Evidence map›Paper›PMID 38598636›Full record

ArticleScience advances2024

A digital twin of the infant microbiome to predict neurodevelopmental deficits.

Nicholas Sizemore, Kaitlyn Oliphant, Ruolin Zheng, Camilia R Martin, Erika C Claud, Ishanu Chattopadhyay

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  5. Harnessing the microbiome for cancer therapy.Nature reviews. Microbiology · 2026
    Review
  6. Article
  7. Review
  8. The Potential of Digital Twins for Pediatric Rare Diseases.CPT: pharmacometrics & systems pharmacology · 2026
    Review
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  11. Article
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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.

Nicholas SizemoreDepartment of Medicine, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-1676-1835
Kaitlyn OliphantDepartment of Pediatrics, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-6921-7094
Ruolin ZhengDepartment of Medicine, University of Chicago, Chicago, IL 60637, USA.ORCID 0009-0009-1110-8408
Camilia R MartinDivision of Neonatology, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0003-2783-6126
Erika C ClaudDepartment of Pediatrics, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-2408-2114
Ishanu ChattopadhyayDepartment of Medicine, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0001-8339-8162
University of Chicago · USCornell University · USUniversity of Illinois Chicago · US

Funding

ULTRASTRUCTURE AND CYTOMORPHOLOGY COREP30DK042086 · NIDDK · UNIVERSITY OF CHICAGO · PI CHANG, EUGENE B · 1990 to 2025
$29.8M
The Gut Microbiome Brain Axis and Preterm InfantsR01HD105234 · NICHD · UNIVERSITY OF CHICAGO · PI CLAUD, ERIKA C · 2021 to 2025
$3.4M
Probing short and long term consequences of Small and Large Bowel Microbiota Transplants on Host Physiology: Implications for the development of future live biotherapeuticsR01DK138072 · NIDDK · UNIVERSITY OF CHICAGO · PI EUGENE B CHANG, Kristina Brooke Martinez-Guryn · 2024 to 2026
$2.1M
NICHD NIH HHS R01 HD105234NIDDK NIH HHS P30 DK042086NIDDK NIH HHS R01 DK138072
6 · The paper itself

Abstract

Despite the recognized gut-brain axis link, natural variations in microbial profiles between patients hinder definition of normal abundance ranges, confounding the impact of dysbiosis on infant neurodevelopment. We infer a digital twin of the infant microbiome, forecasting ecosystem trajectories from a few initial observations. Using 16

Indexed as

Gastrointestinal MicrobiomeMicrobiotaArtificial IntelligenceFecesHumansInfantInfant, NewbornInfant, Premature

Identifiers

PMID38598636
PMCPMC11006218
OpenAlexW4394706986

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.