Circulating metabolites differentiate acute ischemic stroke from stroke mimics

Standard

Circulating metabolites differentiate acute ischemic stroke from stroke mimics. / Tiedt, Steffen; Brandmaier, Stefan; Kollmeier, Hanna; Duering, Marco; Artati, Anna; Adamski, Jerzy; Klein, Matthias; Liebig, Thomas; Holdt, Lesca M; Teupser, Daniel; Wang-Sattler, Rui; Schwedhelm, Edzard; Gieger, Christian; Dichgans, Martin.

in: ANN NEUROL, Jahrgang 88, Nr. 4, 10.2020, S. 736-746.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Tiedt, S, Brandmaier, S, Kollmeier, H, Duering, M, Artati, A, Adamski, J, Klein, M, Liebig, T, Holdt, LM, Teupser, D, Wang-Sattler, R, Schwedhelm, E, Gieger, C & Dichgans, M 2020, 'Circulating metabolites differentiate acute ischemic stroke from stroke mimics', ANN NEUROL, Jg. 88, Nr. 4, S. 736-746. https://doi.org/10.1002/ana.25859

APA

Tiedt, S., Brandmaier, S., Kollmeier, H., Duering, M., Artati, A., Adamski, J., Klein, M., Liebig, T., Holdt, L. M., Teupser, D., Wang-Sattler, R., Schwedhelm, E., Gieger, C., & Dichgans, M. (2020). Circulating metabolites differentiate acute ischemic stroke from stroke mimics. ANN NEUROL, 88(4), 736-746. https://doi.org/10.1002/ana.25859

Vancouver

Tiedt S, Brandmaier S, Kollmeier H, Duering M, Artati A, Adamski J et al. Circulating metabolites differentiate acute ischemic stroke from stroke mimics. ANN NEUROL. 2020 Okt;88(4):736-746. https://doi.org/10.1002/ana.25859

Bibtex

@article{a12027a940dc44eaa91ceee4ba167f28,
title = "Circulating metabolites differentiate acute ischemic stroke from stroke mimics",
abstract = "OBJECTIVE: Early discrimination of patients with ischemic stroke (IS) from stroke mimics (SMs) poses a diagnostic challenge. The circulating metabolome might reflect pathophysiological events related to acute IS. Here, we investigated the utility of early metabolic changes for differentiating IS from SM.METHODS: We performed untargeted metabolomics on serum samples obtained from patients with IS (N = 508) and SM (N = 349; defined by absence of a diffusion weighted imaging [DWI] positive lesion on magnetic resonance imaging [MRI]) who presented to the hospital within 24 hours after symptom onset (median time from symptom onset to blood sampling = 3.3 hours; interquartile range [IQR] = 1.6-6.7 hours) and from neurologically normal controls (NCs; N = 112). We compared diagnostic groups in a discovery-validation approach by applying multivariable linear regression models, machine learning techniques, and propensity score matching. We further performed a targeted look-up of published metabolite sets.RESULTS: Levels of 41 metabolites were significantly associated with IS compared to NCs. The top metabolites showing the highest value in separating IS from SMs were asymmetrical and symmetrical dimethylarginine, pregnenolone sulfate, and adenosine. Together, these 4 metabolites differentiated patients with IS from SMs with an area under the curve (AUC) of 0.90 in the replication sample, which was superior to multimodal cranial computed tomography (CT; AUC = 0.80) obtained for routine diagnostics. They were further superior to previously published metabolite sets detected in our samples. All 4 metabolites returned to control levels by day 90.INTERPRETATION: A set of 4 metabolites with known biological effects relevant to stroke pathophysiology shows unprecedented utility to identify patients with IS upon hospital arrival, thus encouraging further investigation, including multicenter studies. ANN NEUROL 2020;88:736-746.",
author = "Steffen Tiedt and Stefan Brandmaier and Hanna Kollmeier and Marco Duering and Anna Artati and Jerzy Adamski and Matthias Klein and Thomas Liebig and Holdt, {Lesca M} and Daniel Teupser and Rui Wang-Sattler and Edzard Schwedhelm and Christian Gieger and Martin Dichgans",
note = "{\textcopyright} 2020 American Neurological Association.",
year = "2020",
month = oct,
doi = "10.1002/ana.25859",
language = "English",
volume = "88",
pages = "736--746",
journal = "ANN NEUROL",
issn = "0364-5134",
publisher = "John Wiley and Sons Inc.",
number = "4",

}

RIS

TY - JOUR

T1 - Circulating metabolites differentiate acute ischemic stroke from stroke mimics

AU - Tiedt, Steffen

AU - Brandmaier, Stefan

AU - Kollmeier, Hanna

AU - Duering, Marco

AU - Artati, Anna

AU - Adamski, Jerzy

AU - Klein, Matthias

AU - Liebig, Thomas

AU - Holdt, Lesca M

AU - Teupser, Daniel

AU - Wang-Sattler, Rui

AU - Schwedhelm, Edzard

AU - Gieger, Christian

AU - Dichgans, Martin

N1 - © 2020 American Neurological Association.

PY - 2020/10

Y1 - 2020/10

N2 - OBJECTIVE: Early discrimination of patients with ischemic stroke (IS) from stroke mimics (SMs) poses a diagnostic challenge. The circulating metabolome might reflect pathophysiological events related to acute IS. Here, we investigated the utility of early metabolic changes for differentiating IS from SM.METHODS: We performed untargeted metabolomics on serum samples obtained from patients with IS (N = 508) and SM (N = 349; defined by absence of a diffusion weighted imaging [DWI] positive lesion on magnetic resonance imaging [MRI]) who presented to the hospital within 24 hours after symptom onset (median time from symptom onset to blood sampling = 3.3 hours; interquartile range [IQR] = 1.6-6.7 hours) and from neurologically normal controls (NCs; N = 112). We compared diagnostic groups in a discovery-validation approach by applying multivariable linear regression models, machine learning techniques, and propensity score matching. We further performed a targeted look-up of published metabolite sets.RESULTS: Levels of 41 metabolites were significantly associated with IS compared to NCs. The top metabolites showing the highest value in separating IS from SMs were asymmetrical and symmetrical dimethylarginine, pregnenolone sulfate, and adenosine. Together, these 4 metabolites differentiated patients with IS from SMs with an area under the curve (AUC) of 0.90 in the replication sample, which was superior to multimodal cranial computed tomography (CT; AUC = 0.80) obtained for routine diagnostics. They were further superior to previously published metabolite sets detected in our samples. All 4 metabolites returned to control levels by day 90.INTERPRETATION: A set of 4 metabolites with known biological effects relevant to stroke pathophysiology shows unprecedented utility to identify patients with IS upon hospital arrival, thus encouraging further investigation, including multicenter studies. ANN NEUROL 2020;88:736-746.

AB - OBJECTIVE: Early discrimination of patients with ischemic stroke (IS) from stroke mimics (SMs) poses a diagnostic challenge. The circulating metabolome might reflect pathophysiological events related to acute IS. Here, we investigated the utility of early metabolic changes for differentiating IS from SM.METHODS: We performed untargeted metabolomics on serum samples obtained from patients with IS (N = 508) and SM (N = 349; defined by absence of a diffusion weighted imaging [DWI] positive lesion on magnetic resonance imaging [MRI]) who presented to the hospital within 24 hours after symptom onset (median time from symptom onset to blood sampling = 3.3 hours; interquartile range [IQR] = 1.6-6.7 hours) and from neurologically normal controls (NCs; N = 112). We compared diagnostic groups in a discovery-validation approach by applying multivariable linear regression models, machine learning techniques, and propensity score matching. We further performed a targeted look-up of published metabolite sets.RESULTS: Levels of 41 metabolites were significantly associated with IS compared to NCs. The top metabolites showing the highest value in separating IS from SMs were asymmetrical and symmetrical dimethylarginine, pregnenolone sulfate, and adenosine. Together, these 4 metabolites differentiated patients with IS from SMs with an area under the curve (AUC) of 0.90 in the replication sample, which was superior to multimodal cranial computed tomography (CT; AUC = 0.80) obtained for routine diagnostics. They were further superior to previously published metabolite sets detected in our samples. All 4 metabolites returned to control levels by day 90.INTERPRETATION: A set of 4 metabolites with known biological effects relevant to stroke pathophysiology shows unprecedented utility to identify patients with IS upon hospital arrival, thus encouraging further investigation, including multicenter studies. ANN NEUROL 2020;88:736-746.

U2 - 10.1002/ana.25859

DO - 10.1002/ana.25859

M3 - SCORING: Journal article

C2 - 32748431

VL - 88

SP - 736

EP - 746

JO - ANN NEUROL

JF - ANN NEUROL

SN - 0364-5134

IS - 4

ER -