Markers of endothelial damage in patients with chronic kidney disease on hemodialysis

Author:

Carmona Andrés12,Agüera Maria L.132,Luna-Ruiz Carlos12,Buendía Paula12,Calleros Laura245,García-Jerez Andrea245,Rodríguez-Puyol Manuel245,Arias Manuel26,Arias-Guillen Marta27,de Arriba Gabriel289,Ballarin Jose210,Bernis Carmen211,Fernández Elvira212,García-Rebollo Sagrario213,Mancha Javier214,del Peso Gloria215,Pérez Estefanía213,Poch Esteban27,Portolés Jose M.216,Rodríguez-Puyol Diego214,Sánchez-Villanueva Rafael215,Sarro Felipe212,Torres Armando213,Martín-Malo Alejandro13172,Aljama Pedro13172,Ramírez Rafael24,Carracedo Julia13218

Affiliation:

1. Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain;

2. Redes Temáticas de Investigación Cooperativa en Salud—Red Española de Investigación Renal, RD16/0009, Instituto de Salud Carlos III, Madrid, Spain;

3. Unidad de Gestión Clínica Nefrología, Hospital Universitario Reina Sofía, Córdoba, Spain;

4. Biologia de Sistemas Department, Alcalá de Henares University, Madrid, Spain;

5. Biobanco Redes Temáticas de Investigación Cooperativa en Salud Red Renal, Instituto de Salud Carlos III, Madrid, Spain;

6. Hospital Universitario Marqués de Valdecilla, Santander, Spain;

7. Departamento de Nefrologia y Trasplante Renal, Hospital Clinic de Barcelona, Institut D’Investigacions Biomediques August Pi I Sunyer, Universidad de Barcelona, Barcelona, Spain;

8. Hospital Universitario de Guadalajara, Guadalajara, Spain;

9. Departamento de Medicina y Especialidades Médicas, Alcalá de Henares University, Madrid, Spain;

10. Fundació Puigvert, Barcelona, Spain;

11. Hospital Universitario La Princesa Madrid, Madrid, Spain;

12. Hospital Universitari Arnau de Villanova de Lleida, Lleida, Spain;

13. Servicio de Nefrología. Hospital Universitario de Canarias, Improving Biomedical Research and Innovation in the Canary Islands–, Universidad de La Laguna, La Laguna, Spain;

14. Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Madrid, Spain;

15. Hospital Universitario La Paz, Madrid, Spain;

16. Hospital Puerta de Hierro, Madrid, Spain; and

17. Departamento de Medicina (Medicina, Dermatología y Otorrinolaringología), Universidad de Córdoba, Córdoba, Spain;

18. Departament of Animal Physiology II, Faculty Biology, Complutense University, Madrid, Spain

Abstract

Patients with Stage 5 chronic kidney disease who are on hemodialysis (HD) remain in a chronic inflammatory state, characterized by the accumulation of uremic toxins that induce endothelial damage and cardiovascular disease (CVD). Our aim was to examine microvesicles (MVs), monocyte subpopulations, and angiopoietins (Ang) to identify prognostic markers in HD patients with or without diabetes mellitus (DM). A total of 160 prevalent HD patients from 10 centers across Spain were obtained from the Biobank of the Nephrology Renal Network (Madrid, Spain): 80 patients with DM and 80 patients without DM who were matched for clinical and demographic criteria. MVs from plasma and several monocyte subpopulations (CD142+/CD16+, CD14+/CD162+) were analyzed by flow cytometry, and the plasma concentrations of Ang1 and Ang2 were quantified by ELISA. Data on CVD were gathered over the 5.5 yr after these samples were obtained. MV level, monocyte subpopulations (CD14+/CD162+ and CD142+/CD16+), and Ang2-to-Ang1 ratios increased in HD patients with DM compared with non-DM patients. Moreover, MV level above the median (264 MVs/µl) was associated independently with greater mortality. MVs, monocyte subpopulations, and Ang2-to-Ang1 ratio can be used as predictors for CVD. In addition, MV level has a potential predictive value in the prevention of CVD in HD patients. These parameters undergo more extensive changes in patients with DM.

Funder

Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Carlos III Health Institute)

Consejería Economía, Innovación, Ciencia y Empleo, Junta de Andalucia (Ministry of Economy, Innovation, Science and Employment, Government of Andalucia)

Publisher

American Physiological Society

Subject

Physiology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3