Machine learning and causal inference applied to the gut metagenome-metabolome axis reveals a link between neonatal jaundice and autism spectrum disorder.

Journal: mSystems
Published Date:

Abstract

UNLABELLED: Neonatal jaundice (NJ) might increase the risk of autism spectrum disorder (ASD) in children. This study examined whether alterations in the gut microbiota could explain the link between NJ and ASD. We analyzed three cohorts: NJ cohort 1 comprised 68 neonates with NJ and 68 healthy controls (HCs); NJ cohort 2 included 56 infants with NJ and 14 HCs; and the ASD cohort consisted of 43 children with ASD and 31 typically developing children. Fecal samples were collected aseptically. We performed 16S rRNA sequencing (NJ cohort 1), liquid chromatography with tandem mass spectrometry metabolomics (NJ cohort 1 and ASD cohort), and shotgun metagenomics (NJ cohort 2 and ASD cohort). We characterized the gut DNA virome, quantified bile acid metabolism genes, and integrated multi-omics data using causal mediation and machine learning causal inference. Both NJ and ASD were associated with increased diversity of bile acid metabolism genes, suggesting biomarker potential. The gut DNA virome was also identified as a potential biomarker. Causal mediation analysis showed that the gut DNA virome influences bile acid metabolism genes in both conditions. Using machine learning-based causal modeling, we further found that gut human betaherpesviruses and human mastadenoviruses contribute to NJ and ASD, respectively, mediated by gut bile acid-metabolizing bacteria. These findings suggest that perturbations in the virome and bile acid-metabolizing bacteria may explain the link between NJ and ASD. Our results indicate that NJ and ASD are associated with bile acid metabolism alterations, which are also influenced by the gut DNA virome. Dysbiosis of the gut DNA virome and bile acid-metabolizing bacteria may mechanistically link NJ and ASD. IMPORTANCE: Human epidemiological studies have established an association between perinatal pathogenic infections and autism spectrum disorder (ASD), and the gut microbiota plays an extremely important role in this relationship. Neonatal jaundice (NJ) may increase the risk of ASD in children. However, it remains unclear whether alterations in the gut microbiota affect the association between NJ and ASD. Both NJ and ASD are linked to altered gut bile acid metabolism and significantly elevated gene diversity among bile acid metabolism enzymes, and these relationships are influenced by the gut virome. Gut human betaherpesviruses and human mastadenoviruses influence the development of NJ and ASD, respectively, by influencing the abundance of gut bile acid-metabolizing microbes. Alterations of the gut virome and bile acid-metabolizing bacteria appear to explain the link between NJ and ASD. There is a lack of effective treatment options for ASD. We found that both NJ and ASD are linked to altered bile acid metabolism. Gaining a comprehensive understanding of the role of the bile acid-gut microbiota axis in the pathogenesis of NJ and ASD, as well as regulating this axis, may be crucial for developing novel preventive and therapeutic strategies for ASD.

Authors

  • Xianhong Chen
    Shenzhen Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.
  • Cheng Chen
    Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, University of Science and Technology of China, China.
  • Xiucai Lan
    Department of Geriatrics, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xueli Zhang
    Center for Systems Biology, Soochow University, Suzhou 215006, Jiangsu, China.
  • Tingting Li
    Key Laboratory of Biotechnology and Bioresources Utilization (Dalian Minzu University), Ministry of Education, Dalian, China.
  • Peng Zhang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Guoqiang Cheng
    Division of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
  • Wei Zhou
    Department of Eye Function Laboratory, Eye Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
  • Zhangxing Wang
    Division of Neonatology, Shenzhen Longhua People's Hospital, Shenzhen, China.
  • Yingmei Xie
    Department of Neonatology, Affiliated Shenzhen Women and Children's Hospital (Longgang) of Shantou University Medical College (Longgang District Maternity and Child Healthcare Hospital of Shenzhen City), Shenzhen, Guangdong, China.
  • Shujuan Zeng
    Division of Neonatology, Longgang Central Hospital of Shenzhen, Shenzhen, China.
  • Wenhao Zhou
    The Molecular Genetic Diagnosis Center, Shanghai Key Lab of Birth Defect, Translational Medicine Research Center of Children Development and Diseases, Pediatrics Research Institute, Shanghai, China.
  • Mingbang Wang
    Department of Neonatology, Longgang Maternity and Child Institute of Shantou University Medical College (Longgang District Maternity & Child Healthcare Hospital of Shenzhen City), Shenzhen, China.

Keywords

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