Evidence map›Paper›PMID 29654237›Full record

ArticleScientific reports2018

Proteomic analysis at the sites of clinical infection with invasive Streptococcus pyogenes.

Robert J Edwards, Marta Pyzio, Magdalena Gierula, Claire E Turner, Vahitha B Abdul-Salam, Shiranee Sriskandan

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. A model for predicting bacteremia species based on host immune response.Frontiers in cellular and infection microbiology · 2025
    Article
  3. Review
  4. StreptococcusVirulence · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Frontiers in cellular and infection microbiology · 2020
    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

6 authors.

Robert J EdwardsFaculty of Medicine, Imperial College London, London, U.K.
Marta PyzioFaculty of Medicine, Imperial College London, London, U.K.
Magdalena GierulaFaculty of Medicine, Imperial College London, London, U.K.
Claire E TurnerFaculty of Medicine, Imperial College London, London, U.K.ORCID 0000-0002-4458-9748
Vahitha B Abdul-SalamFaculty of Medicine, Imperial College London, London, U.K.
Shiranee SriskandanFaculty of Medicine, Imperial College London, London, U.K.. s.sriskandan@imperial.ac.uk.

Funding

Medical Research Council G0800777
6 · The paper itself

Abstract

Invasive Streptococcus pyogenes infections are rare, with often-unexplained severity. Prompt diagnosis is desirable, as deaths can occur rapidly following onset and there is an increased, but preventable, risk to contacts. Here, proteomic analyses of clinical samples from invasive human S. pyogenes infections were undertaken to determine if novel diagnostic targets could be detected, and to augment our understanding of disease pathogenesis. Fluid samples from 17 patients with confirmed invasive S. pyogenes infection (empyema, septic arthritis, necrotising fasciitis) were analysed by proteomics for streptococcal and human proteins; 16/17 samples had detectable S. pyogenes DNA. Nineteen unique S. pyogenes proteins were identified in just 6/17 samples, and 15 of these were found in a single pleural fluid sample including streptococcal inhibitor of complement, trigger factor, and phosphoglycerate kinase. In contrast, 469 human proteins were detected in patient fluids, 177 (38%) of which could be identified as neutrophil proteins, including alpha enolase and lactotransferrin which, together, were found in all 17 samples. Our data suggest that streptococcal proteins are difficult to detect in infected fluid samples. A vast array of human proteins associated with leukocyte activity are, however, present in samples that deserve further evaluation as potential biomarkers of infection.

Indexed as

BiomarkersDNA, BacterialHumansProteomicsStreptococcal InfectionsStreptococcus pyogenesBiomarkersDNA, Bacterial

Identifiers

PMID29654237
PMCPMC5899161

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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.