Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025
[Diagnostic and predictive value of ferroptosis-related genes in patients with ulcerative colitis].
Аннотация на английскомСтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
He Rongmao, Fang Zeyang, Zhang Yunyun, Wu Youliang, Liang Shixiu, Ji Tao, Chen Kequan, Wang Siqi
Аннотация
OBJECTIVES: To explore the value of ferroptose-related genes in the diagnosis and prediction of ulcerative colitis (UC).
METHODS: We used UC dataset from the GEO database to screen for differentially expressed genes (DEGs) in UC. The DEGs related to ferroptositis were screened from the FerrDb database and their functions were analyzed. The hub genes were identified by constructing the protein-protein interaction network (PPI), the differences in immune infiltration levels between UC and the control group were evaluated using CIBERSORT, and the diagnostic values of the hub genes for UC were verified by using the training set. In a mouse model of UC, we examined the expression levels of the hub genes in the colon tissues of the mice using real-time fluorescence quantitative PCR (qPCR).
RESULTS: We identified a total of 76 DEGs related to ferroptosis. Functional enrichment analysis showed that these genes were significantly enriched in ferroptosis and hypoxia pathways. The PPI network identified 10 hub genes, and 9 of them were highly expressed in UC. Analysis of immune cell infiltration showed that 27 cell types were significantly increased in UC (P<0.05), and the immune checkpoints-related genes had the strongest correlation with the hub gene PPARG (P<0.05). Verification analysis using the training set showed that P4HB, PPARG and STAT3 had the best predictive value for UC (P<0.05). In the UC mouse model, the expression of PPARG was significantly decreased and the expressions of P4HB and STAT3 were significantly increased in the colon tissues of the mice as compared with the normal mice.
CONCLUSIONS: Ferroptose-related genes have significant value for diagnosis and prediction of UC.
METHODS: We used UC dataset from the GEO database to screen for differentially expressed genes (DEGs) in UC. The DEGs related to ferroptositis were screened from the FerrDb database and their functions were analyzed. The hub genes were identified by constructing the protein-protein interaction network (PPI), the differences in immune infiltration levels between UC and the control group were evaluated using CIBERSORT, and the diagnostic values of the hub genes for UC were verified by using the training set. In a mouse model of UC, we examined the expression levels of the hub genes in the colon tissues of the mice using real-time fluorescence quantitative PCR (qPCR).
RESULTS: We identified a total of 76 DEGs related to ferroptosis. Functional enrichment analysis showed that these genes were significantly enriched in ferroptosis and hypoxia pathways. The PPI network identified 10 hub genes, and 9 of them were highly expressed in UC. Analysis of immune cell infiltration showed that 27 cell types were significantly increased in UC (P<0.05), and the immune checkpoints-related genes had the strongest correlation with the hub gene PPARG (P<0.05). Verification analysis using the training set showed that P4HB, PPARG and STAT3 had the best predictive value for UC (P<0.05). In the UC mouse model, the expression of PPARG was significantly decreased and the expressions of P4HB and STAT3 were significantly increased in the colon tissues of the mice as compared with the normal mice.
CONCLUSIONS: Ferroptose-related genes have significant value for diagnosis and prediction of UC.