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    ํ”Œ๋ผํ‹ฐ์ฝ”๋”˜ D์™€ ํšจ์†Œ์— ์˜ํ•ด ์ „ํ™˜๋œ ํ”Œ๋ผํ‹ฐ์ฝ”๋”˜ D ๊ฐ•ํ™”๋ถ„ํš๋ฌผ์˜ ์ง€๋ฐฉ์ถ•์ฒ™ ์–ต์ œํšจ๊ณผ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์•ฝํ•™๋Œ€ํ•™ ์•ฝํ•™๊ณผ, 2019. 2. ๊น€์˜์‹.๊ธธ๊ฒฝ (Platycodon grandiflorum A. DC)์˜ ์œ ํšจ์„ฑ๋ถ„์ด์ž ์ง€ํ‘œ์„ฑ๋ถ„์ธ ํ”Œ๋ผํ‹ฐ์ฝ”๋”˜ D๋Š” ๊ธฐ์กด์— ํ•ญ์•”, ํ•ญ์‚ฐํ™”, ํ•ญ์—ผ์ฆ ๋“ฑ์˜ ํšจ๋Šฅ์ด ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋ณด๊ณ ๊ฐ€ ๋˜๊ณ  ์žˆ๋‹ค. ์ตœ๊ทผ, ํ”Œ๋ผ๋””์ฝ”๋”˜ D๋Š” ๋™๋ฌผ๋ชจ๋ธ์—์„œ ์ง€์งˆ๋Œ€์‚ฌ ๊ด€๋ จ ๊ฐœ์„ ๋Šฅ๊ณผ ํ•ญ๋น„๋งŒ ์ƒ๋ฆฌํ™œ์„ฑ์ด ํƒ์›”ํ•œ ๊ฒƒ์œผ๋กœ ๋งŽ์€ ๋ณด๊ณ ๊ฐ€ ์žˆ์—ˆ์Œ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ์•„์ง๊นŒ์ง€ ์„ธํฌ์ˆ˜์ค€์—์„œ ์–ด๋– ํ•œ ๊ธฐ์ „์œผ๋กœ ํ•ญ๋น„๋งŒ ํšจ๊ณผ๊ฐ€ ์žˆ๋Š”์ง€ ๋ช…ํ™•ํ•œ ๊ฒฐ๊ณผ๋Š” ์—†๊ณ , ์„ธํฌ์ˆ˜์ค€์˜ ๊ฒฐ๊ณผ๊ฐ€ ๋™๋ฌผ์‹คํ—˜ ์ƒ์—์„œ ๋™์ผํ•˜๊ฒŒ ์žฌํ˜„๋˜์ง€ ์•Š์€ ๋‹จ์ ์ด ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ง€๋ฐฉํ•ฉ์„ฑ์— ๊ด€์—ฌํ•˜๋Š” peroxisome proliferator-activated receptor ฮณ2 (PPARฮณ2)์™€ ์ง€๋ฐฉ์„ธํฌ๋ถ„ํ™”์— ๊ด€์—ฌํ•˜๋Š” mitogen activated protein kinase (MAPKs), ์ง€๋ฐฉ์‚ฐํ™”์— ์ค‘์ถ”์  ์—ญํ• ์„ ํ•˜๋Š” AMP-activated protein kinaseฮฑ(AMPKฮฑ)์˜ ํ™œ์„ฑ์„ ์ธก์ •ํ•˜์—ฌ, ์ง€๋ฐฉ์„ธํฌ์—์„œ ํ”Œ๋ผ๋””์ฝ”๋”˜ D์˜ ์ง€๋ฐฉ์ถ•์ฒ™์–ต์ œ ํšจ๊ณผ๋ฅผ ํ™•์ธํ•˜๊ณ  ์ง€๋ฐฉ์œ ๋„๋™๋ฌผ ๋ชจ๋ธ์—์„œ ์ง€๋ฐฉ ์–ต์ œ ํšจ๊ณผ๋ฅผ ๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ํ”Œ๋ผ๋””์ฝ”๋”˜ D๊ฐ€ ํƒ์›”ํ•œ ์•ฝ๋ฆฌํ•™์  ๊ฐ€์น˜๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ๊ธด ํ•˜์ง€๋งŒ, ๋„๋ผ์ง€ ๊ฑด์กฐ ์ค‘๋Ÿ‰์˜ ๋ฏธ๋Ÿ‰์œผ๋กœ ํฌํ•จ ๋˜์–ด ์žˆ๊ณ , ๊ธฐ์กด์˜ ์ฒœ์—ฐ๋ฌผ๋ถ„๋ฆฌ ๋ฐฉ๋ฒ•์œผ๋กœ๋Š” ์‹œ๊ฐ„์ด ์˜ค๋ž˜ ๊ฑธ๋ฆฌ๊ณ , ์ˆ˜์œจ์ด ๋‚ฎ์€ ๋‹จ์ ์ด ์žˆ์–ด์„œ ํ”Œ๋ผ๋””์ฝ”๋”˜ D๋ฅผ ์ƒ์—…์ ์„ ์ด์šฉํ•˜๋Š”๋ฐ ๋งŽ์€ ์–ด๋ ค์›€์ด ์žˆ์—ˆ๋‹ค. ๋ณธ ์‹คํ—˜์‹ค์—์„œ๋Š” ๊ธธ๊ฒฝ์‚ฌํฌ๋‹Œ ์ค‘์— ํ”Œ๋ผ๋””์ฝ”๋”˜ D์™€ ๋น„์Šทํ•œ ํ™”ํ•™ ๊ตฌ์กฐ๋ฅผ ๊ฐ€์ง„ ํ”Œ๋ผ๋””์ฝ”๋”˜ D์œ ๋„์ฒด๋“ค์„ ํšจ์†Œ์ฒ˜๋ฆฌ๋ฅผ ํ•˜์—ฌ ๋‹จ์‹œ๊ฐ„ ๋‚ด์— ํ”Œ๋ผ๋””์ฝ”๋”˜ D๋กœ ์ „ํ™˜, ํ”Œ๋ผ๋””์ฝ”๋”˜ D์˜ ํ•จ๋Ÿ‰์„ ๋†’์ธ ๊ฐ•ํ™”๋ถ„ํš์กฐ์„ฑ๋ฌผ์„ ๋งŒ๋“  ๋ฐ” ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ธฐ์กด์— ๋ถ„๋ฆฌ๊ฐ€ ์‰ฝ์ง€๊ฐ€ ์•Š๋˜ ํ”Œ๋ผ๋””์ฝ”๋”˜ D๋ฅผ ๋Œ€์ฒดํ•˜์—ฌ ๋ถ„๋ฆฌ๊ฐ€ ํšจ์œจ์ ์ด๋ฉฐ ์ƒ์—…์  ์œผ๋กœ ์ด์šฉ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ๋Š” ํ”Œ๋ผํ‹ฐ์ฝ”๋”˜ D ๊ฐ•ํ™”๋ถ„ํš๋ฌผ (PScell)์˜ ์ง€๋ฐฉ์ถ•์ฒ™ ์–ต์ œํšจ๊ณผ ๋ฅผ ํ™•์ธํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ถ„ํ™”๋œ ์ง€๋ฐฉ์„ธํฌ์— ํ”Œ๋ผ๋””์ฝ”๋”˜ D 5 ฮผM์„ ์ฒ˜๋ฆฌํ•˜์˜€์„ ๊ฒฝ์šฐ ์ง€๋ฐฉํ•ฉ์„ฑ ๋งˆ์ปค์ธ PPARฮณ2์™€ C/EBPฮฑ๊ฐ€ ๋šœ๋ ธํ•˜๊ฒŒ ์–ต์ œ๋˜์—ˆ๊ณ , ๋น„๋งŒ์ „์‚ฌ์ธ์ž (adipogenic transcription factor)์ธ AP2, FAS๋ฐœํ˜„์ด ๊ฐ์†Œ๊ฐ€ ๋จ์œผ๋กœ์จ ๋ถ„ํ™”๋œ ์ง€๋ฐฉ์„ธํฌ ๋‚ด์— ์ง€๋ฐฉํ•จ๋Ÿ‰์ด ์•ฝ 62.5% ์ •๋„ ์–ต์ œ๋จ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ๋˜ํ•œ, ์ง€๋ฐฉ์„ธํฌ ์ดˆ๊ธฐ๋ถ„ํ™”์— ๊ด€์—ฌํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ง„ ์œ ์‚ฌ๋ถ„์—ด ํ™œ์„ฑํ™” ๋‹จ๋ฐฑ์งˆ ์ธ์‚ฐํ™”ํšจ์†Œ (MAPKkinase)๋Š” ํ”Œ๋ผ๋””์ฝ”๋”˜ D ์ฒ˜๋ฆฌํ•œ ๊ทธ๋ฃน์—์„œ 3 ์‹œ๊ฐ„๋ถ€ํ„ฐ 24 ์‹œ๊ฐ„๊นŒ์ง€ p-ERK๋ฅผ ๊พธ์ค€ํžˆ ์–ต์ œ ๋˜์—ˆ๋‹ค. AMPK activator๋กœ ์ž˜ ์•Œ๋ ค์ง„ aminoimidazole carboxamide ribonucleo- tide (AICAR)์™€ ๋น„๊ต์‹คํ—˜์—์„œ ํ”Œ๋ผ๋””์ฝ”๋”˜ D 5 ฮผMํˆฌ์—ฌ๋Š” AICAR 1 mM ํˆฌ์—ฌ ๋ณด๋‹ค PPARฮณ2์™€ C/EBPฮฑ์˜ ๋ฐœํ˜„์„ ํ˜„์ €ํ•˜๊ฒŒ ์–ต์ œ๋˜์—ˆ๊ณ , p-AMPK์™€ p-ACC ๋ฐœํ˜„์€ ์œ ์˜์„ฑ ์žˆ๊ฒŒ ์ฆ๊ฐ€๋˜์—ˆ์ง€๋งŒ AICAR๋ณด๋‹ค๋Š” ์•ฝํ•จ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ์œ„ ์„ธํฌ์‹คํ—˜์˜ ๊ฒฐ๊ณผ๋ฅผ ํ† ๋Œ€๋กœ, ๋ณธ ์‹คํ—˜์ž๋Š” 8์ฃผ ๋™์•ˆ ๊ณ ์ง€๋ฐฉ ์‹์ด๋กœ ์„ญ์ทจํ•œ C57BL/6 ๋งˆ์šฐ์Šค์—์„œ ํ”Œ๋ผ๋””์ฝ”๋”˜ D์˜ ํ•ญ๋น„๋งŒํšจ๊ณผ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ํ”Œ๋ผ๋””์ฝ”๋”˜ D ํˆฌ์—ฌ๊ทธ๋ฃน์€ ๊ณ ์ง€๋ฐฉ์‹์ด๊ทธ๋ฃน๋ณด๋‹ค ๊ฒฝ๊ตฌํˆฌ์—ฌ 10์ผ ์ดํ›„ ๋ถ€ํ„ฐ ์ฒด์ค‘์ด ์œ ์˜์„ฑ ์žˆ๊ฒŒ ๊ฐ์†Œ๋˜์—ˆ๊ณ , ์‹คํ—˜ ์ข…๋ฃŒ ํ›„ ๊ณ ์ง€๋ฐฉ์‹์ด๊ทธ๋ฃน๋ณด๋‹ค ์•ฝ 16 g์ •๋„ ๊ฐ์†Œ๋œ ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ์„ญ์ทจ๋Ÿ‰์€ ํˆฌ์—ฌ ์ดˆ๊ธฐ 4์ฃผ ๋™์•ˆ ์œ ์˜์„ฑ ์žˆ๊ฒŒ ๊ฐ์†Œ๋˜์—ˆ์œผ๋‚˜ ์ดํ›„ 4์ฃผ ํˆฌ์—ฌ์—์„œ๋Š” ๋ณต์›๋จ์œผ๋กœ์จ ๋‹ค๋ฅธ ๊ทธ๋ฃน๊ฐ„ ์„ญ์ทจ๋Ÿ‰์— ์ฐจ์ด๊ฐ€ ์—†์—ˆ๋‹ค. ํ”Œ๋ผํ‹ฐ์ฝ”๋”˜ D ํˆฌ์—ฌ ๊ทธ๋ฃน์—์„œ ๋‹จ์œ„ ๋ฉด์ ๋‹น ์ง€๋ฐฉ์˜ ๋ถ€ํ”ผ์™€ ์ง€๋ฐฉ์„ธํฌ ํฌ๊ธฐ๊ฐ€ ์ค„์–ด๋“ค์—ˆ๊ณ , ํ˜ˆ์•ก๋‚ด์˜ ์ง€์งˆ๋Œ€์‚ฌ ๊ฐœ์„  ํšจ๊ณผ๊ฐ€ ํ˜„์ €ํžˆ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋น„๋งŒ๋™๋ฌผ๋ชจ๋ธ ์ง€๋ฐฉ์กฐ์ง์—์„œ ์ง€๋ฐฉํ˜•์„ฑ (lipogenesis)์˜ ํ‘œ์  ๋‹จ๋ฐฑ์งˆ์ธ PPARฮณ2์™€ C/EBPฮฑ์˜ ๋ฐœํ˜„์ •๋„๊ฐ€ ์–ต์ œ๋˜์—ˆ๊ณ  AMPK ๋ฐ ACC์˜ ๋ฐœํ˜„์ด ์ฆ๊ฐ€๋˜์—ˆ์œผ๋ฉฐ, ๊ฐ„์กฐ์ง ๋˜ํ•œ ์ง€๋ฐฉ๊ฐ„์˜ ํ•ต์‹ฌ ๋งˆ์ปค์ธ sterol-regulatory element binding proteins 1 (SREBP-1)๋ฐœํ˜„์ด ๊ฐ์†Œ๋˜์—ˆ๋‹ค. ๋’ค์ด์–ด, ํšจ์†Œ์ „ํ™˜์— ์˜ํ•ด ํ”Œ๋ผ๋””์ฝ”๋”˜ D๊ฐ€ ๊ฐ•ํ™”๋œ ๋ถ„ํš๋ฌผ (PScell)์˜ ์ง€๋ฐฉ์ถ•์ฒ™ํšจ๊ณผ๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ํ”Œ๋ผํ‹ฐ์ฝ”๋”˜ D ๊ฐ•ํ™”๋ถ„ํš๋ฌผ์„ ์ง€๋ฐฉ์„ธํฌ๋ถ„ํ™” ์œ ๋„๋ฌผ์งˆ๊ณผ ํ•จ๊ป˜ ๋†๋„๋ณ„ (5, 7.5, 10 ใŽ/ใŽ–)๋กœ ์ฒ˜๋ฆฌํ•œ ๊ฒฐ๊ณผ, ๋ถ„ํ™”๋œ ์ง€๋ฐฉ์„ธํฌ์—์„œ ์ง€๋ฐฉ ์ถ•์ ์ด ๋†๋„๋ณ„๋กœ ์–ต์ œ๋˜์—ˆ๋‹ค. 8์ฃผ๊ฐ„ ์ง„ํ–‰๋œ ๋™๋ฌผ์‹คํ—˜์—์„œ ํ”Œ๋ผํ‹ฐ์ฝ”๋”˜ D ๊ฐ•ํ™”๋ถ„ํš๋ฌผ์„ ๊ฒฝ๊ตฌํˆฌ์—ฌํ•œ ๊ทธ๋ฃน์—์„œ๋Š” ๊ณ ์ง€๋ฐฉ๊ทธ๋ฃน๋ณด๋‹ค ์œ ์˜์ ์ธ ์ฒด์ค‘๊ฐ์†Œ์™€ ๋ณต๋ถ€์ง€๋ฐฉ๋Ÿ‰ ๊ฐ์†Œ ํšจ๊ณผ๋ฅผ ๋‚˜ํƒ€๋‚ด์—ˆ๋Š”๋ฐ, ์ด๊ฒƒ์€ ์ˆ˜์น˜์ƒ ํ”Œ๋ผ๋””์ฝ”๋”˜ D ์™€ ์•ฝ๋ฆฌํ™œ์„ฑ์ˆ˜์ค€์ด ๋น„์Šทํ•˜๊ฑฐ๋‚˜ ์ข€๋” ์ข‹์€ ํšจ๋Šฅ์„ ๋ณด์ผ ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋“ค์„ ์ข…ํ•ฉํ•˜์—ฌ ๋ณผ ๋•Œ, ํ”Œ๋ผ๋””์ฝ”๋”˜ D์™€ ํ”Œ๋ผ๋””์ฝ”๋”˜ D ๊ฐ•ํ™”๋ถ„ํš๋ฌผ์€ ๋น„๋งŒ ๋ฐ ๋น„๋งŒ์— ์˜ํ•ด ์œ ๋ž˜๋œ ์ง€๋ฐฉ๊ฐ„์— ํšจ๊ณผ์ ์ธ ์•ฝ๋ฌผ์ผ ๊ฒƒ์ด๋ผ ๊ธฐ๋Œ€๋œ๋‹ค. ๋˜ํ•œ, ํ”Œ๋ผ๋””์ฝ”๋”˜ D ๊ฐ•ํ™”๋ถ„ํš๋ฌผ์€ ๊ทธ๋™์•ˆ ์ƒ์—…ํ™”ํ•˜๊ธฐ ์–ด๋ ค์› ๋˜ ํ”Œ๋ผ๋””์ฝ”๋”˜ D์˜ ๋Œ€์ฒด๋ฌผ์งˆ์ด ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋ผ ํŒ๋‹จํ•˜์ง€๋งŒ, ์‚ฐ์—…ํ™” ๊ณผ์ •์—์„œ๋Š” ๋‹จ๋ฐฑ์งˆ์ˆ˜์ค€์—์„œ ๊ธฐ์กด ์ƒํ’ˆํ™” ๋˜์–ด ์žˆ๋Š” ๋‹จ์ผํ™”ํ•ฉ๋ฌผ์ด๋‚˜ ํ”Œ๋ผ๋””์ฝ”๋”˜ D์™€ ํšจ๋Šฅํ‰๊ฐ€๋ฅผ ๋น„๊ตํ•˜๋Š” ํ›„์†์‹คํ—˜์ด ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค.Platycodi Radix, the root of Platycodon grandiflorum (Jacq.) A. DC. (Campanulaceae), is traditionally used as a treatment for respiratory discomfort by practitioners of Traditional Chinese medicine, Japanese Kampo medicine and Korean medicine. Platycosides, the saponins found in the roots of Platycodon grandiflorum (Jacq.) A. DC. (Platycodi Radix), are typically composed of oleanane backbones with two side chains, one is a 3-O-glucose side chain linked by a glycosidic bond and the other being a 28-O-arabinose-rhamnose-xylose-apiose side chain joined by an ester bond. Platycodi Radix is known to have more than 20 saponins with similar structures. Among them, platycodin D is superior to other saponins and the distinctive compound found only in Platycodi Radix. It is known to be effective for those with a sore throat, bronchitis, cold, diabetes, inflammation and cancer. Although platycodin D has broad pharmacological value, because the total content of saponins is as low as 2% by dry weight of Platycodi Radix, it is difficult to isolate platycodin D from Platycodi Radix on a large scale. When attempting to overcome this disadvantage, we successfully isolated platycodin D in Platycodi Radix and several derivatives in a short period of time using a multi-step process which includes high-speed counter-current chromatography (HSCCC) and preparative reversed-phase high-performance liquid chromatography (HPLC) steps. We also successfully developed an enzyme-conversion technique through which platycodin D3 (PD3) and platycoside E (PE), which have two and three glucose units at C-3, respectively, are converted to platycodin D, consequently increasing the amount of platycodin D in saponin and thus making it an enriched fraction (henceforth PScell). In this study, we aim to determine the mechanism of how platycodin D, which is widely known to be effective on the bronchus, works on obesity. A second goal is to determine the effects of PScell on obesity. We initially examined platycodin D and platycodin D derivatives to determine how they inhibit lipid accumulation activity, finding that platycodin D is a more effective inhibitor than any of the platycodin D derivatives. To determine the optimal concentration of platycodin D, various doses were exposed to cells during MDI (isobutylmethylxanthine, dexamethasone and insulin)-induced differentiation. On day 8, the lipid contents in 3T3-L1 cytoplasm were measured by Oil Red O staining. The results showed that platycodin D (1, 2.5, 5 ฮผM) blocked adipocyte differentiation in proportion to the platycodin D dose with platycodin D 5 ฮผM inhibiting lipid accumulation in the cytoplasm by as much as 62.5% in a MDI-treated positive control without affecting cell viability. It was also found that platycodin D significantly inhibits fat accumulation of lipid droplets in the cytoplasm by inhibiting adipogenic-specific transcription factors PPARฮณ2 and C/EBPฮฑ in MDI-induced 3T3-L1 cells in a dose-dependent manner. Similarly, platycodin D inhibits adipocyte differentiation of 3T3-L1 cells through the ERK pathway within 24 hrs. Furthermore, we investigated the molecular mechanism of platycodin D, focusing on its ability to decrease the expression of adipogenic factors through AMP-activated protein kinase ฮฑ (AMPKฮฑ) in adipocytes and to prevent abdominal fat accumulation in high-fat-diet-induced obesity among C57BL/6 mice. To verify the anti-obesity effect in vivo, a group of mice ate a normal diet while the others were fed a high-fat diet for eight weeks. The high-fat-diet mice were then divided into three subgroups: termed the aminoimidazole carboxamide ribonucleotide (AICAR) group, the vehicle group and the platycodin D group. It was found that platycodin D significantly reduced fat accumulation by inhibiting adipogenic signal transcriptional factors, in this case peroxisome proliferator-activated receptor ฮณ2 (PPARฮณ2) and CCAAT/enhancer binding protein ฮฑ (C/EBPฮฑ), through AMPK in vivo. Platycodin D also reduced both the body weight and fat mass and consequently improved lipid metabolism by increasing AMPK, as also seen in AICAR group, while also reducing PPARฮณ2 and C/EBPฮฑ expression levels in adipose tissue. In addition, glutamic oxaloacetic transaminase (GOT) and glutamic pyruvic transaminase (GPT) levels, which are used as indicators of hepatic disease in serum and the size of lipid drops during morphometric observations of fatty liver were significantly reduced in the platycodin D group. Moreover, protein expressions of AMP-activated protein kinase ฮฑ (AMPKฮฑ) increased while sterol regulatory element binding protein-1 (SREBP-1) decreased in the platycodin D group compared to those of the high-fat group (HF). This outcome suggests that platycodin D can be used to inhibit lipid accumulation by reducing the expression levels of adipogenic factors related to the AMPK pathway and that it can be expected to improve lipid metabolism in obesity-associated hepatic lipogenesis. In addition, we attempted to investigate the fat accumulation effect of PScell, the fraction with an increased platycodin D content, by enzymatic transformation. Treatment of 3T3-L1 adipocytes with PScell (5, 7.5, 10 ฮผg/mL) reduced lipid accumulation in a dose-dependent manner. In a mouse model, oral administration of PScell (70 mg/kg, 6 mL/kg) reduced high-fat-diet-induced body weight gain. Consistently, PScell alleviated total cholesterol, LDL cholesterol, triglyceride and glucose levels in mice serum. Liver and abdominal adipose tissues from the groups treated with PScell exhibited a decreased number of lipid droplets relative to the high-fat control group. PScell showed a stronger inhibitory effect on lipid accumulation at a slightly lower concentration than that of platycodin D numerically in in vitro and in vivo. From these results, we considered that PScell is a potential candidate as a treatment for obesity and fatty liver induced by a high-fat diet by replacing platycodin D with a low yield in Platycodi radix.CONTENTS ABSTRACT CONTENTS LIST OF FIGURES LIST OF TABLE I. INTRODUCTION 1. Platycodi Radix, Platicosides and Platycodin D 2. Adipocyte and adipogenesis 3. AMPK 4. Purpose of the study II. MATERIALS and METHODS 1. MATERIALS 1.1. Plant material 1.2. Chemicals and reagents 1.3. Cells culture 1.4. Animals 1.5. Apparatuses 2. METHODS 2.1. Preparation of crude sample 2.2. One-step separation of platycodin D by HSCCC 2.3. Sample preparation of enriched saponin fraction 2.4. Cell viability assay 2.5. Adipocyte differentiation and treatment 2.6. Oil Red O staining 2.7. Western blotting 2.8. Real time PCR 2.9. High fat diet induced obese mice 2.10. Serum analysis 2.11. Micro-computed tomography 2.12. Histological analysis 2.13. Data analysis III. RESULTS 3.1. Lipid accumulation inhibition activities of platycodin D and platycodin D derivatives isolated by HSCCC 3.2. Effects of platycodin D on lipid accumulation during adipocyte differentiation 3.3. Effects of platycodin D on the expression of p-ERK during adipocyte differentiation 3.4. Effects of platycodin D on the expression of a p-AMPKฮฑ pathway in 3T3-L1 cell 3.5. Effect of platycodin D on body weight, food intake and daily energy in high fat diet mice 3.6. Effect of platycodin D on white adipose tissue mass and serum profiles in high fat diet mice 3.7. Effect of platycodin D on adipogenic protein expression in high fat diet mice 3.8. Effects of platycodin D on lipid accumulation in liver of C57BL/6 model induced obesity 3.9. Effects of PScell on lipid accumulation inhibition activities during adipocyte differentiation 3.10. Effects of PScell on food intake, body weight gain in C57BL/6 model induced obesity 3.11. Effects of PScell on white adipose tissue and liver fatty droplet accumulation in C57BL/6 model-induced obesity 3.12. Effects of PScell on serum profiles in C57BL/6 model-induced obesity IV. DISCUSSION V. REFERENCES VI. ABSTRACT IN KOREAN VII. ACKNOWLEGEMENT LIST OF FIGURES Fig. 1. Structure of platycodin D Fig. 2. Physiological balance between hypertrophy and hyperplasia Fig. 3. Constitute of cells in white adipose tissue Fig. 4. Secretion adipokines of triglyceride overload hypertrophy adipocyte Fig. 5. Transcriptional factors of adipocyte differentiation PPARฮณ2, C/EBPฮฑ Fig. 6. MAPKs signal transduction pathways Fig. 7. Involvement of the MAPKs at the various steps of adipogenesis Fig. 8. Sampling-preparative isolation platycodin D from Platycodon grandiflorum A. DC. by HSCCC coupled with ELSD Fig. 9. Enzymetic biotransformation of the saponin-enriched fraction to platycodin D by cellulase Fig. 10. Large-scale modification of the saponin-enriched fraction for platycodin D Fig. 11. Adipocyte differentiation and treatment Fig. 12. High fat diet animal model experiments Fig. 13. Cytotoxicity and lipid accumulation inhibition activities of platycodin D and platycodin D derivatives Fig. 14. Effects of platycodin D on lipid accumulation during adipocyte differentiation Fig. 15. Effects of platycodin D on the expression of p-ERK during adipocyte differentiation Fig. 16. Effects of platycodin D on the activation of AMPKฮฑ during adipocyte differentiation Fig. 17. Effects of platycodin D on body weight gain, food intake and daily energy in C57BL/6 model-induced obesity Fig. 18. Effects of platycodin D on fat size, mass and serum profiles in C57BL/6 model-induced obesity Fig. 19. Effects of platycodin D on the expression of proteins related to lipid metabolism in white adipose tissue Fig. 20. Effects of platycodin D on lipid accumulation in liver of C57BL/6 model-induced obesity Fig. 21. Effects of PScell on lipid accumulation inhibition activities during adipocyte differentiation Fig. 22. Effects of PScell on food intake and body weight gain in C57BL/6 model-induced obesity Fig. 23. Effects of PScell on liver and white adipose tissue size fatty droplet accumulation in C57BL/6 model-induced obesity Fig. 24. Effects of PScell on serum profiles in C57BL/6 model-induced obesity LIST OF TABLE Table 1. The structures of various platycosidesDocto

    Meta-Analysis of Expression Profiling Data Indicates Need for Combinatorial Biomarkers in Pediatric Ulcerative Colitis

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    Background. Unbiased studies using different genome-wide methods have identified a great number of candidate biomarkers for diagnosis and treatment response in pediatric ulcerative colitis (UC). However, clinical translation has been proven difficult. Here, we hypothesized that one reason could be differences between inflammatory responses in an inflamed gut and in peripheral blood cells. Methods. We performed meta-analysis of gene expression microarray data from intestinal biopsies and whole blood cells (WBC) from pediatric patients with UC and healthy controls in order to identify overlapping pathways, predicted upstream regulators, and potential biomarkers. Results. Analyses of profiling datasets from colonic biopsies showed good agreement between different studies regarding pathways and predicted upstream regulators. The most activated predicted upstream regulators included TNF, which is known to have a key pathogenic and therapeutic role in pediatric UC. Despite this, the expression levels of TNF were increased in neither colonic biopsies nor WBC. A potential explanation was increased expression of TNFR2, one of the membrane-bound receptors of TNF in the inflamed colon. Further analyses showed a similar pattern of complex relations between the expression levels of the regulators and their receptors. We also found limited overlap between pathways and predicted upstream regulators in colonic biopsies and WBC. An extended search including all differentially expressed genes that overlapped between colonic biopsies and WBC only resulted in identification of three potential biomarkers involved in the regulation of intestinal inflammation. However, two had been previously proposed in adult inflammatory bowel diseases (IBD), namely, MMP9 and PROK2. Conclusions. Our findings indicate that biomarker identification in pediatric UC is complicated by the involvement of multiple pathways, each of which includes many different types of genes in the blood or inflamed intestine. Therefore, further studies for identification of combinatorial biomarkers are warranted. Our study may provide candidate biomarkers for such studies.ope

    Bernard Lewis, What Went Wrong: Western Impact and Middle Eastern Response (Oxford, New York: Oxford University Press, 2002)

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    ์ „๋ถ„์‹ํ’ˆ์˜ ์น˜์•„์šฐ์‹์œ ๋ฐœ๋ ฅ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์น˜์˜ํ•™๊ณผ, 2016. 8. ์ง„๋ณดํ˜•.Starch is a common source of fermentable carbohydrates. It's slow absorption and degradation make it superior among other low molecular carbohydrates. Yet, current studies reflect incoherent claims about the cariogenic potentiality of starch. An evaluation analyzing the correlation of microbial and various physiochemical factors and demineralized quantity (radioisotope 32P) which was recently developed and introduced using polyacrylamide hydroxyapatite disc (PAHA) was performed through 11 starchy foods to determine the cariogenic potentiality in vitro affecting dental caries. Test subjects (11 starchy foods) were treated and prepared specified by a modified method from the Association Official Analytical Chemists (AOAC). Subjects included total 5 group of 11 starchy foods, measured both physiochemical & microbial factorsmoisture content, total starch, hydrolyzed starch, pH, titratable acidity, total sugar, reducing sugar, texture, and total viable cell count after inoculation of S.mutans and demineralized quantification and degree of radioisotope 32P using PAHAliquid scintillation count, scanning electronic microscopy and confocal laser scanning microscopy. Pearson correlation and stepwise regression were performed as a statistical evaluation to analyze the caries-associated variable by SPSS software for Windows (version 23.0, SPSS Inc., Chicago, IL, USA) and IBM Watson Analytics (cognitive analytics). The total average of moisture content, starch, hydrolyzed starch, pH, titratable acidity, total sugar, reducing sugar, TPA (hardness, springiness, cohesiveness, chewiness and adhesiveness) and total viable cells after inoculation of S. mutans in 11 test foods were 32.3%, 67.4%, 9.3%, 5.8, 0.38%, 245.1 mg/g, 17.5 mg/g, 2409.0, 0.57, 0.43, 621.5, -38.8 and 2.22 ร— 106/ml. With Pearson correlation coefficients (r) of caries-associated variables, including total starch, hydrolyzed starch, titratable acidity, reducing sugar and TPA results, including hardness, cohesiveness, chewiness, adhesiveness were significant at p < 0.001 and pH, total sugar and springiness (TPA) presented p < 0.05 significance. Hydrolyzed starch, adhesiveness, total viable cells of S. mutans, moisture content and titratable acidity affected cariogenic potentiality significant at p < 0.001, reducing sugar presented p < 0.01 significance, springiness significant at p < 0.05 and an adjusted Rยฒ at 0.904 showed p < 0.05 significance, analyzing caries-associated variable factors by stepwise regression analysis. Caries associated multivariate analysis was authorized to assess cariogenic potential of starchy foods. Through statistical validation, quantifying demineralization in vitro by measuring radioisotope ยณยฒP released from PAHA disc model showed a significance with other physiochemical factors. With PAHA, this study managed to quantify the starch-induced demineralization in vitro. While the method holds limited information than in situ or in vivo model in terms of providing oral physiological process, it standardized the various types, proportion and characteristics of both individual or bovine models and the PAHA disc was the best candidate. As a standardized matter, which is commonly totaled as enamel compound due to chemical resemblance, it clearly presented a reliability and reproducibility throughout the research. Finally, this data was contributed to the national oral health to mark the cariogenic potential index in starchy foods.Literature Review 1 I. Starch 3 II. Cariogenic Potential of Starch 5 III. Methods for Assessment of Cariogenicity 8 1. Introduction 11 2. Material & Method 14 2.1 Materials 14 2.1.1 Foods 14 2.1.2 Artificial Saliva 14 2.1.3 Strain 15 2.1.4 Hydroxyapatite Disc 15 2.2 Methods 16 2.2.1 Preparation of the Foods 16 2.2.2 Physico-chemical Factors 16 2.2.3 Microbial Factor 21 2.2.4 Radioisotope-labeled PAHA Disc 22 2.2.5 Statistical Analysis 24 3 Results 25 3.1 Physico-chemical Factors 25 3.1.1 Starch 25 3.1.2 pH and Titratable Acidity 29 3.1.3 Total Sugar and Reducing Sugar 31 3.1.4 Texture 33 3.2 Microbial Factor 35 3.2.1 Total Viable Cells after Inoculation of S. mutans in Test Foods 35 3.3 Radioisotope-labeled PAHA Disc 37 3.3.1 Comparison of 32P Released from the Radioisotope-labeled PAHA after Inoculating S. mutans 37 3.3.2 Confocal Laser Scanning Microscopy 40 3.3.3 Scanning Electronic Microscopy 43 3.4 Modeling of Caries-associated Variables 61 4. Discussion 66 5. Conclusions 81 Bibliography 83 Abstract in Korean 96Docto

    ์ˆ˜ํ•™๊ต์‚ฌ์˜ ์‹ค์ฒœ์  ์ง€์‹ ๊ตฌ์„ฑ ๊ณผ์ •์— ๋Œ€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ˆ˜ํ•™๊ต์œก๊ณผ, 2015. 2. ์ด๊ฒฝํ™”.๋ณธ ์—ฐ๊ตฌ๋Š” ์ˆ˜ํ•™๊ต์‚ฌ ๊ต์œก์—์„œ ๊ต์‚ฌ์˜ ์‹ค์ฒœ์  ์ง€์‹์˜ ์ค‘์š”์„ฑ์ด ์ ์ฐจ ๊ฐ•์กฐ๋˜๊ณ  ์žˆ์œผ๋‚˜, ์‹ค์ฒœ์  ์ง€์‹์˜ ์˜๋ฏธ์™€ ๊ตฌ์„ฑ ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ๋…ผ์˜๊ฐ€ ๋ถ€์กฑํ•˜๋‹ค๋Š” ๋ฌธ์ œ์˜์‹์—์„œ ์ถœ๋ฐœํ•˜์˜€๋‹ค. ํŠนํžˆ, ์ˆ˜ํ•™๊ต์‚ฌ์˜ ์‹ค์ฒœ์  ์ง€์‹ ๊ตฌ์„ฑ์„ ์œ„ํ•œ ๊ตฌ์ฒด์ ์ธ ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ๋…ผ์˜๊ฐ€ ์ด๋ฃจ์–ด์ง€๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ต์‚ฌ์˜ ์‹ค์ฒœ์— ๋ฐ˜๋“œ์‹œ ์ˆ˜๋ฐ˜๋˜๋Š” ์•”๋ฌต์  ์ง€์‹์— ๋Œ€ํ•œ ๋ถ„์„์ด ์„ ํ–‰๋˜์–ด์•ผ ํ•จ์— ์ฃผ๋ชฉํ•˜์˜€๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ฌธํ—Œ ๋ถ„์„์„ ํ†ตํ•ด ๊ต์‚ฌ์˜ ์‹ค์ฒœ์— ๊ด€์—ฌํ•˜๋Š” ๋‹ค์–‘ํ•œ ์ง€์‹๊ณผ ๋”๋ถˆ์–ด ์•”๋ฌต์  ์ง€์‹์˜ ์˜๋ฏธ๋ฅผ ๋ฉด๋ฐ€ํžˆ ํŒŒ์•…ํ•˜์˜€๋‹ค. ๊ต์ˆ˜ํ•™์  ๋‚ด์šฉ์ง€์‹, ์ˆ˜ํ•™์„ ๊ฐ€๋ฅด์น˜๊ธฐ ์œ„ํ•œ ์ง€์‹ ๋“ฑ ๋ถ„์ ˆ์ ์œผ๋กœ ์ˆ˜ํ•™๊ต์‚ฌ์˜ ์ „๋ฌธ์  ์ง€์‹์— ๋Œ€ํ•ด ์ด๋ฃจ์–ด์ง„ ๊ธฐ์กด์˜ ๋…ผ์˜์—, ์ˆ˜ํ•™๊ต์‚ฌ์˜ ์‹ค์ฒœ์„ ๋‘˜๋Ÿฌ์‹ผ ์•”๋ฌต์  ์ฐจ์›์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋ฅผ ๋ณด์™„ํ•จ์œผ๋กœ์จ ์ˆ˜ํ•™๊ต์‚ฌ์˜ ์‹ค์ฒœ์  ์ง€์‹์˜ ์˜๋ฏธ๋ฅผ ๊ตฌ์ฒดํ™”ํ•˜์˜€์œผ๋ฉฐ, ์‹ค์ œ ์ˆ˜ํ•™๊ต์‚ฌ์˜ ์‹ค์ฒœ์  ์ง€์‹ ๊ตฌ์„ฑ ๊ณผ์ •์„ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๊ณผ์ œ ์„ค๊ณ„์—์„œ๋ถ€ํ„ฐ ์ˆ˜์—… ์‹คํ–‰์— ์ด๋ฅด๋Š” ์ผ๋ จ์˜ ๊ณผ์ •์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ํด๋ผ๋‹ˆ์˜ ์ธ์‹๋ก ์— ๊ทผ๊ฑฐํ•˜์—ฌ ์•”๋ฌต์  ์ง€์‹์˜ ์˜๋ฏธ๋ฅผ ์‚ดํŽด๋ณธ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ๋จผ์ € ์•”๋ฌต์  ์ง€์‹์€ ์‚ผ์›์  ๊ตฌ์กฐ๋กœ ์ด๋ฃจ์–ด์ง€๋ฉฐ, ์ธ์‹์ž, ๋ณด์กฐ์‹, ์ดˆ์ ์‹์ด ๊ทธ ์„ธ ์š”์†Œ์ด๋‹ค. ์ธ์‹์ž๋Š” ๋ณด์กฐ์‹์˜ ์„ธ๋ชฉ๋“ค์ด ๋ฌด์—‡์ธ์ง€ ์ •ํ™•ํ•˜๊ฒŒ ์‹๋ณ„ํ•  ์ˆ˜๋Š” ์—†์ง€๋งŒ ๊ทธ๊ฒƒ๋“ค์„ ์ œ์–ดํ•  ์ˆ˜ ์žˆ๋‹ค. ๋˜, ์ธ์‹์ž๋Š” ํŠน์ •ํ•œ ๋ชฉ์ ๊ณผ ์˜๋„๋ฅผ ๊ฐ€์ง€๊ณ  ์˜์‹ํ•˜๋Š” ์ดˆ์  ๋Œ€์ƒ์— ๋ณด์กฐ์‹์˜ ์„ธ๋ชฉ๋“ค์„ ๊ด€๋ จ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. ์ด ๊ณผ์ •์— ์˜ํ•˜์—ฌ ์ดˆ์ ์‹๊ณผ ๋ณด์กฐ์‹์ด ๊ต๋Œ€๋˜๋ฉด์„œ ๊ธฐ์ˆ ๊ณผ ์ง€์‹์ด ๋ฐœ๋‹ฌํ•œ๋‹ค. ์ด์™€ ๊ฐ™์€ ๊ด€์ ์— ๋น„์ถ”์–ด๋ณด๋ฉด, ๊ต์‚ฌ๋Š” ์ž์‹ ์˜ ์‹ ๋…๊ณผ ๊ฐ™์€ ์•”๋ฌต์  ์ง€์‹๊ณผ ๋ฌด์˜์‹์ ์œผ๋กœ ํ–‰ํ•˜๋Š” ๊ต์ˆ˜ ํ™œ๋™์„ ๋ฐ˜์„ฑํ•˜๊ณ  ์˜์‹ํ™”ํ•˜๊ณ , ์˜์‹์ ์œผ๋กœ ๊ต์ˆ˜ ํ–‰์œ„๋ฅผ ํ•˜๋ฉด์„œ ๋‹ค์‹œ ๋ฌด์˜์‹์ ์œผ๋กœ ํ–‰ํ•˜๊ฒŒ ๋˜๋Š” ๊ณผ์ •์„ ํ†ตํ•ด ์‹ค์ฒœ์  ์ง€์‹์„ ๊ตฌ์„ฑํ•˜๊ณ  ๋ฐœ๋‹ฌ์‹œ์ผœ๋‚˜๊ฐ„๋‹ค๊ณ  ๋ณผ ์ˆ˜ ์žˆ๋‹ค. ์š”์ปจ๋Œ€, ๊ต์‚ฌ์˜ ์‹ค์ฒœ์  ์ง€์‹์€ ๋ช…์‹œ์  ์ฐจ์›๊ณผ ์•”๋ฌต์  ์ฐจ์›์ด ์กด์žฌํ•˜๋ฉฐ, ๊ต์‚ฌ๊ฐ€ ์•”๋ฌต์  ์ฐจ์›์˜ ์ž‘์šฉ์„ ์ธ์‹ํ•˜๊ณ  ์ด๋ฅผ ์„ฑ์ฐฐํ•˜๋Š” ๊ฒƒ์€ ๊ต์‚ฌ์˜ ์‹ค์ฒœ์  ์ง€์‹ ๊ตฌ์„ฑ ๊ณผ์ •์—์„œ ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค๋Š” ์ ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ต์‚ฌ์˜ ์‹(awareness)์€ ๊ต์‚ฌ์˜ ์ง€์‹๊ณผ ๋”๋ถˆ์–ด ์ฃผ๊ด€์ ์ธ ๊ฒฝํ—˜๊ณผ ๊ด€๋ จ์ด ์žˆ๋‹ค. ์‹ค์ œ ์ˆ˜์—… ์ƒํ™ฉ์—์„œ์˜ ๊ต์‚ฌ์˜ ์‹(awareness)์€ ๊ต์‚ฌ์˜ ์˜๋„์™€ ๋ชฉ์ ์— ๋”ฐ๋ผ ์ฃผ๊ด€์ ์ธ ๊ฒฝํ—˜์„ ํ†ตํ•ด ํ˜•์„ฑ๋œ ๊ฐ๊ฐ๊ณผ ์ƒํ™ฉ์œผ๋กœ๋ถ€ํ„ฐ์˜ ๋‹จ์„œ๊ฐ€ ๊ต์‚ฌ์˜ ์ง€์‹๊ณผ ๊ฒฐํ•ฉ๋˜์–ด ์„ธ๋ถ€์ ์ธ ์‚ฌํ•ญ๋“ค์„ ์ง€๊ฐํ•จ์œผ๋กœ์จ ๊ต์‚ฌ์˜ ํ–‰๋™์œผ๋กœ ๋“œ๋Ÿฌ๋‚˜๊ฒŒ ๋œ๋‹ค. ์ ์ ˆํ•˜๊ณ  ํ•ฉ๋ฆฌ์ ์ธ ๋ฐฉ์‹์œผ๋กœ ์ˆ˜์—…์„ ์‹คํ–‰ํ•˜๊ธฐ ์œ„ํ•ด์„œ, ๊ต์‚ฌ๋Š” ์ˆ˜์—…์—์„œ ์ค‘์š”ํ•˜๊ฒŒ ๋‹ค๋ฃจ์–ด์ ธ์•ผ ํ•  ์ธก๋ฉด๋“ค์— ์˜๋„์ ์ด๊ณ  ์˜์‹์ ์œผ๋กœ ์ฃผ์˜๋ฅผ ๊ธฐ์šธ์ด๊ณ  ์ง€์†์ ์œผ๋กœ ๊ด€์ฐฐํ•˜๋ฉด์„œ ์ˆ˜์—…์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์‚ฌ๊ฑด๋“ค์˜ ๋ฏธ๋ฌ˜ํ•œ ์ฐจ์ด๋“ค์„ ์•Œ์•„์ฐจ๋ฆฌ๊ณ  ์ด์— ์ ์ ˆํ•œ ๋Œ€์‘์„ ๊ฒฝํ—˜ํ•ด๋‚˜๊ฐ€๋ฉด์„œ ๊ทธ ์ƒํ™ฉ์— ๋Œ€ํ•œ ์‹(awareness)์„ ํ‚ค์›Œ๋‚˜๊ฐˆ ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๊ต์‚ฌ์˜ ์‹(awareness)์— ๋Œ€ํ•œ ๋…ผ์˜๋กœ๋ถ€ํ„ฐ ๋„์ถœํ•œ ์‹œ์‚ฌ์ ์€ ๊ต์‚ฌ๊ฐ€ ์ž์‹ ์˜ ๊ต์ˆ˜ ํ™œ๋™์„ ์˜์‹ํ™”ํ•จ์œผ๋กœ์จ ์ž์‹ ์˜ ํ–‰๋™ ์ด๋ฉด์— ์กด์žฌํ•˜๋Š” ์•”๋ฌต์  ์ฐจ์›์ด ์ˆ˜์—…๊ณผ ํ•™์ƒ์˜ ํ•™์Šต์— ์ค‘์š”ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ณ  ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ๊นจ๋‹ซ๊ฒŒ ๋˜๋ฉด์„œ ์‹ค์ฒœ์  ์ง€์‹์„ ๊ตฌ์„ฑํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์ด๋‹ค. ์‹ค์ฒœ์  ์ง€์‹์— ๋Œ€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ์™€ ์•”๋ฌต์  ์ง€์‹์— ๋Œ€ํ•œ ๋…ผ์˜๋ฅผ ํ† ๋Œ€๋กœ, ์ˆ˜ํ•™๊ต์‚ฌ์˜ ์‹ค์ฒœ์  ์ง€์‹ ๊ตฌ์„ฑ์„ ์œ„ํ•ด์„œ๋Š” ๊ต์‚ฌ์˜ ์‹ค์ฒœ ๊ฒฝํ—˜, ์ด๋ก ์  ์ง€์‹ ๊ทธ๋ฆฌ๊ณ  ๊ต์‚ฌ์˜ ์‹(awareness)์˜ ์„ธ ์š”์†Œ๊ฐ€ ํ•„์š”ํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋˜ํ•œ ๊ต์‚ฌ์˜ ์‹(awareness)์„ ๊ฐ•ํ™”์‹œํ‚ค๊ธฐ ์œ„ํ•œ ์ „๋žต์œผ๋กœ ๊ต์‚ฌ์˜ ๋ฐ˜์„ฑ๊ณผ ์•Œ์•„์ฐจ๋ฆผ(noticing)์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ์•Œ์•„์ฐจ๋ฆผ์€ ์ฒด๊ณ„์ ์ธ ๋ฐ˜์„ฑ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ต์‚ฌ์˜ ๋ฏผ๊ฐ์„ฑ์„ ํ‚ค์šธ ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ๊ต์‚ฌ์˜ ์‹(awareness)์„ ๊ฐ•ํ™”์‹œํ‚ค๊ณ  ๊ฒฝํ—˜๊ณผ ๋ช…์‹œ์ ์ธ ์ง€์‹์ด ์กฐํ™”๋กญ๊ฒŒ ๊ท ํ˜•์„ ์ด๋ฃจ๋Š”๋ฐ ํšจ๊ณผ์ ์ธ ๋ฐฉ๋ฒ•์ด ๋  ์ˆ˜ ์žˆ๋‹ค. ์ˆ˜ํ•™๊ต์‚ฌ์˜ ์‹ค์ฒœ์  ์ง€์‹ ๊ตฌ์„ฑ์„ ์œ„ํ•œ ์„ธ ์š”์†Œ์™€ ๋ฐ˜์„ฑ๊ณผ ์•Œ์•„์ฐจ๋ฆผ ์ „๋žต์„ ํ† ๋Œ€๋กœ ๊ต์‚ฌ๊ต์œก์˜ ์ ˆ์ฐจ๋ฅผ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋‹ค์„ฏ ๋‹จ๊ณ„๋กœ ์„ค๊ณ„ํ•˜์˜€๋‹ค. ์ด๋ก ํ•™์Šต, ๊ณผ์ œ์„ค๊ณ„, ์‚ฌ๊ณ ์‹คํ—˜, ์ˆ˜์—…์‹คํ–‰, ์ˆ˜์—…์— ๋Œ€ํ•œ ๋ถ„์„์ด ๊ทธ๊ฒƒ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ค‘ํ•™๊ต ๊ต์‚ฌ๊ฐ€ ์ด ์ ˆ์ฐจ์— ๋”ฐ๋ผ ์‹ค์ฒœ์  ์ง€์‹์„ ๊ตฌ์„ฑํ•˜๋Š” ๊ณผ์ •์— ๋Œ€ํ•˜์—ฌ ์‚ดํŽด๋ณด์•˜๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ, ์‹ค์ฒœ์  ์ง€์‹์˜ ๊ตฌ์„ฑ ๊ณผ์ •์€ ํฌ๊ฒŒ ์ดˆ์ ์‹ํ™”์™€ ๋ณด์กฐ์‹ํ™”๋กœ ์ด๋ฃจ์–ด์ง„๋‹ค๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ดˆ์ ์‹ํ™” ๊ณผ์ •์—์„œ ๊ต์‚ฌ๋Š” ์•”๋ฌต์  ์ฐจ์›์˜ ๋ณด์กฐ์‹๋“ค์„ ์˜์‹ํ™”ํ•˜๊ณ  ๋ฐ˜์„ฑํ•จ์œผ๋กœ์จ ์‹ค์ฒœ์„ ๋ณ€ํ™”์‹œํ‚ค๋ ค๋Š” ์˜์ง€๋ฅผ ๊ฐ€์ง€๊ณ  ์˜์‹์ ์ธ ๊ต์ˆ˜ ํ™œ๋™์„ ํ•ด๊ฐ€๋ฉด์„œ ์‹ค์ฒœ์„ ๊ฐœ์„ ํ•œ๋‹ค. ์ด์–ด์„œ ๋ณด์กฐ์‹ํ™” ๊ณผ์ •์—์„œ ๋‹ค์‹œ ๋ฌด์˜์‹์ ์ธ ๊ต์ˆ˜ ํ™œ๋™์„ ํ•˜๊ฒŒ ๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์— ์ฐธ์—ฌํ•œ ๊ต์‚ฌ๋Š” ์˜์‹ํ™”์™€ ๋ฐ˜์„ฑ์— ์˜ํ•œ ์ดˆ์ ์‹ํ™” ๊ทธ๋ฆฌ๊ณ  ์ด๋ฅผ ๋‹ค์‹œ ๋ณด์กฐ์‹ํ™” ๊ณผ์ •์„ ๊ต๋Œ€๋กœ ๊ฑฐ์น˜๋ฉด์„œ ์‹ค์ฒœ์  ์ง€์‹์„ ๊ตฌ์„ฑํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋ณ€ํ™”๋œ ๊ต์ˆ˜ ํ™œ๋™์ด ์Šต๊ด€ํ™”๋˜์–ด ์•ˆ์ •์ ์œผ๋กœ ๊ต์‚ฌ์˜ ์•”๋ฌต์  ์ฐจ์›์œผ๋กœ ์ž๋ฆฌ ์žก๊ธฐ ์œ„ํ•ด์„œ๋Š” ์žฅ์‹œ๊ฐ„์ด ํ•„์š”ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์ด์— ๋Œ€ํ•ด์„œ๋Š” ํ–ฅํ›„ ์ถ”์  ๊ด€์ฐฐ์ด ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์•”๋ฌต์  ์ง€์‹์— ๋Œ€ํ•œ ๋ฉด๋ฐ€ํ•œ ๋ถ„์„์„ ํ†ตํ•ด ์‹ค์ฒœ์  ์ง€์‹์˜ ์˜๋ฏธ๋ฅผ ๊ตฌ์ฒด์ ์œผ๋กœ ๋ฐํžˆ๊ณ  ์ด๋ฅผ ํ† ๋Œ€๋กœ ์‹ค์ฒœ์  ์ง€์‹ ๊ตฌ์„ฑ์„ ์ง€์›ํ•˜๋Š” ์ ˆ์ฐจ๋ฅผ ์ œ์•ˆํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์ค‘ํ•™๊ต ์ˆ˜ํ•™๊ต์‚ฌ๊ฐ€ ์ด ์ ˆ์ฐจ์— ๋”ฐ๋ผ ์‹ค์ฒœ์  ์ง€์‹์„ ๊ตฌ์„ฑํ•˜๋Š” ๊ณผ์ •์— ๋Œ€ํ•˜์—ฌ ์‚ดํŽด๋ด„์œผ๋กœ์จ ์‹ค์ฒœ์  ์ง€์‹์— ๊ด€ํ•œ ์ด๋ก ์ ์ด๊ณ  ์‹ค์ œ์ ์ธ ์ ‘๊ทผ์„ ์‹œ๋„ํ•˜์˜€๋‹ค. ์‹ค์ฒœ์  ์ง€์‹์€ ๊ทธ ํŠน์„ฑ์ด ๋‹ค๋ฉด์ ์ด๊ณ  ๋ชจํ˜ธํ•˜์—ฌ ๋‹ค๋ฃจ๋Š” ๊ฒƒ์ด ์‰ฝ์ง€ ์•Š๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์‹ค์ฒœ์  ์ง€์‹์€ ์ˆ˜ํ•™๊ต์‚ฌ์˜ ์ „๋ฌธ์„ฑ์„ ์ด๋ฃจ๋Š” ํ•ต์‹ฌ์ ์ธ ์š”์†Œ์ด๋ฏ€๋กœ ๋‹ค๊ฐ๋„๋กœ ์ดํ•ดํ•˜๊ณ  ๋ถ„์„ํ•˜์—ฌ ๊ทธ ํŠน์„ฑ์„ ๋ฐํžˆ๊ณ  ๊ตฌ์„ฑ ๋ฐฉ์•ˆ์„ ๋ชจ์ƒ‰ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค.CHAPTER โ… . INTRODUCTION 1 1. Background on the study 1 2. Research questions 10 3. Outline of the study 11 CHAPTER โ…ก. TACIT KNOWLEDGE 13 1. The meaning of tacit knowledge 14 2. The structure of tacit knowing and construction of knowledge 18 3. Tacit knowing and teaching 25 3.1. Tacit knowing and awareness 30 3.1.1. Awareness and noticing 32 3.1.2. Importance of mathematics teacher awareness 38 3.2. Tacit knowledge and socio-cultural environment 40 CHAPTER โ…ข. CONSTRUCTION OF MATHEMATICS TEACHERS PRACTICAL KNOWLEDGE 48 1. The concept of mathematics teachers practical knowledge and its components 48 2. Strategies for the reinforcement of mathematics teacher awareness 54 2.1. Reflection 55 2.1.1. Process of reflection 56 2.1.2. Content of reflection 58 2.2. Noticing 60 3. Teacher training procedures for the construction of mathematics teachers practical knowledge 65 3.1. Learning theory 65 3.2. Task design 67 3.3. Thought experiment 73 3.4. Conduct of class 78 3.5. Analysis of class with colleagues 79 CHAPTER โ…ฃ. THE CONDUCT OF RESEARCH 81 1. Method 82 1.1. Research participants 82 1.2. Data gathering process 84 1.3. Analysis of data 88 2. Task design on similarity of figures and teachers noticing in thought experiment 90 2.1. Purpose of task design 90 2.2. Noticing during the task design and thought experiment 92 3. Noticing and reflection in class 102 3.1. When noticing from thought experiment is reflected 103 3.1.1. Inducing understanding of similarity concept by systematically proposing examples 103 3.1.2. Recognizing the concept of similarity that exists behind diverse methods 117 3.1.3. Expansion of perspective through utilization of mathematical tool 121 3.2. A case in which the noticing from thought experiment is not well-reflected 133 3.2.1. A case in which the noticing at mathematical dimension does not lead to psychological and management of teaching dimensions 133 3.2.1.1. Unable to accurately identify the students level of understanding 133 3.2.1.2. The interaction with the students is not adequate 138 3.2.2. The case in which the previous way of teaching appears 142 3.2.2.1. Unable to provide enough opportunities to inquiry 142 3.2.2.2. The teacher asks dichotomy or short-answer questions 146 4. Noticing and reflection from class analysis 150 4.1. Recognition of the necessity to understand the students 150 4.2. Recognition of the teachers orientation 153 4.3. Teachers recognition of her purpose 156 5. Discussion 158 CHAPTER โ…ค. SUMMARY AND DISCUSSION 166Docto

    A Case of Benign Parotid Tumor Misdiagnosed for Parotid Cancer on Preoperative Cytology

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    Fine needle aspiration cytology as a diagnostic workup of parotid gland tumor is a simple and useful method. Although fine needle aspiration cytology could not predict accurate diagnosis in all cases, it is usually helpful in differentiating malignancy and benign lesions. A 35-year-old female was found to have a parotid mass for 1 year. Preoperative evaluation including computed tomography and magnetic resonance imaging were non-diagnostic, but, fine needle aspiration cytology on parotid mass showed the suspicion of a low-grade mucoepidermoid carcinoma. Superficial parotidectomy and selective neck node dissection were done based on cytology. However, final pathological examination confirmed benign pleomorphic adenoma. Here, the diagnostic accuracy and cautions in interpretation of result of fine needle aspiration cytology is discussed with respect to the case.ope

    A validated single-cell-based strategy to identify diagnostic and therapeutic targets in complex diseases

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    BACKGROUND: Genomic medicine has paved the way for identifying biomarkers and therapeutically actionable targets for complex diseases, but is complicated by the involvement of thousands of variably expressed genes across multiple cell types. Single-cell RNA-sequencing study (scRNA-seq) allows the characterization of such complex changes in whole organs. METHODS: The study is based on applying network tools to organize and analyze scRNA-seq data from a mouse model of arthritis and human rheumatoid arthritis, in order to find diagnostic biomarkers and therapeutic targets. Diagnostic validation studies were performed using expression profiling data and potential protein biomarkers from prospective clinical studies of 13 diseases. A candidate drug was examined by a treatment study of a mouse model of arthritis, using phenotypic, immunohistochemical, and cellular analyses as read-outs. RESULTS: We performed the first systematic analysis of pathways, potential biomarkers, and drug targets in scRNA-seq data from a complex disease, starting with inflamed joints and lymph nodes from a mouse model of arthritis. We found the involvement of hundreds of pathways, biomarkers, and drug targets that differed greatly between cell types. Analyses of scRNA-seq and GWAS data from human rheumatoid arthritis (RA) supported a similar dispersion of pathogenic mechanisms in different cell types. Thus, systems-level approaches to prioritize biomarkers and drugs are needed. Here, we present a prioritization strategy that is based on constructing network models of disease-associated cell types and interactions using scRNA-seq data from our mouse model of arthritis, as well as human RA, which we term multicellular disease models (MCDMs). We find that the network centrality of MCDM cell types correlates with the enrichment of genes harboring genetic variants associated with RA and thus could potentially be used to prioritize cell types and genes for diagnostics and therapeutics. We validated this hypothesis in a large-scale study of patients with 13 different autoimmune, allergic, infectious, malignant, endocrine, metabolic, and cardiovascular diseases, as well as a therapeutic study of the mouse arthritis model. CONCLUSIONS: Overall, our results support that our strategy has the potential to help prioritize diagnostic and therapeutic targets in human disease.ope

    ์„คํƒ•๋Œ€์ฒด์ œ๋กœ์„œ ๋งํ‹ฐํ†จ๊ณผ ์ž์ผ๋ฆฌํ†จ์˜ ์น˜์•„ํ‘œ๋ฉด ์žฌ๊ด‘ํ™” ํšจ๊ณผ์™€ ์ฟ ํ‚ค์—์˜ ์‘์šฉ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‹ํ’ˆ์˜์–‘ํ•™๊ณผ, 2012. 8. ํ™ฉ์ธ๊ฒฝ.์น˜์•„์šฐ์‹์ฆ์€ ์น˜์•„์—์„œ ์ˆ˜์‚ฐํ™”์ธํšŒ์„์ด ์‚ฐ์— ์˜ํ•˜์—ฌ ๋ถ„ํ•ด๋˜์–ด ํƒ€์•ก ๋‚ด๋กœ ๋…น์•„๋‚˜์˜ค๋Š” ๊ณผ์ •๊ณผ ํƒ€์•ก ๋‚ด ๋ฌด๊ธฐ์„ฑ๋ถ„์ด ์น˜๋ฉด์— ์นจ์ฐฉ๋˜๋Š” ๊ณผ์ •์˜ ๊ท ํ˜•์ด ๊นจ์–ด์ ธ์„œ ๋‚˜ํƒ€๋‚˜๋Š” ์งˆํ™˜์œผ๋กœ, ์žฌ๊ฒฐ์ •ํ™”์™€ ๊ด‘์งˆ์ดํƒˆ ํ˜„์ƒ์ด ๊ฐ€์—ญ ์ ์œผ๋กœ ๋ฐœ์ƒ๋˜๋ฏ€๋กœ, ์ด๋•Œ๋ณด๋‹ค ๋งŽ์€ ์žฌ๊ด‘ํ™”(ๅ†้‘›ๅŒ–)๋ฅผ ์œ ๋„ํ•  ์ˆ˜ ์žˆ๋Š” ์ ์ ˆํ•œ ์กฐ์น˜๋ฅผ ์ทจํ•œ๋‹ค๋ฉด ์น˜์•„์šฐ์‹์ฆ์€ ์˜ˆ๋ฐฉ๋  ์ˆ˜ ์žˆ๋‹ค. ์น˜์•„์šฐ์‹์ฆ์˜ ์ธก๋ฉด์—์„œ ๋ณผ ๋•Œ ์ธ„์ž‰๊ปŒ์„ ์ €์ž‘ํ•˜๋Š” ํ–‰์œ„๋Š” ์น˜๋ฉด์„ ๋ฌผ๋ฆฌ์ ์œผ๋กœ ๋‹ฆ์•„๋‚ด๋Š” ํšจ๊ณผ๊ฐ€ ์žˆ์–ด์„œ ์น˜์•„์šฐ์‹ ์˜ˆ๋ฐฉํšจ๊ณผ๋ฅผ ๋‚˜ํƒ€๋‚ผ ๊ฐ€๋Šฅ์„ฑ์ด ๊ธฐ๋Œ€๋˜๋‚˜, ๊ปŒ์— ๋ฐฐํ•ฉ๋˜๋Š” ๋‹น๋ถ„์œผ๋กœ ์ธํ•˜์—ฌ ์˜คํžˆ๋ ค ์น˜์•„์šฐ์‹์ฆ ๋ฐœ์ƒ์„ ์ด‰์ง„ํ•˜๋Š” ํšจ๊ณผ๊ฐ€ ์šฐ๋ ค๋˜๊ธฐ๋„ ํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์ž์ผ๋ฆฌํ†จ ๋“ฑ์˜ ๋‹น์•Œ์ฝœ์ด ๊ปŒ์†์˜ ์„คํƒ•์„ฑ๋ถ„์„ ๋Œ€์ฒดํ•จ์œผ๋กœ์จ ์ธ„์ž‰๊ปŒ์œผ๋กœ ์ธํ•œ ์น˜์•„์šฐ์‹ ๋ฐœ์ƒ์šฐ๋ ค๋Š” ๊ฐ์†Œ๋˜๋Š” ์ถ”์„ธ์— ์žˆ์œผ๋ฉฐ, ์ผ๋ถ€ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹น์•Œ์ฝœ์ด ๋ฐฐํ•ฉ๋œ ์ธ„์ž‰๊ปŒ์„ ์ €์ž‘ํ•จ์œผ๋กœ์จ ์น˜์•„ ๋ฒ•๋ž‘์งˆ ํ‘œ๋ฉด์˜ ์žฌ๊ด‘ํ™” ํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚ฌ๋‹ค๋Š” ๋ณด๊ณ ๊ฐ€ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์ž์ผ ๋ฆฌํ†จ๊ณผ ๊ฐ™์€ ๋‹น์•Œ์ฝœ์— ๋น„ํ•˜์—ฌ ๋งํ‹ฐํ†จ์„ ๋ฐฐํ•ฉํ•œ ์ธ„์ž‰๊ปŒ์„ ์ €์ž‘ํ•˜์˜€์„ ๋•Œ ์น˜์•„ ๋ฒ•๋ž‘์งˆ ํ‘œ๋ฉด์˜ ์žฌ๊ด‘ํ™” ํšจ๊ณผ์— ๋Œ€ํ•ด ๋ณด๊ณ ๋œ ๋ฐ”๋Š” ๊ฑฐ์˜ ์—†์œผ๋ฉฐ, ๊ฐ ๊ฐœ๋ณ„์„ฑ๋ถ„์˜ ํšจ๊ณผ์— ๋Œ€ํ•ด์„œ๋„ ์‚ฐ๋ฐœ์ ์ธ ๊ฒฐ๊ณผ๋งŒ์ด ์†Œ์ˆ˜ ๋ณด๊ณ ๋˜์—ˆ์„ ๋ฟ์ด๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋งํ‹ฐํ†จ, ์ž์ผ๋ฆฌํ†จ, ์„คํƒ•, ๊ปŒ๋ฒ ์ด์Šค๋ฅผ ๋ฐฐํ•ฉํ•œ ๊ปŒ์˜ ์ €์ž‘์ด ์น˜์•„๋ฒ•๋ž‘์งˆ์˜ ๋ฏธ์„ธ๊ฒฝ๋„๋ณ€ํ™” ๋ฐ ํƒ€์•ก๊ณผ ์น˜๋ฉด ์„ธ๊ท ๋ง‰ ๋‚ด์˜ streptococcus mutans์ˆ˜์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ๋ฅผ ์ธก์ • ๋น„๊ตํ•จ์œผ๋กœ์จ ์น˜์•„ํ‘œ๋ฉด์˜ ์žฌ๊ด‘ํ™” ํšจ๊ณผ๋ฅผ ๊ฒ€ํ† ํ•˜์˜€๋‹ค. 4๊ฐ€์ง€ ์‹คํ—˜๊ปŒ์€ ๊ปŒ๋ฒ ์ด์Šค, ๋งํ‹ฐํ†จ, ์ž์ผ๋ฆฌํ†จ, ์„คํƒ•์— ํŽ˜ํผ๋ฏผํŠธ, ๋ฉ˜ํ†จ, ๊ฒ€์•„๋ผ๋น…, ๊ธ€๋ฆฌ์„ธ๋กค, ์†Œ์ด๋ ˆ์‹œํ‹ด, ์—ฐํ™”์ œ๋ฅผ ๋ฐฐํ•ฉํ•œ ํ›„ ์ƒ‰, ํ–ฅ์„ ์ฒจ๊ฐ€ ํ•˜์—ฌ ๋™์ผํ•œ ํฌ๊ธฐ๋กœ ์ œ์กฐํ•˜์˜€๋‹ค. 24๋ช…์˜ ์‹คํ—˜๋Œ€์ƒ์ž๋ฅผ 4๊ตฐ (์‹คํ—˜๊ตฐ: ๋งํ‹ฐํ†จ๊ตฐ, ์ž์ผ๋ฆฌํ†จ๊ตฐ, ์„คํƒ•๊ตฐ, ๋Œ€์กฐ๊ตฐ: ๊ปŒ๋ฒ ์ด์Šค๊ตฐ)์œผ๋กœ ๋‚˜๋ˆ„์–ด ๊ตฌ๊ฐ• ๋‚ด ์œ ์ง€์žฅ์น˜์— ๊ด‘์งˆ์ดํƒˆ์‹œํ‚จ ์šฐ์น˜์‹œํŽธ 3๊ฐœ๋ฅผ ์žฅ์ฐฉํ•œ ์ƒํƒœ์—์„œ ๋งํ‹ฐํ†จ, ์ž์ผ๋ฆฌํ†จ, ์„คํƒ•์„ ํ•จ์œ ํ•œ ๊ฐ๊ฐ์˜ ๊ปŒ์„ ์ •๊ทœ์‹์‚ฌ ์‚ฌ์ด์— ํ•˜๋ฃจ์— 7ํšŒ (9์‹œ, 11์‹œ, 13์‹œ, 15์‹œ, 17์‹œ, 19์‹œ, 21์‹œ, 2์‹œ๊ฐ„ ๊ฐ„๊ฒฉ, 1ํšŒ ์ €์ž‘ ๋ถ„๋Ÿ‰: 2์ •, 1ํšŒ ์ €์ž‘์‹œ๊ฐ„: 5๋ถ„, ์ด 12์ •/1์ผ) 1์ฃผ๊ฐ„ ์ €์ž‘ํ•˜๊ฒŒ ํ•˜๊ณ , 1์ฃผ๊ฐ„์˜ ํœด์ง€๊ธฐ๋ฅผ ๋‘์–ด ๊ตฌ๊ฐ•์ƒํƒœ๋ฅผ ์•ˆ์ •ํ™”์‹œ์ผฐ๋‹ค. ๊ปŒ์„ ์ €์ž‘ํ•œ ํ›„ ๋ฏธ์„ธ๊ฒฝ๋„, streptococcus mutans ์˜ ๋ณ€ํ™”๋ฅผ ์ธก์ •ํ•˜๊ณ , ์ฃผ์‚ฌ์ „์ž ํ˜„๋ฏธ๊ฒฝ๊ณผ ๊ณต์ดˆ์  ๋ ˆ์ด์ €์ „์žํ˜„๋ฏธ๊ฒฝ์œผ๋กœ ์น˜์•„ํ‘œ๋ฉด์˜ ์ƒํƒœ๋ฅผ ๊ด€์ฐฐํ•˜์˜€๋‹ค. ๋˜ํ•œ,ใ€€์ฟ ํ‚ค์—์„œ ์„คํƒ•์˜ ๋Œ€์ฒด๊ฐ€๋Šฅ์„ฑ์„ ์•Œ์•„๋ณด๊ธฐ ์œ„ํ•˜์—ฌ ์ž์ผ๋ฆฌํ†จ์ด๋‚˜ ๋งํ‹ฐํ†จ์„ ๊ฐ๊ฐ ์„คํƒ•์— ๋Œ€ํ•˜์—ฌ 25%, 50%, 75%, 100% ๋Œ€์ฒดํ•˜์—ฌ ์ฟ ํ‚ค๋ฅผ ์ œ์กฐํ•œ ํ›„ ์ฟ ํ‚ค์˜ ๋ฌผ๋ฆฌ์  (ํผ์ง์„ฑ, ์ƒ‰๋„, ์กฐ์ง๊ฐ, ์ฃผ์‚ฌ์ „์žํ˜•๋ฏธ๊ฒฝ), ๊ด€๋Šฅ์  ํŠน์„ฑ (์ •๋Ÿ‰์  ๋ฌ˜์‚ฌ๋ถ„์„)์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์‚ดํŽด๋ณด์•˜๋‹ค๏ผŽ (1)๋งํ‹ฐํ†จ์ด๋‚˜ ์ž์ผ๋ฆฌํ†จ ๋ฐฐํ•ฉ๊ปŒ์„ 7์ผ๊ฐ„ ์ €์ž‘ํ•œ ๊ฒฐ๊ณผ, ์„คํƒ•๊ปŒ์— ๋น„ํ•˜ ์—ฌ ์น˜์•„ํ‘œ๋ฉด์˜ ๋ฏธ์„ธ๊ฒฝ๋„(่ผ•ๅบฆ)๊ฐ€ ์ฆ๊ฐ€๋˜์—ˆ๋‹ค (p<0.001). (2)๋งํ‹ฐํ†จ์ด๋‚˜ ์ž์ผ๋ฆฌํ†จ ๋ฐฐํ•ฉ๊ปŒ์„ ์ €์ž‘ ํ›„ ๊ณต์ดˆ์ ๋ ˆ์ด์ €์ฃผ์‚ฌ ํ˜„๋ฏธ๊ฒฝ ์œผ๋กœ ์น˜์•„ํ‘œ๋ฉด์„ ๊ด€์ฐฐํ•œ ๊ฒฐ๊ณผ ์„คํƒ•๊ปŒ์— ๋น„ํ•˜์—ฌ ์‹œํŽธ์˜ ํ‘œ๋ฉด ์กฐ๋„ (็…งๅบฆ)๊ฐ€ ๊ฐ์†Œํ•˜์˜€๋‹ค (p<0.001). (3)์‹คํ—˜๊ตฐ๊ณผ ๋Œ€์กฐ๊ตฐ๊ปŒ์„ ์ €์ž‘ ํ›„ ์น˜์•„ํ‘œ๋ฉด์„ ์ฃผ์‚ฌ์ „์žํ˜„๋ฏธ๊ฒฝ (่ตฐไฝฟ้›ป ๅญ้กฏๅพฎ้ก)์œผ๋กœ ๊ด€์ฐฐํ•œ ๊ฒฐ๊ณผ ๋งํ‹ฐํ†จ, ์ž์ผ๋ฆฌํ†จ, ๊ปŒ๋ฒ ์ด์Šค ๋ฐฐํ•ฉ๊ปŒ์˜ ์†์ƒ๋œ ๋ฒ•๋ž‘์†Œ์ฃผ๊ตฌ์กฐ(็บ็‘ฏๅฐๆŸฑๆง‹้€ )๊ฐ€ ์„คํƒ•๊ปŒ์— ๋น„ํ•˜์—ฌ ๋” ๋งŽ์ด ๋ณต๊ตฌ๋˜์—ˆ๋‹ค (p<0.001). (4)๋งํ‹ฐํ†จ, ์ž์ผ๋ฆฌํ†จ ๋ฐฐํ•ฉ๊ปŒ์€ ์„คํƒ•๊ปŒ์— ๋น„ํ•ด streptococcus mutans์˜ ์ˆ˜๋ฅผ ๊ฐ์†Œ์‹œ์ผœ ์น˜์•„๋ฒ•๋ž‘์งˆ์˜ ์žฌ๊ด‘ํ™” ํšจ๊ณผ๊ฐ€ ์žˆ์—ˆ๋‹ค (p<0.001). (5)100% ๋งํ‹ฐํ†จ ๋Œ€์ฒด์ฟ ํ‚ค์˜ ํผ์ง์„ฑ์ด ๊ฐ€์žฅ ์ปธ๊ณ , 50% ๋งํ‹ฐํ†จ๊ณผ 25% ์ž์ผ๋ฆฌํ†จ ๋Œ€์ฒด์ฟ ํ‚ค์˜ ํผ์ง์„ฑ์€ ์„คํƒ•์ฟ ํ‚ค์™€ ์œ ์‚ฌํ–ˆ์œผ๋ฉฐ, ๋Œ€์ฒด๋น„๊ฐ€ ๋‚ฎ์•„์งˆ์ˆ˜๋ก ํผ์ง์„ฑ์ด ์ค„์–ด๋“ค์—ˆ๋‹ค (p<0.001). (6)๋น„ํ™˜์›์„ฑ์ด๊ณ  ์—ด์•ˆ์ •์„ฑ์ด ๋†’์€ ๋งํ‹ฐํ†จ์ด๋‚˜ ์ž์ผ๋ฆฌํ†จ ๋Œ€์ฒด์ฟ ํ‚ค์˜ ํ‘œ๋ฉด์ƒ‰์ด ์„คํƒ• ์ฟ ํ‚ค๋ณด๋‹ค ์—ฐํ–ˆ์œผ๋ฉฐ, ๋งํ‹ฐํ†จ๊ณผ ์ž์ผ๋ฆฌํ†จ์˜ ๋Œ€์ฒด๋น„๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ์ ์ƒ‰๋„์™€ ํ™ฉ์ƒ‰๋„๋Š” ๊ฐ์†Œํ•˜๊ณ , ๋ช…๋„๋Š” ์ฆ๊ฐ€ํ•˜์˜€๋‹ค (p<0.001). (7)๋งํ‹ฐํ†จ์ด๋‚˜ ์ž์ผ๋ฆฌํ†จ์˜ ๋Œ€์ฒด๋น„๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ํ…์Šค์ณ๋Š” ๊ฐ์†Œํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋‚˜ํƒ€๋‚ด์—ˆ๊ณ , 75% ์ž์ผ๋ฆฌํ†จ ๋Œ€์ฒด์ฟ ํ‚ค๋Š” ์„คํƒ•์ฟ ํ‚ค์˜ ํ…์Šค์ณ ์™€ ์œ ์‚ฌํ•˜์˜€๋‹ค (p<0.001). (8)75% ๋งํ‹ฐํ†จ ๋Œ€์ฒด์ฟ ํ‚ค์˜ ๋ฐ”์‚ญํ•จ, ๋ถ€๋“œ๋Ÿฌ์›€, ๋‹จ๋ง›, ํ–ฅ๋ฏธ, ๋’ท๋ง›์€ ์„คํƒ•์ฟ ํ‚ค์™€ ์œ ์‚ฌํ•œ ๊ฒฝํ–ฅ์„ ๋‚˜ํƒ€๋‚ด์—ˆ๋‹ค (p<0.001). ๋งํ‹ฐํ†จ๊ณผ ์ž์ผ๋ฆฌํ†จ์„ ๋ฐฐํ•ฉํ•œ ๊ปŒ์„ ์ €์ž‘ํ•œ ๊ฒฐ๊ณผ ์„คํƒ•๊ปŒ(๋Œ€์กฐ๊ตฐ)์— ๋น„ํ•˜์—ฌ ๊ด‘์งˆ์ดํƒˆ ๋ฒ•๋ž‘์งˆ(็‹‚็–พ๏งช่„ซ็บ็‘ฏ่ณช) ํ‘œ๋ฉด๊ตฌ์กฐ์˜ ํšŒ๋ณต์ •๋„์™€ ๋ฏธ์„ธ ๊ฒฝ๋„๋ฅผ ์ฆ๊ฐ€์‹œํ‚ค๊ณ , Streptococcus mutans ์˜ ์ˆ˜๋ฅผ ๊ฐ์†Œ์‹œ์ผœ ์น˜์•„ํ‘œ๋ฉด์˜ ์žฌ๊ด‘ํ™” ํšจ๊ณผ๊ฐ€ ์žˆ์—ˆ์œผ๋ฉฐ, 75%๋งํ‹ฐํ†จ ์ฒจ๊ฐ€์ฟ ํ‚ค๋Š” ์„คํƒ•์ฟ ํ‚ค์™€ ์œ ์‚ฌํ•œ ๋ฌผ๋ฆฌ์ , ๊ด€๋Šฅ์  ํŠน์„ฑ์„ ๊ฐ€์ง€๊ณ  ์žˆ์–ด ์ฟ ํ‚ค์˜ ์ œ์กฐ์— ์ ํ•ฉํ•˜์˜€๋‹ค.The purpose of this study was to investigate the remineralization effects of chewing gum containing maltitol, xylitol and sugar through clinical trials and to determine the applicability of maltitol and xylitol as sugar substitute in cookies through physical measurements and sensory evaluation. Twenty four volunteers were subjected to use an acrylic mandibular removable appliance, which was mounted with enamel specimens in the recesses of the lingual surface, and to chew 2 gum pellets for 5 minutes at a time and 7 times a day (at 9:00, 11:00, 13:00, 15:00, 17:00, 19:00, 21:00, 2 hours intervals). After each test week, there was a 7 day-washout period, in which the subjects could follow their own personal oral hygiene measures with the allocated toothpaste and toothbrush. In order to evaluate the remineralization effect of the gum chewed on the enamel specimens, Vickers' microhardness measurement, SEM (scanning electronic microscopy), and CLSM (confocal laser scanning microscopy) were conducted just after gum chewing. The results were as follows: The Vickers' microhardness of the enamel specimens that chewed the experimental chewing gum containing maltitol or xylitol was significantly higher than that of the sugar gum (p<0.001). The surface roughness of the enamel specimens that chewed the experimental chewing gum containing maltitol or xylitol was significantly lower than that of the control (p<0.001). Unlike those images for the sugar gum, the images for the confocal micro-radiography and SEM of the enamel specimens that chewed gums containing maltitol, xylitol, or gum base only showed the remineralization effect (p<0.001). The SM (Streptococcus mutans) score showed the inhibition effect of the gums containing maltitol or xylitol compared to that of the sugar gum (p<0.05). Application of maltitol or xylitol as a possible substitution for sucrose in cookies was investigated. The characteristics of the cookies prepared with a maltitol or xylitol substitute at 25, 50, 75, and 100% of sucrose were investigated by physical tests (spread ratio, color profile, hardness, and SEM) and sensory evaluation. The results were as follows: the spread ratios of cookies with 50% maltitol and 25% xylitol substitution were similar to that of sucrose cookies (p<0.001). As the substitution level of the maltitol or xylitol increased, the a*(redness) and b*(yellowness) value decreased and the L* (lightness) value of the cookies increased (p<0.001). As the substitution level of the maltitol increased, the hardness of the cookies tended to decrease (p<0.001). The brittleness, softness, sweetness, flavor and aftertaste (sweetness and non-sweetness) of the 75% maltitol-substituted cookies were similar to those of the sucrose cookies by the QDA (quantitative descriptive analysis) profile (p<0.001). These results showed that the gums containing maltitol or xylitol were more effective in the remineralization than that of sucrose. Cookies that maltitol or xylitol substituted for sucrose were of good quality and comparable to the sucrose cookies. Especially, the characteristics of the 75% maltitol-substituted cookies were similar to that of the sucrose cookies and superior to the other cookies that had used various levels of sugar alcohol. Therefore, it is recommended that 75% maltitol cookie could be used as sugar cookie substitute.Abstract i Table of Contents iv List of Tables viii List of Figures ix List of Abbreviations xi Chapter 1. Literature review 1 1.1 Sugar and sugar alcohols 2 1.1.1 Xylitol 5 1.1.1.1 Definition 5 1.1.1.2 Production 6 1.1.1.3 Properties 6 1.1.1.4 Dietary use worldwide 7 1.1.1.5 Safety 7 1.1.1.6 Application for dental care 8 1.1.2 Maltitol 10 1.1.2.1 Definition 10 1.1.2.2 Production 11 1.1.2.3 Metabolism 11 1.1.2.4 Safety 12 1.1.2.5 Multiple ingredient approach for calorie control 13 1.1.2.6 Benefits 14 1.1.2.7 Laxative effects 14 1.1.2.8 Future 15 1.2 Sugar alcohol and health 16 1.3 Sugar alcohol and dental caries 17 Chapter 2. Remieneralization effect of maltitol and xylitol on tooth surface 21 2.1 Introduction 22 2.2 Material & methods 30 2.2.1 Subjects 30 2.2.2 Study design 30 2.2.3 Chewing gum 31 2.2.4 In-situ remineralization measurement 33 2.2.4.1 Preparation of bovine enamel specimens 34 2.2.4.2 Artificial incipient lesion using pH-cycling 34 2.2.4.3 Preparation of removable appliance 35 2.2.4.4 Surface microhardness analysis 37 2.2.4.5 CLSM (confocal laser scanning microscopy) & SEM (scanning electronic microscopy) 39 2.2.5 Microbiological test 40 2.2.5.1 Saliva sampling 40 2.2.5.2 The changes of S. mutans 40 2.2.6 Statistical analysis 42 2.3 Results 43 2.3.1 Surface microhardness 43 2.3.2 Confocal microscopy 45 2.3.3 SEM (scanning electronic microscopy) 49 2.3.4 Microbiological test 52 2.4 Discussion 53 Chapter 3. Application of xylitol and maltitol to cookie as sugar substitute 60 3.1. Introduction 61 3.2. Materials & methods 64 3.2.1 Preparation of cookie 64 3.2.2 Spread ratio 66 3.2.3 Color profile 66 3.2.4 Hardness by probing test 67 3.2.5 SEM (scanning electronic microscopy) 68 3.2.6 Sensory evaluation 68 3.2.7 Statistical analysis 69 3.3. Results 71 3.3.1 Appearance 71 3.3.2 Physical measurement 72 3.3.2.1 Spread ratio 72 3.3.2.2 Color profile 74 3.3.2.3 Hardness by probing test 76 3.3.2.4 SEM 78 3.3.3. Sensory evaluation 81 3.3.3.1 Surface color 81 3.3.3.2 Surface smoothness 81 3.3.3.3 Hardness 82 3.3.3.4 Brittleness 82 3.3.3.5 Softness 83 3.3.3.6 Sweetness 83 3.3.3.7 Flavor 84 3.3.3.8 Aftertaste of sweetness 84 3.3.3.9 Aftertaste of non-sweetness 85 3.3.3.10 Correlation between physical properties 88 3.3.3.11 Correlation between sensory properties 89 3.3.3.12 QDA profiles of cookies 91 3.4 Discussion 93 Chapter 4. Conclusions 98 Chapter 5. References 101 Korean abstract 116Docto

    TRPV1 ์˜ ๋น„๋งŒ ๋ฐ ๋ ™ํ‹ด/์ธ์Š๋ฆฐ ์ €ํ•ญ์„ฑ์—์˜ ์—ญํ• ๊ณผ ๊ทธ ์ž‘์šฉ๊ธฐ์ž‘ ๊ทœ๋ช…

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋†์ƒ๋ช…๊ณตํ•™๋ถ€(๋ฐ”์ด์˜ค๋ชจ๋“ˆ๋ ˆ์ด์…˜์ „๊ณต), 2014. 2. ์ดํ˜•์ฃผ.According to prevalence of obesity and its-associated metabolic disorders worldwide, these diseases become severe and global health problem. Obesity defined as a condition accumulated excess fat mass bodily is a hall marker and major cause of metabolic diseases such as cardiovascular disease, stroke, and type 2 diabetes (T2D). Because obesity and T2D patients have dramatically higher risks of cardiovascular disease, the most common cause of death in Western countries, an increase in the prevalence of obesity and diabetes in the population is one of the most serious problems of modern society. Thus, the prevention and treatment of obesity and T2D become more and more important. Insulin resistance, an attenuated or lack of response of the insulin receptor (IR) and its downstream signaling pathway to insulin stimulation even at high doses of insulin, is a representative characteristic of T2D. Although insulin resistance is caused by inflammation, oxidative stress, ER stress, and mitochondrial dysfunction, the specific mechanisms which lead from obesity to T2D is still unclear. Recent evidences have been clearly showed that capsaicin, a pungent component of chili peppers, play a crucial role in obesity and metabolic disorders. Administration of capsaicin prevents obesity and improves glucose homeostasis and insulin secretion in small rodents and humans. Several previous studies have reported supportive clinical evidence that consumption of red peppers or capsaicin was shown to decrease appetite, cause weight loss and stimulate thermogenesis caused by substrate oxidation from carbohydrate to fat oxidation. However, the role of its receptor, transient receptor potential vanilloid subfamily type 1 (TRPV1), in development of obesity and its- associated insulin resistance is controversial, which suggests that its specific function and mechanistic studies in metabolic disorders are poorly understood. Here, I examined the effect of TRPV1, capsaicin receptor, on diet-induced obesity and insulin resistance in mice. TRPV1-deficient mice became more obese and get more fat accumulation on high-fat diet (HFD) feeding than wild-type (WT) mice. These results were caused by reduced locomotor activity in TRPV1 KO mice fed HFD for 5 weeks. In TRPV1 KO mice, plasma leptin levels were decreased. Although leptin up-regulates locomotor activity as well as energy expenditure, TRPV1 KO mice showed decreased activity and no changes in energy expenditure compared to WT mice, suggesting severe leptin resistance in TRPV1 KO mice fed HFD. All of these results indicated that TRPV1 is a regulator of energy balance and development of leptin resistance in obese mice. In addition, TRPV1 deletion accelerates diet-induced insulin resistance. Insulin-stimulated glucose uptake in adipose tissues and heart was significantly diminished in HFD-fed TRPV1 KO mice. As one of the major causes of inflammation, oxidative stress and mitochondrial dysfunction, aging has been showed to induce obesity and insulin resistance. Deletion of TRPV1 in mice accelerated aging-induced weight gain and insulin resistance. Unlike the results fed HFD, aging promoted hepatic insulin resistance in TRPV1 KO mice compared to WT mice. Thus, these results provide new insight into the involvement of TRPV1 in development of obesity and insulin resistance and promising strategy against their pathogenesis.Contents Abstract i Contents v Chapter 1. Metabolic syndrome, transient receptor potential vanilloid subfamily type 1, and its agonists in food: A Review 1 Abstract 2 1.1. Introduction 4 1.2. Development of metabolic diseases 6 1.2.1. Obesity 6 1.2.2. Hyperglycemia, insulin resistance and type 2 diabetes 7 1.2.3. Hyperlipidemia, hyperleptinemia and Leptin resistance 9 1.3. Molecular mechanisms of TRPV1 and capsaicin in metabolic disease 14 1.3.1. Capsaicin receptor: Transient receptor potential vanilloid subfamily type 1 14 1.3.2. In obesity : adipogenesis and thermogenesis 15 1.3.3. In diabetes mellitus: insulin secretion and resistance 18 1.4. Conclusions 19 1.5. References 20 Chapter 2. TRPV1 is a regulator of energy homeostasis and leptin resistance 30 Abstract 31 2.1. Introduction 33 2.2. Materials and Methods 36 2.2.1. Animals 36 2.2.2. Body composition and energy balance measurement 36 2.2.3. Leptin/adiponectin ELISA assay 37 2.2.4. Leptin infusion study 37 2.2.5. Leptin signaling in primary cultured mouse embryonic fibloblasts (MEFs) 38 2.2.6. Leptin stimulation study 38 2.2.7. Western blotting 39 2.2.8. Statistical analysis 40 2.3. Results 41 2.3.1. Deletion of TRPV1 induces higher accumulation of fat and obesity during HFD feeding 41 2.3.2. TRPV1-deficient mice decreases locomoter activity 41 2.3.3. Deletion of TRPV1 induces increased plasma leptin levels compared to WT mice after HFD 43 2.3.4. Negative correlation between leptin and physical activity/energy expenditure in TRPV1 KO mice fed HFD 46 2.3.5. Impaired TRPV1 channel promotes leptin resistance in mice fed HFD 48 2.3.6. Deletion of TRPV1 induces blunted leptin signaling in MEFs and mice 51 2.4 Discussion 57 2.5. References 59 Chapter 3. TRPV1 deficiency deteriorates diet-induced obesity and insulin resistance in mice 70 Abstract 71 3.1. Introduction 72 3.2.Materials and methods 75 3.2.1. Animals. 75 3.2.2. Body composition 75 3.2.3. Hyperinsulinemic-euglycemic clamp 75 3.2.4. Biochecmical analysis and calculation 76 3.2.5. Plasma insulin measurement 77 3.2.6. Glucose uptake assay 78 3.2.7. Western blotting 78 3.2.8. Statistical analysis 79 3.3. Results 80 3.3.1. HFD-induced obesity and insulin resistance are worsed by deletion of TRPV1 80 3.3.2. Deletion of TRPV1 did not affect on impared insulin action in liver and skeletal muscle 82 3.3.3. Deletion of TRPV1 reduces glucose uptake into adipose tissues and heart 84 3.3.4. TRPV1 deficiency induces impaired insulin signaling in WAT after HFD feeding in mice 86 3.4. Discussion 91 3.5. References 94 Chapter 4. Deficiency of TRPV1 accelerates aging-induced obesity and insulin resistance in vivo 99 Abstract 100 4.1. Introduction 102 4.2.Materials and methods 105 4.2.1. Animals 105 4.2.2. Body composition 105 4.2.3. Energy balance measurement 105 4.2.4. Hyperinsulinemic-euglycemic clamp 106 4.2.5. Biochemical analysis and calculation 107 4.2.6. Glucose uptake assay 108 4.2.7. Statistical analysis 108 4.3. Results 109 4.3.1. TRPV1-deficiency accelerates aging-induced obesity in mice 109 4.3.2. TRPV1-deletion reduces energy expenditure 109 4.3.3. Deletion of TRPV1 promotes aging-induced insulin resistance 113 4.3.4. Deletion of TRPV1 aggrevates aging-induced impaired insulin sensitivity in liver 116 4.3.5. Deletion of TRPV1 have no effect on glucose uptake levels in adipose tissues, muscle, and heart 116 4.4. Discussion 120 4.5. References 123 Chapter 5. Conclusions 127 5.1 Deterioration of diet-induced obesity and leptin resistance in TRPV1 deficient mice 128 5.2 Deterioration of diet- and aging-induced obesity and insulin resistance in TRPV1 deficient mice 130 5.3 Discussion 132 5.4 References 137 ๊ตญ๋ฌธ์ดˆ๋ก 140 Acknowledgement 143Docto

    Radiation Inhibits Interleukin-12 Production via Inhibition of C-Rel through the Interleukin-6/ Signal Transducer and Activator of Transcription 3 Signaling Pathway in Dendritic Cells.

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    Radiotherapy (RT) is a potent anti-tumor modality. However, unwanted effects including increased recurrence and metastasis that involve factors such as cytokines, which induce complex molecular mechanisms, have also been reported. In a previous study, we showed that interleukin (IL)-12 and radiotherapy combination treatment suppressed tumor growth and metastasis in a hepatoma mouse model. In this study, we investigated the mechanism underlying the IL-12 anti-tumor effect during radiotherapy. In tumor-bearing mice, irradiation decreased IL-12 expression in the tumors and spleens. However, a number of dendritic cells infiltrated into the tumors in which IL-12 expression did not decrease. To further study the underlying detailed mechanism for this decrease in IL-12, LPS-stimulated bone marrow-derived dendritic cells (BMDCs) were irradiated, and then IL-12- and IL-6-associated molecules were examined in irradiated tumors and BMDCs. Irradiation resulted in IL-12 suppression and IL-6 increase. IL-6 and signal transducer and activator of transcription 3 (STAT3) inhibitors restored the irradiation-induced IL-12 decrease via suppression of C-Rel activation. Taken together, our study suggests that irradiation-induced IL-6 can decrease IL-12 production through the inhibition of C-Rel phosphorylation by the IL-6/STAT3 signaling pathway.ope
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