Health care professionals use diagnostic labels to classify individuals for both treatment and research purposes. Despite their clear benefits, diagnostic labels also serve as cues that activate stigma and stereotypes. Stigma associated with the diagnostic labels of dementia and mild cognitive impairment (MCI) can have a significant and negative impact on interpersonal relationships, interactions with the health care community, attitudes about service utilization, and participation in clinical research. The impact of stigma also extends to the family caregivers of individuals bearing such labels. In this article, we use examples from our investigations of individuals with dementia or MCI and their family caregivers to examine the impact of labeling and stigma on clinical research participation. We also discuss how stigma can affect numerous aspects of the nursing research process. Strategies are presented for addressing stigma-related barriers to participation in clinical research on dementia and MCI.
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http://dx.doi.org/10.3928/19404921-20090401-04 | DOI Listing |
Cell Mol Biol Lett
January 2025
Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Key Laboratory of Drug Research for Prevention and Treatment of Hyperlipidemic Diseases, Soochow University, 199 Ren'ai Road, Suzhou, 215123, Jiangsu, China.
Background: The protein cereblon (CRBN) mediates the antileukemia effect of lenalidomide (Len). Len binds to CRBN, recruits IKZF1/IKZF3, and promotes their ubiquitination and degradation, through which Len exhibits its antileukemia and antimyeloma activity. Therefore, the protein level of CRBN might affect the antiproliferative effect of Len.
View Article and Find Full Text PDFAnal Chem
January 2025
School of Chemistry and Chemical Engineering, State Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing 211189, China.
Formamidopyrimidine DNA glycosylase (Fpg) and flap endonuclease 1 (FEN1) are essential to sustaining genomic stability and integrity, while the abnormal activities of Fpg and FEN1 may lead to various diseases and cancers. The development of simple methods for simultaneously monitoring Fpg and FEN1 is highly desirable. Herein, we construct a multiple cyclic ligation-promoted exponential recombinase polymerase amplification (RPA) platform for sensitive and simultaneous monitoring of Fpg and FEN1 in cells and clinical tissues.
View Article and Find Full Text PDFAnal Chim Acta
March 2025
Holosensor Medical Technology Ltd, Room 12, No. 1798, Zhonghuayuan West Road, Yushan Town, Suzhou, 215000, China; Department of Veterinary Medicine, University of Cambridge, Cambridge, UK. Electronic address:
Rapid and sensitive protein detection methods are of benefit to clinical diagnosis, pathological mechanism research, and infection prevention. However, routine protein detection technologies, such as enzyme-linked immunosorbent assay and Western blot, suffer from low sensitivity, poor quantification and labourious operation. Herein, we developed a fully automated protein analysis system to conduct fast protein quantification at the single molecular level.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Cardiovascular Sciences, University of Leicester and the National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester LE3 9QP, UK
Introduction: Heart failure with preserved ejection fraction (HFpEF) is characterised by severe exercise intolerance, particularly in those living with obesity. Low-energy meal-replacement plans (MRPs) have shown significant weight loss and potential cardiac remodelling benefits. This pragmatic randomised trial aims to evaluate the efficacy of MRP-directed weight loss on exercise intolerance, symptoms, quality of life and cardiovascular remodelling in a multiethnic cohort with obesity and HFpEF.
View Article and Find Full Text PDFJ Ayurveda Integr Med
January 2025
Center for Clinical Research and Education, The University of Trans-Disciplinary Health Sciences and Technology, Bangalore, India; Internal Medicine - Cardiology, University of Michigan, Ann Arbor, MI, USA. Electronic address:
Background: Obesity is a rising risk factor for various diseases including cardiovascular diseases and Cancer. The limitations of targeted obesity-treatment approaches employed in the clinic presently underscore the importance of developing integrative management strategies for identification of specific biomarkers of obesity.
Objectives: Given the specificity of exosome/extracellular vesicle (EV) biomarkers, we aimed here to identify the EV biomarkers of Ayurveda treatment - Lekhana Basti - for Obesity.
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