scholarly journals Quantitation of plasma thiamine, related metabolites and plasma protein oxidative damage markers in children with autism spectrum disorder and healthy controls

2016 ◽  
Vol 50 (sup1) ◽  
pp. S85-S90 ◽  
Author(s):  
Attia Anwar ◽  
Marina Marini ◽  
Provvidenza Maria Abruzzo ◽  
Alessandra Bolotta ◽  
Alessandro Ghezzo ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Oxidative Damage ◽  
Plasma Protein ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Healthy Controls

scholarly journals The possible link between Fetuin-A Protein and Neuro-inflammation in Children with Autism Spectrum Disorder

2021 ◽  
Vol 37 (4) ◽  
Author(s):  
Laila Yousif Al-Ayadhi ◽  
Farah Ali Alghamdi ◽  
Lamees Abdula Altamimi ◽  
Luluh Yousef Alsughayer ◽  
Abdulrahman Mohammad Alhowikan ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Sensory Profile ◽  
Enzyme Linked Immunosorbent Assay ◽  
Healthy Controls ◽  
Autistic Children ◽  
Fetuin A ◽  
Neuro Inflammation

Objectives: To investigate the blood plasma levels of Fetuin-A protein in children with Autism Spectrum Disorder (ASD) and healthy controls that could offer novel diagnostic biomarkers of disease development in ASD. Another objective was to investigate the severity of autistic children by Childhood Autism Rating Scale (CARS) and Short Sensory Profile (SSP). Methods: This case control study was carried out at Autism Research and Treatment (ART) Center, King Saud University, Riyadh, Saudi Arabia, from October 2019 to February 2020. Plasma concentration of Fetuin-A was analyzed by enzyme-linked immunosorbent assay (ELISA) in ASD subjects (n=46) and normal controls (n=44). Correlation among Fetuin-A levels, CARS and SSP was established by Spearman’s correlation coefficient (r). Results: Overall, autistic children had significantly (p= 0.0.02) lower Fetuin-A concentration [50.76 (22.2-68.5) ng/ml] than those of healthy controls [53.7 (35.6-99.7) ng/ml] [median (interquartile range)]. Children with mild to moderate autism (n=24, 52%) also showed significantly lower Fetuin-A levels [50.0 (30.0-68.2) ng/ml], (p =0.02} than healthy controls [53.7 (35.6-99.7) ng/ml] [median (IQR)]. However, there was no significant change (p = 0.71) observed between the Fetuin-A levels of children with severe autism [51.8 (22.2-68.5)] ng/ml, mild to moderate autism [50 (30-68.2)] ng/ml [median (IQR)] and healthy controls (p=0.12). Also no significant correlations between Fetuin-A, CARS and SSP were observed (CARS, r= 0.024, p=0.88; SSP, r= -0.003, p=0.98). Conclusion: Overall the low Fetuin-A plasma values in ASD subjects, most likely show that Fetuin-A could be associated in the physiology of autism. Further studies with larger patient and control cohorts will be necessary to determine whether Fetuin-A can be used as a biomarker for ASD. doi: https://doi.org/10.12669/pjms.37.4.4032 How to cite this:Al-Ayadhi LY, Alghamdi FA, Altamimi LA, Alsughayer LY, Alhowikan AM, Halepoto DM. The possible link between Fetuin-A Protein and Neuro-inflammation in Children with Autism Spectrum Disorder. Pak J Med Sci. 2021;37(4):---------.  doi: https://doi.org/10.12669/pjms.37.4.4032 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Anthropometric Analysis of the Orbital Region in Children With Autism Spectrum Disorder and Healthy Controls

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Zehra Topal ◽  
Ilhan Bahşi ◽  
Mehmet Karadag ◽  
Ayse Sevde Sarp ◽  
Canan Akkaya ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Healthy Controls ◽  
Orbital Region

scholarly journals Gender influence on antioxidant capacity and oxidative damage in saliva of children with autism spectrum disorder: a preliminary study

2021 ◽  
Vol 50 ◽  
Author(s):  
Matheus Morcela De SOUZA ◽  
João Victor Soares RODRIGUES ◽  
Maria Eduarda CABRERIZO GONÇALVES ◽  
Ana Carolina Polanowski ROSSATO ◽  
Maria Cristina Ruiz VOMS STEIN ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Oxidative Damage ◽  
Antioxidant Capacity ◽  
Total Antioxidant Capacity ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Gender Influence ◽  
Total Antioxidant ◽  
Preliminary Study

Abstract Introduction Autism is a complex neurological disorder with multifactorial causes, which compromises physical, psychological, emotional and social skills. This disorder also impairs dental care and patient oral health. Saliva can be easily obtained using a non-invasive technique and has been used in the diagnosis and screening of many pathologies. Total antioxidant capacity of saliva is reduced in the presence of caries in children and has been studied as a possible marker for autism. However, data on salivary antioxidants in children with autism spectrum disorder (ASD) is scarce. Objective This preliminary study evaluated the existence of gender influence on non-enzymatic antioxidant capacity and protein oxidative damage in the saliva of children with this disorder. Our hypothesis is that there are gender differences in these biochemical parameters in children with austim. Material and method Whole saliva samples were collected by aspiration between 8:00-11:00 am from 12 girls and 12 boys aged 5 to 15 years, with previous diagnosis for this disorder. Total antioxidant capacity, uric acid, protein concentration and oxidative damage to proteins were analyzed by spectrophotometry. Values were presented as mean ± standard deviation and tested for adherence to normality (Shapiro-Wilk test). The data were then compared using the Mann-Whitney test, considering a 5% significance level. Result There was no significant difference between groups for all analyzed parameters (P>0.05). Conclusion Based on the results obtained, we concluded that gender does not influence the levels of oxidative stress markers in the saliva of children with ASD.

Instruction Using Augmentative and Alternative Communication Supports: Description of Current Practices by Speech-Language Pathologists Who Work With Children With Autism Spectrum Disorder

2020 ◽  
Vol 29 (2) ◽  
pp. 586-596 ◽  
Author(s):  
Kaitlyn A. Clarke ◽  
Diane L. Williams
Keyword(s):  
Autism Spectrum Disorder ◽  
Augmentative And Alternative Communication ◽  
Communication Systems ◽  
Diagnostic Category ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Alternative Communication ◽  
Speech Language Pathologists ◽  
Processing Differences

Purpose The aim of this research study was to examine common practices of speech-language pathologists (SLPs) who work with children with autism spectrum disorder (ASD) with respect to whether or not SLPs consider processing differences in ASD or the effects of input during their instruction. Method Following a qualitative research method, how SLPs instruct and present augmentative and alternative communication systems to individuals with ASD, their rationale for method selection, and their perception of the efficacy of selected interventions were probed. Semistructured interviews were conducted as part of an in-depth case report with content analysis. Results Based on completed interviews, 4 primary themes were identified: (a) instructional method , (b) input provided , (c) decision-making process , and (d) perceived efficacy of treatment . Additionally, one secondary theme, training and education received , was identified . Conclusions Clinicians reported making decisions based on the needs of the child; however, they also reported making decisions based on the diagnostic category that characterized the child (i.e., ASD). The use of modeling when teaching augmentative and alternative communication to individuals with ASD emerged as a theme, but variations in the method of modeling were noted. SLPs did not report regularly considering processing differences in ASD, nor did they consider the effects of input during instruction.

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