Oral flora microorganisms for children autism assessment

Abstract

The invention provides an oral flora microorganism for evaluating autism of children, which is characterized in that oral swabs are adopted to respectively sample oral flora of children with autism and healthy children, genomic DNA is extracted, and high-throughput sequencing is performed through an Illumina Hiseq platform; the obtained data is analyzed through QIIME software, a molecular marker of bacteria is found through LEfSe analysis, and the molecular marker is applied to molecular diagnosis of autism; the data after noise reduction optimization is compared with oral flora data of healthy children; the obtained Chryseobacterium, comamonas, veillonella, sphingobacterium, Leptotrichia, Massilia, stenotrophomonas, propionibacterium, fusobacterium, Herbaspirillum, bacteroides, Lautropia,auxotrophic bacteria, Gemmatimonas and Sinorhizobium fredii have relatively high specificity and sensitivity; the microorganisms can be used as characteristic bacterial genus to evaluate children autism.

Description

Technical field [0001] This application relates to the field of biomedical technology, and in particular to an oral flora microorganism used for the assessment of childhood autism. Background technique [0002] In recent years, autism, also known as autism, is a representative disease of pervasive developmental disorders. Its main manifestations are: social communication barriers, communication barriers, or narrow interests; early diagnosis of autism is useful for children with autism Rehabilitation is very important, and early detection and treatment play a very important role in the rehabilitation of children. [0003] At present, the diagnosis of autism can only rely on the clinical experience of clinicians, the ABC scale, the Cars scale and other questionnaires for the assessment and diagnosis of autism. However, this method lacks clinical objective indicators, cannot make accurate diagnosis, and is easy to misdiagnose. Missed diagnosis. [0004] In order to evaluate autism bas...

AI Technical Summary

Problems solved by technology

[0003] At present, the diagnosis of autism can only rely on the clinician's clinical experience, ABC scale, Cars scale and other questionnaires to evaluate and diagnose autism. However, this method lacks clinical objective indicators, cannot make accurate diagnosis, and is prone to misdiagnosis. missed diagnosis

[0004] In order to rely on clinical objective indicators to evaluate autism, the molecular markers of intestinal flora have become one of the laboratory methods for the evaluation and diagnosis of autism. more difficult

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