Evidence map›Paper›PMID 39237693›Full record

ArticleScientific reports2024

Blood based metabolic markers of glioma from pre-diagnosis to surgery.

Sebastian Löding, Henrik Antti, Rickard L Sjöberg, Beatrice Melin, Benny Björkblom

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  5. Review
  6. Review
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.

Sebastian LödingDepartment of Chemistry, Umeå University, Linnaeus väg 10, 901 87, Umeå, Sweden. sebastian.jonsson@umu.se.ORCID 0000-0001-9228-0625
Henrik AnttiDepartment of Chemistry, Umeå University, Linnaeus väg 10, 901 87, Umeå, Sweden.
Rickard L SjöbergDepartment of Clinical Science, Neurosciences, Umeå University, 901 85, Umeå, Sweden.
Beatrice MelinDepartment of Diagnostics and Intervention, Oncology, Umeå University, 901 87, Umeå, Sweden.
Benny BjörkblomDepartment of Chemistry, Umeå University, Linnaeus väg 10, 901 87, Umeå, Sweden. benny.bjorkblom@umu.se.ORCID 0000-0001-9347-5790

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas are highly complex and metabolically active brain tumors associated with poor prognosis. Recent reports have found altered levels of blood metabolites during early tumor development, suggesting that tumor development could be detected several years before clinical manifestation. In this study, we performed metabolite analyses of blood samples collected from healthy controls and future glioma patients, up to eight years before glioma diagnosis, and on the day of glioma surgery. We discovered that metabolites related to early glioma development were associated with an increased energy turnover, as highlighted by elevated levels of TCA-related metabolites such as fumarate, malate, lactate and pyruvate in pre-diagnostic cases. We also found that metabolites related to glioma progression at surgery were primarily high levels of amino acids and metabolites of amino acid catabolism, with elevated levels of 11 amino acids and two branched-chain alpha-ketoacids, ketoleucine and ketoisoleucine. High amino acid turnover in glioma tumor tissue is currently utilized for PET imaging, diagnosis and delineation of tumor margins. By examining blood-based metabolic progression patterns towards disease onset, we demonstrate that this high amino acid turnover is also detectable in a simple blood sample. These findings provide additional insight of metabolic alterations during glioma development and progression.

Indexed as

Biomarkers, TumorBrain NeoplasmsGliomaAdultAmino AcidsDisease ProgressionFemaleHumansMaleMiddle AgedAmino AcidsBiomarkers, TumorBlood metabolitesEarly detectionGlioblastomaGliomaLiquid biopsySurgery

Identifiers

PMID39237693
PMCPMC11377417

What Socratic holds

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LicenceCC BY
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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.