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Outline
This study aimed to screen the diagnostic biomarkers in the pathogenesis of sciatica and analyze the genes related to endoplasmic reticulum stress in the pathogenesis of sciatica.
The data of sciatica microarray was retrieved from Geo database，and the differentially expressed genes（DEGs）associated with endoplasmic reticulum stress were obtained by analyzing the intersection of DEGs and endoplasmic reticulum stress genes. The differentially expressed genes were enriched and analyzed，and the differentially expressed genes were analyzed by immune cell infiltration. The differentially expressed genes associated with immunity were further obtained by combining weighted gene coexpression network analysis. Key genes were screened by Lasso，xgboost and random forest methods to construct a diagnostic model and validate it. It objectively analyzed the correlation between endoplasmic reticulum stress related genes and diagnostic genes，and then predicted the Chinese medicine that can intervene the pathogenesis of sciatica and endoplasmic reticulum stress related genes.
A total of 286 DEGs were obtained by differential analysis，which were mainly concentrated in biological processes such as cell response to reactive oxygen species，cell response to chemical stress，immune receptor activity，oxidoreductase activity，as well as peroxisomeproliferater-activated receptor（PPAR）signaling pathway，phospholipase D signaling pathway，necrotic apoptosis and other signaling pathways. Immunoinfiltration analysis showed that regulatory T cells，follicular helper T cells and memory CD4 T cells were differentially expressed，which also showed that the above three kinds of immune cells played a certain role in the pathogenesis of sciatica.A total of 83 key module genes were obtained by WGCNA combined with immune infiltration analysis. Hub genes such as ZC3H15，RPL7，RPL26l1，TPT1，RPL22l1，RPS15A，RPS3A，RPL36A，RPS24 and RPL30 were obtained by PPI analysis. Four diagnostic genes such as KLF9，scarf1，CYP27A1 and CEBPA were screened by machine learning method，and the four diagnostic genes were correlated with the expression of hub gene. Finally，36 kinds of Chinese medicine that can regulate hub gene were predicted.
KLF9，SCARF1，CYP27A1 and CEBPA genes have diagnostic value for sciatica. Endoplasmic reticulum stress related genes play a certain role in the pathogenesis of sciatica. Quanxie（Scorpio），Yanjingshe（cobra），Ziheche（dried human placenta），Liuhuang（sulfur），Lurong（Cervi Cornu Pantotrichum）and other Chinese medicines may be potential drugs for the prevention and treatment of sciatica.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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