Literature DB >> 26850698

Human urinary exosome proteome unveils its aerobic respiratory ability.

Maurizio Bruschi1, Laura Santucci1, Silvia Ravera2, Giovanni Candiano1, Martina Bartolucci3, Daniela Calzia2, Chiara Lavarello3, Elvira Inglese3, Luca A Ramenghi4, Andrea Petretto3, Gian Marco Ghiggeri1, Isabella Panfoli5.   

Abstract

Exosomes are 40-100-nm vesicles released by most cell types after fusion of multivesicular endosomes with the plasma membrane. Exosomes, ubiquitary in body fluids including urines, contain proteins and RNA species specific of the tissue of origin. Exosomes from urine have been extensively studied as a promising reservoir for disease biomarkers. Here, we report the proteome analysis of urinary exosomes compared to urinoma, studied by Orbitrap mass spectrometry. A discovery approach was utilized on the sample. 3429 proteins were present, with minimal overlapping among exosome and urinoma. 959 proteins (28%) in exosome and 1478 proteins (43%) in urinoma were exclusively present in only one group. By cytoscape analysis, the biological process gene ontology was correlated to their probability (P ≤ 0.05) to be functional. This was never studied before and showed a significant clustering around metabolic functions, in particular to aerobic ATP production. Urinary exosomes carry out oxidative phosphorylation, being able to synthesize ATP and consume oxygen. A previously unsuspected function emerges for human urinary exosomes as bioactive vesicles that consume oxygen to aerobically synthesize ATP. Determination of normal human urine proteome can help generate the healthy urinary protein database for comparison, useful for various renal diseases. BIOLOGICAL SIGNIFICANCE: The findings reported represent a significant advance in the understanding of the healthy human urinary proteome. The methodology utilized to analyze the collection of proteomic data allowed the assessment of the unique composition of urinary exosomes with respect to urinoma and to elucidate the presence in the former of molecular pathways previously unknown. The paper has the potential to impact its field of research, due to the biological relevance of the metabolic capacity of urinary exosomes, which may represent their important general feature.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Exosomes; F(o)F(1)-ATP synthase; Mass spectrometry; Oxidative phosphorylation; Proteomics; Respiratory complexes; Urinoma

Mesh:

Substances:

Year:  2016        PMID: 26850698     DOI: 10.1016/j.jprot.2016.02.001

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  9 in total

1.  Quick 96FASP for high throughput quantitative proteome analysis.

Authors:  Yanbao Yu; Shiferaw Bekele; Rembert Pieper
Journal:  J Proteomics       Date:  2017-06-29       Impact factor: 4.044

2.  Effect of human umbilical cord mesenchymal stem cell exosomes on aerobic metabolism of human retinal pigment epithelial cells.

Authors:  Wei Fan; Lian Liu; Chunlan Liang; Jingxiang Zhong
Journal:  Int Ophthalmol       Date:  2022-10-05       Impact factor: 2.029

Review 3.  Biological Features of Extracellular Vesicles and Challenges.

Authors:  Ye Zeng; Yan Qiu; Wenli Jiang; Junyi Shen; Xinghong Yao; Xueling He; Liang Li; Bingmei Fu; Xiaoheng Liu
Journal:  Front Cell Dev Biol       Date:  2022-06-24

4.  Identification and Characterization of 293T Cell-Derived Exosomes by Profiling the Protein, mRNA and MicroRNA Components.

Authors:  Jing Li; Xiulan Chen; Jiao Yi; Yuchen Liu; Dameng Li; Jifeng Wang; Dongxia Hou; Xiaohong Jiang; Junfeng Zhang; Jin Wang; Ke Zen; Fuquan Yang; Chen-Yu Zhang; Yujing Zhang
Journal:  PLoS One       Date:  2016-09-20       Impact factor: 3.240

Review 5.  Extracellular Vesicles in Renal Pathophysiology.

Authors:  Margherita A C Pomatto; Chiara Gai; Benedetta Bussolati; Giovanni Camussi
Journal:  Front Mol Biosci       Date:  2017-06-07

6.  Urinary Exosomes Contain MicroRNAs Capable of Paracrine Modulation of Tubular Transporters in Kidney.

Authors:  Tannia Gracia; Xiaonan Wang; Ya Su; Elizabeth E Norgett; Timothy L Williams; Pablo Moreno; Gos Micklem; Fiona E Karet Frankl
Journal:  Sci Rep       Date:  2017-01-17       Impact factor: 4.379

Review 7.  Proteomics for Biomarker Discovery for Diagnosis and Prognosis of Kidney Transplantation Rejection.

Authors:  Luís M Ramalhete; Rúben Araújo; Aníbal Ferreira; Cecília R C Calado
Journal:  Proteomes       Date:  2022-07-02

8.  Weighted Gene Co-Expression Network Analysis and Support Vector Machine Learning in the Proteomic Profiling of Cerebrospinal Fluid from Extraventricular Drainage in Child Medulloblastoma.

Authors:  Maurizio Bruschi; Xhuliana Kajana; Andrea Petretto; Martina Bartolucci; Marco Pavanello; Gian Marco Ghiggeri; Isabella Panfoli; Giovanni Candiano
Journal:  Metabolites       Date:  2022-08-05

9.  Longitudinal stability of urinary extracellular vesicle protein patterns within and between individuals.

Authors:  Leyla A Erozenci; Sander R Piersma; Thang V Pham; Irene V Bijnsdorp; Connie R Jimenez
Journal:  Sci Rep       Date:  2021-08-02       Impact factor: 4.379

  9 in total

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