Evidence map›Paper›PMID 31147808›Full record

ArticleMetabolic brain disease2019

Determination of neuroinflammatory biomarkers in autistic and neurotypical Saudi children.

Najat O Hamed, Laila-Al-Ayadhi, Mohamed A Osman, Abdalla O Elkhawad, Geir Bjørklund, Hanan Qasem, Naima Zayed, Afaf El-Ansary

Abstract read
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In one paragraph

Article in Metabolic brain disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.2field-weighted citation impact, top 48% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Rodent Models for ASD Biomarker Development.Advances in neurobiology · 2024
    Review
  6. Article
  7. 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

8 authors at 5 institutions in 5 countries.

Najat O HamedUniversity of Medical Sciences and Technology, Khartoum, Sudan.
Laila-Al-AyadhiDepartment of Physiology, Faculty of Medicine, King Saud University, Riyadh, Saudi Arabia.
Mohamed A OsmanKirkwood College, Cedar Rapids, IA, USA.
Abdalla O ElkhawadUniversity of Medical Sciences and Technology, Khartoum, Sudan.
Geir BjørklundCouncil for Nutritional and Environmental Medicine, Toften 24, 8610, Mo i Rana, Norway. bjorklund@conem.org.ORCID 0000-0003-2632-3935
Hanan QasemAutism Research and Treatment Center, Riyadh, Saudi Arabia.
Naima ZayedTherapeutic Chemistry Department, National Research Centre, Dokki, Cairo, Egypt.
Afaf El-AnsaryAutism Research and Treatment Center, Riyadh, Saudi Arabia.
King Saud University · SAUniversity of Medical Sciences and Technology · SDKirkwood Community College · USNational Research Centre · EGThe Research Council of Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify neuroinflammatory biomarkers in patients with various severity of autism spectrum disorder (ASD) increases the insight about the pathogenesis and pathophysiology of this neurodevelopmental disorder. The aim of the present study was to analyze the levels in plasma of TGFβ2, Heat shock protein 70 (HSP70), and hematopoietic prostaglandin D2 synthase (H-PGDS) in Saudi ASD children and healthy age-matched neurotypical controls. Also, it was in the present study examined the correlation among these neuroinflammatory biomarkers and the sensory deficit exhibited by the ASD children. Blood samples from 38 Saudi children with ASD and 32 age-matched neurotypical controls were withdrawn after an overnight fast. For the blood taking 3 mL EDTA containing blood collection tubes was used. The samples were centrifuged for 20 min (4 °C; 3000×g) directly after the blood sampling. The harvested plasma was used for in vitro quantification of TGF-β2, HSP70, and H-PGDS by using the sandwich enzyme immunoassay. Receiver operating characteristic (ROC) analysis and predictiveness curves showed that each of TGF-β2, HSP70 or H-PGDS alone could not be used as a predictive neuroinflammatory biomarker for ASD. However, when TGF-β2 and HSP70 were combined in one ROC curve, the AUC was increased to an appreciable value that makes them together robust predictors of variation between the ASD and neurotypical control groups. Overall, it was in the present study found significant differences for TGF-β2 and HSP70 when the ASD and neurotypical control groups were compared, independently of the sensory deficit level. In conclusion, the present study highlights the usefulness of TGF-β2, HSP70, and H-PGDS as diagnostic tools to differentiate between ASD and neurotypical control children, but not among subgroups of ASD children exhibiting different severity levels of sensory dysfunction. The presented data also suggest the effectiveness of ROC as a powerful statistical tool, which precisely can measure a combined effect of neuroinflammatory biomarkers intended for diagnostic purposes.

Indexed as

AdolescentAutism Spectrum DisorderBiomarkersCase-Control StudiesChildChild, PreschoolHSP70 Heat-Shock ProteinsHumansInflammationIntramolecular OxidoreductasesLipocalinsMaleSaudi ArabiaTransforming Growth Factor beta2BiomarkersHSP70 Heat-Shock ProteinsIntramolecular OxidoreductasesLipocalinsprostaglandin R2 D-isomeraseTransforming Growth Factor beta2AutismHeat shock protein 70Hematopoietic prostaglandin D2 synthaseNeuroinflammationOxidative stressTransforming growth factor-β

Identifiers

PMID31147808
OpenAlexW2948015969

What OpenQuestion holds

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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.