JOURNAL/nrgr/04.03/01300535-202508000-00027/figure1/v/2024-09-30T120553Z/r/image-tiff Several promising plasma biomarker proteins, such as amyloid-β (Aβ), tau, neurofilament light chain, and glial fibrillary acidic protein, are widely used for the diagnosis of neurodegenerative diseases. However, little is known about the long-term stability of these biomarker proteins in plasma samples stored at -80°C. We aimed to explore how storage time would affect the diagnostic accuracy of these biomarkers using a large cohort. Plasma samples from 229 cognitively unimpaired individuals, encompassing healthy controls and those experiencing subjective cognitive decline, as well as 99 patients with cognitive impairment, comprising those with mild cognitive impairment and dementia, were acquired from the Sino Longitudinal Study on Cognitive Decline project. These samples were stored at -80°C for up to 6 years before being used in this study. Our results showed that plasma levels of Aβ42, Aβ40, neurofilament light chain, and glial fibrillary acidic protein were not significantly correlated with sample storage time. However, the level of total tau showed a negative correlation with sample storage time. Notably, in individuals without cognitive impairment, plasma levels of total protein and tau phosphorylated protein threonine 181 (p-tau181)also showed a negative correlation with sample storage time. This was not observed in individuals with cognitive impairment. Consequently, we speculate that the diagnostic accuracy of plasma p-tau181 and the p-tau181 to total tau ratio may be influenced by sample storage time. Therefore, caution is advised when using these plasma biomarkers for the identification of neurodegenerative diseases, such as Alzheimer's disease. Furthermore, in cohort studies, it is important to consider the impact of storage time on the overall results.
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http://dx.doi.org/10.4103/NRR.NRR-D-23-01983 | DOI Listing |
Med Sci Sports Exerc
October 2024
School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH.
Purpose: Motion capture technology is quickly evolving providing researchers, clinicians, and coaches with more access to biomechanics data. Markerless motion capture and inertial measurement units (IMUs) are continually developing biomechanics tools that need validation for dynamic movements before widespread use in applied settings. This study evaluated the validity of a markerless motion capture, IMU, and red, green, blue, and depth (RGBD) camera system as compared to marker-based motion capture during countermovement jumps, overhead squats, lunges, and runs with cuts.
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December 2024
Laboratory of Biochemistry and Vascular Biology, Center for Biologic Evaluation and Research, Food and Drug Administration, Bethesda, 20993, MD, USA.
Blood storage lesion induces cytosolic and membrane changes driven in part by hemoglobin (Hb) oxidation reactions within red blood cells (RBCs). A novel gel formulation containing the antioxidant curcuminoids in a biocompatible solvent system was used to deliver curcumin into RBCs. Incubation of peroxide treated RBCs stored in PBS with curcumin gel led to a reduction in prooxidant ferrylHb and recovery in ATP.
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December 2024
Fidson Health Care PLC, Ibadan, Oyo State, Nigeria.
This study assessed the factors militating against the effective implementation of electronic health records (EHR) in Nigeria, the computerization of patients' health records with a lot of benefits including improved patients' satisfaction, improved care processes, reduction of patients' waiting time, and medication errors. Despite these benefits, healthcare organizations are slow to adopt the EHR system. Therefore, the study assessed the factors militating against the effective implementation of the EHR system, the level of awareness of EHR, and the utilization of electronic health records; it also investigated the factors militating against the effective implementation of EHR.
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December 2024
Department of Computer Science, College of Education for Pure Sciences, University of Basrah, Basrah, Iraq.
Vehicular Ad-hoc Networks (VANETs) are growing into more desirable targets for malicious individuals due to the quick rise in the number of automated vehicles around the roadside. Secure data transfer is necessary for VANETs to preserve the integrity of the entire network. Federated learning (FL) is often suggested as a safe technique for exchanging data among VANETs, however, its capacity to protect private information is constrained.
View Article and Find Full Text PDFJ Mol Biol
December 2024
Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA. Electronic address:
The Papilloma Virus Episteme (PaVE) https://pave.niaid.nih.
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