Systematic review investigating the relationship between autism spectrum disorder and metabolic dysfunction

Chieh, Angela; Bryant, Bianca M.; Kim, Jung Won; Li, Li

doi:10.1016/j.rasd.2021.101821

Cited by 4 publications

(2 citation statements)

References 41 publications

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“…Triacylglycerols (TGs) and wax esters (WEs) are two biologically significant lipid classes that are notably linked to various disease states, including diseases that affect children and the elderly. Characteristic changes in triacylglycerols have been associated with autism, − neurodegenerative disease, − cardiovascular disease, − diabetes, , and other metabolic abnormalities . Fluctuations in wax esters have been correlated with dry eye disease (DED), − and DED has been shown to be more prevalent in Parkinson’s patients compared to controls .…”

Section: Introductionmentioning

confidence: 99%

Enabling Lipidomic Biomarker Studies for Protected Populations by Combining Noninvasive Fingerprint Sampling with MS Analysis and Machine Learning

Isom,

Go,

Desaire

2024

J. Proteome Res.

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Triacylglycerols and wax esters are two lipid classes that have been linked to diseases, including autism, Alzheimer's disease, dementia, cardiovascular disease, dry eye disease, and diabetes, and thus are molecules worthy of biomarker exploration studies. Since triacylglycerols and wax esters make up the majority of skin-surface lipid secretions, a viable sampling method for these potential biomarkers would be that of groomed latent fingerprints. Currently, however, blood-based sampling protocols predominate in the field. The invasiveness of a blood draw limits its utility to protected populations, including children and the elderly. Herein we describe a noninvasive means for sample collection (from fingerprints) paired with fast MS data-acquisition (MassIVE data set MSV000092742) and efficient data analysis via machine learning. Using both supervised and unsupervised classification, we demonstrate the usefulness of this method in determining whether a variable of interest imparts measurable change within the lipidomic data set. As a proof-of-concept, we show that the method is capable of distinguishing between the fingerprints of different individuals as well as between anatomical sebum collection regions. This noninvasive, high-throughput approach enables future lipidomic biomarker researchers to more easily include underrepresented, protected populations, such as children and the elderly, thus moving the field closer to definitive disease diagnoses that apply to all.

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Section: Introductionmentioning

confidence: 99%

Enabling Lipidomic Biomarker Studies for Protected Populations by Combining Noninvasive Fingerprint Sampling with MS Analysis and Machine Learning

Isom,

Go,

Desaire

2024

J. Proteome Res.

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“…Autism spectrum disorder (ASD), is a neuro-developmental disorder characterized by social communication impairment and may lead to poor quality of life due to several reasons including inactivity and a sedentary lifestyle due to social challenges [1]. Low physical activity levels in individuals with ASD, may affect health status and cause several health complications including metabolic syndrome, diabetes type 2, insulin resistance, hormonal impairment, and cardiovascular diseases [2]. It has been suggested that increasing physical activity level in individuals with ASD, may improve their health status and can be considered a practical strategy for ASD management.…”

Section: Introductionmentioning

confidence: 99%

Effect of Regular Swimming Training and Healthy Dietary Pattern on Endocrine-Related Indicators in Autism Spectrum Disorder – A New Insight

Moiniafshari¹,

Kalantari²,

Nezhad³

2022

Series Endo Diab Met

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Background: Autism spectrum disorder (ASD), is a neuro-developmental disorder that is mainly characterized by social interaction impairments. Health-related challenges including weight abnormalities and hormonal impairment seem to have a higher prevalence in ASD individuals. The purpose of this study was to assess the effect of aquatic training and diet modification according to recommended guidelines on endocrine-related indicators including growth parameters and IGF-1 in teenage and young individuals with ASD. Methods: 5 individuals diagnosed with ASD (age = 14.86 ± 1.22) participated in regular aquatic sessions for 12 weeks, 2 sessions per week which lasted 60 min in each session. Body weight, stature, body mass index (BMI), and IGF-1 were measured before and after the study. Caregivers and healthcare centers to which the participants were referred for their therapeutic purposes, were given booklets and brochures regarding nutritional recommendations published by health authorities. Results: All of the participants were overweight (BMI = 27.98 ± 1.44). There was a significant improvement in body weight, BMI, and IGF-1 levels after the study (p ≤0.05). Although, there was no significant improvement in dietary pattern (p = 0.3) despite reported improvements recorded by families regarding food variety and consumed food groups. Conclusion: Aquatic training and diet modification can improve growth and health-related indicators in individuals with ASD.

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In silico analysis of autism spectrum disorder through the integration of DNA methylation and gene expression data for biomarker search

Sevimoglu

2023

Minerva Biotechnol Biomol Res

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Systematic review investigating the relationship between autism spectrum disorder and metabolic dysfunction

Cited by 4 publications

References 41 publications

Enabling Lipidomic Biomarker Studies for Protected Populations by Combining Noninvasive Fingerprint Sampling with MS Analysis and Machine Learning

Enabling Lipidomic Biomarker Studies for Protected Populations by Combining Noninvasive Fingerprint Sampling with MS Analysis and Machine Learning

Effect of Regular Swimming Training and Healthy Dietary Pattern on Endocrine-Related Indicators in Autism Spectrum Disorder – A New Insight

In silico analysis of autism spectrum disorder through the integration of DNA methylation and gene expression data for biomarker search

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