Published April 2019 | Version v1
Journal article

Disturbance of trace element and gut microbiota profiles as indicators of autism spectrum disorder: A pilot study of Chinese children

  • 1. International Joint Research Laboratory for Probiotics at Jiangnan University, Wuxi, Jiangsu 214122 (China)
  • 2. School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122 (China)
  • 3. State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu (China)
  • 4. Institute of Food Biotechnology, Jiangnan University, Yangzhou 225004 (China)
  • 5. National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, Jiangsu 214122 (China)
  • 6. Beijing Innovation Centre of Food Nutrition and Human Health, Beijing Technology and Business University (BTBU), Beijing 100048 (China)

Description

Autism spectrum disorder (ASD) is a neuro-developmental disorder that is characterized by impairments of reciprocal social interaction and restricted stereotyped repetitive behavior. The goal of the present study was to investigate the trace element and gut microbiota profiles of Chinese autistic children and screen out potential metallic or microbial indicators of the disease. One hundred and thirty-six children (78 with ASD and 58 healthy controls) aged from 3 to 7 years were enrolled. The levels of lead, cadmium, arsenic, copper, zinc, iron, mercury, calcium and magnesium in hair samples from the children were analyzed. Fecal samples were also collected and the children's gut microbiota profiles were characterized by 16s rRNA sequencing. Concentrations of lead, arsenic, copper, zinc, mercury, calcium and magnesium were significantly higher in the ASD group than in the control group. Linear discriminant analysis effect size analysis indicated that the relative abundance of nine genera was increased in the autistic children. Redundancy analysis showed that arsenic and mercury were significantly associated with Parabacteroides and Oscillospira in the gut. A random forest model was trained with high accuracy (84.00%) and the metallic and microbial biomarkers of ASD were established. Our results indicate significant alterations in the trace element and gut microbiota profiles of Chinese children with ASD and reveal the potential pathogenesis of this disease in terms of metal metabolism and gut microecology.

Additional details

Identifiers

DOI
10.1016/j.envres.2019.01.060;
PII
S0013935119300350;

Publishing Information

Journal Title
Environmental Research
Journal Volume
171
Journal Page Range
p. 501-509
ISSN
0013-9351
CODEN
ENVRAL

Optional Information

Copyright
Copyright (c) 2019 Elsevier Inc. All rights reserved.