Nucleic acid detection is critical in disease diagnosis as well as in the environmental assays of harmful bacteria or viruses and forensic applications. Current methods for visualized quantification of DNA require costly and sophisticated instruments. Here, we report a multistage propelled volumetric bar chart chip (MV-Chip) for multiplexing and quantitative detection of DNA. Owing to its ‘rocket-like’ propelling reaction, the pre-deposited platinum films could perform cascade amplification and detect as low as 20 pM DNA targets after three stages platinum catalyzed propulsion. The resulting ink bar charts can be directly read out by the naked eye and the signal shows little interference from serum. Single-nucleotide polymorphism and multiplex DNA detection were carried out to demonstrate this powerful application.
Carbon-intensive energy infrastructure in the BRI region has exacerbated prospects for climate change. An integrated model was developed to explore the potential of solar photovoltaics as a climate-friendly alternative to achieve the 2 C climate targets outlined in Paris. Results indicate that the solar photovoltaics potential in the BRI region is 41.3 times the regional electricity demand of 2016. The mismatch between technical potential and electricity consumption highlights the advantage of regional cooperation as well as investments in electric power grid interconnections.
Background Cancer therapy-related cardiac dysfunction (CTRD) is a major source of morbidity and mortality in long-term cancer survivors. Decreased GLS predicts decreased left ventricular ejection fraction (LVEF) in patients receiving anthracyclines, but knowledge regarding the clinical utility of baseline GLS in patients at low-risk of (CTRD) is limited. Objectives The purpose of this study was to investigate whether baseline echocardiographic assessment of global longitudinal strain (GLS) before treatment with anthracyclines is predictive of (CTRD) in a broad cohort of patients with normal baseline LVEF. Methods Study participants comprised 188 patients at a single institution who underwent baseline 2-dimensional (2D) speckle-tracking echocardiography before treatment with anthracyclines and at least one follow-up echocardiogram 3 months after chemotherapy initiation. Patients with a baseline LVEF <55% were excluded from the analysis. The primary endpoint, (CTRD), was defined as an absolute decline in LVEF > 10% from baseline and an overall reduced LVEF <50%. Potential and known risk factors were evaluated using univariable and multivariable Cox proportional hazards regression analysis. Results Twenty-three patients (12.23%) developed (CTRD). Among patients with (CTRD), the mean GLS was -17.51% ± 2.77%. The optimal cutoff point for (CTRD) was -18.05%. The sensitivity was 0.70 and specificity was 0.70. The area under ROC curve was 0.70. After adjustment for cardiovascular and cancer therapy related risk factors, GLS or decreased baseline GLS ≥-18% was predictive of (CTRD) (adjusted hazards ratio 1.17, 95% confidence interval 1.00, 1.36; p = 0.044 for GLS, or hazards ratio 3.54; 95% confidence interval 1.34, 9.35; p = 0.011 for decreased GLS), along with history of tobacco use, pre-chemotherapy systolic blood pressure, and cumulative anthracycline dose. Conclusions Baseline GLS or decreased baseline GLS was predictive of (CTRD) before anthracycline treatment in a cohort of cancer patients with a normal baseline LVEF. This data supports the implementation of strain-protocol echocardiography in cardio-oncology practice for identifying and monitoring patients who are at elevated risk of (CTRD).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.