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During the congress, E-Posters will be accessible to all participants on the congress website 24/7, as well as in the E-poster stations in the congress center.
Preparing your E-Poster
Please review the E-Poster format requirements carefully when preparing your E-Poster. Should your E-Poster not meet the mentioned requirements, it may not be displayed as described above.
E-Poster Submission Deadline
Please prepare and upload your E-Poster no later than March 14, 2026 11.59PM CET. After this date, you will no longer be able to prepare and upload your E-poster and it will not be displayed and accessible on the congress website.
Please follow the instructions below to input your abstract title.
Abstract titles should be brief and reflect the content of the abstract.
Our laboratory is currently promoting the "All-in-One Urine Test" project. This project aims to discover urinary biomarkers that will be useful for understanding health status and the early detection of various diseases. To realize this project, we have been collecting urine and building a urine bank since around 2013. At the same time, we have also built a quantitative proteomics platform that uses mass spectrometry to comprehensively identify and quantify urinary proteins. In this study, we report the details and usefulness of this urine bank, one of the largest in the world. Furthermore, to investigate changes in urine composition depending on the time of collection, urine was collected from the same subject three times over the course of a week: morning, afternoon, and evening. As part of this "All-in-One Urine Test" project, we present findings regarding urinary biomarkers that correlate with the level of the heart failure marker NT-proBNP.
Post-test residual urine samples were collected at various collaborating institutions and hospitals in accordance with the Human Kidney and Urine Proteome Project (HKUPP) guidelines of the Human Proteome Organization (HUPO). The urine samples, along with the test data, were sent to our center and stored at -20°C. Urinary proteins were precipitated using organic solvent precipitation, and the precipitated proteins were purified into peptides using trypsin. The purified peptides were measured using the SWATH mode of a mass spectrometer and identified and quantified using DIA-NN analysis software.
The Biofluid Biomarker Center's urine bank currently houses over 170,000 urine samples (from over 17,000 individuals) collected by various collaborators. These samples include urine samples from diseased patients, long-term urine samples from hospitalized patients, and urine samples from patients undergoing health checkups and comprehensive medical examinations. Approximately 4,000 of these patients have been receiving treatment for more than five years, and research is underway to identify biomarkers that can predict the onset of specific diseases. Examination of the diurnal (morning, noon, and evening) and daily variations in urinary protein concentrations revealed that most proteins are excreted steadily. Furthermore, examination of the correlation between urinary protein and NT-proBNP levels revealed a positive or negative correlation with NT-proBNP levels.
Aiming to understand health status and detect various diseases early using urine samples, we are working on quantitative proteomics, which uses mass spectrometry to comprehensively identify and quantify urinary proteins from healthy individuals and patients with various diseases. The urine bank operated by our center is one of the largest in the world, and is unique in that it stores not only individual urine samples from patients with various diseases, but also urine samples collected continuously from the same patient over multiple years. These urine samples can also be used to search for biomarkers for the early detection and prediction of diseases. Furthermore, quantifying proteins correlated with NT-proBNP levels selected in the search for urinary biomarkers is expected to complement clinically measured NT-proBNP levels and enable more accurate detection of heart failure.
