Evidence map›Paper›PMID 42650739›Full record

ReviewAntibiotics (Basel, Switzerland)2026

Peptidoglycan Remodeling in Gram-Negative Bacteria: From Stress Adaptation to Antibiotic Tolerance and Therapeutic Targeting.

Theresa Strohhammer, Alessandra M Martorana, Alessandra Polissi

Abstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 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

3 authors.

Theresa StrohhammerDepartment of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", University of Milano, 20133 Milano, Italy.ORCID 0009-0007-8846-9805
Alessandra M MartoranaDepartment of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", University of Milano, 20133 Milano, Italy.ORCID 0000-0003-3996-4141
Alessandra PolissiDepartment of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", University of Milano, 20133 Milano, Italy.ORCID 0000-0003-0903-8024

Funding

European Union 101072632
6 · The paper itself

Abstract

The peptidoglycan (PG) sacculus of Gram-negative bacteria is continuously reorganized by a diverse enzymatic repertoire, including lytic transglycosylases, endopeptidases, carboxypeptidases, amidases and LD-transpeptidases, that operate alongside PG synthases to maintain envelope integrity throughout the cell cycle. This remodeling machinery has been extensively characterized in the context of growth and division and it is now emerging also as a key determinant of bacterial survival under non-growing and stress conditions. This review summarizes current knowledge on PG remodeling in Gram-negative bacteria, with emphasis on its regulation during stationary phase, environmental stress, and outer membrane perturbation. How these remodeling pathways, characterized by increased 3-3 cross-linking and enhanced PG-outer membrane coupling, contribute to survival under β-lactam exposure and how related enzymatic configurations can give rise to antibiotic tolerance and resistance is also discussed. Finally, recent progress in targeting PG remodeling enzymes, particularly lytic transglycosylases and peptidases, as adjuvant strategies to potentiate existing antibiotics are reviewed. In summary, PG remodeling represents a mechanistically validated but still underexploited target for addressing antibiotic tolerance and resistance in Gram-negative pathogens.

Indexed as

antibiotic tolerancegram-negative bacteria envelope stressPG remodeling

Identifiers

PMID42650739
PMCPMC13509353

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.