Lactiplantibacillus plantarum (L. plantarum) have been studied for their antioxidant properties, which can mitigate oxidative stress and improve health outcomes. The study aimed to compare the antioxidant properties of single and binary L. plantarum and their impact on yogurt. L. plantarum 847 (Lp-C), L. plantarum 8014 (Lp-G), and their combination were chosen for their in vitro antioxidant potential. In vivo experiments were performed in Drosophila melanogaster (D. melanogaster) and results showed that binary L. plantarum significantly improved the survival time, weight, catalase activity and intestinal integrity in HO-induced flies. As compared with single L. plantarum treated flies, binary strains improved the survival curve, superoxide dismutase and catalase activities in females, prolonged the average survival time in males, and increased the expression level of keap1, Nrf2 and SOD genes in all genders. To explore the effect of single and binary L. plantarum on milk fermentation, the physicochemical properties and antioxidant activity of yogurt were detected, and results presented that yogurt fermented with L. plantarum exhibited the improved antioxidant capacity, with the binary strain combination demonstrating superior effects in rheological properties and the later period of yogurt storage. This research offers a foundation for choosing the combinations of lactic acid bacteria (LAB) with antioxidant properties.
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http://dx.doi.org/10.3168/jds.2024-25722 | DOI Listing |
Alzheimers Dement
December 2024
Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Background: The prohibitive costs of drug development for Alzheimer's Disease (AD) emphasize the need for alternative in silico drug repositioning strategies. Graph learning algorithms, capable of learning intrinsic features from complex network structures, can leverage existing databases of biological interactions to improve predictions in drug efficacy. We developed a novel machine learning framework, the PreSiBOGNN, that integrates muti-modal information to predict cognitive improvement at the subject level for precision medicine in AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Johns Hopkins University, Baltimore, MD, USA.
Background: Phenotyping Alzheimer's Disease (AD) can be crucial to providing personalized treatment. Several studies have analyzed the use of digital biomarkers to characterize a subject's behavior, usually obtained from a single modality, such as speech. However, combining several modalities in a single study has not been deeply studied.
View Article and Find Full Text PDFObjective: Cannabis has become more available in Canada since its legalization in 2018. Many individuals who use cannabis also use alcohol (co-use), which can be used either at the same time such that their effects overlap (simultaneous use) or at different times (concurrent use). Though studies have identified predictors of co-use relative to single-substance use, less is known about the predictors of specific types of co-use.
View Article and Find Full Text PDFNAR Genom Bioinform
March 2025
Department of Life Science and Medical Bioscience, Graduate School of Advanced Science and Engineering, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo 162-8480, Japan.
Recent advancements in viral metagenomics and single-virus genomics have improved our ability to obtain the draft genomes of environmental viruses. However, these methods can introduce virus sequence contaminations into viral genomes when short, fragmented partial sequences are present in the assembled contigs. These contaminations can lead to incorrect analyses; however, practical detection tools are lacking.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Institute of Optoelectronic Technology, Fuzhou University, Fuzhou 350116, China.
Anticounterfeiting technologies meet challenges in the Internet of Things era due to the rapidly growing volume of objects, their frequent connection with humans, and the accelerated advance of counterfeiting/cracking techniques. Here, we, inspired by biological fingerprints, present a simple anticounterfeiting system based on perovskite quantum dot (PQD) fingerprint physical unclonable function (FPUF) by cooperatively utilizing the spontaneous-phase separation of polymers and selective in situ synthesis PQDs as an entropy source. The FPUFs offer red, green, and blue full-color fingerprint identifiers and random three-dimensional (3D) morphology, which extends binary to multivalued encoding by tuning the perovskite and polymer components, enabling a high encoding capacity (about 10, far surpassing that of biometric fingerprints).
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