Publications by authors named "Q i-Wei Zhang"

This study aimed to investigate the role of transforming growth factor-beta 3 (TGF-β3) secreted by adipose-derived stem cells (ADSCs) in suppressing melanin synthesis during the wound healing process, particularly in burn injuries, and to explore the underlying mechanisms involving the cAMP/PKA signaling pathway. ADSCs were isolated from C57BL/6 mice and characterized using flow cytometry and differentiation assays. A burn injury model was established in mice, followed by UVB irradiation to induce hyperpigmentation.

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Background: The standard first-line treatment for human epidermal growth factor receptor 2 (HER2)-positive recurrent/metastatic breast cancer currently includes pertuzumab plus trastuzumab and docetaxel. This study aimed to evaluate the effectiveness of KN026, an anti-HER2 bispecific antibody, plus docetaxel in first-line treatment of HER2-positive recurrent/metastatic breast cancer.

Methods: This open-label, single-arm, phase II study enrolled patients with HER2-positive recurrent/metastatic breast cancer in 19 centers across China from December 30, 2019 to May 27, 2021.

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Comparisons of maximum drug concentration (C) and total area under the concentration vs. time curve (AUC) may be inadequate for bioavailability (BA)/bioequivalence (BE) assessments in cases where the shape of the pharmacokinetic (PK) profile of a drug impacts the clinical performance. In such cases, partial area under the concentration vs.

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Serving as a dedicated process analytical technology (PAT) tool for biomass monitoring and control, the capacitance probe, or dielectric spectroscopy, is showing great potential in robust pharmaceutical manufacturing, especially with the growing interest in integrated continuous bioprocessing. Despite its potential, challenges still exist in terms of its accuracy and applicability, particularly when it is used to monitor cells during stationary and decline phases. In this study, data pre-processing methods were first evaluated through cross-validation, where the first-order derivative emerged as the most effective method to diminish variability in prediction accuracy across different training datasets.

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Background: eHealth literacy (eHL) is positively associated with health-related behaviors and outcomes. Previous eHL studies primarily collected data from online users and seldom focused on the general population in low- and middle-income countries (LMIC). Additionally, knowledge about factors that affect eHL is limited.

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