Cycle Pathways Research Articles

Decoding the possible mechanism of action of Paeoniflorigenone in combating Aflatoxin B1-induced liver cancer: an investigation using network pharmacology and bioinformatics analysis

Moutan cortex has demonstrated antitumor properties attributed to its bioactive compound Paeoniflorigenone (PA). Nevertheless, there is limited research on the efficacy of PA in the prevention and treatment of hepatocellular carcinoma (HCC). We aimed to investigate the potential pharmacological mechanisms of PA in the treatment of Aflatoxin B1 (AFB1)-induced hepatocarcinogenesis using network pharmacology and bioinformatics analysis approaches. Through various databases and bioinformatics analysis approaches, 34 shared targets were identified as potential candidate genes for PA in fighting liver cancer caused by AFB1. Pathway analysis revealed involvement in cell cycle, HIF-1, and Rap1 pathways. A risk assessment model was developed using LASSO regression, showing an association between the identified genes and the tumor immune microenvironment. The genes within the risk model were found to be linked to the immune response in liver cancer. Molecular docking studies indicated that PA interacts with its targets through hydrogen bonding and hydrophobic interactions. This study provides insights into the possible mechanisms of PA in liver cancer treatment and offers a predictive model for assessing the risk level of individuals with liver cancer. These findings have significant implications for the therapeutic strategies in managing liver cancer patients.

Single cell RNA-seq reveals cellular and transcriptional heterogeneity in the splenic CD11b+Ly6Chigh monocyte population expanded in sepsis-surviving mice.

Sepsis survivors exhibit immune dysregulation that contributes to poor long-term outcomes. Phenotypic and functional alterations within the myeloid compartment are believed to be a contributing factor. Here we dissect the cellular and transcriptional heterogeneity of splenic CD11b+Ly6Chigh myeloid cells that are expanded in mice that survive the cecal ligation and puncture (CLP) murine model of polymicrobial sepsis to better understand the basis of immune dysregulation in sepsis survivors. Sham or CLP surgeries were performed on C57BL/6J and BALB/c mice. Four weeks later splenic CD11b+Ly6Chigh cells from both groups were isolated for phenotypic (flow cytometry) and functional (phagocytosis and glycolysis) characterization and RNA was obtained for single-cell RNA-seq (scRNA-seq) and subsequent analysis. CD11b+Ly6Chigh cells from sham and CLP surviving mice exhibit phenotypic and functional differences that relate to immune function, some of which are observed in both C57BL/6J and BALB/c strains and others that are not. To dissect disease-specific and strain-specific distinctions within the myeloid compartment, scRNA-seq analysis was performed on CD11b+Ly6Chigh cells from C57BL/6J and BALB/c sham and CLP mice. Uniform Manifold Approximation and Projection from both strains identified 13 distinct clusters of sorted CD11b+Ly6Chigh cells demonstrating significant transcriptional heterogeneity and expressing gene signatures corresponding to classical-monocytes, non-classical monocytes, M1- or M2-like macrophages, dendritic-like cells, monocyte-derived dendritic-like cells, and proliferating monocytic myeloid-derived suppressor cells (M-MDSCs). Frequency plots showed that the percentages of proliferating M-MDSCs (clusters 8, 11 and 12) were increased in CLP mice compared to sham mice in both strains. Pathway and UCell score analysis in CLP mice revealed that cell cycle and glycolytic pathways were upregulated in proliferating M-MDSCs in both strains. Notably, granule protease genes were upregulated in M-MDSCs from CLP mice. ScRNA-seq analyses also showed that phagocytic pathways were upregulated in multiple clusters including the classical monocyte cluster, confirming the increased phagocytic capacity in CD11b+Ly6Chigh cells from CLP mice observed in ex vivo functional assays in C57BL/6J mice. The splenic CD11b+Ly6Chigh myeloid populations expanded in survivors of CLP sepsis correspond to proliferating cells that have an increased metabolic demand and gene signatures consistent with M-MDSCs, a population known to have immunosuppressive capacity.

GLIS3: a novel transcriptional regulator of mitochondrial functions and metabolic reprogramming in postnatal kidney and polycystic kidney disease

Background and aimsDeficiency in the transcription factor (TF) GLI-Similar 3 (GLIS3) in humans and mice leads to the development of polycystic kidney disease (PKD). In this study, we investigate the role of GLIS3 in the regulation of energy metabolism and mitochondrial functions in relation to its role in normal kidney and metabolic reprogramming in PKD pathogenesis. Approach and resultsTranscriptomics, cistromics, and metabolomics were used to obtain insights into the role of GLIS3 in the regulation of energy homeostasis and mitochondrial metabolism in normal kidney and PKD pathogenesis using GLIS3-deficient mice. Transcriptome analysis showed that many genes critical for mitochondrial biogenesis, oxidative phosphorylation (OXPHOS), fatty acid oxidation (FAO), and the tricarboxylic acid (TCA) cycle, including Tfam, Tfb1m, Tfb2m, Ppargc1a, Ppargc1b, Atp5j2, Hadha, and Sdha, are significantly suppressed in kidneys from both ubiquitous and tissue-specific Glis3-deficient mice. ChIP-Seq analysis demonstrated that GLIS3 is associated with the regulatory region of many of these genes, indicating that their transcription is directly regulated by GLIS3. Cistrome analyses revealed that GLIS3 binding loci frequently located near those of hepatocyte nuclear factor 1-Beta (HNF1B) and nuclear respiratory factor 1 (NRF1) suggesting GLIS3 regulates transcription of many metabolic and mitochondrial function-related genes in coordination with these TFs. Seahorse analysis and untargeted metabolomics corroborated that mitochondrial OXPHOS utilization is suppressed in GLIS3-deficient kidneys and showed that key metabolites in glycolysis, TCA cycle, and glutamine pathways were altered indicating increased reliance on aerobic glycolysis and glutamine anaplerosis. These features of metabolic reprogramming may contribute to a bioenergetic environment that supports renal cyst formation and progression in Glis3-deficient mice kidneys. ConclusionsWe identify GLIS3 as a novel positive regulator of the transition from aerobic glycolysis to OXPHOS in normal early postnatal kidney development by directly regulating the transcription of mitochondrial metabolic genes. Loss of GLIS3 induces several features of renal cell metabolic reprogramming. Our study identifies GLIS3 as a new participant in an interconnected transcription regulatory network, that includes HNF1B and NRF1, critical in the regulation of mitochondrial-related gene expression and energy metabolism in normal postnatal kidneys and PKD pathogenesis in Glis3-deficient mice.

The Decreased Proliferation Capacity of Cardiomyocytes Induced By Androsterone Is Mediated By the Interactions Between Androgen Receptor and Retinoblastoma Protein.

Our previous study has demonstrated that the decline in cardiomyocytes proliferation capacity induced by maternal androgen excess was mainly attributed to the accumulation of androsterone in the heart. However, the underlying mechanism by which androsterone inhibits cardiomyocytes proliferation remains unknown. In this study, pregnant mice were injected subcutaneously daily with dihydrotestosterone (DHT) from gestational day (GD) 16.5 to GD18.5. On GD18.5, fetal heart tissue was dissected and used for analyzing androgen receptor (AR) levels. H9c2 cells and primary cardiomyocytes, isolated from fetal hearts, were applied to investigate the mechanism. H9c2 cells under androsterone treatment were subjected to RNA sequencing analysis and the results showed that genes were primarily enriched in cell cycle and DNA replication pathways. Elevated AR levels were observed in fetal cardiac tissue in the maternal DHT-treated group. Androsterone treatment increased the ratio of nuclear AR and cytoplasmic AR both in H9c2 cells and primary cardiomyocytes. The ablation and overexpression of AR can mildly reverse and aggravate cell cycle arrest induced by androsterone, respectively. ChIP-qPCR analysis suggested that AR can directly repress cell cycle and DNA replication-related gene expression, which was mediated by the recruitment of retinoblastoma protein (Rb). The repression of cell proliferation in response to androsterone was alleviated partly through the downregulation of Rb by siRNA transfection. In conclusion, AR repression to cell cycle and DNA replication-related gene expression, mediated by recruitment of Rb, may be one of the potential mechanisms of cell cycle arrest in cardiomyocytes induced by androsterone.

Investigating the mechanisms of resveratrol in the treatment of gouty arthritis through the integration of network pharmacology and metabolics

ObjectiveThis study integrates network pharmacology and metabolomics techniques to explore the potential regulatory mechanisms of Res on gouty arthritis (GA).MethodsNetwork pharmacology was used to predict the mechanism of Res in regulating GA, and methods such as HE staining, ELISA, immunohistochemistry, Real-time PCR, Western blot, and molecular docking were used to verify the role of NF-κB, MAPK, and JAK/STAT inflammatory signaling pathways in the MSU-induced GA rat model. In addition, non-targeted metabolomics techniques were combined to further investigate the mechanism of Res in treating GA.ResultsThe results of network pharmacology showed that Res may exert its therapeutic effects through the NF-κB signaling pathway. Animal experiments demonstrated that in the MSU-induced GA rat model, pathological damage, serum biochemical indicators, and levels of inflammatory factors were significantly increased, and the NF-κB signaling pathway was activated. The intervention of Res significantly reduced pathological damage, serum biochemical indicators, levels of inflammatory factors, and the activation of NF-κB, MAPK, and JAK/STAT signaling pathways in the model rats. Metabolomics results showed that Res could improve the metabolic trajectory deviations in serum and joint fluid of GA model rats. Through related metabolic pathway analysis, the most affected metabolic pathways were found to be Sphingolipid metabolism, Glycerophospholipid metabolism, Phenylalanine, tyrosine and tryptophan biosynthesis, Pantothenate and CoA, Citrate cycle (TCA cycle), and Arachidonic acid metabolism.ConclusionResveratrol can regulate the biosynthetic pathways of arachidonic acid, phenylalanine, tyrosine, and tryptophan, pantothenic acid and CoA biosynthesis pathways, TCA cycle, and other metabolic pathways, thereby regulating the NF-κB, MAPK, and JAK/STAT3 signaling pathways, and inhibiting the acute inflammatory response during GA attacks, showing characteristics of multi-pathway and multi-target action.

LncRNA evf-2 Exacerbates Podocyte Injury in Diabetic Nephropathy by Inducing Cell Cycle Re-entry and Inflammation Through Distinct Mechanisms Triggered by hnRNPU.

Albuminuria is a hallmark of diabetic nephropathy (DN). Podocyte injury significantly contributes to proteinuria in DN. Our study found that lncRNA EVF-2 is upregulated in podocytes of DN patients, correlating with cell cycle re-entry and inflammation. Specific knockout or knockdown of lncRNA evf-2 in diabetic mice or cultured podocytes alleviated podocyte injury associated with these processes. RNA sequencing of evf-2-overexpressing podocytes unveiled a predominant enrichment of upregulated mRNAs in cell cycle and inflammation pathways, with alternative splicing in cell cycle-related mRNAs Ccnb1 and Tacc3. Chromatin isolation by RNA purification-mass spectrometry (ChIRP-MS) analysis highlighted the involvement of ribonucleoprotein complex and mRNA processing-related proteins, with hnRNPU as the main binding partner of evf-2 in spliceosomes. Knockdown of hnRNPU partially restored the upregulation of mRNAs induced by evf-2 overexpression, altering splice variants of Ccnb1 and Tacc3. This study is the first to reveal the splice variants of cell cycle-related genes in DN and elucidate the interaction between lncRNA evf-2 and hnRNPU. This interaction culminates in the upregulation of cell cycle-related genes and inflammatory factors through diverse pathways, potentially involving transcriptional activation, RNA stability modulation, alternative splicing or translational regulation. This highlights potential novel pathways for DN treatment.

Seed Priming with Dynamically Transformed Selenium Nanoparticles to Enhance Salt Tolerance in Rice.

Seed priming with nanomaterials is an emerging approach for improving plant stress tolerance. Here, we demonstrated a mechanism for enhancing salt tolerance in rice under salt stress via priming with nonstimulatory nanoparticles such as selenium nanoparticles (SeNPs), distinct from stimulatory nanomaterials. Due to the dynamic transformation ability of SeNPs, SeNP priming could enhance rice salt tolerance by mediating the glutathione cycle to eliminate excess reactive oxygen species (ROS). During priming, SeNPs penetrated rice seeds and transitioned into a soluble form (99.9%) within the embryo endosperm. Subsequently, the soluble selenium (Se) was transported to rice roots and metabolized into various Se-related derivatives, including selenomethionine (SeMet), Na2SeO3 (Se IV), selenocysteine (SeCys2), and methylselenocysteine (MeSeCys). These derivatives significantly enhanced the root activities of key enzymes such as glutathione peroxidase (GSH-PX), glutathione reductase (GR), catalase (CAT), peroxidase (POD), and superoxide dismutase (SOD) by 24.97%, 47.98%, 16.23%, 16.81%, and 14.82%, respectively, thus reinforcing the glutathione cycle and ROS scavenging pathways. Moreover, these alterations induced transcriptional changes in rice seedlings, with genes involved in signal transduction, transcription factors (TFs), ROS scavenging, and protein folding being upregulated, activating signal perception and self-repair mechanisms. These findings offer valuable insights for the agricultural application of nanomaterials.

Insights into the DNA methylation of Portunus trituberculatus in response to Vibrio parahaemolyticus infection

Vibrio parahaemolyticus is the main pathogen causing acute hepatopancreatic necrotic disease in crustaceans. To elucidate the epigenetic regulatory mechanism of crustacean resistance to V. parahaemolyticus infection, we conducted artificial infection studies on Portunus trituberculatus. The results showed that the mortality rate reached the highest at 12 h of artificial infection, which was 23.69 %. At 72 h after V parahaemolyticus infection, the expression level of DNA demethylase (ten-eleven-translocation protein) Tet was significantly decreased, the expression of DNA methyltransferase Dnmt3B fluctuated significantly. Based on the differential expression levels of Tet and Dnmt3B. We depict for DNA methylation profiles of the whole genome of P. trituberculatus at single-base resolution by using whole-genome bisulfite sequencing (WGBS) on hemolymph tissues. The overall DNA methylation level was low at 2.16% in P. trituberculatus hemolymph. A total of 2,590 differentially methylated regions (DMRs) were identified, of which 1,329 were hypermethylated and 1,261 were hypomethylated, and 1,389 genes were annotated in these DMRs. Differently methylated genes (DMGs) were significantly enriched in ribosomes (KO03010), protein kinases (KO01001), cell cycle (HSA04110), endocrine resistance (HSA01522) and FoxO signaling pathway (KO04068). Finally, we selected six differentially methylated genes for quantitative analysis. The results showed that DNA methylation not only has a negative regulatory effect on gene expression, but also has a positive regulatory effect. These results indicated that DNA methylation in the regulation of genes involved in immune responses contributes to the resistance of P. trituberculatus to V. parahaemolyticus, which is valuable for understanding how crustaceans regulate the innate immune system to defend against bacterial infections.

PTPN11 is a potential biomarker for type 2 diabetes mellitus complicated with colorectal cancer

Epidemiological surveys have shown that the incidence of type 2 diabetes mellitus (T2DM) and malignancies is rapidly increasing worldwide and has become a major disease that threatens human life. In this study, we quantitatively analyzed the proteome of tumor tissues and adjacent normal tissues from six patients withT2DM combined with colorectal cancer (CRC) and eight non-diabetic CRC, focusing on the effect of T2DM on tumor tissues. We analyzed the functional enrichment of differentially expressed proteins (DEPs) using clusterProfiler in R and the expression level of protein tyrosine phosphatase non-receptor type 11 (PTPN11) and other key proteins in the TIMER and GEPIA2 databases. The HPA database was used to validate PTPN11 protein expression. The correlation between PTPN11 expression and clinicopathological features was analyzed by UALCAN database. The impact of PTPN11 on clinical prognosis was evaluated utilizing Kaplan-Meier Plotter. The correlation between PTPN11 expression and tumor-infiltrated immune cells was investigated via TIMER and TISIDB databases. Gene set enrichment analysis (GSEA) was performed to examined the pathway of PTPN11 enrichment in CRC using data from The Cancer Genome Atlas (TCGA) database. Furthermore, small interfering (si) RNA was used to knock down PTPN11 in CRC cell line SW480. Western blot analysis was used to detect PTPN11 expression in tissue samples or cells and the effect of PTPN11 knockdown on key proteins related to PI3K/AKT and cell cycle pathway in SW480 cells. Cell proliferation and wound healing assays were used to detect the effects of cell proliferation and migration after knockdown of PTPN11 or treatment with high glucose. We found that metabolic pathways such as oxidative phosphorylation, glycolysis/gluconeogenesis, and insulin secretion were significantly enriched in tumor tissues from diabetic patients compared to non-diabetic patients. In addition, PTPN11, a marker gene associated with T2DM and CRC, were mined in diabetic tumor tissues. PTPN11 showed high expression in diabetic tumor tissues compared to normal tissues. High PTPN11 expression predicted poor prognosis in CRC. PTPN11 expression was strongly associated with immune infiltrating cells in CRC. GSEA analysis revealed that PTPN11 was enriched in cancer-related pathways. Western blotting analysis indicated that PTPN11 knockdown reduced the protein levels of p-PI3K, p-AKT, CDK1 and CYCLIN D, without altering PI3K and AKT protein levels. Cell proliferation and wound healing data showed that PTPN11 and high glucose could increase the proliferation and migration ability. These findings showed that PTPN11 may be a potential key biomarker for CRC in patients with diabetes, which will provide new potential targets for future intervention of T2DM complicated with CRC.

Integrated proteome and pangenome analysis revealed the variation of microalga Isochrysis galbana and associated bacterial community to 2,6-Di-tert-butyl-p-cresol (BHT) stress.

The phenolic antioxidant 2,6-Di-tert-butyl-p-cresol (BHT) has been detected in various environments and is considered a potential threat to aquatic organisms. Algal-bacterial interactions are crucial for maintaining ecosystem balance and elemental cycling, but their response to BHT remains to be investigated. This study analyzed the physiological and biochemical responses of the microalga Isochrysis galbana and the changes of associated bacterial communities under different concentrations of BHT stress. Results showed that the biomass of I. galbana exhibited a decreasing trend with increasing BHT concentrations up to 40mg/L. The reduction in chlorophyll, carotenoid, and soluble protein content of microalgal cells was also observed under BHT stress. The production of malondialdehyde and the activities of superoxide dismutase, peroxidase, and catalase were further determined. Scanning electron microscopy analysis revealed that BHT caused surface rupture of the algal cells and loss of intracellular nutrients. Proteomic analysis demonstrated the upregulation of photosynthesis and citric acid cycle pathways as a response to BHT stress. Additionally, BHT significantly increased the relative abundance of specific bacteria in the phycosphere, including Marivita, Halomonas, Marinobacter, and Alteromonas. Further experiments confirmed that these bacteria had the ability to utilize BHT as the sole carbon resource for growth, and genes related to the degradation of phenolic compounds were detected through pangenome analysis.

Engineering Yarrowia lipolytica to Produce l-Malic Acid from Glycerol.

The declining availability of cheap fossil-based resources has sparked growing interest in the sustainable biosynthesis of organic acids. l-Malic acid, a crucial four-carbon dicarboxylic acid, finds extensive applications in the food, chemical, and pharmaceutical industries. Synthetic biology and metabolic engineering have enabled the efficient microbial production of l-malic acid, albeit not in Yarrowia lipolytica, an important industrial microorganism. The present study aimed to explore the potential of this fungal species for the production of l-malic acid. First, endogenous biosynthetic genes and heterologous transporter genes were overexpressed in Y. lipolytica to identify bottlenecks in the l-malic acid biosynthesis pathway grown on glycerol. Second, overexpression of isocitrate lyase, malate synthase, and malate dehydrogenase in the glyoxylate cycle pathway and introduction of a malate transporter from Schizosaccharomyces pombe significantly boosted l-malic acid production, which reached 27.0 g/L. A subsequent increase to 37.0 g/L was attained through shake flask medium optimization. Third, adaptive laboratory evolution allowed the engineered strain Po1g-CEE2+Sp to tolerate a lower pH and to accumulate a higher amount of l-malic acid (56.0 g/L). Finally, when scaling up to a 5 L bioreactor, a titer of 112.5 g/L was attained. In conclusion, this study demonstrates for the first time the successful production of l-malic acid in Y. lipolytica by combining metabolic engineering and laboratory evolution, paving the way for large-scale sustainable biosynthesis of this and other organic acids.

Transcriptome analysis reveals a role of FOXO3 in antileukemia/lymphoma properties of panduratin A

Boesenbergia rotunda, commonly known as fingerroot, is a medicinal and culinary plant native to the Indochina Peninsula. We found that panduratin A (Pan-A), one of the compounds present in the rhizome extract of fingerroot, inhibited cell proliferation, induced apoptosis, and promoted cell cycle arrest at G0/G1 phase in multiple hematologic malignant cell lines including leukemia and lymphoma lines. Pan-A inhibited these activities in leukemia and lymphoma cells in a concentration-dependent manner. High-throughput transcriptome analysis indicated that Pan-A is involved in the cell cycle, cellular senescence, apoptosis, and multiple canonical signaling pathways in lymphoma cells. The Forkhead box O (FOXO) transcription factor family was identified as a potential target of Pan-A. Western blot showed elevated caspase 7 and cPARP/PARP in the B-cell lymphoma cells after treatment with Pan-A. The inhibitory effects were accompanied by stimulation of Akt signaling and phosphorylation of FOXO3. Immunohistochemistry of tissues from patients with B-cell lymphoma revealed detectable levels of FOXO3 protein specifically in neoplastic B cells. Overall, our results highlight FOXO3 as a player underlying antileukemia/lymphoma effects of Pan-A.

Mode of action exploration for prostate epithelial cell injury caused by bisphenol A

Bisphenol A (BPA) is a typical food chemical contaminant with various detrimental effects, especially on reproductive system. Male prostate damage is also one of its major adverse health effects, of which mode of action (MOA) remains unclear. This study aims to explore the MOA for prostate toxicity of BPA using human normal prostate epithelial cell RWPE-1 for 28-day human-relevant-level exposure. A physiological based pharmacokinetic model was used to determine the concentration of BPA based on the actual oral exposure in China. The possible key events were identified by high-throughput transcriptome sequencing and validated by qPCR, Western blot and cell cycle assay, and the benchmark concentration analysis were conducted. The enriched KEGG pathways include the endocytosis, cell cycle, cellular senescence, MAPK and TNF signaling pathways. With increasing BPA concentrations, the increased mRNA and/or protein expressions of MAPKAPK2, c-JUN and c-fos in the MAPK signaling pathway, the increased mRNA expressions of CCND1 and CDKN1A, the decreased mRNA expression of CDC25C, the increased proportion of G0/G1 phase and S phase, as well as the decreased proportion of G2/M phase, were observed. The lowest value of benchmark concentration lower confidence limit (BMCL) was retrieved from G2/M phase ratio, with 110.580 and 175.862 nM for BMCL5 and BMCL10, respectively, much higher than the male gonad maximum concentration of 0.019 nM of BPA at the current exposure level of adult Chinese males. In conclusion, the MOA of BPA induced male prostatic toxicity at human-relevant levels may include: key event (KE)1-MAPK signaling pathway activation, KE2-disorder of cell cycle regulatory gene expression (increased expression of CCND1 and CDKN1A, decreased expression of CDC25C), and KE3-disturbance of cell cycle (increased proportion of G0/G1 and S phases, decreased proportion of G2/M phases). However, more studies are needed to validate and complete the MOA.

Results of expression microarray analysis of tumor tissue from patients with colorectal cancer

The aim of the study was to evaluate the expression profile and search for markers of progression in tumor tissue in colorectal cancer. Materials and Methods - Tumor tissue samples obtained from videocolonoscopy in patients with verified colorectal cancer served as the material for the study. A total of 37 specimens were involved in the study. Of these, there were 14 samples with a “favorable” prognosis and 23 with an “unfavorable” prognosis. The quality and quantity of ribonucleic acid in the eluted solution were evaluated using an IMPLEN nanospectrophotometer (Germany). A SurePrint G3 HumanGeneExpv3 ArrayKit microarray kit (Agilent, USA) was used to assess gene expression. Microarrays were scanned on an InnoScan 1100 AL (USA) with subsequent image processing using Mapix Software (USA). For the procedure of searching for differentially expressed genes, we used the Moderated t-statistics method, which is implemented in the limma package. Results - Based on the scatter plot, the most divergent genes in samples with and without progression were selected. The following markers were selected: Marker9 (GZMB), Marker5 (CXCL11), Marker3 (SYNE4), Marker20 (MIR4432HG), Marker19 (ZDHHC11), Marker11 (COL17A1), Marker13 (ZDHHC11B), Marker17 (AGR3). Low-expressing genes mainly affected DNA replication and cell cycle pathways, whereas high-expressing genes affected metabolic pathways. Conclusions - We found an association of long-term outcomes with the expression of the gene combination ZDHHC11, MIR4432HG, and GZMB. Further study of this gene combination and increased sampling will allow the construction of a test system for predicting the course and response to treatment of patients with colorectal cancer.

GLO1 regulates hepatocellular carcinoma proliferation and migration through the cell cycle pathway

BackgroundHepatocellular carcinoma (HCC) is a malignant tumor characterized by a high mortality rate. The occurrence and progression of HCC are linked to oxidative stress. Glyoxalase-1 (GLO1) plays an important role in regulating oxidative stress, yet the underlying mechanism remains unclear. GLO1 may serve as a prognostic biomarker and therapeutic target for HCC.MethodsBased on TCGA database hepatocellular carcinoma samples, we conducted a bioinformatics analysis to explore the correlation between GLO1 expression and HCC cell proliferation and viability. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis revealed that differentially expressed genes (DEGs) were mainly enriched in the cell cycle pathway. We analyzed the relationships between GLO1 and 24 genes enriched in the cell cycle pathway using a protein-protein interaction (PPI) network. Finally, experimental validation was performed to assess GLO1’s impact on the distribution of cells at different cell cycle stages and on the proliferation and migration of HCC cells.ResultsOur study demonstrated that GLO1 was overexpressed in HCC tissues and was associated with a poor prognosis. Data analysis indicated that overexpression of GLO1 activated the cell cycle pathway and positively correlated with expression of the majority of key cell cycle genes. Experimental validation showed that GLO1 expression affects the number of HCC cells in G2 and S phases and regulates HCC cell proliferation and migration.ConclusionsGLO1 represents a promising therapeutic target for HCC, providing valuable insights into its role in the viability and proliferation of HCC cells.

Construction of a disulfidptosis-associated lncRNAs risk model to predict prognosis and immuno-infiltration analysis of lung adenocarcinoma

Objective: To develop a risk model based on LncRNAs associated with disulfidptosis to forecast the prognosis and assess immune infiltration of Lung adenocarcinoma (LUAD). Methods: This study employed a bioinformatics approach. The study was conducted from March 29, 2023 and concluded on July 1, 2023 at Guangzhou University of Chinese Medicine, Guangzhou, China. Transcriptomic data specific to LUAD were collected from TCGA database. Disulfidptosis-related LncRNAs were preliminarily screened using co-expression analysis, followed by screening using Lasso regression and Cox regression to identify LncRNAs. Subsequently, prognostic prediction models were constructed. To assess the model, survival analysis, subject operating characteristic curves, and calibration curves were employed. To evaluate the tumor microenvironment, the “estimate” package was used, while the “ggpubr” package was utilized to visualize the variations. Additionally, we employed CIBERSORT to examine immune cell infiltration abundance. Results: A prognostic prediction model was constructed using five LncRNAs. The high-risk group displayed a shorter overall survival and progression-free survival (P<0.05). The concordance index was calculated as 0.704 (95% CI: 0.654-0.754). GSEA analysis reveals that high risk group is associated with the cell cycle pathway and steroid hormone biosynthesis pathway, while the low-risk group is associated with hematopoietic cell pathway and allograft rejection pathway. Immune cell infiltration analysis indicated associations between the prognostic model and activated T cells CD4 memory, T cells CD8, etc. Conclusions: The risk model of Disulfidptosis-related LncRNAs can predict the prognosis of LUAD and evaluate the immune infiltration, providing a new direction for the treatment of LUAD. doi: https://doi.org/10.12669/pjms.40.10.9025 How to cite this: Liu J, Nie H, Du W, Song W. Construction of a disulfidptosis-associated lncRNAs risk model to predict prognosis and immuno-infiltration analysis of lung adenocarcinoma. Pak J Med Sci. 2024;40(10):2368-2372. doi: https://doi.org/10.12669/pjms.40.10.9025 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Basic understanding of Cu‐SSZ‐13 in catalyzing low‐temperature selective catalytic reduction of NOx by ammonia

AbstractThe development of Cu‐SSZ‐13 represents a significant breakthrough in the field of NOx removal from mobile exhaust, demonstrating excellent selective catalytic reduction (SCR) activity across a broad temperature range (200–500°C). However, the limited reactivity of Cu‐SSZ‐13 at temperatures below 200°C poses a challenge for the removal of NOx emitted during vehicle cold starts. To stimulate new efforts to enhance low‐temperature SCR performance, this review provides a fundamental understanding of the nature of Cu‐SSZ‐13 in catalyzing the SCR reaction. The structures, coordination environments, and oxidation states of Cu2+ during the SCR reaction, as well as the redox cycle pathway of Cu2+ ions and the characteristics of the rate‐determining step, were discussed. Based on these insights, several strategies for improving the low‐temperature activity of Cu‐SSZ‐13 are proposed. Finally, the review offers a perspective on the future of low‐temperature SCR of NOx over Cu‐SSZ‐13.

Epigenetic trajectory predicts development of clinical rheumatoid arthritis in ACPA+ individuals: Targeting Immune Responses for Prevention of Rheumatoid Arthritis (TIP-RA).

The presence of autoantibodies to citrullinated protein antigens (ACPAs) in the absence of clinically-apparent inflammatory arthritis (IA) identifies individuals "at-risk" for developing future clinical rheumatoid arthritis (RA). However, it is unclear why some ACPA+ individuals convert to clinical RA while others do not. We explored the possibility in the Targeting Immune Responses for Prevention of Rheumatoid Arthritis (TIP-RA) study that epigenetic remodeling is part of the trajectory from an at-risk state to clinical disease and identifies novel biomarkers associated with conversion to clinical RA. ACPA-Controls, ACPA+ At-Risk, and Early RA individuals were followed for up to 5 years, including obtaining blood samples annually and at RA diagnosis. Peripheral blood mononuclear cells (PBMCs) were separated into CD19+ B cells, memory CD4+ T cells, and naïve CD4+ T cells using antibodies and magnetic beads. Genome-wide methylation within each cell lineage was assayed using the Illumina MethylationEPIC v1.0 beadchip. ACPA+ At-Risk participants who did or did not develop RA were designated "Pre-RA" or "Non-converters", respectively.Differentially methylated loci (DML) were selected using the Limma software package. Using the Caret package, we constructed machine learning models in test and validation cohorts and identified the most predictive loci of clinical RA conversion. Cross-sectional differential methylation analysis at baseline revealed DMLs that distinguish the Pre-RA methylome from ACPA+ Non-converters, the latter which closely resembled ACPA-Controls. Genes overlapping these DMLs correspond to aberrant NOTCH signaling and DNA repair pathways in B cells. Longitudinal analysis showed that ACPA-Control and ACPA+ Non-converter methylomes are relatively constant. In contrast, the Pre-RA methylome remodeled along a dynamic "RA methylome trajectory" characterized by epigenetic changes in active regulatory elements. Clinical conversion to RA, defined based on diagnosis, marked an epigenetic inflection point for cell cycle pathways in B cells and adaptive immunity pathways in naïve T cells. Machine learning revealed individual loci associated with RA conversion. This model significantly outperformed autoantibodies plus acute phase reactants as predictors of RA conversion. DNA methylation is a dynamic process in ACPA+ individuals at-risk for developing RA that eventually transition to clinical disease. In contrast, non-converters and controls have stable methylomes. The accumulation of epigenetic marks over time prior to conversion to clinical RA conforms to pathways that are associated with immunity and can be used to identify potential pathogenic pathways for therapeutic targeting and/or use as prognostic biomarkers.

The spatial impact of a Western diet in enriching Galectin-1-regulated Rho, ECM, and SASP signaling in a novel MASH-HCC mouse model

BackgroundHepatocellular carcinoma (HCC) arising from metabolic dysfunction-associated steatohepatitis (MASH) presents a significant clinical challenge, particularly given the prevalence of the Western diet (WD). The influence of diet on the tumor microenvironment remains poorly understood. Galectin-1 (Gal-1) is a biomarker for HCC and has a crucial role in liver carcinogenesis. Our previous studies demonstrated that silencing Gal-1 effectively treats mouse HCC. However, the impacts of a WD on Gal-1 signaling on MASH to HCC progression are unknown, and this study addresses these knowledge gaps.MethodsWe developed a novel MASH-HCC mouse model. Using spatial transcriptomics and multiplex immunohistochemistry (IHC), we studied the effects of a WD on the liver and tumor microenvironment. By modulating Gal-1 expression through silencing and overexpression, we explored the location-specific impacts of WD on Gal-1 signaling.ResultsPathways such as Rho signaling, extracellular matrix (ECM) remodeling, and senescence-associated secretory phenotypes (SASP) were prominently activated in WD-induced metabolic dysfunction-associated fatty liver disease (MAFLD) and MASH-HCC, compared to healthy livers controls. Furthermore, Rho GTPase effectors, ECM remodeling, neutrophil degranulation, cellular stress, and cell cycle pathways were consistently enriched in human and mouse MASH-HCC. Spatially, these pathways were enriched in the tumor and tumor margins of mouse MASH-HCC. Additionally, there was a notable increase in CD11c and PD-L1-positive cells from non-tumor tissues to the tumor margin and inside the tumor of MASH-HCC, suggesting compromised immune surveillance due to WD intake. Moreover, MASH-HCC exhibited significant Gal-1 induction in N-Cadherin-positive cells, indicating enhanced epithelial-to-mesenchymal transition (EMT). Modulating Gal-1 expression in MASH-HCC further established its specific roles in regulating Rho signaling and SASP in the tumor margin and non-tumor tissues in MASH-HCC.ConclusionWD intake significantly influences vital cellular processes involved in Gal-1-mediated signaling, including Rho signaling and ECM remodeling, in the tumor microenvironment, thereby contributing to the development of MASH-HCC.

PFDN5 plays a dual role in breast cancer and regulates tumor immune microenvironment: Insights from integrated bioinformatics analysis and experimental validation

BackgroundAlthough the prognosis for patients with breast cancer has improved, breast cancer remains the leading cause of death for women worldwide. Prefoldin 5 (PFDN5), as a subunit of the prefoldin complex, plays a vital role in aiding the correct folding of newly synthesized proteins. However, the exact impact of PFDN5 on breast cancer development and its prognostic implications remain unclear. MethodsWe conducted bioinformatics analysis to investigate the correlation between PFDN5 and patient survival, as well as various clinicopathological characteristics in breast cancer. Additionally, various assays were employed to validate the biological functions of PFDN5 in breast cancer. Finally, RNA sequencing (RNA-seq) was utilized to investigate the molecular mechanisms associated with PFDN5. ResultsCompared to normal tissues, PFDN5 exhibited lower expression levels in breast cancer tissues, and lower expression of PFDN5 is associated with poorer prognosis. PFDN5 led to G2/M phase arrest in the cell cycle and reduced proliferative potential in breast cancer cells. However, PFDN5 also promoted migration and invasion of breast cancer cells. Also, RNA-seq analysis revealed an involvement of PFDN5 in the cell cycle and TGF-β signaling pathway. Furthermore, PFDN5 had a significant impact on tumor immune microenvironment by promoting macrophage polarization towards the M1 phenotype and exhibited a positive correlation with CD8+ T cell infiltration levels. ConclusionsPFDN5 plays a dual role in breast cancer and serves as a key factor in tumor immune microenvironment. Therefore, PFDN5 holds promise as a valuable biomarker for predicting both metastatic and prognosis in breast cancer.