Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587001 | PMC |
| http://dx.doi.org/10.21037/jtd-23-1167 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Polymorphism in Genes Encoding HSP40 Family Proteins is Associated with Ischemic Stroke Risk and Brain Infarct Size: A Pilot Study.
J Integr Neurosci
December 2024
Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, 305041 Kursk, Russia.
Background: Heat shock proteins (HSPs) play a critical role in the molecular mechanisms of ischemic stroke (IS). A possible role for HSP40 family proteins in atherosclerosis progression has already been revealed; however, to date, molecular genetic studies on the involvement of genes encoding proteins of the HSP40 family in IS have not yet been carried out.
Aim: We sought to determine whether nine single nucleotide polymorphisms (SNPs) in genes encoding HSP40 family proteins (, , , , and ) are associated with the risk and clinical features of IS.
Identifying Sequence Effects on Chain Dimensions of Disordered Proteins by Integrating Experiments and Simulations.
JACS Au
December 2024
Department of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
It has become increasingly evident that the conformational distributions of intrinsically disordered proteins or regions are strongly dependent on their amino acid compositions and sequence. To facilitate a systematic investigation of these sequence-ensemble relationships, we selected a set of 16 naturally occurring intrinsically disordered regions of identical length but with large differences in amino acid composition, hydrophobicity, and charge patterning. We probed their conformational ensembles with single-molecule Förster resonance energy transfer (FRET), complemented by circular dichroism (CD) and nuclear magnetic resonance (NMR) spectroscopy as well as small-angle X-ray scattering (SAXS).
View Article and Find Full Text PDFNomogram Based on Immune-Inflammatory Score and Classical Clinicopathological Parameters for Predicting the Recurrence of Endometrial Carcinoma: A Large, Multi-Center Retrospective Study.
J Inflamm Res
December 2024
Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Background: Surgery is the best approach to treat endometrial cancer (EC); however, there is currently a deficiency in effective scoring systems for predicting EC recurrence post-surgical resection. This study aims to develop a clinicopathological-inflammatory parameters-based nomogram to accurately predict the postoperative recurrence-free survival (RFS) rate of EC patients.
Methods: A training set containing 1068 patients and an independent validation set consisting of 537 patients were employed in this retrospective study.
Prediction of postoperative stroke in patients experienced coronary artery bypass grafting surgery: a machine learning approach.
Front Cardiovasc Med
December 2024
Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Background: Coronary artery bypass grafting (CABG) surgery has been a widely accepted method for treating coronary artery disease. However, its postoperative complications can have a significant effect on long-term patient outcomes. A retrospective study was conducted to identify before and after surgery that contribute to postoperative stroke in patients undergoing CABG, and to develop predictive models and recommendations for single-factor thresholds.
View Article and Find Full Text PDFWind is a significant cause of power outages in overhead line networks. Present electricity distribution network management systems provide an extensive amount of data on network faults. These data combined with the openly available weather and soil information allow to analyze the impact of wind and soil frost on electricity system reliability more accurately than in the past.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!