Evidence map›Paper›PMID 37873871›Full record

ArticleProteomes2023

Urine-HILIC: Automated Sample Preparation for Bottom-Up Urinary Proteome Profiling in Clinical Proteomics.

Ireshyn Selvan Govender, Rethabile Mokoena, Stoyan Stoychev, Previn Naicker

Open access · goldAbstract read
In one paragraph

Article in Proteomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Integrated Biofluid Proteomics Identified Dynamic Functional Biomarkers ofmedRxiv : the preprint server for health sciences · 2025
    Article
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  3. Article
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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

4 authors at 2 institutions in 1 country.

Ireshyn Selvan GovenderNextGen Health, Council for Scientific and Industrial Research, Pretoria 0001, South Africa.ORCID 0000-0002-5111-5970
Rethabile MokoenaNextGen Health, Council for Scientific and Industrial Research, Pretoria 0001, South Africa.
Stoyan StoychevNextGen Health, Council for Scientific and Industrial Research, Pretoria 0001, South Africa.ORCID 0000-0001-7504-4313
Previn NaickerNextGen Health, Council for Scientific and Industrial Research, Pretoria 0001, South Africa.ORCID 0000-0001-9418-6472
Council for Scientific and Industrial Research · ZAUniversity of the Witwatersrand · ZA

Funding

Council for Scientific and Industrial Research V1YHM02
6 · The paper itself

Abstract

Urine provides a diverse source of information related to a patient's health status and is ideal for clinical proteomics due to its ease of collection. To date, most methods for the preparation of urine samples lack the throughput required to analyze large clinical cohorts. To this end, we developed a novel workflow, urine-HILIC (uHLC), based on an on-bead protein capture, clean-up, and digestion without the need for bottleneck processing steps such as protein precipitation or centrifugation. The workflow was applied to an acute kidney injury (AKI) pilot study. Urine from clinical samples and a pooled sample was subjected to automated sample preparation in a KingFisher™ Flex magnetic handling station using the novel approach based on MagReSyn

Indexed as

automated sample preparationclinical proteomicsHILICSWATH-MS (DIA)urinary proteomics

Identifiers

PMID37873871
PMCPMC10594433
OpenAlexW4387133163

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.