Necroptosis-related diagnostic biomarkers of bronchopulmonary dysplasia and their relationships with immune microenvironment
- VernacularTitle:支气管肺发育不良坏死性凋亡相关诊断标志物及其与免疫微环境的关系
- Author:
Haixia TU
1
;
Changjiang FANG
;
Ping GAN
;
Nana PENG
;
Yunyun GU
;
Honghua JIANG
;
Weiwei HOU
;
Guihua SHU
Author Information
- Keywords: bronchopulmonary dysplasia; premature infant; diagnostic biomarker; necropto-sis; functional enrichment; machine learning algorithm; immune microenvironment; bioinformatics
- From: Journal of Clinical Medicine in Practice 2025;29(14):80-87
- CountryChina
- Language:Chinese
- Abstract: Objective To investigate necroptosis-related diagnostic biomarkers of bronchopulmo-nary dysplasia(BPD)and their relationships with the immune microenvironment through the analysis of necroptosis-related genes(NRGs)in BPD.Methods The dataset GSE32472 was downloaded from the Gene Expression Omnibus(GEO)database,and NRGs were obtained from the Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway and Gene Cards databases.Differentially expressed necroptosis-related genes(DE-NRGs)were screened,and their biological functions and pathways were explored through functional enrichment analysis.Machine learning algorithms,inclu-ding least absolute shrinkage and selection operator(LASSO)and support vector machine-recursive feature elimination(SVM-RFE),were applied to screen feature genes.The Cell-type Ⅰdentification By Estimating Relative Subsets of RNA Transcripts(CIBERSORT)algorithm and the Estimation of Stromal and Immune Cells in Malignant Tumor Tissues using Expression Data(ESTIMATE)algo-rithm were used to explore the immune infiltration characteristics of BPD.Spearman correlation anal-ysis between feature genes and immune cells was performed using the"corrplot"package in R lan-guage.Results A total of 19 DE-NRGs were identified.The main biological functions and path-ways of DE-NRGs included the regulation of necroptosis and inflammatory responses.Three feature genes,namely flotillin-2(FLOT2),CASP8 and FADD-like apoptosis regulators(CFLAR),and charged multivesicular body protein 7(CHMP7),were further screened to construct a nomogram.In the validation sets GSE8586 and GSE188944,the area under the curve(AUC)values were all greater than 0.7.CIBERSORT analysis revealed that BPD group presented a higher proportion of naive B cells,neutrophils,eosinophils and resting mast cells compared to control group(P＜0.05).Meanwhile,the proportion of CD8+T cells,CD4+naive T cells,CD4+resting memory T cells,regulatory T cells,resting natural killer(NK)cells,M0 macrophages,M2 macrophages and activated dendritic cells was lower than that in the control group(P＜0.05).ESTIMATE analysis showed that the stromal score in the BPD group was higher than that in the control group,while the immune score was lower,with statistically significant differences(P＜0.05).Correlation analysis between the three feature genes and ESTIMATE scores indicated that FLOT2 and CFLAR were posi-tively correlated with the stromal score and negatively correlated with the immune score,whereas CHMP7 was positively correlated with the immune score and negatively correlated with the stromal score.Conclusion The three necroptosis-related feature genes can serve as diagnostic biomarkers for BPD-related necroptosis,with high diagnostic efficacy.They may play an important roles through immune mechanisms,providing new insights and theoretical references for the early diagnosis and immune intervention of BPD.
