1.Clinical Study on Stage Treatment withTiao He Ying Wei Needling for Insomnia
Wei GUO ; Zhiqiang CHEN ; Hanxiao ZHANG ; Xiuqin QUE ; Rongshui DAI ; Runrong ZHANG ; Dongming WANG ; Kebin WU ; Yaohui WEN
Shanghai Journal of Acupuncture and Moxibustion 2017;36(1):21-25
Objective To observe the clinical efficacy of stage treatment withTiao He Ying Wei(regulating Ying-nutritional and Wei-defensive qi) needling in treating insomnia.Method A hundred insomnia patients presenting difficulty falling asleep were randomized into group A1 and B1, 50 cases each; 100 insomnia patients presenting difficulty maintaining sleep were randomized into group A2 and B2, 50 cases in each group; 100 insomnia patients presenting early-morning awakening were randomized into group A3 and B3, 50 cases each. Group A1, A2 and A3 were treated withTiao He Ying Wei needling, while group B1, B2 and B3 were treated with conventional medication. The Symptoms score and cerebral blood flow indicators were observed before and after the intervention.Result After the treatment, the symptoms scores were significantly changed in each group (P<0.05). The improvement of symptoms score in group A1 was superior to that in group B1 (P<0.05); the improvement of symptoms score in group A2 was superior to that in group B2 (P<0.05); the improvement of symptoms score in group A3 was superior to that in group B3 (P<0.05). The cerebral blood flow indicators (middle cerebral artery, posterior cerebral artery, anterior cerebral artery, and basilar artery) were significantly changed after the treatment in group A1, A2 and A3 (P<0.05). After the treatment, there were significant differences in comparing the cerebral blood flow indicators between group A1 and B1, A2 and B2, and A3 and B3 (P<0.05).Conclusion Stage treatment withTiao He Ying Wei needling can improve the sleep quality of insomnia patients.
2.Establishment of a Mitochondrial Metabolism-Related Diagnostic Model in Schizophrenia Based on LASSO Algorithm
Yinfang LIU ; Han LIN ; Meicen LIU ; Liping LIN ; Yaohui WEN
Psychiatry Investigation 2024;21(6):618-628
Objective:
Schizophrenia is a common mental disorder, and mitochondrial function represents a potential therapeutic target for psychiatric diseases. The role of mitochondrial metabolism-related genes (MRGs) in the diagnosis of schizophrenia remains unknown. This study aimed to identify candidate genes that may influence the diagnosis and treatment of schizophrenia based on MRGs.
Methods:
Three schizophrenia datasets were obtained from the Gene Expression Omnibus database. MRGs were collected from relevant literature. The differentially expressed genes between normal samples and schizophrenia samples were screened using the limma package. Venn analysis was performed to identify differentially expressed MRGs (DEMRGs) in schizophrenia. Based on the STRING database, hub genes in DEMRGs were identified using the MCODE algorithm in Cytoscape. A diagnostic model containing hub genes was constructed using LASSO regression and logistic regression analysis. The relationship between hub genes and drug sensitivity was explored using the DSigDB database. An interaction network between miRNA-transcription factor (TF)-hub genes was created using the Network-Analyst website.
Results:
A total of 1,234 MRGs, 172 DEMRGs, and 6 hub genes with good diagnostic performance were identified. Ten potential candidate drugs (rifampicin, fulvestrant, pentadecafluorooctanoic acid, etc.) were selected. Thirty-four miRNAs targeting genes in the diagnostic model (ANGPTL4, CPT2, GLUD1, MED1, and MED20), as well as 137 TFs, were identified.
Conclusion
Six potential candidate genes showed promising diagnostic significance. rifampicin, fulvestrant, and pentadecafluorooctanoic acid were potential drugs for future research in the treatment of schizophrenia. These findings provided valuable evidence for the understanding of schizophrenia pathogenesis, diagnosis, and drug treatment.
3.Immunosuppressive tumor microenvironment contributes to tumor progression in diffuse large B-cell lymphoma upon anti-CD19 chimeric antigen receptor T therapy.
Zixun YAN ; Li LI ; Di FU ; Wen WU ; Niu QIAO ; Yaohui HUANG ; Lu JIANG ; Depei WU ; Yu HU ; Huilai ZHANG ; Pengpeng XU ; Shu CHENG ; Li WANG ; Sahin LACIN ; Muharrem MUFTUOGLU ; Weili ZHAO
Frontiers of Medicine 2023;17(4):699-713
Anti-CD19 chimeric antigen receptor (CAR)-T cell therapy has achieved 40%-50% long-term complete response in relapsed or refractory diffuse large B-cell lymphoma (DLBCL) patients. However, the underlying mechanism of alterations in the tumor microenvironments resulting in CAR-T cell therapy failure needs further investigation. A multi-center phase I/II trial of anti-CD19 CD28z CAR-T (FKC876, ChiCTR1800019661) was conducted. Among 22 evaluable DLBCL patients, seven achieved complete remission, 10 experienced partial remissions, while four had stable disease by day 29. Single-cell RNA sequencing results were obtained from core needle biopsy tumor samples collected from long-term complete remission and early-progressed patients, and compared at different stages of treatment. M2-subtype macrophages were significantly involved in both in vivo and in vitro anti-tumor functions of CAR-T cells, leading to CAR-T cell therapy failure and disease progression in DLBCL. Immunosuppressive tumor microenvironments persisted before CAR-T cell therapy, during both cell expansion and disease progression, which could not be altered by infiltrating CAR-T cells. Aberrant metabolism profile of M2-subtype macrophages and those of dysfunctional T cells also contributed to the immunosuppressive tumor microenvironments. Thus, our findings provided a clinical rationale for targeting tumor microenvironments and reprogramming immune cell metabolism as effective therapeutic strategies to prevent lymphoma relapse in future designs of CAR-T cell therapy.