BioProject
간경변 동물 모델에서 Bacteroides 종의 치료 효능 및 작용 기전 다중오믹스 통합 분석
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AccessionKAP241903
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Submission date2025-11-25
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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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Mus musculus |
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샘플 유형
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Model organism or animal |
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추출 프로토콜
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Stool samples (100mg) were extracted by solvent mixture 1 (1.2 mL for stool samples, acetonitrile: water, 1:1, vol/vol) and solvent mixture 2 (0.7 mL for stool samples, acetonitrile: methanol, 1:3, vol/vol). After 5 min of sonication and centrifugation each, the aliquot (160 µL) was transferred to a new vial and concentrated to complete dryness using a speed vacuum concentrator (SCANVAC, Seoul, South Korea). The dried sample was re-constituted with 70% ACN (acetonitrile) (70 µL) for mass-spectrometric analysis.
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Serum samples (100 µL) were extracted by solvent mixture (3.9 mL, methanol: acetonitrile: water, 3:3:2, vol/vol/vol). After 5 min of sonication and centrifugation each, the aliquot (160 µL) was transferred to a new vial and concentrated to complete dryness using a speed vacuum concentrator (SCANVAC, Seoul, South Korea). The dried sample was re-constituted with 70% ACN (acetonitrile) (70 µL) for mass-spectrometric analysis.
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Liver sample (100 mg) were extracted by solvent mixture 1 (1.1 mL for liver samples, acetonitrile: water, 1:1, vol/vol) and solvent mixture 2 (0.6 mL for liver samples, acetonitrile: methanol, 1:3, vol/vol). After 5 min of sonication and centrifugation each, the aliquot (160 µL) was transferred to a new vial and concentrated to complete dryness using a speed vacuum concentrator (SCANVAC, Seoul, South Korea). The dried sample was re-constituted with 70% ACN (acetonitrile) (70 µL) for mass-spectrometric analysis.
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Cecum samples (100 mg) were extracted by solvent mixture 1 (1.2 mL for cecum samples, acetonitrile: water, 1:1, vol/vol) and solvent mixture 2 (0.7 mL for cecum samples, acetonitrile: methanol, 1:3, vol/vol)
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크로마토그래피 프로토콜
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Samples were chromatographically separated by an UltiMate-3000 UPLC system (Thermo Fisher Scientific, Waltham, MA, USA) equipped with 150 × 2.1 mm UPLC BEH 1.7-µm C18 column (Waters, Milford, MA, USA) and 5.0 mm × 2.1 mm UPLC BEH 1.7-µm C18 VanGuard Pre-Column (Waters, Milford, MA, USA). The mobile phase consisted of solvent A (water with 0.1% formic acid) and solvent B (100% acetonitrile with 0.1% formic acid). The flow rate was set to 300 µL/min, and the gradient of solvent B was programmed as follows: 0–2 min, 3%; 2–11 min, 3%–100%; 11–12 min, 100%; 12–15 min, 3%.
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질량분석 프로토콜
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Mass-spectrometry was conducted in polarity-switching ionization mode using Q-Exactive plus Orbitrap (Thermo Fisher Scientific, Waltham, MA, USA) with a heated electrospray ionization probe. Full mass spectrum (MS) scan was operated in the range of 70–1,000 m/z (resolution: 70,000 FWHM at m/z = 200) with automatic gain control target of 1e6 ions and maximum injection time of 100 ms.
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프로젝트의 영문 제목
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Systemic multiomics evaluation of the therapeutic effect of Bacteroides species on liver cirrhosis in male mice | ||||||||||||
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프로젝트의 국문 제목
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간경변 동물 모델에서 Bacteroides 종의 치료 효능 및 작용 기전 다중오믹스 통합 분석 | ||||||||||||
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프로젝트의 영문 설명
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The human gut microbiota plays a pivotal role in maintaining systemic biological homeostasis through the gut-liver axis. Building on this background, this study was initiated to investigate the therapeutic effects of the genus Bacteroides, a prominent member of the human gut microbiota, on liver cirrhosis and to elucidate its underlying mechanisms. To achieve this, we conducted experiments using a male mouse model of induced liver cirrhosis. After administering various therapeutic agents, including Bacteroides dorei and Bacteroides cellulosilyticus, to respective groups, we evaluated the therapeutic efficacy by analyzing physiological changes in the liver and the expression levels of fibrosis-related genes. Furthermore, we employed a multi-omics approach, utilizing ultra-high-performance liquid chromatography-high-resolution mass spectrometry for precise metabolomic profiling of various tissues—including the cecum, feces, liver, and serum—and tracked changes in the gut microbial community composition through 16S rRNA gene sequencing. | ||||||||||||
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프로젝트의 국문 설명
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인간의 장내 미생물총은 장과 간의 상호작용 축(Gut-Liver Axis)을 통해 전신의 생물학적 항상성을 유지하는 데 핵심적인 역할을 합니다. 본 연구는 이러한 배경을 바탕으로, 인간의 장에 서식하는 주요 미생물 중 하나인 박테로이데스(Bacteroides) 속이 간경변(liver cirrhosis)에 미치는 치료 효과와 그 기전을 규명하고자 시작되었습니다. 이를 위해 간경변을 유발한 수컷 마우스 모델을 대상으로 실험을 진행했습니다. 각 그룹에 Bacteroides dorei와 Bacteroides cellulosilyticus를 포함한 여러 치료 물질을 투여한 뒤, 간의 생리학적 변화와 섬유화 관련 유전자 발현 수준을 분석하여 치료 효과를 평가했습니다. 또한, 다중오믹스(multi-omics) 접근법을 도입하여, 초고성능 액체 크로마토그래피-고해상도 질량분석기를 이용해 맹장, 분변, 간, 혈청 등 다양한 조직의 대사체 프로파일을 정밀 분석하고, 16S rRNA 유전자 시퀀싱을 통해 장내 미생물 군집의 변화를 추적했습니다. | ||||||||||||
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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 | |
|---|---|---|---|---|---|
| Cecum_cellulo_1.raw | 86,731,211 86,731,211 | raw | 2026-09-01 | ||
| Cecum_cellulo_2.raw | 87,102,113 87,102,113 | raw | 2026-09-01 | ||
| Cecum_cellulo_3.raw | 86,607,412 86,607,412 | raw | 2026-09-01 | ||
| Cecum_cellulo_4.raw | 86,975,666 86,975,666 | raw | 2026-09-01 | ||
| Cecum_cellulo_5.raw | 86,472,347 86,472,347 | raw | 2026-09-01 | ||
| Cecum_DDC_1.raw | 86,604,740 86,604,740 | raw | 2026-09-01 | ||
| Cecum_DDC_2.raw | 86,414,239 86,414,239 | raw | 2026-09-01 | ||
| Cecum_DDC_3.raw | 89,343,319 89,343,319 | raw | 2026-09-01 | ||
| Cecum_DDC_4.raw | 85,249,231 85,249,231 | raw | 2026-09-01 | ||
| Cecum_DDC_5.raw | 85,930,523 85,930,523 | raw | 2026-09-01 | ||
| Cecum_dorei_1.raw | 88,225,225 88,225,225 | raw | 2026-09-01 | ||
| Cecum_dorei_2.raw | 85,820,552 85,820,552 | raw | 2026-09-01 | ||
| Cecum_dorei_3.raw | 88,033,918 88,033,918 | raw | 2026-09-01 | ||
| Cecum_dorei_4.raw | 86,624,149 86,624,149 | raw | 2026-09-01 | ||
| Cecum_dorei_5.raw | 87,962,458 87,962,458 | raw | 2026-09-01 | ||
| Cecum_normal_1.raw | 88,570,462 88,570,462 | raw | 2026-09-01 | ||
| Cecum_normal_2.raw | 87,177,734 87,177,734 | raw | 2026-09-01 | ||
| Cecum_normal_3.raw | 87,078,584 87,078,584 | raw | 2026-09-01 | ||
| Cecum_normal_4.raw | 88,115,421 88,115,421 | raw | 2026-09-01 | ||
| Cecum_normal_5.raw | 87,360,322 87,360,322 | raw | 2026-09-01 | ||
| Cecum_pooling_1.raw | 87,341,879 87,341,879 | raw | 2026-09-01 | ||
| Cecum_pooling_2.raw | 87,133,607 87,133,607 | raw | 2026-09-01 | ||
| Cecum_pooling_3.raw | 87,012,948 87,012,948 | raw | 2026-09-01 | ||
| Cecum_pooling_4.raw | 86,824,164 86,824,164 | raw | 2026-09-01 | ||
| Cecum_pooling_5.raw | 87,138,256 87,138,256 | raw | 2026-09-01 | ||
| Cecum_UDCA_1.raw | 86,879,630 86,879,630 | raw | 2026-09-01 | ||
| Cecum_UDCA_2.raw | 87,195,925 87,195,925 | raw | 2026-09-01 | ||
| Cecum_UDCA_3.raw | 87,395,701 87,395,701 | raw | 2026-09-01 | ||
| Cecum_UDCA_4.raw | 86,369,118 86,369,118 | raw | 2026-09-01 | ||
| Cecum_UDCA_5.raw | 86,855,750 86,855,750 | raw | 2026-09-01 | ||
| Liver_celluo_1.raw | 74,789,678 74,789,678 | raw | 2026-09-01 | ||
| Liver_celluo_2.raw | 76,152,275 76,152,275 | raw | 2026-09-01 | ||
| Liver_celluo_3.raw | 73,176,230 73,176,230 | raw | 2026-09-01 | ||
| Liver_celluo_4.raw | 76,095,247 76,095,247 | raw | 2026-09-01 | ||
| Liver_celluo_5.raw | 75,428,786 75,428,786 | raw | 2026-09-01 | ||
| Liver_DDC_1.raw | 75,118,830 75,118,830 | raw | 2026-09-01 | ||
| Liver_DDC_2.raw | 73,991,884 73,991,884 | raw | 2026-09-01 | ||
| Liver_DDC_3.raw | 74,841,162 74,841,162 | raw | 2026-09-01 | ||
| Liver_DDC_4.raw | 74,864,313 74,864,313 | raw | 2026-09-01 | ||
| Liver_DDC_5.raw | 74,599,506 74,599,506 | raw | 2026-09-01 | ||
| Liver_dorei_1.raw | 75,927,866 75,927,866 | raw | 2026-09-01 | ||
| Liver_dorei_2.raw | 75,503,269 75,503,269 | raw | 2026-09-01 | ||
| Liver_dorei_3.raw | 75,576,298 75,576,298 | raw | 2026-09-01 | ||
| Liver_dorei_4.raw | 74,330,316 74,330,316 | raw | 2026-09-01 | ||
| Liver_dorei_5.raw | 74,801,610 74,801,610 | raw | 2026-09-01 | ||
| Liver_Normal_1.raw | 75,536,640 75,536,640 | raw | 2026-09-01 | ||
| Liver_Normal_2.raw | 76,202,352 76,202,352 | raw | 2026-09-01 | ||
| Liver_Normal_3.raw | 75,443,125 75,443,125 | raw | 2026-09-01 | ||
| Liver_Normal_4.raw | 75,202,801 75,202,801 | raw | 2026-09-01 | ||
| Liver_Normal_5.raw | 75,587,101 75,587,101 | raw | 2026-09-01 | ||
| liver_pooling_1.raw | 74,072,424 74,072,424 | raw | 2026-09-01 | ||
| liver_pooling_2.raw | 75,499,513 75,499,513 | raw | 2026-09-01 | ||
| liver_pooling_3.raw | 74,952,705 74,952,705 | raw | 2026-09-01 | ||
| liver_pooling_4.raw | 75,415,398 75,415,398 | raw | 2026-09-01 | ||
| liver_pooling_5.raw | 75,720,874 75,720,874 | raw | 2026-09-01 | ||
| Liver_UDCA_1.raw | 73,989,890 73,989,890 | raw | 2026-09-01 | ||
| Liver_UDCA_2.raw | 75,280,039 75,280,039 | raw | 2026-09-01 | ||
| Liver_UDCA_3.raw | 76,271,503 76,271,503 | raw | 2026-09-01 | ||
| Liver_UDCA_4.raw | 76,204,504 76,204,504 | raw | 2026-09-01 | ||
| Liver_UDCA_5.raw | 74,635,655 74,635,655 | raw | 2026-09-01 | ||
| Serum_celluo_1.raw | 71,591,941 71,591,941 | raw | 2026-09-01 | ||
| Serum_celluo_2.raw | 72,182,808 72,182,808 | raw | 2026-09-01 | ||
| Serum_celluo_3.raw | 72,324,096 72,324,096 | raw | 2026-09-01 | ||
| Serum_celluo_4.raw | 72,371,488 72,371,488 | raw | 2026-09-01 | ||
| Serum_celluo_5.raw | 71,815,660 71,815,660 | raw | 2026-09-01 | ||
| Serum_DDC_1.raw | 72,428,478 72,428,478 | raw | 2026-09-01 | ||
| Serum_DDC_2.raw | 70,602,574 70,602,574 | raw | 2026-09-01 | ||
| Serum_DDC_3.raw | 71,542,262 71,542,262 | raw | 2026-09-01 | ||
| Serum_DDC_4.raw | 72,445,681 72,445,681 | raw | 2026-09-01 | ||
| Serum_DDC_5.raw | 70,042,590 70,042,590 | raw | 2026-09-01 | ||
| Serum_dorei_1.raw | 70,389,586 70,389,586 | raw | 2026-09-01 | ||
| Serum_dorei_2.raw | 71,735,951 71,735,951 | raw | 2026-09-01 | ||
| Serum_dorei_3.raw | 70,278,046 70,278,046 | raw | 2026-09-01 | ||
| Serum_dorei_4.raw | 71,626,783 71,626,783 | raw | 2026-09-01 | ||
| Serum_dorei_5.raw | 72,461,370 72,461,370 | raw | 2026-09-01 | ||
| Serum_Normal_1.raw | 70,692,432 70,692,432 | raw | 2026-09-01 | ||
| Serum_Normal_2.raw | 71,274,015 71,274,015 | raw | 2026-09-01 | ||
| Serum_Normal_3.raw | 70,966,762 70,966,762 | raw | 2026-09-01 | ||
| Serum_Normal_4.raw | 71,951,916 71,951,916 | raw | 2026-09-01 | ||
| Serum_Normal_5.raw | 72,011,616 72,011,616 | raw | 2026-09-01 | ||
| serum_pooling_1.raw | 71,254,969 71,254,969 | raw | 2026-09-01 | ||
| serum_pooling_2.raw | 70,558,758 70,558,758 | raw | 2026-09-01 | ||
| serum_pooling_3.raw | 72,084,298 72,084,298 | raw | 2026-09-01 | ||
| serum_pooling_4.raw | 72,487,046 72,487,046 | raw | 2026-09-01 | ||
| serum_pooling_5.raw | 71,701,290 71,701,290 | raw | 2026-09-01 | ||
| Serum_UDCA_1.raw | 71,965,816 71,965,816 | raw | 2026-09-01 | ||
| Serum_UDCA_2.raw | 72,183,064 72,183,064 | raw | 2026-09-01 | ||
| Serum_UDCA_3.raw | 71,716,840 71,716,840 | raw | 2026-09-01 | ||
| Serum_UDCA_4.raw | 72,375,049 72,375,049 | raw | 2026-09-01 | ||
| Serum_UDCA_5.raw | 70,973,847 70,973,847 | raw | 2026-09-01 | ||
| stool_4w_celluo_1.raw | 81,006,282 81,006,282 | raw | 2026-09-01 | ||
| stool_4w_celluo_2.raw | 82,765,371 82,765,371 | raw | 2026-09-01 | ||
| stool_4w_celluo_3.raw | 82,852,560 82,852,560 | raw | 2026-09-01 | ||
| stool_4w_celluo_4.raw | 81,489,947 81,489,947 | raw | 2026-09-01 | ||
| stool_4w_DDC_1.raw | 83,134,140 83,134,140 | raw | 2026-09-01 | ||
| stool_4w_DDC_2.raw | 82,262,959 82,262,959 | raw | 2026-09-01 | ||
| stool_4w_DDC_3.raw | 81,834,068 81,834,068 | raw | 2026-09-01 | ||
| stool_4w_DDC_4.raw | 82,476,336 82,476,336 | raw | 2026-09-01 | ||
| stool_4w_dorei_1.raw | 83,100,440 83,100,440 | raw | 2026-09-01 | ||
| stool_4w_dorei_2.raw | 83,834,329 83,834,329 | raw | 2026-09-01 | ||
| stool_4w_dorei_3.raw | 83,518,784 83,518,784 | raw | 2026-09-01 | ||
| stool_4w_dorei_4.raw | 82,542,359 82,542,359 | raw | 2026-09-01 | ||
| stool_4w_Normal_1.raw | 81,702,522 81,702,522 | raw | 2026-09-01 | ||
| stool_4w_Normal_2.raw | 82,701,482 82,701,482 | raw | 2026-09-01 | ||
| stool_4w_Normal_3.raw | 83,432,406 83,432,406 | raw | 2026-09-01 | ||
| stool_4w_Normal_4.raw | 81,728,580 81,728,580 | raw | 2026-09-01 | ||
| stool_4w_pooling_1.raw | 82,691,915 82,691,915 | raw | 2026-09-01 | ||
| stool_4w_pooling_2.raw | 82,751,409 82,751,409 | raw | 2026-09-01 | ||
| stool_4w_pooling_3.raw | 82,825,679 82,825,679 | raw | 2026-09-01 | ||
| stool_4w_pooling_4.raw | 82,074,984 82,074,984 | raw | 2026-09-01 | ||
| stool_4w_UDCA_1.raw | 80,745,154 80,745,154 | raw | 2026-09-01 | ||
| stool_4w_UDCA_2.raw | 83,371,986 83,371,986 | raw | 2026-09-01 | ||
| stool_4w_UDCA_3.raw | 82,336,179 82,336,179 | raw | 2026-09-01 | ||
| stool_4w_UDCA_4.raw | 82,030,397 82,030,397 | raw | 2026-09-01 |
KMAP
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