Evidence map›Paper›PMID 42314122›Full record

ArticleJournal of proteome research2026

Evaluation of FASP for Mass Spectrometry-Based Untargeted Metabolomics Analysis of Urine Samples.

Muath Khairi Mousa, Luis B Carvalho, Alexander D Giddey, André Figueiredo, Hamza Al-Hroub, Mohammad H Semreen, Mohammed Uddin, Hugo M Santos, Nelson C Soares

Abstract read
In one paragraph

Article in Journal of proteome research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Muath Khairi MousaOMICS and Analytical Development Group, BIOSCOPE Research Group, LAQV REQUIMTE, Chemistry Department, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Caparica 2829-516, Portugal.
Luis B CarvalhoOMICS and Analytical Development Group, BIOSCOPE Research Group, LAQV REQUIMTE, Chemistry Department, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Caparica 2829-516, Portugal.
Alexander D GiddeyCenter for Applied and Translational Genomics (CATG) - Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU), Dubai Health, Dubai, P.O. Box 50505, United Arab Emirates.ORCID 0000-0002-2034-8122
André FigueiredoOMICS and Analytical Development Group, BIOSCOPE Research Group, LAQV REQUIMTE, Chemistry Department, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Caparica 2829-516, Portugal.
Hamza Al-HroubResearch Institute of Medical and Health Sciences, University of Sharjah, Sharjah, P.O. Box 27272, United Arab Emirates.ORCID 0000-0001-5621-9851
Mohammad H SemreenResearch Institute of Medical and Health Sciences, University of Sharjah, Sharjah, P.O. Box 27272, United Arab Emirates.ORCID 0000-0002-0169-7538
Mohammed UddinCenter for Applied and Translational Genomics (CATG) - Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU), Dubai Health, Dubai, P.O. Box 50505, United Arab Emirates.
Hugo M SantosOMICS and Analytical Development Group, BIOSCOPE Research Group, LAQV REQUIMTE, Chemistry Department, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Caparica 2829-516, Portugal.
Nelson C SoaresCenter for Applied and Translational Genomics (CATG) - Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU), Dubai Health, Dubai, P.O. Box 50505, United Arab Emirates.ORCID 0000-0003-2331-8532

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Filter-Aided Sample Preparation (FASP) is a well-established method in proteomics, yet its potential for the parallel recovery of metabolites remains largely unexplored. Herein, we evaluate the performance of FASP as a straightforward workflow for the simultaneous isolation of protein and corresponding metabolite fractions from a single urine sample. The FASP-based LC-MS/MS approach for both proteomics and metabolomics analysis identified 3,163 nonredundant peptides corresponding to 957 unique protein groups. The metabolomic profile comparison of three urine fractions, specifically FASP-concentrated, FASP flow-through, and raw samples, resulted in the identification of 176 common metabolites. Next, as a proof-of-concept, the FASP protocol was applied to compare the metabolomic profiles of clinical urine samples from healthy individuals (n = 13) and patients with Ta bladder cancer (n = 12). The metabolomic modulation was consistent with previously reported findings, highlighting perturbations in phenylacetate, purine, and tryptophan metabolism, as reflected by changes in metabolites such as adenosine monophosphate (AMP), phenylacetic acid, glutamine, cytosine, and l-tryptophan. FASP protocol can be effectively adapted for the concurrent profiling of both proteomic and metabolomic fractions from urine samples. Thus, FASP-based workflow represents a viable alternative for single-step sample preparation, facilitating subsequent quantitative multiomics data integration.

Indexed as

MetabolomeMetabolomicsUrinary Bladder NeoplasmsChromatography, LiquidHumansLiquid Chromatography-Mass SpectrometryProteomicsTandem Mass SpectrometryBladder cancerFASPMetabolomicsMultiomicsProteomicsSample preparationUrine

Identifiers

PMID42314122
PMCPMC13339749

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.