Evidence map›Paper›PMID 34386234›Full record

ReviewClinical & translational immunology2021

Cerebrospinal fluid metabolomics: detection of neuroinflammation in human central nervous system disease.

Jingya Yan, Unnikrishnan Kuzhiumparambil, Sushil Bandodkar, Russell C Dale, Shanlin Fu

Open access · goldAbstract readReview
In one paragraph

Review in Clinical & translational immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

35 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Recent advances in diagnostic technologies for postoperative central nervous system infections: a review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  8. Article
  9. Article
  10. Characterizing circulating biomarkers for childhood dementia disorders: A scoping review of clinical trials.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  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 2 institutions in 1 country.

Jingya YanCentre for Forensic Science University of Technology Sydney Sydney NSW Australia.ORCID https://orcid.org/0000-0002-0970-1570
Unnikrishnan KuzhiumparambilClimate Change Cluster University of Technology Sydney Sydney NSW Australia.ORCID https://orcid.org/0000-0003-0582-6779
Sushil BandodkarDepartment of Clinical Biochemistry The Children's Hospital at Westmead Sydney NSW Australia.ORCID https://orcid.org/0000-0001-5000-4518
Russell C DaleClinical School The Children's Hospital at Westmead Faculty of Medicine and Health University of Sydney Sydney NSW Australia.ORCID https://orcid.org/0000-0002-2495-1826
Shanlin FuCentre for Forensic Science University of Technology Sydney Sydney NSW Australia.ORCID https://orcid.org/0000-0002-6238-3612
University of Technology Sydney · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high morbidity and mortality of neuroinflammatory diseases drives significant interest in understanding the underlying mechanisms involved in the innate and adaptive immune response of the central nervous system (CNS). Diagnostic biomarkers are important to define treatable neuroinflammation. Metabolomics is a rapidly evolving research area offering novel insights into metabolic pathways, and elucidation of reliable metabolites as biomarkers for diseases. This review focuses on the emerging literature regarding the detection of neuroinflammation using cerebrospinal fluid (CSF) metabolomics in human cohort studies. Studies of classic neuroinflammatory disorders such as encephalitis, CNS infection and multiple sclerosis confirm the utility of CSF metabolomics. Additionally, studies in neurodegeneration and neuropsychiatry support the emerging potential of CSF metabolomics to detect neuroinflammation in common CNS diseases such as Alzheimer's disease and depression. We demonstrate metabolites in the tryptophan-kynurenine pathway, nitric oxide pathway, neopterin and major lipid species show moderately consistent ability to differentiate patients with neuroinflammation from controls. Integration of CSF metabolomics into clinical practice is warranted to improve recognition and treatment of neuroinflammation.

Indexed as

cerebrospinal fluidmetabolomicsneopterinneuroinflammationnitric oxide pathwaytryptophan–kynurenine

Identifiers

PMID34386234
PMCPMC8343457
OpenAlexW3191504399

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.