Kath M Bogie, Katelyn Schwartz, Youjin Li, Shengxuan Wang, Wei Dai, Jiayang Sun
{"title":"Exploring adipogenic and myogenic circulatory biomarkers of recurrent pressure injury risk for persons with spinal cord injury.","authors":"Kath M Bogie, Katelyn Schwartz, Youjin Li, Shengxuan Wang, Wei Dai, Jiayang Sun","doi":"10.33393/jcb.2020.2121","DOIUrl":null,"url":null,"abstract":"ABSTRACT Purpose: To investigate linkages between circulatory adipogenic and myogenic biomarkers, gluteal intramuscular adipose tissue (IMAT), and pressure injury (PrI) history following spinal cord injury (SCI). Methods: This is an observational repeated-measures study of 30 individuals with SCI. Whole blood was collected regularly over 2-3 years. Circulatory adipogenic and myogenic gene expression was determined. IMAT was defined as above/below 15% (IMATd) or percentage (IMAT%). PrI history was defined as recurrent PrI (RPrI) or PrI number (nPrI). Model development used R packages (version 3.5.1). Univariate analysis screened for discriminating genes for downstream multivariate and combined models of averaged and longitudinal data for binary (RPrI/IMATd) and finer scales (nPrI/IMAT%). Results: For adipogenesis, Krüppel-like factor 4 was the top RPrI predictor together with resistin and cyclin D1, and sirtuin 2 was the top IMAT predictor. For myogenesis, the top RPrI predictor was dysferlin 2B, and pyruvate dehydrogenase kinase-4 was the top IMAT predictor together with dystrophin. Conclusion: Circulatory adipogenic and myogenic biomarkers have statistically significant relationships with PrI history and IMAT for persons with SCI. Biomarkers of interest may act synergistically or additively. Variable importance rankings can reveal nonlinear correlations among the predictors. Biomarkers of interest may act synergistically or additively, thus multiple genes may need to be included for prediction with finer distinction.","PeriodicalId":37524,"journal":{"name":"Journal of Circulating Biomarkers","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/7e/e0/JCB-9-1.PMC7883629.pdf","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Circulating Biomarkers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33393/jcb.2020.2121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/9/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 4
Abstract
ABSTRACT Purpose: To investigate linkages between circulatory adipogenic and myogenic biomarkers, gluteal intramuscular adipose tissue (IMAT), and pressure injury (PrI) history following spinal cord injury (SCI). Methods: This is an observational repeated-measures study of 30 individuals with SCI. Whole blood was collected regularly over 2-3 years. Circulatory adipogenic and myogenic gene expression was determined. IMAT was defined as above/below 15% (IMATd) or percentage (IMAT%). PrI history was defined as recurrent PrI (RPrI) or PrI number (nPrI). Model development used R packages (version 3.5.1). Univariate analysis screened for discriminating genes for downstream multivariate and combined models of averaged and longitudinal data for binary (RPrI/IMATd) and finer scales (nPrI/IMAT%). Results: For adipogenesis, Krüppel-like factor 4 was the top RPrI predictor together with resistin and cyclin D1, and sirtuin 2 was the top IMAT predictor. For myogenesis, the top RPrI predictor was dysferlin 2B, and pyruvate dehydrogenase kinase-4 was the top IMAT predictor together with dystrophin. Conclusion: Circulatory adipogenic and myogenic biomarkers have statistically significant relationships with PrI history and IMAT for persons with SCI. Biomarkers of interest may act synergistically or additively. Variable importance rankings can reveal nonlinear correlations among the predictors. Biomarkers of interest may act synergistically or additively, thus multiple genes may need to be included for prediction with finer distinction.
期刊介绍:
Journal of Circulating Biomarkers is an international, peer-reviewed, open access scientific journal focusing on all aspects of the rapidly growing field of circulating blood-based biomarkers and diagnostics using circulating protein and lipid markers, circulating tumor cells (CTC), circulating cell-free DNA (cfDNA) and extracellular vesicles, including exosomes, microvesicles, microparticles, ectosomes and apoptotic bodies. The journal publishes high-impact articles that deal with all fields related to circulating biomarkers and diagnostics, ranging from basic science to translational and clinical applications. Papers from a wide variety of disciplines are welcome; interdisciplinary studies are especially suitable for this journal. Included within the scope are a broad array of specialties including (but not limited to) cancer, immunology, neurology, metabolic diseases, cardiovascular medicine, regenerative medicine, nosology, physiology, pathology, technological applications in diagnostics, therapeutics, vaccine, drug delivery, regenerative medicine, drug development and clinical trials. The journal also hosts reviews, perspectives and news on specific topics.