Evidence map›Paper›PMID 41217268›Full record

ReviewFEMS microbiology reviews2025

Global spread of Streptococcus pyogenes A genomics-supported narrative review.

Gabriele Arcari, Lorenzo Colombini, Matteo Castelli, Federica Novazzi, Nicola Clementi, Francesco Santoro, Nicasio Mancini

Abstract readReview
In one paragraph

Review in FEMS microbiology reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

7 authors.

Gabriele ArcariDepartment of Medicine and Technological Innovation, University of Insubria, 21100, Varese, Italy.ORCID 0000-0001-9629-4637
Lorenzo ColombiniDepartment of Medical Biotechnologies, University of Siena, 53100, Siena, Italy.
Matteo CastelliLaboratory of Medical Microbiology and Virology, Vita-Salute San Raffaele University, 20132, Milan, Italy.
Federica NovazziDepartment of Medicine and Technological Innovation, University of Insubria, 21100, Varese, Italy.
Nicola ClementiLaboratory of Medical Microbiology and Virology, Vita-Salute San Raffaele University, 20132, Milan, Italy.ORCID 0000-0002-1822-9861
Francesco SantoroDepartment of Medical Biotechnologies, University of Siena, 53100, Siena, Italy.
Nicasio ManciniDepartment of Medicine and Technological Innovation, University of Insubria, 21100, Varese, Italy.

Funding

European Union PE00000007
6 · The paper itself

Abstract

Group A Streptococcus (GAS) has recently reemerged as a leading cause of both mild and severe invasive infections worldwide, with recent upsurges in invasive disease among children and adults. Notwithstanding a partial synchronicity with the COVID-19 pandemic, this rapid global dissemination of more virulent GAS lineages has been promptly detected, as well as the molecular shifts underlying the observed changes in clinical patterns. Whole-genome sequencing (WGS)-based genomic epidemiology allowed us to gain relevant insights into this upsurge as it was happening. This review integrates the canonical research publication-based approach with genomic data and metadata and identifies a subset of genomic clusters playing a major role in invasive GAS (iGAS) infections worldwide, which were named as Global Pathogenic Lineages (GPLs). The four GPLs broadly coincide with five sequence types (STs): GPL1 with ST28, GPL2 with ST15 and ST315, GPL3 with ST52, and GPL4 with ST39. While non-GPLs clusters maintain a baseline reservoir of antimicrobial-resistance and virulence genes, GPLs show varying but noteworthy resistance profiles and are frequent causes of iGAS. The integration of WGS into routine diagnostics procedures is a forthcoming improvement, aimed not only at informing tailored therapy and implementing infection control strategies, but also to perform continuous surveillance. Ongoing WGS in clinical microbiology, as a matter of fact, will provide unparalleled insights into lineage emergence, transmission dynamics, and the geographic clustering of virulence and resistance determinants.

Indexed as

Genome, BacterialStreptococcal InfectionsStreptococcus pyogenesCOVID-19GenomicsGlobal HealthHumansWhole Genome Sequencinggenomic epidemiologyiGASinvasive infectionsphylogeneticsStreptococcus pyogenesvirulence

Identifiers

PMID41217268
PMCPMC12671055

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.