Characterizing brain network alterations in cervical spondylotic myelopathy using static and dynamic functional network connectivity and machine learning.

Background: Cervical spondylotic myelopathy (CSM) is a debilitating condition that affects the cervical spine, leading to neurological impairments. While the neural mechanisms underlying CSM remain poorly understood, changes in brain network connectivity, particularly within the context of static and dynamic functional network connectivity (sFNC and dFNC), may provide valuable insights into disease pathophysiology. This study investigates brain-wide connectivity alterations in CSM patients using both sFNC and dFNC, combined with machine learning approaches, to explore their potential as biomarkers for disease classification and progression.

Artificial biomarker-based feedback-regulated personalized and precise thrombolysis with lower hemorrhagic risk.

The body weight-based thrombolytic medication strategy in clinical trials shows critical defects in recanalization rate and post-thrombolysis hemorrhage. Methods for perceiving thrombi heterogeneity of thrombolysis resistance is urgently needed for precise thrombolysis. Here, we revealed the relationship between the thrombin heterogeneity and the thrombolysis resistance in thrombi and created an artificial biomarker-based nano-patrol system with robotic functional logic to perceive and report the thrombolysis resistance of thrombi.

Clinical significance of HER2 in urothelial carcinoma and analysis of its correlation with glycolytic metabolic characteristics.

Objective: This study aimed to explore the clinical relevance of Human Epidermal Growth Factor Receptor 2 (HER2) in urothelial carcinoma (UC) and its association with glycolytic metabolic markers, insulin resistance, and beta-cell function, shedding light on potential therapies targeting both HER2 pathways and cancer metabolism.

Methods: In this retrospective analysis, 237 UC patients from the Departments of Urology and Pathology at Shandong Provincial Hospital were examined. From 1 January 2023, to 1 October 2024, patients underwent HER2 testing using immunohistochemistry (IHC).

Drosophila CG11700 may not affect male fecundity-lifespan tradeoff as previously reported.

Our recent investigations on the function of Drosophila CG11700 and CG32744 (Ubi-p5E) genes using CRISPR/Cas9 deletion technology could not repeat or confirm the results on CG11700 shown in our previous study which was based on P-element excision assay (Zhan et al. 2012). Here by CRISPR/Cas9 editing, we generated mutants of CG32744 with the whole gene body fully deleted from the genome, and truncated mutants of CG11700 with N-terminal 103 aa deleted out of its total 301 aa peptide sequence.