Genetic analysis of feed efficiency and novel feeding behavior traits measured in group-housed broilers using electronic feeders.

This study aimed to estimate genetic parameters for feeding behavior (FB) traits and to assess their genetic relationship with performance traits in group-housed broilers. In total, 99,472,151 visits were recorded for 95,711 birds between 2017 and 2022 using electronic feeders. The visits were first clustered into 2,667,617 daily observations for ten FB traits: daily feed intake (DFI), daily number of visits (NVIS), time spent at the feeders (TSF), number of visited feeders (NVF), visiting activity interval (VAI), feeding rate (FR), daily number of meals (NMEAL), average intake per meal (INTMEAL), number of visits per meal (VISMEAL) and interval between meals (MEALIVL). All FB traits were then considered as the average per bird across the feeding test period. Three growth traits (body weight at the start - SBW and at the end of the feeding test - FBW, and weight gain over the test period - BWG), and 2 feed efficiency (FE) traits (Feed Conversion Rate - FCR and Residual Feed Intake - RFI) were also recorded. The (co)variance components were estimated using multitrait animal mixed models. For growth and FE, the heritability (h2) estimates were moderate, ranging from 0.20 ± 0.01 (BWG) to 0.32 ± 0.02 (RFI). Overall, the h2 estimates for FB traits were higher than for productive traits, ranging from 0.31 ± 0.01 (DFI) to 0.56 ± 0.02 (TSF). DFI presented high genetic correlations (0.53-0.86) with all performance traits. Conversely, the remaining FB traits presented null to moderate genetic correlations with these traits, ranging from -0.38 to 0.42 for growth traits and between -0.14 and 0.25 for FE traits. Genetic selection for favorable feeding behavior is expected to exhibit a fast genetic response. The results suggest that it is possible to consider different feeding strategies without compromising the genetic progress of FE. Conversely, breeding strategies prioritizing a higher bird activity might result in lighter broiler lines in the long term, given the negative genetic correlations between visit-related traits (NV, NVF, and NMEAL) and growth traits (SBW and FBW).

Benchmarking machine learning and parametric methods for genomic prediction of feed efficiency-related traits in Nellore cattle.

Genomic selection (GS) offers a promising opportunity for selecting more efficient animals to use consumed energy for maintenance and growth functions, impacting profitability and environmental sustainability. Here, we compared the prediction accuracy of multi-layer neural network (MLNN) and support vector regression (SVR) against single-trait (STGBLUP), multi-trait genomic best linear unbiased prediction (MTGBLUP), and Bayesian regression (BayesA, BayesB, BayesC, BRR, and BLasso) for feed efficiency (FE) traits. FE-related traits were measured in 1156 Nellore cattle from an experimental breeding program genotyped for ~ 300 K markers after quality control. Prediction accuracy (Acc) was evaluated using a forward validation splitting the dataset based on birth year, considering the phenotypes adjusted for the fixed effects and covariates as pseudo-phenotypes. The MLNN and SVR approaches were trained by randomly splitting the training population into fivefold to select the best hyperparameters. The results show that the machine learning methods (MLNN and SVR) and MTGBLUP outperformed STGBLUP and the Bayesian regression approaches, increasing the Acc by approximately 8.9%, 14.6%, and 13.7% using MLNN, SVR, and MTGBLUP, respectively. Acc for SVR and MTGBLUP were slightly different, ranging from 0.62 to 0.69 and 0.62 to 0.68, respectively, with empirically unbiased for both models (0.97 and 1.09). Our results indicated that SVR and MTGBLUBP approaches were more accurate in predicting FE-related traits than Bayesian regression and STGBLUP and seemed competitive for GS of complex phenotypes with various degrees of inheritance.

The oral microbiota is a reservoir for antimicrobial resistance: resistome and phenotypic resistance characteristics of oral biofilm in health, caries, and periodontitis.

BACKGROUND: Antimicrobial resistance (AMR) is an ever-growing threat to modern medicine and, according to the latest reports, it causes nearly twice as many deaths globally as AIDS or malaria. Elucidating reservoirs and dissemination routes of antimicrobial resistance genes (ARGs) are essential in fighting AMR. Human commensals represent an important reservoir, which is underexplored for the oral microbiota. Here, we set out to investigate the resistome and phenotypic resistance of oral biofilm microbiota from 179 orally healthy (H), caries active (C), and periodontally diseased (P) individuals (TRN: DRKS00013119, Registration date: 22.10.2022). The samples were analysed using shotgun metagenomic sequencing combined, for the first time, with culture technique. A selection of 997 isolates was tested for resistance to relevant antibiotics. RESULTS: The shotgun metagenomics sequencing resulted in 2,069,295,923 reads classified into 4856 species-level OTUs. PERMANOVA analysis of beta-diversity revealed significant differences between the groups regarding their microbiota composition and their ARG profile. The samples were clustered into three ecotypes based on their microbial composition. The bacterial composition of H and C samples greatly overlapped and was based on ecotypes 1 and 2 whereas ecotype 3 was only detected in periodontitis. We found 64 ARGs conveying resistance to 36 antibiotics, particularly to tetracycline, macrolide-lincosamide-streptogramin, and beta-lactam antibiotics, and a correspondingly high prevalence of phenotypic resistance. Based on the microbiota composition, these ARGs cluster in different resistotypes, and a higher prevalence is found in healthy and caries active than in periodontally diseased individuals. There was a significant association between the resistotypes and the ecotypes. Although numerous associations were found between specific antibiotic resistance and bacterial taxa, only a few taxa showed matching associations with both genotypic and phenotypic analyses. CONCLUSIONS: Our findings show the importance of the oral microbiota from different niches within the oral cavity as a reservoir for antibiotic resistance. Additionally, the present study showed the need for using more than one method to reveal antibiotic resistance within the total oral biofilm, as a clear mismatch between the shotgun metagenomics method and the phenotypic resistance characterization was shown.

Classification Performance of Machine Learning Methods for Identifying Resistance, Resilience, and Susceptibility to Haemonchus contortus Infections in Sheep.

This study investigated the feasibility of using easy-to-measure phenotypic traits to predict sheep resistant, resilient, and susceptible to gastrointestinal nematodes, compared the classification performance of multinomial logistic regression (MLR), linear discriminant analysis (LDA), random forest (RF), and artificial neural network (ANN) methods, and evaluated the applicability of the best classification model on each farm. The database comprised 3654 records of 1250 Santa Inês sheep from 6 farms. The animals were classified into resistant (2605 records), resilient (939 records), and susceptible (110 records) according to fecal egg count and packed cell volume. A random oversampling method was performed to balance the dataset. The classification methods were fitted using the information of age class, the month of record, farm, sex, Famacha© degree, body weight, and body condition score as predictors, and the resistance, resilience, and susceptibility to gastrointestinal nematodes as the target classes to be predicted considering data from all farms randomly. An additional leave-one-farm-out cross-validation technique was used to assess prediction quality across farms. The MLR and LDA models presented good performances in predicting susceptible and resistant animals. The results suggest that the use of readily available records and easily measurable traits may provide useful information for supporting management decisions at the farm level.

Influence of the long-term use of oral hygiene products containing stannous ions on the salivary microbiome - a randomized controlled trial.

Oral hygiene products containing tin are suitable to prevent erosive tooth wear, yet effects on the oral microbiota are not known yet. Therefore, this study determined the salivary microbiome of 16 participants using products with stannous ions for three years (TG) compared with a control group (CG) to assess their influence on the microbiota. Participants were included in a randomized controlled clinical trial (RCT) with biannual visits. Illumina Miseq sequencing revealed as most abundant genera: Streptococcus (TG 14.3%; CG 13.0%), Veillonella (TG 11.3%; CG 10.9%), Prevotella (TG 7.0%; CG 9.8%), Haemophilus (TG 6.6%; CG 7.2%), Porphyromonas (TG 5.9%, CG 5.1%), Leptotrichia (TG 5.8%; CG 4.9%), Actinomyces (TG 4.0%; CG 4.6%) and Neisseria (TG 5.4%; CG 4.2%). Beta-Diversity was not significantly different between groups at both time points, although significant differences between groups were found for certain taxa after three years. The genus Prevotella was found in higher abundance in CG whereas Neisseria and Granulicatella, health-associated taxa, were found more abundantly in TG. Salivary microbiota after three years reflected a composition associated with oral health, hence continual use as a preventive measure for dental erosion can be considered safe and benefitting oral health for patients with a high risk of erosion.

Left ventricular global function index predicts incident heart failure and cardiovascular disease in young adults: the coronary artery risk development in young adults (CARDIA) study.

AIMS: Left ventricular (LV) ejection fraction (LVEF) is an extensively utilized marker of LV function that is often interpreted without recourse to alterations in LV geometry and hypertrophy. LV global function index (LVGFI) is a novel marker that incorporates LV structure in the assessment of LV cardiac performance. We evaluated the prognostic utility of LVGFI from young adulthood into middle age for incident heart failure (HF) and cardiovascular disease (CVD) in comparison to LVEF. METHODS AND RESULTS: Included were 4107 CARDIA participants with echocardiograms in Year-5 (1990-1991). LVGFI was defined as LV stroke volume/LV global volume*100, where LV global volume was the sum of the LV mean cavity volume ((LV end-diastolic volume + LV end-systolic volume)/2) and myocardial volume (LV mass/density). Adjusted Cox proportional hazard models were utilized to predict incident HF and CVD outcomes. Mean age of participants was 29.8 ± 3.7 years, 55% female, and 48.7% black. Higher body mass index [beta coefficient (B) = -0.11 standard error (SE) = 0.02, P < 0.001], higher blood pressure (B = -0.04, SE = 0.01, P < 0.01), smoking (B = -0.82, SE = 0.22, P < 0.001), male sex (P < 0.001), and black race (P < 0.001) were associated with worse LVGFI. A total of 207 incident CVD events were observed over the course of 98 035 person-years at risk. Higher LVGFI was associated with HF, hazard ratio (HR) = 0.70, 95% confidence interval (CI) (0.54-0.91), hard CVD HR = 0.83, 95% CI (0.71-0.96), and all CVD HR = 0.83, 95% CI (0.72-0.96). For HF outcomes, Harrell's C-statistic for LVGFI (0.80) was greater than LVEF (0.66). CONCLUSION: LVGFI is a strong, independent predictor of incident HF and CVD that provides incremental prognostic value compared with LVEF. Male sex, black race, obesity, hypertension, and smoking are associated with worse LVGFI in the early adult lifespan.

Predictors of responses to immune checkpoint blockade in advanced melanoma.

Immune checkpoint blockers (ICB) have become pivotal therapies in the clinical armamentarium against metastatic melanoma (MMel). Given the frequency of immune related adverse events and increasing use of ICB, predictors of response to CTLA-4 and/or PD-1 blockade represent unmet clinical needs. Using a systems biology-based approach to an assessment of 779 paired blood and tumor markers in 37 stage III MMel patients, we analyzed association between blood immune parameters and the functional immune reactivity of tumor-infiltrating cells after ex vivo exposure to ICB. Based on this assay, we retrospectively observed, in eight cohorts enrolling 190 MMel patients treated with ipilimumab, that PD-L1 expression on peripheral T cells was prognostic on overall and progression-free survival. Moreover, detectable CD137 on circulating CD8+ T cells was associated with the disease-free status of resected stage III MMel patients after adjuvant ipilimumab + nivolumab (but not nivolumab alone). These biomarkers should be validated in prospective trials in MMel.The clinical management of metastatic melanoma requires predictors of the response to checkpoint blockade. Here, the authors use immunological assays to identify potential prognostic/predictive biomarkers in circulating blood cells and in tumor-infiltrating lymphocytes from patients with resected stage III melanoma.

Efeito do eugenol como agente mitigador do estresse no transporte de juvenis de tilápia do Nilo / Eugenol effect as a mitigate agent of stress in transport of Nile tilapia juveniles

O Brasil se destaca no cenário americano como um dos países com maior potencial para a piscicultura, principalmente a dulcícola. A tilápia do Nilo (Oreochromis niloticus) se destaca sendo a espécie mais cultivada em nosso país. Metodologias para diminuir a interferência de agentes estressores nas funções vitais e fisiológicas dos peixes são importantes durante o manejo. O presente trabalho teve como objetivo avaliar o efeito do eugenol nas respostas metabólicas e iônicas de juvenis de tilápia do Nilo, submetidos ao transporte em sacos plásticos, em diferentes densidades, a fim de verificar a eficiência do produto como agente mitigador do estresse. O eugenol foi utilizado na concentração de 15mg/L em água. As densidades avaliadas foram 4, 7 e 10 peixes L-1, equivalente a 140, 245 e 350g L-1. Após quatro horas de transporte foram avaliados os parâmetros metabólicos (glicose e lactato) e iônicos (cloreto, magnésio e cálcio), bem como a qualidade da água nos sacos plásticos. Em relação aos dois parâmetros metabólicos, o uso do eugenol com o intuito de diminuir as respostas do estresse não foi satisfatório. Houve elevação no nível de glicose nas densidades 140 e 350g L-1 imediatamente ao término do transporte, e o teor de lactato dos peixes na densidade 245g L-1 aumentou 24 horas depois, indicando que os animais não conseguiram manter a homeostase inicial. Dentre as concentrações de íons avaliados, o magnésio foi o que sofreu maior variação. Podemos concluir que a adição de 15mg L-1 de eugenol na água durante o transporte de juvenis de tilápia do Nilo nas densidades de 140, 245 e 350g L-1 não foi capaz de minimizar as respostas ao estresse...

Brazil stands out in the American scene as one of the countries with the greatest potential for fish farming mainly in fresh water. Nile tilapia (Oreochromis niloticus) stands out being the most cultivated fish species in our country. Methodologies to reduce the interference of stressors agents in vital and physiological functions of fishes are important during handling. This study aimed to evaluate the effect of eugenol in the metabolic and ionic responses of juvenile Nile tilapia, submitted to transport in plastic bags, at different densities in order to verify the efficiency of the product as an mitigate agent of stress. Eugenol was used at a concentration of 15mg L-1 in water. The evaluated densities were 4, 7 and 10 fish L-1, which were equivalent to 140, 245 and 350g L-1. After four hours of transport the metabolic (glucose and lactate) and ions parameters (chloride, magnesium and calcium) were evaluated, as well as the water quality in the plastic bags. For the two metabolic parameters, the use of the eugenol in order to reduce the stress response was not satisfactory. There was an increase in blood glucose level at the densities of 140 and 350g L-1 immediately after termination of the transport, and the level of fish lactate content at the density of 245g L-1 had increased after 24 hours indicating that the animals could not maintain the initial homeostasis. Among the concentrations of the evaluated ions magnesium suffered the greater variation. We can conclude that the addition of 15 mg L-1 of eugenol in the water during the transport of juvenile Nile tilapia at densities of 140, 245 and 350g L-1 was not able to minimize stress responses...

Antimicrobial Photoinactivation Using Visible Light Plus Water-Filtered Infrared-A (VIS + wIRA) Alters In Situ Oral Biofilms.

Recently, growing attention has been paid to antimicrobial photodynamic therapy (aPDT) in dentistry. Changing the microbial composition of initial and mature oral biofilm by aPDT using visible light plus water-filtered infrared-A wavelengths (VIS + wIRA) has not yet been investigated. Moreover, most aPDT studies have been conducted on planktonic bacterial cultures. Therefore, in the present clinical study we cultivated initial and mature oral biofilms in six healthy volunteers for 2 hours or 3 days, respectively. The biofilms were treated with aPDT using VIS+wIRA (200 mW cm(-2)), toluidine blue (TB) and chlorine e6 (Ce6) for 5 minutes. Chlorhexidine treated biofilm samples served as positive controls, while untreated biofilms served as negative controls. After aPDT treatment the colony forming units (CFU) of the biofilm samples were quantified, and the surviving bacteria were isolated in pure cultures and identified using MALDI-TOF, biochemical tests and 16S rDNA-sequencing. aPDT killed more than 99.9% of the initial viable bacterial count and 95% of the mature oral biofilm in situ, independent of the photosensitizer. The number of surviving bacterial species was highly reduced to 6 (TB) and 4 (Ce6) in the treated initial oral biofilm compared to the 20 different species of the untreated biofilm. The proportions of surviving bacterial species were also changed after TB- and Ce6-mediated aPDT of the mature oral biofilm, resulting in a shift in the microbial composition of the treated biofilm compared to that of the control biofilm. In conclusion, aPDT using VIS + wIRA showed a remarkable potential to eradicate both initial and mature oral biofilms, and also to markedly alter the remaining biofilm. This encourages the clinical use of aPDT with VIS + wIRA for the treatment of periimplantitis and periodontitis.

Supplementary sampling of obturation materials enhances microbial analysis of endodontic treatment failures: a proof of principle study.

OBJECTIVES: Root canal treatment failures often correlate with persistent biomaterial-associated endodontic infections. The aim of the present study was to assess the impact of endodontic obturation material sampling from root canals with posttreatment apical periodontitis on improving standard study protocols. MATERIALS AND METHODS: Samples from previously filled root canals and their corresponding endodontic filling materials were obtained from five root-filled teeth with posttreatment periradicular lesions. After cultivation, the isolated microorganisms were quantified and biochemically identified. Moreover, clone libraries were constructed after the amplification of bacterial 16S ribosomal DNA (rDNA) from the same samples. DNA from selected clones was sequenced to identify microbial species. Transmission electron microscopy (TEM) aided visualization of the detected bacteria. RESULTS: Overall, 22 taxa of the phyla Firmicutes, Actinobacteria, and Bacteroidetes were detected in both obturation and root canal samples by culture-dependent and culture-independent methods. Root canal fillings sheltered 17 species (3.30-7.50 × 10(3) CFU/ml). Of these, nine were detected solely in the retrieved obturation materials. The reinfected root canals harbored 13 taxa (3.48-7.36 × 10(3) CFU/ml). Obligate and facultative anaerobic bacteria prevailed. The number of different species ranged from 1 to 5 within a single sample. Fungi were not detected. CONCLUSIONS: Bacteria can colonize both root canals and endodontic fillings in vivo. CLINICAL RELEVANCE: Integrating the sampling of obturation materials with standard root canal sample collection offers a clearer insight into the actual microbial flora of reinfected root canals and improves the study protocols of secondary/persistent endodontic infections.

Novel Broad-Spectrum Antimicrobial Photoinactivation of In Situ Oral Biofilms by Visible Light plus Water-Filtered Infrared A.

Antimicrobial photodynamic therapy (APDT) has gained increased attention as an alternative treatment approach in various medical fields. However, the effect of APDT using visible light plus water-filtered infrared A (VIS + wIRA) on oral biofilms remains unexplored. For this purpose, initial and mature oral biofilms were obtained in situ; six healthy subjects wore individual upper jaw acrylic devices with bovine enamel slabs attached to their proximal sites for 2 h or 3 days. The biofilms were incubated with 100 µg ml(-1) toluidine blue O (TB) or chlorin e6 (Ce6) and irradiated with VIS + wIRA with an energy density of 200 mW cm(-2) for 5 min. After cultivation, the CFU of half of the treated biofilm samples were quantified, whereas following live/dead staining, the other half of the samples were monitored by confocal laser scanning microscopy (CLSM). TB- and Ce6-mediated APDT yielded a significant decrease of up to 3.8 and 5.7 log10 CFU for initial and mature oral biofilms, respectively. Quantification of the stained photoinactivated microorganisms confirmed these results. Overall, CLSM revealed the diffusion of the tested photosensitizers into the deepest biofilm layers after exposure to APDT. In particular, Ce6-aided APDT presented elevated permeability and higher effectiveness in eradicating 89.62% of biofilm bacteria compared to TB-aided APDT (82.25%) after 3 days. In conclusion, antimicrobial photoinactivation using VIS + wIRA proved highly potent in eradicating oral biofilms. Since APDT excludes the development of microbial resistance, it could supplement the pharmaceutical treatment of periodontitis or peri-implantitis.

New developments in vaccines, inhibitors of anthrax toxins, and antibiotic therapeutics for Bacillus anthracis.

Bacillus anthracis, the causative agent responsible for anthrax infections, poses a significant biodefense threat. There is a high mortality rate associated with untreated anthrax infections; specifically, inhalation anthrax is a particularly virulent form of infection with mortality rates close to 100%, even with aggressive treatment. Currently, a vaccine is not available to the general public and few antibiotics have been approved by the FDA for the treatment of inhalation anthrax. With the threat of natural or engineered bacterial resistance to antibiotics and the limited population for whom the current drugs are approved, there is a clear need for more effective treatments against this deadly infection. A comprehensive review of current research in drug discovery is presented in this article, including efforts to improve the purity and stability of vaccines, design inhibitors targeting the anthrax toxins, and identify inhibitors of novel enzyme targets. High resolution structural information for the anthrax toxins and several essential metabolic enzymes has played a significant role in aiding the structure-based design of potent and selective antibiotics.

Structure-based approach to pharmacophore identification, in silico screening, and three-dimensional quantitative structure-activity relationship studies for inhibitors of Trypanosoma cruzi dihydrofolate reductase function.

We have employed a structure-based three-dimensional quantitative structure-activity relationship (3D-QSAR) approach to predict the biochemical activity for inhibitors of T. cruzi dihydrofolate reductase-thymidylate synthase (DHFR-TS). Crystal structures of complexes of the enzyme with eight different inhibitors of the DHFR activity together with the structure in the substrate-free state (DHFR domain) were used to validate and refine docking poses of ligands that constitute likely active conformations. Structural information from these complexes formed the basis for the structure-based alignment used as input for the QSAR study. Contrary to indirect ligand-based approaches the strategy described here employs a direct receptor-based approach. The goal is to generate a library of selective lead inhibitors for further development as antiparasitic agents. 3D-QSAR models were obtained for T. cruzi DHFR-TS (30 inhibitors in learning set) and human DHFR (36 inhibitors in learning set) that show a very good agreement between experimental and predicted enzyme inhibition data. For crossvalidation of the QSAR model(s), we have used the 10% leave-one-out method. The derived 3D-QSAR models were tested against a few selected compounds (a small test set of six inhibitors for each enzyme) with known activity, which were not part of the learning set, and the quality of prediction of the initial 3D-QSAR models demonstrated that such studies are feasible. Further refinement of the models through integration of additional activity data and optimization of reliable docking poses is expected to lead to an improved predictive ability.

Towards species-specific antifolates.

Dihydrofolate reductase (DHFR) plays an essential role in cellular biochemistry and has been a well-recognized drug target for over fifty years. Antifolate inhibitors of DHFR, including clinically used therapeutics such as methotrexate, trimethoprim, and pyrimethamine have been successful as anticancer, antibacterial, antifungal and antiparasitic agents. As resistant strains of these microorganisms evolve and as new disease threats arise, the need for new antifolates that are potent and specific for infectious organisms becomes more pressing. Several new antifolates have been reported over the past decade; many of these are potent against a particular species of DHFR, but achieving the goal of potency and selectivity has proven to be more difficult. This review will describe recent advances in attaining species selectivity in developing new antifolates. Specifically, advances in developing inhibitors against Pneumocystis jirovecii and Plasmodium falciparum, the causative agents in pneumocystis pneumonia and malaria, respectively, will be presented.

Androgen suppression of GnRH-stimulated rat LHbeta gene transcription occurs through Sp1 sites in the distal GnRH-responsive promoter region.

Steroids may regulate LH subunit gene transcription by modulating hypothalamic GnRH pulse patterns or by acting at the pituitary gonadotrope to alter promoter activity. We tested direct pituitary effects of the androgen dihydrotestosterone (DHT) to modulate the rat LHbeta promoter in transfected LbetaT2 clonal gonadotrope cells and in pituitaries of transgenic mice expressing LHbeta-luciferase. The LHbeta promoter (-617 to +44 bp)-luciferase construct was stimulated in LbetaT2 cells 7- to 10-fold by GnRH. Androgen treatment had little effect on basal promoter activity but suppressed GnRH stimulation by approximately 75%. GnRH stimulation of LHbeta was also suppressed by DHT in isolated pituitary cells from male or female mice with functional nuclear ARs, but not in male littermates with mutant AR. GnRH stimulation of the LHbeta promoter requires interactions between a complex distal response element containing two specificity protein-1 (Sp1) binding sites and a CArG box, and a proximal element with two bipartite binding sites for steroidogenic factor-1 and early growth response protein-1 (Egr-1). DHT effectively suppressed promoter constructs with an intact distal response element. The distal response element does not bind AR, but AR reduces Sp1 binding to this region. Glutathione-S-transferase pull-down studies demonstrated direct interactions of AR with Sp1, which requires the DNA-binding domain of AR, and weaker interactions with Egr-1. We conclude that androgen suppression of the rat LHbeta promoter occurs primarily through direct interaction of AR with Sp1, with some possible role through binding to Egr-1. These interactions result in interference with GnRH-stimulated gene transcription by reducing cooperation between the distal and proximal GnRH response elements.

Notch signaling in lymphocyte development.

Signaling through Notch has been implicated in many cell-fate decisions during lymphocyte development. Recent studies have provided new clues--and raised new controversies--regarding the exact role that Notch signaling plays in the commitment of cells to the T-cell lineage. Progress has also been made in deducing the transcriptional program induced by Notch and the mechanism of oncogenic transformation by Notch in lymphocytes.

Assessing the professional development needs of public health professionals.

This article describes the major activities associated with designing and implementing a comprehensive, professional development needs assessment of public health professionals in four states of the South Central region of the United States. The instrumentation, research design, and summary results of the needs assessment described in this article may facilitate similar efforts by interested researchers and program developers to assess the public health professional workforce training needs. Results of needs assessments can be useful in designing and evaluating professional development curricula and activities to strengthen public health services in the United States.

Pharmacy student training in United States hospices.

Hospice is a quickly growing field in health care in the United States. As the pharmacist's role in providing patient care to persons at the end of life increases, considerations should be given for training pharmacy students in this area. The objectives of this study were to examine the frequency of pharmacy student education and training among United States hospice organizations as well as to describe factors of hospice organizations that are associated with pharmacy student training. This is the first study of which we are aware to address the availability of experiential rotations for pharmacy students in hospice programs. A one-page questionnaire was mailed to 3,762 hospice organizations with addresses obtained from the National Hospice and Palliative Care Organization (NHPCO). Following two mailings, eight weeks apart, 907 responses were obtained. Ninety-four (10 percent) hospices trained pharmacy students, 246 (27 percent) trained medical students, 357 (39 percent) trained social work students, and 623 (69 percent) trained nursing students. These results indicate that the experiential training needs of United States pharmacy students are being addressed. However, further study is warranted to describe the various experiences of pharmacy students within the hospice setting.

Approaches to solving the rigid receptor problem by identifying a minimal set of flexible residues during ligand docking.

BACKGROUND: Using fixed receptor sites derived from high-resolution crystal structures in structure-based drug design does not properly account for ligand-induced enzyme conformational change and imparts a bias into the discovery and design of novel ligands. We sought to facilitate the design of improved drug leads by defining residues most likely to change conformation, and then defining a minimal manifold of possible conformations of a target site for drug design based on a small number of identified flexible residues. RESULTS: The crystal structure of thymidylate synthase from an important pathogenic target Pneumocystis carinii (PcTS) bound to its substrate and the inhibitor, BW1843U89, is reported here and reveals a new conformation with respect to the structure of PcTS bound to substrate and the more conventional antifolate inhibitor, CB3717. We developed an algorithm for determining which residues provide 'soft spots' in the protein, regions where conformational adaptation suggests possible modifications for a drug lead that may yield higher affinity. Remodeling the active site of thymidylate synthase with new conformations for only three residues that were identified with this algorithm yields scores for ligands that are compatible with experimental kinetic data. CONCLUSIONS: Based on the examination of many protein/ligand complexes, we develop an algorithm (SOFTSPOTS) for identifying regions of a protein target that are more likely to accommodate plastically to regions of a drug molecule. Using these indicators we develop a second algorithm (PLASTIC) that provides a minimal manifold of possible conformations of a protein target for drug design, reducing the bias in structure-based drug design imparted by structures of enzymes co-crystallized with inhibitors.

The origin and regulation of autopathogenic T cells.

A clear understanding of the events surrounding the selection of autoreactive T cells in the thymus and their regulation in the periphery has eluded immunologists for years. However, recent work examining the expression of tissue-specific antigens in the thymus and the biochemistry of disease associated MHC alleles has provided important clues into the generation of the autoreactive T cell repertoire in the thymus. In addition, recent studies focusing on the role of immunoregulatory cytokines and cross-reactive peptide ligands has provided information regarding both the regulation and activation of autoreactive cells in the periphery. An improved understanding of the selection and regulation of autoreactive T cells will undoubtedly aid in the development of strategies for treating autoimmune disease.