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Impact of the external knee flexion moment on patello-femoral loading derived from loads and kinematics.
Front Bioeng Biotechnol
January 2025
Julius Wolff Institute, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
Introduction: Anterior knee pain and other patello-femoral (PF) complications frequently limit the success of total knee arthroplasty as the final treatment of end stage osteoarthritis. However, knowledge about the loading conditions at the PF joint remains limited, as no direct measurements are available. We hypothesised that the external knee flexion moment (EFM) is highly predictive of the PF contact forces during activities with substantial flexion of the loaded knee.
View Article and Find Full Text PDFTERT-TP53 mutations: a novel biomarker pair for hepatocellular carcinoma recurrence and prognosis.
Sci Rep
January 2025
Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Hepatocellular carcinoma (HCC) is the most prevalent form of liver cancer, and ranks among the most lethal malignancies globally, primarily due to its high rates of recurrence and metastasis. Despite the urgency, no reliable biomarkers currently exist for predicting tumor recurrence in HCC. Telomerase reverse transcriptase (TERT) promoter mutations (TERTpm) and cellular tumor antigen p53 mutations (TP53m) have been frequently documented in HCC, but their combined clinical significance remains undefined.
View Article and Find Full Text PDFThe naples prognostic score as a new predictor for heart failure: A cross-sectional study.
Heart Lung
January 2025
Henan University, 379 North Section of Mingli Road, Zhengzhou, China.
Background: The Naples prognostic score (NPS), a novel nutritional and inflammatory index, holds great promise for predicting the prognosis of heart failure (HF), but research on its association with HF outcomes is limited.
Objective: To analyze the relationship between the NPS and the incidence rate and long-term prognosis of HF.
Methods: Participants from the National Health and Nutrition Examination Survey (NHANES) data were allocated into three groups (group 0 (the NPS=0), group 1-2 (the NPS=1-2), and group 3-4 (the NPS=3-4)) based on the NPS level.
Exploration of the genetic landscape of bacterial dsDNA viruses reveals an ANI gap amid extensive mosaicism.
mSystems
January 2025
Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.
Average nucleotide identity (ANI) is a widely used metric to estimate genetic relatedness, especially in microbial species delineation. While ANI calculation has been well optimized for bacteria and closely related viral genomes, accurate estimation of ANI below 80%, particularly in large reference data sets, has been challenging due to a lack of accurate and scalable methods. To bridge this gap, we introduce MANIAC, an efficient computational pipeline optimized for estimating ANI and alignment fraction (AF) in viral genomes with divergence around ANI of 70%.
View Article and Find Full Text PDFpLM4CPPs: Protein Language Model-Based Predictor for Cell Penetrating Peptides.
J Chem Inf Model
January 2025
Department of Grain Science and Industry, Kansas State University, Manhattan, Kansas 66506, United States.
Cell-penetrating peptides (CPPs) are short peptides capable of penetrating cell membranes, making them valuable for drug delivery and intracellular targeting. Accurate prediction of CPPs can streamline experimental validation in the lab. This study aims to assess pretrained protein language models (pLMs) for their effectiveness in representing CPPs and develop a reliable model for CPP classification.
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