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Study on the Correlation between Interleukin-27 and CXCL10 in Pulmonary Tuberculosis
Jiahui Fan1, Yefeng Yang2, Liang Wang3
1State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Laboratory Center, Tumor Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China.
Interleukin-27 and CXCL10 are significantly correlated in pulmonary tuberculosis. Specific microRNAs, has-let-7b-5p and has-miR-30a-3p, are also linked, offering potential biomarkers for tuberculosis.
Area of Science:
- * Immunology
- * Molecular Biology
- * Bioinformatics
Background:
- * Pulmonary tuberculosis (TB) is a significant global health challenge.
- * Understanding the molecular mechanisms and identifying biomarkers for TB is crucial for diagnosis and treatment.
Purpose of the Study:
- * To investigate the correlation between interleukin-27 (IL-27) and CXCL10, along with other cytokines, in pulmonary tuberculosis.
- * To explore related microRNAs (miRNAs) through bioinformatics analysis.
Main Methods:
- * Immunohistochemical staining and quantitative reverse transcription polymerase chain reaction (qRT-PCR) were employed.
- * Expression levels of IL-27, CXCL9, CXCL10, and CXCL11 were assessed in lesion tissues and peripheral blood of TB patients and healthy controls.
- * Key miRNAs were predicted using bioinformatics and their expression verified via qRT-PCR.
Main Results:
- * Significantly increased expression of IL-27, CXCL9, CXCL10, and CXCL11 was observed in TB patients.
- * A significant positive correlation was found between IL-27 and CXCL10 (r = 0.68).
- * has-let-7b-5p was significantly downregulated, while has-miR-30a-3p was significantly upregulated and associated with IL-27 and CXCL10.
Conclusions:
- * IL-27 and CXCL10 are significantly interrelated in the context of pulmonary tuberculosis.
- * The identified miRNAs, specifically has-let-7b-5p and has-miR-30a-3p, show a relationship with IL-27 and CXCL10.
- * These findings provide a foundation for developing novel biomarkers for tuberculosis detection and management.
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