Evidence map›Paper›PMID 42646782›Full record

ReviewToxins2026

The Impact of Peptidoglycan Structure on Immune Sensing.

Sasha Cardozo, Ciaran Skerry

Abstract readReview
In one paragraph

Review in Toxins, 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

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

2 authors.

Sasha CardozoDepartment of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0003-1608-7086
Ciaran SkerryDepartment of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0001-5651-6151

Funding

Pertussis inflammation is mediated by a balance between peptidoglycan recognition proteins-1 and -4R01AI167947 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI Ciaran Skerry · 2022 to 2026
$2.1M
National Institute of Allergy and Infectious Diseases R01AI167947NIAID NIH HHS R01 AI167947
6 · The paper itself

Abstract

Peptidoglycan (PGN) is a mesh like polymer that builds and protects the bacterial cell wall. Across and even within species, PGN varies considerably in structure and composition, and this structural diversity shapes how released fragments are detected by the host. The varied structural features of PGN can also dictate its ability to act as a toxin or danger signal. Traditionally, bacterial cell wall components have been classified as toxic, based on their ability to cause extensive host cell damage, but the specific immune responses triggered by distinct PGN structural motifs when they are released into the extracellular space, and their potential direct role as toxins are not yet fully understood. Emerging evidence suggests that PGN is recognized by the host not only through its canonical di-/tripeptides, but also through novel structural motifs that are sensed by host pattern recognition receptors (PRRs). However, the mechanisms underlying the recognition of these structurally diverse fragments and their role in promoting immune activation, bacterial pathogenesis, and immune evasion remain poorly understood. In this review, we describe how structurally distinct muropeptides are synthesized, processed, and selectively sensed by host PRRs, and how differential immune recognition shapes PRR activation, thereby influencing host-pathogen interactions and infection outcomes.

Indexed as

PeptidoglycanAnimalsBacteriaHost-Pathogen InteractionsHumansInnate Immunity RecognitionReceptors, Pattern RecognitionPeptidoglycanReceptors, Pattern Recognitionbacterial evasionimmune-sensingpattern recognition receptorspeptidoglycanremodelingsignalingtoxic fragments

Identifiers

PMID42646782
PMCPMC13517164

What Socratic 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 Socratic graph.