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Background: Rheumatoid arthritis (RA) is a chronic autoimmune disease closely related to inflammation. Cuproptosis is a newly discovered unique type of cell death, and it has been found that it may play an essential role in the occurrence and development of RA. Therefore, we intend to explore the potential association between cuproptosis-related genes (CRGs) and RA to provide a new biomarker for the treatment and prognosis of RA., Methods: Download GSE93777 datasets from the GEO database. Variance analysis was performed on the CRGs that had been reported. Then, the random forest (RF) model and nomogram of differentially expressed CRGs were constructed, and the ROC curve was used to evaluate the accuracy of the diagnostic model. Next, RA patients were subtyped by consensus clustering, and immune infiltration was analyzed in each subgroup to confirm the correlation between CRGs and abundance of immune cells. The expression levels of CRGs were verified by qRT-PCR., Results: Eight differentially expressed CRGs (DLST, DLD, PDHB, PDHA1, ATP7A, CDKN2A, LIAS, DLAT) were screened out by differential analysis to construct an RF model. The ROC curve proved that this model had good diagnostic accuracy. Based on the above eight significant CRGs, a nomogram was built to predict effective and high-precision results. The consensus clustering method identified two CRG patterns. Most of the immune cells were enriched in cluster A, indicating that cluster A may be related to the development of RA. Finally, qRT-PCR verified the expression of eight key genes, further confirming our findings., Conclusion: The diagnosis model of RA based on the above eight CRGs has excellent diagnostic potential. Based on these, patients can be divided into two different molecular subtypes; it is expected to develop a new treatment strategy for RA., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Jiang, Liu, Lu, Qiu, Zou, Zhang, Chen, Jike, Xie, Dai and Bo.)

Objective To explore the expression of HIF-1α, neuronal apoptosis and the influence of traditional Chinese medicine Sanqi on hematoma after brain injury in rats. Methods Ninety SD rats were divided into 3 groups randomly: blank control group, traumatic brain injury (TBI) group and Sanqi intervention group, and they were decapitated after brain injury at different time points: 6 h, 1 d, 2 d, 3 d, 5 d, 7 d. The model of cerebral hemorrhage was made by autologous non-coagulation in stereotactic locator, the expression of HIF-1α and TUNEL-positive cells (apoptotic cells) in the perihematomal area was detected by immunohistochemistry. Results In blank control group, a small amount of HIF-1α was expressed and apoptotic cells were observed. The expression of HIF-1α was up-regulated in the brain injury group from 6 h, and the apoptotic cells increased in abundance. The peak of HIF-1α was reached at 3 d, then decreased, and remained at the high level on the 7 d. Compared with blank control group, the TBI group was statistically significant (P < 0.05). The Chinese medicine Sanqi intervention group significantly up-regulated HIF-1α'expression and decreased neuronal apoptosis, which was statistically significant (P < 0.05). Conclusion HIF-1α's expression was up-regulated around the hematoma after brain injury, and the apoptosis of nerve cells was obviously increased. The traditional Chinese medicine Sanqi can significantly increase the expression of HIF-1α, reduce the apoptosis around the hematoma, and thus play a neuroprotective role. [ABSTRACT FROM AUTHOR]