[Network Meta-analysis of peroral Chinese patent medicines for activating blood and resolving stasis in treatment of endometriosis].

Network Meta-analysis was performed to systematically compare the efficacy of different Chinese patent medicines for activating blood and resolving stasis in the treatment of endometriosis and to provide evidence-based references for clinical medication regimens. The relevant randomized controlled trials(RCTs) involving Chinese patent medicines combined with conventional treatment(experimental group) vs conventional treatment(control group) were retrieved from Chinese and English literature databases. The bias risk assessment tool recommended in Cochrane handbook 5.3 was used to evaluate the quality of the included studies. The result data of each outcome index was extracted for network Meta-analysis in Stata 15.0. A total of 44 RCTs were included in this study, involving 4 345 patients and 9 Chinese patent medicines. The network Meta-analysis revealed the following trends.(1)In terms of reducing the visual analogue scale(VAS) scores, Dan'e Fukang Plaster+conventional treatment>Xuefu Zhuyu Capsules+conventional treatment>Gongliuxiao Capsules+conventional treatment.(2)In terms of reducing cancer antigen CA125, Xiaojin Capsules+conventional treatment>Shaofu Zhuyu Granules+conventional treatment>Dan'e Fukang Plaster+conventional treatment.(3)In terms of reducing estradiol(E_2), Gongliuxiao Capsules+conventional treatment>Xiaojin Capsules+conventional treatment>Sanjie Zhentong Capsules+conventional treatment.(4) In terms of reducing recurrence rate, Guizhi Fuling Capsules+conventional treatment>Xuefu Zhuyu Capsules+conventional treatment>Dan'e Fukang Plaster+conventional treatment. The peroral Chinese patent medicines for activating blood and resolving stasis combined with conventional treatment have better efficacy in the treatment of endometriosis than conventional treatment. However, considering the low quality of the included literature, large-scale high-quality clinical trials are needed in the future research.

Construction and evaluation of endometriosis diagnostic prediction model and immune infiltration based on efferocytosis-related genes.

Background: Endometriosis (EM) is a long-lasting inflammatory disease that is difficult to treat and prevent. Existing research indicates the significance of immune infiltration in the progression of EM. Efferocytosis has an important immunomodulatory function. However, research on the identification and clinical significance of efferocytosis-related genes (EFRGs) in EM is sparse. Methods: The EFRDEGs (differentially expressed efferocytosis-related genes) linked to datasets associated with endometriosis were thoroughly examined utilizing the Gene Expression Omnibus (GEO) and GeneCards databases. The construction of the protein-protein interaction (PPI) and transcription factor (TF) regulatory network of EFRDEGs ensued. Subsequently, machine learning techniques including Univariate logistic regression, LASSO, and SVM classification were applied to filter and pinpoint diagnostic biomarkers. To establish and assess the diagnostic model, ROC analysis, multivariate regression analysis, nomogram, and calibration curve were employed. The CIBERSORT algorithm and single-cell RNA sequencing (scRNA-seq) were employed to explore immune cell infiltration, while the Comparative Toxicogenomics Database (CTD) was utilized for the identification of potential therapeutic drugs for endometriosis. Finally, immunohistochemistry (IHC) and reverse transcription quantitative polymerase chain reaction (RT-qPCR) were utilized to quantify the expression levels of biomarkers in clinical samples of endometriosis. Results: Our findings revealed 13 EFRDEGs associated with EM, and the LASSO and SVM regression model identified six hub genes (ARG2, GAS6, C3, PROS1, CLU, and FGL2). Among these, ARG2, GAS6, and C3 were confirmed as diagnostic biomarkers through multivariate logistic regression analysis. The ROC curve analysis of GSE37837 (AUC = 0.627) and GSE6374 (AUC = 0.635), along with calibration and DCA curve assessments, demonstrated that the nomogram built on these three biomarkers exhibited a commendable predictive capacity for the disease. Notably, the ratio of nine immune cell types exhibited significant differences between eutopic and ectopic endometrial samples, with scRNA-seq highlighting M0 Macrophages, Fibroblasts, and CD8 Tex cells as the cell populations undergoing the most substantial changes in the three biomarkers. Additionally, our study predicted seven potential medications for EM. Finally, the expression levels of the three biomarkers in clinical samples were validated through RT-qPCR and IHC, consistently aligning with the results obtained from the public database. Conclusion: we identified three biomarkers and constructed a diagnostic model for EM in this study, these findings provide valuable insights for subsequent mechanistic research and clinical applications in the field of endometriosis.

LncRNA NEAT1/miR-204/NUAK1 Axis is a Potential Therapeutic Target for Non-Small Cell Lung Cancer.

BACKGROUND: Long non-coding RNA (lncRNA) is a key part of non-coding RNA, and more and more evidence has revealed that it plays a vital role in tumors. NEAT1 is a lncRNA discovered in the early stage. However, it is still unclear whether NEAT1 and miR-204 play a regulatory role in lung cancer (LC). This research aimed to determine the biological function of NEAT1/miR-204 in non-small cell lung cancer (NSCLC). MATERIALS AND METHODS: In order to research the function of NEAT1 in NSCLC, RT-PCR, Western blot, luciferase assay and RNA immunoprecipitation assay were used to determine the relationship between NEAT1, miR-204 and NUAK1. CCK8 test, cell migration and invasion test were used to explore the influence of NEAT1 on proliferation and metastasis of LC cells. Tumor allotransplantation was used to detect the influence of NEAT1 on the growth of LC. RESULTS: The results revealed that NEAT1 was obviously enhanced in LC cell lines. Further functional analysis showed that low expression of NEAT1 obviously suppressed the growth, migration and invasion of NSCLC and facilitated cell apoptosis. Determination of luciferase reporter gene revealed that miR-204 was the direct target of NEAT1 in LC. In addition, NUAK1 was called the direct target of miR-204, and miR-204/NUAK1 had saved the role of NEAT1 in NSCLC cells. Tumor allotransplantation experiments showed that knocking down NEAT1 could inhibit the growth of LC. CONCLUSION: In summary, our results showed that the down-regulation of NEAT1 in NSCLC inhibited its growth, migration and invasion through the miR-204/NUAK1 axis.

Impact of nicotine on the interplay between human periodontal ligament cells and CD4+ T cells.

Periodontitis is a common infectious disease associated with destruction of periodontal ligaments and alveolar bones. CD4(+) T cell-mediated immune response is involved in the progression of periodontitis. Tobacco consumption increases the risk of periodontal disease. However, the impact of nicotine on the interaction between human periodontal ligament (PDL) cells and CD4(+) T cells remains unrevealed. Our study aims to investigate the effect of nicotine on PDL cells and the cocultured CD4(+) T cells. The PDL cell cultures were established by explants from healthy individuals, exposed to nicotine or α-bungarotoxin (α-BTX), and incubated solely or in combination with CD4(+) T cells. Afterwards, cell viability, secreted cytokines, and matrix metalloproteinases (MMPs) were evaluated. In monoculture of PDL cells, nicotine dramatically repressed cell viability and increased apoptosis. Meanwhile, α-BTX largely reversed the nicotine-induced apoptosis and increased viability of PDL cells. Compared with the monoculture, MMP-1, MMP-3, interleukin (IL)-1ß, IL-6, IL-17, and IL-21 in supernatant of cocultures were markedly elevated after treatment with nicotine. Moreover, α-BTX significantly attenuated nicotine-triggered production of these components either in mono- or co-cultures. In addition, PDL cell-derived CXCL12 following nicotine treatment recruited CD4(+) T cells. Above all, nicotine deteriorated periodontitis partially by promoting PDL cell-CD4(+) T cell-mediated inflammatory response and matrix degradation.

Nicotine favors osteoclastogenesis in human periodontal ligament cells co-cultured with CD4(+) T cells by upregulating IL-1ß.

Periodontitis, which is the main cause of tooth loss, is one of the most common chronic oral diseases in adults. Tooth loss is mainly a result of alveolar bone resorption, which reflects an increased osteoclast formation and activation. Osteoclast formation in periodontal tissue is a multistep process driven by osteoclastogenesis supporting cells such as human periodontal ligament (PDL) cells and CD4(+) T cells. Inflammatory cytokines, such as interleukin-1ß (IL-1ß), can induce osteoclastogenesis by affecting the expression of receptor activator of NF-κB ligand (RANKL) and osteoprotegerin (OPG) in human PDL cells. Nicotine, the major component in tobacco smoking and a specific agonist of the α7 nicotinic acetylcholine receptor (α7 nAChR), has been proven to regulate the expression of inflammatory cytokines in smoking-associated periodontitis. In this study, we investigated the mechanism(s) through which nicotine affects osteoclastogenesis in human PDL cells co-cultured/non-co-cultured with CD4(+) T cells. Human PDL cells were stimulated with nicotine (10-5 M) and/or α-bungarotoxin (α-BTX, specific antagonist of α7 nAChR, 10-8 M) before being co-cultured with CD4(+) T cells. Compared with mono-culture systems, stimulation with nicotine caused an increased secretion of IL-1ß in serum of human PDL cell-CD4(+) T cell co-culture, and the expression of RANKL in human PDL cells was further upregulated co-cultured with CD4(+) T cells, while no differences were observed in the expression of OPG between the co-culture and mono-culture systems. Our data suggested that nicotine upregulated IL-1ß secretion, further upregulated RANKL expression in smoking-associated periodontitis, which may aid in the better understanding of the relationship between nicotine and alveolar bone resorption.