157 research outputs found

    Regulation of Pituitary Gene Expression in Lines of Swine with Different Ovulation Rates

    Get PDF
    Litter size plays a major role in the economics of pork production. Even modest increases in average litter size can have considerable effects on overall profitability. Two major components of litter size – ovulation rate and embryonic survival – have been used in a selection index project ongoing for several generations at the University of Nebraska–Lincoln (UNL). Additionally, the Chinese Meishan breed is one of the most prolific breeds, producing four to five more pigs per litter than white crossbred females. We investigated the role of the gonadotropin-releasing hormone (GnRH) receptor and gonadotropin subunit genes in determination of ovulation rate between lines of swine. Ten UNL Index and Control line white crossbred gilts and 12 Meishan gilts were ovariectomized following three (Index and Control) or 6 (Meishan) successive estrous cycles. After a 21-day recovery period, gilts from each line were treated with either a specific GnRH antagonist (SB-75; 10 μg/kg of body weight) or 0.9% saline at 60, 36 and 12 hours prior to slaughter. Blood samples were collected prior to the first treatment and at slaughter before anterior pituitary collection. Serum luteinizing hormone (LH) and follicle stimulating hormone (FSH) levels were determined by radioimmunoassay and RNA was extracted from anteriorpituitary tissue. In all lines, LH was reduced to basal levels by SB- 75 treatment, confirming the efficacy of SB-75. In contrast, levels of FSH decreased only in Control gilts following treatment with SB-75. Pituitary levels of GnRH receptor and gonadotropin subunit gene expression were measured by quantitative PCR. Levels of gene expression for the GnRH receptor and gonadotropin subunits decreased following treatment with the GnRH antagonist in pituitaries of gilts from the Index and Control lines; however, these values remained unchanged in pituitaries from Meishangilts. Identification of unique genetic changes in swine strains with increased ovulation rates, such as the Chinese Meishan and the UNL Index selection line, may allow for a better understanding of prolificacy. This critical information may also be used to enhance litter size in other lines of pigs and improve efficiency of pig production

    The differential associations of positive and negative symptoms with suicidality

    Get PDF
    BACKGROUND: Suicide is one of the leading causes of death in people with schizophrenia. Identifying risk factors for suicide in schizophrenia is therefore an important clinical and research priority. METHOD: A cross-sectional secondary analysis was conducted on the DNA Polymorphisms in Mental Illness Study (DPIM) data. Suicidality data was extracted, and the number of positive and negative symptoms were established for a total of 1494 participants. Logistic and negative binomial regression analyses were conducted to assess for associations between positive or negative symptoms and suicidal ideation, attempt, or number of attempts, whilst adjusting for potential confounders. RESULTS: Negative symptoms were associated with a reduction in the risk of suicidal ideation (odds ratio [OR]: 0.83; 95 % CI: 0.75-0.91) and suicide attempt (OR: 0.79; 95 % CI: 0.71-0.88) after adjusting for age and sex. Positive symptoms were associated with an increased risk of suicidal ideation (OR: 1.06; 95 % CI: 1.03-1.09), suicide attempt (OR: 1.04; 95 % CI: 1.00-1.07) and number of suicide attempts (incidence rate ratio [IRR]: 1.05; 95 % CI: 1.01-1.08). Further adjusting for depressive symptoms slightly increased the magnitude of associations with negative symptoms but attenuated associations between positive symptoms and suicidality to the null. CONCLUSIONS: Negative symptoms are associated with a reduced risk of suicidality, whilst positive symptoms are associated with an increased risk of suicidality. Depressive symptoms may confound or mediate these associations

    Global landscape of mouse and human cytokine transcriptional regulation

    Get PDF
    Cytokines are cell-to-cell signaling proteins that play a central role in immune development, pathogen responses, and diseases. Cytokines are highly regulated at the transcriptional level by combinations of transcription factors (TFs) that recruit cofactors and the transcriptional machinery. Here, we mined through three decades of studies to generate a comprehensive database, CytReg, reporting 843 and 647 interactions between TFs and cytokine genes, in human and mouse respectively. By integrating CytReg with other functional datasets, we determined general principles governing the transcriptional regulation of cytokine genes. In particular, we show a correlation between TF connectivity and immune phenotype and disease, we discuss the balance between tissue-specific and pathogen-activated TFs regulating each cytokine gene, and cooperativity and plasticity in cytokine regulation. We also illustrate the use of our database as a blueprint to predict TF–disease associations and identify potential TF–cytokine regulatory axes in autoimmune diseases. Finally, we discuss research biases in cytokine regulation studies, and use CytReg to predict novel interactions based on co-expression and motif analyses which we further validated experimentally. Overall, this resource provides a framework for the rational design of future cytokine gene regulation studies.National Institutes of Health (NIH) [R00 GM114296 and R35 GM128625 to J.I.F.B., 5T32HL007501-34 to J.A.S.]; National Science Foundation [NSF-REU BIO-1659605 to M.M.]. Funding for open access charge: NIH [R35 GM128625]. (R00 GM114296 - National Institutes of Health (NIH); R35 GM128625 - National Institutes of Health (NIH); 5T32HL007501-34 - National Institutes of Health (NIH); NSF-REU BIO-1659605 - National Science Foundation; R35 GM128625 - NIH)Published versio

    Nuevas Vistas

    Get PDF
    With the new database system in place, the electronic resources page is much easier to update and maintain. In addition, the tagging system has allowed users to find the resources they need in a more efficient manner. Future plans include using the new electronic resources database to create self generating subject guides for different departments within the division of health sciences

    Auditory Integration Interventions for Children with Autism and Developmental Disabilities: An Evidence-Based Practice Project

    Get PDF
    After extensive review of select auditory integration interventions including Auditory Integration Therapy (AIT), The Listening Program (TLP), and Therapeutic Listening (TL), we can conclude that many of these interventions have not been examined for use with children and adolescents with autism spectrum disorder (ASD). Although some the research we found showed slight improvements in our investigated outcomes, many of them did not analyze the primary long-term outcomes of interest for occupational therapy including performance, participation, and engagement. Specialized training is required for therapists to facilitate AIT, TLP, and TL with their clients. Courses are costly ranging from 365365-2400, which further detracts the practicality of these interventions. All three of our auditory interventions were either not reviewed by the expert review groups or were investigated but not recommended. Additionally, some insurance companies and the United States Federal Drug Administration do not approve of some of the interventions and equipment required due to safety concerns and lack of evidence (UnitedHealthcare, 2016). Our preliminary recommendations are that these interventions are a Level 5. A Level 5 means that the treatment is designated as an untested/experimental treatment and/or is potentially harmful (WI Department of Health Services, 2014). Additionally, the results may not be a direct outcome of AIT, TLP, and TL due to a variety of limitations and gaps in research. Because of these gaps and limitations we can conclude that the existing research is of poor quality. Given the chosen study design in a majority of these articles, we cannot make definite conclusions that these interventions caused the differences in the outcomes. Also, due to case study designs and small sample sizes, the results cannot be generalized to the larger population. Conflicting recommendations exist for further on these auditory integration interventions. Therefore, individuals interested in conducting research should be aware of these cautions

    Movement Interventions for Children with Autism and Developmental Disabilities: An Evidence-Based Practice Project

    Get PDF
    This review explored the following question: Are the comprehensive treatment models Makoto Therapy, Brain Gym, and Interactive Metronome effective interventions for improving occupational performance including improving executive function, academic performance, and physical coordination in children and adolescents with Autism Spectrum Disorder (ASD)? Because current research on Interactive Metronome, Brain Gym®, and Makoto Therapy fails to address children and adolescents with autism spectrum disorder, presents multiple flaws in research design, and does not measure occupational outcomes such as occupational performance, we recommend that these interventions should not be used as comprehensive treatment models in occupational therapy. We recommend that more occupational-based, methodologically-sound research involving youth with ASD be conducted before implementing these interventions in occupational therapy practice

    Evaluating Four Inosine-Uridine Preferring Nucleoside Hydrolases in Bacillus Anthracis for Decontamination Strategies

    Get PDF
    Andrew Roser­ is a doctoral student in the School of Biological Sciences at Louisiana Tech University. Abigail Bass, Sophie Bott, Madison Brewton, Adam Broussard, Taylor Clement, Makenzie Cude, Hunter Currie, Claire Herke, Mary Hickman, Lauren James, Hailey Johnson, Madeline Lechtenberg, Sarah Murchison, Alex Plaisance, Wil Plants, Alex Sullivan, Sara Vandenberg, and Kaitlynn Willis are undergraduate students in the School of Biological Sciences at Louisiana Tech University. Rebecca Giorno is an Associate Professor in the School of Biological Sciences at Louisiana Tech University
    corecore