Evidence map›Paper›PMID 24643864›Full record

ArticlemBio2014

Anti-granulocyte-macrophage colony-stimulating factor autoantibodies are a risk factor for central nervous system infection by Cryptococcus gattii in otherwise immunocompetent patients.

Tomomi Saijo, Jianghan Chen, Sharon C-A Chen, Lindsey B Rosen, Jin Yi, Tania C Sorrell, John E Bennett, Steven M Holland, Sarah K Browne, Kyung J Kwon-Chung

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in mBio, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00404560 (Screening Protocol for Detection and Characterization of Infections and Infection Susceptibility), which is not on this map. Cited by 139 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 2 pooled it
13.5field-weighted citation impact, top 1% 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.

NCT00404560 recruitingnot on this map

Screening Protocol for Detection and Characterization of Infections and Infection Susceptibility

TypeobservationalSponsorNational Institute of Allergy and Infectious Diseases (NIAID)Ran2007Enrolled2,000ConditionsImmune Deficiencies
3 · Its place in the literature

Who cites it

139 citing papers in PubMed, 2 syntheses or guidelines pooled it, 223 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Molecular Epidemiology and Antifungal Susceptibility ofInfection and drug resistance · 2026
    Article
  9. Review
  10. ConcurrentCase reports in infectious diseases · 2026
    Article
  11. Review
  12. Article
  13. Peripheral blood CD4The Journal of infection · 2025
    Article
  14. Human immunity to fungal infections.The Journal of experimental medicine · 2025
    Review
  15. The monogenic landscape of human infectious diseases.The Journal of allergy and clinical immunology · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Disseminated nocardiosis and anti-GM-CSF antibodies.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article

79 more citing papers are in PubMed but not listed here.

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

10 authors at 5 institutions in 3 countries.

Tomomi Saijo
Jianghan Chen
Sharon C-A Chen
Lindsey B Rosen
Jin Yi
Tania C Sorrell
John E Bennett
Steven M Holland
Sarah K Browne
Kyung J Kwon-Chung
National Institute of Allergy and Infectious Diseases · USNational Institutes of Health · USSecond Military Medical University · CNThe University of Sydney · AUWestmead Hospital · AU

Funding

Genes And Gene Products As ImmunoadjuvantsZIAAI000647 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI HOLLAND, STEVEN · 2009 to 2025
$22.6M
Pathogenic differences between Cryptococcus neoformans and C. gattiiZIAAI000744 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI KWON-CHUNG, KYUNG · 2010 to 2025
$10.9M
International Research in ThailandZIAAI001069 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI HOLLAND, STEVEN · 2009 to 2025
$4.3M
Molecular Genetics, Biochemistry And Therapy Of Pathogenic FungiZIAAI000654 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI BENNETT, JOHN E · 2009 to 2014
$3.4M
6 · The paper itself

Abstract

Cryptococcosis is caused by either Cryptococcus neoformans or C. gattii. While cryptococcal meningoencephalitis is caused mostly by C. neoformans in immunocompromised patients, the risk factors remain unclear for patients with no known immune defect. Recently, anti-granulocyte-macrophage colony-stimulating factor (GM-CSF) autoantibodies were detected in the plasma of seven "immunocompetent" cryptococcosis patients, and the cryptococcal strains from these patients were reported as C. neoformans (three strains), C. gattii (one strain), and Cryptococcus (three strains not identified to the species level). We identified all three strains that had not been identified to the species level as C. gattii. Notably, the three strains that were reported as C. neoformans but were unavailable for species confirmation originated from Sothern California and Thailand where C. gattii is endemic. Most clinical laboratories designate C. neoformans without distinguishing between the two species; hence, these three strains could have been C. gattii. Since C. gattii infects more immunocompetent patients than C. neoformans, we pursued the possibility that this antibody may be more prevalent in patients infected with C. gattii than in those infected with C. neoformans. We screened the plasma of 20 healthy controls and 30 "immunocompetent" patients with cryptococcal meningoencephalitis from China and Australia (multiple ethnicities). Anti-GM-CSF autoantibodies were detected only in the plasma of seven patients infected by C. gattii and one healthy volunteer and in none infected by C. neoformans. While plasma from these C. gattii patients completely prevented GM-CSF-induced p-STAT5 in normal human peripheral blood mononuclear cells (PBMCs), plasma from one healthy volunteer positive for anti-GM-CSF autoantibodies caused only partial blockage. Our results suggest that anti-GM-CSF autoantibodies may predispose otherwise immunocompetent individuals to meningoencephalitis caused by C. gattii but not necessarily to that caused by C. neoformans. IMPORTANCE Cryptococcal meningoencephalitis is the most serious central nervous system (CNS) infection caused by Cryptococcus neoformans or C. gattii. Cryptococcus primarily infects immunocopromised patients but is also sporadically encountered in otherwise "immunocompetent" patients with no known risk. In a recent study, anti-GM-CSF autoantibodies were detected in the plasma of seven otherwise immunocompetent patients with cryptococcal meningoencephalitis. Four of seven (57%) cryptococcal isolates from these patients were identified as C. gattii, while three strains were unavailable for species confirmation. We collected plasma from 30 otherwise healthy patients with CNS cryptococcosis in China and Australia (multiethnic) and analyzed the samples for the presence of anti-GM-CSF autoantibodies. The results suggest that anti-GM-CSF autoantibodies are a risk factor for CNS infection by C. gattii but not C. neoformans. GM-CSF may have a specific role in host defense against C. gattii, thereby elevating the importance of determining the level of anti-GM-CSF autoantibodies which can impact clinical management.

Indexed as

AdultAustraliaAutoantibodiesChildChild, PreschoolChinaCryptococcus gattiiDisease SusceptibilityFemaleGranulocyte-Macrophage Colony-Stimulating FactorHumansLeukocytes, MononuclearMaleMeningitis, CryptococcalMiddle AgedRisk FactorsAutoantibodiesGranulocyte-Macrophage Colony-Stimulating Factor

Identifiers

PMID24643864
PMCPMC3967522
OpenAlexW2108185361

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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.