Nowadays, chemically defined cell culture media (CCM) have replaced serum- and hydrolysate-based media that rely on complex ingredients, such as yeast extracts or peptones. Benefits include a significantly lower lot-to-lot variability, more efficient manufacturing by reduction to essential components, and the ability to exclude components that may negatively influence growth, viability, or productivity. Even though current chemically defined CCMs provide an excellent basis for various mammalian biotechnological processes, vitamin instabilities are known to be a key factor contributing to the variabilities still present in liquid CCM as well as to short storage times. In this review, the chemical degradation pathways and products for the most relevant vitamins for CCM will be discussed, with a focus on the effects of light, oxygen, heat, and other CCM compounds. Different approaches to stabilize vitamins in solution, such as replacement with analogs, encapsulation, or the addition of stabilizing compounds will also be reviewed. While these vitamins and vitamin stabilization approaches are presented here as particular for CCM, the application of these concepts can also be considered relevant for pharmaceutical, medical, and food supplement purposes. More precise knowledge regarding vitamin instabilities will contribute to stabilize future formulations and thus decrease residual lot-to-lot variability.
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http://dx.doi.org/10.1002/bit.26942 | DOI Listing |
BioDrugs
January 2025
Orsay-Vallée Campus, Paris-Saclay University, Gif-sur-Yvette, France.
Liver cancer poses a global health challenge with limited therapeutic options. Notably, the limited success of current therapies in patients with primary liver cancers (PLCs) may be attributed to the high heterogeneity of both hepatocellular carcinoma (HCCs) and intrahepatic cholangiocarcinoma (iCCAs). This heterogeneity evolves over time as tumor-initiating stem cells, or cancer stem cells (CSCs), undergo (epi)genetic alterations or encounter microenvironmental changes within the tumor microenvironment.
View Article and Find Full Text PDFGeroscience
January 2025
Buck Institute for Research On Aging, Novato, CA, 94945, USA.
Cells are subjected to dynamic mechanical environments which impart forces and induce cellular responses. In age-related conditions like pulmonary fibrosis, there is both an increase in tissue stiffness and an accumulation of senescent cells. While senescent cells produce a senescence-associated secretory phenotype (SASP), the impact of physical stimuli on both cellular senescence and the SASP is not well understood.
View Article and Find Full Text PDFInflamm Res
January 2025
Department of Otolaryngology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
Background: Allergic rhinitis (AR) represents a persistent inflammatory condition affecting the upper respiratory tract, characterized by abnormal initiation of the immunoglobulin E (IgE)-mediated cascade. Follicular helper T (Tfh) cells and regulatory T (Tfr) cells are pivotal in orchestrating the development of IgE production in AR patients. IL-35, an anti-inflammatory cytokine, secreted by various cellular subpopulations.
View Article and Find Full Text PDFBioprocess Biosyst Eng
January 2025
Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Korea.
p-Coumaric acid (p-CA), an invaluable phytochemical, has novel bioactivities, including antiproliferative, anxiolytic, and neuroprotective effects, and is the main precursor of various flavonoids, such as caffeic acid, naringenin, and resveratrol. Herein, we report the engineering of Escherichia coli for de novo production of p-CA via the PAL-C4H pathway. As the base strain, we used the E.
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January 2025
Bioprocess Research and Development (BRD), WuXi Biologics, Shanghai, China.
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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