Evidence map›Paper›PMID 28868043›Full record

ReviewFrontiers in neurology2017

Metabolomics Profiling As a Diagnostic Tool in Severe Traumatic Brain Injury.

Jussi P Posti, Alex M Dickens, Matej Orešič, Tuulia Hyötyläinen, Olli Tenovuo

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06927063 (Long-term Recovery and Microbiota-Gut-Brain Axis Disruption After Traumatic Brain Injury), which is not on this map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.0field-weighted citation impact, top 9% 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.

NCT06927063 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Long-term Recovery and Microbiota-Gut-Brain Axis Disruption After Traumatic Brain Injury

Typeobservational_patient_registrySponsorTurku University HospitalRan2025 to 2028Enrolled160ConditionsTraumatic Brain InjuryArmsblood-based protein biomarker assessments, blood-based metabolomic/lipidomic biomarker assessments, Diffusion-weighted magnetic resonance imaging (brain), Structural magnetic resonance imaging (brain), PET imaging (brain)
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Research progress on biomarkers of traumatic brain injury.Animal models and experimental medicine · 2026
    Review
  3. Article
  4. Article
  5. Metabolomic alterations in human brain microvascular endothelial cells induced by traumatic injury.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  6. Article
  7. Volatile organic compounds in exhaled breath of newborns: a pilot study.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Whole-Blood Metabolomics of a Rat Model of Repetitive Concussion.Journal of molecular neuroscience : MN · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article
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 at 3 institutions in 2 countries.

Jussi P PostiDivision of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital, Turku, Finland.
Alex M DickensTurku Centre for Biotechnology, University of Turku, Turku, Finland.
Matej OrešičTurku Centre for Biotechnology, University of Turku, Turku, Finland.
Tuulia HyötyläinenDepartment of Chemistry, Örebro University, Örebro, Sweden.
Olli TenovuoDivision of Clinical Neurosciences, Department of Rehabilitation and Brain Trauma, Turku University Hospital, Turku, Finland.
Turku Centre for Biotechnology · FITurku University Hospital · FIÖrebro University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic brain injury (TBI) is a complex disease with a multifaceted pathophysiology. Impairment of energy metabolism is a key component of secondary insults. This phenomenon is a consequence of multiple potential mechanisms including diffusion hypoxia, mitochondrial failure, and increased energy needs due to systemic trauma responses, seizures, or spreading depolarization. The degree of disturbance in brain metabolism is affected by treatment interventions and reflected in clinical patient outcome. Hence, monitoring of these secondary events in peripheral blood will provide a window into the pathophysiological course of severe TBI. New methods for assessing perturbation of brain metabolism are needed in order to monitor on-going pathophysiological processes and thus facilitate targeted interventions and predict outcome. Circulating metabolites in peripheral blood may serve as sensitive markers of pathological processes in TBI. The levels of these small molecules in blood are less dependent on the integrity of the blood-brain barrier as compared to protein biomarkers. We have recently characterized a specific metabolic profile in serum that is associated with both initial severity and patient outcome of TBI. We found that two medium-chain fatty acids, octanoic and decanoic acids, as well as several sugar derivatives are significantly associated with the severity of TBI. The top ranking peripheral blood metabolites were also highly correlated with their levels in cerebral microdialyzates. Based on the metabolite profile upon admission, we have been able to develop a model that accurately predicts patient outcome. Moreover, metabolomics profiling improved the performance of the well-established clinical prognostication model. In this review, we discuss metabolomics profiling in patients with severe TBI. We present arguments in support of the need for further development and validation of circulating biomarkers of cerebral metabolism and for their use in assessing patients with severe TBI.

Indexed as

biomarkermass spectrometrymetabolomicsneuromonitoringoutcometraumatic brain injury

Identifiers

PMID28868043
PMCPMC5563327
OpenAlexW2746274091

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.