Evidence map›Paper›PMID 41255972›Full record

ArticleResearch square2025

Elevated Microbially-Derived Metabolites in Autism: A Possible Diagnostic Screening Test for a Distinct ASD Phenotype.

Christina Flynn, Kevin Carr, Paul Whiteley, Khemlal Nirmalkar, Andrew Bellinghiere, Juergen Hahn, Hongbin Liu, Halil Arici, Laura Hewitson, Morgan Devlin and 11 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Christina FlynnArizona State University.
Kevin Carr
Paul Whiteley
Khemlal Nirmalkar
Andrew Bellinghiere
Juergen HahnRensselaer Polytechnic Institute.ORCID 0000-0002-1078-4203
Hongbin Liu
Halil Arici
Laura Hewitson
Morgan Devlin
Elena Pollard
Khyatiben Pathak
Krystine Garcia
Anakaren Rosales
Patrick Pirrotte
Daniel Kalb
Rebekah Keen
Victoria Kenyon
Alessio FasanoMassachusetts General Hospital.ORCID 0000-0002-2134-0261
Rosa Krajmalnik-BrownArizona State University.ORCID 0000-0001-6064-3524
James AdamsASU.

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI John Charles Williams · 1985 to 2026
$86.3M
NCI NIH HHS P30 CA033572
6 · The paper itself

Abstract

Many studies have confirmed that a subset of children with autism spectrum disorder (ASD) have unusually high urinary concentrations of harmful microbially-derived metabolites (MDMs) such as p-cresol sulfate and indoxyl sulfate. We hypothesized that these MDMs may affect neurodevelopment through the gut-brain axis and that a sub-phenotype characterized by gut dysbiosis may be present in most ASD individuals. This multi-site study involved measuring the concentrations of many MDMs in the urine of 52 children with ASD and 47 healthy, typically developing (TD) children, aged 2 to 11 years. The measurements were conducted first with untargeted semiquantitative Liquid Chromatography and Mass Spectrometry (LC-MS), followed by targeted quantitative LC-MS. The ASD group had significantly higher concentrations of many MDMs compared to the TD group. The MDMs included phenylalanine-derived, tryptophan-derived, and yeast-derived MDMs. Almost all children with ASD had one or more MDMs at concentrations above any TD child, and sometimes 100-1000x higher. The children with ASD had an average of 3 MDMs at levels above any TD child, compared to zero (by definition) for the TD children. Classification using one or more elevated MDM yielded a sensitivity of 90% and a specificity of 100%. This MDM System

Indexed as

Autism Spectrum DisorderBiomarkerDiagnosticsMetabolomicsmicrobial metabolitesPhenotype

Identifiers

PMID41255972
PMCPMC12622171

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.