Evidence map›Paper›PMID 40016724›Full record

ArticleBMC pulmonary medicine2025

Clinical characteristics of acquired anti-IFN-γ autoantibodies in patients infected with non-tuberculous mycobacteria: a prospective cohort study.

Hanlin Liang, Siqiao Liang, Yan Ning, Xuemei Huang, Ruiling Ning, Ni Chen, Limei Hong, Xiaona Liang, Siyao Wu, Ping Yan and 5 more

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

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

  1. Pooled it
  2. DisseminatedFrontiers in immunology · 2026
    Review
  3. SevereInfection and drug resistance · 2026
    Article
  4. Special pathogen infections presenting with neck mass as the initial manifestation.Frontiers in cellular and infection microbiology · 2026
    Article
  5. Article
  6. Article
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

15 authors.

Hanlin Liang *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Siqiao Liang *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Yan Ning *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Xuemei HuangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Ruiling NingDepartment of Medical Oncology of Respiratory, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Ni ChenDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Limei HongDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Xiaona LiangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Siyao WuDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Ping YanGeriatric Respiratory Disease Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Hongyu WeiGeriatric Respiratory Disease Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Zengtao LuoDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Qiangxiu ZengDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Dongming QuDepartment of Respiratory and Critical Medicine, Nan Xishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, Guangxi, China.
Zhiyi HeDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China. zhiyi-river@163.com.

Funding

Central Leading Local Science and Technology Development Fund Project 2023ZYZX1021Guangxi Key Technologies R&D Program 2023AB22055
6 · The paper itself

Abstract

backgroundPatients with positive anti-IFN-γ autoantibodies (AIGAs) are characterized by susceptibility to disseminated infection by multiple pathogens. The clinical characteristics of non-tuberculous mycobacterial (NTM) infection with AIGAs positivity remain unclear.

methodsA prospective cohort study was conducted at the First Affiliated Hospital of Guangxi Medical University from January 2021 to January 2024. A total of 93 patients diagnosed with NTM infection were divided into two groups: AIGAs-positive with NTM infection and AIGAs-negative with NTM infection. The clinical manifestations, laboratory data, imaging examination, and pathogens were analyzed to characterize the disease.

resultsA total of 44 AIGAs-positive and 49 AIGAs-negative patients with NTM infection were enrolled. Disseminated infections were significantly more common among AIGAs-positive patients (P < 0.001), with frequent co-infections involving Talaromyces marneffei (TM) and viruses. Additionally, AIGAs-positive patients exhibited elevated inflammatory markers and immunoglobulins. In the AIGAs-positive group, lymph nodes, bones, skin, and blood were the most frequently affected sites. Chest CT scans exhibited a range of findings. Over a mean follow-up period of 36 months, 56.82% of patients with AIGAs positivity experienced exacerbations despite undergoing regular anti-NTM therapy.

conclusionsAIGAs-positive patients with NTM infection exhibit elevated inflammatory markers, abnormal immune indicators, and coagulation function. Disseminated infections involving multiple organs are common, with frequent co-infection with TM and viruses. These patients may have unique symptoms, signs, and imaging findings compared to AIGAs-negative patients. Recurrence is common among these patients, highlighting the need for timely identification and intervention.

Indexed as

AutoantibodiesInterferon-gammaMycobacterium Infections, NontuberculousAdultAgedCoinfectionFemaleHumansMaleMiddle AgedNontuberculous MycobacteriaProspective StudiesAutoantibodiesInterferon-gammaAnti-interferon-γ autoantibodiesClinical characteristicsNon-tuberculous mycobacteria

Identifiers

PMID40016724
PMCPMC11866636

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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.