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    ํ˜ˆ์ฒญํ•™์  ๊ฒฐํ•ต ์ง„๋‹จ๋ฒ•์˜ ์œ ์šฉ์„ฑ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์˜๊ณผ๋Œ€ํ•™ ์˜ํ•™๊ณผ, 2021. 2. ๊ตญ์œคํ˜ธ.Background: Tuberculosis remains a major public health problem. Conventional tests are inadequate to distinguish between active tuberculosis (ATB) and latent tuberculosis infection (LTBI). Serological tests offer the potential to improve diagnosis of tuberculosis (TB). This study aimed to investigate new biomarkers in the diagnosis of TB. Methods: Antibody responses to Mycobacterium tuberculosis antigens (Mycobacterium tuberculosis chorismate mutase (TBCM), antigen 85B (Ag85B), early secreted antigenโ€6 (ESAT-6), and culture filtrate proteinโ€10 (CFP-10)) and macrophage migration inhibitory factor (MIF) were measured in groups of 65 ATB, 53 LTBI, and 62 non-infected (NI) individuals. Enzyme-linked immunosorbent assay was used to measure levels of IgG and IgA from sera of study participants. The QuantiFERON-TB Gold In-Tube assay was used to diagnose LTBI. Results: IgG levels against TBCM were significantly higher in LTBI than NI subjects. IgG and IgA levels against Ag85B and IgG levels against CFP-10 were significantly higher in ATB, followed by LTBI, and then NI. When the ATB group was subdivided, IgG levels against Ag85B and CFP-10 were significantly higher in each subgroup compared with those in LTBI and NI groups. Positive correlation trends between interferon-gamma (IFN-ฮณ) and IgG levels against Ag85B, TBCM, and CFP-10 and IgA levels against Ag85B in LTBI and NI subjects were observed. Age- and sex-adjusted models showed that IgG against TBCM and CFP-10 was independently related to LTBI diagnosis, and IgG against Ag85B was independently related to the diagnosis of ATB and could distinguish between LTBI and ATB. The level of IgA against MIF was significantly lower in LTBI and ATB patients than in NI individuals and was significantly related to LTBI diagnosis, ATB, and the discrimination between LTBI and ATB. The level of IgG against MIF was significantly lower in LTBI patients than in NI individuals and was significantly related to LTBI diagnosis. Levels of IgA against MIF were significantly lower in AFB-negative TB, minimal TB, and new patients of the ATB group than in the NI group. Both IgA and IgG levels against MIF showed significant negative correlations with IFN-ฮณ levels induced in QFT-GIT test. Conclusion: Overall, IgG antibody responses to TBCM, Ag85B, and CFP-10 can discriminate among ATB, LTBI, and NI groups. Also, results suggest the possibility of using IgA antibody responses to MIF in the diagnosis of LTBI and ATB.๋ฐฐ๊ฒฝ: ๊ณต๊ณต ๋ณด๊ฑด์˜ ์ค‘๋Œ€ํ•œ ๋ฌธ์ œ์ธ ๊ฒฐํ•ต์„ ํšจ๊ณผ์ ์œผ๋กœ ๊ด€๋ฆฌํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์กฐ๊ธฐ ์ง„๋‹จ์ด ํ•„์ˆ˜์ ์ด์ง€๋งŒ, ๊ธฐ์กด ๊ฒ€์‚ฌ๋ฒ•๋“ค์€ ๊ฒ€์‚ฌ ์‹œ๊ฐ„, ๋น„์šฉ, ์ •ํ™•์„ฑ ๋ฐ ์žฌํ˜„์„ฑ์„ ํฌํ•จํ•œ ๋งŽ์€ ์ œํ•œ์ ์ด ์žˆ๋‹ค. ํ˜ˆ์ฒญํ•™์  ๊ฒ€์‚ฌ๋Š” ๊ธฐ์กด ๋ฐฉ๋ฒ•์˜ ํ•œ๊ณ„๋ฅผ ๊ฐœ์„ ํ•  ์ˆ˜ ์žˆ๋Š” ์ž ์žฌ๋ ฅ์„ ์ œ๊ณตํ•˜๋ฏ€๋กœ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํ˜ˆ์ฒญํ•™์  ๊ฒฐํ•ต ์ง„๋‹จ์— ์œ ์šฉํ•œ ์ƒˆ๋กœ์šด ์ง€ํ‘œ๋“ค์„ ๊ฐœ๋ฐœํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ฐฉ๋ฒ•: ๊ฒฐํ•ต๊ท  ํ•ญ์› (TBCM, Ag85B, ESAT-6, CFP-10) ๋ฐ ๋Œ€์‹์„ธํฌ์ด๋™์ €์ง€์ธ์ž (macrophage migration inhibitory factor, MIF)์— ๋Œ€ํ•œ ํ•ญ์ฒด ๋ฐ˜์‘์„ 65 ๋ช…์˜ ํ™œ๋™์„ฑ ๊ฒฐํ•ต, 53 ๋ช…์˜ ์ž ๋ณต ๊ฒฐํ•ต ๋ฐ 62 ๋ช…์˜ ๋น„๊ฐ์—ผ ๊ตฐ์—์„œ ์ธก์ •ํ•˜์˜€๋‹ค. ํšจ์†Œ๊ฒฐํ•ฉ๋ฉด์—ญํก์ฐฉ๊ฒ€์‚ฌ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์—ฐ๊ตฌ ์ฐธ๊ฐ€์ž์˜ ํ˜ˆ์ฒญ์—์„œ IgG ๋ฐ IgA ์ˆ˜์ค€์„ ์ธก์ •ํ•˜์˜€๋‹ค. ์ž ๋ณต ๊ฒฐํ•ต ์ง„๋‹จ์—๋Š” QuantiFERON-TB Gold In-Tube ๊ฒ€์‚ฌ๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ๊ฒฐ๊ณผ: TBCM์— ๋Œ€ํ•œ IgG ์ˆ˜์ค€์€ ๋น„๊ฐ์—ผ๊ตฐ์— ๋น„ํ•ด ์ž ๋ณต ๊ฒฐํ•ต๊ตฐ์—์„œ ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค. Ag85B์— ๋Œ€ํ•œ IgG ๋ฐ IgA ์ˆ˜์ค€๊ณผ CFP-10์— ๋Œ€ํ•œ IgG ์ˆ˜์ค€์€ ํ™œ๋™์„ฑ ๊ฒฐํ•ต ๊ตฐ์—์„œ ๊ฐ€์žฅ ๋†’์•˜๊ณ , ๋‹ค์Œ์œผ๋กœ ์ž ๋ณต ๊ฒฐํ•ต, ๋น„๊ฐ์—ผ๊ตฐ ์ˆœ์ด์—ˆ๋‹ค. ํ™œ๋™์„ฑ ๊ฒฐํ•ต๊ตฐ์„ ๊ฐ๋‹ด ํ•ญ์‚ฐ๊ท  ๋„๋ง ๊ฒ€์‚ฌ ๊ฒฐ๊ณผ, ์˜์ƒํ•™์  ์ค‘์ฆ๋„ ๋ฐ ๊ฒฐํ•ต ์น˜๋ฃŒ ๊ณผ๊ฑฐ๋ ฅ์— ๋”ฐ๋ผ ์„ธ๋ถ„ํ™”ํ•˜์˜€์„ ๋•Œ, Ag85B ๋ฐ CFP-10์— ๋Œ€ํ•œ IgG ์ˆ˜์ค€์€ ์ž ๋ณต ๊ฒฐํ•ต๊ตฐ ๋ฐ ๋น„๊ฐ์—ผ๊ตฐ์— ๋น„ํ•˜์—ฌ ํ™œ๋™์„ฑ ๊ฒฐํ•ต๊ตฐ์˜ ๊ฐ ํ•˜์œ„ ๊ตฐ์—์„œ ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค. Ag85B, TBCM ๋ฐ CFP-10์— ๋Œ€ํ•œ IgG ์ˆ˜์ค€๊ณผ Ag85B์— ๋Œ€ํ•œ IgA ์ˆ˜์ค€์€ ์ž ๋ณต ๊ฒฐํ•ต ๋ฐ ๋น„๊ฐ์—ผ๊ตฐ์—์„œ IFN-ฮณ ์ˆ˜์ค€๊ณผ ์œ ์˜ํ•œ ์–‘์˜ ์ƒ๊ด€ ๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋‹ค. ์—ฐ๋ น ๋ฐ ์„ฑ๋ณ„์„ ๋ณด์ •ํ•œ ๋ชจ๋ธ์—์„œ TBCM ๋ฐ CFP-10์— ๋Œ€ํ•œ IgG๋Š” ์ž ๋ณต ๊ฒฐํ•ต ์ง„๋‹จ๊ณผ ๋…๋ฆฝ์ ์œผ๋กœ ์œ ์˜ํ•œ ์—ฐ๊ด€์„ฑ์„ ๋ณด์˜€์œผ๋ฉฐ, Ag85B์— ๋Œ€ํ•œ IgG๋Š” ํ™œ๋™์„ฑ ๊ฒฐํ•ต ์ง„๋‹จ ๋ฐ ์ž ๋ณต๊ฒฐํ•ต๊ณผ ํ™œ๋™์„ฑ ๊ฒฐํ•ต์˜ ๊ฐ๋ณ„์ง„๋‹จ๊ณผ ๋…๋ฆฝ์ ์ธ ์—ฐ๊ด€์„ฑ์„ ๋ณด์˜€๋‹ค. MIF์— ๋Œ€ํ•œ IgA ์ˆ˜์ค€์€ ๋น„๊ฐ์—ผ๊ตฐ๋ณด๋‹ค ์ž ๋ณต ๊ฒฐํ•ต ๋ฐ ํ™œ๋™์„ฑ ๊ฒฐํ•ต๊ตฐ์—์„œ ์œ ์˜ํ•˜๊ฒŒ ๋‚ฎ์•˜์œผ๋ฉฐ, ์ž ๋ณต ๊ฒฐํ•ต ์ง„๋‹จ, ํ™œ๋™์„ฑ ๊ฒฐํ•ต ์ง„๋‹จ ๋ฐ ์ž ๋ณต๊ฒฐํ•ต๊ณผ ํ™œ๋™์„ฑ ๊ฒฐํ•ต์˜ ๊ฐ๋ณ„์ง„๋‹จ๊ณผ ์œ ์˜ํ•œ ์—ฐ๊ด€์„ฑ์„ ๋ณด์˜€๋‹ค. MIF์— ๋Œ€ํ•œ IgG ์ˆ˜์ค€์€ ๋น„๊ฐ์—ผ๊ตฐ๋ณด๋‹ค ์ž ๋ณต ๊ฒฐํ•ต๊ตฐ์—์„œ ์œ ์˜ํ•˜๊ฒŒ ๋‚ฎ์•˜์œผ๋ฉฐ ์ž ๋ณต ๊ฒฐํ•ต ์ง„๋‹จ๊ณผ ์œ ์˜ํ•œ ์—ฐ๊ด€์„ฑ์ด ์žˆ์—ˆ๋‹ค. MIF์— ๋Œ€ํ•œ IgA ์ˆ˜์ค€์€ ํ•ญ์‚ฐ๊ท  ๋„๋ง ์Œ์„ฑ ํ™œ๋™์„ฑ ๊ฒฐํ•ต, ์˜์ƒํ•™์  ๊ฒฝ์ฆ ํ™œ๋™์„ฑ ๊ฒฐํ•ต ๋ฐ ๊ฒฐํ•ต ์‹ ํ™˜์ž์—์„œ ๊ฐ๊ฐ ๋น„๊ฐ์—ผ๊ตฐ์— ๋น„ํ•˜์—ฌ ์œ ์˜ํ•˜๊ฒŒ ๋‚ฎ์•˜๋‹ค. MIF์— ๋Œ€ํ•œ IgA ๋ฐ IgG ์ˆ˜์ค€์€ IFN-ฮณ ์ˆ˜์ค€๊ณผ ์œ ์˜ํ•œ ์Œ์˜ ์ƒ๊ด€ ๊ด€๊ณ„๋ฅผ ๋‚˜ํƒ€๋‚ด์—ˆ๋‹ค. ๊ฒฐ๋ก : TBCM, Ag85B ๋ฐ CFP-10์— ๋Œ€ํ•œ IgG ํ•ญ์ฒด ๋ฐ˜์‘์€ ํ™œ๋™์„ฑ ๊ฒฐํ•ต, ์ž ๋ณต ๊ฒฐํ•ต ๋ฐ ๋น„๊ฐ์—ผ ๊ตฐ์„ ์œ ์˜ํ•˜๊ฒŒ ๊ตฌ๋ถ„ํ•˜์˜€์œผ๋ฉฐ, MIF์— ๋Œ€ํ•œ IgA ํ•ญ์ฒด ๋ฐ˜์‘์€ ์ž ๋ณต ๊ฒฐํ•ต ๋ฐ ํ™œ๋™์„ฑ ๊ฒฐํ•ต์˜ ์ง„๋‹จ๊ณผ ์œ ์˜ํ•œ ์—ฐ๊ด€์„ฑ์„ ๋ณด์—ฌ ๊ฒฐํ•ต์˜ ์ƒˆ๋กœ์šด ํ˜ˆ์ฒญํ•™์  ์ง„๋‹จ๋ฒ• ๊ฐœ๋ฐœ์„ ์œ„ํ•œ ํ™œ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ๋ณด์—ฌ์ค€๋‹ค.Chapter 1. General Introduction 1 Chapter 2 7 Diagnostic potential of IgG and IgA responses to Mycobacterium tuberculosis antigens for discrimination among active tuberculosis, latent tuberculosis infection, and nonโ€infected individuals Introduction...........................................................................8 Material and Methods..........................................................13 Results.................................................................................18 Discussion............................................................................65 Conclusion............................................................................71 Chapter 3 72 Usefulness of IgA and IgG Responses to Macrophage Migration Inhibitory Factor for Diagnosing Tuberculosis Introduction.........................................................................73 Material and Methods..........................................................77 Results.................................................................................81 Discussion..........................................................................100 Conclusion.........................................................................104 Bibliography 105 Abstract in Korean 119Docto

    ์ตœ๊ณ ๊ฒฝ์˜์ž์˜ ์„ฑ๋ณ„๊ณผ ์ด์‚ฌํšŒ์˜ ๊ตฌ์„ฑ์ด ์ตœ๊ณ ๊ฒฝ์˜์ž์˜ ์ดˆ์ž„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ฒฝ์˜๋Œ€ํ•™ ๊ฒฝ์˜ํ•™๊ณผ,2019. 8. ์กฐ์Šน์•„.์šฐ๋ฆฌ ์‚ฌํšŒ์—์„œ ์—ฌ์„ฑ์ง€๋„์ž๊ฐ€ ๋‚จ์„ฑ ์ง€๋„์ž๋ณด๋‹ค ๋Šฅ๋ ฅ๊ณผ ์—ญ๋Ÿ‰์ด ์ €ํ‰๊ฐ€ ๋˜๊ณ  ์žˆ๋‹ค๋Š” ๊ฒƒ์ด ์ผ๋ฐ˜์ ์ธ ์‚ฌ์‹ค์ด์ง€๋งŒ, ์ด์™€ ๊ฐ™์€ ๋‚จ๋…€์˜ ์ฐจ์ด๊ฐ€ ๊ธฐ์—… ์ตœ๊ณ ๊ฒฝ์˜์ง„๋“ค์˜ ๋ณด์ˆ˜์—์„œ๋„ ๋ฐœ๊ฒฌ๋˜๋Š”์ง€๋Š” ํ•™๊ณ„์˜ ์˜๊ฒฌ์ด ๋ถ„๋ถ„ํ•˜๋‹ค. ๋”ฐ๋ผ์„œ, ๋ณธ ์—ฐ๊ตฌ๊ฐ€ ์ƒˆ๋กœ ์ž„๋ช…๋œ ์ตœ๊ณ ๊ฒฝ์˜์ž์˜ ์ดˆ๋ด‰์„ ๋น„๊ต ๋ถ„์„ํ•ด ๋ณธ ๊ฒฐ๊ณผ ์—ฌ์„ฑ ์ตœ๊ณ ๊ฒฝ์˜์ž๊ฐ€ ๋‚จ์„ฑ ์ตœ๊ณ ๊ฒฝ์˜์ž์— ๋น„ํ•ด ์œ ์˜๋ฏธํ•˜๊ฒŒ ์ ์€ ๋ณด์ˆ˜๋ฅผ ๋ฐ›๋Š” ๊ฒƒ์„ ๋ฐœ๊ฒฌํ–ˆ๋‹ค. ๊ทธ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ๊ธฐ์—…์˜ ์‚ฌ์™ธ์ด์‚ฌ ๋น„์œจ์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์—ฌ์„ฑ ์ตœ๊ณ ๊ฒฝ์˜์ž์˜ ์ดˆ๋ด‰์€ ์ฆ๊ฐ€ํ•˜๊ณ , ๋‚จ์„ฑ ์ตœ๊ณ ๊ฒฝ์˜์ž์˜ ์ดˆ๋ด‰์€ ๊ฐ์†Œํ•˜๋Š” ํ˜„์ƒ์„ ๋ณด์˜€๋Š”๋ฐ, ์ด๋กœ์จ ์‚ฌ์™ธ์ด์‚ฌ ๋น„์œจ ์ฆ๊ฐ€๊ฐ€ ๋‚จ๋…€๊ฐ„์˜ ๋ณด์ˆ˜์˜ ์ฐจ์ด๋ฅผ ์ถ•์†Œ ์‹œํ‚ค๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ํ•˜์ง€๋งŒ ๋ณธ ์—ฐ๊ตฌ์˜ ์˜ˆ์ธก๊ณผ๋Š” ๋‹ฌ๋ฆฌ, ์‚ฌ์™ธ์ด์‚ฌ ๋‚ด ์—ฌ์„ฑ์˜ ๋น„์œจ์„ ์ตœ๊ณ ๊ฒฝ์˜์ž์˜ ์„ฑ๋ณ„๊ณผ ์ดˆ๋ด‰๊ฐ„์˜ ์ฐจ์ด๋ฅผ ์ค„์ด๋Š”๋ฐ ์ƒํ˜ธ์ž‘์šฉ ํšจ๊ณผ๋ฅผ ์ฃผ๊ธฐ ๋ชปํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.Despite the general consensus that female leaders are undervalued than their male counterparts, research on gender gap in executive compensation has yielded mixed results. Using data on the first pay of newly appointed CEOs, I show that new female CEOs tend to receive a significantly lesser amount of first pay than new male CEOs. Moreover, I find that the proportion of independent directors in corporate boards reduces this tendency both by increasing the first pay of new female CEOs and by decreasing the first pay of new male CEOs. Contrary to my expectation, however, the proportion of female directors in corporate boards has no interaction effects between new CEO gender and the amount of first pay.Chapter 1. Introduction 1 Chapter 2. Theory and Hypotheses 5 2.1. Gender Discrimination in Leadership Positions 5 2.2. The Moderating Role of Independent Director Ratio 7 2.3. The Moderating Role of Female Director Ratio 9 Chapter 3. Data and Methods 11 Chapter 4. Results 12 Chapter 5. Conclusion 15 References 17 Abstract in Korean 24Maste

    ํ™์‚ผ๋ฐ• ์ฒจ๊ฐ€ ํฌ๋ž˜์ปค์˜ ์ดํ™”ํ•™์  ํŠน์„ฑ ๋ฐ ๊ด€๋Šฅ์  ๊ธฐํ˜ธ๋„

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ƒํ™œ๊ณผํ•™๋Œ€ํ•™ ์‹ํ’ˆ์˜์–‘ํ•™๊ณผ,2019. 8. ํ™ฉ๊ธˆํƒ.ํ™์‚ผ์„ ์ถ”์ถœํ•˜๊ณ  ๋‚จ์€ ๋ถ€์‚ฐ๋ฌผ์ธ ํ™์‚ผ๋ฐ•์€ ๋Œ€๋ถ€๋ถ„์ด ํ๊ธฐ๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ™์‚ผ๋ฐ•์—๋Š” ์ง„์„ธ๋…ธ์‚ฌ์ด๋“œ ๋ฐ ์‹์ด์„ฌ์œ ์™€ ๊ฐ™์€ ์œ ์šฉ์„ฑ๋ถ„๋“ค์ด ๋‚จ์•„ ์žˆ์œผ๋ฉฐ, ์ด๋ฅผ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์—ฐ๊ตฌ๊ฐ€ ์š”๊ตฌ๋˜๊ณ  ์žˆ๋‹ค. ํ™์‚ผ๋ฐ•์„ ํ™œ์šฉํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์‹๋นต, ๋จธํ•€ ๋“ฑ์˜ ๋ฒ ์ดํ‚น ์ œํ’ˆ์— ์ฒจ๊ฐ€ํ•˜๋Š” ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋˜์—ˆ์œผ๋‚˜, ์ด๋Š” ์—ด์— ์˜ํ•œ ํ™์‚ผ๋ฐ•์˜ ์ฃผ์š” ์œ ์šฉ์„ฑ๋ถ„๋“ค์˜ ๋ณ€ํ™”๋ฅผ ๊ณ ๋ คํ•˜์ง€ ์•Š์•˜๋‹ค๋Š” ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํ™์‚ผ๋ฐ•์„ ํฌ๋ž˜์ปค์— ์ฒจ๊ฐ€ํ•˜์—ฌ ์˜จ๋„์™€ ์‹œ๊ฐ„์„ ๋‹ฌ๋ฆฌํ•˜์—ฌ ๊ตฌ์›Œ, ๋ฒ ์ดํ‚น ์กฐ๊ฑด์— ๋”ฐ๋ฅธ ํ™์‚ผ๋ฐ• ์œ ์šฉ ์„ฑ๋ถ„์˜ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋˜ํ•œ ํฌ๋ž˜์ปค์— ํ™์‚ผ๋ฐ• ์ฒจ๊ฐ€๋Ÿ‰์„ ๋‹ฌ๋ฆฌํ•˜์˜€์„ ๋•Œ, ํ™์‚ผ๋ฐ•์˜ ์ฒจ๊ฐ€๋Ÿ‰์ด ํฌ๋ž˜์ปค์— ๋ฏธ์น˜๋Š” ์ดํ™”ํ•™์  ๋ฐ ๊ด€๋Šฅ์  ํŠน์„ฑ์„ ๋ถ„์„ํ•˜์—ฌ ์œ ์šฉ ์„ฑ๋ถ„์ด ๋ณด๋‹ค ๋งŽ์ด ํ•จ์œ ๋˜์–ด ์žˆ๊ณ  ๊ด€๋Šฅ์  ๊ธฐํ˜ธ๋„๊ฐ€ ๋†’์€ ํฌ๋ž˜์ปค๋ฅผ ๋งŒ๋“ค๊ณ ์ž ํ•˜์˜€๋‹ค. 10%์˜ ๋ฐ€๊ฐ€๋ฃจ๋ฅผ ํ™์‚ผ๋ฐ•์œผ๋กœ ๋Œ€์ฒดํ•œ ํฌ๋ž˜์ปค๋ฅผ ๋‹ค์–‘ํ•œ ์˜จ๋„์™€ ์‹œ๊ฐ„ ์กฐ๊ฑด(120โ„ƒ-60๋ถ„, 170โ„ƒ-15, 20, 25๋ถ„, 220โ„ƒ-10๋ถ„)์—์„œ ๊ตฌ์›Œ ๋ฒ ์ดํ‚น ์กฐ๊ฑด์— ๋”ฐ๋ฅธ ํ™์‚ผ๋ฐ•์˜ ์ง„์„ธ๋…ธ์‚ฌ์ด๋“œ, ์‹์ด์„ฌ์œ , ํ–ฅ๋ฏธ ์„ฑ๋ถ„์˜ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•œ ํ›„ ๋ฒ ์ดํ‚น ์กฐ๊ฑด์„ ์„ค์ •ํ•˜์˜€๋‹ค. ์„ค์ •ํ•œ ๋ฒ ์ดํ‚น ์กฐ๊ฑด์—์„œ ํ™์‚ผ๋ฐ•์˜ ์ฒจ๊ฐ€๋Ÿ‰(๋ฐ€๊ฐ€๋ฃจ์˜ 0, 5, 10, 15, 20%๋ฅผ ํ™์‚ผ๋ฐ•์œผ๋กœ ๋Œ€์ฒด)์„ ๋‹ฌ๋ฆฌํ•˜์—ฌ ํ™์‚ผ๋ฐ• ์ฒจ๊ฐ€๋Ÿ‰์— ๋”ฐ๋ฅธ ์ผ๋ฐ˜ ์„ฑ๋ถ„, ์‹์ด์„ฌ์œ , ์ง„์„ธ๋…ธ์‚ฌ์ด๋“œ, ์ƒ‰๋„, ๋ฌผ์„ฑ, ๊ด€๋Šฅ ํŠน์„ฑ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ง„์„ธ๋…ธ์‚ฌ์ด๋“œ Rb1, Rg1, Rg3์˜ ํ•ฉ๊ณผ ์ˆ˜์šฉ์„ฑ ์‹์ด์„ฌ์œ  ํ•จ๋Ÿ‰์€ 120โ„ƒ์—์„œ 60๋ถ„ ๋™์•ˆ์˜ ๋ฒ ์ดํ‚น ์กฐ๊ฑด์—์„œ ๊ตฌ์šด ํ™์‚ผ๋ฐ• ํฌ๋ž˜์ปค์—์„œ ์œ ์˜์ ์œผ๋กœ ๋†’์•˜๋‹ค. ํ™์‚ผ๋ฐ•์˜ ์ฃผ์š” ํ–ฅ๋ฏธ ์„ฑ๋ถ„์ธ ginsinsene, -panasinsene, -elemene, -gurjunene, ledene๋Š” ๋ฒ ์ดํ‚น์„ ํ•˜์˜€์„ ๋•Œ ์œ ์˜์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜์˜€์œผ๋ฉฐ, ํŠนํžˆ 120โ„ƒ์—์„œ 60๋ถ„ ๋™์•ˆ ๋ฒ ์ดํ‚นํ•  ๋•Œ ๊ฐ€์žฅ ๋งŽ์ด ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ์ด ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•˜์—ฌ ์‹คํ—˜์— ์ด์šฉํ•œ ๋ฒ ์ดํ‚น ์กฐ๊ฑด๋“ค ์ค‘ 120โ„ƒ์—์„œ 60๋ถ„ ๋™์•ˆ ๋ฒ ์ดํ‚นํ•  ๋•Œ ํ™์‚ผ๋ฐ•์˜ ์œ ์šฉ์„ฑ๋ถ„์„ ์ด์šฉํ•˜๊ธฐ์— ์ ํ•ฉํ•˜๋‹ค๊ณ  ํŒ๋‹จํ•˜์˜€๋‹ค. 120โ„ƒ์—์„œ 60๋ถ„ ๋™์•ˆ์œผ๋กœ ์„ค์ •๋œ ๋ฒ ์ดํ‚น ์กฐ๊ฑด์—์„œ ํ™์‚ผ๋ฐ• ์ฒจ๊ฐ€๋Ÿ‰์„ ๋‹ฌ๋ฆฌํ•˜์—ฌ ํฌ๋ž˜์ปค๋ฅผ ์ œ์กฐํ•˜์˜€์„ ๋•Œ, ํ™์‚ผ๋ฐ• ์ฒจ๊ฐ€๋Ÿ‰์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์ˆ˜๋ถ„์€ ๊ฐ์†Œํ•œ ๋ฐ˜๋ฉด, ์กฐ๋‹จ๋ฐฑ, ์กฐํšŒ๋ถ„, ์‹์ด์„ฌ์œ , ์ง„์„ธ๋…ธ์‚ฌ์ด๋“œ๋Š” ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๋ช…๋„๋Š” ํ™์‚ผ๋ฐ•์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ๊ฐ์†Œํ•˜์˜€์œผ๋ฉฐ, ์ ์ƒ‰๋„๋Š” ํ™์‚ผ๋ฐ• ์ฒจ๊ฐ€๋Ÿ‰์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ํ•จ๊ป˜ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๊ฒฝ๋„๋Š” ํ™์‚ผ๋ฐ• ์ฒจ๊ฐ€๋Ÿ‰์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ๋†’์•„์ง€๋Š” ๊ฒฝํ–ฅ์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ๊ด€๋Šฅ ํ‰๊ฐ€ ๊ฒฐ๊ณผ, ๋ฐ€๊ฐ€๋ฃจ์˜ 5%๋ฅผ ํ™์‚ผ๋ฐ•์œผ๋กœ ๋Œ€์ฒดํ•œ ํฌ๋ž˜์ปค๊ฐ€ ๋ง›์— ๋Œ€ํ•œ ๊ธฐํ˜ธ๋„๋Š” ๊ฐ€์žฅ ๋†’์•˜์œผ๋ฉฐ, ์™ธ๊ด€, ์ƒ‰, ํ–ฅ, ์กฐ์ง๊ฐ, ์ „์ฒด์ ์ธ ๊ธฐํ˜ธ๋„์— ์žˆ์–ด์„œ๋Š” ํ™์‚ผ๋ฐ•์„ ์ฒจ๊ฐ€ํ•˜์ง€ ์•Š์€ ํฌ๋ž˜์ปค์™€ ์œ ์˜์ ์ธ ์ฐจ์ด๋ฅผ ๋ณด์ด์ง€ ์•Š์•˜๋‹ค. ๊ฒฐ๊ณผ์ ์œผ๋กœ ํ™์‚ผ๋ฐ•์˜ ์ฃผ์š” ์œ ์šฉ์„ฑ๋ถ„์„ ๊ณ ๋ คํ•˜์˜€์„ ๋•Œ ๋ณธ ์—ฐ๊ตฌ์—์„œ ์‚ฌ์šฉํ•œ ๋ฒ ์ดํ‚น ์กฐ๊ฑด ์ค‘, ์ €์˜จ ์žฅ์‹œ๊ฐ„(120โ„ƒ์—์„œ 60๋ถ„ ๋™์•ˆ)์ด ๋ฒ ์ดํ‚น ์กฐ๊ฑด์œผ๋กœ ์ ํ•ฉํ•˜๋ฉฐ, ์ ๋‹น๋Ÿ‰์˜ ํ™์‚ผ๋ฐ•์„ ๋ฒ ์ดํ‚น ์ œํ’ˆ์— ์ฒจ๊ฐ€ํ•  ๋•Œ ์˜์–‘์ ์ธ ๋ฉด๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ๊ด€๋Šฅ์ ์ธ ํŠน์„ฑ ๋˜ํ•œ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋ผ๊ณ  ํŒ๋‹จํ•œ๋‹ค.Red ginseng marc (RGM), a by-product from ginseng industry, still contains bioactive compounds such as ginsenosides and dietary fibers. The objective of this study was to investigate effects of baking conditions and formulations on physicochemical and sensory characteristics of crackers in which RGM was incorporated. Proximate composition, ginsenosides, dietary fibers, aroma compounds, color, texture, and sensory characteristics were analyzed. The sum of ginsenoside Rb1, Rg1 and Rg3, dietary fibers, and major aroma compounds were the highest in the crackers baked at 120 C for 60 min. The crackers with 5% replacement of wheat flour with RGM scored the highest in taste and overall acceptability. The results suggest that low temperature-long time may be a suitable baking condition to utilize RGM in baking products and a proper amount of RGM may improve not only nutritional quality but also sensory properties.CONTENTS ABSTRACT I CONTENTS III LIST OF TABLES V LIST OF FIGURES VI INTRODUCTION 1 MATERIALS AND METHODS 3 1. Chemicals 3 2. Materials 3 3. Preparation of crackers 4 4. Proximate composition 6 5. Analysis of ginsenosides 6 6. Analysis of dietary fibers 7 7. Analysis of aroma compounds 8 8. Analysis of color 9 9. Analysis of texture 9 10. Sensory evaluations 9 11. Statistical analysis 12 RESULTS AND DISCUSSION 13 1. Proximate composition of wheat flour and RGM 13 2. Effect of baking conditions on the crackers containing RGM 13 2.1. Effect on ginsenoside composition 13 2.2. Effect on dietary fibers 19 2.3. Effect on aroma compounds 21 3. Effect of different RGM replacement levels on physicochemical and sensory characteristics of crackers 23 3.1. Proximate composition and dietary fiber contents 23 3.2. Ginsenoside content 23 3.3. Color 26 3.4. Texture 26 3.5. Sensory acceptability 29 CONCLUSION 31 REFERENCES 32 ๊ตญ๋ฌธ์ดˆ๋ก 38Maste

    99mTc-MSA์™€ ์—ผ๋ฃŒ ์ ‘ํ•ฉ์ฒด๋ฅผ ์‚ฌ์šฉํ•œ ๊ฐ์‹œ๋ฆผํ”„์ ˆ ๋งตํ•‘์šฉ ๋‹ค์ค‘๋ชจ๋“œ์˜์ƒ์ œ์˜ ๊ฐœ๋ฐœ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์˜๊ณผ๋Œ€ํ•™ ์˜๊ณผํ•™๊ณผ, 2019. 2. ์ •์žฌ๋ฏผ.Purpose: Sentinel lymph node (SLN) is the first regional lymph node (LN) existing nearest to the primary tumor. The detection of SLN in breast cancer and melanoma patients is important to evaluate tumor staging or to establish therapeutic decision-making. Blue dyes, radiotracers, combination of a radiotracer and blue dye method and radiolabeled blue dyes have been clinically used for SLN detection. However, these methods still have some limitations. Here, the aim for this study was to develop a SLN mapping agent using 99mTc-labeled mannosylated human serum albumin (MSA) and dyes. Various dyes were tested by in vitro experiments such as binding efficiency with MSA, size exclusion liquid chromatography with HPLC and fluorescent screening. The selected dye, naphthol blue black (NBB) which showed the highest binding efficiency with MSA, was tested regarding its ability for SLN mapping by visual investigation, fluorescence imaging, and single photon emission computed tomography (SPECT)/computed tomography (CT). Methods: Visible screening was performed using 8 different dyes. Each 1 mM dye solution was prepared by dissolving 1 ฮผmol of dye in 1 mL of distilled water (DW) and the solution was serially diluted from 0.25 to 0.001 mM with DW. The color of the prepared solutions was compared by visual inspection. To determine values of MSA-dye conjugates, UV-VIS-NIR spectrum assay was conducted and optical density (OD) was measured by Varioskan Flash screening mode at 350-850 nm. Binding efficiencies between MSA and various dyes were measured by thin-layer chromatography at 10, 30 min, 1, 2, 6, and 24 h after incubation. TLC plates were scanned by Fujifilm LAS 3000 and the spots were quantified by multi-gauge 3.0. HPLC was used to distinguish the size between before and after dye and MSA conjugation. Fluorescence imaging was performed at 420-780 nm excitation and 520-845 nm emission to find out the wavelength band which exhibits strong fluorescence for MSA-dye conjugates. To evaluate the ability of MSA-NBB conjugate for SLN mapping, MSA-NBB conjugate or only NBB was injected to a same male BALB/c mice and visible and fluorescence images were obtained at 10, 30 min, 1, and 2 h post-injection. For SPECT/CT imaging, MSA-NBB conjugate was labeled with 99mTc and the conjugate complex was subcutaneously injected into the left footpad of the mouse. SPECT/CT images were obtained at 10, 30 min, 1, and 2 h after injection. Results: All dyes that were used in visible screening showed a clear color at 0.25 mM. As dilution, some dyes were difficult to identify color of the solution and NBB, PBVF, NY, BR and EB showed most visible at low concentration at 0.004 mM. In order to compare each of MSA-dye conjugates by a quantified value, values were calculated by Beer-Lambert Law using OD values at peak wavelength. MSA-PBVF conjugate demonstrated the highest value of 141,481 Mโˆ’1ยทcmโˆ’1, followed by MSA-EB conjugate (99259.3), MSA-ICG conjugate (87037.0) and MSA-NBB conjugate (62222.2). Size exclusion HPLC confirmed that MSA-dye conjugates was formed as a monomer. All the prepared MSA-dye conjugates was stable for 24 h and no other aggregates were found in the chromatogram. TLC results showed that binding efficiencies of all dyes were increased depending on the concentration of MSA and the reaction time. Especially, NBB had the highest binding affinity with MSA among all the tested dyes requiring the least amount of MSA (2.5 mg) and the short reaction time (10 min). Binding ratio was calculated that 0.7 of NBB was bound with 1.0 of MSA. Based on these results, NBB was selected for the in vivo application. Fluorescence of MSA-NBB conjugate was detected at excitation 600 nm, emission 670 nm and fluorescence of unbound dyes or MSA was not detected at the same range. In visible image, MSA-NBB conjugate accumulated more in the popliteal lymph node that NBB alone at all the investigational time. The fluorescence of MSA-NBB conjugate and NBB alone were accumulated in the popliteal LN at 10 min at 4.48ยฑ0.34 and 4.24ยฑ0.18 flux (108 p/s), respectively. While the fluorescence of MSA-NBB conjugate in the popliteal LN was maintained for 2 h (4.81ยฑ1.24 flux (108 p/s)), the fluorescence of NBB alone rapidly decreased (2.61ยฑ0.46 flux (108 p/s)). MSA-NBB conjugate showed about two-fold higher popliteal LN uptake as compared with NBB alone from 30 min to 2 h after footpad injection. In SPECT/CT images, 99mTc-MSA-NBB conjugate was highly accumulated in the popliteal and inguinal LN. The SUVmean value of 99mTc-MSA-NBB conjugate in the popliteal and inguinal LN was 13.08ยฑ2.33 and 3.00ยฑ1.64 at 10 min and 17.83ยฑ5.85 and 4.99ยฑ3.44 at 2 h, respectively. SPECT/CT results showed that the popliteal LN uptake of 99mTc-MSA-NBB conjugate was about 3.5-fold higher than inguinal LN uptake at all time points. Conclusion: In this study, 99mTc-MSA-NBB conjugate was developed as a multimodal SLN mapping agent for direct visualization, fluorescence and SPECT/CT. The ability of 99mTc-MSA-NBB conjugate for accumulation in SLN was assessed by evaluating the popliteal LN uptake which is closest to the foot pad by visual monitoring, fluorescence imaging, and SPECT/CT. The results demonstrated that 99mTc-MSA-NBB conjugate binds quickly to SLN and accumulates in SLN until 2 h after footpad injection. Based on these results, 99mTc-MSA-NBB conjugate has a great potential as an SLN mapping agent for clinical use.๋ชฉ์ : ๊ฐ์‹œ๋ฆผํ”„์ ˆ์€ ์›๋ฐœ์„ฑ ์ข…์–‘์œผ๋กœ๋ถ€ํ„ฐ ๊ฐ€์žฅ ๊ฐ€๊นŒ์ด์— ์œ„์น˜ํ•œ ๋ฆผํ”„์ ˆ์ด๋‹ค. ์œ ๋ฐฉ์•”ํ™˜์ž, ํ‘์ƒ‰์ข… ์•”ํ™˜์ž์—์„œ ๊ฐ์‹œ๋ฆผํ”„์ ˆ์„ ๊ฒ€์ถœํ•˜๋Š” ๊ฒƒ์€ ์ข…์–‘ ๋ณ‘๊ธฐ๋ฅผ ํ‰๊ฐ€ํ•˜๊ณ , ์ˆ˜์ˆ  ์ค‘ ์น˜๋ฃŒ ๊ฒฐ์ •์„ ํ•˜๋Š”๋ฐ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•œ๋‹ค. ํ˜„์žฌ ์ž„์ƒ์—์„œ ์ฒญ์ƒ‰ ์—ผ๋ฃŒ, ๋ฐฉ์‚ฌ์„ฑ ์ถ”์ ์ž, ๋ฐฉ์‚ฌ์„ฑ ์ถ”์ ์ž์™€ ์ฒญ์ƒ‰ ์—ผ๋ฃŒ ๋ฐฉ๋ฒ•์˜ ์กฐํ•ฉ ๊ทธ๋ฆฌ๊ณ  ๋ฐฉ์‚ฌ์„ฑ ๋™์œ„์›์†Œ๊ฐ€ ํ‘œ์ง€๋œ ์ฒญ์ƒ‰ ์—ผ๋ฃŒ๊ฐ€ ๊ฐ์‹œ๋ฆผํ”„์ ˆ ๊ฒ€์ถœ์— ์ด์šฉ๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Ÿฌํ•œ ๋ฐฉ๋ฒ•์—๋Š” ๊ฐ๊ฐ ํ•œ๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉํ‘œ๋Š” 99mTc์ด ํ‘œ์ง€๋œ MSA์™€ ์—ผ๋ฃŒ๋ฅผ ์‚ฌ์šฉํ•œ ๊ฐ์‹œ๋ฆผํ”„์ ˆ ๋งตํ•‘ ์˜์ƒ์ œ๋ฅผ ๊ฐœ๋ฐœํ•˜๋Š” ๊ฒƒ์ด์—ˆ๋‹ค. MSA์™€์˜ ๊ฒฐํ•ฉํšจ์œจ, ์‚ฌ์ด์ฆˆ ๋ฐฐ์ œ ํฌ๋กœ๋งˆํ† ๊ทธ๋ž˜ํ”ผ๋ฅผ ์ด์šฉํ•œ ๊ณ ์„ฑ๋Šฅ์•ก์ฒดํฌ๋กœ๋งˆํ† ๊ทธ๋ž˜ํ”ผ ์‹คํ—˜, ํ˜•๊ด‘ ๋ชจ๋‹ˆํ„ฐ๋ง๊ณผ ๊ฐ™์€ ์‹œํ—˜๊ด€ ์‹คํ—˜์„ ํ†ตํ•ด ๋‹ค์–‘ํ•œ ์—ผ๋ฃŒ๋ฅผ ํ…Œ์ŠคํŠธํ•˜์˜€๋‹ค. ๊ทธ ์ค‘ MSA์™€ ๊ฐ€์žฅ ๋†’์€ ๊ฒฐํ•ฉ ํšจ์œจ์„ ๋ณด์ธ NBB๊ฐ€ ์„ ํƒ๋˜์—ˆ๊ณ , ์œก์•ˆ ๊ฒ€์‚ฌ, ํ˜•๊ด‘ ์ด๋ฏธ์ง• ๊ทธ๋ฆฌ๊ณ  ๋‹จ์ผ ๊ด‘์ž ๋ฐฉ์ถœ ์ปดํ“จํ„ฐ ๋‹จ์ธต ์ดฌ์˜/์ปดํ“จํ„ฐ ๋‹จ์ธต ์ดฌ์˜ (SPECT/CT)์„ ํ†ตํ•ด ๊ฐ์‹œ๋ฆผํ”„์ ˆ ๋งตํ•‘ ์„ฑ๋Šฅ์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ๋ฐฉ๋ฒ•: ์œก์•ˆ๊ฒ€์‚ฌ๋Š” 8๊ฐœ์˜ ์—ผ๋ฃŒ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. 1 mM์˜ ์—ผ๋ฃŒ ์šฉ์•ก์€ 1 ยตmol์˜ ์—ผ๋ฃŒ๋ฅผ 1 mL์˜ ์ฆ๋ฅ˜์ˆ˜์— ๋…น์—ฌ ์ค€๋น„ํ•˜์˜€๊ณ , ์ฆ๋ฅ˜์ˆ˜๋ฅผ ์ด์šฉํ•˜์—ฌ 0.25 mM์—์„œ 0.001 mM๊นŒ์ง€ ์—ฐ์† ํฌ์„ํ•˜์˜€๋‹ค. ์ค€๋น„๋œ ์—ผ๋ฃŒ ์šฉ์•ก์˜ ์ƒ‰์ƒ์€ ์œก์•ˆ๊ฒ€์‚ฌ๋ฅผ ํ†ตํ•ด ๋น„๊ต๋˜์—ˆ๋‹ค. MSA-์—ผ๋ฃŒ ์ ‘ํ•ฉ์ฒด์˜ ๋ถ„์žํก๊ด‘๊ณ„์ˆ˜ (ฮต)๋ฅผ ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด, UV-VIS-NIR ์ŠคํŽ™ํŠธ๋Ÿผ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๊ณ  ํก๊ด‘๋„ (OD)๋Š” 350-850 nm์˜ Varioskan flash screening mode์—์„œ ์ธก์ •๋˜์—ˆ๋‹ค. MSA์™€ ๋‹ค์–‘ํ•œ ์—ผ๋ฃŒ๊ฐ„์˜ ๊ฒฐํ•ฉ ํšจ์œจ์€ ๋ฐ˜์‘ 10๋ถ„, 30๋ถ„, 1์‹œ๊ฐ„, 2์‹œ๊ฐ„, 6์‹œ๊ฐ„ ๊ทธ๋ฆฌ๊ณ  24์‹œ๊ฐ„ ํ›„ ๋ฐ•์ธตํฌ๋กœ๋งˆํ† ๊ทธ๋ž˜ํ”ผ๋ฅผ ํ†ตํ•ด ์ธก์ •๋˜์—ˆ๋‹ค. ๋ฐ•์ธตํฌ๋กœ๋งˆํ† ๊ทธ๋ž˜ํ”ผ ํ”Œ๋ ˆ์ดํŠธ๋Š” Fujifilm LAS 3000๋ฅผ ์ด์šฉํ•˜์—ฌ ์Šค์บ”ํ•˜์˜€๊ณ , multi-gauge 3.0๋ฅผ ์ด์šฉํ•˜์—ฌ ์ •๋Ÿ‰ํ‰๊ฐ€ ํ•˜์˜€๋‹ค. ์—ผ๋ฃŒ์™€ MSA ์ ‘ํ•ฉ ์ „ํ›„์˜ ํฌ๊ธฐ๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๊ณ ์„ฑ๋Šฅ์•ก์ฒดํฌ๋กœ๋งˆํ† ๊ทธ๋ž˜ํ”ผ๋ฅผ ์‹คํ–‰ํ•˜์˜€๋‹ค. MSA-์—ผ๋ฃŒ ์ ‘ํ•ฉ์ฒด๊ฐ€ ๊ฐ•ํ•œ ํ˜•๊ด‘ ์‹ ํ˜ธ๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ํŒŒ์žฅ๋Œ€๋ฅผ ์ฐพ๊ธฐ ์œ„ํ•ด, ์—ฌ๊ธฐ 420-780 nm, ๋ฐฉ์ถœ 520-845 nm์—์„œ ํ˜•๊ด‘ ์ด๋ฏธ์ง• ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ฐ์‹œ๋ฆผํ”„์ ˆ ๋งตํ•‘์„ ์œ„ํ•œ MSA-NBB ์ ‘ํ•ฉ์ฒด์˜ ์„ฑ๋Šฅ์„ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด, MSA-NBB ์ ‘ํ•ฉ์ฒด ํ˜น์€ NBB๋ฅผ ์ˆ˜์ปท BALB/c ๋งˆ์šฐ์Šค (์ด 12๋งˆ๋ฆฌ)์— ํˆฌ์—ฌ ํ›„ 10๋ถ„, 30๋ถ„, 1์‹œ๊ฐ„ ๊ทธ๋ฆฌ๊ณ  2์‹œ๊ฐ„์— ์œก์•ˆ ์‚ฌ์ง„๊ณผ ํ˜•๊ด‘ ์ด๋ฏธ์ง€๋ฅผ ์–ป์—ˆ๋‹ค. SPECT/CT๋ฅผ ์–ป๊ธฐ ์œ„ํ•ด, MSA-NBB ์ ‘ํ•ฉ์ฒด๋ฅผ 99mTc์œผ๋กœ ํ‘œ์ง€ ํ•˜์˜€๊ณ , ๋งˆ์šฐ์Šค(์ด 3๋งˆ๋ฆฌ) ์ขŒ์ธก ๋ฐœ๋ฐ”๋‹ฅ์— ํ”ผํ•˜ ์ฃผ์‚ฌํ•˜์˜€๋‹ค. ์•ฝํ’ˆ ํˆฌ์—ฌ 10๋ถ„, 30๋ถ„, 1์‹œ๊ฐ„, 2์‹œ๊ฐ„ ํ›„ SPECT/CT๋ฅผ ์–ป์—ˆ๋‹ค. ๊ฒฐ๊ณผ: ์œก์•ˆ ๊ฒ€์‚ฌ์—์„œ ๋ชจ๋“  ์—ผ๋ฃŒ๊ฐ€ 0.25 mM์—์„œ ๋ช…ํ™•ํ•œ ์ƒ‰์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ํฌ์„๋œ ์ผ๋ถ€ ์—ผ๋ฃŒ๋Š” ์šฉ์•ก์˜ ์ƒ‰์„ ํ™•์ธํ•˜๊ธฐ ์–ด๋ ค์› ๊ณ , NBB, PBVF, NY, BR ๊ทธ๋ฆฌ๊ณ  EB๋Š” 0.004 mM์˜ ๋‚ฎ์€ ๋†๋„์—์„œ๋„ ์ž˜ ๋ณด์˜€๋‹ค. MSA-์—ผ๋ฃŒ ์ ‘ํ•ฉ์ฒด ๊ฐ๊ฐ์„ ์ •๋Ÿ‰ํ™”๋œ ๊ฐ’์œผ๋กœ ๋น„๊ตํ•˜๊ธฐ ์œ„ํ•ด, ํก๊ด‘๋„ (OD)์™€ Beer-Lambert Law๋ฅผ ์ด์šฉํ•˜์—ฌ ๋ถ„์žํก๊ด‘๊ณ„์ˆ˜ ()๋ฅผ ๊ณ„์‚ฐํ•˜์˜€๋‹ค. MSA-PBVF ์ ‘ํ•ฉ์ฒด๋Š” 141,481 Mโˆ’1ยทcmโˆ’1๋กœ ๊ฐ€์žฅ ๋†’์€ ๋ถ„์žํก๊ด‘๊ณ„์ˆ˜๋ฅผ ๋‚˜ํƒ€๋‚ด์—ˆ์œผ๋ฉฐ, MSA-EB ์ ‘ํ•ฉ์ฒด (99259.3), MSA-ICG ์ ‘ํ•ฉ์ฒด (87037.0) ๊ทธ๋ฆฌ๊ณ  MSA-NBB ์ ‘ํ•ฉ์ฒด (62222.2)๊ฐ€ ๋’ค๋ฅผ ์ด์—ˆ๋‹ค. ์‚ฌ์ด์ฆˆ ๋ฐฐ์ œ ๊ณ ์„ฑ๋Šฅ์•ก์ฒดํฌ๋กœ๋งˆํ† ๊ทธ๋ž˜ํ”ผ๋ฅผ ํ†ตํ•ด MSA-์—ผ๋ฃŒ ์ ‘ํ•ฉ์ฒด๊ฐ€ ๋‹จ๋Ÿ‰์ฒด๋กœ ์กด์žฌํ•œ๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ํฌ๋กœ๋งˆํ† ๊ทธ๋žจ์—์„œ ์ค€๋น„๋œ ๋ชจ๋“  MSA-์—ผ๋ฃŒ ์ ‘ํ•ฉ์ฒด๋Š” 24์‹œ๊ฐ„ ๋™์•ˆ ์•ˆ์ •ํ•˜์˜€๊ณ , ๋‹ค๋ฅธ ์‘์ง‘์ฒด๋Š” ๋ฐœ๊ฒฌ๋˜์ง€ ์•Š์•˜๋‹ค. ๋ฐ•์ธตํฌ๋กœ๋งˆํ† ๊ทธ๋ž˜ํ”ผ๊ฒฐ๊ณผ๋Š” MSA ๋†๋„์™€ ๊ฒฐํ•ฉ ๋ฐ˜์‘ ์‹œ๊ฐ„์ด ์ฆ๊ฐ€๋จ์— ๋”ฐ๋ผ ๋ชจ๋“  ์—ผ๋ฃŒ์™€ MSA๊ฐ„์˜ ๊ฒฐํ•ฉ ํšจ์œจ์ด ์ฆ๊ฐ€ํ•จ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ํŠนํžˆ, ํ…Œ์ŠคํŠธ๋œ ๋ชจ๋“  ์—ผ๋ฃŒ ์ค‘ NBB๊ฐ€ ๊ฐ€์žฅ ์ ์€ ์–‘์˜ MSA (2.5 mg)์™€ ์งง์€ ์‹œ๊ฐ„ (10๋ถ„)๋‚ด์— ๊ฐ€์žฅ ๋†’์€ ๊ฒฐํ•ฉ ์นœํ™”๋ ฅ์„ ๋ณด์˜€๋‹ค. ๊ฒฐํ•ฉ ๋น„์œจ(mol/mol)์€ NBB 0.7์ด MSA 1๊ณผ ๊ฒฐํ•ฉ๋œ ๊ฒƒ์œผ๋กœ ๊ณ„์‚ฐ๋˜์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ, ์ƒ์ฒด ๋‚ด ์ ์šฉ ์‹คํ—˜์„ ์œ„ํ•ด NBB๊ฐ€ ์„ ํƒ๋˜์—ˆ๋‹ค. MSA-NBB ์ ‘ํ•ฉ์ฒด์˜ ํ˜•๊ด‘ ์‹ ํ˜ธ๋Š” ์—ฌ๊ธฐ 600 nm, ๋ฐฉ์ถœ 670 nm์—์„œ ๊ฒ€์ถœ๋˜์—ˆ์œผ๋ฉฐ, ๊ฒฐํ•ฉ๋˜์ง€ ์•Š์€ ์—ผ๋ฃŒ์™€ MSA์˜ ํ˜•๊ด‘ ์‹ ํ˜ธ๋Š” ๋™์ผํ•œ ํŒŒ์žฅ์—์„œ ๊ฒ€์ถœ๋˜์ง€ ์•Š์•˜๋‹ค. ์œก์•ˆ๊ฒ€์‚ฌ์—์„œ, MSA-NBB ์ ‘ํ•ฉ์ฒด๊ฐ€ NBB ๋‹จ๋…์œผ๋กœ ํˆฌ์—ฌํ•˜์˜€์„ ๋•Œ ๋ณด๋‹ค ๋ชจ๋“  ์‹œ๊ฐ„๋Œ€์—์„œ ๋” ๋งŽ์€ ์Šฌ์™€๋ฆผํ”„์ ˆ ์ถ•์ ์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ์•ฝํ’ˆ ํˆฌ์—ฌ 10๋ถ„ ํ›„ ์Šฌ์™€๋ฆผํ”„์ ˆ์— ์ถ•์ ๋œ MSA-NBB ์ ‘ํ•ฉ์ฒด์™€ NBB์˜ ํ˜•๊ด‘ ์„ธ๊ธฐ๋Š” ๊ฐ๊ฐ 4.48ยฑ0.34 ๊ทธ๋ฆฌ๊ณ  4.24ยฑ0.18 flux (108 p/s)์ด์—ˆ๋‹ค. ์•ฝํ’ˆ ํˆฌ์—ฌ 2์‹œ๊ฐ„ ํ›„ MSA-NBB ์ ‘ํ•ฉ์ฒด์˜ ์Šฌ์™€๋ฆผํ”„์ ˆ ์ถ•์ (4.81ยฑ1.24 flux (108 p/s))์€ ์œ ์ง€๋˜์—ˆ์œผ๋‚˜, NBB์˜ ํ˜•๊ด‘ ์„ธ๊ธฐ๋Š” ๋น ๋ฅด๊ฒŒ ๊ฐ์†Œ (2.61ยฑ0.46 flux (108 p/s))ํ•˜์˜€๋‹ค. ์•ฝํ’ˆ ํˆฌ์—ฌ 30๋ถ„์—์„œ 2์‹œ๊ฐ„๊นŒ์ง€ MSA-NBB ์ ‘ํ•ฉ์ฒด๋Š” NBB ๋‹จ๋…์œผ๋กœ ํˆฌ์—ฌํ•˜์˜€์„ ๋•Œ ๋ณด๋‹ค ์•ฝ 2๋ฐฐ ๋†’์€ ์Šฌ์™€๋ฆผํ”„์ ˆ ์ถ•์ ์„ ๋ณด์˜€๋‹ค. SPECT/CT์—์„œ, 99mTc-MSA-NBB ์ ‘ํ•ฉ์ฒด๋Š” ์Šฌ์™€๋ฆผํ”„์ ˆ๊ณผ ์„œํ˜œ๋ถ€๋ฆผํ”„์ ˆ์— ๋†’์€ ์„ญ์ทจ๋ฅผ ๋ณด์˜€๋‹ค. ์•ฝํ’ˆ ํˆฌ์—ฌ 10๋ถ„ ํ›„ ์Šฌ์™€๋ฆผํ”„์ ˆ๊ณผ ์„œํ˜œ๋ถ€๋ฆผํ”„์ ˆ ๊ฐ๊ฐ์— ์„ญ์ทจ๋œ 99mTc-MSA-NBB ์ ‘ํ•ฉ์ฒด์˜ SUVmean์€ 13.08ยฑ2.33, 3.00ยฑ1.64์ด์—ˆ๊ณ , ์•ฝํ’ˆ ํˆฌ์—ฌ 2์‹œ๊ฐ„ ํ›„์—๋Š” 17.83ยฑ5.85, 4.99ยฑ3.44์ด์—ˆ๋‹ค. SPECT/CT ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด, ๋ชจ๋“  ์‹œ๊ฐ„๋Œ€์—์„œ 99mTc-MSA-NBB ์ ‘ํ•ฉ์ฒด์˜ ์Šฌ์™€๋ฆผํ”„์ ˆ ์ถ•์ ์ด ์„œํ˜œ๋ถ€๋ฆผํ”„์ ˆ ์ถ•์ ๋ณด๋‹ค ์•ฝ 3.5๋ฐฐ ๋†’์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ฒฐ๋ก : ๋ณธ ์—ฐ๊ตฌ์—์„œ, 99mTc-MSA-NBB ์ ‘ํ•ฉ์ฒด๋Š” ์œก์•ˆ ๊ฒ€์‚ฌ, ํ˜•๊ด‘ ์ด๋ฏธ์ง€ ๋ฐ SPECT/CT๋ฅผ ์œ„ํ•œ ๋‹ค์ค‘๋ชจ๋“œ ๊ฐ์‹œ๋ฆผํ”„์ ˆ ๋งตํ•‘ ์˜์ƒ์ œ๋กœ ๊ฐœ๋ฐœ๋˜์—ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” ์œก์•ˆ๊ฒ€์‚ฌ, ํ˜•๊ด‘ ์ด๋ฏธ์ง€ ๊ทธ๋ฆฌ๊ณ  SPECT/CT๋ฅผ ํ†ตํ•ด, ๋ฐœ๋ฐ”๋‹ฅ์œผ๋กœ๋ถ€ํ„ฐ ๊ฐ€์žฅ ๊ฐ€๊นŒ์ด์— ์œ„์น˜ํ•œ ์Šฌ์™€๋ฆผํ”„์ ˆ ์ถ•์ ์„ ํ‰๊ฐ€ํ•จ์œผ๋กœ์จ 99mTc-MSA-NBB ์ ‘ํ•ฉ์ฒด์˜ ๊ฐ์‹œ๋ฆผํ”„์ ˆ ์ถ•์  ๋Šฅ๋ ฅ์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ๊ฒฐ๊ณผ๋Š” 99mTc-MSA-NBB ์ ‘ํ•ฉ์ฒด๊ฐ€ ๊ฐ์‹œ๋ฆผํ”„์ ˆ์— ๋น ๋ฅด๊ฒŒ ๊ฒฐํ•ฉํ•˜๊ณ , ์•ฝํ’ˆํˆฌ์—ฌ 2์‹œ๊ฐ„ ํ›„๊นŒ์ง€ ๊ฐ์‹œ๋ฆผํ”„์ ˆ์— ์ถ•์ ๋จ์„ ๋ณด์—ฌ ์ฃผ์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ, 99mTc-MSA-NBB ์ ‘ํ•ฉ์ฒด๊ฐ€ ์ž„์ƒ์—์„œ ๊ฐ์‹œ๋ฆผํ”„์ ˆ ๋งตํ•‘์„ ์œ„ํ•ด ์‚ฌ์šฉ๋  ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค.ABSTRACT ----------------------------------------------------------------------------------2 LIST OF FIGURES AND TABLES ----------------------------------------------------9 LIST OF ABBREVIATIONS -----------------------------------------------------------11 INTRODUCTION ------------------------------------------------------------------------14 MATERIALS AND METHODS -------------------------------------------------------19 Preparation of MSA and kits for 99mTc labeling ----------------------------------20 In vitro visibility test of dyes ----------------------------------------------------------21 Absorption spectra and molar absorption coefficient () of MSA-dye conjugates ---------------------------------------------------------------------------------------------22 In vitro measurements for the binding efficiencies of dyes with MSA ----------22 Size exclusion HPLC before and after MSA and dye conjugation --------------25 Electrophoresis for the binding mechanism study of MSA and dyes ------------25 In vitro fluorescence monitoring of MSA-dye conjugates-------------------------26 In vivo visible and fluorescence experiments of MSA-NBB conjugate for the detection of SLN ------------------------------------------------------------------------29 Preparation for 99mTc-MSA-NBB conjugate ----------------------------------------29 Analysis of SPECT/CT ----------------------------------------------------------------30 Stability test of 99mTc-MSA-NBB conjugate in in vivo ---------------------------31 RESULTS -----------------------------------------------------------------------------------33 In vitro visibility test of dyes ----------------------------------------------------------33 Absorption spectra and molar absorption coefficient () of MSA-dye conjugates ---------------------------------------------------------------------------------------------35 In vitro measurements for the binding efficiencies of dyes with MSA ----------39 Size exclusion HPLC before and after MSA and dye conjugation----------------44 Electrophoresis for the binding mechanism study of MSA and dyes ------------48 In vitro fluorescence monitoring of MSA-dye conjugates ------------------------50 In vivo visible and fluorescence experiments of MSA-NBB conjugate for the detection of SLN------------------------------------------------------------------------52 Preparation for 99mTc-MSA-NBB conjugate ----------------------------------------56 Analysis of SPECT/CT ----------------------------------------------------------------61 Stability test of 99mTc-MSA-NBB conjugate in in vivo ---------------------------63 DISCUSSION ------------------------------------------------------------------------------65 CONCLUSION ----------------------------------------------------------------------------73 REFERENCES ----------------------------------------------------------------------------74 ๊ตญ๋ฌธ์ดˆ๋ก ------------------------------------------------------------------------------------82Docto

    Unplanned conversion during minimally invasive liver resection for hepatocellular carcinoma: risk factors and surgical outcomes

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    Purpose: Unplanned conversion is sometimes necessary during minimally invasive liver resection (MILR) of hepatocellular carcinoma (HCC). The aims of this study were to compare surgical outcomes of planned MILR and unplanned conversion and to investigate the risk factors after unplanned conversion. Methods: We retrospectively analyzed 286 patients who underwent MILR with HCC from January 2006 to December 2017. All patients were divided into a MILR group and an unplanned conversion group. The clinicopathologic characteristics and outcomes were compared between the 2 groups. In addition, surgical outcomes in the conversion group were compared with the planned open surgery group (n = 505). Risk factors for unplanned conversion were analyzed. Results: Of the 286 patients who underwent MILR, 18 patients (6.7%) had unplanned conversion during surgery. The unplanned conversion group showed statistically more blood loss, higher transfusion rate and postoperative complication rate, and longer hospital stay compared to the MILR group, whereas no such difference was observed in comparison with the planned open surgery group. There were no significant differences in overall and disease-free survival among 3 groups. The right-sided sectionectomy (right anterior and posterior sectionectomy), central bisectionectomy and tumor size were risk factors of unplanned conversion. Conclusion: Unplanned conversion during MILR for HCC was associated with poor perioperative outcomes, but it did not affect long-term oncologic outcomes in our study. In addition, when planning right-sided sectionectomy or central bisectionectomy for a large tumor (more than 5 cm), we should recommend open surgery or MILR with an informed consent for unplanned open conversions.ope

    eHealth Literacy Instruments: Systematic Review of Measurement Properties

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    Background: The internet is now a major source of health information. With the growth of internet users, eHealth literacy has emerged as a new concept for digital health care. Therefore, health professionals need to consider the eHealth literacy of consumers when providing care utilizing digital health technologies. Objective: This study aimed to identify currently available eHealth literacy instruments and evaluate their measurement properties to provide robust evidence to researchers and clinicians who are selecting an eHealth literacy instrument. Methods: We conducted a systematic review and meta-analysis of self-reported eHealth literacy instruments by applying the updated COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) methodology. Results: This study included 7 instruments from 41 articles describing 57 psychometric studies, as identified in 4 databases (PubMed, CINAHL, Embase, and PsycInfo). No eHealth literacy instrument provided evidence for all measurement properties. The eHealth literacy scale (eHEALS) was originally developed with a single-factor structure under the definition of eHealth literacy before the rise of social media and the mobile web. That instrument was evaluated in 18 different languages and 26 countries, involving diverse populations. However, various other factor structures were exhibited: 7 types of two-factor structures, 3 types of three-factor structures, and 1 bifactor structure. The transactional eHealth literacy instrument (TeHLI) was developed to reflect the broader concept of eHealth literacy and was demonstrated to have a sufficient low-quality and very low-quality evidence for content validity (relevance, comprehensiveness, and comprehensibility) and sufficient high-quality evidence for structural validity and internal consistency; however, that instrument has rarely been evaluated. Conclusions: The eHealth literacy scale was the most frequently investigated instrument. However, it is strongly recommended that the instrument's content be updated to reflect recent advancements in digital health technologies. In addition, the transactional eHealth literacy instrument needs improvements in content validity and further psychometric studies to increase the credibility of its synthesized evidence.ope

    ํŒŒ๊ณจ์„ธํฌ ์ด๋™๊ณผ ๊ณจํก์ˆ˜์— ๋Œ€ํ•œ CCL19 ๋ฐ CCL21 ์ผ€๋ชจ์นด์ธ์˜ ์—ญํ• 

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์น˜์˜๊ณผํ•™๊ณผ, 2017. 2. ๊น€ํ™ํฌ.OBJECTIVE: Bone resorption is a severe problem in inflammatory diseases such as periodontitis and rheumatoid arthritis (RA). Osteoclasts are responsible for bone resorption and CCL19 and CCL21 act as chemokines for several cell types. The purpose of this study was to investigate the role of CCL19 and CCL21 in bone resorption by osteoclasts. METHODS: The levels of CCL19, CCL21 and CCR7 in RA and osteoarthritis patient samples were measured using ELISA. Data deposited to gene expression omnibus was also analyzed. The expression levels of these molecules and differentiation markers of osteoclasts were measured by real time polymerase chain reaction (PCR), western blotting or flow cytometry. Osteoclast differentiation was evaluated by tartate-resistant acid phosphatase staining and osteoclast migration was assessed with transwell assay and Oris migration assay kits. Resorption activity was performed with calcium phosphate-coated dishes or dentin slices, which were analyzed by von Kossa staining or confocal microscopy, respectively. Involvement of CCR7 was demonstrated with the small interference RNA system and contribution of GTPase Rho was investigated by the Rho pull-down assay. Collagen transplantation model was used to examine the in vivo effects of these chemokines. RESULTS: The expression levels of CCL19, CCL21 and CCR7 were higher in RA patient samples compared to OA or normal samples. Bone marrow macrophages and osteoclasts expressed more CCR7 in response to the stimulation of TNF, IL-1 and LPS. CCL19 and CCL21 promoted the migration and resorption activity of both bone marrow macrophages and osteoclasts. Knock-down of CCR7 significantly reduced the CCL19- and CCL21-induced migration. Moreover, CCL19 and CCL21 stimulated small GTPase Rho and its downstream molecule, ROCK. Rho inhibitors suppressed both the migration and resorption activity of BMMs and osteoclasts. It demonstrates that the increase of migration and bone resorption by CCL19 and CCL21 was mediated by the CCR7/Rho axis. Collagen transplantation study showed that CCL19 and CCL21 can promote bone resorption in vivo. CONCLUSION: This study indicates that under inflammatory conditions, osteoclast precursors increase the CCR7 expression. CCL19 and CCL21 are up-regulated in RA patients and enhance the osteoclast migration and resorption activity, resulting in severe bone destruction. This study suggests that neutralizing antibody for CCL19 and CCL21 or CCR7 knock-down are potential therapeutic strategies for periodontitis and RA.I. Introduction 1 1. Roles of osteoblasts and osteoclasts in bone remodeling 1 2. Rheumatoid arithritis and osteoclasts 5 3. Osteoclast migration and bone resorption 8 4. Roles of CCL19/CCL21 and CCR7 in rheumatoid arithritis 13 5. Purpose of this study 17 II. Materials and Methods 19 1. Reagents 19 2. Bone marrow-derived macrophage (BMM) generation 19 3. Osteoclast differentiation 20 4. Enzyme-linked immunosorbent assay (ELISA) 20 5. Quantification of mRNA 21 6. Western blotting analysis 21 7. TRAP staining 22 8. Cytotoxicity assay 22 9. Flow cytometry 23 10. Small interference RNA transfection 23 11. Cell migration assay 24 12. Rho pull-down assay 25 13. von Kossa staining 25 14. Dentin resorption and confocal microscopy 25 15. Confocal fluorescence microscopy 26 16. In vivo mouse calvariae resorption assay 26 17. Statistical analysis 27 18. Institutional Review Board (IRB) 27 III. Results 28 1. Increased expression of CCR7 increased in synovial macrophages of RA patients 28 2. Expression levels of CCL19, CCL21 and CCR7 increased in synovial tissues of RA patients 31 3. Increased mRNA expression level of CCR7 in response to inflammatory stimuli 34 4. Increased protein expression level of CCR7 in response to inflammatory stimuli 37 5. Effects of CCL19 and CCL21 on osteoclast differentiation 40 6. Regulation of osteoclast migration activity by CCL19 and CCL21 44 7. CCL19 and CCL21 increase osteoclast migration through CCR7 47 8. CCL19 and CCL21 increase osteoclast resorption activity 49 9. CCL19 and CCL21 increase osteoclast actin ring density 53 10. CCL19 and CCL21 stimulate osteoclasts via Rho 55 11. Rho inhibitors suppress CCL19- and CCL21-induced osteoclast migration and resorption activity 58 12. CCL19 and CCL21 increase mouse calvariae resorption 61 13. LPS accentuates the CCL19-induced calvariae resorption 64 IV. Discussion 66 V. References 75 ๊ตญ๋ฌธ์ดˆ๋ก 89Docto

    Dynamic Voltage Drop Estimation of PDN Using Elmore Metric

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2021. 2. ๊น€์žฌํ•˜.Elmore metric ์œผ๋กœ ๊ฐ„์†Œํ™”ํ•œ ํŒŒ์›Œ ๋„คํŠธ์›Œํฌ ์‹œ์Šคํ…œ๊ณผ ํšŒ๋กœ ๋™์ž‘์„ ๋ชจ์‚ฌํ•œ PWL(์‚ผ๊ฐํŒŒํ˜•) ์ž…๋ ฅ ์ „๋ฅ˜๋ฅผ ์ด์šฉํ•ด ๋™์  ๊ณผ๋„ ์ „์•• ๊ฐ•ํ•˜๋ฅผ ์˜ˆ์ธกํ•œ๋‹ค. ์ „๋ ฅ ๋ฌด๊ฒฐ์„ฑ ๊ฒ€์ฆ์„ ์œ„ํ•œ ๋ณดํŽธ์ ์œผ๋กœ ์ด์šฉ๋˜๋Š” full-chip ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํŒŒ์›Œ ๋„คํŠธ์›Œํฌ์™€ ํ•˜์œ„ ํšŒ๋กœ๋ฅผ ๋ถ„ํ• ํ•˜์—ฌ ๊ด€์ฐฐํ•œ๋‹ค. ์‹œ์Šคํ…œ์— ํ•ด๋‹นํ•˜๋Š” mesh ๊ตฌ์กฐ์˜ ํŒŒ์›Œ ๋„คํŠธ์›Œํฌ์—์„œ ๋…ธ๋“œ ๊ฐ„ ์ „๋‹ฌ ํ•จ์ˆ˜๋ฅผ 1์ฐจ๋กœ ๊ทผ์‚ฌํ•˜๊ณ , ํ•˜์œ„ ํšŒ๋กœ์—์„œ์˜ ์Šค์œ„์นญ ๋™์ž‘์„ ๋ฐ˜์˜ํ•œ ๊ณผ๋„ ์ „๋ฅ˜(transient current) ๋ฅผ PWL ํ˜•ํƒœ๋กœ ๋ชจ์‚ฌํ•œ๋‹ค. ์ด ๋‘ ๊ทผ์‚ฌ ๋ชจ๋ธ์„ ์ด์šฉํ•ด ๋™์  ๊ณผ๋„ ์ „์••์„ exponential ํ˜•ํƒœ๋กœ ํ‘œํ˜„ํ•œ๋‹ค. ์ด๋•Œ ์œ ๋„๋œ ์ˆ˜์‹์€ ์ค‘์ฒฉ(superposition) ํ˜•ํƒœ๋กœ ๋ณ‘๋ ฌ ์—ฐ์‚ฐ์œผ๋กœ ์—ฐ์‚ฐ์˜ ํšจ์œจ์„ ๊ทน๋Œ€ํ™”ํ•œ๋‹ค. ๊ณผ๋„ ์ „์•• ๊ฐ•ํ•˜์˜ ํ•˜ํ•œ ๋ฒ”์œ„ ๋˜ํ•œ ์ˆ˜์‹์ ์œผ๋กœ ํ’€์–ด๋‚ด์–ด, ์ถ”์ • ๊ฐ’์„ ๋ณด๋‹ค pessimistic ํ•˜๊ฒŒ ๊ด€์ฐฐํ•  ์ˆ˜ ์žˆ๋‹ค. Y-โˆ† ๋ณ€ํ™˜์„ ์ด์šฉํ•ด mesh ๊ตฌ์กฐ์˜ ํŒŒ์›Œ ๋„คํŠธ์›Œํฌ์—์„œ ์ €ํ•ญ ํ–‰๋ ฌ์ด ๊ฐ–๋Š” diagonally-dominant ์†์„ฑ์„ ๋ณด์ด๊ณ , ์ด๋ฅผ ํ™œ์šฉํ•ด ์ „์•• ๊ฐ•ํ•˜์˜ ํ•˜ํ•œ ๋ฒ”์œ„๋ฅผ ์œ ๋„ํ•˜์˜€๋‹ค. IBM/ISCAS benchmark ๋ฅผ ์ด์šฉํ•ด SPICE ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋Œ€๋น„ ์ตœ๋Œ€ ์†๋„ ์ด๋“ 7.75 ๋ฐฐ์—์„œ rms ์˜ค์ฐจ 1% ์ดํ•˜์˜ ์ •ํ™•๋„๋ฅผ ์–ป์–ด ์ œ์•ˆํ•œ ๋ฐฉ๋ฒ•๋ก ์˜ ํšจ์šฉ์„ฑ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋˜ํ•œ ๊ณผ๋„ ์ „์•• ๊ฐ•ํ•˜๋ฅผ ๊ฐœ์„ ํ•˜๊ธฐ ์œ„ํ•œ ๋””์ปคํ”Œ๋ง ์ปคํŒจ์‹œํ„ฐ ์‚ฝ์ž… ํ˜น์€ ํŒŒ์›Œ ํŒจ๋“œ ์œ„์น˜ ์กฐ์ • ๋“ฑ์„ ๋น ๋ฅด๊ฒŒ ํ…Œ์ŠคํŠธํ•˜๋Š”๋ฐ ์ด์šฉํ•  ์ˆ˜ ์žˆ๋‹ค.Dynamic transient voltage drops predicted using the simplified power network system by Elmore metric and PWL(triangular waveform) input current reflecting circuits switching activities. For power integrity verification, instead of the commonly used full-chip simulation, we divide the power network and sub-circuits. The transfer function of mesh structure power network is approximated by first order and transient current reflecting the switching operation is approximated in PWL form. Using these two approximate models, the dynamic transient voltage is expressed in exponential form. The derived equation maximizes efficiency through parallel operation with superposition type expression. The lower bound also be derived to observe the estimated value more pessimistically. The diagonally-dominant characteristics of the resistance matrix in mesh-structured power network are shown using Y-โˆ† transformation. With benchmark, the proposed methodology has a speed-gain of up to 7.75 times and an accuracy of less than 1% rms error at 7.75 times compared to SPICE simulation. It can also be used to quickly test the insertion of decoupling capacitor or adjustment of the power pad position to improve transient voltage drop.์ œ๏ผ‘์žฅ ์„œ ๋ก  ์ œ๏ผ‘์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ์ œ๏ผ’์ ˆ ๋…ผ๋ฌธ์˜ ๊ตฌ์„ฑ ์ œ๏ผ’์žฅ ๋ฐฐ๊ฒฝ ์ด๋ก  ์ œ๏ผ‘์ ˆ ์ •์ /๋™์  ์ „์•• ๊ฐ•ํ•˜ ์ œ๏ผ’์ ˆ ๋™์  ์ „์•• ๊ฐ•ํ•˜ ๊ฒ€์ถœ ๋ฐฉ๋ฒ•๋ก  ์ข…๋ฅ˜ ์ œ๏ผ“์ ˆ Elmore Delay ์†Œ๊ฐœ ๋ฐ ์ „์ œ ์กฐ๊ฑด ์ œ๏ผ“์žฅ ์ œ์•ˆํ•˜๋Š” ๊ณผ๋„ ์ „์•• ๊ฐ•ํ•˜ ๊ฒ€์ถœ ๋ฐฉ๋ฒ•๋ก  ์ œ๏ผ‘์ ˆ PDN ๋ชจ๋ธ ๋ฐ MNA ํ˜•์‹ ์ œ๏ผ’์ ˆ ๋™์  ๊ณผ๋„ ์ „์•• ๊ฐ•ํ•˜ ์ˆ˜์‹ ์œ ๋„ ์ œ๏ผ‘ํ•ญ ์šฉ์–ด ์ •์˜ ์ œ๏ผ’ํ•ญ ๋‹จ์œ„ ๊ณ„๋‹จ ํ•จ์ˆ˜(unit step function) ์ž…๋ ฅ ์ „๋ฅ˜์— ๋Œ€ํ•œ ์ถœ๋ ฅ ์ „์•• ๊ฐ•ํ•˜ ์ถ”์ • ์ œ๏ผ“ํ•ญ PWL(์‚ผ๊ฐํŒŒํ˜•) ์ž…๋ ฅ ์ „๋ฅ˜์— ๋Œ€ํ•œ ์ถœ๋ ฅ ์ „์•• ๊ฐ•ํ•˜ ์ถ”์ • ์ œ๏ผ“์ ˆ Worst-case ์ถ”์ •์„ ์œ„ํ•œ ํ•˜ํ•œ ๋ฒ”์œ„ ์ˆ˜์‹ ์œ ๋„ ์ œ๏ผ”์žฅ ๋ฐฉ๋ฒ•๋ก  ์ ์šฉ ๊ฒฐ๊ณผ ์ œ๏ผ‘์ ˆ Tool Flow ์†Œ๊ฐœ ์ œ๏ผ’์ ˆ Iteration Approach ์ œ๏ผ“์ ˆ Toy Example ๊ฒฐ๊ณผ ์ œ๏ผ”์ ˆ IBM Benchmark ๊ฒฐ๊ณผ ์ œ๏ผ‘ํ•ญ ์˜ˆ์ œ ๊ตฌ์„ฑ ์ œ๏ผ’ํ•ญ ๋ฐฉ๋ฒ•๋ก  ์ ์šฉ ๊ฒฐ๊ณผ ์ œ๏ผ•์ ˆ ISCAS Benchmark ๊ฒฐ๊ณผ ์ œ๏ผ‘ํ•ญ Iteration approach ์ œ๏ผ’ํ•ญ ์˜ˆ์ œ ์†Œ๊ฐœ ๋ฐ ๋ฐฉ๋ฒ•๋ก  ์ ์šฉ ๊ฒฐ๊ณผ ์ œ๏ผ–์ ˆ Possible Explorations / Applications ์ œ๏ผ‘ํ•ญ Decoupling Capacitor Insertion ์ œ๏ผ’ํ•ญ Location of Power Pad ์ œ๏ผ•์žฅ ๊ฒฐ ๋ก Maste

    Periodontal outcome of buccally impacted maxillary canines after orthodontic traction following closed eruption technique

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    ์น˜์˜ํ•™๊ณผ/์„์‚ฌThe aim of this investigation was to evaluate the periodontal status of the buccally impacted maxillary canines after orthodontic traction following closed eruption technique by clinical and radiographic methods and to investigate pre-treatment orthodontic variables affecting the periodontal changes. 54 patients (21 males and 33 females) having one maxillary canine in a buccally impacted position was choosed (impaction group) and a contralateral canine in a normal position served as a control group. Probing depth, bone probing depth, keratinized gingiva width, attached gingiva width, clinical crown length, distance from cemento-enamel junction (CEJ) to alveolar crest (AC) and bone support were measured at 1.4 months after the end of treatment. The following results were observed.1. Probing depth on midbuccal and mesiolingual sides was significant increased in the impaction group (mean difference 0.20 mm, 0.25 mm, respectively, P <0.05). Bone probing depth on mesiolingual and distolingual sides was increased in the impaction group than the control group (mean difference 0.24 mm, 0.48 mm, respectively, P < 0.05).2. The attached gingiva width was significant shorter in the impaction group compared to the control group (mean difference 0.62 mm,P < 0.01). The buccal clinical crown length was longer on the impaction group than the control group (mean difference 1.12 mm, P < 0.001).3. The distance from CEJ to AC was significant longer in the impaction group on mesial and distal sides compared to the control group (mean difference 0.89 mm, 0.82 mm, P < 0.001). There were significant smaller bone supports at mesial and distal sides in impaction group compared to control group (mean difference 7.30%, 8.80%, P < 0.001).4. If the impacted canine was localized at the more mesial angulation (to the horizontal) and the deeper from occlusal plane at the beginning of treatment, the distance from CEJ to AC on distal side was increased significantly at the end of treatment (P < 0.01). These results revealed that forced eruption of the maxillary impacted canine after orthodontic traction following closed eruption technique, resulted in significant gingival recession on the buccal side and alveolar bone loss on the interproximal sides. Initial intraosseous position and the inclination of impacted canine were related with the periodontal changes.ope

    Career Guidance at Higher Education Level in Korea

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    ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ๋Œ€ํ•™ ๋‚ด ์ง€๋„์„œ๋น„์Šค์˜ 1์ฐจ ์ˆ˜ํ˜œ์ž์ธ ๋Œ€ํ•™์ƒ์˜ ์ง„๋กœ๊ฐœ๋ฐœ์—ญ๋Ÿ‰์ด ํ•จ์–‘๋  ์ˆ˜ ์žˆ๋Š” ์ง„๋กœ์ง€๋„ ๋ฐฉ์•ˆ์„ ๋ชจ์ƒ‰ํ•˜๊ณ , ๊ถ๊ทน์ ์œผ๋กœ๋Š” ์ตœ์ข…์ˆ˜ํ˜œ์ž์ธ ๊ธฐ์—…๊ณผ ๊ตญ๊ฐ€๊ฐ€ ๋Œ€ํ•™์—์„œ ์–‘์„ฑ๋œ ์ธ์ ์ž์›์„ ํšจ๊ณผ์ ์œผ๋กœ ํ™œ์šฉํ•˜์—ฌ ๊ทธ ๊ฒฝ์Ÿ๋ ฅ์„ ํ™•๋ณดํ•  ์ˆ˜ ์žˆ๋Š” ๋Œ€ํ•™ ๋‚ด ์ง„๋กœ์ง€๋„ ๋ฐฉ์•ˆ์„ ์ œ์•ˆํ•˜๋Š” ๊ฒƒ์ด๋‹ค.The Research aims at presenting a new career guidance service that could systematically support career development competency among all university students from freshmen all the way up to seniors. It has been pointed out that career guidance services provided by 161 universities in Korea are too focused on "recruitment" rather than "holistic student's career development". This problem causes the lack of continuity and professionalism in the area of career guidance service at higher educational level. However, fundamentally, those problems are integrated such as failures of career guidance at the levels of elementary to high schools, lack of communications and coordination between universities and companies, and undue emphasis on short term performances in the process of career guidance service in reality. The case has also been made for the strong need for university students to raise career competency that would allow them to effectively cope with possible unemployment after graduation . The experience of the "unemployment" comes on the heels of graduation can decisively weaken a sense of economic independence and a positive role they could play in society. Therefore, the role of career guidance service has been noted that it needs to help harmonize students' career plans with the human resources needs of companies the ultimate beneficiaries of such service. This situation has provided a context in which the Research has been launched, with the following four questions: First, what institutions are there that provide career service in universities and what are their roles? Second, what is the demanding needs form universities, companies and students on the issues of career guidance service respectively? Third, what is the best delivery structure of integrated career guidance service among instituties? Fourth, what is the best way for realization those suggestions on career guidance service in Korea? Chapter 2 classifies the services provided by the 161 universities into on-line and off-line career guidance services in trying to answer the first question. Chapter 3 surveys needs among students, career guidance professionals in universities and companies through questionnaires, conference calls and interviews, correspondingly. The questionnaires found that 60.9% of the students asked have never received on-campus career development service. Most of those who have received career guidance services are juniors and seniors (74.5%). Also found was that most of the experiences in career development service were from recruitment-oriented one-time events such as special lectures and seminars. Both the suppliers and beneficiaries of university career guidance service were found to demand, first and foremost, that career guidance institutions be strengthened in terms of personnel and finance. Following such demand was the request for putting in place systematic career development programs. Chapter 4 is a case study of career guidance service in U.S. universities concerning how it is structured and provided as well as how it develops and applies competency-oriented career development strategies. Chapter 4 also identifies four implications that it has for Korea. First, there is a need for cooperation between career guidance service and various other university-based institutions on campus. Second, career service needs to be specialized so that it can be provided at the faculty or department level. Third, the focus of career guidance service should shift from one-off events to continuous and synergistic approaches. Fourth, a blueprint for career guidance service should contain a roadmap that addresses each grade specifically. Career guidance service should also be an enabler that empowers students to set up and manage their own career goals. Chapter 5 recommends ways for better career guidance service in universities through the following 4 research questions:...์—ฐ๊ตฌ์š”์•ฝ I. ์„œ๋ก  1 1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ ๋ฐ ๋ชฉ์  1 2. ์—ฐ๊ตฌ์˜ ๋‚ด์šฉ ๋ฐ ๋ฐฉ๋ฒ• 9 3. ์šฉ์–ด ์ •์˜ 15 II. ๋Œ€ํ•™์˜ ์ง„๋กœ์ง€๋„ 17 1. 4๋…„์ œ ์ผ๋ฐ˜๋Œ€ํ•™์˜ ์ง„๋กœ์ง€๋„ ์œ ํ˜•ํ™” 17 2. On-line ์ง„๋กœ์ง€๋„ 20 3. Off-line ์ง„๋กœ์ง€๋„ 24 III. ๋Œ€ํ•™ ๋‚ด ์ง„๋กœ์ง€๋„ ์š”๊ตฌ ๋ถ„์„ 33 1. ๋Œ€ํ•™์ƒ์˜ ์ง„๋กœ์ง€๋„ ์š”๊ตฌ 33 2. ๋Œ€ํ•™ ๋ฐ ๊ธฐ์—…์˜ ์ง„๋กœ์ง€๋„ ์š”๊ตฌ 56 IV . ๋ฏธ๊ตญ ๋Œ€ํ•™์˜ ์ง„๋กœ์ง€๋„ ์‚ฌ๋ก€ 61 1. ๋Œ€ํ•™ ๋‚ด ์ง„๋กœ์ง€๋„ ์œ ํ˜• 63 2. ๋Œ€ํ•™ ๋‚ด ์ง„๋กœ์ง€๋„ ์ฃผ์š” ๋‚ด์šฉ 69 3. ์—ญ๋Ÿ‰์ค‘์‹ฌ์˜ ์ง„๋กœ๊ฐœ๋ฐœ์ „๋žต ๋ฐ ํ™œ์šฉ 81 4. ์šฐ๋ฆฌ๋‚˜๋ผ ์ง„๋กœ์ง€๋„์— ์ฃผ๋Š” ์‹œ์‚ฌ์  90 V . ๋Œ€ํ•™์˜ ํšจ์œจ์ ์ธ ์ง„๋กœ์ง€๋„ ๋ฐฉ์•ˆ 93 1. ๋Œ€ํ•™ ๋‚ด ์ง„๋กœ์ง€๋„์˜ ์ตœ์ข… ์„ฑ๊ณผ 94 2. ๋Œ€ํ•™ ๋‚ด ์ง„๋กœ์ง€๋„์˜ ๋‚ด์šฉ์ฒด๊ณ„ 96 3. ๋Œ€ํ•™ ๋‚ด ์ง„๋กœ์ง€๋„ ์ „๋‹ฌ์„ ์œ„ํ•œ ์ฒด์ œ 103 4. ๋Œ€ํ•™ ๋‚ด ํšจ์œจ์ ์ธ ์ง„๋กœ์ง€๋„์˜ ์„ฑ๊ณต ์กฐ๊ฑด 108 ์ฐธ ๊ณ  ๋ฌธ ํ—Œ 117 ABSTRA CT 121 ๋ถ€ ๋ก 12
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