Evidence map›Paper›PMID 30800679›Full record

ArticleBioMed research international2019

Amino Acid Biosignature in Plasma among Ischemic Stroke Subtypes.

Vânia A M Goulart, Marcelo M Sena, Thiago O Mendes, Helvécio C Menezes, Zenilda L Cardeal, Maria J N Paiva, Valéria C Sandrim, Mauro C X Pinto, Rodrigo R Resende

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 21% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  6. Plasma Cystine as a Marker of Acute Stroke Severity.Diagnostics (Basel, Switzerland) · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Searching for Metabolic Markers of Stroke in Human Plasma via NMR Analysis.International journal of molecular sciences · 2023
    Article
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  12. Article
  13. Article
  14. Article
  15. Review
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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

9 authors at 3 institutions in 1 country.

Vânia A M GoulartDepartment of Biochemistry and Immunology, Federal University of Minas Gerais, Belo Horizonte-MG, Brazil.
Marcelo M SenaDepartment of Chemistry, Federal University of Minas Gerais, Belo Horizonte-MG, Brazil.
Thiago O MendesInstitute of Learning and Research Santa Casa de BH, Belo Horizonte-MG, Brazil.
Helvécio C MenezesDepartment of Chemistry, Federal University of Minas Gerais, Belo Horizonte-MG, Brazil.
Zenilda L CardealDepartment of Chemistry, Federal University of Minas Gerais, Belo Horizonte-MG, Brazil.ORCID 0000-0003-1383-6299
Maria J N PaivaDepartment of Chemistry, Federal University of Minas Gerais, Belo Horizonte-MG, Brazil.
Valéria C SandrimInstitute of Learning and Research Santa Casa de BH, Belo Horizonte-MG, Brazil.
Mauro C X PintoDepartment of Pharmacology, Federal University of Goiás, Goiânia-GO, Brazil.ORCID 0000-0002-1680-8130
Rodrigo R ResendeDepartment of Biochemistry and Immunology, Federal University of Minas Gerais, Belo Horizonte-MG, Brazil.
Universidade Federal de Minas Gerais · BRInstituto de Ensino e Pesquisa Santa Casa · BRUniversidade Federal de Goiás · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ischemic stroke is a neurovascular disorder caused by reduced or blockage of blood flow to the brain, which may permanently affect motor and cognitive abilities. The diagnostic of stroke is performed using imaging technologies, clinical evaluation, and neuropsychological protocols, but no blood test is available yet. In this work, we analyzed amino acid concentrations in blood plasma from poststroke patients in order to identify differences that could characterize the stroke etiology. Plasma concentrations of sixteen amino acids from patients with chronic ischemic stroke (n = 73) and the control group (n = 16) were determined using gas chromatography coupled to mass spectrometry (GC-MS). The concentration data was processed by Partial Least Squares-Discriminant Analysis (PLS-DA) to classify patients with stroke and control. The amino acid analysis generated a first model able to discriminate ischemic stroke patients from control group. Proline was the most important amino acid for classification of the stroke samples in PLS-DA, followed by lysine, phenylalanine, leucine, and glycine, and while higher levels of methionine and alanine were mostly related to the control samples. The second model was able to discriminate the stroke subtypes like atherothrombotic etiology from cardioembolic and lacunar etiologies, with lysine, leucine, and cysteine plasmatic concentrations being the most important metabolites. Our results suggest an amino acid biosignature for patients with chronic stroke in plasma samples, which can be helpful in diagnosis, prognosis, and therapeutics of these patients.

Indexed as

AgedAmino AcidsBrain IschemiaDiscriminant AnalysisFemaleHumansMaleMiddle AgedPlasmaPrognosisStrokeAmino Acids

Identifiers

PMID30800679
PMCPMC6360633
OpenAlexW2910068589

What OpenQuestion holds

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LicenceCC BY
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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.