Evidence map›Paper›PMID 24179164›Full record

ArticleJournal of the American Society of Nephrology : JASN2013

Pathogen-specific local immune fingerprints diagnose bacterial infection in peritoneal dialysis patients.

Chan-Yu Lin, Gareth W Roberts, Ann Kift-Morgan, Kieron L Donovan, Nicholas Topley, Matthias Eberl

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

30 citing papers in PubMed, 62 citations in OpenAlex.

  1. Trial
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  8. Observational
  9. Unconventional T cells and kidney disease.Nature reviews. Nephrology · 2021
    Review
  10. CytoPy: An autonomous cytometry analysis framework.PLoS computational biology · 2021
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. The NLRP3 Inflammasome Has a Critical Role in Peritoneal Dialysis-Related Peritonitis.Journal of the American Society of Nephrology : JASN · 2017
    Article
  17. Article
  18. Article
  19. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Chan-Yu LinCardiff Institute of Infection and Immunity, Cardiff University, Cardiff, Wales, United Kingdom;
Gareth W Roberts
Ann Kift-Morgan
Kieron L Donovan
Nicholas Topley
Matthias Eberl
Cardiff University · GBCardiff and Vale University Health Board · GB

Funding

Department of Health II-LA-0712-20006
6 · The paper itself

Abstract

Accurate and timely diagnosis of bacterial infection is crucial for effective and targeted treatment, yet routine microbiological identification is inefficient and often delayed to an extent that makes it clinically unhelpful. The immune system is capable of a rapid, sensitive and specific detection of a broad spectrum of microbes, which has been optimized over millions of years of evolution. A patient's early immune response is therefore likely to provide far better insight into the true nature and severity of microbial infections than conventional tests. To assess the diagnostic potential of pathogen-specific immune responses, we characterized the local responses of 52 adult patients during episodes of acute peritoneal dialysis (PD)-associated peritonitis by multicolor flow cytometry and multiplex ELISA, and defined the immunologic signatures in relation to standard microbiological culture results and to clinical outcomes. We provide evidence that unique local "immune fingerprints" characteristic of individual organisms are evident in PD patients on the day of presentation with acute peritonitis and discriminate between culture-negative, Gram-positive, and Gram-negative episodes of infection. Those humoral and cellular parameters with the most promise for defining disease-specific immune fingerprints include the local levels of IL-1β, IL-10, IL-22, TNF-α, and CXCL10, as well as the frequency of local γδ T cells and the relative proportion of neutrophils and monocytes/macrophages among total peritoneal cells. Our data provide proof of concept for the feasibility of using immune fingerprints to inform the design of point-of-care tests that will allow rapid and accurate infection identification and facilitate targeted antibiotic prescription and improved patient management.

Indexed as

Peritoneal DialysisAcute DiseaseAdultBiomarkersFemaleGram-Negative Bacterial InfectionsHumansInterleukin-10Interleukin-1betaKaplan-Meier EstimateKidney Failure, ChronicMacrophages, PeritonealMaleNeutrophilsPeritonitisPredictive Value of TestsBiomarkersIL10 protein, humanInterleukin-10Interleukin-1beta

Identifiers

PMID24179164
PMCPMC3839555
OpenAlexW2099394719

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.