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Biomedical subjects

Do Yup Lee

Publications and source records attributed to Do Yup Lee.

4 recordsLinked to original sources

Integrated functional, metabolomic, and biotransformation profiling of mycotoxin hepatotoxicity in 2D and 3D human hepatic models.

Mycotoxins pose a major risk to food safety and human health, yet their hepatotoxic mechanisms remain incompletely characterized due to limitations in conventional in vitro models. In this study, we systematically compared mycotoxin-induced hepatotoxicity and metabolomic profiling across two human hepatic models cultured under 2D monolayer and 3D spheroid conditions. The various mycotoxins (Aflatoxin B1, Citrinin, Deoxynivalenol, Ochratoxin A, Patulin, and Zearalenone) exhibit distinct metabolic signatures, thereby serving as an appropriate panel for comprehensively evaluating diverse hepatotoxic mechanisms. Mycotoxin exposure induced concentration-dependent hepatotoxicity accompanied by functional impairment and structural disruption in hepatic models. Metabolomic profiling revealed distinctive regulatory patterns between 2D and 3D hepatic models, with 3D spheroids showing consistent down-regulation across multiple intracellular metabolic pathways and altered extracellular metabolite release, whereas 2D monolayers predominantly exhibited global metabolic activation. In silico-assisted MS/MS analysis further demonstrated that Phase I biotransformation was largely conserved across models, whereas Phase II conjugation reactions were more frequently detected and exhibited greater model specificity in 3D spheroids. Overall, these findings indicate that 3D hepatic spheroids capture more integrated and coordinated hepatotoxic and metabolic responses to mycotoxins compared with 2D monolayer systems. These distinctive regulatory dynamics support their value as a physiologically relevant platform for toxicity assessment and mechanistic investigation.

3D hepatic spheroids

Metabolomics-based authentication of acacia honey against C3 and C4 sugar adulteration.

Acacia (Robinia pseudoacacia) honey is frequently adulterated with low-cost alternatives via direct syrup addition or in-hive sugar feeding. We focused on sugar-feeding adulterants, which is difficult to distinguish from nectar-based honey. Stable carbon isotope ratio analysis (SCIRA) is an established method for assessing honey authentication; however, its applicability is limited to detecting C4 plant-derived sugar adulteration. Therefore, we developed a metabolomics-based multi-marker strategy to discriminate acacia honey from beet-sugar (C3)- and cane-sugar (C4)-fed honey. Thirteen metabolites were prioritized using combined multivariate and univariate criteria. Subsequently, 1716 panels of seven-marker (13C7) were evaluated for discrimination performance. 291 panels achieved 100% accuracy in an independent validation set. In blending scenarios, acacia honeys spiked with 20% beet-sugar-fed honey and 20% cane-sugar-fed honey were successfully identified, outperforming SCIRA (60%) and beet-sugar marker 3-methoxytyramine (3-MT) (30%). These findings establish metabolomic panels as a robust marker for acacia honey authentication, extending beyond current reference methods.

Acacia

A three-dimensional mouse liver organoid platform for assessing EDCs metabolites simulating liver metabolism.

Hepatic metabolism is an important process for evaluate the potential activity and toxicity of endocrine disrupting chemicals (EDCs) metabolites. Organization for Economic Co-operation and Development (OECD) has advocated the development of in vitro assays that mimic in vivo hepatic metabolism to eventually replace classical animal tests. In response to this need, we established a 3D mouse liver organoid (mLO) platform that mimics the animal model and is distinct from existing models. We evaluated the effects the activity of EDC metabolites generated through mLOs based on human cell-based reporter gene assays in addition to existing models. This study emphasizes the importance of hepatic ex-vivo and suggests the need a new metabolic model through a 3D mLOs platform. These results indicate that mLOs provides a novel biological method to screen for potential endocrine-disrupting activities of EDC metabolites.

Animals