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Afaf El-Ansary

Researcher at King Saud University

Publications -  162
Citations -  3362

Afaf El-Ansary is an academic researcher from King Saud University. The author has contributed to research in topics: Autism & Medicine. The author has an hindex of 28, co-authored 122 publications receiving 2572 citations. Previous affiliations of Afaf El-Ansary include King Khalid University.

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Metabolic biomarkers related to oxidative stress and antioxidant status in Saudi autistic children.

TL;DR: Saudi autistic children are under H( 2)O(2) stress due to GSH depletion, over expression of SOD together with the unchanged catalase enzyme, which could be helpful in the early diagnosis of young autistic patients and suggesting the possibility of antioxidant supplementation for the early intervention with autistic children.
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Etiology of autistic features: the persisting neurotoxic effects of propionic acid.

TL;DR: The neurotoxicity of PA as an environmental factor could play a central role in the etiology of autistic biochemical features by comparing the results obtained with those from animal models of autism or with clinical data on the biochemical profile of autistic patients.
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On the Toxicity of Therapeutically Used Nanoparticles: An Overview

TL;DR: The objective of this review was to trace the cellular response to nanosized particle exposure and highlight the need for caution during the use and disposal of such manufactured nanomaterials to prevent unintended environmental impacts.
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GABAergic/glutamatergic imbalance relative to excessive neuroinflammation in autism spectrum disorders

TL;DR: This study indicates that autism is a developmental synaptic disorder showing imbalance in GABAergic and glutamatergic synapses as a consequence of neuroinflammation.
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Neuroinflammation in autism spectrum disorders.

TL;DR: Alteration of the selected parameters confirm the role of neuroinflammation and apoptosis mechanisms in the etiology of autism together with the possibility of the use of HSP70, TGF-β2, Caspase 7 and INF-γ as predictive biomarkers that could be used to predict safety, efficacy of a specific suggested therapy or natural supplements.