代谢组学在儿童便秘发病机制及治疗中的研究进展

陈小龙, 江米足

中国当代儿科杂志 ›› 2026, Vol. 28 ›› Issue (8) : 1031-1036.

PDF(570 KB)
HTML
PDF(570 KB)
HTML
中国当代儿科杂志 ›› 2026, Vol. 28 ›› Issue (8) : 1031-1036. DOI: 10.7499/j.issn.1008-8830.2603081
综述

代谢组学在儿童便秘发病机制及治疗中的研究进展

作者信息 +

Research progress of metabolomics in the pathogenesis and treatment of constipation in children

Author information +
文章历史 +

摘要

儿童便秘是一种常见的消化系统功能性疾病,严重影响患儿的生活质量和身心健康。传统的研究方法存在局限性,难以全面阐明其复杂病因及个体差异。近年来,代谢组学作为系统生物学的重要分支,通过对体内多种代谢产物的系统性分析,广泛应用于儿童便秘的诊治研究中。该文综述了代谢组学技术在儿童便秘研究中的应用,重点阐述了便秘患儿体内代谢物谱的特征性改变及其相关代谢通路的调控机制,并评估潜在的发病机制和治疗靶点,旨在为儿童便秘的个体化治疗提供理论依据并指明未来研究方向。

Abstract

Constipation in children is a common functional gastrointestinal disorder that seriously affects quality of life and physical and mental health. Traditional research methods have limitations, making it difficult to fully elucidate the complex etiology and individual variability of constipation. In recent years, metabolomics, as an important branch of systems biology, has been widely applied to the study of pediatric constipation by systematic analysis of various metabolites. This review summarizes the application of metabolomics technologies in pediatric constipation research, focusing on characteristic changes in metabolite profiles and regulatory mechanisms of related metabolic pathways in children with constipation, and evaluates potential pathogenic mechanisms and therapeutic targets. It aims to provide a theoretical basis for individualized treatment of pediatric constipation and to point out future research directions.

关键词

代谢组学 / 便秘 / 肠道微生态 / 发病机制 / 治疗靶点 / 儿童

Key words

Metabolomics / Constipation / Gut microbiota / Pathogenesis / Therapeutic target / Child

引用本文

导出引用
陈小龙, 江米足. 代谢组学在儿童便秘发病机制及治疗中的研究进展[J]. 中国当代儿科杂志. 2026, 28(8): 1031-1036 https://doi.org/10.7499/j.issn.1008-8830.2603081
Xiao-Long CHEN, Mi-Zu JIANG. Research progress of metabolomics in the pathogenesis and treatment of constipation in children[J]. Chinese Journal of Contemporary Pediatrics. 2026, 28(8): 1031-1036 https://doi.org/10.7499/j.issn.1008-8830.2603081

参考文献

[1]
Makosiej R, Makosiej A, Bossowski A, et al. Dyssynergic defecation and anal sphincter disorders in children in high-resolution anorectal manometry investigation[J]. J Pediatr Gastroenterol Nutr, 2020, 71(4): 484-490. DOI: 10.1097/MPG.0000000000002819 .
[2]
Huang C, Wang C, Wu B, et al. Gut microbiota biomarkers enable stratified nutritional approaches for functional constipation subtypes in children with comorbidities[J]. Nutrition, 2026, 141: 112949. DOI: 10.1016/j.nut.2025.112949 .
[3]
Hyams JS, Di lorenzo C, Saps M, et al. Functional disorders: children and adolescents[J]. Gastroenterology, 2016. Epub ahead of print. DOI: 10.1053/j.gastro.2016.02.015 .
[4]
Drossman DA, Hasler WL. Rome IV-functional GI disorders: disorders of gut-brain interaction[J]. Gastroenterology, 2016, 150(6): 1257-1261. DOI: 10.1053/j.gastro.2016.03.035 .
[5]
van Engelenburg-van Lonkhuyzen ML, Bols EM, Benninga MA, et al. Effectiveness of pelvic physiotherapy in children with functional constipation compared with standard medical care[J]. Gastroenterology, 2017, 152(1): 82-91. DOI: 10.1053/j.gastro.2016.09.015 .
[6]
Zhao H, Lu X, Ye Y, et al. Dysbiosis of gut microbiota in children with functional constipation and damp-heat constitution: a cross-sectional multi-omics analysis[J]. Sci Rep, 2025, 15(1): 42256. PMCID: PMC12658172. DOI: 10.1038/s41598-025-26439-6 .
[7]
肖吉英, 何静, 黄淑敏, 等. 代谢组学在儿童支气管哮喘中的应用研究进展[J]. 中华儿科杂志, 2022, 60(9): 960-963. DOI: 10.3760/cma.j.cn112140-20220613-00546 .
[8]
Tian H, Ye C, Yang B, et al. Gut metagenome as a potential diagnostic and predictive biomarker in slow transit constipation[J]. Front Med (Lausanne), 2022, 8: 777961. PMCID: PMC8862142. DOI: 10.3389/fmed.2021.777961 .
[9]
Putri SP, Ikram MMM, Sato A, et al. Application of gas chromatography-mass spectrometry-based metabolomics in food science and technology[J]. J Biosci Bioeng, 2022, 133(5): 425-435. DOI: 10.1016/j.jbiosc.2022.01.011 .
[10]
Dan Z, Mao X, Liu Q, et al. Altered gut microbial profile is associated with abnormal metabolism activity of autism spectrum disorder[J]. Gut Microbes, 2020, 11(5): 1246-1267. PMCID: PMC7524265. DOI: 10.1080/19490976.2020.1747329 .
[11]
Gao J, Xiao Y. Metabolomics and its applications in assisted reproductive technology[J]. IET Nanobiotechnol, 2023, 17(5): 399-405. PMCID: PMC10374554. DOI: 10.1049/nbt2.12141 .
[12]
Tomșa NA, Meliț LE, Popescu T, et al. Microbiota: a rescuing modulator in children struggling with functional constipation[J]. Microorganisms, 2025, 13(7): 1504. PMCID: PMC12300628. DOI: 10.3390/microorganisms13071504 .
[13]
Mancini NL, Rajeev S, Jayme TS, et al. Crohn's disease pathobiont adherent-invasive E coli disrupts epithelial mitochondrial networks with implications for gut permeability[J]. Cell Mol Gastroenterol Hepatol, 2021, 11(2): 551-571. PMCID: PMC7797367. DOI: 10.1016/j.jcmgh.2020.09.013 .
[14]
Oduyebo I, Camilleri M, Nelson AD, et al. Effects of NGM282, an FGF19 variant, on colonic transit and bowel function in functional constipation: a randomized phase 2 trial[J]. Am J Gastroenterol, 2018, 113(5): 725-734. DOI: 10.1038/s41395-018-0042-7 .
[15]
Li YQ, Yan XY, Xiao XJ, et al. The gut microbiome and metabolites are altered and interrelated in patients with functional constipation[J]. Front Microbiol, 2023, 14: 1320567. PMCID: PMC10731029. DOI: 10.3389/fmicb.2023.1320567 .
[16]
Ryu JE, Shin SY, Ahn JS, et al. Multiomics insights into functional constipation: exploring microbiome, metabolome, and lipidome independent of transit time[J]. Dig Liver Dis, 2025, 57(10): 1927-1937. DOI: 10.1016/j.dld.2025.07.011 .
[17]
Ma R, Xie Q, Wang J, et al. Combination of urine and faeces metabolomics to reveal the intervention mechanism of Polygala tenuifolia compatibility with Magnolia officinalis on gastrointestinal motility disorders[J]. J Pharm Pharmacol, 2021, 73(2): 247-262. DOI: 10.1093/jpp/rgaa022 .
[18]
Wang C, Huang M, Lin Y, et al. ENO2-derived phosphoenolpyruvate functions as an endogenous inhibitor of HDAC1 and confers resistance to antiangiogenic therapy[J]. Nat Metab, 2023, 5(10): 1765-1786. DOI: 10.1038/s42255-023-00883-y .
[19]
Chao J, Coleman RA, Keating DJ, et al. Gut microbiome regulation of gut hormone secretion[J]. Endocrinology, 2025, 166(4): bqaf004. PMCID: PMC11879239. DOI: 10.1210/endocr/bqaf004 .
[20]
Lupien-Meilleur J, Andrich DE, Quinn S, et al. Interplay between gut microbiota and gastrointestinal peptides: potential outcomes on the regulation of glucose control[J]. Can J Diabetes, 2020, 44(4): 359-367. DOI: 10.1016/j.jcjd.2019.10.006 .
[21]
Wan Y, Cao C, Zeng W. The sympathetic neurons in the gut: perspectives on metabolic and immune health and diseases[J]. Curr Opin Neurobiol, 2025, 93: 103051. DOI: 10.1016/j.conb.2025.103051 .
[22]
Tri BD, Shashni B, Matsui H, et al. Designing poly(gamma-aminobutyric acid)-based nanoparticles for the treatment of major depressive disorders[J]. J Control Release, 2023, 360: 110-121. DOI: 10.1016/j.jconrel.2023.06.021 .
[23]
Leembruggen AJL, Lu Y, Wang H, et al. Group I metabotropic glutamate receptors modulate motility and enteric neural activity in the mouse colon[J]. Biomolecules, 2023, 13(1): 139. PMCID: PMC9856182. DOI: 10.3390/biom13010139 .
[24]
Wang SZ, Yu YJ, Adeli K. Role of gut microbiota in neuroendocrine regulation of carbohydrate and lipid metabolism via the microbiota-gut-brain-liver axis[J]. Microorganisms, 2020, 8(4): 527. PMCID: PMC7232453. DOI: 10.3390/microorganisms8040527 .
[25]
Bibi A, Zhang F, Shen J, et al. Behavioral alterations in antibiotic-treated mice associated with gut microbiota dysbiosis: insights from 16S rRNA and metabolomics[J]. Front Neurosci, 2025, 19: 1478304. PMCID: PMC11906700. DOI: 10.3389/fnins.2025.1478304 .
[26]
Gao K, Mu CL, Farzi A, et al. Tryptophan metabolism: a link between the gut microbiota and brain[J]. Adv Nutr, 2020, 11(3): 709-723. PMCID: PMC7231603. DOI: 10.1093/advances/nmz127 .
[27]
Singh R, Zogg H, Wei L, et al. Gut microbial dysbiosis in the pathogenesis of gastrointestinal dysmotility and metabolic disorders[J]. J Neurogastroenterol Motil, 2021, 27(1): 19-34. PMCID: PMC7786094. DOI: 10.5056/jnm20149 .
[28]
Tian H, Chen Q, Yang B, et al. Analysis of gut microbiome and metabolite characteristics in patients with slow transit constipation[J]. Dig Dis Sci, 2021, 66(9): 3026-3035. DOI: 10.1007/s10620-020-06500-2 .
[29]
Ma W, Lian L, Guo L, et al. Lactobacillus rhamnosus Glory LG12 preventives loperamide-induced constipation in mice by modulating intestinal flora and metabolic pathways[J]. Front Microbiol, 2025, 16: 1577799. PMCID: PMC12289570. DOI: 10.3389/fmicb.2025.1577799 .
[30]
Li J, Chen C, Yang H, et al. Tea polyphenols regulate gut microbiota dysbiosis induced by antibiotic in mice[J]. Food Res Int, 2021, 141: 110153. DOI: 10.1016/j.foodres.2021.110153 .
[31]
Lai Y, Liu CW, Yang Y, et al. High-coverage metabolomics uncovers microbiota-driven biochemical landscape of interorgan transport and gut-brain communication in mice[J]. Nat Commun, 2021, 12(1): 6000. PMCID: PMC8526691. DOI: 10.1038/s41467-021-26209-8 .
[32]
Wang JK, Yao SK. Roles of gut microbiota and metabolites in pathogenesis of functional constipation[J]. Evid Based Complement Alternat Med, 2021, 2021: 5560310. PMCID: PMC8481049. DOI: 10.1155/2021/5560310 .
[33]
Boullion J, Husein A, Agrawal A, et al. Machine learning-based biomarker identification for early diagnosis of metabolic dysfunction-associated steatotic liver disease[J]. J Clin Endocrinol Metab, 2025, 110(11): e3866-e3877. PMCID: PMC12278777. DOI: 10.1210/clinem/dgaf111 .
[34]
Guan X, Du Y, Ma R, et al. Construction of the XGBoost model for early lung cancer prediction based on metabolic indices[J]. BMC Med Inform Decis Mak, 2023, 23(1): 107. PMCID: PMC10262551. DOI: 10.1186/s12911-023-02171-x .
[35]
Agus A, Planchais J, Sokol H. Gut microbiota regulation of tryptophan metabolism in health and disease[J]. Cell Host Microbe, 2018, 23(6): 716-724. DOI: 10.1016/j.chom.2018.05.003 .
[36]
Boney A, Elser HE, Silver HJ. Relationships among dietary intakes and persistent gastrointestinal symptoms in patients receiving enzyme treatment for genetic sucrase-isomaltase deficiency[J]. J Acad Nutr Diet, 2018, 118(3): 440-447. DOI: 10.1016/j.jand.2017.11.005 .
[37]
Diener C, Holscher HD, Filek K, et al. Metagenomic estimation of dietary intake from human stool[J]. Nat Metab, 2025, 7(3): 617-630. PMCID: PMC11949708. DOI: 10.1038/s42255-025-01220-1 .
[38]
Kwoji ID, Aiyegoro OA, Okpeku M, et al. 'Multi-omics' data integration: applications in probiotics studies[J]. NPJ Sci Food, 2023, 7(1): 25. PMCID: PMC10241933. DOI: 10.1038/s41538-023-00199-x .
[39]
Luo M, Xie P, Deng X, et al. Bifidobacterium Lactobacillus triple viable alleviates slow transit constipation by regulating gut microbiota and metabolism[J]. J Gastroenterol Hepatol, 2025, 40(6): 1561-1573. PMCID: PMC12136808. DOI: 10.1111/jgh.16960 .
[40]
Bai X, Wang Y, Wang K, et al. Guiren Runchang granules alleviate slow transit constipation in mice by modulating gut microbiota and short-chain fatty acids[J]. Front Microbiol, 2025, 16: 1615297. PMCID: PMC12515827. DOI: 10.3389/fmicb.2025.1615297 .
[41]
Liang Y, Wei X, Deng J, et al. Integrating omics and network pharmacology reveals the anti-constipation role of chitosan with different molecular weights in constipated mice[J]. Int J Biol Macromol, 2023, 235: 36889616. DOI: 10.1016/j.ijbiomac.2023.123930 .
[42]
Chetty A, Blekhman R. Multi-omic approaches for host-microbiome data integration[J]. Gut Microbes, 2024, 16(1): 2297860. PMCID: PMC10766395. DOI: 10.1080/19490976.2023.2297860 .
[43]
Zhang X, Zhou Z, Xu H, et al. Integrative clustering methods for multi-omics data[J]. Wiley Interdiscip Rev Comput Stat, 2022, 14(3): e1553. PMCID: PMC9097984. DOI: 10.1002/wics.1553 .

脚注

所有作者均声明无利益冲突。

基金

浙江省医药卫生科技计划项目(2025KY1634)
嘉善县科技计划项目(2024E39)

PDF(570 KB)
HTML

Accesses

Citation

Detail

段落导航
相关文章

/