Combining multiple bioinformatics analyses to screen for hub genes between multiple sclerosis (MS) and amyotrophic lateral sclerosis (ALS) and to explore the potential relationship between the two diseases from a genetic perspective.
Gene expression datasets were downloaded from the GEO database, differentially expressed genes (DEGs) were screened using the Limma package in the R software, and GO terminology analysis, KEGG pathway analysis, protein-protein interaction (PPI), ROC analysis, and qRT-PCR analysis were performed on the differentially expressed genes.
A total of 2 GEO datasets (GSE108000 and GSE68605) were included, 681 DEGs were present in MS and 1365 DEGs were available in ALS compared to the normal group, and 66 common DEGs were observed both in MS and ALS, among which the top 10 hub genes were identified to be significantly associated with MS and ALS. In addition, in order to better supplement clinical diagnosis and treatment, the Enrichr platform was used to detect signature drug molecules for the top 10 hub genes. The diagnostic efficacy of the first four hub genes was also determined based on ROC analysis as well as qRT-PCR analysis.
A bioinformatics approach was applied to effectively screen out the hub genes between MS and ALS, which provided new thoughts for the clinical diagnostic and therapeutic target development.
| 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 |