Evidence map›Paper›PMID 37278524›Full record

ArticlemSystems2023

When does a Lotka-Volterra model represent microbial interactions? Insights from

Sandra Dedrick, Vaishnavi Warrier, Katherine P Lemon, Babak Momeni

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Dynamic Simulation of Growth and Cross-Feeding in Microbiomes with μbialSim.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Unravelling three-way interactions betweenJournal of medical microbiology · 2025
    Review
  8. iScience · 2025
    Article
  9. Article
  10. Review
  11. Computational and in vitro evaluation of probiotic treatments for nasalProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Article
  14. Review
  15. Sparse species interactions reproduce abundance correlation patterns in microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
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

4 authors at 2 institutions in 1 country.

Sandra DedrickDepartment of Biology, Boston College , Chestnut Hill, Massachusetts, USA.
Vaishnavi WarrierDepartment of Biology, Boston College , Chestnut Hill, Massachusetts, USA.
Katherine P LemonDepartment of Molecular Virology & Microbiology, Alkek Center for Metagenomics & Microbiome Research and Division of Infectious Diseases, Texas Children's Hospital, Department of Pediatrics, Baylor College of Medicine , Houston, Texas, USA.ORCID 0000-0003-1542-1679
Babak MomeniDepartment of Biology, Boston College , Chestnut Hill, Massachusetts, USA.ORCID 0000-0003-1271-5196
Boston College · USBaylor College of Medicine · US

Funding

SYSTEMS APPROACHES TO THE EPIDEMIOLOGY, GENETICS AND GENOMICS OF LUNG DISEASEST32HL007427 · NHLBI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI DAWN L DEMEO, Edwin K Silverman · 1985 to 2026
$13.6M
Mechanisms of Corynebacterium-Dolosigranulum Interactions that Shape Human Nasal MicrobiotaR35GM141806 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI LEMON, KATHERINE PAIGE · 2021 to 2025
$2.0M
Impact of Commensal Corynebacterium Species on Pathogen Colonization and Microbiota CompositionR01GM117174 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI LEMON, KATHERINE PAIGE · 2016 to 2019
$1.5M
NHLBI NIH HHS T32 HL007427NIGMS NIH HHS R01 GM117174NIGMS NIH HHS R35 GM141806
6 · The paper itself

Abstract

To alter microbial community composition for therapeutic purposes, an accurate and reliable modeling framework capable of predicting microbial community outcomes is required. Lotka-Volterra (LV) equations have been utilized to describe a breadth of microbial communities, yet, the conditions in which this modeling framework is successful remain unclear. Here, we propose that a set of simple

Indexed as

MicrobiotaBacteriaHumansMicrobial InteractionsModels, BiologicalModels, Theoreticalcommunity ecologymathematical modelingmicrobial communitiesmicrobial ecologymicrobial interactionsnasal microbiota

Identifiers

PMID37278524
PMCPMC10308948
OpenAlexW4379508096

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.