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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.

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.

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.

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

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.

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: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.

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.

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.

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.

With the rapid expansion of genomic health care, nurses are exposed to emerging genetic technologies in a wide variety of clinical and research settings; however, nurses have limited knowledge about these technologies. The polymerase chain reaction procedure, which is the foundation of current molecular genetic technologies, real-time polymerase chain reaction, and microarray analysis are described in this article. The applications, strengths, and limitations of each technology are discussed.

A prospective evaluation of 37 kidney and 20 kidney-pancreas transplant recipients was conducted to assess the relationship between pre-to posttransplant changes in heart rate variability (HRV) and quality of life (QoL). Assessments of 24-hour interbeat variability (pNN50 and rMSSD, SDNN, SDANN) and power spectral analysis of total, low (sympathetic), and high (parasympathetic) frequency components of HRV were performed. The Sickness Impact Profile was used to assess three dimensions of QoL (physical, psychosocial, and total functioning) prior to and at 6 months following transplantation. Changes in vagally mediated time domain measures of HRV were related to changes in physical and total functioning. Stronger correlations occurred between biobehavioral measures in kidney-pancreas recipients, with the strongest relationships occurring between changes in HRV frequency domain measures and changes in physical functioning. Findings indicate that changes in HRV and QoL are related, suggesting that interventions that enhance transplant recipients’ HRV may also enhance their QoL.

Cardiac autonomic function has been associated with mortality in patients with end-stage renal disease. It is unknown whether end-stage renal disease patients who have succumbed to sudden cardiac death can be better identified by a newer test of heart rate variability that uses spectral analysis, rather than laboratory evoked measures.This series of studies sought to characterize cardiac autonomic function in patients awaiting kidney transplantation, identify factors associated with heart rate variability, identify tests which distinguish patients at-risk for death, and compare evoked measures with 24-hour heart rate variability measures.Data were collected on 184 nondiabetics, 60 type 1 diabetics, and 34 type 2 diabetics with end-stage renal disease, all of whom had been referred for kidney transplantation.The 278 patients and 67 healthy control subjects underwent evoked tests (changes in heart rate with deep breathing and Valsalva maneuver) and 24-hour heart rate variability Holter monitoring (time and frequency domains). Five patients had sudden cardiac deaths during the study.Data showed that end-stage renal disease patients, particularly diabetics, had compromised autonomic function. The standard deviation of all R-to-R intervals for the electrocardiogram recording (50 minutes in 60% of the deceased patients), a 24-hour heart rate variability time domain measure, holds the promise of identifying patients at increased risk for death. Exercise was identified as a factor associated with better autonomic function. Examining relationships between 24-hour heart rate variability and characteristics of patients who succumb to death could make quantification of the mortality risk for individual pretransplant end-stage renal disease patients possible, much as it has in other populations. The data from this study may also make it possible to design interventions, such as exercise, aimed at reducing mortality risk.

Background The aim of this study was to investigate the association of gene expression profiles in subcutaneous adipose tissue with weight change in kidney transplant recipients and to gain insights into the underlying mechanisms of weight gain. Methodology/Principal Findings A secondary data analysis was done on a subgroup (n = 26) of existing clinical and gene expression data from a larger prospective longitudinal study examining factors contributing to weight gain in transplant recipients. Measurements taken included adipose tissue gene expression profiles at time of transplant, baseline and six-month weight, and demographic data. Using multivariate linear regression analysis controlled for race and gender, expression levels of 1553 genes were significantly (p

Context— Weight gain after kidney transplantation is a widespread phenomenon, but the question of effective strategies to intervene in patterns that lead to weight gain has not been well studied. Objective— To obtain (1) insight into recipients' perceptions of weight gain and (2) information on intervention strategies that recipients think could prevent weight gain. Design— Qualitative focus groups and a 13-question, multiple-choice survey were used. Setting— A regional mid-South transplant center. Participants— Seven kidney transplant recipients (86% African American, 57% female, mean age 55.0 years) who had gained at least 12% of their total body weight during a 12-month larger observational study. Main Outcome Measures— Content from the focus group sessions was analyzed for major and minor themes. The survey results were analyzed with descriptive statistics. Results— Identified themes included barriers to healthy eating caused by medications and removal of dietary restrictions. Barriers to physical activity included fear of injuring the new organ and health problems both related and unrelated to transplant. Perceived effects of weight gain included hypertension, diabetes, and embarrassment and concern at the rapid weight gain. Recipients would like an early start to implementation of lifestyle changes. Useful ideas included written materials regarding appropriate physical activities and dietary information, healthy cooking classes, and support groups.

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.

This chapter on research in nursing was included in ANNA's Career Fulfillment in Nephrology Nursing: Your Guide to Professional Development (2nd edition), which was published in September 2007. This chapter encourages nurses to participate in the research process by providing an overview of the nursing research process, including the steps to designing a research project, and answers to frequently asked questions. The objectives of the chapter are to: (a) define the nursing research process, including the systematic and universal knowledge concepts along with overviews of process improvement and evidence-based practice; (b) identify the steps to designing a research project, including identifying a clinical problem and formulating a research questions, conducting a review of the literature, and providing an overview of the research design; (c) provide an overview of the study methodology, including data analysis and protecting human subjects; (d) discuss available funding opportunities and the professional obligations that go with these opportunities; and (e) provide answers to frequently asked questions regarding nursing research to help demystify the process.

Context Obesity frequently occurs following kidney transplantation and is of concern because of the associated risk for cardiovascular complications. Objective To examine weight gain over the first year after kidney transplantation to determine associations with gender, ethnicity, and cardiovascular risk factors. Design A retrospective analysis was completed on patients who had received transplants between January 1998 and January 2002 and who had matching baseline and 1-year follow-up data and a functional graft. Participants The sample consisted of 171 recipients (33% women, 58% African Americans, and 39% whites) with a mean age of 44 ± 12.2 years. Main Outcome Measures Outcome measures included fasting blood sugar, triglycerides, creatinine levels, and body mass index categorized as normal, overweight, or obese. Results The total group showed a significant increase in mean weight (6.2 ± 10.7 kg) and body mass index (2.1 ±3.8). Although equivalent at baseline, by 1 year after transplantation there were significantly more obese than normal-weight recipients, regardless of gender or ethnicity, with African Americans increasing more than whites and women more than men. At baseline, those characterized as obese versus normal weight were older (47 vs 41 years; P Conclusions Weight gain after transplantation was not explained by demographic and clinical factors. We speculate additional variables such as genetic factors influence weight gain and warrant study.

Acute rejection after pancreas transplantation remains a significant problem and contributes to immunological graft loss. No clinical markers of pancreas rejection have been universally accepted. The purpose of this study was to investigate the use of genetic markers; granzyme B, perforin, and HLA-DRA in the peripheral blood of pancreas transplant recipients. These genes have been identified in renal and islet cell transplant recipients as noninvasive tools to predict acute rejection. Blood samples were collected weekly for up to 1 year posttransplant. Surveillance biopsies of the pancreas were scheduled at weeks 2, 4, 8, and 12 as part of the typical posttransplant protocol for patients with pancreas alone or pancreas after kidney transplantation. Exclusion criteria included a diagnosis of biopsy-proven chronic rejection alone, pancreatitis, or kidney rejection within 2 months after pancreas biopsy. Gene expression levels of granzyme B, perforin, and HLA-DRA were compared in patients with (n = 7) and without biopsy proven acute rejection (n = 7). Recipients with acute rejection showed increased expression of granzyme B, HLA-DRA, as well as perforin genes compared to patients without biopsy-proven rejection. In addition, we observed that elevation of these genes occurred as early as 4 weeks before the traditional biopsy diagnosis, while the recipients with no rejection showed no change in gene expression. Our data indicated that serial measurements of peripheral blood granzyme B, perforin, and HLA-DRA gene expression can be a useful tool to predict pancreas rejection in its earliest stage.

Acute rejection after pancreas transplantation remains a significant problem and contributes to immunologic graft loss. No clinical markers of pancreas rejection have been universally accepted. Recent studies have identified several cytotoxic genes as possible markers of acute rejection in renal and islet cell transplant recipients. However, these markers of rejection have not been evaluated in pancreas transplant recipients. This study evaluated the differential expression of granzyme B, perforin, and human leukocyte antigen (HLA)-DRA in peripheral blood between patients with and without biopsy-proven pancreas rejection (n = 7 per group). Gene expression levels were analyzed using real time reverse transcriptase polymerase chain reaction assays. Expression of these genes in controls (n = 17) with and without type 1 diabetes was also analyzed. Patients with biopsy-proven pancreas rejection had higher levels of granzyme B, perforin, and HLA-DRA than patients who did not have rejection, although the difference was not statistically significant. Moreover, patients with biopsy-proven pancreas rejection had a significantly higher level of granzyme B than control subjects with type 1 diabetes (p ≤ 0.03). Our findings suggest that, with additional evaluation of a larger number of patients as well as a longitudinal approach, analyses of granzyme B expression levels in peripheral blood may be shown to be a non-invasive method of monitoring pancreas allograft rejection.

Heart rate variability (HRV), a measure of autonomic function, is associated with mortality in non-end stage renal disease (ESRD). The purpose of this pilot study was to determine if HRV was predictive of mortality in patients on dialysis and to identify at-risk factors. Patients on chronic hemodialysis (n = 53) were assessed at baseline and again 24 months later. Baseline measures quantified 24-hour HRV, health, depression, and quality of life (QoL). Twenty-four-month data determined mortality. Participants were African American, 49% male, aged 47.8+/-13.3 years, with 62.4+/-60 months of dialysis. Outcomes of 24-hour HRV measures were impaired for all groups. Factors including exercise and smoking were associated with diminished HRV. The low frequency-high frequency ratio was found to be the most influential HRV determinant of death. The ability to identify patients at-risk for death and to prescribe therapy to reduce risk could have significance for the care of patients with ESRD.

Genomic clinical practice and research are playing key roles in the treatment of patients with kidney dysfunction. The focus of this brief report is to update the practitioner on key genetic terminology needed to understand and translate genetic information to nephrology patients, identify genetic mutations that can lead to kidney failure, and summarize new genetic technologies that are transitioning from research into practice.

Obese African-American (AA) subjects have higher resting and stimulated insulin concentrations than obese Caucasians (C), which could not be explained by the severity of obesity or the degree of insulin sensitivity. We investigated whether differences in glucagon-like peptide-1 (GLP-1), the most potent incretin that regulates insulin secretion, might explain racial differences in insulin response. Accordingly, we measured fasting and stimulated glucose, insulin, and GLP-1 levels during a 3-h oral glucose tolerance test (OGTT) in 26 obese C (age 38+/-2 y, body mass index 44+/-1 kg/m(2)) and 16 obese AA (age 36+/-2 y, BMI 46+/-2 kg/m(2)) subjects. Corrected insulin response (CIR(30)), a measure of beta-cell activity, whole body insulin sensitivity index (WBISI), and area under the curve (AUC) for insulin, GLP-1, and C-peptide/insulin ratio were computed from the OGTT. Glucose levels, fasting and during the OGTT, were similar between racial groups; 32% of the C and 31% of the AA subjects had impaired glucose tolerance. With a similar WBISI, AAs had significantly higher CIR(30) (2.3+/-0.4 vs 1.01+/-0.1), insulin response (IAUC: 23 974+/-4828 vs 14 478+/-1463), and lower insulin clearance (0.07+/-0.01 vs 0.11+/-0.01) than C (all, P0.01). Obese AAs also had higher fasting GLP-1 (6.7+/-2.5 vs 4.5+/-1.1) and GLP-1AUC (1174.7+/-412 vs 822.4+/-191) than C (both, P0.02). Our results indicate that obese AAs had higher concentrations of GLP-1 both at fasting and during the OGTT than obese C. The increased GLP-1 concentration could explain the greater insulin concentration and the increased prevalence of hyperinsulinemia-associated disorders including obesity and type 2 diabetes in AAs.

Sudden cardiac death occurring in patients with end-stage renal disease (ESRD) may be related to poor autonomic function (AF). It is not known whether patients having a sudden death can be identified by commonly used AF evoked tests or if a newer test evaluating heart rate variability (HRV) with power spectral analysis can better distinguish at-risk patients. This study sought to characterize AF in patients awaiting kidney transplantation, to identify factors associated with poor AF and sudden death, and to compare evoked versus 24-hour measures of cardiac AF. All patients underwent evoked cardiac AF tests, which included changes in heart rate with deep breathing (deltaBPM) and valsalva (VR). In addition, 24-hour HRV was assessed with time domain measurements of interbeat variability (pNN50, SDANN, and SDNN), which are associated with vagal function, circadian function, and sudden cardiac death (SDNN50), respectively. Frequency domain measures obtained by power spectral analysis (total, low, and high hertz) quantify total neural, sympathetic, and parasympathetic activity of the heart, respectively. Data were collected on 184 nondiabetic patients, 60 type 1 diabetic patients, and 34 type 2 diabetic patients with ESRD referred for transplantation. Five patients, all receiving peritoneal dialysis, experienced nontraumatic sudden cardiac death during the study. Evoked and 24-hour HRV control data were obtained from 67 and 48 healthy adults, respectively. Data show that regardless of subgroup, there was significant AF dysregulation in the 278 patients with ESRD, particularly for those with diabetes and those receiving peritoneal dialysis. Frequency domain measurements (three in each group: nondiabetic patients, type 1 diabetic patients, type 2 diabetic patients, deceased patients, hemodialysis patients, peritoneal dialysis, and nondialysis patients [n = 21]) were most sensitive to dysregulation, with 16 of 21 (76%) measurements more than 2 SD from the mean of the control group. This is in contrast to the time domain measurements (one of 21 [0.04%]2 SD from the mean of the control group) and evoked measurements (eight of 14 [57%] outside of the established norms). Of the five deceased patients, only one displayed normal values for all eight AF measurements reported; three (60%) had SDNNs less than 50. Of the 248 surviving patients, 42 (17%) had an SDNN less than 50. When analyzed, the ability of the SDNN to identify an at-risk group was found to have a sensitivity of 60%, a specificity of 83%, a positive predictive value of 7%, a negative predictive value of 99%, and an accuracy of 83%. While AF and time on dialysis were not found to be correlated, the length of diabetes was inversely related to all AF measures (r = -0.27 to -0.48; P0.0001), except pNN50. These data suggest that all groups of ESRD patients have severely compromised AF and, regardless of the type of diabetes, those with diabetes have the greatest degree of dysregulation. In addition, individuals receiving peritoneal dialysis were more prone to dysregulation, and the SDNN, a time domain measurement of 24-hour HRV, holds the promise of identifying patients at increased risk for early death in this population.

Background: End-stage renal disease and diabetes mellitus are known to cause autonomic dysfunctions that are responsible for poor outcomes. Studies suggest that 24-hour heart rate variability with power spectral analysis is more sensitive to early changes in autonomic function than laboratory-evoked measures. Objectives: To evaluate cardiovascular autonomic function in patients (a) awaiting kidney or pancreas-kidney transplantation, (b) without diabetes (NonDM), (c) with Type I insulin dependent diabetes mellitus (IDDM), and (d) with Type II noninsulin dependent diabetes mellitus (NIDDM), and to compare the results of the laboratory-evoked cardiovascular autonomic tests with those from 24-hour heart rate variability monitoring with power spectral analysis. Method: This cross-sectional study examined autonomic function in prekidney transplant patients with and without diabetes (N = 96), comparing laboratory-evoked measures to 24-hour measures. Results: The nondiabetic group had a normal change in heart rate with deep breathing, Valsalva ratio, and change in systolic blood pressure with tilt. Both diabetic groups had poorer values for all measures of heart rate variability; demonstrated abnormal changes in heart rate with deep breathing and borderline Valsalva ratios; demonstrated a greater decrease in circadian rhythmicity; and had lower SDNNS, pNN50s, and rMSSDs than then nondiabetic group. Conclusions: Results showed that 24-hour measures are more sensitive, that patients with end-stage renal disease and diabetes regardless of type experience significantly poorer function than do patients without diabetes, and that these values approach those associated with sudden cardiac death.

Context Approximately 20% of liver transplant recipients develop posttransplant diabetes mellitus. Hepatitis C, a leading indication for liver transplantation, has been identified as a risk factor for posttransplant diabetes mellitus and is an observation that is not well described. Objective To evaluate the incidence of posttransplant diabetes mellitus and risk factors associated with this condition. Design A retrospective chart review. Setting A large urban transplant center. Patients One hundred fifteen liver transplant recipients who received a transplant between January 1, 1998, and August 31, 2001. Results The rate of posttransplant diabetes mellitus, calculated at 3-month intervals in the first year after liver transplantation, ranged from 19.4% to 24.6%, which is similar to the averages reported in most published studies. The cumulative rate of posttransplant diabetes mellitus, which includes all patients who developed this condition during the time studied, was 31.3%. Clinical and demographic factors, including immunosuppression regimens, were similar between patients with and without posttransplant diabetes mellitus. Two risk factors for posttransplant diabetes mellitus were identified: hepatitis C, which was the leading indication for transplantation in this group (54.8%), and cytomegalovirus infection during the first year after transplantation. Other clinical and demographic variables, such as gender, age, ethnicity, rejection episodes, body mass index, and immunosuppression, were not identified as risk factors for posttransplant diabetes mellitus in liver transplant recipients.