Evidence map›Paper›PMID 31429907›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020

Natural History and Evolution of Anti-Interferon-γ Autoantibody-Associated Immunodeficiency Syndrome in Thailand and the United States.

Gloria H Hong, Ana M Ortega-Villa, Sally Hunsberger, Ploenchan Chetchotisakd, Siriluck Anunnatsiri, Piroon Mootsikapun, Lindsey B Rosen, Christa S Zerbe, Steven M Holland

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 3 pooled it
–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

84 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
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  7. Interleukin-6 fromMicrobiology spectrum · 2026
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  9. Observational
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  15. Dermatopathic Lymphadenopathy withInfection and drug resistance · 2026
    Article
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  17. Case Report: DisseminatedFrontiers in immunology · 2026
    Article
  18. Article
  19. Article
  20. Observational

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Gloria H HongLaboratory of Clinical Immunology and Microbiology, Bethesda, Maryland, USA.
Ana M Ortega-VillaBiostatistics Research Branch, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA.
Sally HunsbergerBiostatistics Research Branch, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA.
Ploenchan ChetchotisakdSrinagarind Hospital, Khon Kaen University, Khon Kaen, Thailand.
Siriluck AnunnatsiriSrinagarind Hospital, Khon Kaen University, Khon Kaen, Thailand.
Piroon MootsikapunSrinagarind Hospital, Khon Kaen University, Khon Kaen, Thailand.
Lindsey B RosenLaboratory of Clinical Immunology and Microbiology, Bethesda, Maryland, USA.
Christa S ZerbeLaboratory of Clinical Immunology and Microbiology, Bethesda, Maryland, USA.
Steven M HollandLaboratory of Clinical Immunology and Microbiology, Bethesda, Maryland, USA.

Funding

Genes And Gene Products As ImmunoadjuvantsZIAAI000647 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI HOLLAND, STEVEN · 2009 to 2025
$22.6M
International Research in ThailandZIAAI001069 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI HOLLAND, STEVEN · 2009 to 2025
$4.3M
Rituximab for Anticytokine Autoantibody-Associated SyndromesZIAAI001182 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI HOLLAND, STEVEN · 2013 to 2025
$3.0M
6 · The paper itself

Abstract

backgroundThe natural history of anti-interferon-γ (IFN-γ) autoantibody-associated immunodeficiency syndrome is not well understood.

methodsData of 74 patients with anti-IFN-γ autoantibodies at Srinagarind Hospital, Thailand, were collected annually (median follow-up duration, 7.5 years). Annual data for 19 patients and initial data for 4 patients with anti-IFN-γ autoantibodies at the US National Institutes of Health were collected (median follow-up duration, 4.5 years). Anti-IFN-γ autoantibody levels were measured in plasma samples.

resultsNinety-one percent of US patients were of Southeast Asian descent; there was a stronger female predominance (91%) in US than Thai (64%) patients. Mycobacterium abscessus (34%) and Mycobacterium avium complex (83%) were the most common nontuberculous mycobacteria in Thailand and the United States, respectively. Skin infections were more common in Thailand (P = .001), whereas bone (P < .0001), lung (P = .002), and central nervous system (P = .03) infections were more common in the United States. Twenty-four percent of Thai patients died, most from infections. None of the 19 US patients with follow-up data died. Anti-IFN-γ autoantibody levels decreased over time in Thailand (P < .001) and the United States (P = .017), with either cyclophosphamide (P = .01) or rituximab therapy (P = .001).

conclusionsPatients with anti-IFN-γ autoantibodies in Thailand and the United States had distinct demographic and clinical features. While titers generally decreased with time, anti-IFN-γ autoantibody disease had a chronic clinical course with persistent infections and death. Close long-term surveillance for new infections is recommended.

Indexed as

Immunologic Deficiency SyndromesMycobacterium abscessusMycobacterium Infections, NontuberculousAutoantibodiesFemaleHumansThailandUnited StatesAutoantibodiesadult-onset immunodeficiencyanticytokine autoantibodiesanti-interferon-γ autoantibodiesdisseminated nontuberculous mycobacterial infectionopportunistic infection

Identifiers

PMID31429907
PMCPMC7312243

What OpenQuestion holds

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Registered trials

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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.