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Precision health refers to personalized healthcare based on a person’s unique genetic, genomic, or omic composition within the context of lifestyle, social, economic, cultural and environmental influences to help individuals achieve well-being and optimal health. Precision health utilizes big data sets that combine omics (i.e. genomic sequence, protein, metabolite, and microbiome information) with clinical information and health outcomes to optimize disease diagnosis, treatment and prevention specific to each patient. Successful implementation of precision health requires interprofessional collaboration, community outreach efforts, and coordination of care, a mission that nurses are well-positioned to lead. Despite the surge of interest and attention to precision health, most nurses are not well-versed in precision health or its implications for the nursing profession. Based on a critical analysis of literature and expert opinions, this paper provides an overview of precision health and the importance of engaging the nursing profession for its implementation. Other topics reviewed in this paper include big data and omics, information science, integration of family health history in precision health, and nursing omics research in symptom science. The paper concludes with recommendations for nurse leaders in research, education, clinical practice, nursing administration and policy settings for which to develop strategic plans to implement precision health. Keywords: Nurses, Genomics, Omics, Precision medicine, Precision health

Background In the United States, access to genomic risk assessment, testing, and follow up care is most easily obtained by those who have sufficient financial, educational, and social resources. Multiple barriers limit the ability of populations without those resources to benefit from health care that integrates genomics in assessment of disease risk, diagnosis, and targeted treatment. Purpose To summarize barriers and potential actions to reduce genomic health care disparities. Method Summarize authors' views on discussions at a workshop hosted by the National Academy of Medicine. Discussion Barriers include access to health care providers that utilize genomics, genetic literacy of providers and patients, and absence of evidence of gene variants importance in ancestrally diverse underserved populations. Conclusion Engagement between underserved communities, health care providers, and policy makers is an essential component to raise awareness and seek solutions to barriers in access to genomic health care for all populations.

The microbiome, an intriguing component of the human body, composed of trillions of microorganisms, has prompted scientific exploration to identify and understand its function and role in health and disease. As associations between microbiome composition, disease, and symptoms accumulate, the future of medicine hinges upon a comprehensive knowledge of these microorganisms for patient care. The oral microbiome may provide valuable and efficient insight for predicting future changes in disease status, infection, or treatment course. The main aim of this pilot study was to characterize the oral microbiome in patients with severe aplastic anemia (SAA) during their therapeutic course. SAA is a hematologic disease characterized by bone marrow failure which if untreated is fatal. Treatment includes either hematopoietic stem cell transplantation (HSCT) or immunosuppressive therapy (IST). In this study, we examined the oral microbiome composition of 24 patients admitted to the National Institutes of Health (NIH) Clinical Center for experimental SAA treatment. Tongue brushings were collected to assess the effects of treatment on the oral microbiome. Twenty patients received standard IST (equine antithymocyte globulin and cyclosporine) plus eltrombopag. Four patients underwent HSCT. Oral specimens were obtained at three time points during treatment and clinical follow-up. Using a novel approach to 16S rRNA gene sequence analysis encompassing seven hypervariable regions, results demonstrated a predictable decrease in microbial diversity over time among the transplant patients. Linear discriminant analysis or LefSe reported a total of 14 statistically significant taxa (p

The novel coronavirus disease SARS‐CoV‐2 (COVID‐19) outbreak rapidly generated an unprecedented global, national, and state public health crisis with the need to rapidly develop alternate care sites (ACS) to care for COVID‐19 patients within an overburdened health care system. A hospital care model ACS to increase the health care capacity, provide care for mild to moderately symptomatic patients, and offer local self‐sustainment for a surge of patients was developed in Memphis, Tennessee located in Shelby County. We completed a temporary conversion of a large unused newspaper publication building to a health care facility for COVID‐19 patients. Developing an ACS from ground zero was met with many challenges, and throughout the process important lessons were learned. With the goal to complete the building conversion within a 28‐day timeframe, collaboration among the numerous governmental, health care, and private agencies was critical and nursing leadership was key to this process. The purpose of this paper is to describe the development of a COVID‐19 ACS in Memphis, TN, which has a large at‐risk population with limited access to health care. Specifically, we will discuss the strong leadership role of nursing faculty, key challenges, and lessons learned, as well as provide checklists and models for others in similar circumstances.

The Mediterranean diet (MD) has been reported to have beneficial effects on breast cancer and cardiovascular diseases. Recently, microRNAs (miRNAs) have been suggested as biomarkers for the diagnosis and disease prognosis in cancer and cardiovascular diseases. We evaluated the influence of the MD on the plasma-derived extracellular vesicle miRNA signature of overweight breast cancer survivors. Sixteen participants instructed to adhere to the MD for eight weeks were included in this study. To curate differentially expressed miRNAs after MD intervention, we employed two methods: significance analysis of microarrays and DESeq2. The selected miRNAs were analyzed using ingenuity pathway analysis. After an eight-week intervention, body mass index, waist circumference, fasting glucose, fasting insulin, and homeostatic model assessment for insulin resistance were significantly improved. Expression levels of 798 miRNAs were comprehensively analyzed, and 42 extracellular vesicle miRNAs were significantly differentially regulated after the eight-week MD (36 were up and 6 were down-regulated). We also identified enriched pathways in genes regulated by differentially expressed 42 miRNAs, which include signaling associated with breast cancer, energy metabolism, glucose metabolism, and insulin. Our study indicates that extracellular vesicle miRNAs differentially expressed as a result of the MD might be involved in the mechanisms that relate to cardiometabolic risk factors in overweight breast cancer survivors.

Background Obesity is common among kidney transplant recipients; However biological mediators of obesity are not well understood in this population. Because subcutaneous adipose tissue can be easily obtained during kidney transplant surgery, it provides a unique avenue for studying the mechanisms of obesity for this group. Although differential gene expression patterns were previously profiled for kidney transplant patients, gene co-expression patterns can shed light on gene modules not yet explored on the coordinative behaviors of gene transcription in biological and disease processes from a systems perspective. Methods In this study, we collected 29 demographic and clinical variables and matching microarray expression data for 26 kidney transplant patients. We conducted Weighted Gene Correlation Network Analysis (WGCNA) for 5758 genes with the highest average expression levels and related gene co-expression to clinical traits. Results A total of 35 co-expression modules were detected, two of which showed associations with obesity-related traits, mainly at baseline. Gene Ontology (GO) enrichment was found for these two clinical trait-associated modules. One module consisting of 129 genes was enriched for a variety of processes, including cellular homeostasis and immune responses. The other module consisting of 36 genes was enriched for tissue development processes. Conclusions Our study generated gene co-expression modules associated with obesity-related traits in kidney transplant patients and provided new insights regarding the cellular biological processes underlying obesity in this population.

PURPOSE: To establish a website to advance nursing research and education involving omics technologies and methodologies through facilitating collaborations, use of existing data and samples, mentoring, and access to training opportunities. METHODS: The Omics Nursing Science & Education Network (ONSEN) website was established following identification of gaps in omics nursing infrastructure and resources that could be addressed via a concerted, collaborative effort. ONSEN content was created using input from a workgroup of experts in genomics and other omics, education, practice, and nursing research. Alpha testing was conducted with workgroup members, followed by website refinements and enhancements, and subsequent beta testing by potential end users. ONSEN was launched in August 2018. FINDINGS: ONSEN has three main sections. The Education and Training section provides information on mentoring and pre- or postdoctoral opportunities in addition to a knowledge matrix to advance education and skills in genomic nursing science. The Research Collaborations section promotes awareness of ongoing omics nursing research in order to foster collaborations and sharing of samples or data among investigators with programs in omics nursing research or an interest in developing such programs. The Common Data Elements (CDE) section provides information on the benefits of incorporating CDEs into nursing science as well as links to National Institutes of Health resources to facilitate use of CDEs. CONCLUSIONS: ONSEN provides opportunities for nurse scientists and trainees to leverage samples and datasets, locate mentors and pre- or postdoctoral positions, further the use of CDEs, and enhance education and skills for integrating omics into nursing science. CLINICAL RELEVANCE: Advancing omics nursing science via ONSEN resources will accelerate the elucidation of the molecular underpinnings of disease and associated symptoms as well as inform the development of rapidly translatable, personalized intervention strategies, grounded in biological mechanisms, for improved health outcomes across populations and the lifespan.

The National Institute of Nursing Research (NINR) supports and conducts clinical and basic research, and research training across the behavioral and biological sciences. NINR has a long history of promoting the integration of omics technologies and methodologies into nursing research, with particular emphasis on symptom science. NINR’s continued efforts with omics approaches in symptom science include expanded training and collaborative research opportunities, as well as multidisciplinary partnerships.

Obesity and its related complications continue to be significant challenges for kidney transplant recipients. In previous studies, researchers have reported that brain-derived neurotrophic factor (BDNF) is closely associated with metabolic imbalance and obesity, but the role of BDNF in weight gain after kidney transplant has not been elucidated. The purpose of this pilot study was to explore the relationship between plasma BDNF levels and weight change. We examined associations between plasma BDNF levels measured at transplantation and 12 months later and measures of weight change during these 12 months in a sample of 55 kidney recipients (mean age of 48 years, 60% male, 56% African American). Of the 55 recipients, 49 had BDNF levels measured at baseline, 33 had BDNF levels measured at 12 months, and 27 had BDNF levels measured at both time points. We found that plasma BDNF levels at baseline (n = 49), but not at 12 months (n = 33), were significantly and positively correlated with the body mass index change (p = 0.037) and percentage weight change (p = 0.036). In addition, average plasma BDNF value at 12 months (307 ± 254 pg/ml) was significantly lower than at baseline (452 ± 345 pg/ml) in the 27 recipients with BDNF levels measured at both time points. Findings from this pilot work suggest that BDNF might serve as a regulator of weight change for kidney transplant related obesity.

Military personnel experience posttraumatic stress disorder (PTSD), which is associated with differential DNA methylation across the whole genome. However, the relationship between these DNA methylation patterns and clinically relevant increases in PTSD severity is not yet clearly understood. The purpose of this study was to identify differences in DNA methylation associated with PTSD symptoms and investigate DNA methylation changes related to increases in the severity of PTSD in military personnel. In this pilot study, a cross-sectional comparison was made between military personnel with PTSD (n = 8) and combat-matched controls without PTSD (n = 6). Symptom measures were obtained, and genome-wide DNA methylation was measured using methylated DNA immunoprecipitation (MeDIP-seq) from whole blood samples at baseline and 3 months later. A longitudinal comparison measured DNA methylation changes in military personnel with clinically relevant increases in PTSD symptoms between time points (PTSD onset) and compared methylation patterns to controls with no clinical changes in PTSD. In military personnel with elevated PTSD symptoms 3 months following baseline, 119 genes exhibited reduced methylation and 8 genes exhibited increased methylation. Genes with reduced methylation in the PTSD-onset group relate to the canonical pathways of netrin signaling, Wnt/Ca+ pathway, and axonal guidance signaling. These gene pathways relate to neurological disorders, and the current findings suggest that these epigenetic changes potentially relate to PTSD symptomology. This study provides some novel insights into the role of epigenetic changes in PTSD symptoms and the progression of PTSD symptoms in military personnel.

Since the establishment of the nursing profession, identifying and alleviating the subjective symptoms experienced by patients has been at the core of nursing practice. In supporting the scientific foundation for clinical practice, nursing science has maintained a consistent commitment to prevent, manage, and eliminate symptoms. Scientists from the intramural research program at the National Institute of Nursing Research (NINR), a component of the National Institutes of Health, developed a National Institutes of Health Symptom Science Model (NIH-SSM) to guide symptom science research programs engaged in the use of emerging "omic" methods such as the genotyping of symptom phenotypes. The NIH-SSM was developed based on the NINR intramural research program's success in designing and implementing methods for examining identified symptoms or symptom clusters. The NIH-SSM identifies the research process of characterizing symptom phenotypes, identifying and testing biomarkers, and ultimately developing clinical interventions in cancer-related fatigue, gastrointestinal disorders, and traumatic brain injuries. The purpose of this article was to demonstrate how scientists can apply the NIH-SSM, leading the broader scientific community in advancing personalized and precise clinical interventions.

Context: Kidney transplant recipients have great risk for gaining significant weight (upward of 10 kg) in the first year posttransplant. Clinical depression can occur in response to life situations and is associated with weight gain. Objective: To explore the association between demographic characteristics, weight change, and depression posttransplantation. Design: Secondary data analysis on longitudinal data collected for a larger observational study. Demographic characteristics, weight, and Center for Epidemiologic Studies Depression Scale (CES-D) data were obtained at baseline (BL) (time of transplantation), 6, and 12 months posttransplant. The CES-D scores were compared among time points using means, standard deviations, correlations, t tests, and chi-square as well as by multiple regression modeling. Setting: Regional transplant center in the mid-south United States. Participants: Forty-seven kidney transplant recipients (55% female, 57% African American, mean age 52.5 years). Weight change ranged from −18.1 to +24.8 kg. Results: In all, 62% reported baseline CES-D scores indicative of depression, with lower scores indicating less psychological distress at 6 and 12 months (47% and 49%, respectively). We found no significant differences among CES-D scores at any time point. Regression models found age, race, gender, and weight change to be predictive of CES-D scores at 6 months ( P = .04, R2 = .137). Age was the most influential ( P = .008), with older individuals more likely to obtain higher CES-D scores. Since the experience of depression is common at transplant and during the first year, it is important that transplant recipients be evaluated for depression early in the recovery period.

The NIH Blueprint for Neuroscience Research, a group of 14 NIH Institutes, Centers, and Offices (ICOs) that support research on the nervous system, recently released a Request for Information ( ) on the Proposed Funding Priorities

Objective:To explore gene expression after moderate blast exposure (vs baseline) and proteomic changes after moderate- (vs low-) blast exposure.Methods:Military personnel (N = 69) donated blood for quantification of protein level, and peak pressure exposures were detected by helmet sensors before and during a blast training program (10 days total). On day 7, some participants (n = 29) sustained a moderate blast (mean peak pressure = 7.9 psi) and were matched to participants with no/low-blast exposure during the training (n = 40). PAXgene tubes were collected from one training site at baseline and day 10; RNA-sequencing day 10 expression was compared with each participant's own baseline samples to identify genes and pathways differentially expressed in moderate blast-exposed participants. Changes in amyloid precursor protein (APP) from baseline to the day of blast and following 2 days were evaluated. Symptoms were assessed using a self-reported form.Results:We identified 1,803 differentially expressed genes after moderate blast exposure; the most altered network was APP. Significantly reduced levels of peripheral APP were detected the day after the moderate blast exposure and the following day. Protein concentrations correlated with the magnitude of the moderate blast exposure on days 8 and 9. APP concentrations returned to baseline levels 3 days following the blast, likely due to increases in the genetic expression of APP. Onset of concentration problems and headaches occurred after moderate blast.Conclusions:Moderate blast exposure results in a signature biological profile that includes acute APP reductions, followed by genetic expression increases and normalization of APP levels; these changes likely influence neuronal recovery.

Clinically useful predictors of weight gain could be used to reduce the epidemic of post-kidney transplant obesity and resulting co-morbidities. The purpose of this study was to identify predictors of weight gain at 12 months following kidney transplant in a cohort of 96 recipients. Demographic, clinical, and environmental data were obtained at transplant and 12 months. Descriptive, correlational, and Bayesian network analysis were used to identify predictors. For the 52 (55.9%) recipients who gained weight, the average amount gained was 9.18 ± 6.59 kg. From the 15 baseline factors that met inclusion criteria, Bayesian network modeling identified four baseline predictors for weight gain: younger age, higher carbohydrate consumption, higher trunk fat percentage, and higher perception of mental health quality of life. Three are modifiable through either pre- or immediate post-transplant clinical intervention programs.

Excessive weight gain is common after renal transplantation, but it is unknown whether environmental factors, such as food availability, contribute to this important clinical problem. We evaluated the effects of food availability (fast food restaurants, convenience stores, and grocery stores within 1, 2, and 3 mile buffers of transplant recipients' residences) on body mass index (BMI) change during the first year post-transplant. Participants (n = 299) resided in Memphis, Tennessee. BMI increased by 1.42 units (p

The views expressed in this article are tho organizations, institutions, government agen * Corresponding author: Janet K. Williams, 50 E-mail address: janet-williams@uiowa.ed 0029-6554/$ see front matter 2015 Elsevi http://dx.doi.org/10.1016/j.outlook.2014.08.00 Although genome sequencing using next-generation sequencing (NGS) has the potential to provide answers to clinical diagnosis and treatment questions (Atwal et al., 2014), there is limited evidence for many of these tests to guide clinical use. Genetic testing using NGS can yield a large amount of information, only some of which may be informative in answering the question for which the test was ordered and in some cases creates uncertainty and increased complexity of clinical care (Feero, 2014). These tests can be expensive, and the lack of evidence may influence whether thirdparty payers will cover the test cost. Regardless, genome sequencing using NGS (either whole genome sequencing [WGS] or whole exome sequencing [WES]) is beginning to be used clinically to identify causative variants in patients in whom several gene variants may result in similar clinical diseases. It is also used to

Purpose: This article reports on recommendations arising from an invitational workshop series held at the National Institutes of Health for the purposes of identifying critical genomics problems important to the health of the public that can be addressed through nursing science. The overall purpose of the Genomic Nursing State of the Science Initiative is to establish a nursing research blueprint based on gaps in the evidence and expert evaluation of the current state of the science and through public comment. Organizing Constructs: A Genomic Nursing State of the Science Advisory Panel was convened in 2012 to develop the nursing research blueprint. The Advisory Panel, which met via two webinars and two in-person meetings, considered existing evidence from evidence reviews, testimony from key stakeholder groups, presentations from experts in research synthesis, and public comment. Findings: The genomic nursing science blueprint arising from the Genomic Nursing State of Science Advisory Panel focuses on biologic plausibility studies as well as interventions likely to improve a variety of outcomes (e.g., clinical, economic, environmental). It also includes all care settings and diverse populations. The focus is on (a) the client, defined as person, family, community, or population; (b) the context, targeting informatics support systems, capacity building, education, and environmental influences; and (c) cross-cutting themes. It was agreed that building capacity to measure the impact of nursing actions on costs, quality, and outcomes of patient care is a strategic and

Metabolic syndrome (MetS) is a widely recognized concept generally defined as a clustering of risk factors including hypertension, insulin resistance, and obesity. This clustering of risk factors then leads to an increased risk for diabetes and cardiovascular disease (CVD; Ford, Li, & Zhao, 2010). It is estimated that in the United States, MetS affects more than 34% of the population and contributes to a threefold increase in cardiovascular-related deaths (Ford et al., 2010). Still, diagnostic criteria of MetS differ among experts and organizations (American Association of Clinical Endocrinologists [AACE]; National Cholesterol Education Program Adult Treatment Panel III [ATPIII]; World Health Organization [WHO]), and this difference leads to a lack of consensus in the clinical utility of the diagnosis (Simmons et al., 2010). In 2009, an effort was made by many expert organizations to standardize the diagnosis of this complex disorder by using a harmonizing definition (Table 1; Alberti et al., 2009). Diagnosis of MetS using the harmonizing definition is contingent on meeting a threshold value in at least three of the following five factors: waist circumference, triglycerides, high-density lipoprotein-cholesterol, blood pressure, and glucose (Alberti et al., 2009). Table 1 Harmonizing Definition of Metabolic Syndrome (MetS) Even with a harmonizing definition, the global prevalence of MetS can be difficult to estimate because it can affect patients by gender groupings differently. For example, in India, the prevalence of MetS for men is approximately 8%, whereas for women it is estimated at 46% (Cameron, Shaw, & Zimmet, 2004). In Iran, 30% of men and 55% of women met the diagnostic criteria for MetS (Azimi-Nezhad et al., 2012). Some of these differences are clearly due to gender, but racial and ethnic differences may also play a role. When the U.S. population is divided by both gender and ethnicity, adult African American women have a 38.8% prevalence of MetS, and African American men have 25.3% prevalence, whereas their Caucasian counterparts have a prevalence of 31.5% and 37.2%, respectively (Roger et al., 2011). Risk factors associated with the development of MetS are similar to those associated with hypertension, diabetes, renal disease, and obesity, with variables such as lifestyle, gender, ethnicity, and genomic precursors playing important roles in the development of MetS. Because MetS is the combination of the effects of more than one risk factor, pinpointing a causative genotype has been difficult. Genomic and molecular methodologies including linkage analysis, genome-wide association (GWA) studies, epigenetics, and proteomics have all been used to attempt to unravel this genetic puzzle (Table 2). The results of these studies have shown that MetS is a polygenetic (under the control of more than one gene) condition with varying influence from multiple environmental factors. Therefore the inheritance of a single specific risk allele may be less important than the additive effects of many alleles, some of which may be “high risk,” some which may be “moderate risk,” and others of which may be “low risk.” However, the current understanding of the disease shows that certain risk alleles that have relevance for the individual components of the disease may also have an overlapping value in the overall risk for the development of MetS. This review will examine the possible contributions of cardiovascular, obesity, and diabetes genomic risk factors to the development of MetS as reported in the literature. Table 2 Definitions of Common Methodologies Used in the Study of Metabolic Syndrome

Purpose:In some recipients, significant weight gain occurs after kidney transplantation. Weight gain is associated with poor outcomes, particularly increased cardiovascular risk. In this study, we characterized changes in body mass index and body fat mass and compared them based on gender and race.Methods:Fifty-two kidney transplant recipients (aged ≥18 years old, 50% men, 58% African American) were enrolled into a prospective study. Body mass index and body fat mass were measured at baseline and 12 months posttransplant. Body fat mass was determined by dual-energy X-ray absorptiometry.Results:The mean increase in body weight was 3.7kg at 12 months; 36.5% (n=19) gained at least 10% of their baseline body weight. Body mass index, percentage of total body fat, and trunk fat were significantly increased. In subgroups, women and African American showed significant increases in body mass index and body fat measures. More participants were classified as obese based on total body fat compared to body mass index. Calories from fat were significantly increased at 12 months and associated with increased body mass index, total body fat, and trunk fat. Days of physical activity were significantly increased.Conclusion:Both body mass index and total body fat mass were significantly increased at 12 months following kidney transplantation, especially for women and African Americans. Importantly, more participants were classified as obese based on total body fat compared to body mass index. Relevant nutrition and physical intervention should be provided, and both body mass index and body fat mass should be evaluated when monitoring weight gain.

Older age consistently relates to a lesser ability to fully recover from a traumatic brain injury (TBI); however, there is limited data to explicate the nature of age-related risks. This study was undertaken to determine the relationship of age on gene-activity following a TBI, and how this biomarker relates to changes in neuroimaging findings. A younger group (between the ages of 19-35 years), and an older group (between the ages of 60-89 years) were compared on global gene-activity within 48 hours following a TBI, and then at follow-up within 1-week. At each time-point gene-expression profiles, and imaging findings from magnetic resonance imaging (MRI) and computed tomography (CT) were obtained and compared. The younger group was found to have greater gene expression of inflammatory regulatory genes at 48 hours and 1 week in genes such as basic leucine zipper transcription factor 2 (BACH2), leucine rich repeat neuronal 3 (LRRN3) and lymphoid enhancer-binding factor 1 (LEF1) compared to the older group. In the older group, there was increased activity in genes within S100 family, including calcium binding protein P (S100P) and S100 calcium binding protein A8 (S100A8), which previous studies have linked to poor recovery from TBI. The older group also had reduced activity of the noggin (NOG) gene, which is a member of the transforming growth factor-β (TGF-β) superfamily and is linked to neuro-recovery and neuro-regeneration compared to the younger group. We link these gene-expression findings that were validated to neuroimaging, reporting that in the older group with a MRI finding of TBI related damage, there was a lesser likelihood to then have a negative MRI finding at follow-up compared to the younger group. Together, these data indicate that age impacts gene activity following a TBI, and suggests that this differential activity related to immune regulation and neuro-recovery contributes to a lesser likelihood of neuronal recovery in older patients as indicated through neuroimaging.

Objectives There is much speculation on which hypervariable region provides the highest bacterial specificity in 16S rRNA sequencing. The optimum solution to prevent bias and to obtain a comprehensive view of complex bacterial communities would be to sequence the entire 16S rRNA gene; however, this is not possible with second generation standard library design and short-read next-generation sequencing technology. Methods This paper examines a new process using seven hypervariable or V regions of the 16S rRNA (six amplicons: V2, V3, V4, V6-7, V8, and V9) processed simultaneously on the Ion Torrent Personal Genome Machine (Life Technologies, Grand Island, NY). Four mock samples were amplified using the 16S Ion Metagenomics Kit™ (Life Technologies) and their sequencing data is subjected to a novel analytical pipeline. Results Results are presented at family and genus level. The Kullback-Leibler divergence (DKL), a measure of the departure of the computed from the nominal bacterial distribution in the mock samples, was used to infer which region performed best at the family and genus levels. Three different hypervariable regions, V2, V4, and V6-7, produced the lowest divergence compared to the known mock sample. The V9 region gave the highest (worst) average DKL while the V4 gave the lowest (best) average DKL. In addition to having a high DKL, the V9 region in both the forward and reverse directions performed the worst finding only 17% and 53% of the known family level and 12% and 47% of the genus level bacteria, while results from the forward and reverse V4 region identified all 17 family level bacteria. Conclusions The results of our analysis have shown that our sequencing methods using 6 hypervariable regions of the 16S rRNA and subsequent analysis is valid. This method also allowed for the assessment of how well each of the variable regions might perform simultaneously. Our findings will provide the basis for future work intended to assess microbial abundance at different time points throughout a clinical protocol.

Background Genomic discoveries in the era of precision medicine hold the promise for tailoring healthcare, symptom management, and research efforts including targeting rare and common diseases through the identification and implementation of genomic–based risk assessment, treatment, and management. However, the translation of these discoveries into tangible benefits for the health of individuals, families, and the public is evolving. Purpose In this article, members of the Genetics Expert Panel identify opportunities for action to increase advanced practice nursing and research contributions toward improving genomic health for all individuals and populations. Discussion Identified opportunities are within the areas of: bolstering genomic focused advanced practice registered nurse practice, research and education efforts; deriving new knowledge about disease biology, risk assessment, treatment efficacy, drug safety and self-management; improving resources and systems that combine genomic information with other healthcare data; and advocating for patient and family benefits and equitable access to genomic healthcare resources.

Introduction: Healthcare Associated Infections (HAI) are associated with increased cost, morbidity, and mortality. Risk factors for HAI are well established; however, the independent risk associated with an exaggerated inflammatory response has not been adequately studied. Hypothesis: The objective was to investigate baseline cytokine levels (IL-6, IL-10), their polymorphisms (RS1800795, RS1800896) and environment on the development of new HAI in ICU patients admitted with sepsis. Methods: This prospective observational study evaluated 78 patients admitted to ICU with early sepsis ( Results: Seventeen HAI were identified. The final regression model included APACHE II, invasive device score, antibiotics prior to ICU, and IL6 RS1800795. Based on the multivariate model, for every 1-point increase in APACHE II score there was a 3.4% increased risk for developing HAI. Cumulative invasive device score and early antibiotic use reduced the risk of HAI. In the univariate model, the presence of IL6 polymorphism RS1800795 CC or CG resulted in a higher risk of HAI, and this risk increased in the multivariate model. Conclusions: The higher risk associated with IL-6 polymorphism RS1800795 CG and CC genotypes is consistent with higher risk associated with the C allele reported in the literature. Severity of illness is a known contributor to HAI. Sepsis guideline adherence (early antibiotics and judicious device use) may prevent HAI. We found no significant association with cytokine levels in our models. More analysis with a larger sample is needed to fully explore the relationships of these variables.

Context— Weight gain after kidney transplantation affects 50% to 90% of kidney transplant recipients. Factors leading to weight gain in recipients are thought to include a change in lifestyle (eg, dietary intake and physical activity), age, race, sex, and immunosuppressant medications. Objective— To examine dietary intake and physical activity of kidney transplant recipients at baseline and 3 and 6 months after transplantation to identify contributing factors to weight gain. Design— Descriptive, correlational study using secondary data from a larger parent study examining genetic and environmental contributors to weight gain after kidney transplantation. Participants and Setting— Forty-four kidney transplant recipients at a mid-South university hospital-based transplant institute who had dietary intake, physical activity, and clinical data at baseline and 3 and 6 months were included. Main Outcome Measures— Dietary intake, physical activity, weight, and body mass index. Results— Mean weight gain increased by 6% from baseline to 6 months. Interestingly, dietary intake did not change significantly from baseline to 6 months. Hours of sleep per day decreased during the same period ( P = .02). Dietary intake, physical activity, age, race, sex, and immunosuppression showed no significant relationship to weight gain at 6 months. Conclusion— Little consideration has been given to dietary intake and physical activity of kidney transplant recipients and the effects of these variables on weight gain. Further studies with a larger sample are needed, as weight gain after transplantation is a significant risk factor for diminished long-term outcomes.

In this methods article, we describe collection and storage of clinically acquired blood and adipose samples for transcript analysis in an ongoing study exploring obesity in renal transplant recipients. Total ribonucleic acid (RNA) was isolated from whole blood using the LeukoLOCK™ Total RNA Isolation System (n = 4), and comparisons between fresh and frozen samples were made. Abdominal subcutaneous adipose samples (n = 4) were obtained during kidney transplantation, flash frozen, and stored at −80°C. Adipose RNA was extracted using either the STAT-60 method modified for lipids or Trizol plus RNeasy extraction. Affymetrix HG-U133 plus 2.0 arrays and Affymetrix Human Gene 1.0 ST arrays were used for both blood and adipose transcriptome analysis. Purity, quality, and quantity of RNA were high with comparable results using both array platforms. © 2011 Wiley Periodicals, Inc. Res Nurs Health 34:408–418, 2011

Pancreas transplant recipients experience graft loss in spite of improvements in immunosuppressant therapies and diagnostic technologies. Therefore, a method to improve detection and management of acute rejection is needed. This longitudinal study investigated the usefulness of three biomarkers, granzyme B, perforin, and HLA-DR, measured by real-time PCR on peripheral blood mononuclear cells, for their ability to detect acute rejection and its resolution in 13 recipients of pancreas allograft. Data demonstrated that pre-transplant baseline expression of biomarkers decreased following the initiation of immunosuppression. Throughout follow-up (range 3–27 months), individuals without acute rejection episodes had little variation in their biomarker levels. Recipients with biopsy-proven rejection had a significant increase in the levels of biomarkers as early as 5 weeks before clinical rejection diagnosis. Furthermore, all seven patients with biopsy-proven rejection demonstrated a decrease in the levels of granzyme B and perforin following the increased immunosuppression for the treatment of rejection. This is the first clinical serial measurement of biomarkers in pancreas patients. The data demonstrate that upregulation of granzyme B, perforin, and HLA-DR in peripheral blood mononuclear cells are sensitive to changes in the immune environment and could possibly be used to identify those patients at higher risk of rejection.

Nurses are well positioned to incorporate genetic and genomic information across all aspects of the United States (U.S.) health care system. Nurses, the most trusted health professionals [1], make unique contributions to the field of human genetics and genomics and complement the work of other health care providers to improve the health of the public. Health care benefits greatly from the unprecedented and ongoing work elucidating the genetic/genomic basis of health, illness, disease risk, and treatment response. The progress in genetics and genomics is applicable to the entire spectrum of health care and all health professionals and as such to the entire nursing profession (2.9 million) [2] in the United States regardless of role, clinical specialty, or academic preparation. The majority of disease risk, health conditions and the therapies used to treat those conditions have a genetic and/or genomic element influenced by environmental, lifestyle, and other factors therefore impacting the entire nursing profession [3]. Nurses have intimate knowledge of the patient’s, family’s, and community’s perspectives; an understanding of biologic underpinnings; experience with genetic/genomic technologies and information; skills in communication and building coalitions; and most importantly, the public’s trust. Across the lifespan, nursing focuses on health promotion and disease prevention, which is an integral component of genetic/genomic health care practices. Awareness of nurses’ strengths and skills, together with the recognition that prevention is the hallmark of genetic/genomic health care, will inform public policymaking groups as they address issues that affect heath care practice in the area of genetics/genomics. Policy making process will be informed with new insights will be gained with inclusion of nurses and professional nursing organizations. These policies can facilitate the ability of U.S. health care systems to use genetic/genomic knowledge to promote health and manage disease.

Background Relatively few transplant recipients participate in regular physical activity. There is a paucity of information regarding barriers and facilitators to physical activity in kidney transplant recipients. Objective To investigate factors that transplant recipients perceive as barriers and facilitators to physical activity and whether these barriers and facilitators differ on the basis of transplant patients' reported level of physical activity. Method—Using a descriptive, cross-sectional design, a convenience sample of 100 kidney transplant recipients provided survey data on a physical activity questionnaire on their current levels of physical activity and determinants that influence participation in physical activity. Results The “rarely/never” (32%) physical activity group reported more frequent barriers and the “often” (20%) group reported the least. Overall, perceived facilitators were reported most frequently by the “often” (80%) physical activity group and least by the “rarely/never” (67%) group. Conclusions Motivational interventions should focus on diminishing perceived barriers in the less physically active transplant recipients and enhancing perception of health-related facilitators. Nurses should be innovative in customizing interventions, recommending structured physical activity programs, and encouraging less structured, enjoyable ways to increase activities that expend energy. Interventions with achievable outcomes and realistic expectations are more acceptable to patients.

Objective Weight gain after kidney transplantation (Tx) is considered a risk factor for poor outcomes. Increased oxidative stress is associated with not only chronic renal disease and Tx, but also obesity and cardiovascular disease. The aim of this pilot study was to test whether oxidative stress is related to weight gain at 12-months after kidney Tx and to obtain preliminary insight into potential mechanisms involved. Design & methods Recipients (n = 33) were classified into two groups; weight loss and weight gain, based on their weight changes at 12-months post-transplant. Total antioxidant capacity (TAOC) and lipid peroxidation (TBARS) were measured to evaluate oxidative stress from plasma at baseline and 12-months. A secondary data analysis was conducted to identify potential gene regulation. Results Seventeen recipients lost (− 6.63 ± 5.52 kg), and sixteen recipients gained weight (8.94 ± 6.18 kg). TAOC was significantly decreased at 12-months compared to baseline for the total group, however, there was no significant difference between groups at either time point. TBARS was higher in weight gain group, at both time points, and it was significantly higher at 12-months (p = 0.012). Gene expression profiling analysis showed that 7 transcripts annotated to reactive oxygen species related genes in adipose tissue were expressed significantly lower in weight gain group at baseline, which might be a negative feedback mechanism to reduce oxidative stress. Conclusion These results may indicate that elevated oxidative stress (TBARS) is associated with weight gain after kidney Tx and that incorporating early clinical prevention strategies known to decrease oxidative stress could be recommended.

OBJECTIVE: To determine changes in global gene expression in peripheral leukocytes in the acute and subacute periods following a sports-related concussion in athletes. SETTING: Samples were collected at 2 universities in Rochester, New York. PARTICIPANTS: Fifteen contact sport athletes who experienced a sports-related concussion, and 16 nonconcussed teammates served as controls. DESIGN: Blood samples were collected at the start of the season (baseline), within 6 hours of injury (acute), and at 7 days (subacute) postinjury. Differential gene expression was measured using the GeneChip 3' in vitro transcription Expression kit and Affymetrix microarrays, and genes with fold difference of 2 or more were identified using Partek. MAIN MEASURES: Whole genome differential gene expression, and cognitive and balance measures to asses for clinical symptoms pre- and postinjury. RESULTS: In the concussed athletes, we observed 67 downregulated and 4 upregulated genes in the acute period and 63 downregulated and 2 upregulated genes in the subacute period compared with baseline. Of these, there were 28 genes from both time points involved in the inflammatory response. No significant differences in gene expression were detected in the control group. CONCLUSIONS: Our findings suggest that recovery from sports-related concussion relates to modulation of inflammation through cytokine and chemokine gene pathways, which can contribute to future development of personalized therapeutic agents. Language: en

Kidney transplant recipients often experience a significant amount of weight gain in the first year post-transplantation. While demographic factors such as age, race, and sex have been associated with weight gain in this population, these factors do not explain all of the variability seen. A number of studies have suggested that genetics also plays a critical role in weight changes. Recently, alterations in the activity of the neurotransmitter dopamine have been associated with weight change, and gene expression studies in kidney transplant recipients have supported this association. The purpose of this pilot study is to first examine the feasibility and methodology, and then to examine the associations of age, race, sex, and genotype for 13 SNPs and 3 VNTRs in 9 dopaminergic pathway genes (ANKK1, DRD2, DRD3, DRD4, SLC6A3/DAT1, MAOA, MAOB, COMT, CPE) for associations with percent weight change at 12 months post-transplantation. Seventy kidney transplant recipients had demographic and clinical data collected as a part of a larger observational study. DNA was extracted from repository buffy coat samples taken at the time of transplant, and genotyped using Taqman and PCR based methods. Three SNPs were independently associated with percent weight change: ANKK1 rs1800497 (r = -0.28, p = 0.05), SLC6A3/DAT1 rs6347 (p = 0.046), and CPE rs1946816 (p = 0.028). Stepwise regression modelling confirmed the combined associations of age (p = 0.0021), DRD4 VNTR 4/5 genotype (p = 0.0074), and SLC6A3/DAT1 rs6347 CC genotype (p = 0.0009) and TT genotype (p = 0.0004) with percent weight change in a smaller sample (n = 35) of these kidney transplant recipients that had complete genotyping. These associations indicate that there may be a genetic, and an age component to weight changes post transplantation.

The National Institute of Nursing Research (NINR) intramural research program conducts basic and biobehavioral symptom science research and provides training opportunities to the next generation of scientists. Recently, the NINR developed the Symptom Science Model to guide research. The model begins by identifying a complex symptom, which is then characterized into a phenotype with biological and clinical data, followed by the application of genomic and other discovery methodologies to illuminate targets for therapeutic and clinical interventions. Using the Symptom Science Model, the intramural program organizes and implements biobehavioral, symptom management, and tissue injury research. The model is also used as a framework for training and career development opportunities including on-campus trainings and research fellowship. The scientific goal of the intramural program is to enhance patient outcomes including health-related quality of life. Achieving this goal requires a long-term vision, continued resource investments, and a commitment to mentoring our next generation of scientists.

Background Health care-associated infections (HAIs) are the target of many well-known preventive measures in the intensive care unit (ICU); however, little is known about post-sepsis-induced immunosuppression. Objectives This study explores the relationship between baseline plasma levels of inflammatory cytokines interleukin 6 (IL-6), IL-10, and IL-6:IL-10 and subsequent development of HAIs in patients with admitted with sepsis. Methods Prospective observational study was conducted among veterans admitted to the ICU with sepsis and monitored daily through ICU discharge (up to 28 days) to investigate HAI development. Baseline plasma IL-6 and IL-10 levels were measured with a multiplex bead based assay. Exaggerated systemic inflammation was defined as the fourth quartile (IL-6 and IL-10) compared with other quartiles. Results We recruited 78 patients over 18 months, primarily older (65.5 ± 12.6 years) men (94.9%) with underlying comorbidities (93.9%) and a high severity of illness (Acute Physiologic and Chronic Health Evaluation II score 20.6 ± 6.4). Seventeen patients (21.7%) developed at least 1 HAI, and candidemia was the leading infection. Patients with exaggerated baseline systemic inflammation developed a nonsignificantly higher proportion of HAI as compared with those not developing HAI (IL-6: 31.6% vs 18.6%, P = .55; IL-10: 26.3% vs 20.3%, P = .43). Discussion Patients with exaggerated systemic inflammation had a higher severity of illness, but not a statistically significant higher incidence of HAI. A larger, more adequately powered sample with serial cytokine measures is needed. Routine surveillance cultures are needed. Health care-associated infection may occur in the absence of fever, and the emerging incidence of Candida is a concern. Immune suppression after sepsis should be recognized as a risk for HAI development. Antibiotic therapy should be targeted with prompt de-escalation of empiric therapy per established guidelines to preserve normal flora.

As the incidence of obesity continues to rise, clinicians and researchers alike are seeking explanations for why some people become obese while others do not. While caloric intake and physical activity most certainly play a role, some individuals continue to gain weight despite careful attention to these factors. Increasing evidence suggests that genetics may play a role, with one potential explanation being genetic variability in genes within the neurotransmitter dopamine pathway. This variability can lead to a disordered experience with the rewarding properties of food. This review of literature examines the extant knowledge about the relationship between obesity and the dopaminergic reward pathways in the brain, with particularly strong evidence provided from neuroimaging and neurogenetic data. Pubmed, Google Scholar, and Cumulative Index to Nursing and Allied Health Literature searches were conducted with the search terms dopamine, obesity, weight gain, food addiction, brain regions relevant to the mesocortical and mesolimbic (reward) pathways, and relevant dopaminergic genes and receptors. These terms returned over 200 articles. Other than a few sentinel articles, articles were published between 1993 and 2013. These data suggest a conceptual model for obesity that emphasizes dopaminergic genetic contributions as well as more traditional risk factors for obesity, such as demographics (age, race, and gender), physical activity, diet, and medications. A greater understanding of variables contributing to weight gain and obesity is imperative for effective clinical treatment.

This pilot study examined associations among patterns of gastric myoelectrical activity, symptoms of gastroparesis, years of diabetes, months of dialysis, and use of gastrointestinal medications in gastroparetic kidney-pancreas (KP) transplant recipients. Electrogastrography (EGG) and gastric symptom data were obtained from 42 transplant recipients before and after transplant (6, 12, and 24 months). Recipients were 38 +/- 7 yr of age, 88% Whites, and 60% male; 97% had hypertension. All had functioning grafts post-transplant (mean creatinine, 1.59 +/- 0.66 mg/dL, and serum glucose 91.97 +/- 24.92 mg/dL). Sixteen subjects had normal EGG (2.7-3.2 cycles per minute, cpm); two were tachygastric (>3.2 cpm) at all time points; one remained bradygastric (

OBJECTIVE: This study investigated (1) the effect of octreotide-LAR (Sandostatin-LAR®Depot; Novartis) on the enteroinsular axis in a biracial cohort of severely obese adults, (2) whether octreotide suppression of insulin secretion occurs by both a direct β-cell effect and through mediating a glucagon-like peptide 1 (GLP-1) response, and (3) whether differences in GLP-1 concentrations could explain racial differences in insulin concentrations. DESIGN: Prospective, open-label trial using a pre–post test design. SETTING: Single university, clinical research center. SUBJECTS: In all, 42 healthy, severely obese Caucasian and African-American (AA) adults (93% female, 64% Caucasian, age=37.8±1.2 y, weight=123±4.2 kg, BMI=44.5±1 kg/m2), recruited through physician referral and newspaper ads, participated in the study. INTERVENTIONS: Indices of β-cell activity, insulin and GLP-1 response before and during a 75-gm oral glucose tolerance test were determined before and after 24 weeks of octreotide-LAR. RESULTS: AA exhibited higher β-cell activity, and insulin and GLP-1 concentrations than Caucasians. Octreotide-LAR suppressed the insulin and GLP-1 levels in both groups.