scholarly journals Stem Cell Therapies for Cerebral Palsy and Autism Spectrum Disorder—A Systematic Review

2021 ◽  
Vol 11 (12) ◽  
pp. 1606
Author(s):  
Justyna Paprocka ◽  
Konrad Kaminiów ◽  
Sylwia Kozak ◽  
Karolina Sztuba ◽  
Ewa Emich-Widera
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Cerebral Palsy ◽  
Stem Cell ◽  
Cell Therapy ◽  
Stem Cell Therapy ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Cell Therapies ◽  
Motor Disability

Autism spectrum disorder (ASD) and cerebral palsy (CP) are some of the most common neurodevelopmental diseases. They have multifactorial origin, which means that each case may manifest differently from the others. In patients with ASD, symptoms associated with deficits in social communication and characteristic, repetitive types of behaviors or interests are predominant, while in patients with CP, motor disability is diagnosed with accompanying cognitive impairment of various degrees. In order to minimize their adverse effects, it is necessary to promptly diagnose and incorporate appropriate management, which can significantly improve patient quality of life. One of the therapeutic possibilities is stem cell therapy, already known from other branches of medicine, with high hopes for safe and effective treatment of these diseases. Undoubtedly, in the future we will have to face the challenges that will arise due to the still existing gaps in knowledge and the heterogeneity of this group of patients. The purpose of this systematic review is to summarize briefly the latest achievements and advances in stem cell therapy for ASD and CP.

Stem Cell Therapy in the Treatment of Patients With Autism Spectrum Disorder: a Systematic Review and Meta-analysis

2021 ◽  
Author(s):  
Laura Villarreal-Martínez ◽  
Gerardo González-Martínez ◽  
Melissa Sáenz-Flores ◽  
Andrea Judith Bautista-Gómez ◽  
Adrián González-Martínez ◽  
...  
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Stem Cell ◽  
Cell Therapy ◽  
Stem Cell Therapy ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Spectrum Disorder

The Effect of Stem Cell Therapy in Autism Spectrum Disorder

2020 ◽  
Author(s):  
Vincent S. Gallicchio
Keyword(s):  
Autism Spectrum Disorder ◽  
Stem Cells ◽  
Immune Response ◽  
Stem Cell ◽  
Cell Therapy ◽  
Autism Spectrum ◽  
Cell Therapies ◽  
Neuro Inflammation ◽  
Inflammatory Molecules ◽  
The Brain

Autism Spectrum Disorder [ASD] is a neuro developmental disorder that is characterized by abnormal social interaction/communication and restricted, repetitive patterns of behavior, interests, or activities. Although there is a lack of knowledge surrounding the ASD’s etiology, one common hypothesis posits that the causative pathology is immune system deregulation [ISD]. Patients with ASD experience ISD in the form of overactive microglia and astroglia in the brain, overactive cytokines in the brain and blood plasma, and underactive T lymphocytes in the blood plasma. Mesenchymal stem cells [MSCs] and mononuclear cells, which contain a mixture of MSCs and hematopoietic stem cells [HSCs], are promising candidates for treatment of ASD. MSCs secrete several molecules that may restore injured tissue and anti-inflammatory molecules that may mediate neuro inflammation. MSCs also exhibit immuno modulatory effects which may regulate the immune response observed in ASD.HSCs secrete various cytokines, chemokines, and growth factors that may further regulate the abnormal immune response observed in ASD. In addition, HSC CD34+ down regulates pro-inflammatory molecules and up regulates anti-inflammatory molecules which may mediate neuro inflammation in ASD. Based on the results of several clinical trials, MSC and mononuclear cell therapies are safe and effective. To date, they have not been shown to cause adverse side effects. In addition, there have been several instances of reduced ASD symptoms due to the therapies. Nevertheless, much research is still needed into further investigating the etiology of ASD and the mechanism of stem cell therapies to truly understand the benefits of stem cell therapy for ASD.

Parent Education in Studies With Nonverbal and Minimally Verbal Participants With Autism Spectrum Disorder: A Systematic Review

2020 ◽  
Vol 29 (2) ◽  
pp. 890-902
Author(s):  
Lynn Kern Koegel ◽  
Katherine M. Bryan ◽  
Pumpki Lei Su ◽  
Mohini Vaidya ◽  
Stephen Camarata
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Parent Education ◽  
Autism Spectrum ◽  
Verbal Communication ◽  
Fidelity Of Implementation ◽  
Spectrum Disorder ◽  
Education Programs ◽  
Minimally Verbal ◽  
Parent Education Programs

Purpose The purpose of this systematic review was to identify parent education procedures implemented in intervention studies focused on expressive verbal communication for nonverbal (NV) or minimally verbal (MV) children with autism spectrum disorder (ASD). Parent education has been shown to be an essential component in the habilitation of individuals with ASD. Parents of individuals with ASD who are NV or MV may particularly benefit from parent education in order to provide opportunities for communication and to support their children across the life span. Method ProQuest databases were searched between the years of 1960 and 2018 to identify articles that targeted verbal communication in MV and NV individuals with ASD. A total of 1,231 were evaluated to assess whether parent education was implemented. We found 36 studies that included a parent education component. These were reviewed with regard to (a) the number of participants and participants' ages, (b) the parent education program provided, (c) the format of the parent education, (d) the duration of the parent education, (e) the measurement of parent education, and (f) the parent fidelity of implementation scores. Results The results of this analysis showed that very few studies have included a parent education component, descriptions of the parent education programs are unclear in most studies, and few studies have scored the parents' implementation of the intervention. Conclusions Currently, there is great variability in parent education programs in regard to participant age, hours provided, fidelity of implementation, format of parent education, and type of treatment used. Suggestions are made to provide both a more comprehensive description and consistent measurement of parent education programs.

Herbal Medicine as an Alternative Treatment in Autism Spectrum Disorder: A Systematic Review

2018 ◽  
Vol 19 (5) ◽  
pp. 454-459 ◽  
Author(s):  
Francielly Mourao Gasparotto ◽  
Francislaine Aparecida dos Reis Lívero ◽  
Sara Emilia Lima Tolouei Menegati ◽  
Arquimedes Gasparotto Junior
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Herbal Medicine ◽  
Alternative Treatment ◽  
Autism Spectrum ◽  
Spectrum Disorder

Diagnostic test accuracy for use of machine learning in diagnosis of autism spectrum disorder: A Systematic Review and Meta-Analysis (Preprint)

2019 ◽  
Author(s):  
Sun Jae Moon ◽  
Jin Seub Hwang ◽  
Rajesh Kana ◽  
John Torous ◽  
Jung Won Kim
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Meta Analysis ◽  
Learning Algorithms ◽  
Structural Mri ◽  
Autism Spectrum ◽  
Machine Learning Algorithms ◽  
Spectrum Disorder ◽  
Test Accuracy

BACKGROUND Over the recent years, machine learning algorithms have been more widely and increasingly applied in biomedical fields. In particular, its application has been drawing more attention in the field of psychiatry, for instance, as diagnostic tests/tools for autism spectrum disorder. However, given its complexity and potential clinical implications, there is ongoing need for further research on its accuracy. OBJECTIVE The current study aims to summarize the evidence for the accuracy of use of machine learning algorithms in diagnosing autism spectrum disorder (ASD) through systematic review and meta-analysis. METHODS MEDLINE, Embase, CINAHL Complete (with OpenDissertations), PsyINFO and IEEE Xplore Digital Library databases were searched on November 28th, 2018. Studies, which used a machine learning algorithm partially or fully in classifying ASD from controls and provided accuracy measures, were included in our analysis. Bivariate random effects model was applied to the pooled data in meta-analysis. Subgroup analysis was used to investigate and resolve the source of heterogeneity between studies. True-positive, false-positive, false negative and true-negative values from individual studies were used to calculate the pooled sensitivity and specificity values, draw SROC curves, and obtain area under the curve (AUC) and partial AUC. RESULTS A total of 43 studies were included for the final analysis, of which meta-analysis was performed on 40 studies (53 samples with 12,128 participants). A structural MRI subgroup meta-analysis (12 samples with 1,776 participants) showed the sensitivity at 0.83 (95% CI-0.76 to 0.89), specificity at 0.84 (95% CI -0.74 to 0.91), and AUC/pAUC at 0.90/0.83. An fMRI/deep neural network (DNN) subgroup meta-analysis (five samples with 1,345 participants) showed the sensitivity at 0.69 (95% CI- 0.62 to 0.75), the specificity at 0.66 (95% CI -0.61 to 0.70), and AUC/pAUC at 0.71/0.67. CONCLUSIONS Machine learning algorithms that used structural MRI features in diagnosis of ASD were shown to have accuracy that is similar to currently used diagnostic tools.

scholarly journals Scalp acupuncture for Autism spectrum disorder: a systematic review

2020 ◽  
Vol 440 ◽  
pp. 042094
Author(s):  
Huaimin Yi ◽  
Yajun Han ◽  
Mengxin Li ◽  
Jiong Wang ◽  
Liping Yang
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Autism Spectrum ◽  
Scalp Acupuncture ◽  
Spectrum Disorder

Autism spectrum disorder and air pollution: a systematic review and meta-analysis

2021 ◽  
pp. 116856
Author(s):  
Frédéric Dutheil ◽  
Aurélie Comptour ◽  
Roxane Morlon ◽  
Martial Mermillod ◽  
Bruno Pereira ◽  
...  
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Air Pollution ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Spectrum Disorder
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