Urinary Proteome and Exosome Analysis Protocol for the Discovery of Respiratory Diseases Biomarkers

被引:0
作者
Martelo-Vidal, Laura [1 ,2 ]
Vazquez-Mera, Sara [1 ,2 ]
Miguens-Suarez, Pablo [1 ,2 ]
Bravo-Lopez, Susana Belen [3 ]
Makrinioti, Heidi [4 ]
Dominguez-Arca, Vicente [5 ,6 ]
de-Miguel-Diez, Javier [7 ,8 ,9 ]
Gomez-Carballa, Alberto [10 ,11 ,12 ,13 ]
Salas, Antonio [10 ,11 ,12 ,13 ]
Gonzalez-Barcala, Francisco Javier [1 ,2 ,14 ,15 ]
Salgado, Francisco Javier [1 ,2 ]
Nieto-Fontarigo, Juan Jose [1 ,2 ]
机构
[1] Univ Santiago de Compostela, Fac Biol, Biol Res Ctr CIBUS, Dept Biochem & Mol Biol,BioLympho Res Grp, Santiago De Compostela 15782, Spain
[2] Hlth Res Inst Santiago de Compostela IDIS, Translat Res Airway Dis Grp TRIAD, Santiago De Compostela 15706, Spain
[3] Hlth Res Inst Santiago De Compostela IDIS, Prote Serv, Santiago De Compostela 15706, Spain
[4] Harvard Med Sch, Massachusetts Gen Hosp, Dept Emergency Med, Boston, MA 02114 USA
[5] Univ Santiago de Compostela, Dept Fis Particulas, Grp Fis Coloides & Polimeros, Santiago De Compostela 15782, Spain
[6] Inst Invest Marinas IIM CSIC, Bioproc Engn Grp, Vigo 36208, Spain
[7] Hosp Gen Univ Gregorio Maranon, Resp Dept, Madrid 28009, Spain
[8] Hlth Res Inst Gregorio Maranon IISGM, Madrid 28009, Spain
[9] Univ Complutense Madrid, Fac Med, Madrid 28040, Spain
[10] Univ Santiago De Compostela, Inst Invest Sanitaria Santiago, Genet Vaccines & Infect Res Grp GenViP, Santiago De Compostela 15706, Spain
[11] Univ Santiago de Compostela, Inst Ciencias Forenses, Fac Med, Unidade Xenet, Santiago De Compostela 15782, Spain
[12] Hosp Clin Univ Santiago SERGAS, Inst Invest Sanitaria IDIS, Genet Poblac Biomed GenPoB Res Grp, Santiago De Compostela 15706, Spain
[13] Ctr Invest Biomed Red Enfermedades Resp CIBER ES, Madrid 28029, Spain
[14] Univ Hosp Complex Santiago de Compostela, Dept Resp Med, Santiago De Compostela 15706, Spain
[15] Univ Santiago De Compostela, Dept Med, Santiago De Compostela 15782, Spain
关键词
exosomes; miRNAs; proteomics; respiratory disease biomarkers; urine; ASTHMA PHENOTYPES; MOUSE MODEL; IDENTIFICATION; METABOLOMICS; MICRORNA-21; INFLAMMATION; INHIBITION; ANTAGONISM; EXPRESSION; ENDOTYPES;
D O I
10.3390/biom15010060
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
This study aims to develop a protocol for respiratory disease-associated biomarker discovery by combining urine proteome studies with urinary exosome components analysis (i.e., miRNAs). To achieve this, urine was DTT treated to decrease uromodulin, then concentrated and ultracentrifuged. Proteomic analyses of exosome-free urine were performed using LC-MS/MS. Simultaneously, miRNA expression from urine exosomes was measured using either RTqPCR (pre-amplification) or nCounter Nanostring (non-amplication) analyses. We detected 548 different proteins in exosome-free urine samples (N = 5) with high confidence (FDR < 1%), many of them being expressed in different non-renal tissues. Specifically, lung-related proteins were overrepresented (Fold enrichment = 1.31; FDR = 0.0335) compared to whole human proteome, and 10-15% were already described as protein biomarkers for several pulmonary diseases. Urine proteins identified belong to several functional categories important in respiratory pathology. We could confirm the expression of miRNAs previously connected to respiratory diseases (i.e., miR-16-5p, miR-21-5p, miR-146a-5p, and miR-215-5p) in urine exosomes by RTqPCR. Finally, we detected 333 miRNAs using Nanostring, 15 of them up-regulated in T2(high) asthma (N = 4) compared to T2(low) asthma (N = 4) and healthy subjects (N = 4). Therefore, this protocol combining the urinary proteome (exosome free) with the study of urinary exosome components (i.e., miRNAs) holds great potential for molecular biomarker discovery of non-renal and particularly respiratory pathologies.
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页数:23
相关论文
共 97 条
[1]  
Abbafati C, 2020, LANCET, V396, P1204
[2]   The human urinary proteome contains more than 1500 proteins, including a large proportion of membrane proteins [J].
Adachi, Jun ;
Kumar, Chanchal ;
Zhang, Yanling ;
Olsen, Jesper V. ;
Mann, Matthias .
GENOME BIOLOGY, 2006, 7 (09)
[3]   Tackling the global burden of lung disease through prevention and early diagnosis [J].
Agusti, Alvar ;
Vogelmeier, Claus F. ;
Halpin, David M. G. .
LANCET RESPIRATORY MEDICINE, 2022, 10 (11) :1013-1015
[4]   Effects of cigarette smoking on the human urinary proteome [J].
Airoldi, Luisa ;
Magagnotti, Cinzia ;
Iannuzzi, Angela Rita ;
Marelli, Cristina ;
Bagnati, Renzo ;
Pastorelli, Roberta ;
Colombi, Alessandro ;
Santaguida, Stefano ;
Chiabrando, Chiara ;
Schiarea, Silvia ;
Fanelli, Roberto .
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2009, 381 (03) :397-402
[5]   Urine proteomes of healthy aging humans reveal extracellular matrix (ECM) alterations and immune system dysfunction [J].
Bakun, M. ;
Senatorski, G. ;
Rubel, T. ;
Lukasik, A. ;
Zielenkiewicz, P. ;
Dadlez, M. ;
Paczek, L. .
AGE, 2014, 36 (01) :299-311
[6]   Inflammatory endotypes in COPD [J].
Barnes, Peter J. .
ALLERGY, 2019, 74 (07) :1249-1256
[7]   Contextualised urinary biomarker analysis facilitates diagnosis of paediatric obstructive sleep apnoea [J].
Becker, Lev ;
Kheirandish-Gozal, Leila ;
Peris, Eduard ;
Schoenfelt, Kelly Q. ;
Gozal, David .
SLEEP MEDICINE, 2014, 15 (05) :541-549
[8]   A Proteomics-Based Approach Reveals Differential Regulation of Urine Proteins between Metabolically Healthy and Unhealthy Obese Patients [J].
Benabdelkamel, Hicham ;
Masood, Afshan ;
Okla, Meshail ;
Al-Naami, Mohammed Y. ;
Alfadda, Assim A. .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2019, 20 (19)
[9]   An approach for normalization and quality control for NanoString RNA expression data [J].
Bhattacharya, Arjun ;
Hamilton, Alina M. ;
Furberg, Helena ;
Pietzak, Eugene ;
Purdue, Mark P. ;
Troester, Melissa A. ;
Hoadley, Katherine A. ;
Love, Michael, I .
BRIEFINGS IN BIOINFORMATICS, 2021, 22 (03)
[10]   Proteomic and metabolomic profiling of urine uncovers immune responses in patients with COVID-19 [J].
Bi, Xiaojie ;
Liu, Wei ;
Ding, Xuan ;
Liang, Shuang ;
Zheng, Yufen ;
Zhu, Xiaoli ;
Quan, Sheng ;
Yi, Xiao ;
Xiang, Nan ;
Du, Juping ;
Lyu, Haiyan ;
Yu, Die ;
Zhang, Chao ;
Xu, Luang ;
Ge, Weigang ;
Zhan, Xinke ;
He, Jiale ;
Xiong, Zi ;
Zhang, Shun ;
Li, Yanchang ;
Xu, Ping ;
Zhu, Guangjun ;
Wang, Donglian ;
Zhu, Hongguo ;
Chen, Shiyong ;
Li, Jun ;
Zhao, Haihong ;
Zhu, Yi ;
Liu, Huafen ;
Xu, Jiaqin ;
Shen, Bo ;
Guo, Tiannan .
CELL REPORTS, 2022, 38 (03)