Biological research for nursing最新文献

{"title":"DNA Methylation Patterns of Glucocorticoid Pathway Genes in Preterm Birth Among Black Women.","authors":"Alexandra L Nowak, Cindy M Anderson, Jodi L Ford, Amy Mackos, Joyce Ohm, Nadia Saadat, Alai Tan, Yihong Zhao, Dawn P Misra, Carmen Giurgescu","doi":"10.1177/10998004221099253","DOIUrl":"10.1177/10998004221099253","url":null,"abstract":"<p><p>Preterm birth (PTB; <37 weeks gestation) rates have increased for 5 of the last 6 consecutive years in the United States. These rates are particularly alarming for U.S. non-Hispanic Black women who give birth prematurely at 1.5 times the rate of non-Hispanic White women. Previous research suggests that psychological stress is associated with PTB in Black women. However, the biological pathways by which stress alters birth timing are not clear. We examined DNA methylation (DNAm) in peripheral blood leukocytes in 6 glucocorticoid, stress-related genes in 44 (22 PTB; 22 term birth) pregnant Black women. Four cytosine-phosphate-guanine (CpG) sites were identified as differentially methylated (<i>p</i> < 0.05) between women with PTB and women with term births. The ability to identify stress-related biological markers that are associated with PTB among Black women would provide a critical step toward decreasing the PTB disparity among these women. Future studies should include larger sample sizes and gene expression analyses of the stress-related biological pathways to PTB.</p>","PeriodicalId":93901,"journal":{"name":"Biological research for nursing","volume":"24 4","pages":"493-502"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630727/pdf/10.1177_10998004221099253.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41170073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inflammatory, Oxidative Stress, and Cardiac Damage Biomarkers and Radiation-Induced Fatigue in Breast Cancer Survivors.","authors":"Alexi Vasbinder,&nbsp;Hilaire Thompson,&nbsp;Oleg Zaslavksy,&nbsp;Susan R Heckbert,&nbsp;Nazmus Saquib,&nbsp;Aladdin H Shadyab,&nbsp;Rowan T Chlebowski,&nbsp;Lisa Warsinger Martin,&nbsp;Electra D Paskett,&nbsp;Kerryn W Reding","doi":"10.1177/10998004221098113","DOIUrl":"https://doi.org/10.1177/10998004221098113","url":null,"abstract":"<p><strong>Purpose: </strong>Studies examining biomarkers associated with fatigue in breast cancer survivors treated with radiation are limited. Therefore, we examined the longitudinal association between serum biomarkers and post-breast cancer fatigue in survivors treated with radiation: [oxidative stress] 8-hydroxyguanosine, myeloperoxidase; [inflammation] interleukin-6 (IL-6), c-reactive protein, growth differentiation factor-15 (GDF-15), placental growth factor, transforming growth factor-beta, [cardiac damage] cystatin-C, troponin-I.</p><p><strong>Methods: </strong>In a secondary analysis, we included participants from the Women's Health Initiative if they had: a previous breast cancer diagnosis (stages I-III), no prior cardiovascular diseases, pre-and post-breast cancer serum samples drawn approximately 3 years apart, and fatigue measured using the Short-Form 36 vitality subscale at both serum collections. Biomarkers were measured using ELISA or RT-qPCR and modeled as the log₂ post-to pre-breast cancer ratio.</p><p><strong>Results: </strong>Overall, 180 women with a mean (SD) age of 67.0 (5.5) years were included. The mean (SD) vitality scores were 66.2 (17.2) and 59.7 (19.7) pre- and post-breast cancer, respectively. Using multivariable weighted linear regression, higher biomarker ratios of cystatin-C, IL-6, and GDF-15 were associated with a lower vitality score (i.e., higher fatigue). For example, for each 2-fold difference in cystatin-C biomarker ratio, the vitality score was lower by 7.31 points (95% CI: -14.2, -0.45).</p><p><strong>Conclusion: </strong>Inflammatory and cardiac damage biomarkers are associated with fatigue in breast cancer survivors treated with radiation; however, these findings should be replicated in a larger sample. Biomarkers could be measured in clinical practice or assessed in risk prediction models to help identify patients at high risk for fatigue.</p>","PeriodicalId":93901,"journal":{"name":"Biological research for nursing","volume":"24 4","pages":"472-483"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630726/pdf/10.1177_10998004221098113.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41172844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Translational Genomic Research: The Association between Genetic Profiles and Cognitive Functioning or Cardiac Function Among Breast Cancer Survivors Completing Chemotherapy.","authors":"Jong Y Park,&nbsp;Cecile A Lengacher,&nbsp;Richard R Reich,&nbsp;Hyun Y Park,&nbsp;Junmin Whiting,&nbsp;Anh Thy Nguyen,&nbsp;Carmen Rodríguez,&nbsp;Hongdao Meng,&nbsp;Sara Tinsley,&nbsp;Katterine Chauca,&nbsp;Liliana Gordillo-Casero,&nbsp;Trudy Wittenberg,&nbsp;Anisha Joshi,&nbsp;Katherine Lin,&nbsp;Roohi Ismail-Khan,&nbsp;John V Kiluk,&nbsp;Kevin E Kip","doi":"10.1177/10998004221094386","DOIUrl":"https://doi.org/10.1177/10998004221094386","url":null,"abstract":"<p><p><b>Introduction:</b> Emerging evidence suggests that Chemotherapy (CT) treated breast cancer survivors (BCS) who have \"risk variants\" in genes may be more susceptible to cognitive impairment (CI) and/or poor cardiac phenotypes. The objective of this preliminary study was to examine whether there is a relationship between genetic variants and objective/subjective cognitive or cardiac phenotypes. <b>Methods and Analysis:</b> BCS were recruited from Moffitt Cancer Center, Morsani College of Medicine, AdventHealth Tampa and Sarasota Memorial Hospital. Genomic DNA were collected at baseline for genotyping analysis. A total of 16 single nucleotide polymorphisms (SNPs) from 14 genes involved in cognitive or cardiac function were evaluated. Three genetic models (additive, dominant, and recessive) were used to test correlation coefficients between genetic variants and objective/subjective measures of cognitive functioning and cardiac outcomes (heart rate, diastolic blood pressure, systolic blood pressure, respiration rate, and oxygen saturation). <b>Results:</b> BCS (207 participants) with a mean age of 56 enrolled in this study. The majority were non-Hispanic white (73.7%), married (63.1%), and received both CT and radiation treatment (77.3%). Three SNPs in genes related to cognitive functioning (rs429358 in <i>APOE</i>, rs1800497 in <i>ANKK1</i>, rs10119 in <i>TOMM40</i>) emerged with the most consistent significant relationship with cognitive outcomes. Among five candidate SNPs related to cardiac functioning, rs8055236 in <i>CDH13</i> and rs1801133 in <i>MTHER</i> emerged with potential significant relationships with cardiac phenotype. <b>Conclusions:</b> These preliminary results provide initial targets to further examine whether BCS with specific genetic profiles may preferentially benefit from interventions designed to improve cognitive and cardiac functioning following CT.</p>","PeriodicalId":93901,"journal":{"name":"Biological research for nursing","volume":"24 4","pages":"433-447"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630728/pdf/10.1177_10998004221094386.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41142619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Primer in Genetics and Genomics, Article 2-Advancing Nursing Research With Genomic Approaches.","authors":"Hyunhwa Lee,&nbsp;Jessica Gill,&nbsp;Taura Barr,&nbsp;Sijung Yun,&nbsp;Hyungsuk Kim","doi":"10.1177/1099800416689822","DOIUrl":"https://doi.org/10.1177/1099800416689822","url":null,"abstract":"<p><strong>Purpose: </strong>Nurses investigate reasons for variable patient symptoms and responses to treatments to inform how best to improve outcomes. Genomics has the potential to guide nursing research exploring contributions to individual variability. This article is meant to serve as an introduction to the novel methods available through genomics for addressing this critical issue and includes a review of methodological considerations for selected genomic approaches.</p><p><strong>Approach: </strong>This review presents essential concepts in genetics and genomics that will allow readers to identify upcoming trends in genomics nursing research and improve research practice. It introduces general principles of genomic research and provides an overview of the research process. It also highlights selected nursing studies that serve as clinical examples of the use of genomic technologies. Finally, the authors provide suggestions about how to apply genomic technology in nursing research along with directions for future research.</p><p><strong>Conclusions: </strong>Using genomic approaches in nursing research can advance the understanding of the complex pathophysiology of disease susceptibility and different patient responses to interventions. Nurses should be incorporating genomics into education, clinical practice, and research as the influence of genomics in health-care research and practice continues to grow. Nurses are also well placed to translate genomic discoveries into improved methods for patient assessment and intervention.</p>","PeriodicalId":93901,"journal":{"name":"Biological research for nursing","volume":"19 2","pages":"229-239"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1099800416689822","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41149551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}