A novel interleukin 36 gamma for diagnosing and differentiating malignant from infectious pleural effusion

Background Pleural effusions can be caused by various diseases, making their diagnosis challenging. Light’s criteria are often used to distinguish transudative and exudative effusions. Exudative effusions have a more complex etiology, including parapneumonic, tuberculous, and malignant effusion. Objectives The main objective of this study was to evaluate the effectiveness and sensitivity of Interleukin 36 gamma (IL-36γ) as a diagnostic marker for differentiating between malignant and infectious pleural effusions. Methods The study involved 100 patients with pleural effusion. Patients were categorized into five groups based on their final diagnosis. An ELISA technique was used to quantitatively measure the levels of pleural fluid IL-36γ. Results The results showed that pleural IL-36γ levels were higher in tuberculous pleural effusion compared with malignant, transudative, and uncomplicated pleural effusion. In contrast, pleural IL-36γ levels were higher in complicated pleural effusion compared with tuberculous, malignant, transudative, and uncomplicated pleural effusion. Conclusion Based on the study’s findings, it was concluded that pleural IL-36γ is a novel biomarker that can be used to diagnose and differentiate malignant pleural effusion from infectious pleural effusion.

Authors

Institutions

Publication Details

Journal
Egyptian Journal of Chest Diseases and Tuberculosis
Published
2024-10-01
DOI
https://doi.org/10.4103/ecdt.ecdt_88_23
Primary Topic
Pleural and Pulmonary Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel interleukin 36 gamma for diagnosing and differentiating malignant from infectious pleural effusion

Marwa Salah El-Dien Abd-Elraouf, Nashwa A. Amin, S. Wahdan, Asmaa E. Mohamed et al.
Egyptian Journal of Chest Diseases and Tuberculosis
Pleural and Pulmonary Diseases
article

A novel interleukin 36 gamma for diagnosing and differentiating malignant from infectious pleural effusion

Marwa Salah El-Dien Abd-Elraouf, Nashwa A. Amin, S. Wahdan, Asmaa E. Mohamed, Amira E. Ramadan, Shimaa M. Mohammed, Kout A.M. Diab
article en

Abstract

Background Pleural effusions can be caused by various diseases, making their diagnosis challenging. Light’s criteria are often used to distinguish transudative and exudative effusions. Exudative effusions have a more complex etiology, including parapneumonic, tuberculous, and malignant effusion. Objectives The main objective of this study was to evaluate the effectiveness and sensitivity of Interleukin 36 gamma (IL-36γ) as a diagnostic marker for differentiating between malignant and infectious pleural effusions. Methods The study involved 100 patients with pleural effusion. Patients were categorized into five groups based on their final diagnosis. An ELISA technique was used to quantitatively measure the levels of pleural fluid IL-36γ. Results The results showed that pleural IL-36γ levels were higher in tuberculous pleural effusion compared with malignant, transudative, and uncomplicated pleural effusion. In contrast, pleural IL-36γ levels were higher in complicated pleural effusion compared with tuberculous, malignant, transudative, and uncomplicated pleural effusion. Conclusion Based on the study’s findings, it was concluded that pleural IL-36γ is a novel biomarker that can be used to diagnose and differentiate malignant pleural effusion from infectious pleural effusion.

Egyptian Journal of Chest Diseases and TuberculosisVol. 73(4)
Benha University (EG)
Good health and well-being
Openalex Percentile: Top 68%
Pleural and Pulmonary Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.