山东大学耳鼻喉眼学报 ›› 2026, Vol. 40 ›› Issue (5): 18-24.doi: 10.6040/j.issn.1673-3770.0.2025.461

• 儿童耳鼻咽喉头颈外科 • 上一篇    

儿童阻塞性睡眠呼吸暂停低通气综合征相关代谢组学的进展

姜玥1,2,顾亚军2,王俊国2,钱晓云1,2   

  1. 1.南京医科大学鼓楼临床医学院 耳鼻咽喉头颈外科, 江苏 南京 210029;
    2.南京大学医学院附属鼓楼医院 耳鼻咽喉头颈外科, 江苏 南京 210008
  • 发布日期:2026-09-07
  • 通讯作者: 钱晓云. E-mail: qxy522@163.com

Advances in metabolomics for pediatric obstructive sleep apnea-hypopnea syndrome

JIANG Yue1,2, GU Yajun2, WANG Junguo2, QIAN Xiaoyun1,2   

  1. 1. Department of Otorhinolaryngology & Head and Neck Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing 210029, Jiangsu, China2. Department of Otorhinolaryngology & Head and Neck Surgery, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, Jiangsu, China
  • Published:2026-09-07

摘要: 儿童阻塞性睡眠呼吸暂停低通气综合征(obstructive sleep apnea-hypopnea syndrome, OSAHS)是一种发生于儿童中的常见病,以反复出现上气道阻塞和间歇性低氧血症为特征,可导致神经认知功能、心血管发育等长期不良后果。多导睡眠监测(polysomnography, PSG)是目前诊断金标准,但是操作繁琐,患儿配合度低。已有多项研究应用代谢组学技术识别阻塞性睡眠呼吸暂停患儿的特征性代谢改变,探寻早期预警的生物标志物,分析相关并发症的代谢图谱,以期更好地指导临床诊疗。本文旨在总结儿童OSAHS相关代谢组学研究进展。

关键词: 阻塞性睡眠呼吸暂停低通气综合征, 代谢组学, 生物标志物, 诊断, 儿童

Abstract: Objective sleep apnea-hypopnea syndrome(OSAHS)is a common disorder in children,characterized by recurrent upper airway obstruction and intermittent hypoxemia. Itcan lead to long-term adverse consequences including impaired neurocognitive function and cardiovascular development. Polysomnography(PSG)is currently the gold standard for diagnosis; however, it is operationally cumbersome and poorly tolerated by pediatric patients. Several studies have applied metabolomics to identify characteristic metabolic alterations in children with OSAHS, explore potential early-warning biomarkers, and analyze the metabolic profiles of associated complications,with the aim of better guiding clinical diagnosis and treatment. This review aims to summarize recent advances in metabolomics research related to pediatric OSAHS.

Key words: Obstructive sleep apnea-hypopnea syndrome, Metabolomics, Biomarkers, Diagnosis, Children

中图分类号: 

  • R766.4
[1] Benedek P, Balakrishnan K, Cunningham MJ, et al. International Pediatric Otolaryngology group(IPOG)consensus on the diagnosis and management of pediatric obstructive sleep apnea(OSA)[J]. Int J Pediatr Otorhinolaryngol, 2020, 138: 110276. DOI:10.1016/j.ijporl.2020.110276
[2] Ai SZ, Li ZX, Wang SS, et al. Blood pressure and childhood obstructive sleep apnea: a systematic review and meta-analysis[J]. Sleep Med Rev, 2022, 65: 101663. DOI:10.1016/j.smrv.2022.101663
[3] Mitchell RB, Archer SM, Ishman SL, et al. Clinical practice guideline: tonsillectomy in children(update)-executive summary[J]. Otolaryngol Head Neck Surg, 2019, 160(2): 187-205. DOI:10.1177/0194599818807917
[4] Aurora RN, Zak RS, Karippot A, et al. Practice parameters for the respiratory indications for polysomnography in children[J]. Sleep, 2011, 34(3): 379-388. DOI:10.1093/sleep/34.3.379
[5] Wishart DS. Metabolomics for investigating physiological and pathophysiological processes[J]. Physiol Rev, 2019, 99(4): 1819-1875. DOI:10.1152/physrev.00035.2018
[6] Holmes E, Wilson ID, Nicholson JK. Metabolic phenotyping in health and disease[J]. Cell, 2008, 134(5): 714-717. DOI:10.1016/j.cell.2008.08.026
[7] Vasilopoulou CG, Margarity M, Klapa MI. Metabolomic analysis in brain research: opportunities and challenges[J]. Front Physiol, 2016, 7: 183. DOI:10.3389/fphys.2016.00183
[8] Wishart DS. Emerging applications of metabolomics in drug discovery and precision medicine[J]. Nat Rev Drug Discov, 2016, 15(7): 473-484. DOI:10.1038/nrd.2016.32
[9] Mohit, Tomar MS, Sharma D, et al. Emerging role of metabolomics for biomarker discovery in obstructive sleep apnea[J]. Sleep Breath, 2023, 27(4): 1247-1254. DOI:10.1007/s11325-022-02730-y
[10] Xu HJ, Li XY, Zheng XJ, 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.7336
[11] 陈悦, 卢燕波, 吴军华, 等.4~6 岁阻塞性睡眠呼吸暂停低通气综合征患儿肠道代谢产物特征及临床价值分析[J]. 中国当代儿科杂志, 2024, 26(6): 575-583. DOI:10.7499/j.issn.1008-8830.2309129
[12] Biltagi MA, Maguid MA, Ghafar MA, et al. Correlation of 8-isoprostane, interleukin-6 and cardiac functions with clinical score in childhood obstructive sleep apnoea[J]. Acta Paediatr, 2008, 97(10): 1397-1405. DOI:10.1111/j.1651-2227.2008.00927.x
[13] 季洁, 孔雅茹, 王珊, 等. 基于气相色谱-质谱联用技术检测阻塞性睡眠呼吸暂停儿童血浆代谢变化的研究[J]. 生物技术进展, 2024,14(04):657-667. DOI:10.19586/j.2095-2341.2024.0042
[14] Barceló A, Bauça JM, Peña-Zarza JA, et al. Circulating branched-chain amino acids in children with obstructive sleep apnea[J]. Pediatr Pulmonol, 2017, 52(8): 1085-1091. DOI:10.1002/ppul.23753
[15] 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.2010.09.015
[16] Lu YB, Chen DN, Wu JH, et al. Characteristics and clinical value of intestinal metabolites in 4 to 6-year-old children with OSAHS[J]. BMC Pediatr, 2025, 25(1): 204. DOI:10.1186/s12887-025-05561-4
[17] 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.2013.03.033
[18] 王婷婷, 冯奇星, 钟晓飞, 等. 1H-MRS对儿童阻塞性睡眠呼吸暂停低通气综合征脑代谢变化的初步研究[J]. 临床放射学杂志, 2019, 38(11): 2161-2165. DOI:10.13437/j.cnki.jcr.2019.11.036
[19] 郭宇, 彭韶. 血清脂蛋白相关磷脂酶A2、脂质代谢与儿童阻塞性睡眠呼吸暂停低通气综合征严重程度的相关性分析[J]. 河南医学研究, 2021, 30(18):3293-3296. DOI:10.3969/j.issn.1004-437X.2021.18.007
[20] Sica E, de Bernardi F, Nosetti L, et al. Catecholamines and children obstructive sleep apnea: a systematic review[J]. Sleep Med, 2021, 87: 227-232. DOI:10.1016/j.sleep.2021.09.007
[21] Cheng ETW, Chan RNC, Chan KCC, et al. Level of urinary catecholamine in children with Sleep Disordered Breathing: a systematic review and meta-analysis[J]. Sleep Med, 2022, 100: 565-572. DOI:10.1016/j.sleep.2022.10.008
[22] 朱佩强, 刘德中, 潘崇平. 儿童阻塞性睡眠呼吸暂停低通气综合征与部分血清生化指标的相关性分析[J]. 中国呼吸与危重监护杂志, 2018,17(02):169-171. DOI:10.7507/1671-6205.201705030
[23] Koritala BSC, Parameswaran S, Donmez OA, et al. Genome-wide epigenetic profiling and transcriptome analysis in pediatric Obstructive Sleep Apnea: a focus on Black female children[J]. Heliyon, 2024, 10(23): e40830. DOI:10.1016/j.heliyon.2024.e40830
[24] Du ZY, Sun HL, Du YH, et al. Comprehensive metabolomics and machine learning identify profound oxidative stress and inflammation signatures in hypertensive patients with obstructive sleep apnea[J]. Antioxidants, 2022, 11(10): 1946. DOI:10.3390/antiox11101946
[25] Shin HW, Cho K, Rhee CS, et al. Urine 5-eicosatetraenoic acids as diagnostic markers for obstructive sleep apnea[J]. Antioxidants(Basel), 2021, 10(8): 1242. DOI:10.3390/antiox10081242
[26] Gispert-Llaurado M, Gheorghita I, Vehovec L, et al. Association between diet and metabolome in childhood and adolescence: a systematic review[J]. Nutr Rev, 2026: nuaf305. v:10.1093/nutrit/nuaf305
[27] Aasmets O, Taba N, Krigul KL, et al. A hidden confounder for microbiome studies: medications used years before sample collection[J]. mSystems, 2025, 10(10): e0054125. DOI:10.1128/msystems.00541-25
[28] Skubic C, Zevnik U, Nahtigal K, et al. Circadian biomarkers in humans: methodological insights into the detection of melatonin and Cortisol[J]. Biomolecules, 2025, 15(7): 1006. DOI:10.3390/biom15071006
[29] Scholz M, Steuer AE, Dobay A, et al. Assessing the influence of sleep and sampling time on metabolites in oral fluid: implications for metabolomics studies[J]. Metabolomics, 2024, 20(5): 97. DOI:10.1007/s11306-024-02158-3
[30] Zarei I, Eloranta AM, Klåvus A, et al. Eight-year diet and physical activity intervention affects serum metabolites during childhood and adolescence: a nonrandomized controlled trial[J]. IScience, 2024, 27(7): 110295. DOI:10.1016/j.isci.2024.110295
[31] Michels N. Biological underpinnings from psychosocial stress towards appetite and obesity during youth: research implications towards metagenomics, epigenomics and metabolomics[J]. Nutr Res Rev, 2019, 32(2): 282-293. DOI:10.1017/S0954422419000143
[32] DiBattista A, Chakraborty P. Quantitative characterization of the urine and serum metabolomes of children is essential for ‘omics’ studies[J]. BMC Med, 2018, 16(1): 222. DOI:10.1186/s12916-018-1219-z
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