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Antiproliferative and anti-apoptotic effect of astaxanthin in an oxygen-induced retinopathy mouse model.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
OBJECTIVE: To evaluate the impact of intravitreal (IV) and intraperitoneal (IP) astaxanthin (AST) injections on neovascular development (ND), retinal morphology, and apoptotic activity in a C57BL/6J mouse model with hyperoxia-induced retinopathy (HIR...

Neuronal survival of DRG neurons after neurite transection in vitro promotes by nerve growth factor and brain derived neurotrophic factor.

Cellular and molecular biology (Noisy-le-Grand, France)
Neurotrophic factors are growth factors that promote neuronal survival, regulate synaptic function and neurotransmitter release, and promote the plasticity and growth of axons in the peripheral and central nervous systems. This study focused on the r...

CbpM and CbpG of Streptococcus Pneumoniae Elicit a High Protection in Mice Challenged with a Serotype 19F Pneumococcus.

Iranian journal of allergy, asthma, and immunology
Among many pneumococcal antigens, choline-binding proteins (CPBs) display a high immunogenicity in animal models. This study aims to determine the immunogenicity of CbpM, CbpG and CbpL proteins of Streptococcus pneumoniae in a mice model. The genes w...

[Preparation of monoclonal antibody against cystatin C and establishment of its immunoassay system].

Wei sheng yan jiu = Journal of hygiene research
OBJECTIVE: To prepare human cystatin C( CysC) recombinant protein and produce monoclonal antibodies with high affinity and specificity. Develop a competitive ELISA detection system to detect of CysC in human serum.

[In vitro Modulating Activity of aqueous extracts from American Plants on Chlorpyrifos-induced toxicity on Murine Splenocytes].

Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina)
BACKGROUND: Chlorpyrifos is an highly toxic pesticide, which can induce immunotoxicity with deleterious effects on health worldwide. On the other hand, American plants can provide derivatives with protective and immunostimulating activity. Thus, plan...

Assessing micrometastases as a target for nanoparticles using 3D microscopy and machine learning.

Proceedings of the National Academy of Sciences of the United States of America
Metastasis of solid tumors is a key determinant of cancer patient survival. Targeting micrometastases using nanoparticles could offer a way to stop metastatic tumor growth before it causes excessive patient morbidity. However, nanoparticle delivery t...

Machine-Learning Prediction of Tumor Antigen Immunogenicity in the Selection of Therapeutic Epitopes.

Cancer immunology research
Current tumor neoantigen calling algorithms primarily rely on epitope/major histocompatibility complex (MHC) binding affinity predictions to rank and select for potential epitope targets. These algorithms do not predict for epitope immunogenicity usi...

Three-dimensional convolutional neural networks for simultaneous dual-tracer PET imaging.

Physics in medicine and biology
Dual-tracer positron emission tomography (PET) is a promising technique to measure the distribution of two tracers in the body by a single scan, which can improve the clinical accuracy of disease diagnosis and can also serve as a research tool for sc...

A Deep Learning Approach to Antibiotic Discovery.

Cell
Due to the rapid emergence of antibiotic-resistant bacteria, there is a growing need to discover new antibiotics. To address this challenge, we trained a deep neural network capable of predicting molecules with antibacterial activity. We performed pr...

Machine Learning Uncovers Food- and Excipient-Drug Interactions.

Cell reports
Inactive ingredients and generally recognized as safe compounds are regarded by the US Food and Drug Administration (FDA) as benign for human consumption within specified dose ranges, but a growing body of research has revealed that many inactive ing...