Integrating Artificial Intelligence and Advanced Genomic Technologies in Unraveling Autism Spectrum Disorder and Gastrointestinal Comorbidities: A Multidisciplinary Approach to Precision Medicine

Jordan Journal of Pharmaceutical Sciences, Journal Year: 2024, Volume and Issue: 17(3), P. 567 - 581

Published: Sept. 24, 2024

This article explores the potential impact of Artificial Intelligence (AI), Machine Learning (ML), CRISPR-Cas9 gene editing, and single-cell RNA sequencing on improving our understanding management Autism Spectrum Disorder (ASD) its gastrointestinal (GI) comorbidities. It examines how these technologies illuminate complex interplay between gut brain, identifying specific enzyme deficiencies microbial imbalances linked to GI symptoms in ASD. By leveraging AI ML, personalized intervention strategies are developed through analysis genomic, proteomic, environmental data, enhancing ability predict address issues Additionally, editing holds promise for correcting genetic abnormalities related production, potentially offering precise treatments. Single-cell provides critical insights into cellular diversity ASD gut, uncovering new therapeutic targets. The highlights transformative while addressing associated challenges ethical considerations. underscores necessity a multidisciplinary approach fully harness their benefits discusses significant progress emerging trends field, emphasizing role technological advancements advancing precision medicine

Language: Английский

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Salivary Transcriptome and Mitochondrial Analysis of ASD Children Compared to Healthy Controls

Published: May 13, 2024

Autism has been described as a gastrointestinal and neurological condition that is represented by impairments in language social situations. Recently reported increases the occurrence of Spectrum Disorder (ASD) have resulted increased research into environmental differences between areas with high occurrence, “Western” diet populations, more locally derived population, wherein rate appears to be significantly less. Thirty autistic children (USA) ages 6 21, were sampled at three different intervals: prior any intervention, post-xylitol post-probiotic intervention. The sampling consisted buccal swabs for MITOSWAB testing, saliva metatranscriptomics determine entire range microorganisms metabolome. In addition, “Blue Zone” subject component included 30 Colombian children, 6-16, who healthy within normal behavior standards, also had swabbing salivary performed comparison along (no history medications, illnesses, or issues) USA matched age gender. Saliva samples analyzed metatranscriptomically artificial intelligence was utilized discern important microbiome bacteria, archaea, fungi, viruses, microbial functions. Significant noted, seen temporal data, demonstrating shifts may precipitated interventions, both probiotics polyols. Particular bacterial strains prevalent autism group including strain reduces neurotransmitters enzymatic degradation. This provided supporting evidence hypothesis influenced low Gamma Amino Butyric Acid (GABA) levels during development. Also, interest un-expected finding verbal skills dramatically ASD subjects following xylitol supplementation.

Language: Английский

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Salivary Transcriptome and Mitochondrial Analysis of Autism Spectrum Disorder Children Compared to Healthy Controls

NeuroSci, Journal Year: 2024, Volume and Issue: 5(3), P. 276 - 290

Published: Aug. 6, 2024

Autism rates have been reported to be increasing rapidly in industrialized societies. The pathology most often combines neurological symptoms associated with language and social impairments gastrointestinal symptoms. This study aimed measure differences oral metatranscriptome mitochondrial health between ASD children neurotypical USA Colombia ("Blue Zone") children. In addition, this determine whether using prebiotics probiotics would change the microbiome of Buccal swabs saliva samples were obtained from 30 autistic individuals (USA) at three intervals: prior intervention, post-prebiotic, post-probiotic. a subject component who neurotypical, which included (30) (30), had buccal swabbing salivary sampling performed for metatranscriptomic comparison. Significant observed temporal data, demonstrating shifts that interventions polyols may precipitated. Particular bacterial strains significantly more prevalent autism group, including strain reduced neurotransmitter levels via enzymatic degradation. supports hypothesis influence occurrence degree autism. Verbal skills increased six subjects following xylitol after probiotic supplementation, according both parental reports subjects' healthcare providers.

Language: Английский

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Dietary Supplements and the Gut–Brain Axis: A Focus on Lemon, Glycerin, and Their Combinations

Dietetics, Journal Year: 2024, Volume and Issue: 3(4), P. 463 - 482

Published: Nov. 1, 2024

Dietary supplements are products taken orally, and they contain an ingredient intended to augment the diet. Many studies demonstrate clear alterations in microbe abundances production of microbiota-derived metabolites, such as short-chain fatty acids, following dietary changes. This review comprehensively explores possible interactions among gut microbiota, lemon extracts, glycerin, their mixture products. Lemon extracts/components associated with a vast array health benefits, including anti-inflammation, antioxidant, anti-atherosclerotic, anti-diabetic effects. They also increased memory decreased depression. Glycerin can reduce serum free acids mimic caloric restriction; its metabolites function broad-spectrum antimicrobial. Additionally, glycerin has dehydrating effect on central nervous system focal cerebral edema improve performance by expanding plasma volume. However, it may have side effects, hyperglycemia. Therefore, combined consumption extracts may, part, mitigate each other’s effects while exerting benefits. There is growing evidence that both components metabolized microbiota modulate intestinal microbiome composition. explored important mechanism gut–brain axis regulating various these application noncommunicable neurological disorders.

Language: Английский

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