Temporally patterned pulse trains affect directional sensitivity of inferior collicular neurons of the big brown bat, Eptesicus fuscus

The directional sensitivity of inferior collicular neurons of the big brown bat, Eptesicus fuscus, was studied under free field stimulation conditions with 3 temporally patterned trains of sound pulses which differed in pulse repetition rate and duration. The directional sensitivity curves of 92 neurons studied can be described as hemifield, directionally-selective, or non-directional according to the variation in the number of impulses with pulse train direction. When these neurons were stimulated with all 3 pulse trains, the directional sensitivity curves of 50 neurons was unchanged but that of the other 42 neurons changed from one type into another. When these pulse trains were delivered at high pulse repetition rate and short pulse duration, they significantly sharpened the directional sensitivity of two thirds of the neurons examined by reducing the angular range and increasing the slope of their impulse directional sensitivity curves. These pulse trains also sharpened the slope of the threshold directional sensitivity curves of 25 neurons studied. However, when directional sensitivity of collicular neurons was determined with pulse trains that differed only in pulse repetition rate or in pulse duration, significant sharpening of directional sensitivity was rarely observed in all experimental conditions tested. Possible mechanisms underlying these findings are discussed.     

Mitochondria mediated cell death in diabetes

Mitochondrial dysfunction plays a role in the pathogenesis of a wide range of diseases that involve disordered cellular fuel metabolism and survival/death pathways, including neurodegenerative diseases, cancer and diabetes. Cytokine, virus recognition and cellular stress pathways converging on mitochondria cause apoptotic and/or necrotic cell death of β-cells in type-1 diabetes. Moreover, since mitochondria generate crucial metabolic signals for glucose stimulated insulin secretion (GSIS), mitochondrial dysfunction underlies both the functional derangement of GSIS and (over-nutrition) stress-induced apoptotic/necrotic β-cell death, hallmarks of type-2 diabetes. The apparently distinct mechanisms governing β-cell life/death decisions during the development of diabetes provide a remarkable example where remote metabolic, immune and stress signalling meet with mitochondria mediated apoptotic/necrotic death pathways to determine the fate of the β-cell. We summarize the main findings supporting such a pivotal role of mitochondria in β-cell death in the context of current trends in diabetes research.     

The role of autophagy in pancreatic β-cell and diabetes

Pancreatic β-cells play a key role in glucose homeostasis in mammals. Although large-scale protein synthesis and degradation occur in pancreatic β-cells, the mechanism underlying dynamic protein turnover in β-cells remains largely unknown. We found low-level constitutive autophagy in β-cells of C57BL/6 mice fed a standard diet; however, autophagy was markedly upregulated in mice fed a high-fat diet. β-cells of diabetic db/db mice contained large numbers of autophagosomes, compared with non-diabetic db/misty controls. The functional importance of autophagy was analyzed using β-cell-specific Atg7 knockout mice. Autophagy-deficient mice showed degeneration of β-cells and impaired glucose tolerance with reduced insulin secretion. While a high-fat diet stimulated β-cell autophagy in control mice, it induced a profound deterioration of glucose intolerance in β-cell autophagy-deficient mutants, partly because of the lack of a compensatory increase in β-cell mass. These results suggest that the degradation of unnecessary cellular components by autophagy is essential for maintenance of the architecture and function of β-cells. Autophagy also serves as a crucial element of stress responses to protect β-cells under insulin resistant states. Impairment of autophagic machinery could thus predispose individuals to type 2 diabetes.     

Intrinsic Islet Heterogeneity and Gap Junction Coupling Determine Spatiotemporal Ca2+ Wave Dynamics

Insulin is released from the islets of Langerhans in discrete pulses that are linked to synchronized oscillations of intracellular free calcium ([Ca²⁺]_i). Associated with each synchronized oscillation is a propagating calcium wave mediated by Connexin36 (Cx36) gap junctions. A computational islet model predicted that waves emerge due to heterogeneity in β-cell function throughout the islet. To test this, we applied defined patterns of glucose stimulation across the islet using a microfluidic device and measured how these perturbations affect calcium wave propagation. We further investigated how gap junction coupling regulates spatiotemporal [Ca²⁺]_i dynamics in the face of heterogeneous glucose stimulation. Calcium waves were found to originate in regions of the islet having elevated excitability, and this heterogeneity is an intrinsic property of islet β-cells. The extent of [Ca²⁺]_i elevation across the islet in the presence of heterogeneity is gap-junction dependent, which reveals a glucose dependence of gap junction coupling. To better describe these observations, we had to modify the computational islet model to consider the electrochemical gradient between neighboring β-cells. These results reveal how the spatiotemporal [Ca²⁺]_i dynamics of the islet depend on β-cell heterogeneity and cell-cell coupling, and are important for understanding the regulation of coordinated insulin release across the islet.     

Integrative Neurophysiology of the Lobster Cardiac Ganglion

The synchronized bursts of impulses produced by the nine neuronsof the isolated Homarus cardiac ganglion are usually initiatedby Cell 7. Activity in all other cells commences with very shortlatency thereafter. Impulses in most cells originate in triggerzones located 1–2 mm from the cell body, but the firstseveral impulses in Cells 8 and 9 frequently originate in distaltrigger zones some distance from the somata. Large cells fireat a high initial frequency, dropping rapidly to a low frequencyplateau. Small cells exhibit a more tonic behavior and fireat intermediate rates. More anterior small cells tend to firefaster than more posterior ones. The major synaptic interactionsare the impulse-mediated excitatory ones from small cells tolarge cells, and possibly to more anterior small cells. Thereare weak interactions from large cells back onto small cells,and very specific interactions from Cells 1 and 2 onto 3_A, 4_A,5_A, and 3_B 4_B 5_B respectively. The large discrete EPSPs generatedin large cells by small cell impulses appear to be the explanationfor "discrete positioning" in large-cell firing patterns. Inthis situation, large-cell impulses only fire at discrete timesduring the burst, regardless of the actual large-cell pattern. The overall view is of a two-layered neural system in whichthe small cells possess an endogenous oscillatory driver potential,synchronized by synaptic and electrotonic interactions, anddriving a train of impulses in each cell. This activates excitatorysynapses on the large cells, which combined with a triggereddriver potential in each large cell, produces synchronized trainsof motor impulses which activate the heart muscle, causing theheartbeat.     

The Evolution of Parasite Recognition Genes in the Innate Immune System: Purifying Selection on <Emphasis Type="Italic">Drosophila melanogaster</Emphasis> Peptidoglycan Recognition Proteins

Genes involved in the recognition of parasites by the acquired immune system are often subject to intense selection pressures. In some cases, selection to recognize a diverse range of parasites has resulted in high levels of polymorphism, while elsewhere the protein sequence has changed rapidly under directional selection. We tested whether parasite recognition genes in the innate immune system show similar patterns of evolution. We sequenced seven peptidoglycan recognition protein genes (PGRPs) from 12 lines of Drosophila melanogaster and one line of D. simulans and used a variety of tests to determine whether the observed mutations were selectively neutral. We were unable to detect either balancing or directional selection. This suggests that the molecular cues used by insects to detect parasites are highly conserved and probably under strong functional constraints which prevent their evolving to evade the host immune response. Therefore, interactions between these genes are unlikely to be the focus of host–parasite coevolution, at least in Drosophila. We also found evidence of gene conversion occurring between two genes, PGRP-SC1A and PGRP-SC1B.     

The pancreatic -cell recognition of insulin secretagogues. II. Site of action of tolbutamide

The distribution of ³⁵S-labelled tolbutamide was studied in microdissected pancreatic islets of obese-hyperglycemic mice. These islets contain more than 90 % β-cells. A comparison with the uptake of ³H-labelled sucrose, mannitol, or 3-O-methyl-D-glucose revealed that tolbutamide did not enter the β-cells but was restricted to the extracellular space. It is suggested that the β-cell plasma membrane contains a tolbutamide receptor, which is responsible for the recognition of sulfonylureas as insulin secretagogues.     

Rigorous and extended application of information theory to the afferent visual system of the cat

1. Intracellular recording were obtained from P-cells of the LGN of the cat. The impulse trains of a single presynaptic retinal ganglion cell and the postsynaptic P-cell were separated by band-pass-filtering and subsequent amplitude discrimination.
2. The rates of information and transinformation for the visual channel from the eye to a ganglion cell and to the connected P-cell were calculated. Input signals to the channel were trains of light flashes of different rate, luminance and spatial distribution.
3. Transinformation was calculated without restrictive assumptions for the code.
4. The transient behaviour of the system in response to a flash was fully considered for information calculations. Additionally, it was ensured that the state of the (adaptive) channel was considered correctly.
5. Information theory was applied in an extended way. The time courses of information transfer were calculated for various flash stimuli and compared with each other.

     

AFM force spectroscopy reveals how subtle structural differences affect the interaction strength between Candida albicans and DC‐SIGN

The fungus Candida albicans is the most common cause of mycotic infections in immunocompromised hosts. Little is known about the initial interactions between Candida and immune cell receptors, such as the C‐type lectin dendritic cell‐specific intracellular cell adhesion molecule‐3 (ICAM‐3)‐grabbing non‐integrin (DC‐SIGN), because a detailed characterization at the structural level is lacking. DC‐SIGN recognizes specific Candida‐associated molecular patterns, that is, mannan structures present in the cell wall of Candida. The molecular recognition mechanism is however poorly understood. We postulated that small differences in mannan‐branching may result in considerable differences in the binding affinity. Here, we exploit atomic force microscope‐based dynamic force spectroscopy with single Candida cells to gain better insight in the carbohydrate recognition capacity of DC‐SIGN. We demonstrate that slight differences in the N‐mannan structure of Candida, that is, the absence or presence of a phosphomannan side chain, results in differences in the recognition by DC‐SIGN as follows: (i) it contributes to the compliance of the outer cell wall of Candida, and (ii) its presence results in a higher binding energy of 1.6 k_BT. The single‐bond affinity of tetrameric DC‐SIGN for wild‐type C. albicans is ~10.7 k_BT and a dissociation constant k_D of 23 μM, which is relatively strong compared with other carbohydrate–protein interactions described in the literature. In conclusion, this study shows that DC‐SIGN specifically recognizes mannan patterns on C. albicans with high affinity. Knowledge on the binding pocket of DC‐SIGN and its pathogenic ligands will lead to a better understanding of how fungal‐associated carbohydrate structures are recognized by receptors of the immune system and can ultimately contribute to the development of new anti‐fungal drugs. Copyright © 2015 John Wiley & Sons, Ltd.     

A model for generalization and specification by single neurons

A rule for environmentally dependent modification of the neuronal state is examined. Under the rule, the neuron selects a trigger feature that matches either a particular pattern in the stimulus set, or the most common pattern component, depending on a certain parameter. Thus a neuron may evolve to respond to its stimulus environment in one of two capacities, namely specification or generalization. Neurons of the former variety are labelled S-cells; and those of the latter, G-cells. In the model, synaptic modification is modulated by two postsynaptic mechanisms which act antagonistically to strengthen or weaken the synaptic connectivities. The functional dependence of these mechanisms on the postsynaptic activity is shown to determine whether the neuron acts as an S-cell or a G-cell. A circuit is proposed for a module that consists of a G-cell and several S-cells sharing a common set of inputs. By inhibiting the G-cells, the S-cell acts as a contrast-enhancing element, increasing their specificities for individual patterns in the stimulus set. The output from the module is a recoded representation of the environment with respect to its general and distinctive features.This work was supported in part by United States Office of Naval Research Contract N00014-81-K-0136     

Recognition and tracking of impulse patterns with delay adaptation in biology-inspired pulse processing neural net (BPN) hardware

The application of an electronic real time emulator for biology-inspired pulse processing neural networks (BPN) to recognition and temporal tracking of discrete impulse patterns via delay adaptation is demonstrated. The electronic emulation includes biologically plausible features, such as asynchronous impulses, membrane potentials and adaptive weights, as well as a mechanism to modify signal delays. The rule for the adaptation of impulse propagation delays is as follows: error neurons detect temporal differences between single impulses of other neurons and adjust corresponding signal delay parameters. In the application presented BPN adapts its time delays in order to form a finely tuned match with a given sequence of three discrete impulses. After learning, BPN is capable not only of highly selective recognition of the learned impulse pattern but also of tracking a gradually changing impulse pattern. Tracking is achieved by continuously re-adjusting the delay profile. Delay adaptation (rather than weight adaptation) appears to be the more effective mechanism for such applications.     

Inhibition of the receptor for advanced glycation endproducts (RAGE) protects pancreatic β-cells

Advanced glycation endproducts (AGEs) and the receptor for AGEs (RAGE) have been linked to the pathogenesis of diabetic complications, such as retinopathy, neuropathy, and nephropathy. AGEs may induce β-cell dysfunction and apoptosis, another complication of diabetes. However, the role of AGE-RAGE interaction in AGE-induced pancreatic β-cell failure has not been fully elucidated. In this study, we investigated whether AGE–RAGE interaction could mediate β-cell failure. We explored the potential mechanisms in insulin secreting (INS-1) cells from a pancreatic β-cell line, as well as primary rat islets. We found that glycated serum (GS) induced apoptosis in pancreatic β-cells in a dose- and time-dependent manner. Treatment with GS increased RAGE protein production in cultured INS-1 cells. GS treatment also decreased bcl-2 gene expression, followed by mitochondrial swelling, increased cytochrome c release, and caspase activation. RAGE antibody and knockdown of RAGE reversed the β-cell apoptosis and bcl-2 expression. Inhibition of RAGE prevented AGE-induced pancreatic β-cell apoptosis, but could not restore the function of glucose stimulated insulin secretion (GSIS) in rat islets. In summary, the results of the present study demonstrate that AGEs are integrally involved in RAGE-mediated apoptosis and impaired GSIS dysfunction in pancreatic β-cells. Inhibition of RAGE can effectively protect β-cells against AGE-induced apoptosis, but cannot reverse islet dysfunction in GSIS.     

Absence of spontaneous regeneration of endogenous pancreatic β-cells after chemical-induced diabetes and no effect of GABA on α-to-β cell transdifferentiation in rhesus monkeys

β-cell deficiency is common feature of type 1 and late-stage of type 2 diabetes mellitus. Thus, β?cell replacement therapy has been the focus of regenerative medicine past several decades. Particularly, evidences suggest that β?cell regeneration via transdifferentiation from sources including α-cells is promising. However, data using higher mammals besides rodents are scarce. Here, we examined whether endogenous pancreatic β-cells could regenerate spontaneously or under normoglycemia following porcine islet transplantation for varied periods up to 1197 days after streptozotocin-induced diabetes, and remaining α-cells transdifferentiate into β-cells by GABA treatment in vivo and in vitro. The results showed that endogenous β-cells rarely regenerate in both conditions as evidenced by stagnant serum C-peptide levels and β-cell number in the pancreas, and the remaining α-cells did not transdifferentiate into β-cells by GABA treatment. Collectively, we concluded that monkey β-cells had relatively low regenerative potential compared with rodent counterpart and GABA treatment could not induce α-to-β-cell transdifferentitation.     

Exploring Functional β-Cell Heterogeneity In Vivo Using PSA-NCAM as a Specific Marker

Background

The mass of pancreatic β-cells varies according to increases in insulin demand. It is hypothesized that functionally heterogeneous β-cell subpopulations take part in this process. Here we characterized two functionally distinct groups of β-cells and investigated their physiological relevance in increased insulin demand conditions in rats.

Methods

Two rat β-cell populations were sorted by FACS according to their PSA-NCAM surface expression, i.e. β^high and β^low-cells. Insulin release, Ca²⁺ movements, ATP and cAMP contents in response to various secretagogues were analyzed. Gene expression profiles and exocytosis machinery were also investigated. In a second part, β^high and β^low-cell distribution and functionality were investigated in animal models with decreased or increased β-cell function: the Zucker Diabetic Fatty rat and the 48 h glucose-infused rat.

Results

We show that β-cells are heterogeneous for PSA-NCAM in rat pancreas. Unlike β^low-cells, β^high-cells express functional β-cell markers and are highly responsive to various insulin secretagogues. Whereas β^low-cells represent the main population in diabetic pancreas, an increase in β^high-cells is associated with gain of function that follows sustained glucose overload.

Conclusion

Our data show that a functional heterogeneity of β-cells, assessed by PSA-NCAM surface expression, exists in vivo. These findings pinpoint new target populations involved in endocrine pancreas plasticity and in β-cell defects in type 2 diabetes.     

Human allospecific TLCs generated against HLA antigens associated with DR1 through DRw8

Serologic, cellular, and molecular evidence supports the concept of extreme complexity within the HLA-D region. To study the complexity and fine specificity of the HLA-D region at the level of T -cell recognition, a panel of T-cell clones was generated against alloantigens associated with HLA-DRI through -DRw8. After initial screening of more than 800 clones, 89 representative lines were selected for extensive testing against 204 unrelated stimulator cells. Clone-by-clone correlation analyses were performed to test whether any clones recognized similar or identical epitopes. In addition, clonal reactivity patterns were correlated with known HLA specificities. Twelve clusters of clones were identified with similar reactivity patterns using clone-by-clone correlation analysis. Some groups were significantly correlated with specificities associated with various D-region haplotypes; others had no significant correlation with any defined D-region specificity. Five general types of clones obtained in our study can be categorized as follows: (1) Those recognizing epitopes clearly demonstrating a primary association with the classically defined D-region molecules against which the clones were primed. (2) Clones recognizing epitopes associated with one of the priming antigens and also with another unrelated D-region specificity. (3) Clones detecting epitopes which showed significant correlation with D-region molecules totally different from those against which they were originally primed. (4) Clones with limited reactivity in population studies and no correlation with defined D-region molecules. (5) Clones recognizing class I-associated epitopes.Abbreviations used in this paper cpm counts per minute - DNV double normalized value - EBV Epstein-Barr virus - FCS fetal calf serum - HLA human MHC - HTC homozygous typing cell - LCL lymphoblastoid cell line - MHC major histocompatibility complex - MLC mixed lymphocyte culture - MoAB monoclonal antibody - PLT primed lymphocyte typing - T-max maximized T test - TCGF T-cell growth factor - TLC T-lymphocyte clone     

Expression of K-Cl cotransporters in the α-cells of rat endocrine pancreas

The expression of K⁺-Cl⁻ cotransporters (KCC) was examined in pancreatic islet cells. mRNA for KCC1, KCC3a, KCC3b and KCC4 were identified by RT-PCR in islets isolated from rat pancreas. In immunocytochemical studies, an antibody specific for KCC1 and KCC4 revealed the expression of KCC protein in α-cells, but not pancreatic β-cells nor δ-cells. A second antibody which does not discriminate among KCC isoforms identified KCC expression in both α-cell and β-cells. Exposure of isolated α-cells to hypotonic solutions caused cell swelling was followed by a regulatory volume decrease (RVD). The RVD was blocked by 10 μM [dihydroindenyl-oxy] alkanoic acid (DIOA; a KCC inhibitor). DIOA was without effect on the RVD in β-cells. NEM (0.2 mM), a KCC activator, caused a significant decrease of α-cell volume, which was completely inhibited by DIOA. By contrast, NEM had no effects on β-cell volume. In conclusion, KCCs are expressed in pancreatic α-cells and β-cells. However, they make a significant contribution to volume homeostasis only in α-cells.     

Modelling the Electrical Activity of Pancreatic α-cells Based on Experimental Data from Intact Mouse Islets

Detailed experimental data from patch clamp experiments on pancreatic α-cells in intact mouse islets are used to model the electrical activity associated with glucagon secretion. Our model incorporates L- and T-type Ca²⁺ currents, delayed rectifying and A-type K⁺ currents, a voltage-gated Na⁺ current, a KATP conductance, and an unspecific leak current. Tolbutamide closes KATP channels in the α-cell, leading to a reduction of the resting conductance from 1.1 nS to 0.4 nS. This causes the α-cell to depolarise from −76 mV to 33 mV. When the basal membrane potential passes the range between −60 and −35 mV, the α-cell generates action potentials. At higher voltages, the α-cell enters a stable depolarised state and the electrical activity ceases. The effects of tolbutamide are simulated by gradually reducing the KATP conductance (g _K,ATP ) from 500 pS to 0 pS. When g _K,ATP is between 72 nS and 303 nS, the model generates action potentials in the same voltage range as the α-cell. When g _K,ATP is lower than 72 nS, the model enters a stable depolarised state, and firing of action potentials is inhibited due to voltage-dependent inactivation of the Na⁺ and T-type Ca²⁺ currents. This is in accordance with experimental results. Changing the inactivation parameters to those observed in somatostatin-secreting δ-cells abolishes the depolarised inactive state, and leads to β-cell like electrical activity with action potentials generated even after complete closure of the KATP channels.     

Dnmt1 activity is dispensable in δ-cells but is essential for α-cell homeostasis

In addition to β-cells, pancreatic islets contain α- and δ-cells, which respectively produce glucagon and somatostatin. The reprogramming of these two endocrine cell types into insulin producers, as observed after a massive β-cell ablation in mice, may help restoring a functional β-cell mass in type 1 diabetes. Yet, the spontaneous α-to-β and δ-to-β conversion processes are relatively inefficient in adult animals and the underlying epigenetic mechanisms remain unclear. Several studies indicate that the conserved chromatin modifiers DNA methyltransferase 1 (Dnmt1) and Enhancer of zeste homolog 2 (Ezh2) are important for pancreas development and restrict islet cell plasticity. Here, to investigate the role of these two enzymes in α- and δ-cell development and fate maintenance, we genetically inactivated them in each of these two cell types. We found that loss of Dnmt1 does not enhance the conversion of α- or δ-cells toward a β-like fate. In addition, while Dnmt1 was dispensable for the development of these two cell types, we noticed a gradual loss of α-, but not δ-cells in adult mice. Finally, we found that Ezh2 inactivation does not enhance α-cell plasticity, and, contrary to what is observed in β-cells, does not impair α-cell proliferation. Our results indicate that both Dnmt1 and Ezh2 play distinct roles in the different islet cell types.     

Nkx6.1 and nkx6.2 regulate α- and β-cell formation in zebrafish by acting on pancreatic endocrine progenitor cells

In mice, the Nkx6 genes are crucial to α- and β-cell differentiation, but the molecular mechanisms by which they regulate pancreatic subtype specification remain elusive. Here it is shown that in zebrafish, nkx6.1 and nkx6.2 are co-expressed at early stages in the first pancreatic endocrine progenitors, but that their expression domains gradually segregate into different layers, nkx6.1 being expressed ventrally with respect to the forming islet while nkx6.2 is expressed mainly in β-cells. Knockdown of nkx6.2 or nkx6.1 expression leads to nearly complete loss of α-cells but has no effect on β-, δ-, or ε-cells. In contrast, nkx6.1/nkx6.2 double knockdown leads additionally to a drastic reduction of β-cells. Synergy between the effects of nkx6.1 and nkx6.2 knockdown on both β- and α-cell differentiation suggests that nkx6.1 and nkx6.2 have the same biological activity, the required total nkx6 threshold being higher for α-cell than for β-cell differentiation. Finally, we demonstrate that the nkx6 act on the establishment of the pancreatic endocrine progenitor pool whose size is correlated with the total nkx6 expression level. On the basis of our data, we propose a model in which nkx6.1 and nkx6.2, by allowing the establishment of the endocrine progenitor pool, control α- and β-cell differentiation.