Explore the vast range of titles available.

Pancreatic cancer (PC) is a lethal malignant tumor of the digestive system with a low survival rate. Current therapies provide only modest benefits for patients and new therapeutic options are urgently needed. Schisandrin B (Sch B) has demonstrated novel antitumor activity in several preclinical models; however, its effects on PC remain unclear. In the present study, the anti-proliferative effects of Sch B in vitro were evaluated in PC cell lines. The underlying molecular mechanisms were explored using RNA sequencing, drug affinity responsive target stability (DARTS), molecular docking and small interfering RNA transfection. The antitumor effects of Sch B in vivo were evaluated using both a subcutaneous xenograft mouse model and an orthotopic genetically engineered mouse model. The in vitro studies showed that Sch B significantly inhibited the proliferation of PC cells and induced cell death in a dose-dependent manner. Mechanistically, transcriptome Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that differentially expressed genes were significantly enriched in the 'ferroptosis' signaling pathway. Sch B triggered ferroptosis by promoting iron overload, lipid peroxidation and glutathione (GSH) depletion, as well as regulating the expression of ferroptosis-related proteins [including GSH peroxidase 4, solute carrier family 3 member 2, acyl-CoA synthetase long-chain family member 4 (ACSL4), γ-glutamyl-cysteine ligase catalytic subunit and GSH synthetase]. Furthermore, pre-treatment with the ferroptosis inhibitor ferrostatin-1 partially reversed the anti-proliferative effects and ferroptosis-related events induced by Sch B. DARTS assays and molecular docking analyses confirmed the direct interaction between Sch B and ACSL4. Notably, silencing ACSL4 expression also partially reversed the anti-proliferative effects and ferroptosis-related events induced by Sch B. The in vivo studies demonstrated that Sch B suppressed tumor growth in subcutaneous xenograft models with good biosafety, and inhibited metastasis in orthotopic genetically engineered mice. In conclusion, Sch B may exert anti-proliferative effects at least partially by inducing ACSL4-dependent ferroptosis in PC.

Psoralea corylifolia L. (PCL) is an annual herb of the genus Psoralea in the family Fabaceae, and its mature fruit can be used medicinally as a precious medicinal herb to tonify muscles and bones. With the deepening of research, its applications to various industries, including food, agriculture, and cosmetics, with products being developed in countries such as Vietnam, India, and Japan. A total of 321 metabolites, including coumarins, flavonoids, meroterpenes, benzofurans, and dimers, were identified in PCL. PCL and related products have demonstrated therapeutic effects, such as antiosteoporosis effects, estrogen-like effects, anti-inflammatory properties, neuroprotection, antitumor activity, and vitiligo treatment. The expression mechanisms of these pharmacological effects are closely related to the regulation of the immune system, the inhibition of oxidative stress, and the induction of apoptosis. This paper summarizes the latest research on the ethnobotany, phytochemistry, processing technology, pharmacology, and hepatotoxicity of PCL. Furthermore, bibliometric analysis was used to systematically analyze the research hotspots and trends in PCL, which have never been addressed in previous reviews of PCL. In the future, it will be necessary to focus on the active metabolites of PCL, analyze its targets and signaling pathway network to address potential toxicity and side effects in clinical applications, and further expand the potential application of PCL in medicine.

Background Glioblastoma (GBM), the most aggressive primary brain tumor, has a dismal prognosis largely due to therapy-resistant stem-like cells that drive recurrence. While N6-methyladenosine modifications in GBM are well-studied, the role of 5-methylcytosine (m 5 C) modifications specifically in circular RNAs (circRNAs) remains poorly understood. Methods Bioinformatic analysis, qRT-PCR and Western blot assays were used to investigate the expression of NSUN7, circNTRK2, YBX3, STK31, IKZF1 in GBM tissues and cell lines. m 5 C dot blot assays, m 5 C-bisulfite sequence assays, Sanger’s sequencing, RNA pull down and RIP assays, in vitro kinase assays, chromatin immunoprecipitation and luciferase reporter gene assays are used to clarify the interaction between factors above. Colony formation assays, sphere formation assays, and stemness marker (OCT4, DCLK1) analysis were utilized to assess the impact of the factors above on GBM stemness. Subcutaneous heterotopic and orthotopic xenograft are utilized to demonstrate the function of YBX3/circNTRK2/STK31/IKZF1 axis in GBM in vivo. Results NSUN7 and YBX3 are both upregulated in GBM tissues and cell lines. NSUN7 catalyzes m 5 C modification of circNTRK2. YBX3 decreasing circNTRK2 stability and function via binding m 5 C of circNTRK2. CircNTRK2 binds to and activates STK31, leading to phosphorylation of IKZF1 at S 63 , which decreases the O -GlcNAc levels and transcriptional activity of IKZF1, thereby promoting the stem cell characteristics of GBM cells. Conclusions This study unveils that NSUN7-mediated m 5 C modification of circNTRK2 fuels GBM stemness via circNTRK2-dependent STK31 activation, thus identifying potential biomarkers for targeted molecular therapy of GBM and providing novel therapeutic targets for GBM treatment.

Baolier Capsule (BLEC) is a Traditional Mongolian Medicine comprising fifteen herbs. This study aims to illustrate the synergistic mechanism of BLEC in the treatment of Coronary Artery Disease (CAD) by using network pharmacology method, molecular docking and experimental validation. Searching and screening the active ingredients of different herbs in BLEC and target genes related to CAD in multiple databases. Subsequently, Protein-Protein Interactions Network (PPI-Net), gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment were used to identify the key targets. AutoDock was used to verify the binding ability between the active ingredient and key target through molecular docking. Reverse Transcription-Quantitative Real-Time Polymerase Chain Reaction (RT-qPCR) was used to verify the effect of active ingredient of BLEC on the key target gene. Finally, effect of BLEC on the degree of blood lipids and atherosclerosis was validated by animal experiment. There are 144 active components and 80 CAD-related targets that are identified in BLEC in the treatment of CAD. What is more, 8 core genes were obtained by clustering and topological analysis of PPI-Net. Further, GO and KEGG analysis showed that fluid shear stress and atherosclerosis are the key pathways for BLEC to treat CAD. These results were validated by molecular docking method. In vitro, active compounds of BLEC (Quercetin, luteolin, kaempferol, naringenin, tanshinone IIA, β-carotene, 7-O-methylisomucronulatol, piperine, isorhamnetin and Xyloidone) can inhibit 8 core gene (AKT1, EGFR, FOS, MAPK1, MAPK14, STAT3, TP53 and VEGFA) expression. Moreover, BLEC not only improve blood lipid levels but also inhibit the development of atherosclerosis in ApoE-knockout mice. Our research first revealed the basic pharmacological effects and related mechanisms of in the treatment of CAD. The predicted results provide some theoretical support for BLEC or its important active ingredients to treat CAD.

Objective: Baolier Capsule (BLEC) is a Traditional Mongolian Medicine comprising fifteen herbs. This study aims to illustrate the synergistic mechanism of BLEC in the treatment of Coronary Artery Disease (CAD) by using network pharmacology method, molecular docking and experimental validation. Methods: Searching and screening the active ingredients of different herbs in BLEC and target genes related to CAD in multiple databases. Subsequently, Protein-Protein Interactions Network (PPI-Net), gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment were used to identify the key targets. AutoDock was used to verify the binding ability between the active ingredient and key target through molecular docking. Reverse Transcription-Quantitative Real-Time Polymerase Chain Reaction (RT-qPCR) was used to verify the effect of active ingredient of BLEC on the key target gene. Finally, effect of BLEC on the degree of blood lipids and atherosclerosis was validated by animal experiment. Results: There are 144 active components and 80 CAD-related targets that are identified in BLEC in the treatment of CAD. What is more, 8 core genes were obtained by clustering and topological analysis of PPI-Net. Further, GO and KEGG analysis showed that fluid shear stress and atherosclerosis are the key pathways for BLEC to treat CAD. These results were validated by molecular docking method. In vitro, active compounds of BLEC (Quercetin, luteolin, kaempferol, naringenin, tanshinone IIA, [beta]-carotene, 7-O-methylisomucronulatol, piperine, isorhamnetin and Xyloidone) can inhibit 8 core gene (AKT1, EGFR, FOS, MAPK1, MAPK14, STAT3, TP53 and VEGFA) expression. Moreover, BLEC not only improve blood lipid levels but also inhibit the development of atherosclerosis in ApoE-knockout mice. Conclusion: Our research first revealed the basic pharmacological effects and related mechanisms of in the treatment of CAD. The predicted results provide some theoretical support for BLEC or its important active ingredients to treat CAD. Keywords: coronary artery disease, Baolier capsule, traditional Mongolian medicine, network pharmacology, experimental validation

Objective: Baolier Capsule (BLEC) is a Traditional Mongolian Medicine comprising fifteen herbs. This study aims to illustrate the synergistic mechanism of BLEC in the treatment of Coronary Artery Disease (CAD) by using network pharmacology method, molecular docking and experimental validation. Methods: Searching and screening the active ingredients of different herbs in BLEC and target genes related to CAD in multiple databases. Subsequently, Protein-Protein Interactions Network (PPI-Net), gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment were used to identify the key targets. AutoDock was used to verify the binding ability between the active ingredient and key target through molecular docking. Reverse Transcription-Quantitative Real-Time Polymerase Chain Reaction (RT-qPCR) was used to verify the effect of active ingredient of BLEC on the key target gene. Finally, effect of BLEC on the degree of blood lipids and atherosclerosis was validated by animal experiment. Results: There are 144 active components and 80 CAD-related targets that are identified in BLEC in the treatment of CAD. What is more, 8 core genes were obtained by clustering and topological analysis of PPI-Net. Further, GO and KEGG analysis showed that fluid shear stress and atherosclerosis are the key pathways for BLEC to treat CAD. These results were validated by molecular docking method. In vitro, active compounds of BLEC (Quercetin, luteolin, kaempferol, naringenin, tanshinone IIA, [beta]-carotene, 7-O-methylisomucronulatol, piperine, isorhamnetin and Xyloidone) can inhibit 8 core gene (AKT1, EGFR, FOS, MAPK1, MAPK14, STAT3, TP53 and VEGFA) expression. Moreover, BLEC not only improve blood lipid levels but also inhibit the development of atherosclerosis in ApoE-knockout mice. Conclusion: Our research first revealed the basic pharmacological effects and related mechanisms of in the treatment of CAD. The predicted results provide some theoretical support for BLEC or its important active ingredients to treat CAD. Keywords: coronary artery disease, Baolier capsule, traditional Mongolian medicine, network pharmacology, experimental validation

BACKGROUND: Glioblastoma (GBM), the most aggressive primary brain tumor, has a dismal prognosis largely due to therapy-resistant stem-like cells that drive recurrence. While N6-methyladenosine modifications in GBM are well-studied, the role of 5-methylcytosine (m5C) modifications specifically in circular RNAs (circRNAs) remains poorly understood. METHODS: Bioinformatic analysis, qRT-PCR and Western blot assays were used to investigate the expression of NSUN7, circNTRK2, YBX3, STK31, IKZF1 in GBM tissues and cell lines. m5C dot blot assays, m5C-bisulfite sequence assays, Sanger’s sequencing, RNA pull down and RIP assays, in vitro kinase assays, chromatin immunoprecipitation and luciferase reporter gene assays are used to clarify the interaction between factors above. Colony formation assays, sphere formation assays, and stemness marker (OCT4, DCLK1) analysis were utilized to assess the impact of the factors above on GBM stemness. Subcutaneous heterotopic and orthotopic xenograft are utilized to demonstrate the function of YBX3/circNTRK2/STK31/IKZF1 axis in GBM in vivo. RESULTS: NSUN7 and YBX3 are both upregulated in GBM tissues and cell lines. NSUN7 catalyzes m5C modification of circNTRK2. YBX3 decreasing circNTRK2 stability and function via binding m5C of circNTRK2. CircNTRK2 binds to and activates STK31, leading to phosphorylation of IKZF1 at S63, which decreases the O-GlcNAc levels and transcriptional activity of IKZF1, thereby promoting the stem cell characteristics of GBM cells. CONCLUSIONS: This study unveils that NSUN7-mediated m5C modification of circNTRK2 fuels GBM stemness via circNTRK2-dependent STK31 activation, thus identifying potential biomarkers for targeted molecular therapy of GBM and providing novel therapeutic targets for GBM treatment.

Background. YiQi YangYin Decoction (YQ) is a modern Chinese formula composed by the guidance of traditional Chinese medicine theory, which consists of nine traditional Chinese medicines and is applied to treat type 2 diabetes mellitus (T2DM) with nonalcoholic fatty liver in clinic in China for more than a decade. This study aims to evaluate the antidiabetes and lipid-lowering effect of YQ and explore the possible mechanisms of this action. Methods. T2DM rat models were established and given YQ at three different doses for three weeks. Tissues, including pancreas islet and liver, and blood serum were collected. The levels of fasting blood glucose (FBG), fasting insulin (Fins), lipid index, such as total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL), and low-density lipoprotein (LDL), and hepatic function index such as alanine aminotransferase (ALT), aspartate aminotransferase (AST), and alkaline phosphatase (ALP) in serum were measured. Pancreas islet damage and liver damage were observed by hematoxylin and eosin staining. The glycogen content and lipid accumulation in liver were determined by periodic acid-Schiff (PAS) staining and Oil Red O staining. The expression levels of insulin receptor substrate 2 (IRS-2), phosphatidylinositol 3 kinase-associated p85alpha (PI3K p85α), AKT, and Glucose Transporter 2 (Glut4) in pancreas islet and AMP-activated protein kinase alpha (AMPKα), sterol regulatory element-binding protein 1c (SREBP1c), acetyl-CoA carboxylase (ACC1), and peroxisome proliferator‐activated receptor-α (PPARα) in liver were determined by western blotting. The relative expressions of ACC1, fatty acid synthase (FAS), stearoyl-CoA desaturase 1 (SCD1), carnitine palmityl transferase-1 (CPT-1), and SREBP-1 mRNA were detected by qRT-PCR. Results. After administering YiQi for three weeks, the levels of fast blood glucose, fasting insulin, TC, TG, LDL, ALT, AST, and ALP were significantly decreased, while HDL significantly increased compared with the model group. YQ could obviously attenuate pancreatic damage and improve islet α- and ß-cell survival compared with the model group. Furthermore, YQ could attenuate hepatic damage caused by lipid accumulation, decrease the content of lipid, and increase the hepatic glycogen content, compared with the model group. In addition, YQ remarkably elevated the proteins expression of p-PI3K, p-AKT, and GLUT4 in pancreas islet and elevated the proteins expression of p-PI3K, p-AKT, GLUT4, p-AMPK, SREBP1, and PPARα and inhibited the expression of p-ACC1 in liver. Besides, YQ reduced the relative expression of ACC1, FAS, SERBP-1c, and SCD mRNA along with the decreased production of CPT-1 mRNA. Conclusions. YQ could attenuate type 2 diabetes mellitus by improving islet α- and ß-cells via IRS-2/AKT/GLUT4 pathway and nonalcoholic fatty liver by ameliorating lipid accumulation via AMPK/PPARα/SREBP1/ACC1 pathway.

Sagacious Confucius’ Pillow Elixir (SCPE) is a traditional Chinese medicine that is mainly used for cognitive impairment in aging; however, the underlying mechanisms remain unclear. Aging is one of the most important pathogenic factors leading to inflammation and pyroptosis in the hippocampus, which may be a potential mechanism in elderly patients with cognitive impairment. Here, we examined whether SCPE could improve cognitive impairment in SAMP8 mice by reducing hippocampal inflammation and pyroptosis. Seven-month-old senescence-accelerated P8 mice (SAMP8) received SCPE (2.3 g/kg/day; 4.6 g/kg/day; 9.2 g/kg/day) for 28 days. Cognitive function and morphometric examinations were performed followed by water maze testing, hematoxylin-eosin staining, Congo red staining, toluidine blue staining, and TUNEL analysis of hippocampal CA1 and CA3 regions. Escape latency increased and times across platforms decreased in SAMP8 mice; however, both of them were normalized by SCPE after 28 days. Aging caused significant pyroptosis in hippocampal CA1 and CA3 regions, as evidenced by neuronal degeneration and necrosis, amyloid deposition, and decreased Nissl body amounts after cognitive impairment, which were greatly improved by SCPE. SCPE reduced serum IL-1β, IL-6, IL-18, and TNF-α levels and reduced hippocampal NLRP3, ASC, caspase-1, GSDM-D, IL-1β, IL-6, IL-18, and Aβ expression. Thus, SCPE exerts an antipyroptotic effect in aging, mainly by suppressing the NLRP3/caspase-1 signaling pathway.

Voice Conversion (VC) modifies speech to match a target speaker while preserving linguistic content. Traditional methods usually extract speaker information directly from speech while neglecting the explicit utilization of linguistic content. Since VC fundamentally involves disentangling speaker identity from linguistic content, leveraging structured semantic features could enhance conversion performance. However, previous attempts to incorporate semantic features into VC have shown limited effectiveness, motivating the integration of explicit text modeling. We propose StarVC, a unified autoregressive VC framework that first predicts text tokens before synthesizing acoustic features. The experiments demonstrate that StarVC outperforms conventional VC methods in preserving both linguistic content (i.e., WER and CER) and speaker characteristics (i.e., SECS and MOS). Audio demo can be found at: https://thuhcsi.github.io/StarVC/.