Evidence map›Paper›PMID 40000959›Full record

ArticleBMC infectious diseases2025

Clinical manifestations in patients with anti-IFN-γ autoantibodies syndrome and Talaromyces marneffei infection: a prospective cohort study.

Hanlin Liang, Siqiao Liang, Siyao Wu, Ni Chen, Xuemei Huang, Qiangxiu Zeng, Yan Ning, Zengtao Luo, Xiaona Liang, Zhiyi He

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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.

Hanlin Liang *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuang Yong Road, Nanning, Guangxi, 530021, China.
Siqiao Liang *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuang Yong Road, Nanning, Guangxi, 530021, China.
Siyao WuDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuang Yong Road, Nanning, Guangxi, 530021, China.
Ni ChenDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuang Yong Road, Nanning, Guangxi, 530021, China.
Xuemei HuangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuang Yong Road, Nanning, Guangxi, 530021, China.
Qiangxiu ZengDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuang Yong Road, Nanning, Guangxi, 530021, China.
Yan NingDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuang Yong Road, Nanning, Guangxi, 530021, China.
Zengtao LuoDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuang Yong Road, Nanning, Guangxi, 530021, China.
Xiaona LiangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuang Yong Road, Nanning, Guangxi, 530021, China.
Zhiyi HeDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuang Yong Road, Nanning, Guangxi, 530021, China. zhiyi-river@163.com.

Funding

Central Leading Local Science and Technology Development Fund Project 2023ZYZX1021Scientific Research and Technology Development Program of Guangxi Zhuang Autonomous Region 2023AB22055
6 · The paper itself

Abstract

backgroundAnti-interferon-γ autoantibodies syndrome (AIGAs syndrome) is characterized by disseminated infections involving various pathogens. The clinical manifestations of AIGAs syndrome with Talaromyces marneffei (TM) infection are not yet completely understood.

methodsA prospective cohort study was conducted at the First Affiliated Hospital of Guangxi Medical University from January 2021 to February 2024. Patients diagnosed with TM infection were categorized into two groups: AIGAs-positive with TM infection group (Group 1) and AIGAs-negative with TM infection group (Group 2). We analyzed the clinical manifestations, laboratory data, imaging findings, and pathological characteristics of the patients to gain insights into the disease's clinical features.

resultsA total of 80 AIGAs-positive patients with TM infection (Group 1) and 23 AIGAs-negative patients with TM infection (Group 2) were enrolled. Disseminated infection was significantly more common among Group 1 patients (P < 0.001). Patients in Group 1 had higher serum G test levels than those in Group 2 (P < 0.001). They also showed higher levels of white blood cells, neutrophils, lymphocytes, eosinophils, monocytes, C-reactive protein, erythrocyte sedimentation rate, serum ferritin, globulin, immunoglobulin (Ig)G, IgE, and IgG4 (P < 0.05). Common infection sites included the lungs, lymph nodes, bones, skin, and blood in Group 1 patients. Coinfections were frequently with cytomegalovirus (CMV) and non-tuberculous mycobacteria (NTM). Among patients with bone involvement, 92.6% had systemic involvement, while 7.14% had localized involvement. Chest CT, bronchoscopy, and pathology presentations were varied. During a mean 26-month follow-up, 63.63% of patients had exacerbations; 44.9% due to reactivation of the original pathogen and 55.1% due to new pathogen infections. The multivariable Cox regression analysis indicated that dyspnea and bloodstream infection are significant risk factors for the exacerbation of AIGAs-Positive Patients with TM Infection (P < 0.05).

conclusionsAIGAs-positive patients with TM infection showed elevated inflammatory markers, abnormal immune indices, increased serum G test levels, and disseminated infections involving multiple organs. The most common coinfections were CMV and NTM. Chest imaging, bronchoscopy, and pathological findings can present diversity.

Indexed as

AutoantibodiesInterferon-gammaMycosesTalaromycesAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesAutoantibodiesInterferon-gammaAnti-interferon-γ autoantibodiesClinical manifestationsTalaromyces marneffei

Identifiers

PMID40000959
PMCPMC11853739

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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.