Evidence map›Paper›PMID 42343199›Full record

ArticleBMC neuroscience2026

Using combined ROC curves to improve the diagnostic usefulness of glutaminase, prostaglandins, and 8-isoprostane as biomarkers of autism spectrum disorders;Role in the Glu-GABA-Gln cycle.

Afaf El-Ansary, Hanan A Alfawaz, Manan Alhakbany, Ramesa Shafi Bhat, Geir Bjørklund, Laila Y Al-Ayadhi

Abstract read
In one paragraph

Article in BMC neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Afaf El-AnsaryAutism Research and Treatment Centre, King Saud University, P.O. Box 2925, Riyadh, 11461, Saudi Arabia. afafkelansary@gmail.com.
Hanan A AlfawazDepartment of Food Science and Nutrition, College of Food & Agriculture Sciences, King Saud University, P.O. Box 22452, Riyadh, 11495, Saudi Arabia. halfawaz@ksu.edu.sa.
Manan AlhakbanyDepartment of Physiology, Faculty of Medicine, King Saud University, P.O. Box 2925, Riyadh, 11461, Saudi Arabia.
Ramesa Shafi BhatDepartment of Biochemistry, College of Science, King Saud University, P.O. Box 22452, Riyadh, 11495, Saudi Arabia.
Geir BjørklundCouncil for Nutritional and Environmental Medicine, Mo i Rana, Norway.
Laila Y Al-AyadhiAutism Research and Treatment Centre, King Saud University, P.O. Box 2925, Riyadh, 11461, Saudi Arabia.

Funding

Ongoing Research Funding program , King Saud University, Riyadh, Saudi Arabia. program number (ORF-2026R341)
6 · The paper itself

Abstract

Due to delayed symptoms and dependence of behavioral assessment, early diagnosis of autism spectrum disorder remains challenging. Identification of multivariate biomarker for the etiological mechanisms of ASD may enhance diagnostic accuracy. Multivariable logistic regression combines many predictors into a single risk score (linear predictor), resulting in an optimised ROC curve that enhances diagnostic accuracy over individual markers. The method comprises modelling a binary result, determining the likelihood, and visualising ROC based on the projected probabilities, which often improves individual marker AUCs. In the present study a diagnostic performance for a biomarker panel reflecting glutamatergic dysfunction, oxidative stress, and neuroinflammation was evaluated. Plasma levels of glutaminase, 8-isoprostane, and prostaglandin E₂ (PGE₂) obtained from 44 children with ASD and 40 age-matched controls were evaluated using receiver operating characteristic (ROC) analysis, both individually and in combined ROC models. Glutaminase showed significant negative correlations with both 8-isoprostane and PGE₂, whereas a positive correlation was observed between 8-isoprostane and PGE₂. All the three-biomarker showed good diagnostic performance for ASD on its own with statistically significant (p = 0.001) values of AUC of 0.830 for glutaminase, AUC of 0.815 for 8-Isoprostane and AUC of 0.818 for PGE₂. However combined ROC modeling substantially improved diagnostic accuracy by achieving high apparent discriminative performance with AUC value of 0.977 with 92.3% sensitivity and 100.0% specificity. In conclusion, the diagnostic usefulness of independent glutaminase, 8-isoprostane, and prostaglandin E₂ (PGE₂) biomarkers may be enhanced by combining ROC. Combined markers show strong apparent discriminating power in a case-control method, but estimates are biassed towards optimism and are not diagnostic. Comprehensive assay validation, calibration, and clinically representative cohorts (including females and relevant differentials) are required for replication.

Indexed as

Autism Spectrum DisorderDinoprostGlutaminaseBiomarkersCase-Control StudiesChildChild, PreschoolFemalegamma-Aminobutyric AcidGlutamic AcidHumansMaleROC Curve8-epi-prostaglandin F2alphaBiomarkersDinoprostgamma-Aminobutyric AcidGlutamic AcidGlutaminase8-isoprostaneAustism spectrum disorderGlutaminaseProstaglandin E2Receiving operating characteristic

Identifiers

PMID42343199
PMCPMC13292444

What Socratic 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 Socratic graph.