Evidence map›Paper›PMID 37443359›Full record

ArticleTranslational psychiatry2023

Early-life differences in the gut microbiota composition and functionality of infants at elevated likelihood of developing autism spectrum disorder.

Simone Zuffa, Patrick Schimmel, Ayoze Gonzalez-Santana, Clara Belzer, Jan Knol, Sven Bölte, Terje Falck-Ytter, Hans Forssberg, Jonathan Swann, Rochellys Diaz Heijtz

Open access · greenAbstract read
In one paragraph

Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 100% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.

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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

10 authors at 6 institutions in 4 countries.

Simone ZuffaDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0001-7237-3402
Patrick SchimmelLaboratory of Microbiology, Wageningen University, Wageningen, the Netherlands.ORCID 0000-0003-2481-5290
Ayoze Gonzalez-SantanaDepartment of Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden.
Clara BelzerLaboratory of Microbiology, Wageningen University, Wageningen, the Netherlands.
Jan KnolLaboratory of Microbiology, Wageningen University, Wageningen, the Netherlands.
Sven BölteCenter of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research; Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.ORCID 0000-0002-4579-4970
Terje Falck-YtterCenter of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research; Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.ORCID 0000-0001-9714-0197
Hans ForssbergDepartment of Women's & Children's Health, Karolinska Institutet, Stockholm, Sweden.
Jonathan SwannDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK. j.swann@soton.ac.uk.ORCID 0000-0002-6485-4529
Rochellys Diaz HeijtzDepartment of Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden. rochellys.heijtz@ki.se.ORCID 0000-0001-6821-2569
Karolinska Institutet · SEWageningen University & Research · NLDanone (Netherlands) · NLImperial College London · GBStockholm Health Care Services · SEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence from cross-sectional human studies, and preliminary microbial-based intervention studies, have implicated the microbiota-gut-brain axis in the neurobiology of autism spectrum disorder (ASD). Using a prospective longitudinal study design, we investigated the developmental profile of the fecal microbiota and metabolome in infants with (n = 16) and without (n = 19) a family history of ASD across the first 36 months of life. In addition, the general developmental levels of infants were evaluated using the Mullen Scales of Early Learning (MSEL) test at 5 and 36 months of age, and with ADOS-2 at 36 months of age. At 5 months of age, infants at elevated-likelihood of ASD (EL) harbored less Bifidobacterium and more Clostridium and Klebsiella species compared to the low-likelihood infants (LL). Untargeted metabolic profiling highlighted that LL infants excreted a greater amount of fecal γ-aminobutyric acid (GABA) at 5 months, which progressively declined with age. Similar age-dependent patterns were not observed in the EL group, with GABA being consistently low across all timepoints. Integrated microbiome-metabolome analysis showed a positive correlation between GABA and Bifidobacterium species and negative associations with Clostridium species. In vitro experiments supported these observations demonstrating that bifidobacteria can produce GABA while clostridia can consume it. At the behavioral level, there were no significant differences between the EL and LL groups at 5 months. However, at 36 months of age, the EL group had significantly lower MSEL and ADOS-2 scores compared to the LL group. Taken together, the present results reveal early life alterations in gut microbiota composition and functionality in infants at elevated-likelihood of ASD. These changes occur before any behavioral impairments can be detected, supporting a possible role for the gut microbiota in emerging behavioral variability later in life.

Indexed as

Autism Spectrum DisorderGastrointestinal MicrobiomeCross-Sectional StudiesHumansInfantLongitudinal StudiesProspective Studies

Identifiers

PMID37443359
PMCPMC10344877
OpenAlexW37443359

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.