Background: Ischemia-modified albumin (IMA) has been shown to be a rapidly rising and sensitive biochemical marker especially for the diagnosis of myocardial ischemia. The aim of this study was to evaluate the influence of temperature on the capacity of cobalt binding to human albumin and the influence of this variable on IMA measurement.
Methods: The following temperatures of incubation were tested for human albumin standard 25 degrees C, 28 degrees C, 31 degrees C, 34 degrees C, and 37 degrees C and for patients with suspected acute coronary syndrome, room temperature and 37 degrees C. IMA was measured by cobalt-albumin binding assay.
Results: There was a strong positive correlation (r = 0.98, p < 0.001) between IMA and the assay temperatures. IMA levels were 0.68 +/- 0.25 absorbance units (ABSU) at room temperature and 0.92 +/- 0.33 ABSU (p < 0.001) at 37 degrees C in the study participants.
Conclusions: IMA values were influenced by the assay temperature.
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AMB Express
January 2025
Botany and Microbiology Department, Faculty of Science, Cairo University, Giza, 12613, Egypt.
A Novel cold-active chitin deacetylase from Shewanella psychrophila WP2 (SpsCDA) was overexpressed in Escherichia coli BL21 and employed for deacetylation of chitin to chitosan. The produced chitosan was characterized, and its antifungal activity was investigated against Fusarium oxysporum. The purified recombinant SpsCDA appeared as a single band on SDS-PAGE at approximately 60 kDa, and its specific activity was 92 U/mg.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
January 2025
Department of Medical Biophysics, University of Toronto, Toronto, Canada.
Purpose: During endovascular revascularization interventions for peripheral arterial disease, the standard modality of X-ray fluoroscopy (XRF) used for image guidance is limited in visualizing distal segments of infrapopliteal vessels. To enhance visualization of arteries, an image registration technique was developed to align pre-acquired computed tomography (CT) angiography images and to create fusion images highlighting arteries of interest.
Methods: X-ray image metadata capturing the position of the X-ray gantry initializes a multiscale iterative optimization process, which uses a local-variance masked normalized cross-correlation loss to rigidly align a digitally reconstructed radiograph (DRR) of the CT dataset with the target X-ray, using the edges of the fibula and tibia as the basis for alignment.
Sci Rep
January 2025
State Key Laboratory of Geohazard Prevention and GeoEnvironment Protection, Chengdu University of Technology, Chengdu, 610059, Sichuan, China.
Pakistan's geographic location makes it an important land hub between Central Asia, Middle East-North Africa, and China. However, the railways, roads, farmland, riverways, and residential quarters in the Piedmont plains of Baluchistan province in northwestern Pakistan are under serious threat of flooding in the summer of 2022. The urgency and severity of climate change's impact on humanity are underscored by the significant threats posed to human life and property in Piedmont Plains environments through extreme flood events, which has garnered widespread concerns.
View Article and Find Full Text PDFSci Rep
January 2025
College of Architecture and Urban Planning, Guizhou University, Guiyang, 550025, China.
Karst small towns globally face challenges due to limited disaster-resilient resources, making it difficult to handle increasingly severe disaster environments. Improving the efficiency of disaster-resilient resource utilization and maintaining a tight balance state of disaster-resilient resources (TBS) are crucial for enhancing disaster adaptability and resilience. This study used urban and disaster data from a representative karst region in China (2017-2021) to conduct a quantitative analysis of TBS in karst small towns, exploring the mechanisms and interactions within this state and identifying obstacle factors.
View Article and Find Full Text PDFSci Rep
January 2025
College of Computer and Information Engineering, Nanjing Tech University, Nanjing, 211800, China.
Graph data is essential for modeling complex relationships among entities. Graph Neural Networks (GNNs) have demonstrated effectiveness in processing low-order undirected graph data; however, in complex directed graphs, relationships between nodes extend beyond first-order connections and encompass higher-order relationships. Additionally, the asymmetry introduced by edge directionality further complicates node interactions, presenting greater challenges for extracting node information.
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