Evidence map›Paper›PMID 39609397›Full record

ArticleNature communications2024

Bactericidal antibiotic treatment induces damaging inflammation via TLR9 sensing of bacterial DNA.

Julia L Gross, Rahul Basu, Clinton J Bradfield, Jing Sun, Sinu P John, Sanchita Das, John P Dekker, David S Weiss, Iain D C Fraser

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  3. Review
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  8. Observational
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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

9 authors.

Julia L GrossEmory University/NIAID Graduate Partnership Program, Bethesda, MD, USA.ORCID 0000-0002-3744-7258
Rahul BasuSignaling Systems Section, Laboratory of Immune System Biology, NIAID, Bethesda, MD, USA.
Clinton J BradfieldSignaling Systems Section, Laboratory of Immune System Biology, NIAID, Bethesda, MD, USA.ORCID 0000-0001-6410-3517
Jing SunSignaling Systems Section, Laboratory of Immune System Biology, NIAID, Bethesda, MD, USA.
Sinu P JohnSignaling Systems Section, Laboratory of Immune System Biology, NIAID, Bethesda, MD, USA.
Sanchita DasDepartment of Laboratory Medicine, NIH Clinical Center, NIH, Bethesda, MD, USA.
John P DekkerDepartment of Laboratory Medicine, NIH Clinical Center, NIH, Bethesda, MD, USA.ORCID 0000-0002-3701-5228
David S WeissDivision of Infectious Diseases, Emory University School of Medicine, Atlanta, GA, USA. david.weiss@emory.edu.ORCID 0000-0003-0980-7866
Iain D C FraserSignaling Systems Section, Laboratory of Immune System Biology, NIAID, Bethesda, MD, USA. fraseri@niaid.nih.gov.ORCID 0000-0003-2272-3907

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immunologic consequences of using bactericidal versus bacteriostatic antibiotic treatments are unclear. We observed a bacteriostatic (growth halting) treatment was more protective than a bactericidal (bacteria killing) treatment in a murine peritonitis model. To understand this unexpected difference, we compared macrophage responses to bactericidal treated bacteria or bacteriostatic treated bacteria. We found that Gram-negative bacteria treated with bactericidal drugs induced more proinflammatory cytokines than those treated with bacteriostatic agents. Bacterial DNA - released only by bactericidal treatments - exacerbated inflammatory signaling through TLR9. Without TLR9 signaling, the in vivo efficacy of bactericidal drug treatment was rescued. This demonstrates that antibiotics can act in important ways distinct from bacterial inhibition: like causing treatment failure by releasing DNA that induces excessive inflammation. These data establish a novel link between how an antibiotic affects bacterial physiology and subsequent immune system engagement, which may be relevant for optimizing treatments to simultaneously clear bacteria and modulate inflammation.

Indexed as

Anti-Bacterial AgentsDNA, BacterialInflammationMice, Inbred C57BLPeritonitisToll-Like Receptor 9AnimalsCytokinesDisease Models, AnimalFemaleGram-Negative BacteriaMacrophagesMaleMiceMice, KnockoutSignal TransductionAnti-Bacterial AgentsCytokinesDNA, BacterialTlr9 protein, mouseToll-Like Receptor 9

Identifiers

PMID39609397
PMCPMC11605096

What OpenQuestion holds

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Registered trials

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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.