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눈물 내 단백질 분석을 위한 눈물 수집 방법의 효용성 비교

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dc.contributor.author김응권-
dc.contributor.author김태임-
dc.contributor.author서경률-
dc.contributor.author여아름-
dc.contributor.author이철희-
dc.contributor.author이형근-
dc.date.accessioned2018-03-26T17:13:00Z-
dc.date.available2018-03-26T17:13:00Z-
dc.date.issued2015-
dc.identifier.issn0378-6471-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/157359-
dc.description.abstractPurpose : Although various sampling methods of tears from conjunctival sac have been reported, no previous study compared their effectiveness or efficiency based on protein extraction. By comparing the compliance, volume and protein concentration of each tear sampling method, we searched for the most efficient tear collection method. Methods : Resting tear samples of 14 eyes of normal subjects were collected using Schirmer paper, capillary tube, cellolose acetate rod and 3 different ophthalmic sponges made of different materials and density (Merocel®, KeraCel® and Weck-Cel®). After centrifugation of the collected tear samples, the tear volume and protein concentration were measured for each method. Additionally, the compliance of each tear sampling method was analyzed by numerically representing the amount of discomfort experienced during resting tear collection. Results : The average volume retrieved by each tear sampling method was 9.0 ± 1.1 µL with no significant differences between groups. The average concentration of protein retrieved by each tear sampling method was 5.3 ± 1.2 µg/µL. Merocel® retrieved 7.6 ± 0.61 µg/µL, which was significantly higher than other sampling methods (p < 0.05). The compliance of Merocel® and the capillary tube were the highest, while KeraCel® showed the lowest compliance. Conclusions : Merocel® retrieved the highest amount of protein and showed high compliance and may be the most effective and easily applicable tear sampling method in clinical settings.-
dc.description.statementOfResponsibilityopen-
dc.languageKorean-
dc.publisher대한안과학회-
dc.relation.isPartOfJOURNAL OF THE KOREAN OPHTHALMOLOGICAL SOCIETY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.title눈물 내 단백질 분석을 위한 눈물 수집 방법의 효용성 비교-
dc.title.alternativeComparison of the Effectiveness between Sampling Methods for Protein Analysis of Tear Fluids-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Ophthalmology-
dc.contributor.googleauthor이철희-
dc.contributor.googleauthor여아름-
dc.contributor.googleauthor김태임-
dc.contributor.googleauthor서경률-
dc.contributor.googleauthor김응권-
dc.contributor.googleauthor이형근-
dc.identifier.doi10.3341/jkos.2015.56.11.1677-
dc.contributor.localIdA00831-
dc.contributor.localIdA01080-
dc.contributor.localIdA01870-
dc.contributor.localIdA02346-
dc.contributor.localIdA05013-
dc.contributor.localIdA03303-
dc.relation.journalcodeJ01838-
dc.identifier.eissn2092-9374-
dc.subject.keywordCapillary tube-
dc.subject.keywordOphthalmic sponge-
dc.subject.keywordProtein analysis-
dc.subject.keywordTear fluid-
dc.subject.keywordTear sampling method-
dc.contributor.alternativeNameKim, Eung Kweon-
dc.contributor.alternativeNameKim, Tae Im-
dc.contributor.alternativeNameSeo, Kyuong Yul-
dc.contributor.alternativeNameYeo, Areum-
dc.contributor.alternativeNameLee, Chul Hee-
dc.contributor.alternativeNameLee, Hyung Keun-
dc.contributor.affiliatedAuthorKim, Eung Kweon-
dc.contributor.affiliatedAuthorKim, Tae Im-
dc.contributor.affiliatedAuthorSeo, Kyuong Yul-
dc.contributor.affiliatedAuthorYeo, Areum-
dc.contributor.affiliatedAuthorLee, Chul Hee-
dc.contributor.affiliatedAuthorLee, Hyung Keun-
dc.citation.volume56-
dc.citation.number11-
dc.citation.startPage1677-
dc.citation.endPage1683-
dc.identifier.bibliographicCitationJOURNAL OF THE KOREAN OPHTHALMOLOGICAL SOCIETY, Vol.56(11) : 1677-1683, 2015-
dc.identifier.rimsid42391-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Ophthalmology (안과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers

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