Evidence map›Paper›PMID 41614942›Full record

ArticleCurrent issues in molecular biology2026

Temporal Urinary Metabolomic Profiling in ICU Patients with Critical COVID-19: A Pilot Study Providing Insights into Prognostic Biomarkers via

Emir Matpan, Ahmet Tarik Baykal, Lütfi Telci, Türker Kundak, Mustafa Serteser

Abstract read
In one paragraph

Article in Current issues in molecular biology, 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

5 authors.

Emir MatpanDepartment of Medical Biochemistry, School of Medicine, Acibadem Mehmet Ali Aydinlar University, 34752 Istanbul, Turkey.ORCID 0000-0002-6175-897X
Ahmet Tarik BaykalDepartment of Medical Biochemistry, School of Medicine, Acibadem Mehmet Ali Aydinlar University, 34752 Istanbul, Turkey.ORCID 0000-0002-8814-7351
Lütfi TelciDivisions of Anesthesiology and Reanimation, and General Intensive Care, Acibadem International Hospital, 34149 Istanbul, Turkey.
Türker KundakDivision of Internal Medicine, Acibadem International Hospital, 34149 Istanbul, Turkey.
Mustafa SerteserDepartment of Medical Biochemistry, School of Medicine, Acibadem Mehmet Ali Aydinlar University, 34752 Istanbul, Turkey.ORCID 0000-0001-7868-7613

Funding

Acıbadem University Scientific Research Projects Commission (ABAPKO) TTU-2023-2148
6 · The paper itself

Abstract

Although the impact of COVID-19, caused by SARS-CoV-2, may appear to have diminished in recent years, the emergence of new variants still continues to cause significant global health and economic challenges. While numerous metabolomic studies have explored serum-based alterations linked to the infection, investigations utilizing urine as a biological matrix remain notably limited. This gap is especially significant given the potential advantages of urine, a non-invasive and easily obtainable biofluid, in clinical settings. In the context of patients in intensive care units (ICUs), temporal monitoring through such non-invasive samples may offer a practical and effective approach for tracking disease progression and tailoring therapeutic interventions. This study retrospectively explored the longitudinal metabolomic alterations in COVID-19 patients admitted to the ICU, stratified into three prognostic outcome groups: healthy discharged (HD), polyneuropathic syndrome (PS), and Exitus. A total of 32 urine samples, collected at four distinct time points per patient during April 2020 and preserved at -80 °C, were analyzed by proton nuclear magnetic resonance (

Indexed as

1H-NMRcritical COVID-19metabolomicsreal-time series analysesurine

Identifiers

PMID41614942
PMCPMC12839722

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Registered trials

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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.