Proteolytic modification of human complement protein C9: loss of poly(C9) and circular lesion formation without impairment of function.

We have compared the ability of thrombin-cleaved C9 (C9n) with that of native C9 to produce tubular or ring-like poly(C9) and to express the classical complement lesion on target membranes. Three procedures were used to produce poly(C9): (i) limited proteolysis with trypsin, (ii) interaction with small unilamellar lipid vesicles, and (iii) incubation with a 2- to 4-fold molar excess of ZnCl2. In contrast to C9, which could be converted to tubular poly(C9), C9n was converted to smaller peptides by the first procedure and was aggregated into string-like poly(C9) by the other two methods. C9-depleted human serum (R-9 serum) was reconstituted with either C9 or C9n and these sera were then used to lyse sensitized sheep erythrocytes. Numerous classical complement lesions could be detected on ghost membranes obtained from cells lysed by C9-reconstituted R-9 serum but only a few on ghost membranes produced by C9n-reconstituted R-9 serum. C9n was shown to be hemolytically as active as C9 even when tested under "single-hit" conditions and it was about twice as efficient when compared with C9 in releasing sucrose and inulin from resealed ghosts. These results are interpreted to indicate that formation of the classical complement lesion is only incidental to lysis and not an obligatory event and that enlargement of the "functional pore size" of the complement lesion is not linked to formation of a circular membrane attack complex.     

Birch Pollen Related Pear Allergy: A Single-Blind Oral Challenge TRIAL with 2 Pear Cultivars

Approximately 70% of birch pollen allergic patients in Europe experience hypersensitivity reactions to Immunoglobulin E (IgE) cross-reactive food sources. This so-called pollen-food syndrome (PFS) is defined by allergic symptoms elicited promptly by the ingestion of fruits, nuts, or vegetables in these patients. So far, in the literature, less attention has been given to Bet v 1 cross-reactive symptoms caused by pear (Pyrus communis). In the Netherlands, pears are widely consumed. The primary objective of this study was to measure the type and severity of allergic symptoms during pear challenges in birch pollen allergic patients, with a positive history of pear allergy, using two different pear varieties. Fifteen patients were included, skin prick test (SPT), prick-to-prick test (PTP), specific Immunoglobulin E (sIgE), and single-blind oral challenges were performed with two pear (Pyrus communis) varieties: the ‘Cepuna’ (brand name Migo^®) and the ‘Conference’ pears. All patients were sensitized to one or both pear varieties. A total of 12 out of 15 participants developed symptoms during the ‘Cepuna’ food challenge and 14/15 reacted during the ‘Conference’ challenge. Challenges with the ‘Cepuna’ pears resulted in less objective symptoms (n = 2) in comparison with challenges with ‘Conference’ pears (n = 7). Although we did not find significance between both varieties in our study, we found a high likelihood of fewer and less severe symptoms during the ‘Cepuna’ challenges. Consequently selected pear sensitized patients can try to consume small doses of the ‘Cepuna’ pear outside the birch pollen season.     

Human liver mitochondrial carnitine palmitoyltransferase I: characterization of its cDNA and chromosomal localization and partial analysis of the gene.

Using the cDNA for rat liver mitochondrial carnitine palmitoyltransferase I (CPT I; EC 2.3.1.21) as a probe, we isolated its counterpart as three overlapping clones from a human liver cDNA library. Both the nucleotide sequence of the human cDNA and the predicted primary structure of the protein (773 aa) proved to be very similar to those of the rat enzyme (82% and 88% identity, respectively). The CPT I mRNA size was also found to be the same (approximately 4.7 kb) in both species. Screening of a human genomic library with the newly obtained cDNA yielded a positive clone of approximately 6.5 kb which, upon partial analysis, was found to contain at least two complete exons linked by a 2.3-kb intron. Oligonucleotide primers specific to upstream and downstream regions of one of the exon/intron junctions were tested in PCRs with DNA from a panel of somatic cell hybrids, each containing a single human chromosome. The results allowed unambiguous assignment of the human liver CPT I gene to the q (long) arm of chromosome 11. Additional experiments established that liver and fibroblasts express the same isoform of mitochondrial CPT I, legitimizing the use of fibroblast assays in the differential diagnosis of the "muscle" and "hepatic" forms of CPT deficiency. The data provide insights into the structure of a human CPT I isoform and its corresponding gene and establish unequivocally that CPT I and CPT II are distinct gene products. Availability of the human CPT I cDNA should open the way to an understanding of the genetic basis of inherited CPT I deficiency syndromes, how the liver CPT I gene is regulated, and which tissues other than liver express this particular variant of the enzyme.     

The triple flash electroretinogram and its significance in macular diseases

Purpose: The purpose of this study was to evaluate recovery data for the b-wave of the electroretinogram (ERG) elicited using multiple flash stimulation with increasing stimulus intervals in normal controls and in patients with macular diseases. The results will describe effects of age and macular disease and define indexes characterizing the recovery process. Methods: Scotopic Ganzfeld flash ERGS were elicited using interstimulus intervals of 140, 280, and 560 ms. Relative b-waves were calculated as the ratio b_{140 ms}/ b_{560 ms} and b_{280 ms}/b_{560 ms}, respectively. Responses obtained in 134 eyes of 134 normal controls served as reference data. Fifty-four patients with different macular diseases were also examined and their data compared to the reference data. Results: Relative b-wave amplitudes correlated with interstimulus interval and with flash luminance, but not with age. All patients had a normal ERG when recorded following the standard of clinical electroretinography. A sigmoidal model was suggested, providing three indexes characterizing the b-wave recovery process. Relative b-waves and recovery indexes varied in age-related macular degeneration, central serous retinopathy, vitelliform macular degeneration, Stargardt's disease, and pattern dystrophy. Conclusion: The triple flash ERG reflects energy-yielding and -utilizing mechanisms. It proved to be more sensitive in detecting functional lesions in macular diseases than the standardized explorating procedure. The b-wave recovery model allows differentiation between two independent mechanisms contributing to the b-wave recovery process. One or more of the three characterizing indexes are affected in different macular diseases.     

The cumulative normalised rim/disc area ratio curve

Background: The assessment of the cup of the optic disc depends, among other criteria, on the disc area. A small cup in a small optic disc can indicate an advanced glaucomatous lesion, while on the other hand a large cup in a large optic disc can be normal. Therefore, a cumulative normalised rim/disc area ratio curve could help to distinguish between glaucomatous and normal optic cups. The aim of our study was to calculate and to evaluate such a cumulative normalised rim/disc area ratio curve. Methods: Heidelberg Retina Tomograph examinations of the optic nerve head of 100 randomly selected eyes of 100 normal subjects were evaluated. We calculated the disc area-adjusted normalised rim/disc area ratio in sectors of 10°. The 95th, 90th and 50th percentiles of each of the 36 sectors were displayed in descending order. Results: In relation to the normal percentile curves, it is possible to display an individual normalised rim/disc area ratio curve. We obtained such curves for a normal optic disc, optic nerve heads with moderate and advanced lesions and a small optic disc with glaucomatous damage. Conclusion: We present a new display mode for the results of Heidelberg Retina Tomograph optic nerve head examination, which may be helpful for easy and reliable assessment of the local, diffuse and combined components of glaucomatous optic nerve head damage depending on optic disc size.     

How dysfunctional are Dysfunctional Attitudes? A Threshold Model of Dysfunctional Attitudes and Depressive Symptoms in Children and Adolescents

In order to clarify further the role of Beck’s vulnerability-stress model in the early development of depression, this longitudinal study tested a threshold model of dysfunctional attitudes in children and adolescents. An initially asymptomatic sample of 889 youths aged 9–18 years completed measures of dysfunctional attitudes and depressive symptoms. Twenty months later, participants reported stressful life events and current depressive symptoms. Results support a threshold view of cognitive vulnerability as only dysfunctional attitudes above a certain threshold significantly interacted with life events to predict depressive symptoms. Thus, findings suggest that dysfunctional attitudes must exceed a certain threshold to confer vulnerability to depressive symptomatology in youth. The term “dysfunctional” might therefore only apply to higher levels of the “dysfunctional attitudes” proposed by A. T. Beck. Results also indicate that studies using non-clinical samples may systematically underestimate the effect of dysfunctional attitudes when relying on conventional linear methods.     

From the Cover: Convolutional networks for fast,energy-efficient neuromorphic computing

Deep networks are now able to achieve human-level performance on a broad spectrum of recognition tasks. Independently, neuromorphic computing has now demonstrated unprecedented energy-efficiency through a new chip architecture based on spiking neurons, low precision synapses, and a scalable communication network. Here, we demonstrate that neuromorphic computing, despite its novel architectural primitives, can implement deep convolution networks that (i) approach state-of-the-art classification accuracy across eight standard datasets encompassing vision and speech, (ii) perform inference while preserving the hardware’s underlying energy-efficiency and high throughput, running on the aforementioned datasets at between 1,200 and 2,600 frames/s and using between 25 and 275 mW (effectively >6,000 frames/s per Watt), and (iii) can be specified and trained using backpropagation with the same ease-of-use as contemporary deep learning. This approach allows the algorithmic power of deep learning to be merged with the efficiency of neuromorphic processors, bringing the promise of embedded, intelligent, brain-inspired computing one step closer.The human brain is capable of remarkable acts of perception while consuming very little energy. The dream of brain-inspired computing is to build machines that do the same, requiring high-accuracy algorithms and efficient hardware to run those algorithms. On the algorithm front, building on classic work on backpropagation (1), the neocognitron (2), and convolutional networks (3), deep learning has made great strides in achieving human-level performance on a wide range of recognition tasks (4). On the hardware front, building on foundational work on silicon neural systems (5), neuromorphic computing, using novel architectural primitives, has recently demonstrated hardware capable of running 1 million neurons and 256 million synapses for extremely low power (just 70 mW at real-time operation) (6). Bringing these approaches together holds the promise of a new generation of embedded, real-time systems, but first requires reconciling key differences in the structure and operation between contemporary algorithms and hardware. Here, we introduce and demonstrate an approach we call Eedn, energy-efficient deep neuromorphic networks, which creates convolutional networks whose connections, neurons, and weights have been adapted to run inference tasks on neuromorphic hardware.For structure, typical convolutional networks place no constraints on filter sizes, whereas neuromorphic systems can take advantage of blockwise connectivity that limits filter sizes, thereby saving energy because weights can now be stored in local on-chip memory within dedicated neural cores. Here, we present a convolutional network structure that naturally maps to the efficient connection primitives used in contemporary neuromorphic systems. We enforce this connectivity constraint by partitioning filters into multiple groups and yet maintain network integration by interspersing layers whose filter support region is able to cover incoming features from many groups by using a small topographic size (7).For operation, contemporary convolutional networks typically use high precision ( ≥ 32-bit) neurons and synapses to provide continuous derivatives and support small incremental changes to network state, both formally required for backpropagation-based gradient learning. In comparison, neuromorphic designs can use one-bit spikes to provide event-based computation and communication (consuming energy only when necessary) and can use low-precision synapses to colocate memory with computation (keeping data movement local and avoiding off-chip memory bottlenecks). Here, we demonstrate that by introducing two constraints into the learning rule—binary-valued neurons with approximate derivatives and trinary-valued ({−1,0,1}) synapses—it is possible to adapt backpropagation to create networks directly implementable using energy efficient neuromorphic dynamics. This approach draws inspiration from the spiking neurons and low-precision synapses of the brain (8) and builds on work showing that deep learning can create networks with constrained connectivity (9), low-precision synapses (10, 11), low-precision neurons (12–14), or both low-precision synapses and neurons (15, 16). For input data, we use a first layer to transform multivalued, multichannel input into binary channels using convolution filters that are learned via backpropagation (12, 16) and whose output can be sent on chip in the form of spikes. These binary channels, intuitively akin to independent components (17) learned with supervision, provide a parallel distributed representation to carry out high-fidelity computation without the need for high-precision representation.Critically, we demonstrate that bringing the above innovations together allows us to create networks that approach state-of-the-art accuracy performing inference on eight standard datasets, running on a neuromorphic chip at between 1,200 and 2,600 frames/s (FPS), using between 25 and 275 mW. We further explore how our approach scales by simulating multichip configurations. Ease-of-use is achieved using training tools built from existing, optimized deep learning frameworks (18), with learned parameters mapped to hardware using a high-level deployment language (19). Although we choose the IBM TrueNorth chip (6) for our example deployment platform, the essence of our constructions can apply to other emerging neuromorphic approaches (20–23) and may lead to new architectures that incorporate deep learning and efficient hardware primitives from the ground up.     

Early Breastfeeding Cessation Among HIV-Infected and HIV-Uninfected Women in Western Cape Province,South Africa

As part of the Mother-Infant Health Study, we describe infant feeding practices among HIV-infected and HIV-uninfected mothers over a 12-month period when the Western Cape Province prevention of mother-to-child transmission (PMTCT) program was transitioning from a policy of exclusive formula feeding to one of exclusive breastfeeding. Two hundred pairs of mother and HIV-uninfected infant were included in the analysis, among whom 81 women were HIV uninfected and breastfeeding. Of the 119 HIV-infected mothers, 50 (42%) were breastfeeding and 69 (58%) were formula feeding. HIV-infected mothers predominantly breastfed for 8.14 (7.71–15.86) weeks; HIV-uninfected mothers predominantly breastfed for 8.29 (8.0–16.0) weeks; and HIV-infected mothers predominantly formula fed for 50.29 (36.43–51.43) weeks. A woman’s HIV status had no influence on the time to stopping predominant breastfeeding (P?=?0.20). Our findings suggest suboptimal duration of breastfeeding among both HIV-infected and HIV-uninfected mothers. Providing support for all mothers postdelivery, regardless of their HIV status, may improve breastfeeding practices.     

Lymphocytes proliferate in blood and lymph nodes following interleukin-2 therapy in addition to highly active antiretroviral therapy.

BACKGROUND: Substantial redistribution of lymphocytes occurs upon the initiation of highly active antiretroviral therapy (HAART) and immune-based HIV therapies. OBJECTIVE: To evaluate the relative contribution of apoptosis and proliferation to changes in lymphocyte populations in peripheral blood and lymph node resulting from interleukin-2 (IL-2) therapy in patients receiving stable HAART. METHODS: Lymphocyte apoptosis was analyzed on various subtypes using fluorescence activated cell sorting with an annexin-V antibody in peripheral blood and by the TUNEL (terminal uridine nucleotide end labelling) method in corresponding lymph node sections. Lymphocyte proliferation was evaluated using an antibody against the cell cycle-associated marker Ki-67 (MIB-1) in peripheral blood and lymph nodes. RESULTS: A transient increase in apoptosis was seen in peripheral blood and lymph nodes during a cycle of subcutaneous IL-2. A pronounced proliferative effect of IL-2 (from 6.4% of total lymphocytes in patients only treated with HAART to 23.4% in those treated with HAART + IL-2) was detected in peripheral blood, affecting the CD4, CD8 and CD16/56 subsets to a similar extent. Remarkably, the proliferative effect also occurred in lymphoid tissues. While the lymph node structure gradually disintegrated over 24 months in some individuals, the amount of proliferating lymphocytes, including CD4 cells, B cells and follicular dendritic cells, greatly increased upon IL-2, while HIV RNA load in lymph nodes remained unaffected. CONCLUSION: These results show that IL-2 leads to lymphocyte proliferation in peripheral blood and lymph nodes without an impact on viral load in lymphoid tissue. These results have important implications for attempts to reconstitute the immune system in HIV disease.