Evidence map›Paper›PMID 38148934›Full record

ArticleAmerican journal of clinical and experimental urology2023

Investigating the effects of storage conditions on urinary volatilomes for their reliability in disease diagnosis.

Kiana L Holbrook, Sabur Badmos, Ahsan Habib, Elizabeth Noriega Landa, George E Quaye, Michael Pokojovy, Xiaogang Su, Wen-Yee Lee

Open access · greenAbstract read
In one paragraph

Article in American journal of clinical and experimental urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 45% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Kiana L HolbrookDepartment of Chemistry and Biochemistry, University of Texas at El Paso El Paso, TX 79968, USA.
Sabur BadmosDepartment of Chemistry and Biochemistry, University of Texas at El Paso El Paso, TX 79968, USA.
Ahsan HabibDepartment of Chemistry and Biochemistry, University of Texas at El Paso El Paso, TX 79968, USA.
Elizabeth Noriega LandaDepartment of Chemistry and Biochemistry, University of Texas at El Paso El Paso, TX 79968, USA.
George E QuayeDepartment of Mathematical Sciences, University of Texas at El Paso El Paso, TX 79968, USA.
Michael PokojovyDepartment of Mathematical Sciences, University of Texas at El Paso El Paso, TX 79968, USA.
Xiaogang SuDepartment of Mathematical Sciences, University of Texas at El Paso El Paso, TX 79968, USA.
Wen-Yee LeeDepartment of Chemistry and Biochemistry, University of Texas at El Paso El Paso, TX 79968, USA.
The University of Texas at El Paso · US

Funding

UTEP Border Biomedical Research CenterU54MD007592 · NIMHD · UNIVERSITY OF TEXAS EL PASO · PI Robert A. Kirken · 2019 to 2026
$35.1M
TCCG12MD007592 · NIMHD · UNIVERSITY OF TEXAS EL PASO · PI KIRKEN, ROBERT A. · 2012 to 2018
$19.4M
RISE Scholars Program at UTEPR25GM069621 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI AGUILERA, RENATO J · 2004 to 2021
$11.2M
G-RISE at the University of Texas at El PasoT32GM144919 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI AGUILERA, RENATO J · 2022 to 2024
$1.5M
Urinary biomarkers for prostate cancer diagnosis and risk assessmentSC1CA245675 · NCI · UNIVERSITY OF TEXAS EL PASO · PI LEE, WEN-YEE · 2019 to 2023
$1.5M
NCI NIH HHS SC1 CA245675NIGMS NIH HHS R25 GM069621NIGMS NIH HHS T32 GM144919NIMHD NIH HHS G12 MD007592NIMHD NIH HHS U54 MD007592
6 · The paper itself

Abstract

backgroundCancer detection presents challenges regarding invasiveness, cost, and reliability. As a result, exploring alternative diagnostic methods holds significant clinical importance. Urinary metabolomic profiling has emerged as a promising avenue; however, its application for cancer diagnosis may be influenced by sample preparation or storage conditions.

objectiveThis study aimed to assess the impact of sample storage and processing conditions on urinary volatile organic compounds (VOCs) profiles and establish a robust standard operating procedure (SOP) for such diagnostic applications.

methodsFive key variables were investigated: storage temperatures, durations, freeze-thaw cycles, sample collection conditions, and sample amounts. The analysis of VOCs involved stir bar sorptive extraction coupled with thermal desorption-gas chromatography/mass spectrometry (SBSE-TD-GC-MS), with compound identification facilitated by the National Institute of Standards and Technology Library (NIST). Extensive statistical analysis, including combined scatterplot and response surface (CSRS) plots, partial least squares-discriminant analysis (PLS-DA), and probability density function plots (PDFs), were employed to study the effects of the factors.

resultsOur findings revealed that urine storage duration, sample amount, temperature, and fasting/non-fasting sample collection did not significantly impact urinary metabolite profiles. This suggests flexibility in urine sample collection conditions, enabling individuals to contribute samples under varying circumstances. However, the influence of freeze-thaw cycles was evident, as VOC profiles exhibited distinct clustering patterns based on the number of cycles. This emphasizes the effect of freeze-thaw cycles on the integrity of urinary profiles.

conclusionsThe developed SOP integrating SBSE-TD-GC-MS and statistical analyses can serve as a valuable tool for analyzing urinary organic compounds with minimal preparation and sensitive detection. The findings also support that urinary VOCs for cancer screening and diagnosis could be a feasible alternative offering a robust, non-invasive, and sensitive approach for cancer screening.

Indexed as

metabolomicsSBSE-GC-MSstandard operating proceduresurinary biomarkersvolatile organic compounds

Identifiers

PMID38148934
PMCPMC10749378
OpenAlexW4390280033

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.