Evidence Hub

Sequential Talaromyces marneffei and Legionella pneumophila infections leading to the diagnosis of anti-interferon-γ autoantibody-associated immunodeficiency: a case report

Yu M, Xiao Y, Liu Y, Wang Z, Zhou H, Tang Y

BMC pulmonary medicine, 2026

Abstract

Background: Opportunistic infections caused by uncommon intracellular pathogens can serve as important clues to underlying immune dysfunction.

Case presentation: We report a 57-year-old male who presented with chronic cough, dyspnea, fever, and weight loss. Chest imaging revealed diffuse pulmonary infiltrates and mediastinal lymphadenopathy, mimicking tuberculosis or lymphoma. Despite empirical anti-tuberculosis and broad-spectrum antibiotic therapy, his condition deteriorated. Metagenomic next-generation sequencing (mNGS) and culture confirmed Talaromyces marneffei infection. During antifungal therapy, he developed Legionella pneumophila pneumonia-an unusual sequential infection that raised suspicion of an immune defect. Comprehensive immunological evaluation revealed anti-interferon-γ (anti-IFN-γ) autoantibodies, supporting the diagnosis of AIGA-associated immunodeficiency. The patient had also shown repeatedly indeterminate interferon-γ release assay (IGRA) results, retrospectively suggesting impairment of the IFN-γ pathway.

Conclusions: This case illustrates that recurrent or sequential infections with intracellular pathogens, particularly Talaromyces marneffei and Legionella pneumophila, should prompt evaluation for cell-mediated immunodeficiency such as AIGA syndrome. Early recognition may facilitate tailored antimicrobial therapy, immunological follow-up, and consideration of immunomodulatory treatment in selected patients.

How strong is the evidence?

Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free