Prevalence of asymptomatic gonorrhea and chlamydia infections among Ryan White HIV population visiting a Center City HIV clinic

Introduction: Sexually transmitted infections (STIs) are a major public health problem. Two factors make their diagnosis challenging: frequent asymptomatic presentation and lack of screening, especially at extragenital sites. Additionally, STIs including gonorrhea (GC) and chlamydia (CT) have been shown to increase the risk of sexual HIV transmission. Information about the prevalence, as well as predictors of test positivity, of GC and CT infections can stress the importance of universal screening. Methods: We carried out a retrospective analysis of the STI screening of patients who attended the Ryan White HIV clinic at Jefferson between 2016 and 2018. The primary outcomes were positive GC/CT tests from genital, oral, and rectal sites. A secondary outcome was a positive syphilis screening. We also collected patient demographic information and risk factors for HIV transmission, including injection drug use status, history of prior STI, date of HIV diagnosis, condom use, number of sexual partners, and adherence to antiretroviral therapy. Results: On preliminary analysis of 290 out of 372 patients (61.6% male, 39.2% MSM, 37.1% female, and 1.3% transgender) we analyzed 532 genital, 126 oral, and 104 rectal GC/CT screens. We recorded 12 genital (2.3%), 12 oral (9.5%), and 22 rectal (21.1%) positive test results. Patients with oral and rectal GC/CT were more likely to be asymptomatic (92% and 91%, respectively) compared to genital (25%). We analyzed 688 syphilis screens, of which 28 were positive. Of these, 61% were asymptomatic. Discussion: Given the high rate of asymptomatic infections, our results emphasize the need for universal STI screening in primary care and HIV care settings to increase diagnosis and treatment, preventing downstream complications and HIV transmission risk

The Increase of Epidermal Imidazoleacrylic Acid Following Insolation

It has been confirmed, by electron microscopy, that suction blisters detach the epidermis at the dermo-epidermal junction. Inter- and intracellular vacuolization was observed in some of the specimens. On the basis of a study comprising 15 subjects (12 males and 3 females), it was concluded that urocanic acid in the epidermis (suction blister skin) of the upper arm increased 9–11 days following insolation in comparison with specimens situated at an exactly symmetrical site of the control (non-irradiated) arm. This difference was significant in terms of μg urocanic acid per mg dry weight at a 95% level of probability and in terms of μg per cm2 of blister base at a 99% level (t-test for paired values). In two of the subjects other time intervals after insolation were also studied and an increase of epidermal urocanic acid level was noted. Dry weights of epidermis (mg per cm2) on the irradiated and control side (9–11 days following insolation) did not differ significantly in the group of 15 subjects. Significant increase due to insolation was only demonstrated when the values were divided by control values obtained for the respective arms 2 months before the experiment. Histidine ammonia-lyase activity was estimated in 8 subjects. The increase on the irradiated side on the 9–11th day after unilateral insolation was not significant

Pupil size dynamics predict dLGN firing mode over a wide range of timescales

Pupil size is a commonly used proxy for waking brain states such as arousal, and has been related to activity modulations in cortical sensory areas. Here, we asked whether the dorsolateral geniculate nucleus (dLGN), which provides sensory input to the visual cortex, is modulated by pupil-indexed arousal. Observing that the pupil size oscillates at multiple timescales, we developed a method to show that the spiking mode of the dLGN is predicted by pupil size oscillations over several of these timescales. Overall, we found that tonic spikes preferentially occurred during pupil dilation, while bursts occurred during contraction. These preferences could not be explained solely by pupil size per se or by the locomotion of the animal, and were also present during periods of stimulus viewing. We conclude that dLGN spiking activity is modulated by pupil-indexed arousal processes on various timescales, influencing the mode in which sensory signals are passed on to the cortex

Robust effects of corticothalamic feedback during naturalistic visual stimulation

Neurons in the dorsolateral geniculate nucleus (dLGN) of the thalamus are contacted by a large number of feedback synapses from cortex, whose role in visual processing is poorly understood. Past studies investigating this role have mostly used simple visual stimuli and anesthetized animals, but corticothalamic (CT) feedback might be particularly relevant during processing of complex visual stimuli, and its effects might depend on behavioral state. Here, we find that CT feedback robustly modulates responses to naturalistic movie clips by increasing response gain and promoting tonic firing mode. Compared to these robust effects for naturalistic movies, CT feedback effects on firing rates were less consistent for simple grating stimuli, likely related to differences in spatial context. Finally, while CT feedback and locomotion affected dLGN responses in similar ways, we found their effects to be largely independent. We propose that CT feedback and behavioral state use separate circuits to modulate visual information on its way to cortex in a context-dependent manner

Robust effects of corticothalamic feedback and behavioral state on movie responses in mouse dLGN

Neurons in the dorsolateral geniculate nucleus (dLGN) of the thalamus receive a substantial proportion of modulatory inputs from corticothalamic (CT) feedback and brain stem nuclei. Hypothesizing that these modulatory influences might be differentially engaged depending on the visual stimulus and behavioral state, we performed in vivo extracellular recordings from mouse dLGN while optogenetically suppressing CT feedback and monitoring behavioral state by locomotion and pupil dilation. For naturalistic movie clips, we found CT feedback to consistently increase dLGN response gain and promote tonic firing. In contrast, for gratings, CT feedback effects on firing rates were mixed. For both stimulus types, the neural signatures of CT feedback closely resembled those of behavioral state, yet effects of behavioral state on responses to movies persisted even when CT feedback was suppressed. We conclude that CT feedback modulates visual information on its way to cortex in a stimulus-dependent manner, but largely independently of behavioral state

In vivo extracellular recordings of thalamic and cortical visual responses reveal V1 connectivity rules

The brain’s connectome provides the scaffold for canonical neural computations. However, a comparison of connectivity studies in the mouse primary visual cortex (V1) reveals that the average number and strength of connections between specific neuron types can vary. Can variability in V1 connectivity measurements coexist with canonical neural computations? We developed a theory-driven approach to deduce V1 network connectivity from visual responses in mouse V1 and visual thalamus (dLGN). Our method revealed that the same recorded visual responses were captured by multiple connectivity configurations. Remarkably, the magnitude and selectivity of connectivity weights followed a specific order across most of the inferred connectivity configurations. We argue that this order stems from the specific shapes of the recorded contrast response functions and contrast invariance of orientation tuning. Remarkably, despite variability across connectivity studies, connectivity weights computed from individual published connectivity reports followed the order we identified with our method, suggesting that the relations between the weights, rather than their magnitudes, represent a connectivity motif supporting canonical V1 computations

Dendritic Spine Shape Analysis: A Clustering Perspective

Functional properties of neurons are strongly coupled with their morphology. Changes in neuronal activity alter morphological characteristics of dendritic spines. First step towards understanding the structure-function relationship is to group spines into main spine classes reported in the literature. Shape analysis of dendritic spines can help neuroscientists understand the underlying relationships. Due to unavailability of reliable automated tools, this analysis is currently performed manually which is a time-intensive and subjective task. Several studies on spine shape classification have been reported in the literature, however, there is an on-going debate on whether distinct spine shape classes exist or whether spines should be modeled through a continuum of shape variations. Another challenge is the subjectivity and bias that is introduced due to the supervised nature of classification approaches. In this paper, we aim to address these issues by presenting a clustering perspective. In this context, clustering may serve both confirmation of known patterns and discovery of new ones. We perform cluster analysis on two-photon microscopic images of spines using morphological, shape, and appearance based features and gain insights into the spine shape analysis problem. We use histogram of oriented gradients (HOG), disjunctive normal shape models (DNSM), morphological features, and intensity profile based features for cluster analysis. We use x-means to perform cluster analysis that selects the number of clusters automatically using the Bayesian information criterion (BIC). For all features, this analysis produces 4 clusters and we observe the formation of at least one cluster consisting of spines which are difficult to be assigned to a known class. This observation supports the argument of intermediate shape types.Comment: Accepted for BioImageComputing workshop at ECCV 201