Evidence map›Paper›PMID 40840427›Full record

ArticleCell systems2025

Microbial bellwether: Community-scale metabolic modeling to predict infection.

Connor Tiffany, Joseph P Zackular

Abstract readComment
PubMed Publisher
In one paragraph

Article in Cell systems, 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

2 authors.

Connor TiffanyDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Division of Protective Immunity, Children's Hospital of Philadelphia, Philadelphia, PA, USA; The Center for Microbial Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Joseph P ZackularDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Division of Protective Immunity, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Institute for Immunology and Immune Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; The Center for Microbial Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA. Electronic address: joseph.zackular@pennmedicine.upenn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial colonization is shaped by a complex network of interactions that influence both commensals and pathogens, including the public-health threat Clostridioides difficile. In this issue of Cell Systems, Carr et al. present a community-scale modeling framework for predicting colonization and metabolism, offering new insights into C. difficile infection.

Indexed as

Clostridioides difficileClostridium InfectionsModels, BiologicalHumans

Identifiers

PMID40840427

What OpenQuestion holds

Textmetadata
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.