The Pathophysiological Rationale for Personalized Metabolic Therapy of ASD. Promising Treatments

Abstract

A metabolic disorder is a serious problem. Changes that occur at the cellular level and are associated with biochemical processes lead to malfunctioning of the cell, and further, respectively, of tissue, organ, of the whole organism. Metabolic care is the basis of metabolic therapy. For almost every metabolic regimen of autism spectrum disorder, there is a counter-argument. For this reason, a unified approach to therapy is impossible, since, apart from the "autistic triad", each person has his own peculiarities. At the present stage, in addition to a gluten-free and casein-free diet, vitamins of groups B and D, polyunsaturated fatty acids, various methods of microbiome correction are used in therapy, but there is no serious evidence base for the effectiveness of therapy for autism spectrum disorders. The article proposes options for the study of metabolic changes in the body, which are the rationale for the development of a scheme of metabolic therapy in the framework of a personalized medical approach to the treatment of autism spectrum disorders.

Gastrointestinal Tract Symptomatology in Adults with Pica and Autism

“…The critical "gut-behavior axis" involves neural, hormonal, immune, and metabolic pathways [3; 42]. A personalized metabolic therapy approach to intestinal microbiota may have import [36]. Also, we suggest a behavior-analytic framework for considering the development of pica within a multidimensional chain of events with feedback loops.…”

Does pica potentiate autism?: developing a research agenda

“…The prospect of better understanding the pathophysiological processes driving GI disturbances may be facilitated by distinguishing specific subtypes of ASD, which might impact treatment. 6,11 Our study suggested that individuals with both autism and pica disorders may be a phenotypic subgroup on the autism spectrum characterized by GI symptomatology, requiring a clinical algorithm for categorization and effective treatment. Pica may largely explain a link between autism and GI problems.…”

Detection of ASD Children through Deep-Learning Application of fMRI

“…To further substantiate the utility of fMRI in ASD diagnostics, it is worth noting that fMRI studies have revealed distinct neural connectivity patterns in children with and without ASD [9]. Specifically, increased local connectivity and decreased long-range connectivity have been observed in ASD subjects [10]. These findings have guided the selection of fMRI variables that were integrated into our deep-learning algorithm.…”