BioProject
LC-MS/MS를 이용한 인체 혈장 내 일반적인 지질 대사물 분석을 통한 복부비만 유무에 따른 당뇨 진행 정도 확인
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AccessionKAP240414
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Submission date2023-03-28
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Technique type
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Mass spectrometry (MS) |
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Assay Type
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Chromatography (MS-based) |
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Species
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Homo sapiens |
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샘플 유형
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Human |
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추출 프로토콜
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Plasma lipids were extracted by using the Matyash method with some modifications. Briefly, plasma (10 μL) was aliquoted in an Eppendorf tube containing the internal lipid standard mixture (40–400 ng/mL). Four hundred microliters of ice-cold 75% methanol with 0.1% butylated hydroxytoluene (BHT) was added to the plasma sample. Next, 1 mL MTBE was added, and the mixture was shaken for 1 h at room temperature. For phase separation, 250 μL of water was added, and centrifuged (14,000 x g, 4˚C, 15 min). The upper phase was transferred to a new tube, dried under vacuum and reconstituted in 100 μL chloroform/methanol (1:9, v/v).
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크로마토그래피 프로토콜
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Semi-quantitative lipid profiling was performed with reversed phase Kinetex C18 column (100 × 2.1 mm, 2.6 μm, Phenomenex, Torrance, CA, USA) for chromatographic separation of lipids. The mobile phase A consisted of water/methanol (1:9, v/v) containing 10 mM ammonium acetate, and the mobile phase B consisted of isopropanol/methanol (5:5, v/v) containing 10 mM ammonium acetate. The gradient elution program was as follows: 0 min (30% B), 0–15 min (95% B), 15–20 min (95% B), and 20–25 min (30% B). The flow rate was set a 200 μL/min. Five microliters of sample were injected for each run.
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질량분석 프로토콜
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Semi-quantitative lipid profiling was performed by using a Nexera2 LC system (Shimadzu Corporation, Kyoto, Japan) connected to a triple quadrupole mass spectrometer (LC-MS 8040; Shimadzu, Kyoto, Japan) for chromatographic separation of lipids.
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프로젝트의 영문 제목
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Confirmation of diabetes progression according to the presence or absence of abdominal obesity through the analysis of general lipid metabolites in human plasma using LC-MS/MS | ||||||||||||
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프로젝트의 국문 제목
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LC-MS/MS를 이용한 인체 혈장 내 일반적인 지질 대사물 분석을 통한 복부비만 유무에 따른 당뇨 진행 정도 확인 | ||||||||||||
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프로젝트의 영문 설명
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Abdominal or visceral obesity is a well-known risk factor for metabolic diseases. However, whether abdominal obesity significantly affects plasma lipid profile during the development of type 2 diabetes has not been fully elucidated. We investigated the differences in plasma lipid concentrations in 63 participants categorized into six groups (middle-aged Korean men); Normal, Pre-diabetes (pre-DM), and Diabetes mellitus (DM) with or without abdominal obesity (AO or lean). The lipidomic profiles were determined by using liquid chromatography-tandem mass spectrometry (LC-MS/MS). | ||||||||||||
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프로젝트의 국문 설명
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복부 또는 내장 비만은 대사 질환의 잘 알려진 위험 요소입니다. 그러나 제2형 당뇨병이 발병하는 동안 복부 비만이 혈장 지질 프로파일에 유의미한 영향을 미치는지 여부는 완전히 밝혀지지 않았습니다. 6개 그룹(한국 중년 남성, 복부 비만이 있거나 없는 정상, 당뇨병 전단계 및 당뇨병 환자)으로 분류된 63명의 참가자를 대상으로 혈장 지질 농도의 차이를 조사했습니다. 액체 크로마토그래피-탠덤 질량 분석법(LC-MS/MS)을 사용하여 지질 프로파일을 조사하였습니다. | ||||||||||||
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Date and Organization
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Grant
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Publication and Patent
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| File Name | Size | Type | Published | Download | |
|---|---|---|---|---|---|
| 1-1.lcd | 2,813,952 2,813,952 | lcd | 2023-12-01 | ||
| 1-10.lcd | 3,178,496 3,178,496 | lcd | 2023-12-01 | ||
| 1-2.lcd | 3,158,016 3,158,016 | lcd | 2023-12-01 | ||
| 1-3.lcd | 3,170,304 3,170,304 | lcd | 2023-12-01 | ||
| 1-4.lcd | 3,198,976 3,198,976 | lcd | 2023-12-01 | ||
| 1-5.lcd | 3,190,784 3,190,784 | lcd | 2023-12-01 | ||
| 1-6.lcd | 3,207,168 3,207,168 | lcd | 2023-12-01 | ||
| 1-7.lcd | 3,223,552 3,223,552 | lcd | 2023-12-01 | ||
| 1-8.lcd | 3,178,496 3,178,496 | lcd | 2023-12-01 | ||
| 1-9.lcd | 3,190,784 3,190,784 | lcd | 2023-12-01 | ||
| 2-1.lcd | 3,153,920 3,153,920 | lcd | 2023-12-01 | ||
| 2-10.lcd | 3,203,072 3,203,072 | lcd | 2023-12-01 | ||
| 2-2.lcd | 3,170,304 3,170,304 | lcd | 2023-12-01 | ||
| 2-3.lcd | 3,178,496 3,178,496 | lcd | 2023-12-01 | ||
| 2-4.lcd | 3,203,072 3,203,072 | lcd | 2023-12-01 | ||
| 2-5.lcd | 2,928,640 2,928,640 | lcd | 2023-12-01 | ||
| 2-6.lcd | 3,182,592 3,182,592 | lcd | 2023-12-01 | ||
| 2-7.lcd | 3,203,072 3,203,072 | lcd | 2023-12-01 | ||
| 2-8.lcd | 3,182,592 3,182,592 | lcd | 2023-12-01 | ||
| 2-9.lcd | 3,178,496 3,178,496 | lcd | 2023-12-01 | ||
| 3-1.lcd | 3,436,544 3,436,544 | lcd | 2023-12-01 | ||
| 3-2.lcd | 3,178,496 3,178,496 | lcd | 2023-12-01 | ||
| 3-3.lcd | 3,153,920 3,153,920 | lcd | 2023-12-01 | ||
| 3-4.lcd | 2,871,296 2,871,296 | lcd | 2023-12-01 | ||
| 3-5.lcd | 3,198,976 3,198,976 | lcd | 2023-12-01 | ||
| 3-6.lcd | 3,190,784 3,190,784 | lcd | 2023-12-01 | ||
| 3-7.lcd | 3,198,976 3,198,976 | lcd | 2023-12-01 | ||
| 3-8.lcd | 3,182,592 3,182,592 | lcd | 2023-12-01 | ||
| 4-1.lcd | 3,198,976 3,198,976 | lcd | 2023-12-01 | ||
| 4-10.lcd | 3,194,880 3,194,880 | lcd | 2023-12-01 | ||
| 4-2.lcd | 2,920,448 2,920,448 | lcd | 2023-12-01 | ||
| 4-3.lcd | 2,936,832 2,936,832 | lcd | 2023-12-01 | ||
| 4-4.lcd | 3,182,592 3,182,592 | lcd | 2023-12-01 | ||
| 4-5.lcd | 2,895,872 2,895,872 | lcd | 2023-12-01 | ||
| 4-6.lcd | 3,223,552 3,223,552 | lcd | 2023-12-01 | ||
| 4-7.lcd | 3,178,496 3,178,496 | lcd | 2023-12-01 | ||
| 4-8.lcd | 3,174,400 3,174,400 | lcd | 2023-12-01 | ||
| 4-9.lcd | 3,162,112 3,162,112 | lcd | 2023-12-01 | ||
| 5-1.lcd | 3,203,072 3,203,072 | lcd | 2023-12-01 | ||
| 5-2.lcd | 3,186,688 3,186,688 | lcd | 2023-12-01 | ||
| 5-3.lcd | 3,440,640 3,440,640 | lcd | 2023-12-01 | ||
| 5-4.lcd | 3,203,072 3,203,072 | lcd | 2023-12-01 | ||
| 5-5.lcd | 3,186,688 3,186,688 | lcd | 2023-12-01 | ||
| 5-6.lcd | 3,178,496 3,178,496 | lcd | 2023-12-01 | ||
| 5-7.lcd | 3,178,496 3,178,496 | lcd | 2023-12-01 | ||
| 5-8.lcd | 3,182,592 3,182,592 | lcd | 2023-12-01 | ||
| 6-1.lcd | 3,170,304 3,170,304 | lcd | 2023-12-01 | ||
| 6-2.lcd | 3,170,304 3,170,304 | lcd | 2023-12-01 | ||
| 6-3.lcd | 2,940,928 2,940,928 | lcd | 2023-12-01 | ||
| 6-4.lcd | 3,182,592 3,182,592 | lcd | 2023-12-01 | ||
| 6-5.lcd | 3,190,784 3,190,784 | lcd | 2023-12-01 | ||
| 6-6.lcd | 3,227,648 3,227,648 | lcd | 2023-12-01 | ||
| 6-7.lcd | 3,186,688 3,186,688 | lcd | 2023-12-01 | ||
| 6-8.lcd | 3,194,880 3,194,880 | lcd | 2023-12-01 | ||
| 6-9.lcd | 3,190,784 3,190,784 | lcd | 2023-12-01 |
KMAP
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