Biological research for nursing最新文献

Preterm birth (PTB; <37 weeks completed gestation) is a devastating problem affecting over 13 million live births worldwide. In the U.S., African Americans experience significantly higher rates of PTB compared to non-Hispanic Whites. PTB disparities have been linked to social determinants of health (e.g., socioeconomic status, discrimination). However, the biological underpinnings related to these associations are unclear. DNA methylation (DNAm) is subject to environmental influences, and DNAm modifications are known to affect gene expression. Using a multi-omic approach, we examined differences in combined DNA methylation (DNAm) and messenger RNA (mRNA) transcriptomic data from 20 pregnant African American women (12 PTB; 8 term birth) early in pregnancy (8-18 weeks gestation). We found that the HLA-DQB2 gene was both differentially methylated (cg12296550; p = .02) and differentially expressed (p = .014; log2FC = 2.5) between women with PTB and term birth. Gene expression analysis showed HLA-DQB2 and HLA-DRB4 (p = .028; log2FC = -3.6) were the two most highly expressed genes. HLA-DQB2 expressed higher in PTB and HLA-DRB4 expressed higher in term birth. However, no genes remained significant (p < .05) after Bonferroni correction. HLA-DRB4 and AKR1C1 were identified as a potential biomarkers in dimensionality reduction models and are also important to immune function and allogenic breakdown. Altered gene expression may lead to inflammatory imbalances or allogenic intolerance resulting in PTB. This study provides proof-of-concept evidence for the feasibility and importance of future multi-omics studies with larger populations to further explore the genes and pathways identified here.

Background: Little is known about how changes in physical activity (PA) over time may influence symptoms in people with heart failure (HF).

Methods: A secondary analysis was conducted with data from an RCT of an exercise intervention in patients with ICDs (implantable cardioverter defibrillator) and a HF diagnosis (n = 96). Data were collected at baseline and 2 months of PA intervention. Physical activity (PA Steps = mean steps/day; PA Intensity = mean steps/min for most intense 30 minutes/day) were measured over 5 days at each timepoint. Physical symptoms were measured using the Patient Concerns Assessment, the SF-36 Vitality, and Bodily Pain subscales for fatigue and pain. Psychological symptoms were assessed using the Patient Health Questionnaire-9, and the State-Trait Anxiety Index. Associations between PA and physical and psychological symptoms were analyzed with multivariate regression.

Results: Patients (n = 96) were predominately male (83%) and Caucasian (79%), aged 55.8 ± 12.3 years, BMI of 29.7 ± 5.1, with heart failure with reduced ejection fraction (HFrEF; 30.9 ± 9.9%). An increase in PA Steps was associated with improvement in anxiety (β = -1.178, p = .048). An increase in PA Intensity was associated with significant reductions in depression (β = -0.127, p = .021), anxiety (β = -0.234, p = .037), and fatigue (β = 0.528, p = .022). Decreases in PA Steps and PA Intensity were not associated with changes in any symptoms.

Conclusion: For HF patients with an ICD, more intense PA over 2 months was associated with improved psychological symptoms and reduced fatigue. Decreases in PA (total and intensity) were not associated with changes in symptoms. Interventions promoting increasing the intensity of PA over time may be an effective approach to reduce some HF symptoms.

Background: Genetics may influence symptoms experienced by breast cancer survivors (BCS) by moderating the effects of stress-reducing interventions, including the Mindfulness-Based Stress Reduction (MBSR(BC)) program, to reduce symptom severity. As part of a larger clinical trial, the aim of this study was to evaluate genetic variants as moderators of MBSR(BC) on improvements among BCS in cognitive functioning and symptoms.

Methods: BCS (n = 128) were randomized to MBSR(BC) or the Breast Cancer Education Support Program. Objective neuropsychological and subjective measures of cognitive performance, and psychological and physical symptoms were collected at baseline, 6, 12, and 26 weeks. Linear mixed models were implemented to identify MBSR(BC)'s effects over time. A total of 22 single nucleotide polymorphisms (SNPs) from 20 genes known to be related to these symptoms were investigated using genomic DNA. These SNPs were tested as moderators of MBSR(BC) program effects.

Results: Results showed MBSR(BC) participants experienced significantly greater benefits in cognitive functioning, however, the level of benefit varied based on one's genetic profile. Effects sizes, consistency across similar measures were investigated. Among 22 candidate SNPs, rs4680 in COMT, rs1800497 in ANKK1, and rs6277 in DRD2 demonstrated the strongest, most consistent positive effects in moderating MBSR(BC)'s impact on cognitive outcomes.

Conclusions: Although the effects were small, this translational research may potentially identify BCS with genotypes that would be most influenced by the MBSR(BC) program. These results may be used to develop personalized intervention programs tailored to the genetic profile of each breast cancer survivor who received chemotherapy or chemotherapy and radiation.

Trial registration: ClinicalTrials.gov, https://www.ClinicalTrials.gov Registration Number: NCT02786797.

In the era of precision health, nursing research has increasingly focused on the analysis of large, multidimensional data sets containing multiple correlated phenotypes (e.g., symptoms). This presents challenges for statistical analyses, especially in genetic association studies. For example, the inclusion of multiple symptoms within a single model can raise concerns about multicollinearity, while individual SNP-symptom analyses may obscure complex relationships. As such, many traditional statistical approaches often fall short in providing a comprehensive understanding of the complexity inherent in many nursing-focused research questions. Multivariate Bayesian approaches offer the unique advantage of allowing researchers to ask questions that are not feasible with traditional approaches. Specifically, these methods support the simultaneous exploration of multiple phenotypes, accounting for the underlying correlational structure between variables, and allow for formal incorporation of existing knowledge into the statistical model. By doing so, they may provide a more realistic view of statistical relationships within a biological system, potentially uncovering new insights into well-established and undiscovered connections, such as the probabilities of association and direct versus indirect effects. This valuable information can help us better understand our phenotypes of interest, leading to more effective nurse-led intervention and prevention programs. To illustrate these concepts, this paper includes an application section covering two specific multivariate Bayesian analysis software programs, bnlearn and mvBIMBAM, with an emphasis on interpretation and extension to nursing research. To complement the paper, we provide access to a detailed online tutorial, including executable R code and a synthetic data set, so the concepts can be more easily extended to other research questions.

Purpose: Chronic venous leg ulcers (CVLUs) comprise the majority of lower-extremity wounds, yet their pathophysiology is not fully understood. While research has shown that microRNAs are an important component of wound inflammation, few have explored the role of microRNAs (miRNAs) in the healing of CVLUs. This scoping review examines miRNAs in CVLUs and the association with wound healing. Methods: In December 2023, we searched MEDLINE/PubMed, Embase, Scopus, and CINAHL for studies published in 2013-2023 examining miRNAs in CVLU healing. Results: Six studies met inclusion criteria. MicroRNAs were extracted from various specimens including serum, skin biopsy samples, and adipose tissue-derived mesenchymal cells from individuals with CVLUs. Overexpression of miR-221, miR-222, miR-92a, and miR-301a-3p hindered angiogenesis, while overexpression of miR-296, miR-126, miR-378, and miR-210 facilitated angiogenesis. Overexpression of miR-34a/c, miR-301a-3p, miR-450-5p, miR-424-5p, miR-516-5p, and miR-7704 increased local inflammatory responses and inhibited keratinocytes proliferation, impairing healing, while overexpression of miR-19a/b and miR-20 downregulated keratinocytes' inflammatory response, promoting healing. Downregulation of miR-205, miR-96-5p, and miR-218-5p enhanced cellular proliferation and promoted wound healing. Downregulation of miR-17-92 was linked with impaired healing. Discussion: MicroRNAs play a role in regulating angiogenesis, inflammatory responses, and cell migration in chronic-wound healing. However, studies of miRNAs in CVLUs are limited and lack a standardized approach to measurement and quantification. Further research is warranted to elucidate the mechanisms underlying microRNA involvement in CVLU healing to better understand the pathophysiology and for the future development of targeted therapies.

Objectives. Dysphagia is a geriatric syndrome, which may lead to complications such as dehydration, malnutrition, aspiration, pneumonia, and a significant reduction in quality of life. The purpose of this study was to construct and validate a prediction model for dysphagia in community-dwelling older adults and provide an assessment tool for the prevention and control of dysphagia. Design. Cross-sectional study. Setting. The community-dwelling Chinese older adults. Participants. 3655 participants aged 65 years and older were involved, who were randomly divided into the training set and the validation set. Methods. Data were collected and analyzed from June 2022 to September 2022. Univariate and multivariate logistic regression analysis were used to identify independent risk factors for dysphagia. We applied R software to develop a nomogram model to predict dysphagia in community-dwelling older adults. The predictive value of the model was assessed by the area under the ROC curve (AUC), the calibration curve was used to evaluate the reliability of the nomogram model for predicting dysphagia in community-dwelling older adults. The model's clinical utility was further evaluated using a Decision Curve Analysis (DCA). Results. The incidence of dysphagia was 11.8% (320/3655). Maximum tongue pressure, number of molars, pneumonia, ADL, sarcopenia, age, neurological diseases, and rheumatic immune diseases were selected as risk predictors for dysphagia. The prediction model demonstrated fair discriminative ability with the AUC was 0.709 (95%CI: 0.679-0.739) in the training set and 0.693 (95%Cl: 0.640-0.747) in the validation set, the calibration is adequate, and the Hosmer and Lemeshow test showed p values of 0.163 and 0.415, respectively. The DCA curve of our model shows a positive clinical net benefit. Conclusions. The prediction model established in this study was of a certain predictive value for the risk of dysphagia in community-dwelling older adults. By estimating the likelihood of future outcomes or the onset of certain diseases, it can assist medical personnel in formulating preventive strategies, lessening the workload of nurses, and also diminishing the financial burden on patients, thereby enhancing their overall quality of life.

Patients with schizophrenia often lack physical activity, which, together with physical complications, can lower their expected lifespan. Exercise strengthens their physical and mental health. The primary aim of this study was to examine the effectiveness of a walking exercise intervention in improving physical fitness, body mass index, waist-to-hip ratio, and depressive symptoms in patients with schizophrenia. A quasi-experimental study design was used. Seventy-six participants were recruited from the psychiatric daycare center at a hospital in Northern Taiwan. They were divided into two groups. The intervention group received a walking exercise intervention, while the control completed their daily courses at the psychiatric daycare center. The changes in both groups' physical fitness, BMI, waist-to-hip ratio, and depressive symptoms were monitored. Cardiorespiratory endurance significantly improved in the intervention group, attesting to the effectiveness of the walking exercise intervention. Their depression level significantly decreased across all measurement stages. The group walking exercise reduced sedentary behaviors and increased the participants' autonomous motivation, hip circumference, and cardiorespiratory fitness. Structured exercise programs may increase the patients' hippocampal neuroplasticity and reduce their depressive symptoms. The walking exercise intervention positively affected physiological traits, physical fitness, and mental health of the participants.

Objective: The aim of this study was to investigate the effects of an 8-week yoga intervention on muscle strength, proprioception, pain, concerns about falling, and quality of life in individuals diagnosed with diabetic neuropathy.

Methods: A quasi-experimental design incorporating a pretest-posttest methodology and a control group was implemented in the present study. A total of 30 patients who were diagnosed with type 2 diabetes and neuropathy were recruited and randomly assigned to intervention (n = 15) or non-exercise control (n = 15). Yoga sessions were conducted for a duration of 60 min on three occasions per week, with participants requested to practice at home on other days.

Results: The results showed significant main effects of time on the muscle strength (both flexor and extensor muscles, p < .001, ηp² = 0.652 and p < .001, ηp² = 0.539, respectively), proprioception error (p < .001, ηp² = 0.807), pain intensity (p < .001, ηp² = 0.538), concerns about falling (p < .001, ηp² = 0.700), and overall score of quality of life (p < .001, ηp² = 0.475). Moreover, there were significant group-by-time interactions for all variables (p < .001 for all).

Conclusion: The study reveals that yoga intervention can be an effective alternative therapeutic approach to medication for individuals with diabetic neuropathy. Yet, future studies are needed on a larger sample size to strengthen the present understanding of the advantageous impact of yoga intervention in this population.

Background: Many studies have reported the use of preoperative oral carbohydrates (CHO) in children, but the results are inconsistent. The aim of this meta-analysis is to assess the effectiveness and safety of oral CHO administration in children prior to surgery, with the goal of offering a dependable reference for clinical nursing practices and surgical interventions. Methods: Two authors searched PubMed, Clinical trials, Web of Science, Embase, Cochrane Library, China national knowledge infrastructure (CNKI), Wanfang and Weipu databases for randomized controlled trial (RCT) on the effects of preoperative oral CHO in children up to April 12, 2024. We used RevMan 5.4 software for data analysis. Results: Nine RCTs involving a total of 1279 children were included. The meta-analysis showed that there was statistical difference in the pH of gastric juice (MD = 1.54, 95%CI: 1.40-1.67, p < .001), intraoperative sedation score (MD = 0.62, 95%CI: 0.27-0.97, p < .001), and the incidence of postoperative nausea and vomiting (OR = 0.40, 95%CI: 0.20-0.80, p = .009) between the CHO and control groups. There was no statistical difference in the RGV (MD = -0.23, 95%CI: -0.47-0.01, p = .06) and the postoperative blood glucose level (MD = -0.91, 95%CI: -5.03-3.21, p = .67) between the CHO and control groups. Egger regression analysis showed that there were no publication biases amongst the synthesized outcomes (all p > .05). Conclusion: The administration of oral CHO to children before surgery is safe and practicable. There is a need for additional, well-conducted studies with more participants to further elucidate the role of preoperative CHO administration.

Objectives: To evaluate the comparability of frailty assessment tools - the electronic frailty index (eFI), retrospective electronic frailty index (reFI), and clinical frailty scale (CFS) - in older residents of care facilities. Methods: Data from 813 individuals aged 65 or older, with frailty and co-morbidities, collected between 2022 and 2023, were analysed using various statistical methods. Results: The results showed significant differences in frailty classification among the tools: 78.3% were identified as moderately to severely frail by eFI, 59.6% by reFI, and 92.1% by CFS. Statistical tests confirmed significant differences (p < .05) in their assessments, indicating variability in measurement methods. Discussion: This study advances the understanding of frailty assessment within aged-care settings, highlighting the differences in the efficacy of these assessment tools. It underscores the challenges in frailty assessments and emphasizes the need for continuous refinement of assessment methods to address the diverse facets of frailty in aged care.