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Urine Studies I: Urinalysis

Urine Studies I: Urinalysis

Urinalysis is a widely used diagnostic test that analyzes urine's physical, chemical, and microscopic characteristics. Healthcare providers use it to detect and monitor various health conditions, including renal disease, urinary tract infections (UTIs), diabetes, and metabolic or systemic disorders.Components of UrinalysisUrinalysis consists of three primary components: physical, chemical, and microscopic examination. Each provides unique insights into the urine sample and, by extension, the...

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Updated: Mar 20, 2026

Hydrogel Nanoparticle Harvesting of Plasma or Urine for Detecting Low Abundance Proteins

Hydrogel Nanoparticle Harvesting of Plasma or Urine for Detecting Low Abundance Proteins

Published on: August 7, 2014

Optimizing Urine Processing Protocols for Protein and Metabolite Detection.

Nazema Y Siddiqui¹, Laura G DuBois², Lisa St John-Williams²

¹Division of Urogynecology & Reconstructive Pelvic Surgery; Department of Obstetrics & Gynecology, Duke University, Durham, NC, USA.

Journal of Proteomics & Bioinformatics

|May 24, 2016

Summary

This summary is machine-generated.

Protease inhibitors (PI) enhance protein yields in urine samples, regardless of storage temperature. Void timing is crucial for metabolite analysis, highlighting the need for standardized collection protocols in translational research.

Keywords:

Boric acid First morning void Metabolomics Protease inhibitors Proteomics Random void Urine Urine protein degradation

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Last Updated: Mar 20, 2026

Hydrogel Nanoparticle Harvesting of Plasma or Urine for Detecting Low Abundance Proteins

Hydrogel Nanoparticle Harvesting of Plasma or Urine for Detecting Low Abundance Proteins

Published on: August 7, 2014

Proteomic Profile of EPS-Urine through FASP Digestion and Data-Independent Analysis

Published on: May 8, 2021

One-step Metabolomics: Carbohydrates, Organic and Amino Acids Quantified in a Single Procedure

One-step Metabolomics: Carbohydrates, Organic and Amino Acids Quantified in a Single Procedure

Published on: June 25, 2010

Area of Science:

Urine proteomics and metabolomics
Clinical sample processing
Biomarker discovery

Background:

Urine sample quality is affected by void timing and room temperature (RT) storage.
Additives can improve detection but complicate analysis.
Optimal processing protocols are needed for high protein and metabolite yields.

Purpose of the Study:

Identify optimal urine processing for maximum protein and metabolite recovery.
Minimize sample degradation during processing and storage.
Evaluate the impact of additives and storage conditions on urine analytes.

Main Methods:

Collected first morning (1st AM) and random void urine samples from healthy women.
Aliquoted samples with no additive, boric acid (BA), protease inhibitor (PI), or BA + PI.
Stored aliquots at 4°C or RT for 4 hours.
Quantified proteins and metabolites, normalized to creatinine.
Assessed protein degradation using mass spectrometry.

Main Results:

First morning voids had slightly higher normalized protein concentrations than random voids.
Protease inhibitor (PI) significantly improved normalized protein concentrations.
Boric acid (BA) did not significantly affect protein levels.
Minimal protein degradation observed across tested conditions.
Significant differences in individual amino acids based on void timing.

Conclusions:

Void timing information is essential for comparative translational urine research.
Protease inhibitor (PI) enhances protein yields in urine samples.
Boric acid (BA) is not necessary for same-day urine sample processing.
Protein yields are improved with PI regardless of 4°C or RT storage.