Miracle-dz/UniFAR-FTUs huggingface dataset:
Ischemic Preconditioning Improves Strength Endurance Performance.

Carvalho, L and Barroso, R. Ischemic preconditioning improves strength endurance performance. J Strength Cond Res XX(X): 000-000, 2018-Ischemic preconditioning (IPC) has been used to improve performances in aerobic and anaerobic activities. However, a few studies aimed at observing the effects of IPC on resistance training. The purpose of this study is to examine the effects of IPC on the number of repetitions performed during high-load resistance training. We also aimed at investigating blood lactate concentration and muscle activation in an attempt to understand the physiological mechanisms that may be caused by IPC. Ten resistance-trained participants performed four 5-minute cycles of either IPC (250 mm Hg) or Placebo (10 mm Hg) before performing a single set to failure of knee extension exercise with 85% of 1 repetition maximum. We also assessed muscle activation during the set (EMGRMS), median power frequency (EMGMPF), and blood lactate concentration before, 3, 7, and 11 minutes after (peak value was identified and used to calculate delta to prevalues, Δlactate). Data are presented as mean, 90% confidence intervals (CIs), and were analyzed with paired t-test. The level of significance was set at p < 0.05. Participants performed on average 3.9 repetitions (90% CI = 2.4-5.4; p = 0.01), which is ∼20%, more in the IPC condition. There were no significant differences between IPC and Placebo for EMGMPF (5.0%; 90% CI = -5.2 to 15; p = 0.50), EMGRMS (4.5%; 90% CI = -8.8 to 17; p = 0.78), and Δlactate (44%; 90% CI = 11-144; p = 0.16). Our results demonstrate the effect of IPC just on the number of repetitions performed in high-load resistance exercise compared with the Placebo condition.
Sigma-1 Receptor Activation Induces Autophagy and Increases Proteostasis Capacity In Vitro and In Vivo

Dysfunction of autophagy and disturbed protein homeostasis are linked to the pathogenesis of human neurodegenerative diseases and the modulation of autophagy as the protein clearance process has become one key pharmacological target. Due to the role of sigma-1 receptors (Sig-1R) in learning and memory, and the described pleiotropic neuroprotective effects in various experimental paradigms, Sig-1R activation is recognized as one potential approach for prevention and therapy of neurodegeneration and, interestingly, in amyotrophic lateral sclerosis associated with mutated Sig-1R, autophagy is disturbed. Here we analyzed the effects of tetrahydro-N,N-dimethyl-2,2-diphenyl-3-furanmethanamine hydrochloride (ANAVEX2-73), a muscarinic receptor ligand and Sig-1R agonist, on autophagy and proteostasis. We describe, at the molecular level, for the first time, that pharmacological Sig-1R activation a) enhances the autophagic flux in human cells and in Caenorhabditis elegans and b) increases proteostasis capacity, ultimately ameliorating paralysis caused by protein aggregation in C. elegans. ANAVEX2-73 is already in clinical investigation for the treatment of Alzheimer’s disease, and the novel activities of this compound on autophagy and proteostasis described here may have consequences for the use and further development of the Sig-1R as a drug target in the future. Moreover, our study defines the Sig-1R as an upstream modulator of canonical autophagy, which may have further implications for various conditions with dysfunctional autophagy, besides neurodegeneration.
Public Perceptions on Why Women Receive Less Bystander Cardiopulmonary Resuscitation Than Men in Out-of-Hospital Cardiac Arrest

Background: Women who suffer an out-of-hospital cardiac arrest receive bystander cardiopulmonary resuscitation (CPR) less often than men. Understanding public perceptions of why this occurs is a necessary first step toward equitable application of this potentially life-saving intervention. Methods: We conducted a national survey of members of the public using Mechanical Turk, Amazon’s crowdsourcing platform, to determine reasons why women might receive bystander CPR less often than men. Eligible participants were adults (≥18 years) located in the United States. Responses were excluded if the participant was not able to define CPR correctly. Participants were asked to answer the following free-text question: “Do you have any ideas on why women may be less likely to receive CPR than men when they collapse in public? ” Descriptive statistics were used to define the cohort. The free-text response was coded using open coding, and major themes were identified via classical content analysis. Results: In total, 548 subjects were surveyed. Mean age was 38.8 years, and 49.8% were female. Participants were geographically distributed as follows: 18.5% West, 9.2% Southwest, 22.0% Midwest, 27.5% Southeast, and 22.9% Northeast. After analysis, 3 major themes were detected for why the public perceives that women receive less bystander CPR. They include the following: (1) sexualization of women’s bodies; (2) women are weak and frail and therefore prone to injury; and (3) misperceptions about women in acute medical distress. Overall, 41.9% (227) were trained in CPR while 4.4% reported having provided CPR in a medical emergency. Conclusions: Members of the general public perceive fears about inappropriate touching, accusations of sexual assault, and fear of causing injury as inhibiting bystander CPR for women. Educational and policy efforts to address these perceptions may reduce the sex differences in the application of bystander CPR.
Altered social cognition and connectivity of default mode networks in the co-occurrence of autistic spectrum disorder and attention deficit hyperactivity disorder

Objective: As two common neurodevelopmental disorders, autistic spectrum disorder and attention deficit hyperactivity disorder frequently occur together. Until now, only a few studies have investigated the co-occurrence of attention deficit hyperactivity disorder and autistic spectrum disorder, this is due to restrictions associated with previous Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision. Most previous research has focused on the developmental trajectories for autistic spectrum disorder and attention deficit hyperactivity disorder separately, while the neural mechanisms underpinning the co-occurrence of autistic spectrum disorder and attention deficit hyperactivity disorder remain largely unknown. Methods: We studied 162 autistic spectrum disorder individuals (including 79 co-attention deficit hyperactivity disorder and 83 non-attention deficit hyperactivity disorder patients) and 177 typical developing individuals using resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange II, an aggregated magnetic resonance imaging dataset from 19 centers. Independent component analysis was used to extract sub-networks from the classic resting-state networks. Functional connectivity values within (intra-iFC) and between (inter-iFC) these networks were then determined. Subsequently, we compared the ASD_coADHD group with the ASD_nonADHD group in relation to the abnormal intra-iFC and inter-iFC of autistic spectrum disorder group relative to the typical developing group. Results: The ASD_coADHD group showed more severe social impairment and decreased intra-iFC in the bilateral posterior cingulate cortex of the default mode network (independent component 17) and increased inter-iFC between the default mode network (independent component 8) and the somatomotor networks (independent component 2) compared to the ASD_nonADHD group. In addition, the strength of the intra-iFC in the default mode network was associated with the severity of autistic traits across the entire autistic spectrum disorder group and particularly the ASD_coADHD group. Conclusion: Our results showed that dysfunction of the default mode network is a central feature in the co-occurrence of autistic spectrum disorder and attention deficit hyperactivity disorder, including connectivity within the default mode network as well as between the default mode network and the somatomotor networks, thus supporting the existence of a clinically combined phenotype (autistic spectrum disorder + attention deficit hyperactivity disorder).
Sleep and Pain

Objectives: A relationship between sleep and pain is well established. A better understanding of the mechanisms that link sleep and pain intensity is urgently needed to optimize pain management interventions. The objective of this systematic review was to identify, synthesize, and critically appraise studies that have investigated putative mediators on the path between sleep and pain intensity. Methods: A systematic search of 5 electronic bibliographic databases (EMBASE, MEDLINE, CINAHL, PsycINFO, and the Cochrane Central Register of Controlled Trials) was conducted. Eligible studies had to apply a formal test of mediation to variables on the path between a sleep variable and pain intensity or vice versa. All searches, data extraction and quality assessment were conducted by at least 2 independent reviewers. Results: The search yielded 2839 unique articles, 9 of which were eligible. Of 13 mediation analyses, 11 investigated pathways from a sleep variable to pain intensity. Putative mediators included affect/mood, depression and/or anxiety, attention to pain, pain helplessness, stress, fatigue, and physical activity. Two analyses investigated pathways from pain intensity to a sleep variable, examining the potentially mediating role of depressive symptoms and mood. Although evidence supported a mediating role for psychological and physiological aspects of emotional experiences and attentional processes, methodological limitations were common, including use of cross-sectional data and minimal adjustment for potential confounders. Discussion: A growing body of research is applying mediation analysis to elucidate mechanistic pathways between sleep and pain intensity. Currently sparse evidence would be illuminated by more intensively collected longitudinal data and improvements in analysis.
Gymnotic Delivery of LNA Mixmers Targeting Viral SREs Induces HIV-1 mRNA Degradation

Transcription of the HIV-1 provirus generates a viral pre-mRNA, which is alternatively spliced into more than 50 HIV-1 mRNAs encoding all viral proteins. Regulation of viral alternative splice site usage includes the presence of splicing regulatory elements (SREs) which can dramatically impact RNA expression and HIV-1 replication when mutated. Recently, we were able to show that two viral SREs, GI3-2 and ESEtat, are important players in the generation of viral vif, vpr and tat mRNAs. Furthermore, we demonstrated that masking these SREs by transfected locked nucleic acid (LNA) mixmers affect the viral splicing pattern and viral particle production. With regard to the development of future therapeutic LNA mixmer-based antiretroviral approaches, we delivered the GI3-2 and the ESEtat LNA mixmers “nakedly”, without the use of transfection reagents (gymnosis) into HIV-1 infected cells. Surprisingly, we observed that gymnotically-delivered LNA mixmers accumulated in the cytoplasm, and seemed to co-localize with GW bodies and induced degradation of mRNAs containing their LNA target sequence. The GI3-2 and the ESEtat LNA-mediated RNA degradation resulted in abrogation of viral replication in HIV-1 infected Jurkat and PM1 cells as well as in PBMCs.
Hepatic protective effects of sulforaphane through the modulation of inflammatory pathways

Abstract The aim of this study was to investigate the effects of sulforaphane (SFN) on lipopolysaccharide (LPS)-induced liver failure, and to elucidate underlying mechanisms. SFN, a natural isothiocyanate present in cruciferous vegetables such as broccoli and cabbage, is effective in preventing carcinogenesis, diabetes, and inflammatory responses. Mice were treated intravenously with SFN at 12 h after LPS treatment. LPS significantly increased mortality, serum levels of liver damage markers, and inflammatory cytokines, and toll-like receptor 4 (TLR4) protein expression, which were reduced by SFN. Our results suggest that SFN protects against LPS-induced liver damage, indicating its potential to treat liver diseases. Graphical Abstract
Connector-Free World-to-Chip Interconnection for Microfluidic Devices

In the development of functional lab-on-a-chip (LOC), there is a need to produce a reliable and high pressure connection between capillary tubes and microfluidic devices for carrying fluids. The current technologies still have limitations in achieving ideal interconnection since they are bulky, expensive or complicated. In this paper, a novel connector-free technique using an interference fit mechanism is introduced for world-to-chip interconnection. The proposed technique has considerable potential for replacing current interconnection tools for microfluidic devices due to the advantages including no chemical contamination, easy plugging, enough strength to sustain pressure, high density integration, simple and rapid integration.
Evidence of within-species specialization by soil microbes and the implications for plant community diversity

Significance It is widely known from agriculture that pathogens can specialize on genotypes within plant species, but such highly specialized pathogens have rarely been studied in natural plant communities. Although empirical evidence in natural plant communities demonstrates that pathogens can specialize at the level of species, our experiment in Panama demonstrates specialization of soil microbes within a wild plant population. Our complementary computer simulations suggest that genotype-level specialization by microbes may help maintain plant species diversity and promote the evolution of increased seed dispersal. Together, our results improve understanding of the role of microbes in natural plant communities by showing that microbes that specialize within species could influence diversity and dynamics in plant communities. Microbes are thought to maintain diversity in plant communities by specializing on particular species, but it is not known whether microbes that specialize within species (i.e., on genotypes) affect diversity or dynamics in plant communities. Here we show that soil microbes can specialize at the within-population level in a wild plant species, and that such specialization could promote species diversity and seed dispersal in plant communities. In a shadehouse experiment in Panama, we found that seedlings of the native tree species, Virola surinamensis (Myristicaceae), had reduced performance in the soil microbial community of their maternal tree compared with in the soil microbial community of a nonmaternal tree from the same population. Performance differences were unrelated to soil nutrients or to colonization by mycorrhizal fungi, suggesting that highly specialized pathogens were the mechanism reducing seedling performance in maternal soils. We then constructed a simulation model to explore the ecological and evolutionary consequences of genotype-specific pathogens in multispecies plant communities. Model results indicated that genotype-specific pathogens promote plant species coexistence—albeit less strongly than species-specific pathogens—and are most effective at maintaining species richness when genetic diversity is relatively low. Simulations also revealed that genotype-specific pathogens select for increased seed dispersal relative to species-specific pathogens, potentially helping to create seed dispersal landscapes that allow pathogens to more effectively promote diversity. Combined, our results reveal that soil microbes can specialize within wild plant populations, affecting seedling performance near conspecific adults and influencing plant community dynamics on ecological and evolutionary time scales.
Valuation of Credit Derivatives with Multiple Time Scales in the Intensity Model

We propose approximate solutions for pricing zero-coupon defaultable bonds, credit default swap rates, and bond options based on the averaging principle of stochastic differential equations. We consider the intensity-based defaultable bond, where the volatility of the default intensity is driven by multiple time scales. Small corrections are computed using regular and singular perturbations to the intensity of default. The effectiveness of these corrections is tested on the bond price and yield curve by investigating the behavior of the time scales with respect to the relevant parameters.
Novel Missense Mutations in BEST1 Are Associated with Bestrophinopathies in Lebanese Patients

To identify Bestrophin 1 (BEST1) causative mutations in six Lebanese patients from three families, of whom four had a presumed clinical diagnosis of autosomal recessive bestrophinopathy (ARB) and two showed a phenotype with a single vitelliform lesion, patients were subjected to standard ophthalmic examinations. In addition, BEST1 exons and their flanking regions were amplified and sequenced by Sanger sequencing. Co-segregation and detailed bio-informatic analyses were performed. Clinical examination results were consistent with ARB diagnosis for all index patients showing multifocal vitelliform lesions and a markedly reduced light peak in the electrooculogram, including the two patients with a single vitelliform lesion. In all cases, most likely disease-causing BEST1 mutations co-segregated with the phenotype. The ARB cases showed homozygous missense variants (M1, c.209A>G, p.(Asp70Gly) in exon 3, M2, c.1403C>T; p.(Pro468Leu) in exon 10 and M3, c.830C>T, p.(Thr277Met) in exon 7), while the two patients with a single vitelliform lesion were compound heterozygous for M1 and M2. To our knowledge, this is the first study describing mutations in Lebanese patients with bestrophinopathy, where novel biallelic BEST1 mutations associated with two phenotypes were identified. Homozygous mutations were associated with multifocal lesions, subretinal fluid, and intraretinal cysts, whereas compound heterozygous ones were responsible for a single macular vitelliform lesion.
Mycobacterium tuberculosis 6C sRNA binds multiple mRNA targets via C-rich loops independent of RNA chaperones

Abstract Bacterial small regulatory RNAs (sRNAs) are the most abundant class of post-transcriptional regulators and have been well studied in Gram-negative bacteria. Little is known about the functions and mechanisms of sRNAs in high GC Gram-positive bacteria including Mycobacterium and Streptomyces. Here, we performed an in-depth study of 6C sRNA of Mycobacterium tuberculosis, which is conserved among high GC Gram-positive bacteria. Forty-seven genes were identified as possible direct targets of 6C sRNA and 15 of them were validated using an in vivo translational lacZ fusion system. We found that 6C sRNA plays a pleotropic role and regulates genes involved in various cellular processes, including DNA replication and protein secretion. Mapping the interactions of 6C sRNA with mRNA targets panD and dnaB revealed that the C-rich loops of 6C sRNA act as direct binding sites to mRNA targets. Unlike in Gram-negative bacteria where RNA binding proteins Hfq and ProQ are required, the interactions of 6C sRNA with mRNAs appear to be independent of RNA chaperones. Our findings suggest that the multiple G–C pairings between single stranded regions are sufficient to establish stable interactions between 6C sRNA and mRNA targets, providing a mechanism for sRNAs in high GC Gram-positive bacteria.
Multi-omics Integration Analysis Robustly Predicts High-Grade Patient Survival and Identifies CPT1B Effect on Fatty Acid Metabolism in Bladder Cancer

Purpose: The perturbation of metabolic pathways in high-grade bladder cancer has not been investigated. We aimed to identify a metabolic signature in high-grade bladder cancer by integrating unbiased metabolomics, lipidomics, and transcriptomics to predict patient survival and to discover novel therapeutic targets. Experimental Design: We performed high-resolution liquid chromatography mass spectrometry (LC-MS) and bioinformatic analysis to determine the global metabolome and lipidome in high-grade bladder cancer. We further investigated the effects of impaired metabolic pathways using in vitro and in vivo models. Results: We identified 519 differential metabolites and 19 lipids that were differentially expressed between low-grade and high-grade bladder cancer using the NIST MS metabolomics compendium and lipidblast MS/MS libraries, respectively. Pathway analysis revealed a unique set of biochemical pathways that are highly deregulated in high-grade bladder cancer. Integromics analysis identified a molecular gene signature associated with poor patient survival in bladder cancer. Low expression of CPT1B in high-grade tumors was associated with low FAO and low acyl carnitine levels in high-grade bladder cancer, which were confirmed using tissue microarrays. Ectopic expression of the CPT1B in high-grade bladder cancer cells led to reduced EMT in in vitro, and reduced cell proliferation, EMT, and metastasis in vivo. Conclusions: Our study demonstrates a novel approach for the integration of metabolomics, lipidomics, and transcriptomics data, and identifies a common gene signature associated with poor survival in patients with bladder cancer. Our data also suggest that impairment of FAO due to downregulation of CPT1B plays an important role in the progression toward high-grade bladder cancer and provide potential targets for therapeutic intervention.
Individual-based network model for Rift Valley fever in Kabale District, Uganda

Rift Valley fever (RVF) is a zoonotic disease, that causes significant morbidity and mortality among ungulate livestock and humans in endemic regions. In East Africa, the causative agent of the disease is Rift Valley fever virus (RVFV) which is primarily transmitted by multiple mosquito species in Aedes and Mansonia genera during both epizootic and enzootic periods in a complex transmission cycle largely driven by environmental and climatic factors. However, recent RVFV activity in Uganda demonstrated the capability of the virus to spread into new regions through livestock movements, and underscored the need to develop effective mitigation strategies to reduce transmission and prevent spread among cattle populations. We simulated RVFV transmission among cows in 22 different locations of the Kabale District in Uganda using real world livestock data in a network-based model. This model considered livestock as a spatially explicit factor in different locations subjected to specific vector and environmental factors, and was configured to investigate and quantitatively evaluate the relative impacts of mosquito control, livestock movement, and diversity in cattle populations on the spread of the RVF epizootic. We concluded that cattle movement should be restricted for periods of high mosquito abundance to control epizootic spreading among locations during an RVF outbreak. Importantly, simulation results also showed that cattle populations with heterogeneous genetic diversity as crossbreeds were less susceptible to infection compared to homogenous cattle populations.