Evidence map›Paper›PMID 41876927›Full record

ArticleTranslational stroke research2026

Phenotype-Aligned Metabolomics Identifies Plasma Arginine as a Candidate Predictor of Delayed Cerebral Ischemia after Aneurysmal Subarachnoid Hemorrhage.

Krzysztof Urbanowicz, Karol Wiśniewski, Mikołaj Opiełka, Michał Bieńkowski, Marta Popęda, Oliwier Krajewski, Ernest J Bobeff, Karol Zaczkowski, Bartosz Szmyd, Dariusz J Jaskólski and 1 more

Abstract read
In one paragraph

Article in Translational stroke 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

11 authors.

Krzysztof UrbanowiczDepartment of Biochemistry, Medical University of Gdańsk, Gdańsk, Poland. kj.urbanowicz@gumed.edu.pl.ORCID http://orcid.org/0000-0001-6645-6893
Karol WiśniewskiDepartment of Neurosurgery and Neurooncology, Medical University of Łódź, Barlicki University Hospital, Łódź, Poland.ORCID http://orcid.org/0000-0001-8736-0305
Mikołaj OpiełkaDepartment of Biochemistry, Medical University of Gdańsk, Gdańsk, Poland.ORCID http://orcid.org/0000-0003-3423-3745
Michał BieńkowskiDepartment of Pathomorphology, Medical University of Gdańsk, Gdańsk, Poland.ORCID http://orcid.org/0000-0002-9291-3928
Marta PopędaDepartment of Pathomorphology, Medical University of Gdańsk, Gdańsk, Poland.ORCID http://orcid.org/0000-0002-4596-4837
Oliwier KrajewskiDepartment of Biochemistry, Medical University of Gdańsk, Gdańsk, Poland.ORCID http://orcid.org/0009-0004-0056-1761
Ernest J BobeffDepartment of Neurosurgery and Neurooncology, Medical University of Łódź, Barlicki University Hospital, Łódź, Poland.ORCID http://orcid.org/0000-0003-1891-3791
Karol ZaczkowskiDepartment of Neurosurgery and Neurooncology, Medical University of Łódź, Barlicki University Hospital, Łódź, Poland.ORCID http://orcid.org/0009-0003-8115-6030
Bartosz SzmydDepartment of Neurosurgery and Neurooncology, Medical University of Łódź, Barlicki University Hospital, Łódź, Poland.ORCID http://orcid.org/0000-0002-4051-0887
Dariusz J JaskólskiDepartment of Neurosurgery and Neurooncology, Medical University of Łódź, Barlicki University Hospital, Łódź, Poland.ORCID http://orcid.org/0000-0002-9971-9677
Ryszard T SmoleńskiDepartment of Biochemistry, Medical University of Gdańsk, Gdańsk, Poland. rt.smolenski@gumed.edu.pl.ORCID http://orcid.org/0000-0002-0190-9414

Funding

Narodowym Centrum Nauki UMO-2024/53/B/NZ5/00343Polish Ministry of Science and Education IA/SP/490536/2021
6 · The paper itself

Abstract

Delayed cerebral ischemia (DCI) affects approximately 30% of aneurysmal subarachnoid hemorrhage (aSAH) survivors and is a leading cause of morbidity and mortality post-aSAH. Current risk assessment relies on radiographic severity scores that stratify populations based on hemorrhage characteristics but cannot predict DCI onset for individual patients. No plasma-based biomarkers for DCI prediction currently exist. We used liquid chromatography – mass spectrometry to perform plasma metabolomics in 60 aSAH patients (50% female, 30 DCI, 30 No-DCI) with longitudinal sampling until 7 days post-aSAH. Samples were retrospectively aligned to individual DCI onset times per patient, isolating 24–48 h and 48–72 h pre-event windows. Arginine emerged as the sole FDR-significant metabolite 24–48 h before DCI (q = 0.022, 39% depletion) and ranked #1 of 2,022 metabolites across three statistical methods (Student’s t-test, Welch’s t-test, Mann-Whitney U test, p = 10⁻⁵ to 10⁻⁴). Zero metabolites achieved FDR significance at 48–72 h, confirming temporal specificity. Independent logistic regression validated predictive performance (odds ratio 0.22, p = 0.001, AUC 0.808, 95% CI: 0.647–0.945), outperforming modified Fisher radiographic score (AUC 0.718, 95% CI: 0.593–0.830). The combination model of arginine and modified Fisher score performed best with AUC 0.856 (95% CI: 0.733–0.955), with arginine as the dominant factor. Mechanistic investigation revealed FDR-significant depletion of arginine/ornithine (q = 0.011) and glutamine/glutamate ratios (q = 0.011), consistent with increased arginase activity competing with nitric oxide synthesis. Plasma arginine represents a candidate single-molecule biomarker for DCI with a clinically actionable pre-event detection window, pending prospective validation. Temporal alignment to individual DCI onsets enabled detection of pre-event metabolic changes 24–48 h before symptom onset.

Indexed as

ArginineBrain IschemiaMetabolomicsSubarachnoid HemorrhageAdultBiomarkersFemaleHumansMaleMiddle AgedPhenotypeRetrospective StudiesArginineBiomarkersAneurysmal subarachnoid hemorrhageDelayed cerebral ischemiaMetabolomicsPhenotype alignmentPredictive biomarkersPredictor discovery

Identifiers

PMID41876927
PMCPMC13013107

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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.