Association between oxidative balance score and kidney stones: data from the national health and nutrition examination survey (NHANES).

PURPOSE: Some studies have found that the pathological formation of kidney stones is closely related to injury and inflammatory response. Behaviors such as dietary composition, physical activity, obesity and smoking can all affect the body's oxidative stress levels. In order to evaluate the effects of various diets and lifestyles on the body's oxidative and antioxidant systems, an oxidative balance score was developed. To investigate whether the OBS is associated with the development of kidney stones. METHODS: Data were taken from the National Health and Nutrition Examination Survey (NHANES) from 2007-2018, followed by retrospective observational studies. The association between kidney stones and OBS was analyzed using survey-weighted logistic regression by adjusting for demographics, laboratory tests, and medical comorbidity covariates. The oxidative balance score is calculated by screening 16 nutrients and 4 lifestyle factors, including 5 prooxidants and 15 antioxidants, based on prior information about the relationship between oxidation levels in the body and nutrients or lifestyle factors. RESULTS: A total of 26,786 adult participants were included in the study, of which 2,578, or 9.62%, had a history of nephrolithiasis. Weighted logistic regression analysis found an association between OBS and kidney stones. In the fully tuned model, i.e., model 3, the highest quartile array of OBS was associated with the lowest quartile array of OBS (OR = 0.73 (0.57, 0.92)) with the risk of kidney stone (p = 0.01), and was statistically significant and remained relatively stable in each model. At the same time, the trend test in the model is also statistically significant. With the increase of OBS, the OR value of kidney stones generally tends to decrease. CONCLUSIONS: There is an inverse correlation between OBS and kidney stone disease. At the same time, higher OBS suggests that antioxidant exposure is greater than pro-oxidative exposure in diet and lifestyle, and is associated with a lower risk of kidney stones.

Age-Related Macular Degeneration Choroidal Vascular Distribution Characteristics Based on Indocyanine Green Angiography.

Purpose: The purpose of this study was to present our findings of the distribution pattern of choroidal arteries and large veins in patients with age-related macular degeneration (AMD) using indocyanine green angiography (ICGA). Methods: A retrospective analysis was conducted on 980 patients who underwent ICGA at The Second Affiliated Hospital of Xi'an Jiaotong University from 2017 to 2023, including 240 patients with AMD. Secondary image processing was applied to the angiographic videos to obtain posterior distribution maps of choroidal arteries and large veins. Differences between different distribution patterns regarding age, gender, eye laterality, and circulation time were compared. We also conducted a comparison of choroidal vascular distribution characteristics between patients with AMD and patients with diabetic retinopathy (DR) and provided a summary of choroidal vascular distribution patterns in AMD. Results: The filling patterns of choroidal arteries can be classified into the invisible trunk arteries type, the partially masked trunk arteries type, and the exposed trunk arteries type. The vascular topography of the large choroidal vein can be classified into the watershed type, the non-watershed type, and the unknown type, further divided into six subtypes. The distribution patterns of choroidal arteries and veins were significantly correlated with age (P < 0.001). Left eye, older age, and the exposed trunk arteries type were independent risk factors for non-watershed large choroidal vein (P < 0.05). The non-watershed type was the main characteristic of the venous phase in AMD. Conclusions: The distribution characteristics of the arterial and venous patterns in AMD suggest atrophy of the small blood vessels in the choroid and insufficient perfusion pressure of the blood flow.

Inhibition of autophagy can promote the apoptosis of bladder cancer cells induced by SC66 through the endoplasmic reticulum stress pathway.

Bladder cancer is among the ten most prevalent cancer types worldwide, and its prognosis has not improved significantly in the past three decades because of cognitive limitations in the molecular mechanisms that drive the malignant progression of bladder cancer. Therefore, there is an urgent need to identify new therapeutic drugs or molecular targets to improve the prognosis of patients with bladder cancer. SC66, a novel allosteric inhibitor of AKT, has recently been reported to exert potent anticancer effects on various cancer cells. However, the mechanisms underlying its anticancer effects in bladder cancer remain largely unknown. Consequently, this study aimed to conduct a series of molecular and cellular biology experiments to verify the anticancer effect and potential mechanism of action of SC66 in bladder cancer in vitro. A xenograft tumor model was established to confirm its anticancer role in vivo. Our results showed that SC66 inhibited cell proliferation, triggered mitochondria-mediated apoptosis, and initiated autophagy in bladder cancer cells dose-dependently. In addition, our results suggested that SC66-caused apoptosis and autophagy were endoplasmic reticulum stress-dependent. Interestingly, the activation of autophagy can partially protect bladder cancer cells from apoptosis under endoplasmic reticulum stress induced by SC66 treatment. This study shows that SC66 exerts its anticancer impact on bladder cancer by inhibiting cell proliferation and inducing apoptosis. It also reveals that inhibiting autophagy can increase the cytotoxic effects of SC66 in bladder cancer. Overall, this is the first study on the anticancer effect of SC66 mediated by the endoplasmic reticulum stress pathway and the first report on the AKT-independent anticancer mechanism of SC66 in bladder cancer. Conclusively, exploring the relationship between apoptosis, autophagy, and endoplasmic reticulum stress induced by SC66 indicates that SC66 is a promising novel agent for patients with bladder cancer.

Biological Properties of Arginine-rich Peptides and their Application in Cargo Delivery to Cancer.

Cell-penetrating peptides (CPPs) comprise short peptides of fewer than 30 amino acids, which are rich in arginine (Arg) or lysine (Lys). CPPs have attracted interest in the delivery of various cargos, such as drugs, nucleic acids, and other macromolecules over the last 30 years. Among all types of CPPs, arginine-rich CPPs exhibit higher transmembrane efficiency due to bidentate bonding between their guanidinium groups and negatively charged cellular components. Besides, endosome escape can be induced by arginine-rich CPPs to protect cargo from lysosome-dependent degradation. Here we summarize the function, design principles, and penetrating mechanisms of arginine-rich CPPs, and outline their biomedical applications in drug delivery and biosensing in tumors.

Potential mechanisms of osthole against bladder cancer cells based on network pharmacology, molecular docking, and experimental validation.

BACKGROUND: Osthole was traditionally used in treatment for various diseases. However, few studies had demonstrated that osthole could suppress bladder cancer cells and its mechanism was unclear. Therefore, we performed a research to explore the potential mechanism for osthole against bladder cancer. METHODS: Internet web servers SwissTargetPrediction, PharmMapper, SuperPRED, and TargetNet were used to predict the Osthole targets. GeneCards and the OMIM database were used to indicate bladder cancer targets. The intersection of two target gene fragments was used to obtain the key target genes. Protein-protein interaction (PPI) analysis was performed using the Search Tool for the Retrieval of Interacting Genes (STRING) database. Furthermore, we used gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses to explore the molecular function of target genes. AutoDock software was then used to perform molecular docking of target genes,osthole and co-crystal ligand. Finally, an in vitro experiment was conducted to validate bladder cancer inhibition by osthole. RESULTS: Our analysis identified 369 intersection genes for osthole, the top ten target genes included MAPK1, AKT1, SRC, HRAS, HASP90AA1, PIK3R1, PTPN11, MAPK14, CREBBP, and RXRA. The GO and KEGG pathway enrichment results revealed that the PI3K-AKT pathway was closely correlated with osthole against bladder cancer. The osthole had cytotoxic effect on bladder cancer cells according to the cytotoxic assay. Additionally, osthole blocked the bladder cancer epithelial-mesenchymal transition and promoted bladder cancer cell apoptosis by inhibiting the PI3K-AKT and Janus kinase/signal transducer and activator of transcription (JAK/STAT3) pathways. CONCLUSIONS: We found that osthole had cytotoxic effect on bladder cancer cells and inhibited invasion, migration, and epithelial-mesenchymal transition by inhibiting PI3K-AKT and JAK/STAT3 pathways in in vitro experiment. Above all, osthole might have potential significance in treatment of bladder cancer. SUBJECTS: Bioinformatics, Computational Biology, Molecular Biology.

Identification of a six-gene prognostic signature for bladder cancer associated macrophage.

As major components of the tumor microenvironment (TME), tumor-associated macrophages (TAMs) play an exceedingly complicated role in tumor progression and tumorigenesis. However, few studies have reported the specific TAM gene signature in bladder cancer. Herein, this study focused on developing a TAM-related prognostic model in bladder cancer patients based on The Cancer Genome Atlas (TCGA) data. Weighted Gene Co-Expression Network Analysis (WGCNA) was used to identify key genes related to TAM (M2 macrophage). Gene ontology (GO) enrichment and the Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway analysis showed the functional categories of the key genes. Simultaneously, we used the Least Absolute Shrinkage and Selection Operator (LASSO) and univariate and multivariate Cox regressions to establish a TMA-related prognostic model containing six key genes: TBXAS1, GYPC, HPGDS, GAB3, ADORA3, and FOLR2. Subsequently, single-cell sequencing data downloaded from Gene Expression Omnibus (GEO) suggested that the six genes in the prognostic model were expressed in TAM specifically and may be involved in TAM polarization. In summary, our research uncovered six-TAM related genes that may have an effect on risk stratification in bladder cancer patients and could be regarded as potential TAM-related biomarkers.

Identification of a Six-Gene Prognostic Signature Characterized by Tumor Microenvironment Immune Profiles in Clear Cell Renal Cell Carcinoma.

Clear cell renal cell carcinoma (ccRCC) is widely acknowledged to be extremely sensitive to immunotherapy, emphasizing the tremendous impacts on which the tumor microenvironment (TME) has shown. However, the molecular subgroups characterized by the TME features scarcely serve as the risk stratification guides in clinical practice for survival outcomes and immunotherapy response prediction. This study generated fresh insights into a novel TME-related prognostic signature derived from The Cancer Genome Atlas database using integrated bioinformatics analyses. Subsequently, Kaplan-Meier survival analysis, receiver operating characteristic analysis, and univariate and multivariate Cox regression analysis were performed to evaluate and validate the efficacy and the accuracy of the signature in ccRCC prognosis. Furthermore, we discovered that the risk score presented an increased likelihood of correlation with miscellaneous clinicopathological characteristics, natural killer cell-mediated cytotoxicity, immune cell infiltration levels, and immune checkpoint expression. These findings highlighted the notion that the six-gene signature characterized by the TME features may have implications on the risk stratification for personalized and precise immunotherapeutic management.

Identification of CCL4 as an Immune-Related Prognostic Biomarker Associated With Tumor Proliferation and the Tumor Microenvironment in Clear Cell Renal Cell Carcinoma.

The last decade has witnessed revolutionary advances taken in immunotherapy for various malignant tumors. However, immune-related molecules and their characteristics in the prediction of clinical outcomes and immunotherapy response in clear cell renal cell carcinoma (ccRCC) remain largely unclear. C-C Motif Chemokine Ligand 4 (CCL4) was extracted from the intersection analysis of common differentially expressed genes (DEGs) of four microarray datasets from the Gene Expression Omnibus database and immune-related gene lists in the ImmPort database using Cytoscape plug-ins and univariate Cox regression analysis. Subsequential analysis revealed that CCL4 was highly expressed in ccRCC patients, and positively correlated with multiple clinicopathological characteristics, such as grade, stage and metastasis, while negatively with overall survival (OS). We performed gene set enrichment analysis (GSEA) and gene set variant analysis (GSVA) with gene sets coexpressed with CCL4, and observed that gene sets positively related to CCL4 were enriched in tumor proliferation and immune-related pathways while metabolic activities in the negatively one. To further explore the correlation between CCL4 and immune-related biological process, the CIBERSORT algorithm, ESTIMATE method, and tumor mutational burden (TMB) score were employed to evaluate the tumor microenvironment (TME) characteristics of each sample and confirmed that high CCL4 expression might give rise to high immune cell infiltration. Moreover, correlation analysis revealed that CCL4 was positively correlated with common immune checkpoint genes, such as programmed cell death protein 1 (PD-1), cytotoxic T-lymphocyte-associated protein 4 (CTLA4), and lymphocyte activating 3 (LAG3). Overall, this study demonstrated that CCL4 might serve as a potential immune-related prognostic biomarker to predict clinical outcomes and immunotherapy response in ccRCC. Moreover, CCL4 might contribute to TME modulation, indicating the mechanism CCL4 involved in tumor proliferation and metastasis, which could provide novel therapeutic perceptions for ccRCC patients.

Lung cancer pathogenesis and poor response to therapy were dependent on driver oncogenic mutations.

AIMS: Lung cancer was the most fatal malignancy, dominated the cancer related mortality list for years, and we tried to distinguish the lung adenocarcinoma patients at higher risk from those bearing lower therapy resistance and recurrence risk. MATERIALS: Patients information from clinical Sequencing Cohorts and from the Regional Medical Center of the Middle-West China were included. The whole-exome sequencing was analyzed for risk evaluation. KEY FINDINGS: We found that Smoking stimulated the oncogenic genes mutations, and the most frequently mutated genes of EGFR, KRAS, and TP53 (E/K/P) were identified. Different N stage affected the survival prognosis of patients bearing E/K/P mutations, but the T stage and AJCC stage did not. Radiation failed to prolong survival of phase II/III patients who didn't receive surgery. In those received surgery, radiation also failed to prolong survival of phase II/III patients. Radiation did not improve the prognosis in patients bearing E/K/P mutation burdens, whose differences were identified in gender or smoking-history classified groups. SIGNIFICANCE: Smoking status and history contributed to oncogenic mutation burdens associated therapy resistance, and the aggressive treatment, especially to radiation, may lead to worse therapy response to current and past smoking behavior.