50 research outputs found

    Vapor-Phase Synthesis of Two-Dimensional Layered Gallium Chalcogenide Crystals

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    MasterThere has been rising interest in exploring two dimensional (2D) layered materials for future electronics and optics. Especially, atomically thin 2D materials exhibit new physical properties, compared with their bulk counterparts. Because of these features, 2D materials have the potentials to apply to next generation nanoelectronic devices. However there is a bottleneck for the application, which is a large size 2D material. There has been releasing a number of reports about large area 2D materialโ€™s growth, such as graphene, h-BN, TMDCs (MoS2, WSe2, NbSe2, TaS2, etc). However the research of 2D gallium chalcogenide is rarely reported and there is no report about growth of 2D gallium sulfide atomic layer. It is also 2D layered materials and its common formula is MX (M=Ga, X=S, Se, Te). In single layer, X-M-M-X are strongly bonded by covalent forces but each of layers are weakly bonded between neighbor layers by van der Waals forces. Recently, some groups prove that atomic layer Gallium chalcogenides have large band gap and exhibit fast response, high photoresponsivity, external quantum efficiency and good ON/OFF current ratio. So it is promising materials for application in high performance photodetectors, gas sensors and optoelectronic devices. For these applications, we synthesize large area gallium chalcogenide single layer films and various crystals, which have different thickness from few hundred nanometer to single layer, directly on SiO2/Si substrate using vapor phase synthesis. The gallium chalcogenides, synthesized from pure gallium and sulfur or selenium precursors, are characterized using raman spectroscopy and AFM depending on their thickness. From TEM, SEM analysis, we recognize the crystallinity, which shows the uniform single crystalline. Galliuim chalcogenide FET shows n-type semiconductor characteristic in GaS, p-type semiconductor characteristic in GaSe and similar electrical properties reported before. Our synthesis method can be used potentially for the synthesis of other 2D metal monochalcogenides and broaden the building blocks for the fabrication of 2D electronic and optoelectronic devices and provides the possibility of 2D gallium chalcogenide in applications

    ์ด์ƒ ์†Œ์„ค์— ๋‚˜ํƒ€๋‚œ '๋‹จ๋ฐœ'๊ณผ ์œ ํ˜น์ž๋กœ์„œ์˜ ์—ฌ์„ฑ

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    ์ตœ์ธํ›ˆ ์†Œ์„ค์˜ ์ด๋ฐ์˜ฌ๋กœ๊ธฐ๋น„ํŒ ๋‹ด๋ก  ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ตญ์–ด๊ตญ๋ฌธํ•™๊ณผ ๊ตญ๋ฌธํ•™์ „๊ณต,1998.Maste

    Effects of rosiglitazone on SHBG, PPAR-ฮณ gene, adiponectin & IL-6 in polycystic

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    ์˜๊ณผํ•™๊ณผ/๋ฐ•์‚ฌ[ํ•œ๊ธ€] ๋‹ค๋‚ญ์„ฑ๋‚œ์†Œ์ฆํ›„๊ตฐ(polycystic ovary syndrome; PCOS)์€ ๋งŒ์„ฑ์ ์ธ ๋ฌด๋ฐฐ๋ž€๊ณผ ๊ณ ์•ˆ๋“œ๋กœ๊ฒํ˜ˆ์ฆ์„ ํŠน์ง•์œผ๋กœ ํ•˜๋ฉฐ, ๊ฐ€์ž„๊ธฐ ์—ฌ์„ฑ์˜ 6-10%์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ฐ€์žฅ ํ”ํ•œ ์—ฌ์„ฑ ๋ถˆ์ž„์˜ ์›์ธ์ผ ๋ฟ ์•„๋‹ˆ๋ผ, ์ Š์€ ์—ฌ์„ฑ์—์„œ ๊ฐ€์žฅ ํ”ํ•œ ๋‚ด๋ถ„๋น„๊ณ„ ์งˆํ™˜์œผ๋กœ, PCOS ์—ฌ์„ฑ๋“ค์˜ 50-80%์—์„œ ๋น„๋งŒํ•˜๊ณ  ๋‹ค์–‘ํ•œ ์ •๋„์˜ ์ธ์Š๋ฆฐ ์ €ํ•ญ์„ฑ์„ ๋ณด์ด๋ฉฐ, ์ด๋Ÿฌํ•œ ์ธ์Š๋ฆฐ ์ €ํ•ญ์„ฑ์— ์˜ํ•ด ์ œ2ํ˜• ๋‹น๋‡จ๋ณ‘๊ณผ ์ž„์‹ ์„ฑ ๋‹น๋‡จ๋ณ‘, ๊ณ ํ˜ˆ์••, ์ด์ƒ์ง€์งˆํ˜ˆ์ฆ ๋ฐ ์ฃฝ์ƒ๊ฒฝํ™”์ฆ์˜ ์œ„ํ—˜์„ฑ์ด ์ฆ๊ฐ€ํ•œ๋‹ค. ์ƒ๋‹นํžˆ ๋ณตํ•ฉ์ ์ธ ๋ณ‘์ธ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ์งˆํ™˜์œผ๋กœ ์ธ์Š๋ฆฐ์ €ํ•ญ์„ฑ๊ณผ ์ด์— ๋”ฐ๋ฅธ ๊ณ ์ธ์Š๋ฆฐํ˜ˆ์ฆ๊ณผ ๊ณ ์•ˆ๋“œ๋กœ๊ฒํ˜ˆ์ฆ ์ค‘ ์–ด๋–ค ๊ฒฐํ•จ์ด ์ผ์ฐจ์  ์›์ธ์ธ์ง€ ํ™•์‹คํ•˜์ง€ ์•Š์œผ๋‚˜, ๋งŽ์€ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋“ค์—์„œ ์ธ์Š๋ฆฐ์ด ๋‹น ์ˆ˜์†ก๊ณผ๋Š” ๋ณ„๋„๋กœ ๋‚œ์†Œ์— ์กด์žฌํ•˜๋Š” ์ธ์Š๋ฆฐ ์ˆ˜์šฉ์ฒด๋ฅผ ํ†ตํ•˜์—ฌ ๋‚œ์†Œ์˜ ์•ˆ๋“œ๋กœ๊ฒ ์ƒ์‚ฐ์„ ์ž๊ทนํ•˜๊ณ  ๊ฐ„์—์„œ ์„ฑํ˜ธ๋ฅด๋ชฌ ๊ฒฐํ•ฉ๊ธ€๋กœ๋ถˆ๋ฆฐ(sex hormone binding globulin: SHBG)์„ ๊ฐ์†Œ์‹œ์ผœ ํ˜ˆ์ค‘ ์œ ๋ฆฌํ…Œ์Šคํ† ์Šคํ…Œ๋ก ์˜ ๋†๋„๋ฅผ ์ฆ๊ฐ€์‹œํ‚ค๋ฉด, ์ด๋ ‡๊ฒŒ ์ฆ๊ฐ€๋œ ์•ˆ๋“œ๋กœ๊ฒ์€ ๊ธฐ์งˆ๋กœ ์“ฐ์—ฌ ๋ถ€์ ์ ˆํ•˜๊ฒŒ ์กฐ๊ธฐ์— ๊ณ ์—์ŠคํŠธ๋กœ๊ฒ ํ™˜๊ฒฝ์„ ์กฐ์„ฑํ•˜๊ฒŒ ๋˜์–ด ๋‚œํฌ์˜ ๋ฐœ๋‹ฌ์„ ์–ต์ œํ•˜๊ณ , ๋ฏธ์„ฑ์ˆ™ ๋‚œํฌ์˜ ํ‡ดํ™”๋ฅผ ์œ ๋„ํ•˜๋Š” ๊ธฐ์ „์œผ๋กœ ์ •๋ฆฌ ํ•ด ๋ณผ ์ˆ˜ ์žˆ๊ฒ ๋‹ค. ์ด๋Ÿฌํ•œ ๋ณ‘์ธ์— ๊ธฐ์ดˆํ•˜์—ฌ, ๋‹ค๋‚ญ์„ฑ๋‚œ์†Œ์ฆํ›„๊ตฐ์˜ ์น˜๋ฃŒ๋Š” ์‹์‚ฌ์š”๋ฒ•๊ณผ ์ ๋‹น๋Ÿ‰์˜ ์šด๋™์„ ๋ณ‘ํ–‰ํ•œ ์ฒด์ค‘ ์กฐ์ ˆ๊ณผ ์ธ์Š๋ฆฐ์ €ํ•ญ์„ฑ์„ ํ˜ธ์ „์‹œํ‚ค๋Š” metformin์ด๋‚˜ thiazolidinedione ๊ณ„์—ด์˜ ์•ฝ์ œ๋ฅผ ๊ณ ๋ คํ•œ ๊ฐ์ข… ์ž„์ƒ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ์—์„œ ์ธ์Š๋ฆฐ ์ €ํ•ญ์„ฑ์˜ ๊ฐœ์„ ๊ณผ ์„ฑํ˜ธ๋ฅด๋ชฌ์˜ ๋ณ€ํ™”์™€ ์›”๊ฒฝ์ด์ƒ์˜ ๊ฐœ์„ ์„ ๊ด€์ฐฐํ•  ์ˆ˜ ์žˆ์—ˆ์œผ๋‚˜, ๊ทธ ์ƒํ˜ธ ๊ด€๋ จ์„ฑ์˜ ์‹ค์ฒด๋‚˜ ๊ธฐ์ „์— ๊ด€ํ•œ ๋ถ„์ž์ƒ๋ฌผํ•™์ ์ธ ์—ฐ๊ตฌ๋Š” ๋งค์šฐ ์ ์€ ์‹ค์ •์ด๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ฐ€์ž„๊ธฐ์˜ ๋‹ค๋‚ญ์„ฑ๋‚œ์†Œ์ฆํ›„๊ตฐ ํ™˜์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ rosiglitazone์„ 6๊ฐœ์›”๊ฐ„ ํˆฌ์—ฌํ•˜๋ฉด์„œ ์‹ ์ฒด ๊ณ„์ธก์น˜, ์ด์ง€๋ฐฉ๋Ÿ‰, ์ธ์Š๋ฆฐ ์ €ํ•ญ์„ฑ์„ ๋‚˜ํƒ€๋‚ด๋Š” ์ง€ํ‘œ๋“ค๊ณผ adipocytokine์˜ ํ˜ˆ์ค‘ ๊ทธ๋ฆฌ๊ณ  ์ง€๋ฐฉ์กฐ์ง์—์„œ์˜ ๋ฐœํ˜„ ์ •๋„๋ฅผ ์ธก์ •ํ•˜์—ฌ ์ธ์Š๋ฆฐ ์ €ํ•ญ์„ฑ์˜ ๊ฐœ์„  ์ •๋„์— ๋”ฐ๋ผ ๋ฐฐ๋ž€ ์–‘์ƒ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์ž์ƒ๋ฌผํ•™์  ๊ธฐ์ „์˜ ๋ฉด์—์„œ ์•Œ์•„๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ์—ฐ์„ธ๋Œ€ํ•™๊ต ์˜๊ณผ๋Œ€ํ•™ ์˜๋™์„ธ๋ธŒ๋ž€์Šค๋ณ‘์› ์‚ฐ๋ถ€์ธ๊ณผ ์™ธ๋ž˜์— ๋‚ด์›ํ•˜์—ฌ ๋‹ค๋‚ญ์„ฑ๋‚œ์†Œ์ฆํ›„๊ตฐ์œผ๋กœ ์ง„๋‹จ๋œ 20์„ธ์—์„œ 35์„ธ ์‚ฌ์ด์˜ ๊ฐ€์ž„๊ธฐ ์—ฌ์„ฑ 30๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์—ฌ ๋‚ด๋ถ„๋น„๋‚ด๊ณผ ์™ธ๋ž˜์—์„œ ํ•˜๋ฃจ 4mg์˜ rosiglitazone์„ 6๊ฐœ์›”๊ฐ„ ํˆฌ์—ฌ ๋ฐ›์•˜๋‹ค. ๋ชจ๋“  ๋Œ€์ƒ ํ™˜์ž๋Š” ์ธ์œ„์ ์ธ ์ฒด์ค‘ ๊ฐ์†Œ ์‹์ด ๋˜๋Š” ์šด๋™ ํ”„๋กœ๊ทธ๋žจ์„ ์‹œํ–‰ํ•˜์ง€ ์•Š์•˜๋‹ค. 1๊ฐœ์›” ๊ฐ„๊ฒฉ์œผ๋กœ ์™ธ๋ž˜ ๋ฐฉ๋ฌธ ํ•  ๋•Œ๋งˆ๋‹ค ํ™˜์ž์˜ ์‹ ์žฅ, ์ฒด์ค‘, ํ—ˆ๋ฆฌ ๋‘˜๋ ˆ ๋ฐ ์ตœ์ข… ์›”๊ฒฝ์ผ์„ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ, ์น˜๋ฃŒ ์ „๊ณผ 3๊ฐœ์›” 6๊ฐœ์›” ํ›„์— 10์‹œ๊ฐ„ ์ด์ƒ ๊ธˆ์‹ํ•œ ์ƒํƒœ์—์„œ ์ฑ„ํ˜ˆ๊ณผ ํ”ผํ•˜์ง€๋ฐฉ์กฐ์ง ์ƒ๊ฒ€(mini- subcutaneous liposuction method)์„ ์‹œํ–‰ ๋ฐ›์•˜๋‹ค. adiponectin๊ณผ leptin์€ ๋ฐฉ์‚ฌ๋ฉด์—ญ์ธก์ •๋ฒ•(radioimmunoassay, RIA)์œผ๋กœ TNF-ฮฑ์™€ IL-6๋Š” ํšจ์†Œ ์ด์šฉ๋ฉด์—ญ์ธก์ •๋ฒ•(enzyme-linked immunosorbent assay, ELISA)์œผ๋กœ ์ธก์ •ํ•˜์˜€์œผ๋ฉฐ, ์ง€๋ฐฉ์กฐ์ง์˜ PPAR-ฮณ, adiponectin, TNF-ฮฑ, leptin์˜ ๋ฐœํ˜„ ์ •๋„๋Š” Northern blot analysis๋ฅผ ์ด์šฉํ•˜์—ฌ ์ธก์ •ํ•˜์˜€๋‹ค. SPSS ํ”„๋กœ๊ทธ๋žจ(SPSS/11.0)์„ ์ด์šฉํ•˜์—ฌ, Students paired & unpaired t-test, ANOVA test, Pearson linear correlation ๋ฐ multiple regression analysis๋ฅผ ํ†ตํ•ด ๋ถ„์„ํ•˜์˜€๋‹ค. ๋Œ€์ƒ ์—ฌ์„ฑ 30๋ช… ์ค‘์—์„œ 20๋ช…์ด 6๊ฐœ์›”๊ฐ„์˜ ์•ฝ๋ฌผ ๋ณต์šฉ ๋ฐ ๊ฒ€์‚ฌ๋ฅผ ์ดํ–‰ํ•˜์˜€์œผ๋ฉฐ, ์ดˆ๋ฐ˜ 3๊ฐœ์›” ์ค‘์— 5๋ช…, ํ›„๋ฐ˜ 3๊ฐœ์›” ์ค‘์— 5๋ช…์ด ๋ถˆ์ˆœ์‘์œผ๋กœ ์ธํ•˜์—ฌ ๋งˆ์น˜์ง€ ๋ชปํ•˜์˜€๋‹ค. rosiglitazone 6๊ฐœ์›” ์น˜๋ฃŒ ํ›„์— ์ฒด์ค‘(1.0kg, 2.1%), BMI (0.7kg/m2, 2.2%), ์ฒด์ง€๋ฐฉ๋Ÿ‰(0.5kg, 5.1%) ๋ฐ ํ—ˆ๋ฆฌ๋‘˜๋ ˆ๋Š” ์ฆ๊ฐ€ํ•˜์˜€์œผ๋ฉฐ, ํ˜ˆ์žฅ ์ธ์Š๋ฆฐ, HOMA-IR score ๋ฐ ์œ ๋ฆฌ์ง€๋ฐฉ์‚ฐ์€ ์น˜๋ฃŒ 3๊ฐœ์›” ํ›„์— ์˜๋ฏธ์žˆ๊ฒŒ ๊ฐ์†Œํ•˜์˜€๋‹ค(๊ฐ๊ฐ 7.4 vs. 5.5uU/mL, p<0.05, 1.6 vs. 1.2, p<0.05, 595.38 vs. 394.58 meq/L, p<0.05). ๋˜ํ•œ, ์น˜๋ฃŒ 3๊ฐœ์›” ํ›„์— ํ˜ˆ์žฅ adiponectin(6.7 vs. 15.1ug/mL, p<0.01)๊ณผ ์ง€๋ฐฉ์กฐ์ง์˜ PPAR-ฮณ gene(0.4 vs. 0.7, p<0.05)์˜ ๋ฐœํ˜„์ด ์˜๋ฏธ์žˆ๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. rosiglitazone ์น˜๋ฃŒ ํ‰๊ท  2.6๊ฐœ์›”(77.4์ผ) ํ›„์— 21๋ช…(70%)์˜ ํ™˜์ž์—์„œ ์›”๊ฒฝ ํšŒ๋ณต์„ ๊ด€์ฐฐํ•  ์ˆ˜ ์žˆ์—ˆ์œผ๋ฉฐ, ์น˜๋ฃŒ 3๊ฐœ์›” ํ›„์— ํ˜ˆ์ฒญ ์„ฑํ˜ธ๋ฅด๋ชฌ ๊ฒฐํ•ฉ๊ธ€๋กœ๋ถˆ๋ฆฐ(36.4 vs. 42.4nmol/L, p<0.01)์˜ ์ฆ๊ฐ€์™€ 6๊ฐœ์›” ํ›„์— ์œ ๋ฆฌํ…Œ์Šคํ† ์Šคํ…Œ๋ก (2.2 vs. 1.7pg/mL, p<0.05)์˜ ๊ฐ์†Œ๊ฐ€ ํ†ต๊ณ„ํ•™์  ์˜์˜๋ฅผ ๋ณด์˜€๋‹ค. rosiglitazone 6๊ฐœ์›” ํˆฌ์—ฌ ํ›„ HOMA-IR score๊ฐ€ 50% ์ด์ƒ ๊ฐ์†Œํ•œ ๊ตฐ(IS)๊ณผ 50% ๋ฏธ๋งŒ ๊ฐ์†Œํ•œ ๊ตฐ(IR)์œผ๋กœ ๊ตฌ๋ถ„ํ•˜์—ฌ IS๊ตฐ ๋ชจ๋‘(100%)์—์„œ ์›”๊ฒฝ์„ ํšŒ๋ณตํ•˜์˜€์œผ๋ฉฐ, IR๊ตฐ์—์„œ๋Š” 53%๋งŒ์ด ์›”๊ฒฝ ํšŒ๋ณต ์†Œ๊ฒฌ์„ ๋ณด์˜€๊ณ , rosiglitazone 3๊ฐœ์›” ํˆฌ์—ฌ ํ›„ HOMA-IR์˜ ๊ฐ์†Œ์™€ SHBG์˜ ์ฆ๊ฐ€๋กœ ์˜๋ฏธ์žˆ๋Š” ์ธ์Š๋ฆฐ ์ €ํ•ญ์„ฑ ๊ฐœ์„  ์ดํ›„์— 6๊ฐœ์›” ์งธ ์œ ๋ฆฌํ…Œ์Šคํ† ์Šคํ…Œ๋ก ์ด ์˜๋ฏธ์žˆ๋Š” ๊ฐ์†Œ ์†Œ๊ฒฌ์„ ๋ณด์—ฌ ๊ณ ์•ˆ๋“œ๋กœ๊ฒํ˜ˆ์ฆ๋ณด๋‹ค๋Š” ์ธ์Š๋ฆฐ ์ €ํ•ญ์„ฑ์ด ๋‹ค๋‚ญ์„ฑ๋‚œ์†Œ์ฆํ›„๊ตฐ์˜ ์ผ์ฐจ์ ์ธ ๋ณ‘์ธ์ž„์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. 6๊ฐœ์›”๊ฐ„์˜ ์ธ์Š๋ฆฐ ์ €ํ•ญ์„ฑ ๊ฐœ์„  ์ •๋„์— ๋”ฐ๋ผ ๋‘ ๊ตฐ(IS๊ตฐ: IR๊ตฐ)์œผ๋กœ ๋ถ„๋ฅ˜ํ•œ ๊ฒฐ๊ณผ, ฮ” HOMA-IR score(-63.57, 38.99%, p<0.05), ฮ” SHBG(72.73, 11.88%, p<0.01), ฮ” free T(-63.79, 9.90%, p<0.01)์—์„œ ์˜๋ฏธ ์žˆ๋Š” ์ฐจ์ด๋ฅผ ๋ณด์˜€๋‹ค. ํ•œํŽธ, IR๊ตฐ์„ ์›”๊ฒฝ ํšŒ๋ณต ์—ฌ๋ถ€์— ๋”ฐ๋ผ ์„ธ๋ถ„ํ•˜์—ฌ 6๊ฐœ์›”๊ฐ„์˜ ๋ณ€ํ™”๋Ÿ‰์„ ๊ด€์ฐฐํ•œ ๊ฒฐ๊ณผ ๋ฌด์›”๊ฒฝ๊ตฐ์—์„œ ์˜คํžˆ๋ ค ฮ”HOMA- IR์˜ ๊ฐœ์„ ๊ณผ ฮ”PPAR-ฮณ gene์˜ ๋ฐœํ˜„ ๊ฐ์†Œ ๋ฐ ฮ”SHBG์˜ ๊ฐ์†Œ ์†Œ๊ฒฌ์„ ๋ณด์ด๊ณ  ์žˆ์–ด ์˜ˆ์ƒ๊ณผ ๋‹ค๋ฅธ HOMA-IR score์— ๋Œ€ํ•ด์„œ ๋ณด๋‹ค๋Š” SHBG ๋ณ€ํ™”๋Ÿ‰์— ๋Œ€ํ•œ ๋‹ค๋ณ€๋Ÿ‰ํšŒ๊ท€๋ถ„์„์„ ์‹œํ–‰ํ•˜์—ฌ, ์ง€๋ฐฉ ์กฐ์ง ฮ” PPAR-ฮณ gene ๋ฐœํ˜„์˜ ๋ณ€ํ™”(ฮฒ1=0.31,p<0.05)์™€ ์–‘์˜ ์ƒ๊ด€๊ด€๊ณ„, ํ˜ˆ์žฅ ฮ”adiponectn ๋ณ€ํ™”(ฮฒ2=0.30, p<0.05)์™€ ์–‘์˜ ์ƒ๊ด€๊ด€๊ณ„ ๋ฐ ํ˜ˆ์žฅ ฮ” leptin์˜ ๋ณ€ํ™”(ฮฒ3= -0.50, p<0.01)์™€๋Š” ์Œ์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ตฌํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ธ์Š๋ฆฐ ์ €ํ•ญ์„ฑ ๊ฐœ์„  ์ •๋„์— ๋”ฐ๋ฅธ ๋‘ ๊ตฐ(IS๊ตฐ: IR๊ตฐ) ๊ฐ„์— adipocytokines์˜ ๋ณ€ํ™”๋Ÿ‰์€ ์˜๋ฏธ์žˆ๋Š” ์ฐจ์ด๋ฅผ ๋ณด์ด์ง€ ์•Š์•„, ๊ฐ ์ธ์ž์˜ ๋ณ€ํ™”๋Ÿ‰ ๊ฐ„์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ด€์ฐฐํ•˜์˜€์„ ๋•Œ, adiponectin์€ 6๊ฐœ์›”๊ฐ„์˜ rosiglitazoneํˆฌ์—ฌ ํ›„์— ๊ทธ ๋†๋„๊ฐ€ ์˜๋ฏธ์žˆ๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€์œผ๋ฉฐ, ์น˜๋ฃŒ ์ „ ๋†๋„๋Š” ์ฒด์ง€๋ฐฉ๋Ÿ‰, ํ—ˆ๋ฆฌ๋‘˜๋ ˆ ๋ฐ HOMA-IR score์™€ ์Œ์˜ ์ƒ๊ด€๊ด€๊ณ„, SHBG์™€ ์–‘์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์ด๋‹ค๊ฐ€, rosiglitazone ํˆฌ์—ฌ ์ดํ›„์—๋Š” ๊ทธ ๊ด€๊ณ„๊ฐ€ ์—ญ์ „๋˜์–ด 6๊ฐœ์›” ๋ณ€ํ™”๋Ÿ‰์€ ์ฒด์ง€๋ฐฉ๋Ÿ‰ ๋ณ€ํ™” %์™€ ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜ ๋ณ€ํ™” %์™€ ์–‘์˜ ์ƒ๊ด€๊ด€๊ณ„, ์œ ๋ฆฌ ์ง€๋ฐฉ์‚ฐ ๋ณ€ํ™” %์™€ ์Œ์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์˜€์œผ๋ฉฐ, ์˜คํžˆ๋ ค IR๊ตฐ์—์„œ ๋†’์€ ๊ฒฝํ–ฅ์„ ๋ณด์ด๊ณ  ์žˆ์–ด, ๋‹ค๋‚ญ์„ฑ๋‚œ์†Œ์ฆํ›„๊ตฐ ํ™˜์ž์—์„œ adiponectin์˜ ์กฐ์ ˆ์€ ์ธ์Š๋ฆฐ์ €ํ•ญ์„ฑ ์ž์ฒด์— ์˜ํ•ด์„œ ๊ฒฐ์ •๋˜์ง€ ์•Š์„ ์ˆ˜๋„ ์žˆ์Œ์„ ์œ ์ถ”ํ•˜๊ณ  ๋ณด์ƒ์ ์ธ ๋ฐ˜์‘์˜ ๋งฅ๋ฝ์—์„œ ์ดํ•ดํ•  ์ˆ˜๋„ ์žˆ๊ฒ ๋‹ค. IL-6๋Š” 6๊ฐœ์›”์˜ rosiglitazone ์น˜๋ฃŒ ํ›„์— ๊ทธ ๋†๋„๊ฐ€ ๊ฐ์†Œํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์—ฌ์ฃผ์—ˆ์œผ๋ฉฐ, ์น˜๋ฃŒ ์ „ ๋†๋„๋Š” ๋‹ค๋ฅธ ์ธ์ž์™€์˜ ์˜๋ฏธ์žˆ๋Š” ๊ด€๊ณ„๋ฅผ ๋ณด์ด์ง€ ์•Š๋‹ค๊ฐ€ rosiglitazone ํˆฌ์—ฌ ํ›„ 6๊ฐœ์›” ๋ณ€ํ™”๋Ÿ‰์€ ์˜คํžˆ๋ ค HOMA-IR ๋ณ€ํ™”๋Ÿ‰๊ณผ ์œ ๋ฆฌ ์ง€๋ฐฉ์‚ฐ ๋ณ€ํ™”๋Ÿ‰๊ณผ ์˜๋ฏธ์žˆ๋Š” ์Œ์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋Š”๋ฐ, IL- 6์˜ ๊ฐ์†Œ๋Š” ์ „๋ฐ˜์ ์œผ๋กœ๋Š” ์ธ์Š๋ฆฐ ์ €ํ•ญ์„ฑ์˜ ๊ฐœ์„ ์— ๊ธฐ์—ฌํ•˜๋ฉด์„œ ์ง€๋ฐฉ๋ถ„ํ•ด๋ฅผ ์œ ๋ฐœํ•˜์—ฌ ์œ ๋ฆฌ์ง€๋ฐฉ์‚ฐ์˜ ์—๋„ˆ์ง€ ์ด์šฉ์„ ์ด‰์ง„ํ•˜๋Š” ์–‘๋ฉด์„ฑ์ด ์žˆ์–ด์„œ ์œ ๋ฆฌ์ง€๋ฐฉ์‚ฐ์˜ ๊ฐ์†Œ์— ๋”ฐ๋ผ IL-6๊ฐ€ ์ฆ๊ฐ€ํ•˜๋ฉฐ ์ฆ๊ฐ€๋œ IL-6๋Š” ๋‚œํฌ์˜ ๋ฉด์—ญ ๋ฐ˜์‘์„ ์œ ๋ฐœ ํ•˜๋Š”๋ฐ, ์ผ๋ถ€๋ถ„ ๊ธฐ์—ฌ ํ•  ์ˆ˜๋„ ์žˆ์Œ์„ ์œ ์ถ”ํ•  ์ˆ˜ ์žˆ๊ฒ ๋‹ค. ์น˜๋ฃŒ ์ „ ์ž„์ƒ์  ํŠน์„ฑ์„ ์‚ดํŽด๋ณด์•˜์„ ๋•Œ ์ธ์Š๋ฆฐ ์ €ํ•ญ์„ฑ์ด ํฌ๊ฒŒ ๊ฐœ์„ ๋˜์ง€ ์•Š์€ IR๊ตฐ์—์„œ ์˜คํžˆ๋ ค ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜(26.62, 22.62kg/m2, p<0.05), ์ฒด์ง€๋ฐฉ๋Ÿ‰, ํ—ˆ๋ฆฌ ๋‘˜๋ ˆ, HOMA-IR score(2.69, 1.20, p<0.05) ๋ฐ ํ˜ˆ์ฒญ leptin ๋†๋„๊ฐ€ ์˜๋ฏธ์žˆ๊ฒŒ ๋‚ฎ์•˜์œผ๋ฉฐ, ํ˜ˆ์ฒญ adiponectin(4.83, 7.31ug/mL, p<0.05)์€ ์ฆ๊ฐ€๋˜์–ด ์žˆ์–ด ์™ธ๊ตญ์˜ ๋ณด๊ณ ์™€ ๋‹ฌ๋ฆฌ ์šฐ๋ฆฌ๋‚˜๋ผ์—์„œ๋Š” ๋น„๋งŒํ•˜์ง€ ์•Š์€ ๋‹ค๋‚ญ์„ฑ๋‚œ์†Œ์ฆํ›„๊ตฐ ํ™˜์ž์—์„œ ์•ฝ๋ฌผ์— ๋Œ€ํ•œ ๋ฐ˜์‘์ด ๋–จ์–ด์กŒ์œผ๋ฉฐ, IR๊ตฐ์—์„œ ์›”๊ฒฝ ํšŒ๋ณต ์—ฌ๋ถ€์— ๋”ฐ๋ผ ์„ธ๋ถ„ํ•˜์—ฌ ์›”๊ฒฝ์ด ํšŒ๋ณต๋˜์ง€ ์•Š์€ ๊ตฐ์—์„œ ์น˜๋ฃŒ ์ „ ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜๊ฐ€ ์—ญ์‹œ ๋‚ฎ์€ ๊ฒฝํ–ฅ์„ ๋ณด์˜€์œผ๋ฉฐ, PPAR-ฮณ gene ๋ฐœํ˜„์ด ๋†’์€ ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. Rosiglitazone์„ ์ค‘๋“ฑ๋„ ๋น„๋งŒ์ธ์—๊ฒŒ ์ตœ์†Œํ•œ 3๊ฐœ์›” ํˆฌ์—ฌํ•˜๋ฉด์„œ HOMA-IR score์˜ ํ‰๊ท  10% ์ด์ƒ ๊ฐ์†Œ ์†Œ๊ฒฌ๊ณผ SHBG์˜ ํ‰๊ท  40% ์ด์ƒ ์ฆ๊ฐ€ ์†Œ๊ฒฌ์ด ์›”๊ฒฝ ํšŒ๋ณต์„ ์˜ˆ์ธกํ•˜๋Š” ์ธ์ž๋กœ ์ด์šฉํ•  ์ˆ˜ ์žˆ์Œ์„ ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•˜์—ฌ ์ œ์‹œํ•  ์ˆ˜ ์žˆ์œผ๋‚˜, ์ข€ ๋” ๋Œ€๊ทœ๋ชจ์˜ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๊ฒ ์œผ๋ฉฐ, ๋น„๋งŒํ•˜์ง€ ์•Š์€ ๋‹ค๋‚ญ์„ฑ๋‚œ์†Œ์ฆํ›„๊ตฐ ํ™˜์ž์˜ ๋ณ‘์ธ์— ๋Œ€ํ•ด์„œ๋„ ์ข€ ๋” ๋‹ค๊ฐ์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๊ฒ ๋‹ค. [์˜๋ฌธ]Characterized by chronic anovulation and hyperandrogenism, Polycystic Ovary Syndrome(PCOS) is a common endocrine disorder, affecting 6% to 10% of women of reproductive age. At least 50% of women with PCOS are obese. Insulin resistance and compensatory hyperinsulinemia are intrinsic features of the disorder. PCOS is also associated with an increased risk for type 2DM, hypertension, dyslipidemia and cardiovascular disease. The etiology of PCO is complex and incompletely understood. Accumulating data conclude that hyperinsulinemia and hyperandrogenemia are hormonal abnormalities, which disturb ovarian function. Contrary to the classical target tissues (muscles, liver, adipose tissues) of insulin action that have become resistant to insulin, the ovaries remain responsive to insulin throughout the interaction of its own receptor. So, excess insulin is capable of stimulating steroidgenesis and excessive androgen from the theca cell system. Reduction of hepatic sex hormone binding globulin (SHBG) production by insulin and the increase of unbound fraction of testosterone constitutes an important additional mechanism. This excess of androgens substrate leads to prematurely hyperestrogenic milieu in the developing follicle. It brings about inappropriate advancement of granulosa cell differentiation causing arrest of the follicle growth. Reduction of hyperinsulinemia appears of to be the key factor for the treatment of PCO. So, the use of insulin sensitizing drug seems reasonable. However, the study on the molecular pathogenesis between insulin resistance and ovulatory performance is few, the present study was thus undertaken to evaluate the effects of rosiglitazone on adipocytokines, PPAR-ฮณ gene expression, SHBG and hyperandrogenism in polycystic ovary syndrome to the degree of impro vement of insulin resistance. Thirty women between ages of 20 and 35 yr, diagnosed PCOS, were recruited from the outpatient clinics of the Yonsei University Hospital, Korea. Each subject took a 4mg tablet rosiglitazone daily for 6 months. Subjects were put on a weight-maintaining diet and were allowed ad libitum activity without new exercise program. Body weight, height, waist circumference, menstrual pattern and side-effects were measured at each monthly out-patient visit. Blood sampling and abdominal subcutaneous adipose tissue biopsy through percutaneous mini-liposuction method were taken every 3 month. The expressions of PPAR-ฮณ gene and adipocytokines of adipose tissue were measured by Northern blot analysis. The SPSS package was used for statistical analyses. Twenty subjects completed the protocol. Ten subjects (5 during early 3 months & 5 during later 3 months) declined to participate because they didn''t comply with the test procedures. The mean weight(1.0kg, 2.1%), BMI(0.7kg/m2, 2.2%), total body fat(0.5kg, 5.1%) and waist circumference of subjects, who were treated with 6 months-rosiglitazone, tended to increase comparing the values at baseline. During 3 month treatment, there were a significant decrease in insulin, HOMA score(1.6 vs. 1.3, p50% reduction to baseline group(IS, n=5) and HOMA <50% reduction to baseline group(IR, n=15) during 6months. Regular menstration was resumed in 5 subjects(100%) of IS group and 8 subjects(53%) in IR group. There were the significant decrease of free testosterone at 6 month and significant changes of HOMA and SHBG from 3 month. This showed insulin resistance was a primary role in this study rather than hyperandrogenemia. By unpaired t-test, % changes of parameters between 6 month and basal level were compared in 2 groups(IS: IR). There were significant differences in ฮ” HOMA IR(-63.57, 38.99%, p<0.05), ฮ” SHBG(72.73, 11.88%, p<0.01) and ฮ” free T(-63.79, 9.90%, p<0.01). Furthermore classifying IR group into IR-MR(menstraion resumed) and IR-MNR(menstraion not resumed), ฮ”HOMA-IR score, ฮ”PPAR gene expression and ฮ”SHBG decreased more in IR-MNR group. ฮ”HOMA-IR decrease means improvement of insulin resistance. The number of available samples is not enough to prove the effect of ฮ”PPAR gene expression. Thus ฮ”SHBG was a meaningful marker of insulin resistance and ovulatory performance in IR group. SHBG was negatively correlated with BMI, total body fat % and waist circumference and positively correlated with adiponectin. By multiple regression analysis, the following equation were extracted. ฮ”SHBG= -22.34+0.31 ฮ”PPAR-ฮณ geneยฑ0.30 ฮ”adiponectin+(-0.50) ฮ”leptin / (r=1.00, ฮฒ1=0.31, p< 0.05, ฮฒ2=0.30, p<0.05, ฮฒ3= -0.50, p<0.01). There were no significant differences in adipocytokines(adipnectin, IL-6, TNF-ฮฑ, leptin) between IS and IR group. So correlations in changes between 6 month and basal concentration of parameters were observed. There was a significant increase in adiponectin after 6months rosiglitazone treatment. Basal adiponectin concentration was negatively correlated with total body fat, waist circumference and HOMA-IR score and positively correlated with SHBG. Inversely,ฮ”adiponectin concentration during rosiglitazone treatment was positively correlated with ฮ”total body fat and ฮ”BMI and negatively correlated with ฮ”free fatty acid. Rather, ฮ”adiponectin concentration tended to be higher in IR group. In the control of adiponectin levels in PCOS women, insulin sensitivity per se is unlikely to play a pivotal role. The levels of adiponectin might be the expression of a counter-regulatory or compensatory response. There was a decreasing tendency in IL-6 after 6M rosiglitazone treatment. Rather, ฮ”IL-6 concentration was negatively correlated with ฮ”HOMA-IR and ฮ”free fatty acid. IL-6 appears to increase energy expenditure at both the level of the CNS and periphery and are involved in follicular development as proinflammatory cytokines. As free fatty acid decreases, IL-6 increases. So the increase of ฮ”IL-6 might be involved in immune reaction of follicular development. To determine which factors are predictive of response to treatment, basal characteristics between IS:IR group were compared. Patients in IR group were less obese(BMI: 26.6, 22.6kg/m2, total body fat %: 35.6, 30.7%, leptin: 13.3, 5.8ng/mL, p<0.05) and had higher adiponectin levels(4.83, 7.31ug/mL, p<0.05) than IS group. Further study will be needed in the pathophysiology of non obese PCO patients. In summary, rosiglitazone therapy resulted in improvements in insulin sen- sitivity and ovulation in PCOS women. These changes occurred with minimal weight gain. The changes of adipose tissue PPAR-ฮณ gene expression, plasma adiponectin, free fatty acid, IL-6, SHBG, and free testosterone may be the metabolic mediator of these results. A more complete understanding of the pathophysiology of PCOS will await direct studies of the effects of exogenous adiponectin and IL-6 on the reproductive axis of women, including those of PCOS.ope

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    DoctorConducting polymers have been studied extensively in the past few decades due to various advantages such as high electrical conductivity, optical transparency, chemical stability, flexibility, and low cost. Recently, research to improve the electrical properties of conducting polymers for high performance in electronic devices are intensively conducted. Various studies have been reported to improve the conductivity of conducting polymers by controlling various factors such as the type of dopant, doping level, and conjugate length in the synthesis of conducting polymers. More recently, improving conductivity through the formation of nanostructure of conducting polymers has been attracted great attention. In order to synthesize conducting polymer nanostructures, various methods using hard templates and soft templates as well as conventional chemical oxidation polymerization have been reported. In particular, among them, the two-dimensional nanostructure has become important because it is advantageous for high-density integration of next-generation electronic devices to exhibit improved electron transport properties. Nevertheless, the synthesis of conducting polymers having two-dimensional nanostructure with high electrical conductivity have mainly based on methods using graphene oxide as templates. However, this approach showed difficulty in removing the template after synthesis, which made hard to obtain pure conducting polymer. It was also difficult to obtain reliable electrical properties over a large area due to the non-uniform distribution of functional groups of graphene oxide. To overcome this limitation, I synthesized conducting polymers using the ice surface as a template, where the ice template is easily removed in the next step. Consequently, pure two-dimensional conducting polymer nanosheets with high conductivity were obtained. In this dissertation, the role of crystallinity of the ice surface on the ice-templated conducting polymers are investigated, and new strategies for utilizing the ice-templated conducting polymers as the electrocatalyst, the virus filtration membrane are proposed. Chapter 1 provides an overall overview of ice-assisted chemistry for synthesizing functional materials using ice, and introduces current research trends on conducting polymers prior to introducing ice-templated conducting polymers. Research on conducting polymer-metal composites and porous conducting polymers are also included. Furthermore, research motivation and objectives of this dissertation are presented to develop the current research based on ice-assisted chemistry. Chapter 2 covers the study of the nanostructure and electrical properties of the ice-templated conducting polymers, and the study of a role of the crystallinity of the ice surface. Although the recently established ice-templated synthetic method of two-dimensional conducting polymers is evaluated as an environmentally friendly and easy-fabrication technology, the role of the crystallinity of the underlying ice surface remains unclear in determining the physicochemical and electrical properties of conducting polymers. In this study, crystallinity of ice is systematically controlled, and the electrical properties of conducting polymer nanosheets grown on the ice surface and the packing structure of conducting polymer crystals are studied in depth. Intriguingly, the crystallinity of the conducting polymer nanosheets resembled that of the ice surface, and it was confirmed that the higher the crystallinity of ice, the more predominantly anisotropic growth of the conducting polymer nanosheets in the face-on orientation. In addition, it was turned out that highly crystalline conducting polymer nanosheets led to more efficient charge transport due to improved degree of backbone ordering due to the pre-organized aniline moieties on the ice surface and strong polaron delocalization with the extended chain conformations. These results suggest that controlling the crystallinity of ice is simple but effective to control the electrical properties of conducting polymers. Chapter 3 describes the study of conducting polymer-platinum (Pt) nanoparticle composites based on ice-templated conducting polymers. Pt nanoparticles are well known as the most effective electrocatalysts for various electrochemical reactions. However, for commercially available Pt catalyst supported on carbon such as Pt/C catalyst, a high reaction temperature is generally required. And the particle agglomeration cannot be prevented, so that the catalytic activity decreases rapidly over time. Besides, carbon nanostructures such as graphene are even expensive. Thus, in this study, a new approach for the synthesis of uniform, high areal density Pt nanocrystals supported by ice-templated conducting polymers is presented. The key strategy is the use of ice-templated conducting polymers at the air-water interface as a platform to promote the nucleation of platinum. Highly crystalline Pt nanoparticles with a narrow size distribution of about 2.7 nm and a high electrochemically active surface area of 94.57 m2 g-1 were obtained. It showed good durability and excellent carbon monoxide tolerance. This approach suggests potential applications for the production of various other electrocatalysts with enhanced catalytic activity. Chapter 4 covers the study of the synthesis of two-dimensional porous conducting polymer nanosheets synthesized on the ice surface. In this study, the directional freezing is performed to the microplastics-containing solution and subsequently ice-templated synthesis is conducted on this microplastics-containing ice. This process leads to easy removal of microplastics in aqueous solution by detaching the synthesized conducting polymer nanosheets from the ice. The removal efficiency of microplastics was over 97 %. More importantly, while microplastics are being removed, porous two-dimensional conducting polymer nanosheets are synthesized with a solvent treatment process for removing the microplastics from the detached conducting polymer nanosheets. Intriguingly, the size of the pores could be easily tuned depending on the size of the microplastics. Then, porous conducting polymer nanosheets with 100 nm pores were utilized as the virus filtration membranes for coronavirus (SARS-CoV-2). As a result, high rejection rate up to 96.3 % was achieved. This approach is important in that it can remove microplastics in aqueous solution and simultaneously make porous conducting polymers with various pore sizes, which suggests a potential for variety of applications. Chapter 5 provides conclusions and perspectives based on these studies. Through these studies, the role of ice in ice-templated synthesis was investigated in more depth. 2D nanostructure of the ice-templated conducting polymers could be realized owing to the confinement provided by the quasi-liquid layer (QLL) on the ice surface. It was confirmed that the electrical properties and packing structure of the conducting polymers are greatly affected by the crystallinity of ice surface. Moreover, new advanced nanomaterials with high functionality and improved electrochemical properties were synthesized by utilizing ice-assisted chemistry, which showed high potential for application in various fields. Nevertheless, studies on the utilization of QLL on the ice surface are still lacking, which is ascribed to the difficulty in accurate identification and precise control of QLL. Thus, further studies are required to understand and utilize QLL on the ice surface, which may include the in-situ transmission electron microscopy and ultrafast X-ray scattering experiments. Such future studies will contribute to developing new advanced materials and expanding the scope of the ice-templated synthesis to various applications

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