Evidence map›Paper›PMID 42182110›Full record

ArticlebioRxiv : the preprint server for biology2026

Metagenome-scale Modeling to Assess Microbiome Metabolic Complementarity for Precision Microbiota Transplantation Therapies.

Zetian Zhang, Mark Holton, Daniel M Ferrer, Arielle D Tripp, Alexander Richter, Purushottam D Dixit, Guillaume Urtecho

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

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

7 authors.

Zetian ZhangSchool of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Mark HoltonDepartment of Medicine, Division of Gastroenterology, University of California, San Diego, La Jolla, CA, USA.
Daniel M FerrerDepartment of Medicine, Division of Gastroenterology, University of California, San Diego, La Jolla, CA, USA.
Arielle D TrippDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Alexander RichterDepartment of Medicine, Division of Gastroenterology, University of California, San Diego, La Jolla, CA, USA.
Purushottam D DixitDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.ORCID 0000-0003-3282-0866
Guillaume UrtechoDepartment of Medicine, Division of Gastroenterology, University of California, San Diego, La Jolla, CA, USA.ORCID 0000-0003-1045-1721

Funding

UC San Diego FIRST ProgramU54CA272220 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Deborah L Wingard · 2022 to 2026
$21.2M
San Diego Digestive Diseases Research CenterP30DK120515 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Bernd G. Schnabl · 2019 to 2026
$10.8M
MANET: Maximum Entropy Neural Networks for Mechanistic Modeling of Single Cell BehaviorR35GM142547 · NIGMS · YALE UNIVERSITY · PI DIXIT, PURUSHOTTAM · 2021 to 2025
$1.9M
Integrative Computational and Experimental Approaches to Assess Metabolic Complementarity for Precision Microbiota Transplantation TherapiesR21AT013617 · NCCIH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Guillaume Urtecho · 2026 to 2026
$429k
NCCIH NIH HHS R21 AT013617NCI NIH HHS U54 CA272220NIDDK NIH HHS P30 DK120515NIGMS NIH HHS R35 GM142547
6 · The paper itself

Abstract

Fecal microbiota transplantation (FMT) holds therapeutic promise beyond recurrent

Indexed as

bacterial therapeuticscolonization resistancecommunity-scale metabolic modelingdonor-recipient matchingfecal microbiota transplantationFMTmetabolic niche complementaritymicrobiome engraftment

Identifiers

PMID42182110
PMCPMC13192889

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.