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Hypertens Pregnancy
December 2025
Department of Physiology and Anatomy, University of North Texas Health Science Center, Fort Worth, TX, USA.
Background: Preeclampsia (PE) is characterized as de novo hypertension (HTN) with end-organ damage, especially in the brain. PE is hypothesized to be caused by placental ischemia. PE affects ~5-8% of USA pregnancies and increases the risk for HTN and cerebrovascular diseases (CVD) later in life.
View Article and Find Full Text PDFBMC Psychol
January 2025
Faculty of Psychology, Naval Medical University, Shanghai, China.
Anxiety is known to significantly impair cognitive function, particularly attentional control. While exercise has been demonstrated to alleviate these cognitive deficits, the precise neural mechanisms underlying these effects remain poorly understood. This study examines the effects of exercise on attentional control in individuals with high trait anxiety, based on attentional control theory, which suggests that such individuals have reduced top-down attention.
View Article and Find Full Text PDFJ Orthop Surg Res
January 2025
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China.
Background: Knee Osteoarthritis (KOA) is a prevalent condition worldwide, significantly diminishing quality of life and productivity. Except for the alignment change, muscle activation patterns (MAP) have garnered increasing attention as another crucial factor contributing to KOA.
Objective: This study explores the factors, characteristics, and effects of MAP changes caused by KOA, providing a neuromuscular-based causal analysis for the rehabilitation treatment of KOA.
Sorbitol is an important primary metabolite that serves as both a carbon source and signal to pathogens. The leaf diseases caused by Alternata alternata are particularly serious in crabapple (Malus micromalus). Here, we found that sorbitol can enhance the resistance of crabapple to A.
View Article and Find Full Text PDFBMC Chem
January 2025
Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, Vidya Vihar, Pilani, Rajasthan, 333 031, India.
A large set of antimalarial molecules (N ~ 15k) was employed from ChEMBL to build a robust random forest (RF) model for the prediction of antiplasmodial activity. Rather than depending on high throughput screening (HTS) data, molecules tested at multiple doses against blood stages of Plasmodium falciparum were used for model development. The open-access and code-free KNIME platform was used to develop a workflow to train the model on 80% of data (N ~ 12k).
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