Evidence map›Paper›PMID 41511111›Full record

ArticlemSystems2026

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

Xianhong Chen, Cheng Chen, Xiucai Lan, Xueli Zhang, Tingting Li, Peng Zhang, Guoqiang Cheng, Wei Zhou, Zhangxing Wang, Yingmei Xie and 3 more

Abstract read
In one paragraph

Article in mSystems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Xianhong Chen *Shenzhen Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.ORCID 0009-0005-6805-4587
Cheng Chen *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.
Xiucai Lan *Department of Geriatrics, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xueli ZhangDivision of Neonatology, Shenzhen Longhua People's Hospital, Shenzhen, Guangdong, China.
Tingting LiDepartment 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.
Peng ZhangNeonatal Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Guoqiang ChengNeonatal Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Wei ZhouDivision of Neonatology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
Zhangxing WangDivision of Neonatology, Shenzhen Longhua People's Hospital, Shenzhen, Guangdong, China.
Yingmei XieDepartment 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 ZengDivision of Neonatology, Longgang Central Hospital of Shenzhen, Shenzhen, Guangdong, China.ORCID 0000-0003-1095-0184
Wenhao ZhouDivision of Neonatology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.ORCID 0000-0001-8956-7238
Mingbang WangDepartment 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.ORCID 0000-0002-5989-5377

Funding

National Natural Science Foundation of China 82571963Natural Science Foundation of Guangdong Province 2025A1515012162, 2024A1515010590Resear Initaion Fund of Longgang District Maternity & Child Healthcare Hospital of Shenzhen City Y2024001Shenzhen Municipal Human Resources and Social Security Bureau Postdoctoral fellow stationed in Shenzhen second batch in 2022Shenzhen Science and Technology Program JCYJ20250604145739052 and JCYJ20240813144117023
6 · The paper itself

Abstract

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 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.

Indexed as

Autism Spectrum DisorderGastrointestinal MicrobiomeJaundice, NeonatalMachine LearningMetabolomeMetagenomeBile Acids and SaltsChild, PreschoolFecesFemaleHumansInfantInfant, NewbornMaleMetagenomicsMultiomicsBile Acids and SaltsRNA, Ribosomal, 16Sautism spectrum disorderbile acid metabolismgut microbiotaneonatal jaundicevirome

Identifiers

PMID41511111
PMCPMC12911356

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.