Miracle-dz/UniFAR-FTUs huggingface dataset:
Plasmacytoid dendritic cells have divergent effects on HIV infection of initial target cells and induce a pro-retention phenotype

Although HIV infection inhibits interferon responses in its target cells in vitro, interferon signatures can be detected in vivo soon after sexual transmission, mainly attributed to plasmacytoid dendritic cells (pDCs). In this study, we examined the physiological contributions of pDCs to early HIV acquisition using coculture models of pDCs with myeloid DCs, macrophages and the resting central, transitional and effector memory CD4 T cell subsets. pDCs impacted infection in a cell-specific manner. In myeloid cells, HIV infection was decreased via antiviral effects, cell maturation and downregulation of CCR5 expression. In contrast, in resting memory CD4 T cells, pDCs induced a subset-specific increase in intracellular HIV p24 protein expression without any activation or increase in CCR5 expression, as measured by flow cytometry. This increase was due to reactivation rather than enhanced viral spread, as blocking HIV entry via CCR5 did not alter the increased intracellular p24 expression. Furthermore, the load and proportion of cells expressing HIV DNA were restricted in the presence of pDCs while reverse transcriptase and p24 ELISA assays showed no increase in particle associated reverse transcriptase or extracellular p24 production. In addition, pDCs also markedly induced the expression of CD69 on infected CD4 T cells and other markers of CD4 T cell tissue retention. These phenotypic changes showed marked parallels with resident memory CD4 T cells isolated from anogenital tissue using enzymatic digestion. Production of IFNα by pDCs was the main driving factor for all these results. Thus, pDCs may reduce HIV spread during initial mucosal acquisition by inhibiting replication in myeloid cells while reactivating latent virus in resting memory CD4 T cells and retaining them for immune clearance.
Sex effects for the interaction of dopamine related genetic variants for COMT and BDNF on declarative memory performance

Genetic factors are assumed to contribute to memory performance, especially genes affecting the dopaminergic neurotransmission. We aimed to evaluate leading functional genetic variants of the dopamine system, Catechol‐O‐methyltransferase (COMT) SNP rs4680 and Brain‐derived neurotropic factor (BDNF) SNP rs6265, previously found to be associated with memory performance. In two independent general population cohorts (total N = 5937) we investigated direct and interaction effects between COMT and BDNF SNPs on declarative memory performance. We found significant two‐way interactions for COMT and BDNF in both cohorts but no direct genetic effects. Sensitivity analyses revealed that an interaction between COMT and BDNF was mainly carried by females. While direct associations of COMT and BDNF on memory have been reported previously, we could demonstrate that the interaction of COMT and BDNF is sex‐dependent and more complex and needs further investigation. Our results could be demonstrated in two independent cohorts of valuable size.
In situ tailoring the morphology of In(OH)3 nanostructures via surfactants during anodization and their transformation into In2O3 nanoparticles

The present work reports the effect of various surfactants on the morphology of In(OH)3 nanostructures prepared via anodization. In-sheets were anodized in an environmentally benign electrolyte containing a small quantity of CTAB, CTAC, and PDDA surfactants at room temperature. The produced nanostructures were characterized using XRD, HRTEM, SAED, and EDAX. The morphology of indium hydroxide (In(OH)3) nanostructures was successfully tailored in situ with the help of surfactants in 1 M KCl aqueous electrolyte. XRD results confirmed the formation of In(OH)3 and indium oxyhydroxide (InOOH) nanostructures in the pristine form which were transformed into single-phase cubic In2O3 nanoparticles (NPs) after calcination. HRTEM analyses showed that the morphology and size of the In(OH)3 nanostructures can be tuned to form nanorods, nanosheets and nanostrips using different surfactants. The results revealed that CTAC and PDDA surfactants have a profound effect on the morphology of In(OH)3 nanostructure compared to CTAB due to the higher concentration of Cl− ion. The possible mechanism of surfactants effect on the morphology is proposed. Furthermore, annealing converted the In(OH)3 nanostructures into spherical In2O3 NPs with uniform and homogeneous size. We anticipate that the morphology of other metal-oxides nanostructure can be tuned using this simple, facile and rapid technique. In2O3 NPs prepared without and with CTAB surfactant were further explored for the non-enzymatic detection of hydrogen peroxide (H2O2). Electrochemical measurements showed enhanced electrocatalytic performance with fast electron transfer (∼2s) between the redox centers of H2O2 and electrode surface. The In2O3 NPs prepared using CTAB/Au electrode exhibited about 4-fold increase in sensitivity compared to the bare Au electrode. The biosensor also demonstrated good reproducibility, higher selectivity, and increased shelf life.
Evaluation of automated pipelines for tree and plot metric estimation from TLS data in tropical forest areas.

BACKGROUND AND AIMS Terrestrial LiDAR scanning (TLS) data are of great interest in forest ecology and management because they provide detailed 3D information on tree structure. Automated pipelines are increasingly used to process TLS data and extract various tree- and plot-level metrics. With these developments comes the risk of unknown reliability due to an absence of systematic output control. In the present study, we evaluated the estimation errors of various metrics, such as the wood volume, at the tree and plot levels for four automated pipelines. METHODS We used TLS data collected from a 1-ha plot of tropical forest, from which 391 trees above 10 cm in diameter were fully processed using human assistance to obtain control data for tree- and plot-level metrics. KEY RESULTS Our results showed that fully automated pipelines led to median relative errors in the quantitative structural model (QSM) volume ranging from 39% to 115% at the tree level and 10% to 134% at the 1-ha plot level. For tree-level metrics, the median error for the crown-projected area ranged from 46% to 59%, and that for the crown-hull volume varied from 72% to 88%. This result suggests that the tree isolation step is the weak link in automated pipeline methods. We further analysed how human assistance with automated pipelines can help reduce the error in the final QSM volume. At the tree scale, we found that isolating trees using human assistance reduced the error in the wood volume by a factor of ten. At the 1-ha plot scale, locating trees with human assistance reduced the error by a factor of three. CONCLUSIONS Our results suggest that in complex tropical forests, fully automated pipelines may provide relatively unreliable metrics at the tree and plot levels, but limited human assistance inputs can significantly reduce errors.
Vocal performance reflects individual quality in male Himalayan leaf-nosed bats (Hipposideros armiger).

Signals containing parameter trade-offs are likely to be honest indicators of signaler quality, because they are difficult to produce. Signals with a trill-rate/bandwidth trade-off have been described for many songbird species, one mouse and one non-human primate species. However, there were no reports about whether there is a vocal performance trade-off in social calls of bats. This study investigated (1) a possible vocal performance trade-off in territorial calls of male Great Himalayan leaf-nosed bats, Hipposideros armiger, recorded from nine locations in south China, and (2) the relationships between vocal performance (vocal deviation and consistency) and caller's quality (body mass) to determine whether vocal performance honestly indicates a caller's quality. Vocal deviation measures the deviation of a call relative to an extreme call and vocal consistency measures the spectral consistency across a string of syllables. Our results showed a significant negative correlation between syllable repetition rate and frequency bandwidth, suggesting a vocal performance trade-off similar to the one in songbirds. Further, there was a significant negative relationship between body mass and vocal deviation, but no significant correlation between body mass and vocal consistency. This study provides the first empirical evidence for a vocal performance trade-off of social calls in bats, and the potential for the level of performance to indicate caller quality. This article is protected by copyright. All rights reserved.
Faculty Perceptions of Engaging Older Adults in Higher Education: The Need for Intergenerational Pedagogy

ABSTRACT Institutions of higher education need to become more age friendly. Creating an on-campus lifelong learning program can offer older adults opportunities to audit classes and engage in multigenerational classrooms, but can also promote intergenerational learning when instructors consciously use pedagogy that fosters engagement between learners from various generations. Promoting intergenerational learning to facilitate reciprocal sharing of expertise between generations is also the fourth principle of the Age Friendly University framework. This qualitative interview study examines the perspectives of 27 faculty members who have opened their face to face classrooms to older adult auditors to 1) Explore perceived benefits and challenges associated with having older adults in the college classroom and to 2) Determine what levels of intergenerational learning may be taking place. Compared to lecture-based courses, faculty whose pedagogy promotes discussion, sharing, and small group work reported detailed examples of older adult learners and traditionally-aged college students engaging in course-related discussion. The unique, historical and diverse perspectives of older adults improved the quality of education for students, and fostered in-depth learning. Challenges related to older adult auditors included poor/limited attendance, sharing of strong opinions/dominating class discussion, sensory/mobility and technology accessibility. Recommendations include training to promote intergenerational engagement in college classrooms.
High frequency of smell and taste dysfunctions in allergy health care professionals suffering from COVID-19.

BACKGROUND AND OBJECTIVE Since the first stages of the novel coronavirus 2019 (SARS-CoV-2) outbreak smell and/or taste dysfunction (STD), has been described from 5% to 88% in COVID-19 patients. Objective: we aimed to assess STD in healthcare professionals (HCP), mainly allergists, affected with COVID-19, by means of a survey, and to evaluate the association of STD and their severity with demographic characteristics, symptoms, comorbidities, and hospital admission. METHODS A 15-item questionnaire was designed including different sections as follows: demographics, diagnostic characteristics, STD patterns, medication use as well as comorbidities. The questionnaire was developed using Google forms, implemented and distributed to members of the Spanish Society of Allergology and Clinical Immunology (SEAIC) and spread via Social Media to be completed by HCP affected with COVID-19. RESULTS HCP (n=234), 76.5% ≤55 yrs, 73.5% female, completed the survey. There was STD in up to 74.4% of the respondents, 95.6% reporting a moderate-severe impairment. Mean recovery time of taste dysfunction was 21.6±24.0 days in HCP ≤55 yrs and 33.61±26.2 days in >55 yrs (p=0.019). Stratified analysis by severity of STD showed that more than a half of COVID-19 subjects presented severe loss of smell. An older age (>55 yrs) was associated with fever, anorexia, less headache and with a longer persistence of taste dysfunction. CONCLUSIONS STD is a common symptom in COVID-19, even as a unique or preceding symptom. HCP who declared smell dysfunction (SD) were younger than those not affected with STD. Taste dysfunction (TD) may imply more systemic involvement in COVID-19-positive HCP.
Prediction of potential therapeutic drugs against SARS-CoV-2 by using Connectivity Map based on transcriptome data.

OBJECTIVE Transcriptome data related to severe acute respiratory syndrome-related coronavirus 2 (a novel coronavirus discovered in 2019, SARS-CoV-2) in GEO database were downloaded. Based on the data, influence of SARS-CoV-2 on human cells was analyzed and potential therapeutic compounds against the SARS-CoV-2 were screened. MATERIALS AND METHODS R package "DESeq2" was used for differential gene analysis on the data of cells infected or non-infected with SARS-CoV-2. The "ClusterProfiler" package was used for GO functional annotation and KEGG pathway enrichment analysis of the differentially expressed genes (DEGs). A protein-protein interaction (PPI) network of the DEGs was constructed through STRING website, and the key subset in the PPI network was identified after visualization by Cytoscape software. Connectivity Map (CMap) database was used to screen known compounds that caused genomic change reverse to that caused by SARS-CoV-2. RESULTS By intersecting DEGs in two datasets, a total of 145 DEGs were screened out, among which 136 genes were upregulated and 9 genes were downregulated in SARS-CoV-2-infected cells. Functional enrichment analyses revealed that these genes were mainly associated with the pathways involved in viral infection, inflammatory response, and immunity. The CMap research found that there were three compounds with a median_tau_score less than -90, namely triptolide, tivozanib and daunorubicin. CONCLUSIONS SARS-CoV-2 can cause abnormal changes in a large number of molecules and related signaling pathways in human cells, among which IL-17 and TNF signaling pathways may play a key role in pathogenic process of SARS-CoV-2. Here, three compounds that may be effective for the treatment of SARS-CoV-2 were screened, which would provide new options for improving treatment of patients infected with SARS-CoV-2.
Impact of COVID-19 on migrants’ access to primary care and implications for vaccine roll-out: a national qualitative study

Background COVID-19 has led to big changes in UK primary care, including rapid digitalisation, with unknown impact on migrant groups. Aim To understand the pandemic’s impact on recently-arrived migrants and their access to primary health care, and implications for vaccine roll-out. Design and setting Qualitative study involving semi-structured interviews with primary care professionals (PCPs) and migrants in urban, suburban, and rural settings across England. Method Sixty-four PCPs and administrative staff, and 17 recently-arrived migrants were recruited using purposive, convenience, and snowball sampling. In-depth, semi-structured interviews were conducted by telephone. Data were analysed iteratively, informed by thematic analysis. Results PCPs and migrants concurred that digitalisation and virtual consultations have amplified existing inequalities in access to health care for many migrants, due to a lack of digital literacy and access to technology, compounded by language barriers. PCPs were concerned that virtual consultations resulted in difficulties building trust and risked missing safeguarding cues. Both PCPs and migrants highlighted challenges around registering and accessing health care due to physical closure of surgeries, as well as indirect discrimination, language and communication barriers, and a lack of access to targeted and tailored COVID-19 information or interventions. Migrants reported a range of specific beliefs, from acceptance to mistrust, around COVID-19 and potential COVID-19 vaccines, often influenced by misinformation. Innovative opportunities were suggested, including translated digital health advice using text templates and YouTube; these merit further exploration. Conclusion Pandemic-related changes to primary care delivery may become permanent; some migrant groups are at risk of digital exclusion and may need targeted additional support to access services. Solutions are needed to address vaccine hesitancy in marginalised groups to ensure equitable COVID-19 vaccine uptake.
The copy number variation and stroke (CaNVAS) risk and outcome study

Background and purpose The role of copy number variation (CNV) variation in stroke susceptibility and outcome has yet to be explored. The Copy Number Variation and Stroke (CaNVAS) Risk and Outcome study addresses this knowledge gap. Methods Over 24,500 well-phenotyped IS cases, including IS subtypes, and over 43,500 controls have been identified, all with readily available genotyping on GWAS and exome arrays, with case measures of stroke outcome. To evaluate CNV-associated stroke risk and stroke outcome it is planned to: 1) perform Risk Discovery using several analytic approaches to identify CNVs that are associated with the risk of IS and its subtypes, across the age-, sex- and ethnicity-spectrums; 2) perform Risk Replication and Extension to determine whether the identified stroke-associated CNVs replicate in other ethnically diverse datasets and use biomarker data (e.g. methylation, proteomic, RNA, miRNA, etc.) to evaluate how the identified CNVs exert their effects on stroke risk, and lastly; 3) perform outcome-based Replication and Extension analyses of recent findings demonstrating an inverse relationship between CNV burden and stroke outcome at 3 months (mRS), and then determine the key CNV drivers responsible for these associations using existing biomarker data. Results The results of an initial CNV evaluation of 50 samples from each participating dataset are presented demonstrating that the existing GWAS and exome chip data are excellent for the planned CNV analyses. Further, some samples will require additional considerations for analysis, however such samples can readily be identified, as demonstrated by a sample demonstrating clonal mosaicism. Conclusion The CaNVAS study will cost-effectively leverage the numerous advantages of using existing case-control data sets, exploring the relationships between CNV and IS and its subtypes, and outcome at 3 months, in both men and women, in those of African and European-Caucasian descent, this, across the entire adult-age spectrum.
Female emancipation in a male dominant, sexually dimorphic primate under natural conditions

In most group-living animals, a dominance hierarchy reduces the costs of competition for limited resources. Dominance ranks may reflect prior attributes, such as body size, related to fighting ability or reflect the history of self-reinforcing effects of winning and losing a conflict (the winner-loser effect), or both. As to prior attributes, in sexually dimorphic species, where males are larger than females, males are assumed to be dominant over females. As to the winner-loser effect, the computational model DomWorld has shown that despite the female’s lower initial fighting ability, females achieve some degree of dominance of females over males. In the model, this degree of female dominance increases with the proportion of males in a group. This increase was supposed to emerge from the higher fraction of fights of males among themselves. These correlations were confirmed in despotic macaques, vervet monkeys, and in humans. Here, we first investigate this hypothesis in DomWorld and next in long-term data of 9,300 observation hours on six wild groups of robust capuchin monkeys (Sapajus libidinosus; S. nigritus, and S. xanthosternos) in three Brazilian sites. We test whether both the proportion of males and degree of female dominance over males are indeed associated with a higher relative frequency of aggression among males and a higher relative frequency of aggression of females to males. We confirm these correlations in DomWorld. Next, we confirm in empirical data of capuchin monkeys that with the proportion of males in the group there is indeed an increase in female dominance over males, and in the relative frequency of both male-male aggression and aggression of females to males and that the female dominance index is significantly positively associated with male male aggression. Our results reveal that adult sex ratio influences the power relation between the sexes beyond predictions from socioecological models.
Clinical Characteristics and Breastfeeding Outcomes in Term Dyads Following In-Hospital Supplementation with Pasteurized Donor Human Milk or Formula.

Background: Pasteurized donor human milk (PDHM) supplementation for healthy infants is an emerging practice. Little is known about demographics or breastfeeding outcomes for dyads whose mothers choose PDHM versus formula. Research Aims: To identify relationships between in-hospital supplementation choice and (1) dyad characteristics and breastfeeding intent, and (2) breastfeeding outcomes at 1 month. Materials and Methods: This exploratory prospective cohort study surveyed healthy dyads requiring medically indicated supplementation. Participants completed questionnaires including demographics, breastfeeding intent, and self-efficacy during hospitalization, and self-efficacy and lactation outcomes at 1 month. Results: Of 39 participants, 24 (62%) supplemented with formula and 15 (38%) with PDHM. Formula dyads were more likely than PDHM dyads to have a delivery body mass index (BMI) ≥30 kg/m2 (58% versus 20%, p = 0.02), and less likely to have attained greater than a college degree (33% versus 7%, p = 0.02); formula dyads also reported lower breastfeeding intent scores (12.0 versus 15.5, p = 0.002). Breastfeeding self-efficacy scores were similar but decreased for both groups over 1 month. At 1 month, mothers who chose formula were more likely to continue to provide breast milk to their infants (84% versus 72%). Direct breastfeeding rates were similar (72% versus 68%); of participants directly breastfeeding at 1 month, PDHM dyads were 1.5 times more likely to provide maternal expressed milk. Conclusions: Differences in maternal education, BMI, and breastfeeding intent were found between feeding groups. Results suggest an association between PDHM choice and initial breastfeeding intent and breastfeeding self-efficacy and provision of maternal expressed milk at 1 month.