Evidence map›Paper›PMID 39994218›Full record

ArticleNature communications2025

Dissecting the properties of circulating IgG against streptococcal pathogens through a combined systems antigenomics-serology workflow.

Alejandro Gomez Toledo, Sounak Chowdhury, Elisabeth Hjortswang, James T Sorrentino, Nathan E Lewis, Anna Bläckberg, Simon Ekström, Sven Kjellström, Arman Izadi, Berit Olofsson and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

14 authors.

Alejandro Gomez Toledo *Division of Infection Medicine, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-2103-7158
Sounak Chowdhury *Division of Infection Medicine, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
Elisabeth HjortswangDivision of Infection Medicine, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
James T SorrentinoBioinformatics and Systems Biology Graduate Program, University of California, San Diego, CA, USA.
Nathan E LewisDepartments of Pediatrics and Bioengineering, University of California, San Diego, CA, USA.ORCID http://orcid.org/0000-0001-7700-3654
Anna BläckbergDivision of Infection Medicine, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
Simon EkströmBioMS, Lund, Sweden.ORCID http://orcid.org/0000-0002-7694-285X
Sven KjellströmBioMS, Lund, Sweden.ORCID http://orcid.org/0000-0003-4646-5279
Arman IzadiDivision of Infection Medicine, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-0262-1017
Berit OlofssonDivision of Infection Medicine, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.ORCID http://orcid.org/0009-0009-0602-2183
Pontus NordenfeltDivision of Infection Medicine, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-9481-9951
Lars MalmströmDivision of Infection Medicine, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0001-9885-9312
Magnus RasmussenDivision of Infection Medicine, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
Johan MalmströmDivision of Infection Medicine, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden. johan.malmstrom@med.lu.se.ORCID http://orcid.org/0000-0002-2889-7169

Funding

Unraveling the mammalian secretory pathway through systems biology and algorithm developmentR35GM119850 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEWIS, NATHAN ENOCH · 2016 to 2025
$4.3M
NIGMS NIH HHS R35 GM119850
6 · The paper itself

Abstract

This study showcases an integrative mass spectrometry-based strategy combining systems antigenomics and systems serology to characterize human antibodies in clinical samples. This strategy involves using antibodies circulating in plasma to affinity-enrich antigenic proteins in biochemically fractionated pools of bacterial proteins, followed by their identification and quantification using mass spectrometry. A selected subset of the identified antigens is then expressed recombinantly to isolate antigen-specific IgG, followed by characterization of the structural and functional properties of these antibodies. We focused on Group A streptococcus (GAS), a major human pathogen lacking an approved vaccine. The data shows that both healthy and GAS-infected individuals have circulating IgG against conserved streptococcal proteins, including toxins and virulence factors. The antigenic breadth of these antibodies remains relatively constant across healthy individuals but changes considerably in GAS bacteremia. Moreover, antigen-specific IgG analysis reveals individual variation in titers, subclass distributions, and Fc-signaling capacity, despite similar epitope and Fc-glycosylation patterns. Finally, we show that GAS antibodies may cross-react with Streptococcus dysgalactiae (SD), a bacterial pathogen that occupies similar niches and causes comparable infections. Collectively, our results highlight the complexity of GAS-specific antibody responses and the versatility of our methodology to characterize immune responses to bacterial pathogens.

Indexed as

Antibodies, BacterialAntigens, BacterialImmunoglobulin GStreptococcal InfectionsStreptococcusStreptococcus pyogenesBacterial ProteinsCross ReactionsEpitopesFemaleHumansMass SpectrometryWorkflowAntibodies, BacterialAntigens, BacterialBacterial ProteinsEpitopesImmunoglobulin G

Identifiers

PMID39994218
PMCPMC11850916

What OpenQuestion holds

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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.