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A cyclic tetra-phosphorylated biomimetic peptide (pS1368) has been proposed as a promising starting structure to design a decorporating agent of uranyl (UO) due to its affinity being similar to that of osteopontin (OPN), a target UO protein in vivo. The determination of this peptide's selectivity towards UO in the presence of competing endogenous elements is also crucial to validate this hypothesis. In this context, the selectivity of pS1368 towards UO in the presence of Ca, Cu and Zn was determined by applying the simultaneous coupling of hydrophilic interaction chromatography (HILIC) to electrospray ionization (ESI-MS) and inductively coupled plasma (ICP-MS) mass spectrometry. Sr was used as Ca simulant, providing less challenging ICP-MS measurements. The separation of the complexes by HILIC was first set up. The selectivity of pS1368 towards UO was determined in the presence of Sr, by adding several proportions of the latter to UO(pS1368). UO was not displaced from UO(pS1368) even in the presence of a ten-fold excess of Sr. The same approach has been undertaken to demonstrate the selectivity of pS1368 towards UO in the presence of Cu, Zn and Sr as competing endogenous cations. Hence, we showed that pS1368 was selective towards UO in the presence of Sr, but also in the presence of Cu and Zn. This study highlights the performance of HILIC-ESI-MS/ICP-MS simultaneous coupling to assess the potential of molecules as decorporating agents of UO.
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http://dx.doi.org/10.1007/s00216-023-04884-4 | DOI Listing |
Pathol Res Pract
September 2025
Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China. Electronic address:
Our research aims to ascertain the value of precursor and outgrowth lepidic in aiding the confirmation of multiple lung adenocarcinomas as separate primary lung cancers (SPLC). A total of 151 patients with metachronous multiple invasive adenocarcinomas were included in this study. Driver mutation tests(at least five genes: EGFR, ALK, KRAS, BRAF, and ROS1) were conducted on 302 tumors collected from 151 patients.
View Article and Find Full Text PDFPLoS One
September 2025
Hunan Mingxiang Aviation Technology Co., Ltd., Changsha, Hunan, China.
Flexible spacecraft possess the ability to adapt to complex environments and use energy more efficiently, offering enhanced flexibility and stability in space missions, particularly in tasks with significant external disturbances such as deep space exploration and satellite attitude control. However, vibration suppression in flexible spacecraft remains a critical challenge. This study addresses the problem of vibration suppression in flexible spacecraft systems under external disturbances and input constraints.
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
Faculty of Science, Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, the Netherlands.
Predictive coding (PC) proposes that our brains work as an inference machine, generating an internal model of the world and minimizing predictions errors (i.e., differences between external sensory evidence and internal prediction signals).
View Article and Find Full Text PDFPLoS One
September 2025
Department of Computer Science, Osun State University, Osogbo, Nigeria.
Probabilistic Random Forest is an extension of the traditional Random Forest machine learning algorithm that is one of the frequently used machine learning algorithms employed for species distribution modeling. However, with the use of complex dataset for predicting the presence or absence of the species, It is essential that feature extraction is important to generate optimal prediction that can affect the model accuracy and AUC score of the model simulation. In this paper, we integrated the Genetic Algorithm Optimization technique, which is popular for its excellent feature extraction technique, to enhance the predictive performance of the PRF Model.
View Article and Find Full Text PDFPLoS One
September 2025
The Second Affiliated Hospital of Baotou Medical College, Inner Mongolia, Baotou, China.
Background: Type 2 diabetes mellitus (T2DM) complicated with ischemic stroke is a major challenge to global public health and is related to poor prognosis. However, the role of blood urea nitrogen(BUN)to serum albumin ratio (BAR) in predicting in-hospital mortality of T2DM patients with ischemic stroke has not been fully explored. This study was carried out to investigate the relationship between BAR level and in-hospital mortality of T2DM patients with ischemic stroke.
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