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3
Nuclear Magnetic Resonance Metabolomic Profiling and Urine Chemistries in Incident Kidney Stone Formers Compared with Controls.与对照组相比,初发肾结石患者的核磁共振代谢组学分析和尿液化学物质。
J Am Soc Nephrol. 2022 Nov;33(11):2071-2086. doi: 10.1681/ASN.2022040416. Epub 2022 Jul 19.
4
Urinary Microbial and Metabolomic Profiles in Kidney Stone Disease.尿微生物和代谢组学特征在肾结石病中的研究。
Front Cell Infect Microbiol. 2022 Sep 5;12:953392. doi: 10.3389/fcimb.2022.953392. eCollection 2022.
5
Delineating the Role of the Urinary Metabolome in the Lithogenesis of Calcium-Based Kidney Stones.阐明尿代谢组在基于钙的肾结石形成中的作用。
Urology. 2022 Sep;167:49-55. doi: 10.1016/j.urology.2022.06.004. Epub 2022 Jun 15.
6
Association of Urine Findings with Metabolic Syndrome Traits in a Population of Patients with Nephrolithiasis.尿检查结果与肾结石患者人群中代谢综合征特征的相关性。
Kidney360. 2021 Nov 30;3(2):317-324. doi: 10.34067/KID.0002292021. eCollection 2022 Feb 24.
7
Trans-ethnic Mendelian-randomization study reveals causal relationships between cardiometabolic factors and chronic kidney disease.跨种族孟德尔随机化研究揭示了心血管代谢因素与慢性肾脏病之间的因果关系。
Int J Epidemiol. 2022 Jan 6;50(6):1995-2010. doi: 10.1093/ije/dyab203. Epub 2021 Oct 20.
8
Incidence of Kidney Stones in the United States: The Continuous National Health and Nutrition Examination Survey.美国肾结石的发病率:连续国家健康和营养检查调查。
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More Good News: Coffee Prevents Kidney Stones.更多好消息:咖啡可预防肾结石。
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Association between kidney stones and risk of developing stroke: a meta-analysis.肾结石与中风风险的关联:一项荟萃分析。
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代谢组学特征与肾结石的发病机制。

Metabolomic profiles and pathogenesis of nephrolithiasis.

机构信息

Department of Medicine, University of Chicago Medicine, Chicago, Illinois, USA.

出版信息

Curr Opin Nephrol Hypertens. 2023 Sep 1;32(5):490-495. doi: 10.1097/MNH.0000000000000903. Epub 2023 Jul 21.

DOI:10.1097/MNH.0000000000000903
PMID:37530089
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10403267/
Abstract

PURPOSE OF REVIEW

Kidney stone disease is caused by supersaturation of urine with certain metabolites and minerals. The urine composition of stone formers has been measured to prevent stone recurrence, specifically calcium, uric acid, oxalate, ammonia, citrate. However, these minerals and metabolites have proven to be unreliable in predicting stone recurrence. Metabolomics using high throughput technologies in well defined patient cohorts can identify metabolites that may provide insight into the pathogenesis of stones as well as offer possibilities in therapeutics.

RECENT FINDINGS

Techniques including 1H-NMR, and liquid chromatography paired with tandem mass spectroscopy have identified multiple possible metabolites involved in stone formation. Compared to formers of calcium oxalate stones, healthy controls had higher levels of hippuric acid as well as metabolites involved in caffeine metabolism. Both the gut and urine microbiome may contribute to the altered metabolome of stone formers.

SUMMARY

Although metabolomics has offered several potential metabolites that may be protective against or promote stone formation, the mechanisms behind these metabolomic profiles and their clinical significance requires further investigation.

摘要

目的综述

肾结石病是由尿液中某些代谢物和矿物质过饱和引起的。为了预防结石复发,已经测量了结石形成者的尿液成分,特别是钙、尿酸、草酸盐、氨和柠檬酸盐。然而,这些矿物质和代谢物已被证明无法可靠地预测结石复发。在明确的患者队列中使用高通量技术进行代谢组学研究可以识别出可能有助于了解结石发病机制的代谢物,并为治疗提供可能性。

最近的发现

包括 1H-NMR 和液相色谱与串联质谱在内的技术已经鉴定出多种可能参与结石形成的代谢物。与草酸钙结石形成者相比,健康对照组的 hippuric 酸水平以及与咖啡因代谢有关的代谢物水平更高。肠道和尿液微生物组都可能导致结石形成者的代谢组发生改变。

总结

尽管代谢组学已经提供了几种可能具有预防或促进结石形成作用的潜在代谢物,但这些代谢组图谱背后的机制及其临床意义仍需要进一步研究。