural substrates. METHOD: We investigated brain activation using functional magnetic resonance imaging (fMRI) in unmedicated depressed participants (n = 25) and matched healthy controls (n = 25). During scanning, participants played a behavioural economic paradigm, the Ultimatum Game (UG). In this task, participants accept or reject monetary offers from other players. RESULTS: In comparison to controls, depressed participants reported decreased levels of happiness in response to 'fair' offers. With increasing fairness of offers, controls activated the nucleus accumbens and the dorsal caudate, regions that have been reported to process social information and responses to rewards. By contrast, participants with depression failed to activate these regions with increasing fairness, with the lack of nucleus accumbens activation correlating with increased anhedonia symptoms. Depressed participants also showed a diminished response to increasing unfairness of offers in the medial occipital lobe. CONCLUSIONS: Our findings suggest that depressed individuals differ from healthy controls in the neural substrates involved with processing social information. In depression, the nucleus accumbens and dorsal caudate may underlie abnormalities in processing information linked to the fairness and rewarding aspects of other people's decisions.

A cognitive architecture that solves a problem stated by Minsky.

We named "Minsky's problem" the challenge of building up a cognitive architecture able to perform a good diagnosis based on multiple criteria that arrive one by one as successive clues. This is a remarkable human information processing capability, and a desirable ability for an artificial expert system. We present a general cognitive design that solves Minsky's problem and a neural network implementation of it that uses distributed associative memories. The type of architecture we present is based on the interaction between an "attribute-object associator (AOA)" and an "intersection filter (IF)" of successive evoked objects, with the intermediation of a working (short-term) memory.

Analysis of cytokine and specific antibody profiles in hydatid patients with primary infection and relapse of disease.

We studied in vitro cytokine production by peripheral blood mononuclear cells (PBMC) from patients with primary and recurrent hydatid disease when cells were incubated with mitogen (PHA) and antigen from hydatid cyst fluid (HCFAg); levels of specific IgE, IgG4 and eosinophil counts were also measured in sera. When specifically stimulated, PBMC from patients produced higher levels of IL-2 (P < 0.02), IFN-gamma (P < 0.0028) and IL-5 (P < 0.01) than those from uninfected donors, whereas IL-10 levels were comparable. Notably, IL-5 was also produced in higher levels (P < 0.01) by PBMC from patients when incubated with PHA. The IL-5:IFN-gamma ratio was significantly greater (P < 0.02) when measured in response to specific stimulation than it was for PHA-stimulated cultures. These cytokine data suggest a bias towards a Th2-response which is in agreement with the high levels of IgG4 and IgE observed. The polarized response appears to be related to clinical status, as differences between patients with primary infection and those with relapse of disease were demonstrated, with significantly higher levels of IgE (P < 0.003), IgG4 (P < 0.04) titres and eosinophil counts (P < 0.04) in the latter; in addition a tendency to an increased production of IL-5 buy lower IFN-gamma was also observed in this group. These results merit further study as they are suggestive of a putative role of Th2-like responses in susceptibility to reinfection by E. granulosus.

Multiplicative contexts in associative memories.

A system of networks, consisting of a first net that constructs the Kronecker product between two vectors and then sends it to a second net that sustains a correlation memory, defines a context-dependent associative memory. In the real nervous system of higher mammals, the anatomy of the neural connections surely exhibits a considerable amount of local imprecision superimposed on a regular global layout. In order to evaluate the potentialities of the multiplicative devices to constitute plausible biological models, we analyse the performances of a context-dependent memory when the multiplicative net, responsible of the construction of the Kronecker product, presents an incomplete connectivity. Our study shows that a large dimensional system is able to support a considerable amount of incompleteness in the connectivity without a great deterioration of the memory. We establish a scaling relationship between the degree of incompleteness, the capacity of the memory, and the tolerance threshold to imperfections in the output. We then analyse some performances that show the versatility of this kind of network to represent a variety of functions. These functions include a context-modulated novelty filter, a network that computes logical modalities and an adaptive searching device.