红细胞膜和血清脂肪酸在炎性肠病鉴别诊断中的价值

M. Kruchinina, I. O. Svetlova, M. Osipenko, N. V. Abaltusova, A. Gromov, M. Shashkov, A. Sokolova, I. Yakovina, A. V. Borisova
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The study of fatty acids (FA) composition of RBC membranes and BS was carried out using GC/MS system based on three Agilent 7000B quadrupoles (USA).Results. The most significant for distinguishing active UC from CD exacerbation were serum levels of elaidin (p = 0.0006); docosatetraenoic (n-6) (p = 0.004); docodienic (n-6) (p = 0.009); omega-3/omega-6 ratio (p = 0.02); docosapentaenoic (n-3) (p = 0.03); the sum of eicosapentaenoic and docosahexaenoic (p = 0.03), as well as the content of RBC lauric FA (p = 0.04) (AUC — 0.89, sensitivity — 0.91, specificity — 0.89, diagnostic accuracy — 0.91). To distinguish active UC from the same of UCC, the following serum FA were found to be significant: alpha-linolenic; saturated (pentadecanoic, palmitic, stearic, arachidic); monounsaturated (palmitoleic, oleic); omega-6 (hexadecadienic, arachidonic) (p = 0.00000011—0.03300000) (AUC — 0.995, sensitivity — 0.98, specificity — 0.96, diagnostic accuracy — 0.97). The most significant in distinguishing patients with active CD from UCC exacerbation were levels of the following FA: alpha-linolenic; palmitoleic; oleic; the amount of saturated fatty acids (SFA); total unsaturated fatty acids (UFA); stearic; monounsaturated fatty acids (MUFA) amount; SFA/UFA; SFA/PUFA (polyunsaturated fatty acids); linoleic; total PUFA n6; lauric; arachidic acid (p = 0.0000000017–0.030000000) (AUC — 0.914, sensitivity — 0.90, specificity — 0.87, diagnostic accuracy — 0.91).Conclusion. The study of FA levels in groups with different nosological forms of IBDs using complex statistical analysis, including machine learning methods, made it possible to create diagnostic models that differentiate CD, UC and UCC in the acute stage with high accuracy. 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引用次数: 1

摘要

目的:研究炎症性肠病(IBDs)患者红细胞膜(RBC)和血清(BS)中的脂肪酸水平,建立包括脂肪酸作为生物标志物的鉴别诊断模型,以区分IBDs的分类学实体(溃疡性结肠炎- UC,克罗恩病- CD,未分类结肠炎- UCC)。材料和方法。我们研究了110例ibd患者(平均年龄37,7±12,1岁)和53例健康对照组(43,3±11,7岁)。IBDs组包括50例UC患者,41例CD患者,19例UCC患者。42例(84%)UC患者、34例(82.9%)CD患者和11例(57.9%)UCC患者病情加重。采用美国Agilent 7000B四极杆气相色谱/质谱系统对红细胞膜和BS的脂肪酸组成进行了研究。区分活动性UC与CD加重最显著的指标是血清elaidin水平(p = 0.0006);二十二碳四烯(n-6) (p = 0.004);Docodienic (n-6) (p = 0.009);Omega-3 /omega-6比值(p = 0.02);Docosapentaenoic (n-3) (p = 0.03);二碳五烯和二十二碳六烯的总和(p = 0.03),以及红细胞月桂酸FA的含量(p = 0.04) (AUC = 0.89,敏感性- 0.91,特异性- 0.89,诊断准确性- 0.91)。为了区分活动性UC和UCC,我们发现以下血清FA是显著的:α -亚麻酸;饱和(五烷酸、棕榈酸、硬脂酸、花生酸);单不饱和脂肪酸(棕榈烯酸、油酸);omega-6(十六烷二烯,花生四烯)(p = 0.00000011-0.03300000) (AUC - 0.995,敏感性- 0.98,特异性- 0.96,诊断准确性- 0.97)。区分活动性CD患者和UCC加重患者最重要的是以下FA水平:α -亚麻酸;9 -十六碳烯;油的;饱和脂肪酸(SFA)量;总不饱和脂肪酸;硬脂酸的;单不饱和脂肪酸(MUFA)量;国家林业局/乌法;SFA/PUFA(多不饱和脂肪酸)亚麻油酸;总PUFA n6;十二烷;花生酸(p = 0.0000000017-0.030000000) (AUC = 0.914,敏感性- 0.90,特异性- 0.87,诊断准确性- 0.91)。利用复杂的统计分析方法(包括机器学习方法)对ibd不同病种组的FA水平进行研究,可以创建诊断模型,以高精度区分急性期的CD, UC和UCC。该方法有望用于ibd病种的鉴别诊断。
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Fatty Acids of Erythrocyte Membranes and Blood Serum in Differential Diagnosis of Inflammatory Bowel Diseases
Aim: to study fatty acid levels in erythrocyte membranes (RBC) and blood serum (BS) in patients with inflammatory bowel diseases (IBDs) to develop differential diagnostic models including fatty acids as biomarkers to distinguish between nosological entities of IBDs (ulcerative colitis — UC, Crohn's disease — CD, unclassified colitis — UCC).Materials and methods. We examined 110 patients (mean age 37,7 ± 12,1 years) with IBDs and 53 healthy patients in control group (43,3 ± 11,7 years). The IBDs group included 50 patients with UC, 41 patients with CD, 19 patients with UCC. An exacerbation of the disease was revealed in 42 patients (84 %) with UC, 34 patients with CD (82.9 %) and 11 people with UCC (57.9 %). The study of fatty acids (FA) composition of RBC membranes and BS was carried out using GC/MS system based on three Agilent 7000B quadrupoles (USA).Results. The most significant for distinguishing active UC from CD exacerbation were serum levels of elaidin (p = 0.0006); docosatetraenoic (n-6) (p = 0.004); docodienic (n-6) (p = 0.009); omega-3/omega-6 ratio (p = 0.02); docosapentaenoic (n-3) (p = 0.03); the sum of eicosapentaenoic and docosahexaenoic (p = 0.03), as well as the content of RBC lauric FA (p = 0.04) (AUC — 0.89, sensitivity — 0.91, specificity — 0.89, diagnostic accuracy — 0.91). To distinguish active UC from the same of UCC, the following serum FA were found to be significant: alpha-linolenic; saturated (pentadecanoic, palmitic, stearic, arachidic); monounsaturated (palmitoleic, oleic); omega-6 (hexadecadienic, arachidonic) (p = 0.00000011—0.03300000) (AUC — 0.995, sensitivity — 0.98, specificity — 0.96, diagnostic accuracy — 0.97). The most significant in distinguishing patients with active CD from UCC exacerbation were levels of the following FA: alpha-linolenic; palmitoleic; oleic; the amount of saturated fatty acids (SFA); total unsaturated fatty acids (UFA); stearic; monounsaturated fatty acids (MUFA) amount; SFA/UFA; SFA/PUFA (polyunsaturated fatty acids); linoleic; total PUFA n6; lauric; arachidic acid (p = 0.0000000017–0.030000000) (AUC — 0.914, sensitivity — 0.90, specificity — 0.87, diagnostic accuracy — 0.91).Conclusion. The study of FA levels in groups with different nosological forms of IBDs using complex statistical analysis, including machine learning methods, made it possible to create diagnostic models that differentiate CD, UC and UCC in the acute stage with high accuracy. The proposed approach is promising for the purposes of differential diagnosis of nosological forms of IBDs.
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CiteScore
1.90
自引率
0.00%
发文量
44
审稿时长
8 weeks
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