Evidence map›Paper›PMID 40206811›Full record

ArticleJournal of inflammation research2025

Interleukin -39 Expression in Pleural Effusion and Its Diagnostic Value for Tuberculous Pleurisy.

Xuxiang Song, Qipan Zhang, Tiantian Cen, Wei Fan, Weili Chen, Lun Guo, Yingying Du, Chengna Lv, Pan Tang, Zhaoxing Dong and 2 more

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Interleukin-39 is a Prognostic Biomarker and Therapy Target for Sepsis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. 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

12 authors.

Xuxiang Song *Health Science Center, Ningbo University, Ningbo, People's Republic of China.
Qipan Zhang *Department of Infectious Diseases, The First Affiliated Hospital of Ningbo University, Ningbo, People's Republic of China.
Tiantian Cen *Health Science Center, Ningbo University, Ningbo, People's Republic of China.
Wei FanHealth Science Center, Ningbo University, Ningbo, People's Republic of China.
Weili ChenHealth Science Center, Ningbo University, Ningbo, People's Republic of China.
Lun GuoDepartment of Respiratory Medicine, Suizhou Hospital, Hubei University of Medicine, Suizhou, Hubei, People's Republic of China.
Yingying DuHealth Science Center, Ningbo University, Ningbo, People's Republic of China.
Chengna LvDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, People's Republic of China.ORCID 0000-0003-2867-5213
Pan TangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, People's Republic of China.
Zhaoxing DongDepartment of Respiratory and Critical Care Medicine, Ningbo Second Hospital, Ningbo, People's Republic of China.
Mingcai LiSchool of Basic Medical Sciences and Zhejiang Key Laboratory of Pathophysiology, Health Science Center, Ningbo University, Ningbo, People's Republic of China.ORCID 0000-0003-3910-6964
Qunli DingDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, People's Republic of China.ORCID 0000-0002-6181-4548

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to assess Interleukin-39 (IL-39) levels in various types of pleural effusion (PE), explore IL-39's diagnostic value in tuberculous pleurisy, analyze its correlation with other PE and tuberculosis indicators, and confirm the involvement of IL-39 in tuberculosis infection and the resulting inflammatory response. Methods: This study enrolled 113 patients with PE caused by different etiologies: 20 with transudative effusion, 39 with malignant pleural effusion (MPE), 15 with uncomplicated parapneumonic effusion (UPPE), and 39 with tuberculous pleural effusion (TPE). Enzyme-linked immunosorbent assay (ELISA) was used to measure IL-39, interferon-gamma (IFN-γ), and tumor necrosis factor-alpha (TNF-α) levels in the pleural fluid (PF) of each group. Adenosine deaminase (ADA) activity was determined using the colorimetric method. Results: IL-39 concentration was notably higher in the TPE compared to others. The IL-39 demonstrated an AUC of 0.944, with a cut-off value of 39.8 pg/mL, sensitivity of 94.9%, and specificity of 79.7% in distinguishing between the TPE and non-TPE. In discriminating between the TPE and MPE, the AUC for IL-39 was 0.941, with a cut-off value of 39.3 pg/mL, sensitivity of 94.9%, and specificity of 79.5%. For differentiating the TPE and UPPE, IL-39 yielded an AUC of 0.885, with a cut-off value of 235.0 pg/mL, sensitivity of 66.7%, and specificity of 100.0%. Moreover, based on these findings, multivariable diagnostic model and the rapid combination of IL-39 with other tuberculosis biomarkers (such as IFN-γ, TNF-α, and ADA) significantly enhanced the diagnostic and differential diagnostic performance for TPE. Additionally, IL-39, IFN-γ, TNF-α, and ADA levels in PF were positively correlated with each other. Conclusion: IL-39 demonstrated good diagnostic and differential diagnostic value for TPE. Furthermore, the multivariate diagnostic model, as well as the joint detection of IL-39 with other tuberculosis biomarkers, can further increased the sensitivity or specificity. Additionally, IL-39 exhibited positive correlations with other tuberculosis biomarkers, suggesting its potential involvement in tuberculosis infection and the inflammatory response it may induce.

Indexed as

diagnosisInterleukin-39pleural effusiontuberculous pleurisy

Identifiers

PMID40206811
PMCPMC11980934

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.