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Jeong, M. H.

Publications and source records attributed to Jeong, M. H..

2 recordsLinked to original sources

Do drugs with biliary toxicity cause cholangiocarcinoma?

AO_SCPLOWBSTRACTC_SCPLOWMany commonly used therapeutic drugs cause biliary toxicity, but it is unclear if they are directly responsible for the increasing incidence of cholangiocarcinoma (CCA). We tested experimentally and analyzed through a cohort approach whether drugs, such as the commonly used antibiotic Augmentin, which is a poster-child of biliary toxicity, are causally linked to CCA development. Using sophisticated analytical tools in cholangiocytes, including single extracellular vesicle (EV) analysis, we found no evidence that Augmentin increases the cholangiocyte malignancy marker YAP1 or phospho-YAP1. Furthermore, we analyzed the CCA incidence in our healthcare system and determined it to be 0.0932% (Augmentin group) and 0.0799% (amoxicillin control group). Although the Augmentin group showed a numerically higher CCA incidence, the association did not reach statistical significance (RR = 1.1669, 95% CI 0.6200-2.1961; Fishers exact test, P = 0.7493). Similarly, we found no evidence for cholangiocarcinoma development with other commonly used drugs, including chlorpromazine, floxuridine, 5-fluorouracil, flucloxacillin and terbinafine. We conclude that there is no direct causal relationship between clinical Augmentin doses and CCA development.

cancer biology↗

Non-contact microfluidic analysis of the stiffness of single large extracellular vesicles from IDH1-mutated glioblastoma cells

In preparation for leveraging extracellular vesicles (EVs) for disease diagnostics and therapeutics, fundamental research is being done to understand EV biological, chemical, and physical properties. Most published studies investigate nanoscale EVs and focus on EV biochemical content. There is much less understanding of large microscale EV characteristics and EV mechanical properties. We recently introduced a non-contact microfluidic technique that measures the stiffness of large EVs (>1 m diameter). This study probes the sensitivity of the microfluidic technique to distinguish between EV populations by comparing stiffness distributions of large EVs derived from glioblastoma cell lines. EVs derived from cells expressing the IDH1 mutation, a common glioblastoma mutation known to disrupt lipid metabolism, were significantly stiffer than those expressed from wild-type cells. A supporting lipidomics analysis shows that the IDH1 mutation increases the amount of saturated lipids in EVs. Taken together, these data suggest that high-throughput microfluidics is capable of distinguishing between large EV populations that differ in biomolecular composition and therefore structure. These findings advance the understanding of EV biomechanics, in particular for the less studied microscale EVs, and demonstrate microfluidics to be a promising technique to perform clinical EV mechanophenotyping.

bioengineering↗