Evidence map›Paper›PMID 22900046›Full record

ArticlePloS one2012

Detection of urinary excreted fungal galactomannan-like antigens for diagnosis of invasive aspergillosis.

Simon F Dufresne, Kausik Datta, Xinming Li, Ekaterina Dadachova, Janet F Staab, Thomas F Patterson, Marta Feldmesser, Kieren A Marr

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
  2. Article
  3. Novel Monoclonal Antibodies 1D2 and 4E4 AgainstJournal of fungi (Basel, Switzerland) · 2024
    Article
  4. GalInternational journal of molecular sciences · 2024
    Article
  5. Clinical microbiology reviews · 2024
    Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Filamentous Fungi Extracellular Vesicles.Current topics in microbiology and immunology · 2021
    Article
  13. Journal of fungi (Basel, Switzerland) · 2020
    Article
  14. Biosensors and Diagnostics for Fungal Detection.Journal of fungi (Basel, Switzerland) · 2020
    Review
  15. Review
  16. Urine Antigen Detection as an Aid to Diagnose Invasive Aspergillosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Article
  17. Article
  18. Article
  19. Review
  20. Review
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

8 authors at 5 institutions in 3 countries.

Simon F DufresneJohns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Kausik Datta
Xinming Li
Ekaterina Dadachova
Janet F Staab
Thomas F Patterson
Marta Feldmesser
Kieren A Marr
Albert Einstein College of Medicine · USJohns Hopkins Medicine · USJohns Hopkins University · USSouth Texas Veterans Health Care System · USUniversité de Montréal · CA

Funding

NEW ANIMAL MODELS FOR INVASIVE ASPERGILLOSISN01AI30041 · NIAID · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI PATTERSON, THOMAS · 2007 to 2010
$1.9M
Interaction of AIDS-associated microbes with radiationR01AI060507 · NIAID · ALBERT EINSTEIN COL OF MED YESHIVA UNIV · PI DADACHOVA, EKATERINA · 2005 to 2009
$1.8M
Aspergillosis: Engineering Antibody for DiagnosisR21AI065745 · NIAID · ALBERT EINSTEIN COL OF MED YESHIVA UNIV · PI FELDMESSER, MARTA L. · 2005 to 2006
$449k
Interaction of AIDS-associated microbes with radiationR56AI060507 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI DADACHOVA, EKATERINA · 2010 to 2010
$415k
NIAID NIH HHS AI060507NIAID NIH HHS N01 AI030041NIAID NIH HHS N01 AI30041NIAID NIH HHS R01 AI060507NIAID NIH HHS R21 AI065745NIAID NIH HHS R56 AI060507
6 · The paper itself

Abstract

Mortality associated with invasive aspergillosis (IA) remains high, partly because of delayed diagnosis. Detection of microbial exoantigens, released in serum and other body fluids during infection, may help timely diagnosis. In course of IA, Aspergillus galactomannan (GM), a well established polysaccharide biomarker, is released in body fluids including urine. Urine is an abundant, safely collected specimen, well-suited for point-of-care (POC) testing, which could play an increasing role in screening for early disease. Our main objective was to demonstrate GM antigenuria as a clinically relevant biological phenomenon in IA and establish proof-of-concept that it could be translated to POC diagnosis. Utilizing a novel IgM monoclonal antibody (MAb476) that recognizes GM-like antigens from Aspergillus and other molds, we demonstrated antigenuria in an experimental animal IA model (guinea pig), as well as in human patients. In addition, we investigated the chemical nature of the urinary excreted antigen in human samples, characterized antigen detection in urine by immunoassays, described a putative assay inhibitor in urine, and indicated means of alleviation of the inhibition. We also designed and used a lateral flow immunochromatographic assay to detect urinary excreted antigen in a limited number of IA patient urine samples. In this study, we establish that POC diagnosis of IA based on urinary GM detection is feasible. Prospective studies will be necessary to establish the performance characteristics of an optimized device and define its optimal clinical use.

Indexed as

AnimalsAntibodies, MonoclonalAntibody SpecificityAntigens, FungalAspergillosisAspergillus fumigatusCross ReactionsDisease Models, AnimalEnzyme-Linked Immunosorbent AssayGalactoseHumansMannansMiceAntibodies, MonoclonalAntigens, FungalgalactomannanGalactoseMannans

Identifiers

PMID22900046
PMCPMC3416763
OpenAlexW2024968909

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.