• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

肠道微生物产物可预测慢性肾脏病患者的心血管风险。

Gut Microbial Product Predicts Cardiovascular Risk in Chronic Kidney Disease Patients.

机构信息

Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, Michigan, USA.

Department of Internal Medicine-Nephrology, Temple University, Philadelphia, Pennsylvania, USA.

出版信息

Am J Nephrol. 2018;48(4):269-277. doi: 10.1159/000493862. Epub 2018 Oct 16.

DOI:10.1159/000493862
PMID:30326477
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6280192/
Abstract

BACKGROUND

The gut microbiota is altered in patients with chronic kidney disease (CKD), and cardiovascular risk increases with progressive CKD. This study examined the potential link between short chain fatty acids (SCFAs), which are produced by the gut microbiota, and cardiovascular outcomes in patients with CKD.

METHODS

SCFAs were measured using a targeted liquid chromatography-mass spectrometry platform in baseline plasma samples from 214 patients with CKD enrolled in the Clinical Phenotyping Resource and Biobank Core; 81 patients with coronary artery disease (CAD) and 133 without CAD were randomly assigned to training and validation subsets. The primary outcome was a history of CAD and the secondary outcome was a composite history of cardiovascular disease (CVD) at enrollment.

RESULTS

We found significantly higher levels of the SCFA valerate among patients with CAD as compared with patients without CAD in the training set (p < 0.001). The valerate concentrations were also significantly higher among subjects with composite outcomes of CVD compared to those without CVD (p = 0.006). These results were subsequently replicated in the validation set. Logistic regression analysis revealed a strong independent association between plasma valerate levels and CVD in both training and validation sets. When valerate was added to the base clinical model comprising of diabetes, hypertension, urinary protein-creatinine ratio, and estimated glomerular filtration rate, it increased the c-statistics for predicting CVD from 0.68 to 0.79 (p = 0.02) in the training set, an observation which was confirmed in the validation set. -Conclusion: This study provides evidence for alterations in gut-microbiota-derived SCFAs with advancing CKD, demonstrates the association of higher plasma valerate levels with pre-existing CVD, and reveals areas for future exploration of cardiovascular risk in patients with CKD.

摘要

背景

慢性肾脏病(CKD)患者的肠道微生物群发生改变,随着 CKD 的进展,心血管风险增加。本研究探讨了肠道微生物群产生的短链脂肪酸(SCFAs)与 CKD 患者心血管结局之间的潜在联系。

方法

在 214 名 CKD 患者的基线血浆样本中使用靶向液相色谱-质谱平台测量 SCFAs;81 名患有冠状动脉疾病(CAD)和 133 名无 CAD 的患者被随机分配到训练集和验证集。主要结局是 CAD 病史,次要结局是入组时的心血管疾病(CVD)综合病史。

结果

我们发现,在训练集中,CAD 患者的 SCFA 戊酸盐水平明显高于无 CAD 患者(p < 0.001)。复合 CVD 结局的受试者的戊酸盐浓度也明显高于无 CVD 受试者(p = 0.006)。这些结果随后在验证集中得到复制。逻辑回归分析显示,在训练集和验证集中,血浆戊酸盐水平与 CVD 之间存在很强的独立关联。当戊酸盐被添加到包含糖尿病、高血压、尿蛋白-肌酐比和估计肾小球滤过率的基本临床模型中时,它提高了预测 CVD 的 C 统计量,从训练集的 0.68 增加到 0.79(p = 0.02),这一观察结果在验证集中得到了证实。-结论:本研究提供了证据表明,随着 CKD 的进展,肠道微生物群衍生的 SCFAs 发生改变,证实了较高的血浆戊酸盐水平与预先存在的 CVD 相关,并揭示了未来探索 CKD 患者心血管风险的领域。

相似文献

1
Gut Microbial Product Predicts Cardiovascular Risk in Chronic Kidney Disease Patients.肠道微生物产物可预测慢性肾脏病患者的心血管风险。
Am J Nephrol. 2018;48(4):269-277. doi: 10.1159/000493862. Epub 2018 Oct 16.
2
Myeloperoxidase Levels and Its Product 3-Chlorotyrosine Predict Chronic Kidney Disease Severity and Associated Coronary Artery Disease.髓过氧化物酶水平及其产物3-氯酪氨酸可预测慢性肾脏病的严重程度及相关冠状动脉疾病。
Am J Nephrol. 2017;46(1):73-81. doi: 10.1159/000477766. Epub 2017 Jul 1.
3
Nonculprit coronary plaque characteristics of chronic kidney disease.慢性肾脏病患者罪犯斑块的特征。
Circ Cardiovasc Imaging. 2013 May 1;6(3):448-56. doi: 10.1161/CIRCIMAGING.112.000165. Epub 2013 Mar 27.
4
Increased cystatin C levels as a risk factor of cardiovascular events in patients with preserved estimated glomerular filtration rate after elective percutaneous coronary intervention with drug-eluting stents.在接受药物洗脱支架选择性经皮冠状动脉介入治疗后估计肾小球滤过率保留的患者中,胱抑素C水平升高作为心血管事件的危险因素。
Heart Vessels. 2016 May;31(5):694-701. doi: 10.1007/s00380-015-0674-0. Epub 2015 Apr 12.
5
Higher Plasma Levels of Valerate Produced by Gut Microbiota May Have a Beneficial Impact on Renal Function.肠道微生物产生的更高水平戊酸盐可能对肾功能有有益影响。
J Am Nutr Assoc. 2023 Aug;42(6):534-540. doi: 10.1080/07315724.2019.1664955. Epub 2023 Feb 14.
6
Effect Modification of Chronic Kidney Disease on the Association of Circulating and Imaging Cardiac Biomarkers With Outcomes.慢性肾脏病对循环和影像学心脏生物标志物与结局相关性的修饰作用。
J Am Heart Assoc. 2017 Jul 5;6(7):e005235. doi: 10.1161/JAHA.116.005235.
7
Impact of renal function on mean platelet volume and its relationship with coronary artery disease: A single-centre cohort study.肾功能对平均血小板体积的影响及其与冠状动脉疾病的关系:一项单中心队列研究。
Thromb Res. 2016 May;141:139-44. doi: 10.1016/j.thromres.2016.03.018. Epub 2016 Mar 19.
8
Optimal timing of coronary angiograms for patients with chronic kidney disease: association between the duration of kidney dysfunction and SYNTAX scores.慢性肾脏病患者冠状动脉造影的最佳时机:肾功能障碍持续时间与 SYNTAX 评分的关系。
Ren Fail. 2021 Dec;43(1):307-312. doi: 10.1080/0886022X.2021.1880936.
9
Coronary Artery Disease Is a Predictor of Progression to Dialysis in Patients With Chronic Kidney Disease, Type 2 Diabetes Mellitus, and Anemia: An Analysis of the Trial to Reduce Cardiovascular Events With Aranesp Therapy (TREAT).冠状动脉疾病是慢性肾脏病、2型糖尿病和贫血患者进展至透析的预测因素:促红细胞生成素治疗减少心血管事件试验(TREAT)分析
J Am Heart Assoc. 2016 Apr 23;5(4):e002850. doi: 10.1161/JAHA.115.002850.
10
Elevated copeptin is a prognostic factor for mortality even in patients with renal dysfunction.即使在肾功能不全的患者中, copeptin水平升高也是死亡率的一个预后因素。
Int J Cardiol. 2016 Oct 15;221:327-32. doi: 10.1016/j.ijcard.2016.07.058. Epub 2016 Jul 5.

引用本文的文献

1
Association between serum short-chain fatty acid levels and the risk of all-cause and cardiovascular disease mortality in Chinese patients undergoing maintenance hemodialysis: a retrospective cohort study.中国维持性血液透析患者血清短链脂肪酸水平与全因及心血管疾病死亡风险的关联:一项回顾性队列研究
Clin Kidney J. 2025 May 29;18(6):sfaf168. doi: 10.1093/ckj/sfaf168. eCollection 2025 Jun.
2
Short-Chain Fatty Acids and Their Metabolic Interactions in Heart Failure.心力衰竭中的短链脂肪酸及其代谢相互作用
Biomedicines. 2025 Feb 3;13(2):343. doi: 10.3390/biomedicines13020343.
3
Oral Astragalus polysaccharide alleviates adenine-induced kidney injury by regulating gut microbiota-short-chain fatty acids-kidney G protein-coupled receptors axis.口服黄芪多糖通过调节肠道微生物群-短链脂肪酸-肾脏 G 蛋白偶联受体轴缓解腺嘌呤诱导的肾损伤。
Ren Fail. 2024 Dec;46(2):2429693. doi: 10.1080/0886022X.2024.2429693. Epub 2024 Nov 27.
4
Specific gut microbiome and metabolome changes in patients with continuous ambulatory peritoneal dialysis and comparison between patients with different dialysis vintages.持续性非卧床腹膜透析患者特定肠道微生物群和代谢组的变化以及不同透析龄患者之间的比较。
Front Med (Lausanne). 2024 Jan 5;10:1302352. doi: 10.3389/fmed.2023.1302352. eCollection 2023.
5
Alterations in gut microbiota and host transcriptome of patients with coronary artery disease.冠心病患者肠道微生物群和宿主转录组的改变。
BMC Microbiol. 2023 Nov 3;23(1):320. doi: 10.1186/s12866-023-03071-w.
6
Slight Changes in the Gut Microbiome in Early-stage Chronic Kidney Disease of Unknown Etiology.早期不明原因慢性肾脏病肠道微生物组的微小变化。
Microbes Environ. 2023;38(3). doi: 10.1264/jsme2.ME22097.
7
Inflammation and gut dysbiosis as drivers of CKD-MBD.炎症和肠道菌群失调作为 CKD-MBD 的驱动因素。
Nat Rev Nephrol. 2023 Oct;19(10):646-657. doi: 10.1038/s41581-023-00736-7. Epub 2023 Jul 24.
8
Cardiovascular risk of metabolically healthy obesity in two european populations: Prevention potential from a metabolomic study.两种欧洲人群中代谢健康肥胖的心血管风险:一项代谢组学研究的预防潜力。
Cardiovasc Diabetol. 2023 Apr 7;22(1):82. doi: 10.1186/s12933-023-01815-6.
9
Traditional Chinese Medicine: An Exogenous Regulator of Crosstalk between the Gut Microbial Ecosystem and CKD.中医:肠道微生物生态系统与慢性肾脏病之间串扰的一种外源性调节因子
Evid Based Complement Alternat Med. 2022 Dec 10;2022:7940684. doi: 10.1155/2022/7940684. eCollection 2022.
10
Gut microbial products valerate and caproate predict renal outcome among the patients with biopsy-confirmed diabetic nephropathy.肠道微生物产物戊酸和己酸可预测经活检确诊的糖尿病肾病患者的肾脏预后。
Acta Diabetol. 2022 Nov;59(11):1469-1477. doi: 10.1007/s00592-022-01948-2. Epub 2022 Aug 10.

本文引用的文献

1
Impaired -Oxidation and Altered Complex Lipid Fatty Acid Partitioning with Advancing CKD.随着 CKD 的进展,氧化受损和复合脂质脂肪酸分布改变。
J Am Soc Nephrol. 2018 Jan;29(1):295-306. doi: 10.1681/ASN.2017030350. Epub 2017 Oct 11.
2
Myeloperoxidase Levels and Its Product 3-Chlorotyrosine Predict Chronic Kidney Disease Severity and Associated Coronary Artery Disease.髓过氧化物酶水平及其产物3-氯酪氨酸可预测慢性肾脏病的严重程度及相关冠状动脉疾病。
Am J Nephrol. 2017;46(1):73-81. doi: 10.1159/000477766. Epub 2017 Jul 1.
3
A reduction in the butyrate producing species Roseburia spp. and Faecalibacterium prausnitzii is associated with chronic kidney disease progression.产生丁酸盐的罗斯氏菌属和普拉梭菌数量的减少与慢性肾脏病的进展相关。
Antonie Van Leeuwenhoek. 2016 Oct;109(10):1389-96. doi: 10.1007/s10482-016-0737-y. Epub 2016 Jul 18.
4
The Pharmacology and Function of Receptors for Short-Chain Fatty Acids.短链脂肪酸受体的药理学与功能
Mol Pharmacol. 2016 Mar;89(3):388-98. doi: 10.1124/mol.115.102301. Epub 2015 Dec 30.
5
Choline Diet and Its Gut Microbe-Derived Metabolite, Trimethylamine N-Oxide, Exacerbate Pressure Overload-Induced Heart Failure.胆碱饮食及其肠道微生物衍生代谢产物氧化三甲胺会加剧压力超负荷诱导的心力衰竭。
Circ Heart Fail. 2016 Jan;9(1):e002314. doi: 10.1161/CIRCHEARTFAILURE.115.002314. Epub 2015 Dec 23.
6
Role of the Gut Microbiome in Uremia: A Potential Therapeutic Target.肠道微生物群在尿毒症中的作用:一个潜在的治疗靶点。
Am J Kidney Dis. 2016 Mar;67(3):483-98. doi: 10.1053/j.ajkd.2015.09.027. Epub 2015 Nov 15.
7
Meta-Analysis of the Associations of p-Cresyl Sulfate (PCS) and Indoxyl Sulfate (IS) with Cardiovascular Events and All-Cause Mortality in Patients with Chronic Renal Failure.对慢性肾衰竭患者中对甲酚硫酸盐(PCS)和硫酸吲哚酚(IS)与心血管事件及全因死亡率之间关联的荟萃分析。
PLoS One. 2015 Jul 14;10(7):e0132589. doi: 10.1371/journal.pone.0132589. eCollection 2015.
8
A Role for Gut Microbiota and the Metabolite-Sensing Receptor GPR43 in a Murine Model of Gout.肠道微生物群和代谢物感应受体 GPR43 在痛风小鼠模型中的作用。
Arthritis Rheumatol. 2015 Jun;67(6):1646-56. doi: 10.1002/art.39107.
9
Gut microbiota-dependent trimethylamine N-oxide (TMAO) pathway contributes to both development of renal insufficiency and mortality risk in chronic kidney disease.肠道微生物群依赖的氧化三甲胺(TMAO)途径在慢性肾脏病的肾功能不全发展和死亡风险中均起作用。
Circ Res. 2015 Jan 30;116(3):448-55. doi: 10.1161/CIRCRESAHA.116.305360. Epub 2014 Nov 5.
10
The impact of diet and lifestyle on gut microbiota and human health.饮食和生活方式对肠道微生物群及人类健康的影响。
Nutrients. 2014 Dec 24;7(1):17-44. doi: 10.3390/nu7010017.