Establishing the Omics Nursing Science & Education Network.

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.

Development of a COVID-19 alternate care site from ground zero: A nursing perspective.

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 impact of plasma brain-derived neurotrophic factor concentration and weight gain after kidney transplantation.

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.

Advocacy and actions to address disparities in access to genomic health care: A report on a National Academies workshop.

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.

Characterization of Body Composition and Fat Mass Distribution 1 Year After Kidney Transplantation.

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.

Sports-Related Concussion Results in Differential Expression of Nuclear Factor-κB Pathway Genes in Peripheral Blood During the Acute and Subacute Periods.

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.

A Prospective Study of Depression and Weight Change After Kidney Transplant.

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, R (2) = .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.

National Institutes of Health Symptom Science Model sheds light on patient symptoms.

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.

Advanced nursing practice and research contributions to precision medicine.

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.

The National Institutes of Health/National Institutes of Nursing Research intramural research program and the development of the National Institutes of Health Symptom Science Model.

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.

Food availability as a determinant of weight gain among renal transplant recipients.

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 < .001) corresponding to an average weight gain of 9.25 lbs (5.43%) during the first year post-transplant. The number of grocery stores within 1 mile of recipient's residence was associated with an increase in BMI (p < .05), but fast food restaurants and convenience stores were not significantly associated with BMI change.

Extracellular Vesicle MicroRNAs as Predictive Biomarkers in Postoperative Delirium After Spine Surgery: Preliminary Study.

Postoperative delirium (POD) can cause poor patient outcomes in older adults who undergo surgery. In this study, we tested plasma extracellular vesicle (EV) miRNAs obtained before the delirium event to find predictive POD biomarkers after spine surgery. We recruited patients who are more than 70 years old and have undergone spine surgery. Finally, POD patients (n = 31) were included, with no-POD patients matched in age, sex, medical history, and type of surgery (n = 31). Peripheral blood was collected from patients in the operating room after the operation was completed. EVs were isolated from plasma, and the 798 miRNA expression level from EVs was measured using a NanoString platform. Sixty-two patients were included in the study; all were Korean, 67.7% were females, and the median age was 75 years. Preoperative medical history was not statistically different between no-POD and POD patients except for hypertension and the American Society of Anesthesiologists physical status. From the miRNA profiling, we identified 142 significantly differentially expressed miRNAs in POD patients compared with no-POD patients, which are associated with psychological/neurological disorders. The top 10 differentially expressed miRNAs including miR-548ar-5p and miR-627-5p were all upregulated in POD patients and the results were validated using qRT-PCR from the independent sets of samples (n = 96). We demonstrated the potential of plasma EV-miRNAs as predictive biomarkers to identify the risk group of POD after spine surgery. It also provides opportunities for future studies investigating the role of EV-miRNAs in delirium pathology.

An overview of the genomics of metabolic syndrome.

PURPOSE: This article provides a brief overview of the diagnostic criteria and genomic risk factors for the components of metabolic syndrome (MetS). ORGANIZING CONSTRUCTS: Contributions of cardiovascular, obesity, and diabetes genomic risk factors to the development of MetS as reported in the literature have been reviewed. FINDINGS: The genomic risk factors for the development of MetS are strongly linked to the genomic risk factors that make up the components of the disease. Many of the cardiovascular and renal genomic risk factors for MetS development are similar to those found in the development of hypertension and dyslipidemia. Obesity may act as a master trigger to turn on the gene expression changes necessary for the other components of the disease. Studies in the genomics of type 2 diabetes show a number of overlapping genes and polymorphisms that influence both the development of diabetes and MetS. CONCLUSIONS: Although health practitioners now have some insights into the genomics of risk factors associated with MetS, the overall understanding of MetS remains inadequate. Clinical applications based on some of the discussed genomic risk factors are being developed but are not yet available for the diagnosis and treatment of MetS. CLINICAL RELEVANCE: A broad knowledge of the genomic contributions to disease processes will enable the clinician to better utilize genomics to assess and tailor management of patients.

A blueprint for genomic nursing science.

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 scientific priority if findings are to be synthesized and aggregated to inform practice and policy. CONCLUSIONS: The genomic nursing science blueprint provides the framework for furthering genomic nursing science to improve health outcomes. This blueprint is an independent recommendation of the Advisory Panel with input from the public and is not a policy statement of the National Institutes of Health or the federal government. CLINICAL RELEVANCE: This genomic nursing science blueprint targets research to build the evidence base to inform integration of genomics into nursing practice and regulation (such as nursing licensure requirements, institutional accreditation, and academic nursing school accreditation).

Lessons learned: experiences of gaining weight by kidney transplant recipients.

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.