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Physiologic changes of urinary proteome by caffeine and excessive water intake

  • Paleerath Peerapen , Nardtaya Ausakunpipat , Suchitra Sutthimethakorn , Siripat Aluksanasuwan , Arada Vinaiphat and Visith Thongboonkerd EMAIL logo
Published/Copyright: December 17, 2016

Abstract

Background:

Diurnal variations and physiologic changes of urinary proteome have been suggested in the urinary proteomics field. However, no clear evidence has been demonstrated. The present study thus aimed to define changes in urinary proteome by physiological stimuli, i.e. caffeine intake and excessive water drinking, both of which cause physiologic diuresis.

Methods:

Urine samples were collected from 30 healthy individuals under three different conditions: (i) morning void as the control; (ii) after drinking a cup of coffee; and (iii) after drinking 1 L of water within 20 min. Thereafter, differentially excreted proteins were analyzed by 2-DE proteomics approach and validated by Western blotting and ELISA.

Results:

Spot matching, quantitative intensity analysis, and ANOVA followed by Tukey’s post-hoc multiple comparisons and the Bonferroni correction revealed significant differences in levels of five protein spots among three different conditions. These proteins were identified by quadrupole time-of-flight mass spectrometry (Q-TOF MS) and/or MS/MS analyses as kininogen 1 isoform 3, β-actin, prostaglandin D synthase (PGDS), fibrinogen α-chain and immunoglobulin light chain. Among these, the decreased level of immunoglobulin was successfully validated by Western blotting and ELISA.

Conclusions:

These data indicated that caffeine intake and excessive water drinking could affect urinary excretion of some proteins and may affect urinary proteome analysis.


Corresponding author: Prof. Visith Thongboonkerd, Head of Medical Proteomics Unit, Office for Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, 6th Floor – SiMR Building, 2 Wanglang Road, Bangkoknoi, Bangkok 10700, Thailand; and Center for Research in Complex Systems Science, Mahidol University, Bangkok, Thailand, Phone: +66-2-4192850, E-mail:

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission. PP, NA, SS, SA, AV and VT designed research; PP, NA, SS, SA and AV performed experiments; PP, NA, SS, SA, AV and VT analyzed data; PP, SS, SA, AV and VT wrote the manuscript; all authors reviewed and approved the manuscript.

  2. Research funding: This study was supported by Mahidol University research grant, Office of the Higher Education Commission and Mahidol University under the National Research Universities Initiative, and the Thailand Research Fund (RTA5680004 and IRG5980006). VT is supported by “Chalermphrakiat” and “Research Staff” Grants from Faculty of Medicine Siriraj Hospital, whereas SA is supported by the Royal Golden Jubilee PhD Program of The Thailand Research Fund.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

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Supplemental Material:

The online version of this article (DOI: https://doi.org/10.1515/cclm-2016-0464) offers supplementary material, available to authorized users.


Received: 2016-5-30
Accepted: 2016-10-12
Published Online: 2016-12-17
Published in Print: 2017-6-27

©2017 Walter de Gruyter GmbH, Berlin/Boston

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