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23. Neuroprotective effects of carnosine-loaded elastic liposomes in cerebral ischemia rat model

Author

Zeb, Alam, Cha, Ji-Hye, Noh, Ah Reum, Qureshi, Omer Salman, Kim, Kyoung-Won, Choe, Yeong-Hwan, Shin, Donggeun, Shah, Fawad Ali, Majid, Arshad, Bae, Ok-Nam, and Kim, Jin-Ki

Abstract

Purpose: The present study aims to investigate the neuroprotective effects of carnosine-entrapped elastic liposomes (CAR-ELs) against cerebral ischemia. Methods: CAR-ELs were prepared by extrusion method using egg phosphatidylcholine (eggPC) as a phospholipid and Tween 80 (TW80) as an edge activator (eggPC:TW80?=?8:2, w/w). The prepared CAR-ELs were purified by centrifugal ultrafiltration followed by characterization for particle size, polydispersity index, zeta potential and entrapment efficiency. The elasticity of CAR-ELs, the most distinct feature of elastic liposomes, was determined using a stainless steel pressure filter and compared with that of conventional liposomes. In vivo neuroprotective effects of CAR-ELs were evaluated in cerebral ischemia induced by permanent middle cerebral artery occlusion (pMCAO) in rats. CAR-ELs (250 mg/kg of CAR) were intravenously administered 20 min before pMCAO and 6 h after pMCAO, respectively. The infarct volume in brain was measured by staining with 2,3,5-triphenyltetrazolium chloride after 24 h of cerebral ischemia. Results: CAR-ELs showed nanometric particle size near 100 nm and homogeneous distribution with polydispersity index below 0.1. The elasticity of CAR-ELs was 2-fold higher than that of conventional liposomes. The brain ischemia was successfully developed with pMCAO as indicated by highly infarcted hemisphere (~?50%) in saline-treated rats. The pre-treatment with CAR-ELs significantly reduced infarct volume (7.9%) compared with CAR solution (19.1%)- and saline (50.8%)-pretreated rats. CAR solution, however, showed better neuroprotective effects than CAR-ELs when administered 6 h after ischemia induction. Conclusion: The pre-treatment with CAR-ELs could be promising nanocarrier-based neuroprotective therapeutics against ischemic stroke.

Published
2024
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24. Self-Curable Synaptor With Tri-Node Charge- Trap FinFET for Semi-Supervised Learning

Author

Yu, Ji-Man, Ham, Gyeongdo, Kim, Seong-Yeon, Kim, Jin-Ki, Han, Joon-Kyu, Yun, Seong-Yun, Kim, Seonghak, Lee, Sang-Won, Jeon, Seung-Bae, Kim, Dae-Shik, and Choi, Yang-Kyu

Abstract

Semi-supervised learning (SSL) with pseudo-labeling is applied to the non-volatile computing-in-memory (nvCIM) architecture through weight updates of a synaptic transistor (synaptor). The synaptor is a tri-node FinFET enclosing a charge-trap layer. For on-chip training over extended periods, self-curing induced by electrothermal annealing (ETA) is utilized to raise the tunneling oxide temperature of the synaptor until it exceeds 500 °C. As a result, a classification accuracy of 86.4% is achieved by training only 1,000 labeled datasets with self-curing operations. This accuracy level is comparable to that of supervised learning (SL) with 10,000 labeled training datasets. Not only the MNIST but also the CIFAR-10 dataset was verified whether it yields similar results when using SSL.

Published
2024
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27. Supplementary Data from Circulating Small Extracellular Vesicles Activate TYRO3 to Drive Cancer Metastasis and Chemoresistance

Author

Park, Miso, primary, Kim, Ji Won, primary, Kim, Kyu Min, primary, Kang, Seungmin, primary, Kim, Wankyu, primary, Kim, Jin-Ki, primary, Cho, Youngnam, primary, Lee, Hyungjae, primary, Baek, Moon Chang, primary, Bae, Ju-Hyun, primary, Lee, Seung Hyun, primary, Jeong, Sung Baek, primary, Lim, Sung Chul, primary, Jun, Dae Won, primary, Cho, Sung Yun, primary, Kim, Yeonji, primary, Choi, Yong June, primary, and Kang, Keon Wook, primary

Published
2023
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28. Data from Circulating Small Extracellular Vesicles Activate TYRO3 to Drive Cancer Metastasis and Chemoresistance

Author

Park, Miso, primary, Kim, Ji Won, primary, Kim, Kyu Min, primary, Kang, Seungmin, primary, Kim, Wankyu, primary, Kim, Jin-Ki, primary, Cho, Youngnam, primary, Lee, Hyungjae, primary, Baek, Moon Chang, primary, Bae, Ju-Hyun, primary, Lee, Seung Hyun, primary, Jeong, Sung Baek, primary, Lim, Sung Chul, primary, Jun, Dae Won, primary, Cho, Sung Yun, primary, Kim, Yeonji, primary, Choi, Yong June, primary, and Kang, Keon Wook, primary

Published
2023
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