Evidence map›Paper›PMID 38497258›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2024

A new lexicon in the age of microbiome research.

Thomas C G Bosch, Martin J Blaser, Edward Ruby, Margaret McFall-Ngai

Open access · hybridAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Infection and immunity · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Cereal weevils' antimicrobial peptides: at the crosstalk between development, endosymbiosis and immune response.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  8. Novel technologies uncover novel 'anti'-microbial peptides inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  9. Sculpting the microbiome.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  10. When the microbiome shapes the host: immune evolution implications for infectious disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
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 3 institutions in 2 countries.

Thomas C G BoschZoological Institute, University of Kiel, 24118 Kiel, Germany.ORCID 0000-0002-9488-5545
Martin J BlaserCenter for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ 08854, USA.
Edward RubyCalifornia Institute of Technology, Pasadena, CA 91125, USA.
Margaret McFall-NgaiCalifornia Institute of Technology, Pasadena, CA 91125, USA.
California Institute of Technology · USChristian-Albrechts-Universität zu Kiel · DERutgers, The State University of New Jersey · US

Funding

Vibrio fischeri as a Model for Bacterial ColonizationR37AI050661 · NIAID · UNIVERSITY OF HAWAII AT MANOA · PI MARGARET J MC FALL-NGAI, Edward G Ruby · 2018 to 2026
$5.4M
Microbial, immune, metabolic perturbations by antibiotics (MIME study)U01AI122285 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI MARTIN J BLASER, Steven M Holland · 2016 to 2026
$5.2M
Cohort and biomarkers for COVID-19 severity, natural history, and reinfectionR01AI158911 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI BARRETT, EMILY S, BLASER, MARTIN J · 2021 to 2023
$2.6M
Vibrio colonization determinants in symbiosisR01GM135254 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI MC FALL-NGAI, MARGARET J, RUBY, EDWARD G · 2020 to 2023
$1.9M
NIAID NIH HHS R01 AI158911NIAID NIH HHS R37 AI050661NIAID NIH HHS U01 AI122285NIGMS NIH HHS R01 GM135254
6 · The paper itself

Abstract

At a rapid pace, biologists are learning the many ways in which resident microbes influence, and sometimes even control, their hosts to shape both health and disease. Understanding the biochemistry behind these interactions promises to reveal completely novel and targeted ways of counteracting disease processes. However, in our protocols and publications, we continue to describe these new results using a language that originated in a completely different context. This language developed when microbial interactions with hosts were perceived to be primarily pathogenic, as threats that had to be vanquished. Biomedicine had one dominating thought: winning this war against microorganisms. Today, we know that beyond their defensive roles, host tissues, especially epithelia, are vital to ensuring association with the normal microbiota, the communities of microbes that persistently live with the host. Thus, we need to adopt a language that better encompasses the newly appreciated importance of host-microbiota associations. We also need a language that frames the onset and progression of pathogenic conditions within the context of the normal microbiota. Such a reimagined lexicon should make it clear, from the very nature of its words, that microorganisms are primarily vital to our health, and only more rarely the cause of disease. This article is part of the theme issue 'Sculpting the microbiome: how host factors determine and respond to microbial colonization'.

Indexed as

Communicable DiseasesMicrobiotaHumansLearningMicrobial InteractionsSymbiosisantimicrobial peptidescommensalimmunitymicrobe-associated molecular patternspathogensymbiosis

Identifiers

PMID38497258
PMCPMC10945402
OpenAlexW4392916272

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.