MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1016/j.jep.2023.117590

Медицинская библиотека · Journal of ethnopharmacology · 2023

Bioinformatics analyses of infiltrating immune cell participation on pancreatic ductal adenocarcinoma progression and in vivo experiment of the therapeutic effect of Shuangshen granules.

Hu Jiaqi, Jiang Juling, Xu Bowen, Li Yue, Wang Bei, He Shulin, Ren Xiaoling, Shi Bolun, Zhang Xing, Zheng Honggang, Hua Baojin, Liu Rui

СтатьяПеревод пока не подготовлен

Аннотация

ETHNOPHARMACOLOGICAL RELEVANCE: Shuangshen granules (SSG), a nationally patented Chinese medicinal formula, including Panax quinquefolium L., Panax notoginseng (Burkill) F. H. Chen, and Cordyceps sinensis (Berk.) Sacc., has demonstrated remarkable therapeutic effects on pancreatic cancer in clinical treatment for nearly 10 years. Previous pharmacological researches have found that its main components, including ginsenosides and cordycepin have anticancer or preventive effects on pancreatic ductal adenocarcinoma (PDAC), which may be associated with immune metabolism. However, the underlying pharmacological mechanism of SSG in the truncation effect of PDAC progression is still unclear.

AIM OF THE STUDY: To comprehensively understand the infiltrating immune cells during the different stages of the PDAC development chain and search for immune-related biomarkers that could potentially serve as drug targets through bioinformatic analysis. Meanwhile, the truncation effect of SSG on PDAC progression was also investigated.

MATERIALS AND

METHODS

The gene expression profiles at different PDAC developmental stages, including normal pancreas, pancreatic intraepithelial neoplasia (PanIN), and PDAC, were retrieved from the GEO database. The GEO2R tool was used to identify differentially expressed genes among the three groups. Functional enrichment analysis was performed with the GSEA software and Metascape platform. The CIBERSORT algorithm evaluated immune cell infiltration in the three groups, and immune-related biomarkers were identified. Correlation analysis was employed to examine the association between immune cells and the biomarkers. One of these biomarkers was selected for immunohistochemistry validation in human samples. Lastly, the effectiveness of SSG against PDAC progression and the influence on the selected biomarker were validated in vivo. The underlying pharmacological mechanisms were also explored.

RESULTS

One dataset was obtained, where the functional enrichment of DEGs primarily involved immune effector processes and cytokine production of immune cells. The differential immune cells reflected during the progression from PanIN to PDAC were B memory cells, monocytes, M2 macrophages, and activated dendritic cells. The upregulation of ACTA2 was closely associated with M2 macrophage regulation. The immunohistochemistry on human samples validated significant differences in ACTA2 expression levels as the PDAC progressed. Moreover, animal experiments revealed that the national patented drug SSG ameliorated the pathological changes, decreased the expression of ACTA2 and its functional protein α-smooth muscle actin during PDAC progression. The underlying pharmacological mechanism was related to the regulation of macrophage polarization and downregulation of TGF-β/Smad signaling pathway.

CONCLUSIONS

The immunosuppressive environment changes during the PDAC progression. ACTA2 is a potential immuned-target for drug prevention of PDAC, while SSG could be a promising drug candidate.

Для цитирования: Hu Jiaqi, Jiang Juling, Xu Bowen, Li Yue, Wang Bei, He Shulin, Ren Xiaoling, Shi Bolun, Zhang Xing, Zheng Honggang, Hua Baojin, Liu Rui. Bioinformatics analyses of infiltrating immune cell participation on pancreatic ductal adenocarcinoma progression and in vivo experiment of the therapeutic effect of Shuangshen granules.. Journal of ethnopharmacology. 2023. DOI: 10.1016/j.jep.2023.117590.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

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.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.