In order to explore the expression of TRAIL in primary acute leukemic cells and the effect of chemotherapeutic drug on TRAIL expression in acute leukemic cells, the expression of TRAIL was assessed by flow cytometry on day 0, day 1, day 3 and day 5 in 16 patients with acute leukemia received chemotherapy. Meanwhile, the bone marrow mononuclear cells of acute leukemia patients were cultured in vitro with VP-16 and INFalpha-2a. Expression of TRAIL was analyszed by flow cytometry at 24, 48 and 72 hours after treatment. The results showed that the expression of TRAIL in the peripheral blood mononuclear cells was upregulated significantly from day 1 after chemotherapy (P < 0.05). In in vitro culture test, VP-16 upregulated the expression of TRAIL on acute leukemia bone marrow mononuclear cells (P < 0.05). Compared with VP-16 alone, the combination of VP-16 with IFNalpha-2a showed no synergic effects on the expression of TRAIL. It is concluded that the expression of TRAIL increases after chemotherapy in vivo and after treatment with VP-16 and IFN in vitro, which suggests that the apoptosis induced by TRAIL may play an important role in chemotherapy of leukemia.
Acute Disease ; Antineoplastic Agents ; pharmacology ; therapeutic use ; Bone Marrow Cells ; metabolism ; Etoposide ; pharmacology ; Humans ; Interferon-alpha ; pharmacology ; Leukemia ; drug therapy ; metabolism ; pathology ; TNF-Related Apoptosis-Inducing Ligand ; biosynthesis ; genetics ; Tumor Cells, Cultured

The aim of this study was to explore the expression of beta-catenin in acute leukemia bone marrow cells and its role in the development of acute leukemia. The expression of beta-catenin of bone marrow cells was detected by immunocytochemistry and flow cytometry in 20 cases of newly diagnosed acute leukemia. Meanwhile the expression of the proliferating index Ki-67 was detected by immunocytochemistry. The results showed that the expression of beta-catenin and Ki-67 in acute leukemia bone marrow cells was significantly higher than those in control group (P < 0.05). The migration of beta-catenin from cytoplasm to nuclear was observed in acute leukemia bone marrow cells. There was a positive correlation between the expressions of beta-catenin and Ki-67 in all the cases and the Pearson correlation coefficient was 0.845. In conclusion, the expression of beta-catenin was significantly high in acute leukemia bone marrow cells and showed a positive correlation with the cell proliferation. It suggests that beta-catenin may be involved in the development of acute leukemia through promoting the excessive proliferation of cells.
Acute Disease ; Bone Marrow Cells ; metabolism ; Flow Cytometry ; Humans ; Immunohistochemistry ; Ki-67 Antigen ; analysis ; Leukemia ; metabolism ; pathology ; beta Catenin ; analysis

Marine microorganisms, especially marine fungi, have historically proven their value as a prolific source for structurally novel and pharmacologically active secondary metabolites (Deshmukh et al., 2018; Carroll et al., 2022). The corals constitute a dominant part of reefs with the highest biodiversity, and harbor highly diverse and abundant microbial symbionts in their tissue, skeleton, and mucus layer, with species-specific core members that are spatially partitioned across coral microhabitats (Wang WQ et al., 2022). The coral-associated fungi were very recently found to be vital producers of structurally diverse compounds, terpenes, alkaloids, peptides, aromatics, lactones, and steroids. They demonstrate a wide range of bioactivity such as anticancer, antimicrobial, and antifouling activity (Chen et al., 2022). The genetically powerful genus Emericella (Ascomycota), which has marine and terrestrial sources, includes over 30 species and is distributed worldwide. It is considered a rich source of diverse secondary metabolites with antimicrobial activity or cytotoxicity (Alburae et al., 2020). Notably, Emericella nidulans, the sexual state of a classic biosynthetic strain Aspergillus nidulans, was recently reported as an important source of highly methylated polyketides (Li et al., 2019) and isoindolone-containing meroterpenoids (Zhou et al., 2016) with unusual skeletons.
Animals ; Aspergillus nidulans ; Polyketides/chemistry* ; Anthozoa/microbiology* ; Anti-Infective Agents/pharmacology* ; Alkaloids

Total glucosides of Rhizoma Smilacis Glabrae (RSG) are selective immunosuppressants that exhibit primary efficacy in the treatment of rheumatoid arthritis through targeted inhibition of activated T cells. In this study, we aimed to investigate the potential application of RSG in the treatment of psoriasis and elucidate its mechanism of action and material basis. Our findings revealed significant improvements upon administration of RSG in an imiquimod (IMQ)-induced psoriasis model. These improvements were characterized by a remarkable increase in the number of tail scales in mice and a substantial amelioration of skin erythema, ulceration, and flaking. By transcriptome sequencing and T-cell flow sorting assay, we identified notable effects of RSG on the modulation of various cellular processes. Specifically, RSG prominently down-regulated the Th17/Treg ratio in damaged skin tissues and reduced the proportion of G₂ phase cells. Furthermore, RSG exhibited a stimulatory effect on the proliferation and differentiation of epithelial cells. Of particular interest, we discovered that β-sitosterol, sitostenone, stigmasterol, smiglanin, and cinchonain Ib displayed potent inhibitory effects on the IL-17-mediated inflammatory response in HaCaT cells. In summary, our study highlights the therapeutic potential of RSG in the treatment of psoriasis, attributed to its ability to regulate the Th17/Treg balance. These findings contribute to the development of new indications for RSG and provide a solid theoretical foundation for further exploration in this field.
Animals ; Mice ; T-Lymphocytes, Regulatory ; Psoriasis/drug therapy* ; Arthritis, Rheumatoid ; Biological Assay ; Glucosides/pharmacology*

BACKGROUND: An artificial intelligence system of Faster Region-based Convolutional Neural Network (Faster R-CNN) is newly developed for the diagnosis of metastatic lymph node (LN) in rectal cancer patients. The primary objective of this study was to comprehensively verify its accuracy in clinical use. METHODS: Four hundred fourteen patients with rectal cancer discharged between January 2013 and March 2015 were collected from 6 clinical centers, and the magnetic resonance imaging data for pelvic metastatic LNs of each patient was identified by Faster R-CNN. Faster R-CNN based diagnoses were compared with radiologist based diagnoses and pathologist based diagnoses for methodological verification, using correlation analyses and consistency check. For clinical verification, the patients were retrospectively followed up by telephone for 36 months, with post-operative recurrence of rectal cancer as a clinical outcome; recurrence-free survivals of the patients were compared among different diagnostic groups, by methods of Kaplan-Meier and Cox hazards regression model. RESULTS: Significant correlations were observed between any 2 factors among the numbers of metastatic LNs separately diagnosed by radiologists, Faster R-CNN and pathologists, as evidenced by rradiologist-Faster R-CNN of 0.912, rPathologist-radiologist of 0.134, and rPathologist-Faster R-CNN of 0.448 respectively. The value of kappa coefficient in N staging between Faster R-CNN and pathologists was 0.573, and this value between radiologists and pathologists was 0.473. The 3 groups of Faster R-CNN, radiologists and pathologists showed no significant differences in the recurrence-free survival time for stage N0 and N1 patients, but significant differences were found for stage N2 patients. CONCLUSION: Faster R-CNN surpasses radiologists in the evaluation of pelvic metastatic LNs of rectal cancer, but is not on par with pathologists. TRIAL REGISTRATION www.chictr.org.cn (No. ChiCTR-DDD-17013842).
Adult ; Aged ; Aged, 80 and over ; Artificial Intelligence ; Female ; Humans ; Lymphatic Metastasis ; Male ; Middle Aged ; Neoplasm Recurrence, Local ; Neoplasm Staging ; Neural Networks (Computer) ; Pathologists ; Radiologists ; Rectal Neoplasms ; diagnostic imaging ; mortality ; pathology