Leukemic stem cells that expressed endogenous telomerase activity were induced to show overexpression of exogenous hTERT and were analyzed for biological changes in order to assess the possible influence of telomerase gene therapy on the transplantation of normal hematopoietic stem cells. Introduction of hTERT into K562, a telomerase-positive immortal cell line, resulted in a 2.5-fold elevation of telomerase activity and the lengthening of telomeres by 6 kb to 23 kb. Real-time fluorescent PCR, which could perform quantitative analysis of transcripts, revealed a 175-fold increase in hTERT expression, suggesting the posttranscriptional regulation of telomerase. Ectopic expression of hTERT in K562 cells showed a survival advantage during culture in the absence of serum. Expression of mRNA for the telomeric-repeat binding factor 1 (TRF1) and caspase-3 activity were both decreased in hTERT-transfected K562 cells. Transduced cells retained their usual phenotypic characteristics, differentiation ability, and signal transduction response to TPA. These data suggest that ectopic expression of hTERT by normal hematopoietic stem cells may confer a survival advantage without changing their innate biological characteristics.
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http://dx.doi.org/10.3727/000000003108746911 | DOI Listing |
iScience
January 2025
Laboratory of Functional Molecules and Materials, School of Physics and Optoelectronic Engineering, Shandong University of Technology, 266 Xincun Xi road, Zibo 255000, P.R. China.
In recent years, photocatalytic materials with a nanofiber-like morphology have garnered a surge of academic attention due to their distinctive properties, including an expansive specific surface area, a considerable high aspect ratio, a pronounced resistance to agglomeration, superior electron survivability, and robust surface activity. Consequently, the synthesis of photocatalytic nanofiber materials through various methodologies has drawn considerable attention. The electrospinning technique has been established as a prevalent method for fabricating nanofiber-structured materials, owing to its advantageous properties, including the ability for mass production and the assurance of high continuity.
View Article and Find Full Text PDFGlob Epidemiol
June 2025
Business Analytics (BANA) Program, Business School, University of Colorado, 1475 Lawrence St. Denver, CO 80217-3364, USA.
AI-assisted data analysis can help risk analysts better understand exposure-response relationships by making it relatively easy to apply advanced statistical and machine learning methods, check their assumptions, and interpret their results. This paper demonstrates the potential of large language models (LLMs), such as ChatGPT, to facilitate statistical analyses, including survival data analyses, for health risk assessments. Through AI-guided analyses using relatively recent and advanced methods such as Individual Conditional Expectation (ICE) plots using Random Survival Forests and Heterogeneous Treatment Effects (HTEs) estimated using Causal Survival Forests, population-level exposure-response functions can be disaggregated into individual-level exposure-response functions.
View Article and Find Full Text PDFRev Cardiovasc Med
January 2025
Department of Anesthesiology, Intensive Care Medicine, Emergency Medicine, Pain and Palliative Therapy, Asklepios Klinikum Harburg, 21075 Hamburg, Germany.
Out-of-hospital cardiac arrest (OHCA) is a leading cause of death worldwide, with a low survival rate of around 7% globally. Key factors for improving survival include witnessed arrest, bystander cardiopulmonary resuscitation (CPR), and early defibrillation. Despite guidelines advocating for the "chain of survival", bystander CPR and defibrillation rates remain suboptimal.
View Article and Find Full Text PDFJ Pharm Technol
January 2025
College of Medicine, Korea University, Seoul, Republic of Korea.
To compare the efficacy and safety of 12-24 hours versus 72 hours of intravenous terlipressin therapy in patients with acute esophageal variceal bleeding (AVB). A systematic search was conducted using PubMed, Scopus, Cochrane Library, Google Scholar, Web of Science, VHL, and ClinicalTrials.gov for studies published up to February 24, 2024.
View Article and Find Full Text PDFHeliyon
January 2025
Centre for Health Systems and Policy Research, JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Background: The adverse health impacts of ambient temperature have been well-documented, encompassing not only the mortality and morbidity burden but also mood and mental health disorders. However, the relationship between temperature and social isolation remains unexplored. The objective of the current study was to investigate the potential associations between ambient temperature and social isolation among the aging population.
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