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Therapeutic Potential of Shilong Qingxue Granule and Its Extract Against Glutamate Induced Neural Injury: Insights from In Vivo and In Vitro Models.

J Ethnopharmacol

January 2025

Department of Pharmacology, Shenyang Pharmaceutical University, Shenyang, Liaoning, China; College of Pharmacy, Shenzhen Technology University, Shenzhen, Guangdong, China. Electronic address:

Ethnopharmacological Relevance: Shilong Qingxue Granule (SQG), a traditional Chinese medicine, effectively treats the secondary neurological damage and functional deficits caused by cerebral hemorrhage, though its exact mechanism remains unclear.

Aim Of The Study: This study aimed to investigate the effects of SQG and its mechanisms.

Materials And Methods: we evaluated the effects of SQG and its extracts on glutamate induced nerve damage using in vivo and in vitro models.

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An increasing number of cannabis-related products have become available and entered the market, particularly those containing cannabidiol (CBD) and Δ-tetrahydrocannabinol (Δ-THC). Analytical methods for cannabinoids in urine have been described extensively in the literature. However, methods providing good resolution for distinguishing interferences from THC positional isomers are needed.

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Various technical methodologies are required to accurately detect substances of different chemical and pharmacological properties in biological samples, which are increasing in number and variety daily. Therefore, laboratories where many samples and different factors are analyzed simultaneously need methods with easy sample preparation, short analysis times and low analysis costs. In this study, the objective was to scan substances susceptible to chemical degradation, amenable to analysis without hydrolysis, and exhibiting short-term stability by employing a straightforward, expeditious, and cost-efficient method.

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Platforms have long been implemented for downstream process development of monoclonal antibodies (mAbs) to streamline development and reduce timelines. These platforms are also increasingly being used for other complex biologics modalities. While development has traditionally been conducted at the lab bench scale in a sequential manner, automated miniaturized and parallelized approaches like RoboColumns and resin plates have also been implemented for chromatographic screening.

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In silico optimization of a challenging bispecific antibody chromatography step.

Biotechnol Prog

January 2025

Automation, Digital and Learning Solutions, Cytiva, Karlsruhe, Germany.

Mechanistic modeling of chromatographic steps is an effective tool in biopharma process development that enhances process understanding and accelerates optimization efforts and subsequent risk assessment. A relatively new model for ion exchange chromatography is the colloidal particle adsorption (CPA) formalism, which promises improved separation of material and molecule-specific parameters. This case study demonstrates a straightforward CPA modeling workflow to describe an ion exchange chromatography polishing step of a knobs-into-holes construct bispecific antibody molecule.

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