Oxidative Stress-related Genes Research Articles

Antioxidant action of xanthine oxidase inhibitor febuxostat protects the liver and blood vasculature in SHRSP5/Dmcr rats.

Xanthine oxidase (XO) generates reactive oxygen species during uric acid production. Therefore, XO inhibitors, which suppress oxidative stress, may effectively treat non-alcoholic steatohepatitis (NASH) and atherosclerosis via uric acid reduction. In this study, we examined the antioxidant effect of the XO inhibitor febuxostat on NASH and atherosclerosis in stroke-prone spontaneously hypertensive 5 (SHRSP5/Dmcr) rats. SHRSP5/Dmcr rats were divided into three groups: SHRSP5/Dmcr + high-fat and high-cholesterol (HFC) diet [control group, n = 5], SHRSP5/Dmcr + HFC diet + 10% fructose (40 ml/day) [fructose group, n = 5], and SHRSP5/Dmcr + HFC diet + 10% fructose (40 ml/day) + febuxostat (1.0 mg/kg/day) [febuxostat group, n = 5]. Glucose and insulin resistance, blood biochemistry, histopathological staining, endothelial function, and oxidative stress markers were evaluated. Febuxostat reduced the plasma uric acid levels. Oxidative stress-related genes were downregulated, whereas antioxidant factor-related genes were upregulated in the febuxostat group compared with those in the fructose group. Febuxostat also ameliorated inflammation, fibrosis, and lipid accumulation in the liver. Mesenteric lipid deposition decreased in the arteries, and aortic endothelial function improved in the febuxostat group. Overall, the XO inhibitor febuxostat exerted protective effects against NASH and atherosclerosis in SHRSP5/Dmcr rats.

Exogenous serotonin improves drought and salt tolerance in tomato seedlings

Serotonin and melatonin, which are indolamines present in every biological kingdom, show strong bioregulator activity in plant tissues under various stress conditions. Although numerous studies have reported the stress mitigating effects of melatonin, the effect of serotonin on plant stress physiology has rarely been studied in the current literature. In this study, the effects of exogenous serotonin application on tomato seedlings under severe salt and drought stresses were investigated by examining various morphological and physiological plant stress indicators, including tissue length and mass, relative water content (RWC), ion leakage, malonedialdehyde (MDA) and proline content, as well as some oxidative stress related gene activities, ascorbate peroxidase (APX1), superoxide dismutase (FeSOD), catalase (CAT2), glutathione reductase (GR1), delta 1-pyrroline-5-carboxylate synthase (P5CS) and 1-aminocyclopropane-1-carboxylic acid synthase 2 (ACS2). Our results showed that the tissue MDA contents decreased by 29% and 18%, the ion leakage levels decreased by 39% and 34%, whereas the relative water contents increased by 22% and 18%, respectively, under salt and drought stresses upon serotonin application. Serotonin also decreased ACS2 gene expression by 28% and 70%, while increasing FeSOD by 69 and 17%, CAT2 by 145 and 110% and GR1 gene expression by 67 and 22%, respectively, under salt and drought stresses. Also, the transcript level of P5CS increased 48% under serotonin salt coapplication. Our findings showed that similar to its close chemical relative melatonin, serotonin also exhibits stress mitigation effects and boosts the antioxidant capacity of tomato plants under most common abiotic stress conditions.

Heart failure-related genes associated with oxidative stress and the immune landscape in lung cancer.

Lung cancer is a common comorbidity of heart failure (HF). The early identification of the risk factors for lung cancer in patients with HF is crucial to early diagnosis and prognosis. Furthermore, oxidative stress and immune responses are the two critical biological processes shared by HF and lung cancer. Therefore, our study aimed to select the core genes in HF and then investigate the potential mechanisms underlying HF and lung cancer, including oxidative stress and immune responses through the selected genes. Differentially expressed genes (DEGs) were analyzed for HF using datasets extracted from the Gene Expression Omnibus database. Functional enrichment analysis was subsequently performed. Next, weighted gene co-expression network analysis was performed to select the core gene modules. Support vector machine models, the random forest method, and the least absolute shrinkage and selection operator (LASSO) algorithm were applied to construct a multigene signature. The diagnostic values of the signature genes were measured using receiver operating characteristic curves. Functional analysis of the signature genes and immune landscape was performed using single-sample gene set enrichment analysis. Finally, the oxidative stress-related genes in these signature genes were identified and validated in vitro in lung cancer cell lines. The DEGs in the GSE57338 dataset were screened, and this dataset was then clustered into six modules using weighted gene co-expression network analysis; MEblue was significantly associated with HF (cor = -0.72, p < 0.001). Signature genes including extracellular matrix protein 2 (ECM2), methyltransferase-like 7B (METTL7B), meiosis-specific nuclear structural 1 (MNS1), and secreted frizzled-related protein 4 (SFRP4) were selected using support vector machine models, the LASSO algorithm, and the random forest method. The respective areas under the curve of the receiver operating characteristic curves of ECM2, METTL7B, MNS1, and SFRP4 were 0.939, 0.854, 0.941, and 0.926, respectively. Single-sample gene set enrichment analysis revealed significant differences in the immune landscape of the patients with HF and healthy subjects. Functional analysis also suggested that these signature genes may be involved in oxidative stress. In particular, METTL7B was highly expressed in lung cancer cell lines. Meanwhile, the correlation between METTL7B and oxidative stress was further verified using flow cytometry. We identified that ECM2, METTL7B, MNS1, and SFRP4 exhibit remarkable diagnostic performance in patients with HF. Of note, METTL7B may be involved in the co-occurrence of HF and lung cancer by affecting the oxidative stress immune responses.

Alleviative Effect of Lactoferrin Interventions Against the Hepatotoxicity Induced by Titanium Dioxide Nanoparticles.

The current study was designed to investigate the alleviative effect of lactoferrin interventions against the hepatotoxicity induced by titanium dioxide nanoparticles (TiO2-NPs). Thirty male Wistar rats were divided into six groups with 5 rats in each group. The first and second groups were intragastrically administered normal saline and TiO2-NPs (100 mg/kg body weight) as the negative control (NC) and TiO2-NP groups. The third, fourth, and fifth groups were intragastrically administered lactoferrin at concentrations of 100, 200, and 400 mg/kg body weight in addition to TiO2-NPs (100 mg/kg body weight). The sixth group was intragastrically administered Fuzheng Huayu (FZHY) capsules at a concentration of 4.6 g/kg body weight in addition to TiO2-NPs (100 mg/kg body weight) as the positive control group. After treatment for 4 weeks, the concentrations of lactoferrin were optimized based on the liver index and function results. Subsequently, the alleviative effects of lactoferrin interventions against TiO2-NP-induced hepatotoxicity in rat liver tissues, including the effects on histological damage, oxidative stress-related damage, inflammation, fibrosis, DNA damage, apoptosis, and gene expression, were investigated using histopathological, biochemical, and transcriptomic assays. The results showed that 200 mg/kg lactoferrin interventions for 4 weeks not only ameliorated the liver dysfunction and histopathological damage caused by TiO2-NP exposure but also inhibited the oxidative stress-related damage, inflammation, fibrosis, DNA damage, and apoptosis in the liver tissues of TiO2-NP-exposed rats. The transcriptomic results confirmed that the alleviative effect of lactoferrin interventions against the TiO2-NP exposure-induced hepatotoxicity was related to the activation of the PI3K/AKT signaling pathway.

Development and validation of an oxidative stress‑related prognostic signature in osteosarcoma: A combination of molecular experiments and bioinformatics.

Osteosarcoma (OS) is one of the most prevalent malignancies with a bad prognosis. Oxidative stress is closely associated with various type of cancer. The present study aimed to establish an oxidative stress-related gene prognostic signature. Supported by The Cancer Genome Atlas and Gene Expression Omnibus, the least absolute shrinkage and selection operator regression, Cox regression, receiver operating characteristic curves and Kaplan-Meier survival analysis were used to construct and validate a prognostic signature and the derived risk score. Tumor microenvironment scores and immune infiltration levels in OS were calculated. Correlation between these parameters and risk score was analyzed. In addition, single analysis of each hub gene was performed. Finally, a series of molecular experiments was used to detect the role of MAP3K5 (one of the hub genes) in OS. A total of five genes most associated with OS prognosis were identified as independent predictors, namely catalase (CAT), mitogen-activated protein kinase 1 (MAPK1), glucose-6-phosphate dehydrogenase (G6PD), mitogen-activated protein kinase kinase kinase 5 (MAP3K5) and C-C motif chemokine ligand 2 (CCL2). Based on the signature, higher risk score indicated poorer prognosis. Nomogram performed well and reliably predicted 3- and 5-year survival rate in OS. Patients with increasing risk scores had higher tumor purity and lower immune infiltration levels. Compared with an osteoblast cell line, the expression of CAT, CCL2, MAPK1 and G6PD was upregulated and MAP3K5 was downregulated. MAP3K5 inhibited cellular proliferation and motility, promoted cellular apoptosis and induced reactive oxygen species generation. Overall, the signature could effectively predict the prognosis of patients with OS and were expected to be potential biomarkers. And it provided new ideas for understanding the interactions between oxidative stress and OS.

119 Differential Alveolar Toxicity of Exhaust and Non-Exhaust Fine Particulate Matter

Abstract Introduction Airborne fine particulate matter (diameter &amp;lt;2.5μm; PM2.5) is a leading risk factor for ill health and premature death. Road vehicle technology is decreasing exhaust-derived PM emissions but poorly characterised, unregulated non-exhaust PM persists. This study aimed to characterise the toxicology of brakewear PM2.5 (BWPM) from 4 brakepad types, and roadwear PM, compared to diesel exhaust PM2.5 (DEP). Methods An alveolar type-II epithelial cell line (ATIIER:KRASv12) was exposed to 3.9-31.6µg/cm2 PM2.5 generated from 4 brake pad types (low-metallic/semi-metallic/non-asbestos organic [NAO]/ceramic), roadwear, or DEP for 2-24h. PM composition was determined by ICP-MS, cytotoxicity by LDH and MTT assays, cytokine release by ELISA, gene expression by RT-qPCR and RNA-Seq, and protein expression by western blot. Results NAO and ceramic BWPM, enriched in copper and zirconium, exerted greatest increases in cytotoxicity, cytokine release (IL-6: NAO 26-fold, ceramic 20-fold; p&amp;lt;0.05), and oxidative stress-related (HMOX1 – NAO 28-fold, ceramic 26-fold, p&amp;lt;0.001) and metal homeostasis genes (MT1G: NAO 197-fold, ceramic 183-fold; p&amp;lt;0.001), consistently greater than roadwear PM or DEP. Amelioration by copper-chelating tetraethylenepentamine implicated BWPM copper. RNA-Seq showed NAO and ceramic BWPM induced most differentially expressed genes vs. control, related to inflammatory, oxidative stress, heat-shock, and hypoxia responses. Effects on hypoxia signalling were confirmed through HIF1α western blot and HIF-signalling reporter assay. Conclusions NAO and ceramic BWPM were the most potent across multiple endpoints. Future work will study the relevance of HIF-related responses, which have been implicated in fibrotic lung disease. Understanding source-dependent toxicity may facilitate manufacturing- and healthcare-related mitigation of PM toxicity.

Forsythoside A regulates autophagy and apoptosis through the AMPK/mTOR/ULK1 pathway and alleviates inflammatory damage in MAC-T cells.

Dairy cow mastitis is the most common disease encountered in dairy farming. Lipopolysaccharides (LPS), among the major virulence-related factors produced by Escherichia coli, stimulate mammary gland inflammation and cause its damage, thereby affecting milk yield and quality. Forsythoside A (FTA) is among the main active components of forsythia. Recent pharmacological studies have demonstrated that FTA possesses anti-inflammatory, antiviral, antioxidant, and other biological activities. This study investigated the effects of the FTA-activated AMP-activated protein kinase (AMPK) signaling pathway on LPS-induced autophagy, apoptosis, and inflammatory damage in bovine mammary epithelial (MAC-T) cells. Cell activity was measured using the Cell Counting Kit 8. Moreover, real-time quantitative polymerase chain reaction and western blot analyses were used to detect expression levels of autophagic, apoptotic, and inflammatory factors, as well as those of oxidative stress-related genes and proteins. The annexin-FITC/PI assay and immunofluorescence assay were used to detect the apoptosis rate and LC3B expression, respectively. We found that FTA attenuated LPS-induced inhibition of MAC-T cell proliferation, reduced mRNA expression of related inflammatory factors, relieved oxidative stress, and exerted protective effects on MAC-T cells. Additionally, FTA activated autophagy, attenuated inhibition of autophagy flow, and inhibited apoptosis. Autophagy and apoptosis were mainly regulated through the AMPK/mTOR/ULK1 pathway. The aforementioned FTA-induced effects were inhibited by the administration of Compound C (CC; an AMPK inhibitor). Taken together, these results indicate that FTA can alleviate LPS-induced inflammation and oxidative stress in MAC-T cells, attenuate impairments in autophagy, and inhibit apoptosis. However, these effects were blocked by CC, which suggests that FTA inhibits LPS-induced autophagy, apoptosis, and inflammatory damage in MAC-T cells by activating the AMPK pathway.

Identification of oxidative stress-related genes differentially expressed in Alzheimer’s disease and construction of a hub gene-based diagnostic model

Alzheimer’s disease (AD) is the most prevalent dementia disorder globally, and there are still no effective interventions for slowing or stopping the underlying pathogenic mechanisms. There is strong evidence implicating neural oxidative stress (OS) and ensuing neuroinflammation in the progressive neurodegeneration observed in the AD brain both during and prior to symptom emergence. Thus, OS-related biomarkers may be valuable for prognosis and provide clues to therapeutic targets during the early presymptomatic phase. In the current study, we gathered brain RNA-seq data of AD patients and matched controls from the Gene Expression Omnibus (GEO) to identify differentially expressed OS-related genes (OSRGs). These OSRGs were analyzed for cellular functions using the Gene Ontology (GO) database and used to construct a weighted gene co-expression network (WGCN) and protein-protein interaction (PPI) network. Receiver operating characteristic (ROC) curves were then constructed to identify network hub genes. A diagnostic model was established based on these hub genes using Least Absolute Shrinkage and Selection Operator (LASSO) and ROC analyses. Immune-related functions were examined by assessing correlations between hub gene expression and immune cell brain infiltration scores. Further, target drugs were predicted using the Drug-Gene Interaction database, while regulatory miRNAs and transcription factors were predicted using miRNet. In total, 156 candidate genes were identified among 11046 differentially expressed genes, 7098 genes in WGCN modules, and 446 OSRGs, and 5 hub genes (MAPK9, FOXO1, BCL2, ETS1, and SP1) were identified by ROC curve analyses. These hub genes were enriched in GO annotations “Alzheimer’s disease pathway,” “Parkinson’s Disease,” “Ribosome,” and “Chronic myeloid leukemia.” In addition, 78 drugs were predicted to target FOXO1, SP1, MAPK9, and BCL2, including fluorouracil, cyclophosphamide, and epirubicin. A hub gene-miRNA regulatory network with 43 miRNAs and hub gene-transcription factor (TF) network with 36 TFs were also generated. These hub genes may serve as biomarkers for AD diagnosis and provide clues to novel potential treatment targets.

Crosstalk between oxidative stress and neutrophil response in early ischemic stroke: a comprehensive transcriptome analysis.

Ischemic stroke (IS) is the second leading cause of mortality worldwide, continuing to be a serious health concern. It is well known that oxidative stress and neutrophil response play vital roles in the pathophysiology of early IS. However, the complex interactions and critical genes associated with them have not been fully understood. Two datasets (GSE37587 and GSE16561) from the Gene Expression Omnibus database were extracted and integrated as the discovery dataset. Subsequent GSVA and WGCNA approaches were used to investigate IS-specific oxidative stress-related genes (ISOSGS). Then, we explored IS-specific neutrophil-associated genes (ISNGS) using CIBERSORT analysis. Next, the protein-protein interaction network was established to ascertain candidate critical genes related with oxidative stress and neutrophil response. Furthermore, these candidate genes were validated using GSE58294 dataset and our clinical samples by RT-qPCR method. Finally, functional annotation, diagnostic capability evaluation and drug-gene interactions were performed by using GSEA analysis, ROC curves and DGIDB database. In our analysis of discovery dataset, 155 genes were determined as ISOSGS and 559 genes were defined as ISNGS. Afterward, 9 candidate genes were identified through the intersection of ISOSGS and ISNGS, PPI network construction, and filtration by degree algorithm. Then, six real critical genes, including STAT3, MMP9, AQP9, SELL, FPR1, and IRAK3, passed the validation using the GSE58294 dataset and our clinical samples. Further functional annotation analysis indicated these critical genes were associated with neutrophil response, especially neutrophil extracellular trap. Meanwhile, they had a good diagnostic performance. Lastly, 53 potential drugs targeting these genes were predicted by DGIDB database. We identified 6 critical genes, STAT3, FPR1, AQP9, SELL, MMP9 and IRAK3, related to oxidative stress and neutrophil response in early IS, which may provide new insights into understanding the pathophysiological mechanism of IS. We hope our analysis could help develop novel diagnostic biomarkers and therapeutic strategies for IS.

Polysaccharide from aerial part of Chuanminshen violaceum alleviates oxidative stress and inflammatory response in aging mice through modulating intestinal microbiota.

Aging is a biological process of progressive deterioration of physiological functions, which poses a serious threat to individual health and a heavy burden on public health systems. As population aging continues, research into anti-aging drugs that prolong life and improve health is of particular importance. In this study, the polysaccharide from stems and leaves of Chuanminshen violaceum was obtained with water extraction and alcohol precipitation, and then separated and purified with DEAE anion exchange chromatography and gel filtration to obtain CVP-AP-I. We gavaged natural aging mice with CVP-AP-I and performed serum biochemical analysis, histological staining, quantitative real-time PCR (qRT-PCR) and ELISA kit assays to analyze inflammation and oxidative stress-related gene and protein expression in tissues, and 16SrRNA to analyze intestinal flora. We found that CVP-AP-I significantly improved oxidative stress and inflammatory responses of the intestine and liver, restored the intestinal immune barrier, and balanced the dysbiosis of intestinal flora. In addition, we revealed the potential mechanism behind CVP-AP-I to improve intestinal and liver function by regulating intestinal flora balance and repairing the intestinal immune barrier to regulate the intestinal-liver axis. Our results indicated that C. violaceum polysaccharides possessed favorable antioxidant, anti-inflammatory and potentially anti-aging effects in vivo.

Establishment of a 7-gene prognostic signature based on oxidative stress genes for predicting chemotherapy resistance in pancreatic cancer.

Background: Oxidative stress is involved in regulating various biological processes in human cancers. However, the effect of oxidative stress on pancreatic adenocarcinoma (PAAD) remained unclear. Methods: Pancreatic cancer expression profiles from TCGA were downloaded. Consensus ClusterPlus helped classify molecular subtypes based on PAAD prognosis-associated oxidative stress genes. Limma package filtered differentially expressed genes (DEGs) between subtypes. A multi-gene risk model was developed using Lease absolute shrinkage and selection operator (Lasso)-Cox analysis. A nomogram was built based on risk score and distinct clinical features. Results: Consistent clustering identified 3 stable molecular subtypes (C1, C2, C3) based on oxidative stress-associated genes. Particularly, C3 had the optimal prognosis with the greatest mutation frequency, activate cell cycle pathway in an immunosuppressed status. Lasso and univariate cox regression analysis selected 7 oxidative stress phenotype-associated key genes, based on which we constructed a robust prognostic risk model independent of clinicopathological features with stable predictive performance in independent datasets. High-risk group was found to be more sensitive to small molecule chemotherapeutic drugs including Gemcitabine, Cisplatin, Erlotinib and Dasatinib. The 6 of 7 genes expressions were significantly associated with methylation. Survival prediction and prognostic model was further improved through a decision tree model by combining clinicopathological features with RiskScore. Conclusion: The risk model containing seven oxidative stress-related genes may have a greater potential to assist clinical treatment decision-making and prognosis determination.

Dendrobine enhances bovine oocyte maturation and subsequent embryonic development and quality

Strategies for improving the quality of oocytes have important theoretical and practical significance for increasing the efficiency of livestock breeding. In this respect, the accumulation of reactive oxygen species (ROS) is a major factor affecting the development of oocytes and embryos. This study investigated the effects of Dendrobium nobile extract (DNE) on the in vitro maturation of bovine oocytes and embryonic development after IVF. DNE is an extract from Dendrobium rhizomes that contains alkaloids with anti-inflammatory, anti-cancer and anti-ageing functions. Various concentrations of DNE (0, 5, 10, 20 and 50 μmol/L) were added during oocyte maturation in vitro, and we found that 10 μmol/L of DNE remarkably increased the oocyte maturation rate, the subsequent blastocyst formation rate and embryo quality. Further, we found that DNE treatment decreased the frequency of spindle/chromosome defects and ROS and increased the oocyte glutathione and mitochondrial membrane potential in oocytes. Moreover, DNE upregulated the expression of oxidative stress-related genes (Sirt1, Sirt2, Sirt3 and Sod1) in oocytes and apoptosis-related genes (Caspase-3, Caspase-4, Bax, Bcl-xl and Survivin) in blastocysts. These results suggest that DNE supplementation can promote oocyte maturation and subsequent embryonic development by regulating redox reactions and inhibiting embryonic apoptosis.

A riskscore model based on oxidative stress-related genes may facilitate the prognosis evaluation for colon cancer patients.

This study aims to identify the oxidative stress-related genes (OSRGs) with prognostic value and develop a riskscore model for prognosis evaluation in colon cancer. The transcriptome data and corresponding clinical information about colon cancer were extracted from The Cancer Genome Atlas (TCGA) database. Differentially expressed OSRGs and transcription factors (TFs) were identified between the normal and tumor samples. A riskscore model was established with OSRGs filtered from Cox regression analysis. This riskscore model was appraised by KM plot, ROC curve, and Cox regression analysis. The clinical relevance of riskscore and its association with immune cell infiltration were also evaluated. 307 differentially expressed OSRGs and 64 differential TFs were identified. A TF-OSRGs regulatory network was constructed in Cytoscape software. A riskscore model was established based on 17 OSRGs with independent prognostic value. This riskscore model could separate the patients into low-risk and high-risk groups. It also had good predictive ability, with an AUC=0.8. In multivariate Cox regression analysis, age, T-stage, and riskscore were identified as independent risk factors in colon cancer. Riskscore was significantly correlated with T-stage, N-stage, and immune cell infiltration. We established a useful riskscore model with 17 OSRGs for prognosticating overall survival (OS) in patients with colon cancer. This study provides a new insight into the clinical utility of OSRGs-based riskscore model, which will hopefully facilitate the prognosis evaluation of colon cancer patients.

The generation of environmentally persistent free radicals on photoaged microbeads from cosmetics enhances the toxicity via oxidative stress

Microbeads used in personal care products have been one of the important sources of microplastics (MPs), and little has been reported on their environmental behaviors and health risks. The characteristics of environmentally persistent free radicals (EPFRs) and the toxicity assessment of MPs (environmentally relevant concentrations) from cosmetics during photoaging remains largely unknown. In this study, the formation of EPFRs on polyethylene (PE) microbeads from facial scrubs under light irradiation and their toxicity were investigated using C. elegans as a model organism. The results suggested that light irradiation induced the generation of EPFRs, which accelerates the aging process and alters the physicochemical properties of PE microbeads. Acute exposure to PE (1 mg/L) at photoaged times of 45–60 d significantly decreased the physiological indicators (e.g., head thrashes, body bends, and brood size). The oxidative stress response and stress-related gene expression were also enhanced in nematodes. The addition of N-acetyl-l-cysteine induced significant inhibition of toxicity and oxidative stress in nematodes exposed to 45–60 d of photoaged PE. The Pearson correlation results showed that the concentration of EPFRs was significantly correlated with physiological indicators, oxidative stress, and related-genes expression in nematodes. The data confirmed that the generation of EPFRs combined with heavy metals and organics contributed to toxicity induced by photoaged PE, and oxidative stress might be involved in regulating adverse effects in C. elegans. The study provides new insight into the potential risks of microbeads released into the environment during photoaging. The findings also highlight the necessity for considering the role of EPFRs formation in evaluating the impacts of microbeads.

BuShen JianGu Fang alleviates cartilage degeneration via regulating multiple genes and signaling pathways to activate NF-κB/Sox9 axis

BackgroundOsteoarthritis (OA) is an inflammatory response in chondrocytes, causing extracellular matrix (ECM) degradation and cartilage destruction, affecting millions of people worldwide. Chinese herbal formulae BuShen JianGu Fang (BSJGF) has been clinically applied for treating OA-related syndromes, but the underlying mechanism still unclear. MethodsThe components of BSJGF were analyzed by liquid chromatography-mass spectrometry (LC-MS). To make a traumatic OA model, the anterior cruciate ligament of 6-8-week-old male SD rats were cut and then the 0.4 mm metal was used to destroy the knee joint cartilage. OA severity was assessed by histological and Micro-CT. Mouse primary chondrocytes were utilized to investigate the mechanism of BSJGF alleviate osteoarthritis, which was examined by RNA-seq technology combined with a series of functional experiments. ResultsA total 619 components were identified by LC-MS. In vivo, BSJGF treatment result in a higher articular cartilage tissue area compared to IL-1β group. Treatment also significantly increased Tb.Th, BV/TV and BMD of subchondral bone (SCB), which implied a protective effect on maintaining the stabilization of SCB microstructure. In vitro results indicated BSJGF promoted chondrocyte proliferation, increased the expression level of cartilage-specific genes (Sox9, Col2a1, Acan) and synthesized acidic polysaccharide, while inhibiting the release of catabolic enzymes and production of reactive oxygen species (ROS) induced by IL-1β. Transcriptome analysis showed that there were 1471 and 4904 differential genes between IL-1β group and blank group, BSJGF group and IL-1β group, respectively, including matrix synthesis related genes (Col2a1, H19, Acan etc.), inflammation related genes (Comp, Pcsk6, Fgfr3 etc.) and oxidative stress related genes (Gm26917, Bcat1, Sod1 etc.). Furthermore, KEGG analysis and validation results showed that BSJGF reduces OA-mediated inflammation and cartilage damaged due to modulation of NF-κB/Sox9 signaling axis. ConclusionThe innovation of the present study was the elucidation of the alleviating cartilage degradation effect of BSJGF in vivo and in vitro and discovery of its mechanism through RNA-seq combined with function experiments, which provides a biological rationale for the clinical application of BSJGF for OA treatment.

Integrated analysis identifies oxidative stress-related lncRNAs associated with progression and prognosis in colorectal cancer

BackgroundColorectal cancer (CRC) is one of the most common cancers in the world. Oxidative stress reactions have been reportedly associated with oncogenesis and tumor progression. By analyzing mRNA expression data and clinical information from The Cancer Genome Atlas (TCGA), we aimed to construct an oxidative stress-related long noncoding RNA (lncRNA) risk model and identify oxidative stress-related biomarkers to improve the prognosis and treatment of CRC.ResultsDifferentially expressed oxidative stress-related genes (DEOSGs) and oxidative stress-related lncRNAs were identified by using bioinformatics tools. An oxidative stress-related lncRNA risk model was constructed based on 9 lncRNAs (AC034213.1, AC008124.1, LINC01836, USP30-AS1, AP003555.1, AC083906.3, AC008494.3, AC009549.1, and AP006621.3) by least absolute shrinkage and selection operator (LASSO) analysis. The patients were then divided into high- and low-risk groups based on the median risk score. The high-risk group had a significantly worse overall survival (OS) (p < 0.001). Receiver operating characteristic (ROC) and calibration curves displayed the favorable predictive performance of the risk model. The nomogram successfully quantified the contribution of each metric to survival, and the concordance index and calibration plots demonstrated its excellent predictive capacity. Notably, different risk subgroups showed significant differences in terms of their metabolic activity, mutation landscape, immune microenvironment and drug sensitivity. Specifically, differences in the immune microenvironment implied that CRC patients in certain subgroups might be more responsive to immune checkpoint inhibitors.ConclusionsOxidative stress-related lncRNAs can predict the prognosis of CRC patients, which provides new insight for future immunotherapies based on potential oxidative stress targets.

Dynamic assessment of the relationship between oxidative stress and apoptotic pathway in embryonic fibroblast cells exposed to glycidamide: possible protective role of hesperidin.

Worldwide research is being conducted to determine the level of acrylamide (ACR) that humans are exposed to from food and environmental sources. Glycidamide (GA) is an important epoxide metabolite of ACR, and its cytotoxicity is stronger than ACR. In this study, it was aimed to elucidate the effects and underlying mechanisms of GA on the induction of apoptosis in embryonic fibroblast cells. The toxicogenomic profile of GA was studied in terms of both apoptotic and oxidative stress. Embryonic fibroblast cells were exposed to GA (1 and 1000µM) in the presence and absence of hesperidin (Hes) (20µM) or vitamin C (VitC) (50µM) for 24h. Cell viability, cytotoxicity, lipid peroxidation, hydroxyl radicals, hydrogen peroxide, antioxidant enzyme levels and gene expressions, apoptotic, and oxidative stress-related gene expressions were measured in embryonic fibroblast cells. The results showed that GA induced cytotoxicity and diminished the expression levels of apoptotic genes. Furthermore, GA increased the levels of oxidative stress markers and significantly changed the oxidative stress-related gene expression. It has been determined that antioxidant molecules are considerably suppressed in GA-induced toxicity at both gene and enzyme levels. In addition to these results, when VitC, which is known to have strong antioxidant properties in eliminating the toxic effects of GA, is taken as reference, it has been proven that Hes has stronger antioxidant properties compared to VitC. Finally, GA-induced apoptosis in embryonic fibroblast cells is associated with nuclear factor erythroid 2-related factor 2 (Nrf2)-dependent oxidative stress and Hes has antioxidant properties with strong effects.

Identification of Prognosis-Related Oxidative Stress Model with Immunosuppression in HCC

For hepatocellular carcinoma (HCC) patients, we attempted to establish a new oxidative stress (OS)-related prognostic model for predicting prognosis, exploring immune microenvironment, and predicting the immunotherapy response. Significantly differently expressed oxidative stress-related genes (DEOSGs) between normal and HCC samples from the Cancer Genome Atlas (TCGA) were screened, and then based on weighted gene coexpression network analysis (WGCNA), HCC-related hub genes were discovered. Based on the least absolute shrinkage and selection operator (LASSO) and cox regression analysis, a prognostic model was developed. We validated the prognostic model's predictive power using an external validation cohort: the International Cancer Genome Consortium (ICGC).Then a nomogram was determined. Furthermore, we also examined the relationship of the risk model and clinical characteristics as well as immune microenvironment. 434 DEOSGs, comprising 62 downregulated and 372 upregulated genes (p < 0.05 and |log2FC| ≥ 1), and 257 HCC-related hub genes were recognized in HCC. Afterward, we built a five-DEOSG (LOX, CYP2C9, EIF2B4, EZH2, and SRXN1) prognostic risk model. Using the nomogram, the risk model was shown to have good prognostic value. Compared to the low risk group, HCC patients with high risk had poorer outcomes, worse pathological grades, and advanced tumor stages (p < 0.05). There were significant increases in LOX, EIF2B4, EZH2, and SRXN1 expression in HCC samples, while CYP2C9 expression was decreased. Finally, Real-time PCR (RT-qPCR) confirmed the mRNA expressions of five genes (CYP2C9, EIF2B4, EZH2, SRXN1, LOX) in HCC cell lines. Our study constructed a prognostic OS-related model with strong predictive power and potential as an immunosuppressive biomarker for HCC leading to improving prediction and providing new insights for HCC immunotherapy.

Identification and validation of a novel prognostic signature based on mitochondria and oxidative stress related genes for glioblastoma

BackgroundMitochondria represent a major source of reactive oxygen species (ROS) in cells, and the direct increase in ROS content is the primary cause of oxidative stress, which plays an important role in tumor proliferation, invasion, angiogenesis, and treatment. However, the relationship between mitochondrial oxidative stress-related genes and glioblastoma (GBM) remains unclear. This study aimed to investigate the value of mitochondria and oxidative stress-related genes in the prognosis and therapeutic targets of GBM.MethodsWe retrieved mitochondria and oxidative stress-related genes from several public databases. The LASSO regression and Cox analyses were utilized to build a risk model and the ROC curve was used to assess its performance. Then, we analyzed the correlation between the model and immunity and mutation. Furthermore, CCK8 and EdU assays were utilized to verify the proliferative capacity of GBM cells and flow cytometry was used to analyze apoptosis rates. Finally, the JC-1 assay and ATP levels were utilized to detect mitochondrial function, and the intracellular ROS levels were determined using MitoSOX and BODIPY 581/591 C11.Results5 mitochondrial oxidative stress-related genes (CTSL, TXNRD2, NUDT1, STOX1, CYP2E1) were screened by differential expression analysis and Cox analysis and incorporated in a risk model which yielded a strong prediction accuracy (AUC value = 0.967). Furthermore, this model was strongly related to immune cell infiltration and mutation status and could identify potential targeted therapeutic drugs for GBM. Finally, we selected NUDT1 for further validation in vitro. The results showed that NUDT1 was elevated in GBM, and knockdown of NUDT1 inhibited the proliferation and induced apoptosis of GBM cells, while knockdown of NUDT1 damaged mitochondrial homeostasis and induced oxidative stress in GBM cells.ConclusionOur study was the first to propose a prognostic model of mitochondria and oxidative stress-related genes, which provided potential therapeutic strategies for GBM patients.

Identification and validation of immune and oxidative stress-related diagnostic markers for diabetic nephropathy by WGCNA and machine learning.

Diabetic nephropathy (DN) is the primary cause of end-stage renal disease, but existing therapeutics are limited. Therefore, novel molecular pathways that contribute to DN therapy and diagnostics are urgently needed. Based on the Gene Expression Omnibus (GEO) database and Limma R package, we identified differentially expressed genes of DN and downloaded oxidative stress-related genes based on the Genecard database. Then, immune and oxidative stress-related hub genes were screened by combined WGCNA, machine learning, and protein-protein interaction (PPI) networks and validated by external validation sets. We conducted ROC analysis to assess the diagnostic efficacy of hub genes. The correlation of hub genes with clinical characteristics was analyzed by the Nephroseq v5 database. To understand the cellular clustering of hub genes in DN, we performed single nucleus RNA sequencing through the KIT database. Ultimately, we screened three hub genes, namely CD36, ITGB2, and SLC1A3, which were all up-regulated. According to ROC analysis, all three demonstrated excellent diagnostic efficacy. Correlation analysis revealed that the expression of hub genes was significantly correlated with the deterioration of renal function, and the results of single nucleus RNA sequencing showed that hub genes were mainly clustered in endothelial cells and leukocyte clusters. By combining three machine learning algorithms with WGCNA analysis, this research identified three hub genes that could serve as novel targets for the diagnosis and therapy of DN.