The low-density lipoprotein receptor-related protein (LRP) has recently been implicated in numerous intracellular signaling functions, as well as in Alzheimer's disease pathogenesis. Studies have shown that the beta-amyloid precursor protein (APP) interacts with LRP and that this association may impact the production of amyloid beta-protein (Abeta). In this report, we provide evidence that LRP regulates trafficking of intracellular proteins independently of its lipoprotein receptor functions. We show that in the absence of LRP, Abeta production, APP secretion, APP internalization, turnover of full-length APP and stability of APP C-terminal fragments are affected. Importantly, these changes are not APP isoform dependent. Using deletion constructs, the critical region in LRP that modulates APP processing was mapped to a seven peptide domain around the second NPXY domain (residues 4504-4510). Therefore, we propose a model by which LRP functionally modulates APP processing, including those steps critical for Abeta production, through interactions of the cytosolic domains.
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http://dx.doi.org/10.1093/emboj/cdf568 | DOI Listing |
Sci Rep
January 2025
Department of Computer Science and Engineering, Engineering College Ajmer, Ajmer, Rajasthan, India.
To combat dynamically loaded code in anti-emulated environments, DLCDroid is an Android app analysis framework. DL-CDroid uses the reflection API to effectively identify information leaks due to dynamically loaded code within malicious apps, incorporating static and dynamic analysis techniques. The Dynamically Loaded Code (DLC) technique employs Java features to allow Android apps to dynamically expand their functionality at runtime.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Institute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, United Kingdom, 44 07742966769.
Background: The rapid proliferation of health apps has not been matched by a comparable growth in scientific evaluations of their effectiveness, particularly for apps available to the public. This gap has prompted ongoing debate about the types of evidence necessary to validate health apps, especially as the perceived risk level varies from wellness tools to diagnostic aids. The perspectives of the general public, who are direct stakeholders, are notably underrepresented in discussions on digital health evidence generation.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
School of Management, Zhengzhou University, Zhengzhou, China.
Background: Health data typically include patient-generated data and clinical medical data. Different types of data contribute to disease prevention, precision medicine, and the overall improvement of health care. With the introduction of regulations such as the Health Insurance Portability and Accountability Act (HIPAA), individuals play a key role in the sharing and application of personal health data.
View Article and Find Full Text PDFFood Chem
January 2025
College of Food Science and Engineering, College of Chemistry and Materials Engineering, Institute of Ocean, National & Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, Bohai University, Jinzhou 121013, PR China. Electronic address:
In this study, a novel "OFF-ON" fluorescent probe MPZ ((E)-5-((10-ethyl-2-methoxy-10H-phenothiazin-3-yl)methylene)thiazolidine-2,4-dione) based on phenothiazine is synthesized, which can rapidly (7 s) detect biogenic amines (BAs) through deprotonation, utilizing both colorimetric and fluorescent dual channels. An app for visual portable detection of fish freshness, named "Visual Evaluation", is independently developed. This app integrates several functions, including image capture, editable scanning of red, green, and blue (RGB) values, data analysis fitting, data storage, and verification.
View Article and Find Full Text PDFForensic Sci Int Genet
January 2025
National Bioforensic Analysis Center, National Biodefense Analysis and Countermeasures Center, Operated by Battelle National Biodefense Institute for the US. Department of Homeland Security Science and Technology Directorate, 8300 Research Plaza, Fort Detrick, MD 21702, USA. Electronic address:
The generation of forensic DNA profiles consisting of single nucleotide polymorphisms (SNPs) is now being facilitated by wider adoption of next-generation sequencing (NGS) methods in casework laboratories. At the same time, and in part because of this advance, there is an intense focus on the generation of SNP profiles from evidentiary specimens for so-called forensic or investigative genetic genealogy (FGG or IGG) applications. However, FGG methods are constrained by the algorithms for genealogical database searches, which were designed for use with single-source profiles, and the fact that many forensic samples are mixtures.
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