Biological research for nursing最新文献

Background: Obese patients are increasingly recognized as being at higher risk for skin diseases, particularly chronic wounds. While the exact mechanisms remain unclear, obesity is suspected to influence the development of chronic injuries via inflammatory biomarkers. Single nucleotide polymorphisms (SNPs) may further influence gene expression, protein function, and levels of inflammatory biomarkers through various mechanisms, thereby modulating inflammatory responses that contribute to wound pathogenesis. Methods: A two-sample two-step Mendelian Randomization (MR) was employed to explore the causal relationship between obesity and chronic wounds, focusing on the mediating role of inflammatory biomarkers. SNPs were used as instrumental variables (IVs) to infer causality. Obesity-related genetic data were sourced from the UK Biobank and GIANT consortium. Genome-wide association studies provided data on 92 inflammatory biomarkers, involving 14,824 and 575,531 individuals. Pressure injuries, lower limb venous ulcers, and diabetic foot ulcer data were obtained from FinnGen R10 and the Pan-UK Biobank. Results: Obesity significantly increased the risk of pressure injuries, lower limb venous ulcers, and diabetic foot ulcers. CCL19, hGDNF, IL-12B, and TNFRSF9 were identified as mediators in obesity-induced lower limb venous ulcers. Conclusion: This study provides genetic evidence that obesity leads to lower limb venous ulcers via inflammatory biomarkers, suggesting potential therapeutic targets for intervention.

Background: The timely initiation of lactogenesis II is crucial for postpartum women, with delays having significant clinical implications. This study aimed to evaluate the determinants of delayed lactogenesis II (DOL II) in high-risk pregnant women to guide clinical interventions and postnatal care protocols. Methods: We conducted a study involving high-risk pregnant women who gave birth and were admitted to our hospital''s obstetric intensive care unit for postpartum surveillance and treatment from February 1, 2023, to April 30, 2024. We utilized Pearson correlation analysis and logistic regression to determine factors linked to DOL II. Results: Our study included 206 high-risk pregnant women, with 85 (41.26%) experiencing DOL II. Pearson correlation analysis indicated strong associations between DOL II and maternal age (r = 0.452), gestational hypertension (r = 0.514), gestational diabetes (r = 0.487), and delayed colostrum secretion (r = 0.506), all statistically significant (p < 0.05). Logistic regression analysis identified age 35 years or older (OR = 2.115, 95%CI: 1.785-2.466), gestational hypertension (OR = 2.404, 95%CI: 2.125-3.107), gestational diabetes (OR = 2.556, 95%CI: 2.008-2.879), and colostrum secretion later than one hour postpartum (OR = 3.126, 95%CI: 2.682-3.605) as independent risk factors for DOL II, all with p < 0.05. Conclusions: The incidence of DOL II is significantly elevated in high-risk pregnant women, especially those aged 35 or older, those with gestational diabetes and hypertension, and those who delay the initiation of breastfeeding. It is imperative that clinical practices prioritize enhanced prenatal care and health education, robust lactation support, and improved lactation awareness among postpartum women to reduce the prevalence of DOL II.

Background: This study aims to investigate the association between serum calcium levels and acute coronary syndrome (ACS) risk, examining whether this relationship differs by sex, given the known differences in calcium metabolism and hormonal influences between males and females. Methods: Utilizing the Korean Genome Epidemiology Study (KoGES) prospective cohort data, our primary exposure variables were serum calcium level and sex. The incidence of ACS served as the main outcome of interest. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox regression analysis. An interaction analysis was conducted to assess the interaction effect of calcium level and sex on ACS incidence. Results: After adjusting for confounding variables, high calcium intake did not significantly increase ACS incidence, with a hazard ratio (HR) of 1.07 (95% CI: 0.90-1.26). There was also no significant difference in ACS risk between females and males (HR: 0.81, 95% CI: 0.61-1.04). However, interaction effect analysis revealed that higher calcium levels were associated with an increased risk of ACS only in females (HR: 1.24, 95% CI: 1.07-1.58), whereas the association in males was not statistically significant (HR: 0.90, 95% CI: 0.71-1.15). Conclusion: Our study results indicate that elevated serum calcium levels alone did not independently increase the risk of ACS; however, high serum calcium levels were associated with an increased risk of ACS in females but not in males, underscoring the importance of sex-specific factors in assessing and managing ACS risk and highlighting the necessity for personalized medical approaches to improve cardiovascular health outcomes for women.

Background: Being overweight is a major global health epidemic of the 20th and 21st centuries, which can affect the movement system function of older adult women. This study evaluated the effects of a breathing exercise based on motor development patterns on functional fitness and quality of life in overweight older adult women. Methods: A randomized controlled trial was conducted with 40 community-dwelling women aged 65-75. Participants were randomly assigned to an intervention group, which completed a 6-week breathing exercise program (three supervised and three home-based sessions per week), or a control group, which maintained usual routines. Outcome measures included cardiovascular fitness, upper and lower body flexibility, muscle strength, dynamic balance, and quality of life, assessed at baseline and post-intervention. Results: The intervention group showed significant improvements in cardiovascular fitness (p < .001, ES = 0.652), upper body flexibility (p < .001, ES = 0.652), lower body flexibility (p < .001, ES = 0.538), upper body strength (p < .001, ES = 0.538), lower body strength (p < .001, ES = 0.538), and dynamic balance (p < .001, ES = 0.475) compared to the control group. Quality of life also significantly improved in the intervention group (p < .001, ES = 0.475). Conclusion: Breathing exercises based on motor development patterns significantly enhance functional fitness and quality of life in overweight older adult women. Incorporating these exercises into regular physical activity routines may promote health and independence in older adults. Further research should explore long-term benefits and optimal exercise parameters for older adults.

Background: People with HIV (PWH) are at risk of developing HIV-associated neurocognitive disorder (HAND) despite receiving combination antiretroviral therapy. Brain-derived neurotrophic factor (BDNF) has been implicated in cognitive function and neuroplasticity, but its role in HIV-related neuroinflammation remains understudied. Methods: This study analyzed data from the CHAMPS study, assessing BDNF serum levels and cognitive function in 140 adults with HIV at baseline. Cognitive function was evaluated using the PROMIS Applied Cognition-Abilities 8-item questionnaire. BDNF levels (pg/ml) were measured using high sensitivity Enzyme-Linked Immunoassay (ELISA) kits. Linear regression analyses were conducted to explore the associations between BDNF levels, cognitive function, and AIDS diagnosis, adjusting for demographic variables. Results: A significant positive association was found between BDNF levels and cognitive function scores in PWH (p = .03). Additionally, PWH with a history of AIDS diagnosis showed significantly lower BDNF levels (p = .02). Other demographic factors did not significantly impact cognitive function or BDNF levels in this cohort. Conclusions: Our results highlight the potential of BDNF as a biomarker for cognitive decline in PWH and suggest its relevance in understanding HAND pathophysiology. Further research is warranted to explore the multifaceted interactions influencing cognitive outcomes in this population and to develop targeted interventions for improving cognitive health in PWH.

Background: The long-term success rate of kidney transplantation is disappointing, with repeat transplantation necessary for more than half of recipients. When a repeat kidney transplantation is needed, patients are often elderly and suffer from underlying advanced kidney disease, comorbidities, and adverse effects of immunosuppressants, leading to physical function limitations. Limited physical function is known to hinder access to an initial kidney transplantation, but there is no information about its impact on repeat transplantations. Objective: This study aimed to determine the effect of physical function on access to wait-listing for repeat transplantation. Methods: Data from the national registry was utilized to analyze 28,884 kidney transplant recipients. Physical function was assessed with Karnofsky scores, and patients were categorized into three strata: total assistance, some assistance, and no assistance. Logistic regression and multivariate Cox proportional hazard models were used to assess the impact of physical function on waiting list access and duration until wait-listing, respectively. Results: Patients with greater physical independence were more likely to be wait-listed for repeat kidney transplantation. Highly sensitized patients, those with diabetes, Black patients, and elderly individuals had a lower likelihood of access to wait-listing after kidney failure. Interestingly, those with limited physical function, provided they remained in the work-up process, experienced a relatively shorter duration to wait-listing after graft failure.Conclusions: These findings highlight the need to promote and support physical function throughout the kidney transplant journey to improve access to repeat transplantation and subsequent patient outcomes.

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.