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Objective: This study investigated how educational levels modify the relationship between the standard deviation of NN intervals (SDNN) of heart rate variability and the development of post-traumatic stress disorder (PTSD).
Methods: Participants with physical injuries were enrolled from a trauma center and monitored over two years. Initial assessments included SDNN and educational attainment, along with socio-demographic and clinical variables. PTSD diagnoses were made at 3, 6, 12, and 24 months post-injury using the Clinician-Administered PTSD Scale for DSM-5. Logistic regression analyses were conducted.
Results: Of the 538 participants, 58 (10.8%) developed PTSD during the follow-up period. A significant interaction effect was observed: lower SDNN was significantly linked to PTSD in individuals with higher education, but not in those with lower education.
Conclusion: The study identified education-dependent associations between SDNN and PTSD development, emphasizing the importance of tailored PTSD prevention strategies that consider both SDNN and educational levels.
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http://dx.doi.org/10.9758/cpn.24.1210 | DOI Listing |
PLoS Comput Biol
September 2025
Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Understanding acute infectious disease dynamics at individual and population levels is critical for informing public health preparedness and response. Serological assays, which measure a range of biomarkers relating to humoral immunity, can provide a valuable window into immune responses generated by past infections and vaccinations. However, traditional methods for interpreting serological data, such as binary seropositivity and seroconversion thresholds, often rely on heuristics that fail to account for individual variability in antibody kinetics and timing of infection, potentially leading to biased estimates of infection rates and post-exposure immune responses.
View Article and Find Full Text PDFPLoS One
September 2025
Institute of Laboratory Animal Science, Medical Faculty, Heinrich-Heine-University, Duesseldorf, Germany.
Early-career researchers (ECRs) play a key role in conducting animal experiments in academic research. However, they face considerable challenges, including poor working conditions, and inadequate strategies for managing distress. These difficulties are often amplified in animal research, where a lack of consensus on the 3Rs (replacement, reduction, and refinement), challenges to navigate complex regulations and ethical dilemmas can further complicate the situation.
View Article and Find Full Text PDFIEEE Trans Comput Biol Bioinform
September 2025
Deciphering the three-dimensional structure of proteins remains a grand challenge in biology and medicine, as it holds the key to understanding their biological functions and facilitating drug discovery. In this paper, we introduce DECIPHER (Deep Encoding of Cellular Interactions and Protein HiErarchical Representation), a novel deep graph learning framework for protein structure prediction. By representing proteins as graphs, where residues and atoms serve as nodes and their interactions form edges, we capture the intricate spatial relationships within these complex biomolecules.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
Institute of Hospital Management, Peking University Third Hospital, Beijing, China.
Background: Telemedicine is developing rapidly, presenting new opportunities and challenges for physicians and patients. Limited research has examined physicians' behavior during the process of adopting telemedicine and related factors.
Objective: This study aimed to identify perceived barriers and enablers of physicians' adoption of telemedicine and to develop intervention strategies.
Cell Mol Biol (Noisy-le-grand)
September 2025
University Sousse, Faculty of Medicine "Ibn El-Jazzar", Department of Medical Genetics, Sousse, Tunisia.
The global epidemic of overweight and obesity is closely linked to the development of chronic kidney disease (CKD), with extremely obese individuals facing a particularly high risk. This study aimed to assess the relationship between lipid profile levels, SIRT1 expression, and RNA-34a-5P in the regulation of blood lipid levels among severely obese individuals with renal diseases. Conducted over six months in three specialized hospitals, the study included 100 participants divided into two groups: 50 obese individuals with renal diseases and 50 obese controls without renal problems.
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