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This study aimed to evaluate the adverse event profile of remimazolam, a novel ultra-short-acting benzodiazepine, with a focus on its safety in the respiratory, cardiovascular, and immune systems across diverse patient populations. We analyzed adverse event reports from the FAERS database over a defined period, performing signal detection using the proportional reporting ratio (PRR) and the reporting odds ratio (ROR), and contextualized the findings with a concurrent literature review. Remimazolam demonstrated a strong signal for hypoventilation. In the cardiovascular system, it was associated with serious adverse events, including cardiac and cardiorespiratory arrest, particularly in high-risk patients. Furthermore, we detected significant signals for severe hypersensitivity reactions, such as anaphylactic shock and laryngeal edema, while signals in other systems were less pronounced but remained clinically significant. Given that the study population was predominantly elderly, and considering the serious nature of the identified signals, its potential for adverse events necessitates vigilant monitoring. Future research should focus on clarifying risks within specific high-risk groups to establish optimized safety protocols.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12373250 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0330769 | PLOS |
Anal Chem
September 2025
Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological and Chemical Engineering, Jiaxing University, Jiaxing 314001, China.
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September 2025
State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, College of Energy, Discipline of Intelligent Instrument and Equipment, State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen 361
Rolling circle amplification (RCA) has revolutionized nucleic acid detection owing to its isothermal simplicity. However, over two decades of clinical application have been hampered by off-target amplification and incompatibility with double-stranded DNA (dsDNA). Herein, a strategy, specifically cleavage of rationally designed DNA/RNA chimeric hairpin preprimer by dsDNA-targeted CRISPR/Cas12a to rlease ssRNA for initiating RCA (SCOPE-RCA), is proposed for nucleic acid identification of African swine fever virus (ASFV).
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September 2025
Chemistry Department, Indiana University, 800 E Kirkwood Ave, Bloomington, Indiana 47405.
In charge detection mass spectrometry (CD-MS) ions are trapped in an electrostatic linear ion trap (ELIT) where they oscillate back and forth through a conducting cylinder. The oscillating ions induce a periodic charge separation that is detected by a charge sensitive amplifier (CSA) connected to the cylinder. The resulting time domain signal is analyzed using short-time Fourier transforms to give the mass-to-charge ratio and charge for each ion, which are then multiplied to give the mass.
View Article and Find Full Text PDFAnal Chem
September 2025
School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo 255049, PR China.
Pax-5a gene, as a nucleic acid biomarker closely associated with B-cell acute lymphoblastic leukemia (B-ALL), holds significant potential for early disease diagnosis. In this study, we developed a highly accurate and efficient "on-super on-off" photoelectrochemical (PEC) biosensor based on a dual-photoelectrode heterojunction system integrated with a multisphere cascade DNA amplification strategy. The designed heterojunction dual-photoelectrode platform, comprising a InO/CdS photoanode (on state) and an in situ-formed MIL-68(In)/InO (MIO) photocathode, effectively extends the electron-hole transport pathway, enhances photogenerated charge separation, and produces high-amplitude signal output (super on state), thereby providing a robust baseline for signal transduction.
View Article and Find Full Text PDFIEEE Trans Pattern Anal Mach Intell
September 2025
Sentence-level semantics plays a key role in language understanding. There exist subtle relations and dependencies among sentence-level samples, which is to be exploited. For example, in relational triple extraction, existing models overemphasize extraction modules, ignoring the sentence-level semantics and relation information, which causes (1) the semantics fed to extraction modules is relation-unaware; (2) each sample is trained individually without considering inter-sample dependency.
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