Evidence map›Paper›PMID 39945485›Full record

ArticleAngewandte Chemie (International ed. in English)2025

Synthetic High-Throughput Microarrays of Peptidoglycan Fragments as a Novel Sero-Diagnostic Tool for Patient Antibody Profiling.

Alexandra Tsouka, Yanyan Fu, Manuel G Ricardo, Peter H Seeberger, Yue Wang, Gerald B Pier, Detlef Schuppan, Louis Boon, Jan Maarten van Dijl, Maria C Bolling and 3 more

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Alexandra TsoukaDepartment of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14476, Potsdam, Germany.
Yanyan FuDepartment of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Manuel G RicardoDepartment of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14476, Potsdam, Germany.
Peter H SeebergerDepartment of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14476, Potsdam, Germany.
Yue WangA*STAR Infectious Diseases Labs, Agency for Science and Technology Research (A*STAR), Singapore, Singapore, 138648.
Gerald B PierMass General Brigham, Harvard Medical School, Boston, MA, 02115, USA.
Detlef SchuppanInstitute of Translational Immunology and Celiac Center, Medical Center, Johannes-Gutenberg University, 55099, Mainz, Germany.
Louis BoonJJP Biologics, 00-728, Warsaw, Poland.
Jan Maarten van DijlDepartment of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Maria C BollingDepartment of Dermatology, UMCG Center of Expertise for Blistering Diseases, University Medical Center Groningen, The, Netherlands.
Girbe BuistDepartment of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Felix F LoefflerDepartment of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14476, Potsdam, Germany.ORCID 0000-0002-8227-2522
Jon D LamanDepartment of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Funding

Bundesministerium für Bildung und Forschung 13XP5050AMax-Planck-GesellschaftNational Medical Research Council (NMRC) Singapore OFIRG23Jul-0077Nederlandse Organisatie voor Wetenschappelijk Onderzoek 19989
6 · The paper itself

Abstract

Peptidoglycan (PGN) is a complex biopolymer crucial for cell wall integrity and function of all bacterial species. While the strong inflammatory properties of PGN and its derived muropeptides are well-documented in human innate immune responses, adaptive immunity, including antibody responses to PGN, remain inadequately characterized. Microarray technology represents a cost- and time-efficient method for studying such interactions. Our laser-based technology enables the high-throughput synthesis of biomolecules on functionalized glass slides. Here, this on-chip synthesis was developed for PGN fragments, to generate a variety of 216 stem peptides and attach six different glycan moieties that are major structural components of bacterial cell walls. Thereby, 864 PGN fragments from different Gram-negative and Gram-positive species were generated. The arrays were validated with four different monoclonal antibodies against PGN or poly-N-acetyl glucosamine and identified their epitopes. Finally, proof of concept for antibody profiling in patient samples was performed by comparing a panel of well-characterized plasma samples of epidermolysis bullosa (EB) patients suffering from (chronic) wounds with Staphylococcus aureus infection. EB patients show an increased response to the muramyl dipeptide. Therefore, this novel high-throughput PGN glycopeptide microarray technology promises to identify distinct antibody profiles against human microbiomes in diseases, notably in those involving the intestine.

Indexed as

Antibodies, MonoclonalPeptidoglycanProtein Array AnalysisHigh-Throughput Screening AssaysHumansAntibodies, MonoclonalPeptidoglycanantibodiesautoimmunityepidermolysis bullosa (EB)laser-induced forward transfer (LIFT)solid phase synthesis

Identifiers

PMID39945485
PMCPMC12036811

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.