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Serum metabolites associated with dietary protein intake: results from the Modification of Diet in Renal Disease (MDRD) randomized clinical trial.与膳食蛋白质摄入量相关的血清代谢物:来自 Modification of Diet in Renal Disease(MDRD)随机临床试验的结果。
Am J Clin Nutr. 2019 Mar 1;109(3):517-525. doi: 10.1093/ajcn/nqy202.
2
Serum untargeted metabolomic profile of the Dietary Approaches to Stop Hypertension (DASH) dietary pattern.膳食限制高血压(DASH)饮食模式的血清非靶向代谢组学特征。
Am J Clin Nutr. 2018 Aug 1;108(2):243-255. doi: 10.1093/ajcn/nqy099.
3
Metabolomic profiling to improve glomerular filtration rate estimation: a proof-of-concept study.代谢组学分析提高肾小球滤过率估算:概念验证研究。
Nephrol Dial Transplant. 2019 May 1;34(5):825-833. doi: 10.1093/ndt/gfy094.
4
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Am J Kidney Dis. 2018 Jul;72(1):129-135. doi: 10.1053/j.ajkd.2017.12.008. Epub 2018 Feb 23.
5
Hippurate as a metabolomic marker of gut microbiome diversity: Modulation by diet and relationship to metabolic syndrome.马尿酸盐作为肠道微生物多样性的代谢组学标志物:饮食调节及其与代谢综合征的关系。
Sci Rep. 2017 Oct 20;7(1):13670. doi: 10.1038/s41598-017-13722-4.
6
Reducing the Dietary Acid Load: How a More Alkaline Diet Benefits Patients With Chronic Kidney Disease.降低膳食酸负荷:更碱性的饮食如何使慢性肾病患者受益。
J Ren Nutr. 2017 May;27(3):151-160. doi: 10.1053/j.jrn.2016.11.006. Epub 2017 Jan 20.
7
Dietary Protein Sources and Risk for Incident Chronic Kidney Disease: Results From the Atherosclerosis Risk in Communities (ARIC) Study.膳食蛋白质来源与慢性肾脏病发病风险:社区动脉粥样硬化风险(ARIC)研究结果
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8
Identifying biomarkers of dietary patterns by using metabolomics.运用代谢组学鉴定饮食模式的生物标志物。
Am J Clin Nutr. 2017 Feb;105(2):450-465. doi: 10.3945/ajcn.116.144501. Epub 2016 Dec 28.
9
Determination of S-methyl-L-methionine (SMM) from Brassicaceae Family Vegetables and Characterization of the Intestinal Transport of SMM by Caco-2 Cells.十字花科蔬菜中S-甲基-L-蛋氨酸(SMM)的测定及Caco-2细胞对SMM的肠道转运特性研究
J Food Sci. 2017 Jan;82(1):36-43. doi: 10.1111/1750-3841.13556. Epub 2016 Nov 24.
10
DASH (Dietary Approaches to Stop Hypertension) Diet and Risk of Subsequent Kidney Disease.终止高血压膳食疗法(DASH)饮食与后续肾病风险
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血清代谢组学在两项慢性肾脏病成人饮食酸负荷研究中确定了生物标志物。

The Serum Metabolome Identifies Biomarkers of Dietary Acid Load in 2 Studies of Adults with Chronic Kidney Disease.

机构信息

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Division of Nephrology, Tufts Medical Center, Boston, MA.

出版信息

J Nutr. 2019 Apr 1;149(4):578-585. doi: 10.1093/jn/nxy311.

DOI:10.1093/jn/nxy311
PMID:30919901
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6461721/
Abstract

BACKGROUND

Dietary acid load is a clinically important aspect of the diet that reflects the balance between acid-producing foods, for example, meat and cheese, and base-producing foods, for example, fruits and vegetables.

METHODS

We used metabolomics to identify blood biomarkers of dietary acid load in 2 independent studies of chronic kidney disease patients: the African American Study of Kidney Disease and Hypertension (AASK, n = 689) and the Modification of Diet in Renal Disease (MDRD, n = 356) study. Multivariable linear regression was used to assess the cross-sectional association between serum metabolites whose identity was known (outcome) and dietary acid load (exposure), estimated with net endogenous acid production (NEAP) based on 24-h urine urea nitrogen and potassium, and adjusted for age, sex, race, randomization group, measured glomerular filtration rate, log-transformed urine protein-to-creatinine ratio, history of cardiovascular disease, BMI, and smoking status.

RESULTS

Out of the 757 known, nondrug metabolites identified in AASK, 26 were significantly associated with NEAP at the Bonferroni threshold for significance (P < 6.6 × 10-5). Twenty-three of the 26 metabolites were also identified in the MDRD study, and 13 of the 23 (57%) were significantly associated with NEAP (P < 2.2 × 10-3), including 5 amino acids (S-methylmethionine, indolepropionylglycine, indolepropionate, N-methylproline, N-δ-acetylornithine), 2 cofactors and vitamins (threonate, oxalate), 1 lipid (chiro-inositol), and 5 xenobiotics (methyl glucopyranoside, stachydrine, catechol sulfate, hippurate, and tartronate). Higher levels of all 13 replicated metabolites were associated with lower NEAP in both AASK and the MDRD study.

CONCLUSION

Metabolomic profiling of serum specimens from kidney disease patients in 2 study populations identified 13 replicated metabolites associated with dietary acid load. Additional studies are needed to validate these compounds in healthy populations. These 13 compounds may potentially be used as objective markers of dietary acid load in future nutrition research studies.

摘要

背景

饮食酸负荷是饮食中一个重要的临床方面,反映了产酸食物(如肉和奶酪)与产碱食物(如水果和蔬菜)之间的平衡。

方法

我们使用代谢组学方法在两项慢性肾脏病患者的独立研究中鉴定饮食酸负荷的血液生物标志物:非裔美国人肾脏病和高血压研究(AASK,n=689)和肾脏疾病饮食改良研究(MDRD,n=356)。多变量线性回归用于评估血清代谢物与其身份已知的(结果)与饮食酸负荷(暴露)之间的横断面关联,根据 24 小时尿尿素氮和钾,基于净内源性酸生成(NEAP)进行估计,并调整年龄、性别、种族、随机分组、测量肾小球滤过率、尿蛋白/肌酐比的对数转换、心血管疾病史、BMI 和吸烟状况。

结果

在 AASK 中鉴定出的 757 种已知非药物代谢物中,有 26 种在显著水平(P < 6.6×10-5)与 NEAP 显著相关。26 种代谢物中有 23 种也在 MDRD 研究中被鉴定出来,其中 13 种(57%)与 NEAP 显著相关(P < 2.2×10-3),包括 5 种氨基酸(S-甲基甲硫氨酸、吲哚丙酸甘氨酸、吲哚丙酸、N-甲基脯氨酸、N-δ-乙酰鸟氨酸)、2 种辅因子和维生素(苏氨酸、草酸盐)、1 种脂质(手性肌醇)和 5 种外源性物质(甲基吡喃葡萄糖苷、莨菪亭、儿茶酚硫酸盐、马尿酸和酒石酸盐)。在 AASK 和 MDRD 研究中,所有 13 种复制代谢物的水平升高都与 NEAP 降低相关。

结论

对来自两个研究人群的肾脏病患者的血清标本进行代谢组学分析,鉴定出 13 种与饮食酸负荷相关的复制代谢物。需要进一步的研究来验证这些化合物在健康人群中的作用。这些 13 种化合物可能在未来的营养研究中作为饮食酸负荷的客观标志物。