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24 results on '"Aung, Min"'

2. Coinfection and circulation of chikungunya virus and dengue virus in pediatric patients in Myanmar, 2019

Author

Ngwe Tun, Mya Myat, primary, Kyaw, Aung Kyaw, additional, Nabeshima, Takeshi, additional, Dumre, Shyam Prakash, additional, Soe, Aung Min, additional, Nwe, Khine Mya, additional, Myaing, Su Su, additional, Lwin, Ei Phyu, additional, Win, Ye Thu, additional, Inoue, Shingo, additional, Takamatsu, Yuki, additional, Urano, Takeshi, additional, Thu, Hlaing Myat, additional, Thant, Kyaw Zin, additional, Htun, Zaw Than, additional, and Morita, Kouichi, additional

Published
2023
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12. Unusual, neurological and severe dengue manifestations during the outbreak in Sri Lanka, 2017

Author

Ngwe Tun, Mya Myat, primary, Muthugala, Rohitha, additional, Nabeshima, Takeshi, additional, Rajamanthri, Lakmali, additional, Jayawardana, Dulani, additional, Attanayake, Shanthi, additional, Soe, Aung Min, additional, Dumre, Shyam Prakash, additional, Ando, Tsuyoshi, additional, Hayasaka, Daisuke, additional, Inoue, Shingo, additional, Buerano, Corazon C., additional, and Morita, Kouichi, additional

Published
2020
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13. The nitroxide 4-methoxy TEMPO inhibits neutrophil-stimulated kinase activation in H9c2 cardiomyocytes

Author

Gloria Jeong, Joanne M. Dennis, Paul K. Witting, Hyun Bo Kim, Martin Simone, Adrina F. Varda, Benjamin S. Rayner, XiaoSuo Wang, Belal Chami, Aung Min Maw, and Genevieve Fong

Subjects
0301 basic medicine, MAPK/ERK pathway, Hypochlorous acid, Neutrophils, Biophysics, Apoptosis, Protein tyrosine phosphatase, 030204 cardiovascular system & hematology, Biochemistry, Cell Line, Cyclic N-Oxides, Ventricular Myosins, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Animals, Humans, Myocyte, Myocytes, Cardiac, Phosphorylation, Tyrosine, Molecular Biology, Peroxidase, Dose-Response Relationship, Drug, biology, Chemistry, Kinase, Transferrin, Molecular biology, Phosphoric Monoester Hydrolases, Rats, Enzyme Activation, Oxidative Stress, Protein Transport, 030104 developmental biology, Gene Expression Regulation, Organ Specificity, Myeloperoxidase, biology.protein, Protein Kinases
Abstract

After acute myocardial infarction (AMI), neutrophils are recruited to the affected myocardium. Hypochlorous acid (HOCl) produced by neutrophil myeloperoxidase (MPO) damages cardiomyocytes and potentially expands the primary infarct. Rat cardiomyocyte-like cells were incubated with isolated human neutrophils treated with chemical activators in the absence or presence of nitroxide 4-methoxy-Tempo (MetT; 25 μM) for 4, 6 or 24 h; studies with reagent HOCl served as positive control. Treating cardiomyocytes with activated neutrophils or reagent HOCl resulted in a marked increase in protein tyrosine chlorination and a decline in protein tyrosine phosphatase (PTP) activity. On balance our data also supported an increase in phosphorylation of MAPK p38 and ERK1/2 suggestive of an intracellular hyperphosphorylation status and this was accompanied by decreases in cell viability, as judged by assessing caspases-3/7 activity. For cells exposed to activated neutrophils receptor-mediated uptake of transferrin decreased although total matrix metalloproteinase (MMP) activity was unaffected. Addition of MetT ameliorated protein tyrosine chlorination, decreased MAPK activity and restored receptor-mediated transferrin uptake and PTP activity in cardiomyocytes. Overall, adverse effects of neutrophil-derived HOCl on cultured cardiomyocytes were ameliorated by MetT suggesting that nitroxides may be beneficial to inflammatory pathologies, where neutrophil recruitment/activation is a prominent and early feature.

Published
2017

18. ADAPTIVE NOISE CANCELLATION USING DYNAMIC FUZZY NEURAL NETWORKS ALGORITHM

Author

Aung Min Sia and Meng Joo Er

Subjects
Noise, Fuzzy neural, Salient, Computer science, Structure (category theory), Least squares, Algorithm, Active noise control
Abstract

In this paper, Adaptive Noise Cancellation using Dynamic Fuzzy Neural Networks (D-FNN) algorithm is attempted. The D-FNN algorithm is a hierarchical online self-learning algorithm based on Extended Radial Basis Function Neural Networks. The salient features of the algorithm are: (1) It provides an efficient learning method; (2) The weights are modified by the Recursive Least Square method; (3) No iteration is needed. Simulation studies and comparisons with other algorithms show that the D-FNN algorithm is superior in terms of simplicity of structure, learning efficiency and performance in canceling noise adaptively.

Published
2002

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