Evidence map›Paper›PMID 33023268›Full record

ArticleJournal of personalized medicine2020

Multivariate Analysis of Fecal Metabolites from Children with Autism Spectrum Disorder and Gastrointestinal Symptoms before and after Microbiota Transfer Therapy.

Fatir Qureshi, James Adams, Kathryn Hanagan, Dae-Wook Kang, Rosa Krajmalnik-Brown, Juergen Hahn

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 39 citations in OpenAlex.

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  9. Bimodal distribution of intestinalGut microbes reports · 2024
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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

6 authors at 3 institutions in 1 country.

Fatir QureshiBiomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
James AdamsSchool for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287, USA.ORCID 0000-0001-8683-4062
Kathryn HanaganDepartment of Computer Science, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-8978-6713
Dae-Wook KangBiodesign Swette Center for Environmental Biotechnology, Arizona State University, Tempe, AZ 85287, USA.
Rosa Krajmalnik-BrownBiodesign Swette Center for Environmental Biotechnology, Arizona State University, Tempe, AZ 85287, USA.
Juergen HahnBiomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.ORCID 0000-0002-1078-4203
Arizona State University · USRensselaer Polytechnic Institute · USPurdue University West Lafayette · US

Funding

NIH HHS 1R01AI110642
6 · The paper itself

Abstract

Fecal microbiota transplant (FMT) holds significant promise for patients with Autism Spectrum Disorder (ASD) and gastrointestinal (GI) symptoms. Prior work has demonstrated that plasma metabolite profiles of children with ASD become more similar to those of their typically developing (TD) peers following this treatment. This work measures the concentration of 669 biochemical compounds in feces of a cohort of 18 ASD and 20 TD children using ultrahigh performance liquid chromatography-tandem mass spectroscopy. Subsequent measurements were taken from the ASD cohort over the course of 10-week Microbiota Transfer Therapy (MTT) and 8 weeks after completion of this treatment. Univariate and multivariate statistical analysis techniques were used to characterize differences in metabolites before, during, and after treatment. Using Fisher Discriminant Analysis (FDA), it was possible to attain multivariate metabolite models capable of achieving a sensitivity of 94% and a specificity of 95% after cross-validation. Observations made following MTT indicate that the fecal metabolite profiles become more like those of the TD cohort. There was an 82-88% decrease in the median difference of the ASD and TD group for the panel metabolites, and among the top fifty most discriminating individual metabolites, 96% report more comparable values following treatment. Thus, these findings are similar, although less pronounced, as those determined using plasma metabolites.

Indexed as

ASDfecal metabolitesFisher Discriminant Analysisgastrointestinal symptomsmicrobiome

Identifiers

PMID33023268
PMCPMC7712156
OpenAlexW3089955527

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.