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6,699 results for “Depression;”
IMPAACT 2002: Cognitive Behavioral Therapy and Medication Management for Treatment of Depression in US Youth With HIV
ClinicalTrials.gov study NCT02939131. IPD Sharing: YES. Countries: 1. Publications: 2.
Community Health Worker Training to Reduce Depression and Substance Use Stigma in TB/HIV Care in South Africa
ClinicalTrials.gov study NCT05282173. IPD Sharing: YES. Countries: 1. Publications: 2.
Whole-body physiology model to simulate respiratory depression of fentanyl and associated naloxone reversal
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The prevalence and correlates of depression and anxiety symptoms among older adults in Shenzhen, China
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Ignoring within-flower self-fertilization and inbreeding depression biases estimates of selection on floral traits
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Inbreeding depression in polyploid species: a meta-analysis
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Epistasis, inbreeding depression and the evolution of self-fertilization
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Data from: Contrasting patterns of inbreeding and inbreeding depression in co-occurring spotted turtle and eastern box turtle populations
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Data and Code for: Resistance is futile: Weaker selection for resistance by abundant parasites increases prevalence and depresses host density
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Epistasis, inbreeding depression and the evolution of self-fertilization
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Inbreeding depression in artificial selection lines of Ipomoea purpurea
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Data from: Inbreeding depression affects the growth of seedlings of an African timber species with a mixed mating reproductive system, Pericopsis elata (Harms) Meeuwen
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Multigenerational hybridisation results in heterosis and facilitates adaptive introgression, with no evidence of outbreeding depression in a pair of marine gastropods
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Wikidata Dump Depressive disorders
<p> RDF dump of wikidata produced with <a href="https://tools.wmflabs.org/wdumps/">wdumps</a>. </p> <p> Wikidata dumps<br> <a href="https://tools.wmflabs.org/wdumps/dump/286">View on wdumper</a> </p> <p> <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0 </p>
Wikidata Dump Depressive disorders
<p> RDF dump of wikidata produced with <a href="https://tools.wmflabs.org/wdumps/">wdumps</a>. </p> <p> Wikidata dumps<br> <a href="https://tools.wmflabs.org/wdumps/dump/286">View on wdumper</a> </p> <p> <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0 </p>
Data from: Consistent scaling of inbreeding depression in space and time in a house sparrow metapopulation
<p>Inbreeding may increase the extinction risk of small populations. Yet, studies using modern genomic tools to investigate inbreeding depression in nature have been limited to single populations, and little is known about the dynamics of inbreeding depression in subdivided populations over time. Natural populations often experience different environmental conditions and differ in demographic history and genetic composition; characteristics that can affect the severity of inbreeding depression. We utilised extensive long-term data on more than 3100 individuals from eight islands in an insular house sparrow metapopulation to examine the generality of inbreeding effects. Using genomic<sub> </sub>estimates of realised inbreeding, we discovered that inbred individuals had lower survival probabilities and produced fewer recruiting offspring than non-inbred individuals. Inbreeding depression, measured as the decline in fitness related traits per unit inbreeding, did not vary appreciably among populations or with time. As a consequence, populations with more resident inbreeding (due to their demographic history) paid a higher total fitness cost, evidenced by a larger variance in fitness explained by inbreeding within these populations. Our results are in contrast to the idea that effects of inbreeding generally depend on ecological factors and genetic differences among populations, and expand the understanding of inbreeding depression in natural subdivided populations.</p>
Differential ADAR editing landscapes in major depressive disorder and suicide.
<p>Neuropsychiatric disorders including depression and suicide are becoming an increasing public health concern. The current COVID19 pandemic by contributing to the rising rates of both depression and suicide has only hastened our need for objective and reliable diagnostic biomarkers. These can aide clinicians in not only diagnosing, but also in development of treatment plans for depression and suicide. While differential gene expression analysis has highlighted the serotonin signaling cascadeamong other critical neurotransmitter pathways to underly the pathology of depression and suicide, the biological mechanisms remain elusive. Well studied adenosine deaminase action on RNA (ADAR) editing sites such as serotonin and glutamate receptors have been examined individually one at a time. Here we propose a novel approach to better understand molecular underpinnings of neuropsychiatric disorders. We take advantage of publically available RNA-seq datasets to map ADAR editing landscapes in a more global gene-centric view. We use a unique combination of Guttman scaling and random forest classification modeling to create, describe and compare ADAR editing profiles focusing on both temporal and biological sex differences. We use a subset of experimentally confirmed ADAR editing sites located in known protein coding regions, the excitome, to map ADAR editing profiles in Major Depressive Disorder (MDD) and suicide. Using Guttman scaling, we were able to describe significant changes in editing profiles across brain regions in males and females with respect to cause of death (COD) and MDD diagnosis. The temporal distribution of editing sites may provide insight into biological mechanisms under-pinning clinical symptoms associated with MDD and suicidal behavior. Additionally, we use random forest modeling including these differential profiles among other markers of global editing patterns in order to highlight potential biomarkers providing insight into changes in synaptic plasticity. Together these models identify potential prognostic, diagnostic and therapeutic biomarkers for MDD diagnosis and/or suicide.</p>
The effect of sertraline on depression and associations with persistent depression in survivors of HIV-related cryptococcal meningitis
<p><b>Background</b>: Depression is associated with worse outcomes in persons living with HIV/AIDS and has a prevalence more than three times as high as in the general population. Despite this, there are few randomized studies of antidepressants in HIV-infected Africans.</p> <p><b>Methods: </b>We enrolled 460 HIV-infected Africans with cryptococcal meningitis into a randomized clinical trial of adjunctive sertraline vs placebo (2015-2017). We screened for clinical depression using the Center for Epidemiologic Studies Depression Scale (CES-D) at one and three months after meningitis diagnosis and initiation of treatment. We evaluated the relationship between sertraline and depression, as well as associations with persistent depression, at three months.</p> <p><b>Results: </b>At one- and three-months post meningitis diagnosis, 62% (108/174) and 44% (74/169) of all subjects had depression (CES>15), respectively. At three months, sertraline-treated subjects were non-significantly more likely to be depressed than placebo-treated subjects (64% vs 37%, p=0.09) but were significantly less likely to have severe depression (CES>26) (OR 0.335; 95%CI, 0.130-0.865). Of those with depression at one month, sertraline-treated subjects were less likely than placebo-treated subjects to be depressed at three months (p=0.05). Sertraline was the only factor we found significant in predicting persistent depression at three months among those who had depression at one month.</p> <p><b>Conclusions: </b>Depression is highly prevalent in HIV-infected persons who have survived cryptococcal meningitis. We found that sertraline is associated with a modest reduction in depression in those with depression at baseline and a significant reduction in severe depression.</p>
Heterozygosity–fitness correlations reveal inbreeding depression in neonatal body size in a critically endangered rock iguana
Inbreeding depression, though challenging to identify in nature, may play an important role in regulating the dynamics of small and isolated populations. Conversely, greater expression of genetic load can enhance opportunities for natural selection. Conditional expression concentrates these opportunities for selection and may lead to failure of detection. This study investigates the possibility for age-dependent expression of inbreeding depression in a critically endangered population of rock iguanas, Cyclura nubila caymanensis. We employ heterozygote-fitness correlations to examine the contributions of individual genetic factors to body size, a fitness-related trait. Nonsignificant reductions in homozygosity (up to 7%) were detected between neonates and individuals surviving past their first year, which may reflect natural absorption of inbreeding effects by this small, fecund population. The majority of variation in neonate body size was attributed to maternal or environmental effects (i.e., clutch identity and incubation length); however, heterozygosity across 22 microsatellite loci also contributed significantly and positively to model predictions. Conversely, effects of heterozygosity on fitness were not detectable when adults were examined, suggesting that inbreeding depression in body size may be age dependent in this taxon. Overall, these findings emphasize the importance of taking holistic, cross-generational approaches to genetic monitoring of endangered populations.
Data from: Bottlenecks and inbreeding depression in autotetraploids
Inbreeding depression is dependent on the ploidy of populations and can inhibit the evolution of selfing. While polyploids should generally harbor less inbreeding depression than diploids at equilibrium, it has been unclear whether this pattern holds in non-equilibrium conditions following bottlenecks. We use stochastic individual based simulations to determine the effects of population bottlenecks on inbreeding depression in diploids and autotetraploids, in addition to cases where neo-autotetraploids form from the union of unreduced gametes. With a ploidy-independent dominance function based on enzyme kinetics, inbreeding depression is generally lower in autotetraploids for fully and partially recessive mutations. Due to the sampling of more chromosomes during reproduction, bottlenecks generally reduce inbreeding depression to a lesser extent in autotetraploids. All else being equal, population bottlenecks may have ploidy dependent effects for another reason – in some cases mating between close relatives temporarily increases inbreeding depression in autotetraploids by increasing the frequency of the heterozygous genotype harboring the most harmful mutations. When neo-autotetraploids are formed by few individuals, inbreeding depression is dramatically reduced, given extensive masking of harmful mutations following whole genome duplication. This effect persists as nascent tetraploids reach mutation-selection-drift balance, providing a transient period of permissive conditions favoring the evolution of selfing.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.