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Obesity and Insulin Resistance Are the Main Determinants of Postprandial Lipoprotein Dysmetabolism in Polycystic Ovary Syndrome.

International journal of endocrinology

Kyaw Tun T, McGowan A, Phelan N, Correia N, Boran G, O'Connor AL, Roche HM, Gibney J.
PMID: 26989412
Int J Endocrinol. 2016;2016:9545239. doi: 10.1155/2016/9545239. Epub 2016 Feb 18.

Postprandial dyslipidaemia may be a plausible mechanism by which polycystic ovary syndrome (PCOS) increases cardiovascular risk. We sought to investigate whether the postprandial glucose and insulin and lipid and lipoprotein responses, including that of apolipoprotein B-48 (apoB-48) containing chylomicrons,...

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Kyaw Tun T, McGowan A, Phelan N, et al. Obesity and Insulin Resistance Are the Main Determinants of Postprandial Lipoprotein Dysmetabolism in Polycystic Ovary Syndrome. Int J Endocrinol. 2016;2016:9545239doi: 10.1155/2016/9545239.
Kyaw Tun, T., McGowan, A., Phelan, N., Correia, N., Boran, G., O'Connor, A. L., Roche, H. M., & Gibney, J. (2016). Obesity and Insulin Resistance Are the Main Determinants of Postprandial Lipoprotein Dysmetabolism in Polycystic Ovary Syndrome. International journal of endocrinology, 20169545239. https://doi.org/10.1155/2016/9545239
Kyaw Tun, Tommy, et al. "Obesity and Insulin Resistance Are the Main Determinants of Postprandial Lipoprotein Dysmetabolism in Polycystic Ovary Syndrome." International journal of endocrinology vol. 2016 (2016): 9545239. doi: https://doi.org/10.1155/2016/9545239
Kyaw Tun T, McGowan A, Phelan N, Correia N, Boran G, O'Connor AL, Roche HM, Gibney J. Obesity and Insulin Resistance Are the Main Determinants of Postprandial Lipoprotein Dysmetabolism in Polycystic Ovary Syndrome. Int J Endocrinol. 2016;2016:9545239. doi: 10.1155/2016/9545239. Epub 2016 Feb 18. PMID: 26989412; PMCID: PMC4775795.
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Treatment of Myasthenia Gravis in Patients with Elderly Onset at Advanced Age.

Japanese clinical medicine

Nishikawa N, Nagai M, Tsujii T, Kyaw WT, Tanabe N, Iwaki H, Yabe H, Ando R, Nomoto M.
PMID: 26279637
Jpn Clin Med. 2015 Jul 23;6:9-13. doi: 10.4137/JCM.S29601. eCollection 2015.

The number of patients with late-onset myasthenia gravis (MG) among patients ≥50 years has been increasing recently. We encountered three patients who developed elderly-onset MG at a particularly advanced age (≥80 years). All were female and positive for anti-acetylcholine...

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Nishikawa N, Nagai M, Tsujii T, et al. Treatment of Myasthenia Gravis in Patients with Elderly Onset at Advanced Age. Jpn Clin Med. 2015;6:9-13doi: 10.4137/JCM.S29601.
Nishikawa, N., Nagai, M., Tsujii, T., Kyaw, W. T., Tanabe, N., Iwaki, H., Yabe, H., Ando, R., & Nomoto, M. (2015). Treatment of Myasthenia Gravis in Patients with Elderly Onset at Advanced Age. Japanese clinical medicine, 69-13. https://doi.org/10.4137/JCM.S29601
Nishikawa, Noriko, et al. "Treatment of Myasthenia Gravis in Patients with Elderly Onset at Advanced Age." Japanese clinical medicine vol. 6 (2015): 9-13. doi: https://doi.org/10.4137/JCM.S29601
Nishikawa N, Nagai M, Tsujii T, Kyaw WT, Tanabe N, Iwaki H, Yabe H, Ando R, Nomoto M. Treatment of Myasthenia Gravis in Patients with Elderly Onset at Advanced Age. Jpn Clin Med. 2015 Jul 23;6:9-13. doi: 10.4137/JCM.S29601. eCollection 2015. PMID: 26279637; PMCID: PMC4514170.
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Association between Sleep Disruption and Levels of Lipids in Caucasians with Type 2 Diabetes.

International journal of endocrinology

Wan Mahmood WA, Draman Yusoff MS, Behan LA, Di Perna A, Kyaw Tun T, McDermott J, Sreenan S.
PMID: 24072996
Int J Endocrinol. 2013;2013:341506. doi: 10.1155/2013/341506. Epub 2013 Aug 29.

Aim. To investigate the association between sleep quality and duration with lipid and glycaemic control in Caucasian subjects with type 2 diabetes. Methods. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) in 114 type 2 diabetes...

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Wan Mahmood WA, Draman Yusoff MS, Behan LA, et al. Association between Sleep Disruption and Levels of Lipids in Caucasians with Type 2 Diabetes. Int J Endocrinol. 2013;2013:341506doi: 10.1155/2013/341506.
Wan Mahmood, W. A., Draman Yusoff, M. S., Behan, L. A., Di Perna, A., Kyaw Tun, T., McDermott, J., & Sreenan, S. (2013). Association between Sleep Disruption and Levels of Lipids in Caucasians with Type 2 Diabetes. International journal of endocrinology, 2013341506. https://doi.org/10.1155/2013/341506
Wan Mahmood, Wan Aizad, et al. "Association between Sleep Disruption and Levels of Lipids in Caucasians with Type 2 Diabetes." International journal of endocrinology vol. 2013 (2013): 341506. doi: https://doi.org/10.1155/2013/341506
Wan Mahmood WA, Draman Yusoff MS, Behan LA, Di Perna A, Kyaw Tun T, McDermott J, Sreenan S. Association between Sleep Disruption and Levels of Lipids in Caucasians with Type 2 Diabetes. Int J Endocrinol. 2013;2013:341506. doi: 10.1155/2013/341506. Epub 2013 Aug 29. PMID: 24072996; PMCID: PMC3773446.
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Rich can get poor: conversion of hub to non-hub proteins.

Systems and synthetic biology

Tun K, Rao RK, Samavedham L, Tanaka H, Dhar PK.
PMID: 19399641
Syst Synth Biol. 2008 Dec;2(3):75-82. doi: 10.1007/s11693-009-9024-9. Epub 2009 Apr 28.

Hubs are ubiquitous network elements with high connectivity. One of the common observations about hub proteins is their preferential attachment leading to scale-free network topology. Here we examine the question: does rich protein always get richer, or can it...

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Tun K, Rao RK, Samavedham L, et al. Rich can get poor: conversion of hub to non-hub proteins. Syst Synth Biol. 2009;2(3):75-82doi: 10.1007/s11693-009-9024-9.
Tun, K., Rao, R. K., Samavedham, L., Tanaka, H., & Dhar, P. K. (2008). Rich can get poor: conversion of hub to non-hub proteins. Systems and synthetic biology, 2(3), 75-82. https://doi.org/10.1007/s11693-009-9024-9
Tun, Kyaw, et al. "Rich can get poor: conversion of hub to non-hub proteins." Systems and synthetic biology vol. 2,3 (2008): 75-82. doi: https://doi.org/10.1007/s11693-009-9024-9
Tun K, Rao RK, Samavedham L, Tanaka H, Dhar PK. Rich can get poor: conversion of hub to non-hub proteins. Syst Synth Biol. 2008 Dec;2(3):75-82. doi: 10.1007/s11693-009-9024-9. Epub 2009 Apr 28. PMID: 19399641; PMCID: PMC2735643.
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Synthesizing non-natural parts from natural genomic template.

Journal of biological engineering

Dhar PK, Thwin CS, Tun K, Tsumoto Y, Maurer-Stroh S, Eisenhaber F, Surana U.
PMID: 19187561
J Biol Eng. 2009 Feb 03;3:2. doi: 10.1186/1754-1611-3-2.

BACKGROUND: The current knowledge of genes and proteins comes from 'naturally designed' coding and non-coding regions. It would be interesting to move beyond natural boundaries and make user-defined parts. To explore this possibility we made six non-natural proteins in...

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Dhar PK, Thwin CS, Tun K, et al. Synthesizing non-natural parts from natural genomic template. J Biol Eng. 2009;3:2doi: 10.1186/1754-1611-3-2.
Dhar, P. K., Thwin, C. S., Tun, K., Tsumoto, Y., Maurer-Stroh, S., Eisenhaber, F., & Surana, U. (2009). Synthesizing non-natural parts from natural genomic template. Journal of biological engineering, 32. https://doi.org/10.1186/1754-1611-3-2
Dhar, Pawan K, et al. "Synthesizing non-natural parts from natural genomic template." Journal of biological engineering vol. 3 (2009): 2. doi: https://doi.org/10.1186/1754-1611-3-2
Dhar PK, Thwin CS, Tun K, Tsumoto Y, Maurer-Stroh S, Eisenhaber F, Surana U. Synthesizing non-natural parts from natural genomic template. J Biol Eng. 2009 Feb 03;3:2. doi: 10.1186/1754-1611-3-2. PMID: 19187561; PMCID: PMC2642765.
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Showing 1 to 5 of 5 entries