Disregulation in TH1 and TH2 subsets of CD4+ T cells in peripheral blood of colorectal cancer patients and involvement in cancer establishment and progression

 Recent theories have established that, during an ongoing immune response, the lymphokines produced by TH1 and TH2 subsets of CD4⁺ T cells are critical to the effectiveness of that response. In vivo and in vitro studies have demonstrated that the type of environmental cytokines plays a determinant role in directing the development of naive T cells into TH1 or TH2 effector cells. Disregulated expansion of one or other subset may contribute to the development of certain diseases. To establish whether a similar situation might exist in the cells of the peripheral blood (PBMC) of colorectal cancer patients, we have performed immunological studies on a group of patients and a group of healthy subjects. We examined the interleukin-2 (IL-2), interferon γ (IFNγ), IL-4, IL-6 and tumour necrosis factor α levels in serum; the production of IL-4 and IL-2, with and without activating agents, by PBMC, tumour-draining lymph node lymphocytes and tumour cells; and the proliferative response of PBMC to IL-2, IL-4 and anti-CD3 monoclonal antibody (anti-CD3), which were variously combined. The data of the present study lead us to hypothesize that, because of suppressive effects probably due to environmental IL-4, in the peripheral blood of patients there seems to be a disregulation in the functionality of TH1 and TH2 subsets of CD4⁺ T cells, with an expansion in TH2 and a malfunction in TH1 cells. Moreover it seems that this disregulation increases with as the disease progresses through the stages, suggesting that it can be directly implicated in the mechanisms that allow the tumour to locate and progress in the host. Received: 27 June 1995 / Accepted: 13 November 1995     

Multichain structure of the IFN-alpha receptor on hematopoietic cells.

The structure of IFN-alpha receptor was studied by 1) developing antibodies against the receptor, and 2) screening a number of cell lines by affinity cross-linking to identify cells that express different IFN-alpha 2 receptor structures. We report that two different patterns of IFN-alpha 2 receptor are observed in human cells of hematopoietic origin. The predominant form of the IFN-alpha receptor is a multichain structure in which IFN-alpha 2 forms complexes of 110 and 130 kDa (alpha-subunit). A high Mr complex of 210 kDa results from the association of alpha-subunit and other receptor components. In contrast, another form of the receptor has been identified in the IFN-alpha-resistant U-937 cell line and in some cases of acute leukemia. This form of the IFN-alpha receptor is characterized by the presence of the alpha- subunit, and the absence of the 110- and 210-kDa bands. Also a novel 180-kDa complex and a more prominent 75-kDa band are observed. Functional studies performed in U-937 cells showed that this cell line is not only partially resistant to the antiproliferative and antiviral effects of IFN-alpha, but also fails to down-regulate the alpha-subunit of the IFN-alpha receptor upon IFN-alpha binding.     

Template assisted self-organized chemosensors

The self-organization of fluorescent dyes and receptors on a proper template to form an organized assembly is a new strategy for the realization of fluorescence chemosensors. In the assembly, the two subunits do not interact directly and the communication between the bound substrate and the dye is only determined by their spatial closeness ensured by the template. The method is simple and the main advantages are related to the minimization of the synthetic work, the ease of modification and optimization of the sensor, the possibility to tune its properties by the simple adjustment of the components ratio. Self-organizing methodologies can open new perspectives to fluorescence chemosensors, both by allowing a simplified preparation and by opening the way to new and more complex functions. This article deals with this new approach and discusses its evolution, applications, and limitations.     

Porphyrogenic effects and induction of heme oxygenase in vivo by δ-aminolevulinic acid

The effects of single large doses of the porphyrin-heme precursor ?d-aminolevulinic acid on tissue porphyrins and on δ-aminolevulinate synthase and heme oxygenase, the rate-living enzymes of liver heme synthesis and degradation respectively, were studied in the chick embryo in ovo, in the mouse and in the rat. δ-Aminolevulinic acid treatment produced a distinctive pattern characterized by extensive tissue porphyrin accumulation and alterations in these rate-limiting enzymes in the liver. Repression of basal or allylisopropylacetamide-induced liver δ-aminolevulinate synthase was observed and, in the mouse and the rat, induction of liver heme oxygenase after δ-aminolevulinic acid treatment, in a manner similar to the known effects of hemin on these enzymes. In the chick embryo liver in ovo heme oxygenase was substantially higher than in rat and mouse liver, and was not significantly induced by δ-aminolevulinic acid or other compounds, including hemin, CS₂ and CoCl₂. Levulinic acid, an analogue of δ-aminolevulinic acid, did not induce heme oxygenase in mouse liver. δ-Aminolevunilic acid treatment did not impair ferrochelatase activity but was associated with slight and variable decreases in liver cytochrome P-450. Treatment of chick embryos with a small ‘priming’ dose of 1,4-dihydro-3,5-dicarbethoxycollidine, which impairs liver ferrochelatase activity, accentuated porphyrin accumulation after δ-aminolevulinic acid in the liver. These observations indicate that exogenous δ-aminolevulinic acid is metabolized to porphyrins in a number of tissues and, at least in the liver, to a physiologically significant amount of heme, thereby producing an increase in the size of one or more of the heme pools that regulate both heme systhesis and degradation. It is also possible than when δ-aminolevulinic acid is markedly overproduced in vivo it may be transported to many tissues and re-enter the heme pathway and alter porphyrin-heme metabolism in cells and tissues other than those in which its overproduction primarily occurs.     

Measuring Symmetry,Asymmetry and Randomness in Neural Network Connectivity

Cognitive functions are stored in the connectome, the wiring diagram of the brain, which exhibits non-random features, so-called motifs. In this work, we focus on bidirectional, symmetric motifs, i.e. two neurons that project to each other via connections of equal strength, and unidirectional, non-symmetric motifs, i.e. within a pair of neurons only one neuron projects to the other. We hypothesise that such motifs have been shaped via activity dependent synaptic plasticity processes. As a consequence, learning moves the distribution of the synaptic connections away from randomness. Our aim is to provide a global, macroscopic, single parameter characterisation of the statistical occurrence of bidirectional and unidirectional motifs. To this end we define a symmetry measure that does not require any a priori thresholding of the weights or knowledge of their maximal value. We calculate its mean and variance for random uniform or Gaussian distributions, which allows us to introduce a confidence measure of how significantly symmetric or asymmetric a specific configuration is, i.e. how likely it is that the configuration is the result of chance. We demonstrate the discriminatory power of our symmetry measure by inspecting the eigenvalues of different types of connectivity matrices. We show that a Gaussian weight distribution biases the connectivity motifs to more symmetric configurations than a uniform distribution and that introducing a random synaptic pruning, mimicking developmental regulation in synaptogenesis, biases the connectivity motifs to more asymmetric configurations, regardless of the distribution. We expect that our work will benefit the computational modelling community, by providing a systematic way to characterise symmetry and asymmetry in network structures. Further, our symmetry measure will be of use to electrophysiologists that investigate symmetry of network connectivity.