
诊断学理论与实践››2022,Vol. 21››Issue (04): 535-540.doi:10.16150/j.1671-2870.2022.04.021
收稿日期:2021-04-01出版日期:2022-08-25发布日期:2022-11-07通讯作者:范欣生 E-mail:fanxsh126@126.com基金资助:
ZHOU Sifeng1a,2, XU Haishu1b, FAN Xinsheng2(
)
Received:2021-04-01Online:2022-08-25Published:2022-11-07Contact:FAN Xinsheng E-mail:fanxsh126@126.com摘要:
阻塞性睡眠呼吸暂停低通气综合征(obstructive sleep apnea-hypopnea syndrome, OSAHS)是一种以呼吸暂停、低通气、微觉醒等为主要临床表现的睡眠障碍性疾病,其主要病理生理机制为上气道狭窄。目前,OSAHS的发病率呈逐年上升的趋势,但其临床诊断方法仍比较单一,无法做到早期精确诊断。代谢组学作为国际上新兴的一门学科,虽然目前技术发展时间相对较短,但已在医学、药学、毒理学等多个领域获得较大突破,发挥着越来越重要的作用。本文系统回顾了代谢组学在探寻OSAHS生物标志物方面的研究和应用,发现OSAHS会导致一些特殊的代谢产物发生改变,其中包括氨基酸、脂质、酰基肉碱、肠道菌群、磷脂类、芳香烃类、饱和烃类、丙酮以及异戊二烯等,涉及氨基酸代谢、脂质代谢、氧化应激途径、磷脂代谢、内源性大麻素系统等多种代谢途径和作用机制。这些差异性代谢产物存在于患者的多种生物标本中,包括血液、尿液、粪便、唾液、扁桃体组织等,这些OSAHS代谢组学相关的生物标志物,可为早期诊断和鉴别诊断并研究发病机制提供参考。
中图分类号:
周思锋, 徐海舒, 范欣生. 基于不同生物样本代谢组学的OSAHS生物标志物研究进展[J]. 诊断学理论与实践, 2022, 21(04): 535-540.
ZHOU Sifeng, XU Haishu, FAN Xinsheng. Application of metabolomics of different biological samples in study of OSAHS biomarkers[J]. Journal of Diagnostics Concepts & Practice, 2022, 21(04): 535-540.
| [1] | Zhang P, Georgiou CA, Brusic V. Elemental metabolomics[J]. Brief Bioinform, 2018, 19(3):524-536. doi:10.1093/bib/bbw131pmid:28077402 |
| [2] | 唐玥, 韩宇博, 隋艳波, 等. 代谢组学技术在代谢综合征诊疗中的应用进展[J]. 医学综述, 2022, 28(3):579-583. |
| Tang Y, Han YB, Sui YB, et al. Application progress of metabonomics technology in the diagnosis and treatment of metabolic syndrome[J]. Med Rev, 2022, 28(3): 579-583. | |
| [3] | Kennedy AD, Wittmann BM, Evans AM, et al. Metabolomics in the clinic: A review of the shared and unique features of untargeted metabolomics for clinical research and clinical testing[J]. Mass Spectrom, 2018, 53(11):1143-1154. doi:10.1002/jms.4292URL |
| [4] | Chen YC, Hsu PY, Hsiao CC, et al. Epigenetics: A potential mechanism involved in the pathogenesis of various adverse consequences of obstructive sleep apnea[J]. Int J Mol Sci, 2019, 20(12):2937. doi:10.3390/ijms20122937URL |
| [5] | 阻塞性睡眠呼吸暂停低通气综合征诊治指南基层版写作. 阻塞性睡眠呼吸暂停低通气综合征诊治指南(基层版)[J]. 中国呼吸与危重监护杂志, 2015, 14(4):398-405. |
| Guidelines for the diagnosis and treatment of obstructive sleep apnea hypopnea syndrome(Basic Edition)[J]. Chin J Respir Crit Care, 2015, 14 (4): 398-405. | |
| [6] | Selmi C, Montano N, Furlan R, et al. Inflammation and oxidative stress in obstructive sleep apnea syndrome[J]. Exp Biol Med (Maywood), 2007, 232(11):1409-1413. doi:10.3181/0704-MR-103URL |
| [7] | Xu H, Zheng X, Jia W, et al. Chromatography/mass spectrometry-based biomarkers in the field of obstructive sleep apnea[J]. Medicine(Baltimore), 2015, 94(40):e1541. |
| [8] | Pugliese G, Barrea L, Laudisio D, et al. Sleep apnea, obesity, and disturbed glucose homeostasis: epidemiologic evidence, biologic insights, and therapeutic strategies[J]. Curr Obes Rep, 2020, 9(1):30-38. doi:10.1007/s13679-020-00369-ypmid:31970714 |
| [9] | Ma XR, Wang Y, Sun YC. Imbalance of osteoprotegerin/receptor activator of nuclear factor-κB ligand and oxidative stress in patients with obstructive sleep apnea-hypopnea syndrome[J]. Chin Med J (Engl), 2019, 132(1):25-29. |
| [10] | Kapur VK, Auckley DH, et al. Clinical practice guideline for diagnostic testing for adult obstructive sleep apnea: An american academy of sleep medicine clinical practice guideline[J]. J Clin Sleep Med, 2017, 13(3):479-504. doi:10.5664/jcsm.6506pmid:28162150 |
| [11] | 罗雪梅. 代谢组学技术及其在产科的应用[J]. 国际妇产科学杂志, 2011, 38(5): 378-382. |
| Luo XM. Metabonomics technology and its application in obstetrics[J]. Internl J Obstet Gynecol, 2011, 38(5):378-382. | |
| [12] | Emwas AH. The strengths and weaknesses of NMR spectroscopy and mass spectrometry with particular focus on metabolomics research[J]. Methods Mol Biol, 2015, 1277:161-193. |
| [13] | 贾伟. 医学代谢组学[M]. 上海: 上海科学技术出版社, 2011:98-127. |
| Jia W. Medical metabolomics[M]. Shanghai: Shanghai Science and Technology Press, 2011:98-127. | |
| [14] | Engeli S, Blüher M, Jumpertz R, et al. Circulating anandamide and blood pressure in patients with obstructive sleep apnea[J]. J Hypertens, 2012, 30(12):2345-2351. doi:10.1097/HJH.0b013e3283591595pmid:23032139 |
| [15] | Lebkuchen A, Carvalho VM, Venturini G, et al. Metabolomic and lipidomic profile in men with obstructive sleep apnoea: implications for diagnosis and biomarkers of cardiovascular risk[J]. Sci Rep, 2018, 8(1):11270. doi:10.1038/s41598-018-29727-6pmid:30050090 |
| [16] | Ferrarini A, Rupérez FJ, Erazo M, et al. Fingerprinting-based metabolomic approach with LC-MS to sleep apnea and hypopnea syndrome: a pilot study[J]. Electrophoresis, 2013, 34(19):2873-2881. doi:10.1002/elps.201300081pmid:23775633 |
| [17] | Jordan W, Berger C, Cohrs S, et al. CPAP-therapy effectively lowers serum homocysteine in obstructive sleep apnea syndrome[J]. J Neural Transm (Vienna), 2004, 111(6):683-689. |
| [18] | Niu X, Chen X, Xiao Y, et al. The differences in homocysteine level between obstructive sleep apnea patients and controls: a meta-analysis[J]. PLoS One, 2014, 9(4):e95794. doi:10.1371/journal.pone.0095794URL |
| [19] | Li K, Zhang J, Qin Y, et al. Sociation between serum homocysteine level and obstructive sleep apnea: A meta-analysis[J]. Biomed Res Int, 2017, 2017:7234528. |
| [20] | Chen X, Niu X, Xiao Y, et al. Effect of continuous positive airway pressure on homocysteine levels in patients with obstructive sleep apnea: a meta-analysis[J]. Sleep Breath, 2014, 18(4):687-694. doi:10.1007/s11325-014-0940-xpmid:24463983 |
| [21] | Day RM, Matus IA, Suzuki YJ, et al. Plasma levels of retinoids, carotenoids and tocopherols in patients with mild obstructive sleep apnoea[J]. Respirology, 2009, 14(8):1134-1142. doi:10.1111/j.1440-1843.2009.01623.xpmid:19761534 |
| [22] | Zhou L, Chen P, Peng Y, et al. Role of oxidative stress in the neurocognitive dysfunction of obstructive sleep apnea syndrome[J]. Oxid Med Cell Longev, 2016, 2016:9626831. |
| [23] | Dikmenoiğlu N, Ciftçi B, Ileri E, et al. Erythrocyte deformability, plasma viscosity and oxidative status in patients with severe obstructive sleep apnea syndrome[J]. Sleep Med, 2006, 7(3):255-261. pmid:16564211 |
| [24] | Kobayashi M, Miyazawa N, Takeno M, et al. Circulating carbon monoxide level is elevated after sleep in patients with obstructive sleep apnea[J]. Chest, 2008, 134(5):904-910. doi:S0012-3692(08)60348-7pmid:18988776 |
| [25] | O′Driscoll DM, Horne RS, Davey MJ, et al. Increased sympathetic activity in children with obstructive sleep apnea: cardiovascular implications[J]. Sleep Med, 2011, 12(5):483-488. doi:10.1016/j.sleep.2010.09.015pmid:21521626 |
| [26] | Paik MJ, Kim DK, Nguyen DT, et al. Correlation of daytime sleepiness with urine metabolites in patients with obstructive sleep apnea[J]. Sleep Breath, 2014, 18(3):517-523. doi:10.1007/s11325-013-0913-5URL |
| [27] | Monneret D, Pepin JL, Godin-Ribuot D, et al. Association of urinary 15-F2t-isoprostane level with oxygen desaturation and carotid intima-media thickness in nonobese sleep apnea patients[J]. Free Radic Biol Med, 2010, 48(4):619-625. doi:10.1016/j.freeradbiomed.2009.12.008URL |
| [28] | Xu H, Zheng X, Qian Y, et al. Metabolomics profiling for obstructive sleep apnea and simple snorers[J]. Sci Rep, 2016, 6:30958. doi:10.1038/srep30958pmid:27480913 |
| [29] | Xu H, Li X, Zheng X, et al. Pediatric obstructive sleep apnea is associated with changes in the oral microbiome and urinary metabolomics profile: A pilot study[J]. J Clin Sleep Med, 2018, 14(9):1559-1567. doi:10.5664/jcsm.7336pmid:30176961 |
| [30] | Kawai M, Kirkness JP, Yamamura S, et al. Increased phosphatidylcholine concentration in saliva reduces surface tension and improves airway patency in obstructive sleep apnoea[J]. J Oral Rehabil, 2013, 40(10):758-766. doi:10.1111/joor.12094pmid:24033347 |
| [31] | Ezzedini R, Darabi M, Ghasemi B, et al. Tissue fatty acid composition in obstructive sleep apnea and recurrent tonsillitis[J]. Int J Pediatr Otorhinolaryngol, 2013, 77(6):1008-1012. doi:10.1016/j.ijporl.2013.03.033URL |
| [32] | Papandreou C. Independent associations between fatty acids and sleep quality among obese patients with obstructive sleep apnoea syndrome[J]. J Sleep Res, 2013, 22(5):569-572. doi:10.1111/jsr.12043pmid:23432533 |
| [33] | Zɖbek A, Stanimirova I, Deja S, et al. Fusion of the 1 H NMR data of serum, urine and exhaled breath condensate in order to discriminate chronic obstructive pulmonary disease and obstructive sleep apnea syndrome[J]. Metabolomics, 2015, 11(6):1563-1574. doi:10.1007/s11306-015-0808-5URL |
| [34] | Tripathi A, Xu ZZ, Xue J, et al. Intermittent hypoxia and hypercapnia reproducibly change the gut microbiome and metabolome across rodent model systems[J]. mSystems, 2019, 4(2):e00058-19. |
| [35] | Zhang A, Sun H, Yan G, et al. Metabolomics for biomarker discovery: Moving to the clinic[J]. Biomed Res Int, 2015, 2015:354671. |
| [1] | 武冬冬, 陈玉辉, 刘芳, 刘银红, 蒋景文.脑小血管疾病合并中枢神经系统退行性疾病机制的研究进展[J]. 诊断学理论与实践, 2022, 21(05): 644-649. |
| [2] | 陈海燕, 杨小宝, 许大康.新生物标志物在胃肠道肿瘤中疗效预测和预后价值的研究进展[J]. 诊断学理论与实践, 2019, 18(06): 704-710. |
| [3] | 罗清琼, 陈福祥.肿瘤免疫治疗策略的转变及相关标志物研究现状[J]. 诊断学理论与实践, 2019, 18(04): 387-393. |
| [4] | 杜坤, 杨喜, 卞炳贤, 任懿倩, 张广慧.血清presepsin(sCD14-ST)、降钙素原、C反应蛋白和白介细胞素-6诊断血流细菌感染的诊断性能比较[J]. 诊断学理论与实践, 2018, 17(05): 581-585. |
| [5] | 崔诗爽, 陈生弟, 王刚.帕金森病体液生物标志物研究进展[J]. 诊断学理论与实践, 2018, 17(04): 471-476. |
| [6] | 陈琦, 程艾邦, 黄绮芳, 王继光, 李燕.氧减指数筛查诊断睡眠呼吸暂停综合征的可行性及其与夜间血压的关系[J]. 诊断学理论与实践, 2017, 16(06): 587-591. |
| [7] | 牟姗, 陈哲君, 谢园园.生物标志物在肾脏损伤诊断中的临床应用[J]. 诊断学理论与实践, 2017, 16(04): 358-362. |
| [8] | 张月琪, 任汝静, 王刚,.尿液生物标志物对痴呆诊断价值的研究进展[J]. 诊断学理论与实践, 2016, 15(02): 190-194. |
| [9] | 商慧芳, 陈永平,.帕金森病生物标志物的研究现状及展望[J]. 诊断学理论与实践, 2016, 15(02): 92-95. |
| [10] | 张宸罡, 程绮, 唐亚斌, 王刚,.尿液代谢组学对神经变性疾病诊断及机制探索应用的研究进展[J]. 诊断学理论与实践, 2016, 15(01): 77-79. |
| [11] | 杨舟, 王世东, 程磊, 程莉, 陶生策, 宋凯, 张庆华,.基于凝集素芯片的蛋白质糖基化修饰检测方法[J]. 诊断学理论与实践, 2015, 14(05): 455-460. |
| [12] | 潘永瑜, 杨玲, 吴佳瑜, 王根发,.不同程度老年阻塞性睡眠呼吸暂停低通气综合征患者血小板活性及血流动力学指标分析[J]. 诊断学理论与实践, 2015, 14(02): 182-184. |
| [13] | 徐莹, 王正廷, 钟捷,.嗜铬素A在胃肠胰神经内分泌肿瘤诊断及预后判断中的意义[J]. 诊断学理论与实践, 2015, 14(01): 79-82. |
| [14] | 姚洁洁, 张静雯, 朱樱, 张晓晓, 詹维伟, 费晓春,.乳腺导管内癌微浸润癌分子生物标志物的表达及其与超声表现的相关性[J]. 诊断学理论与实践, 2014, 13(06): 588-592. |
| [15] | 林继先, 赵静,.生物标志物在缺血性脑卒中应用的研究进展[J]. 诊断学理论与实践, 2013, 12(03): 363-366. |
| 阅读次数 | ||||||
| 全文 |
|
|||||
| 摘要 |
|
|||||