Nucleosides, Nucleotides & Nucleic Acids最新文献

Cancer stem cells (CSCs) are a subset of tumor cells that were first identified in blood cancers (leukemia) and are considered promising therapeutic targets in cancer treatment. These cells are the cause of many malignancies including metastasis, heterogeneity, drug resistance, and tumor recurrence. They carry out these activities through multiple transcriptional programs and signaling pathways. This review summarizes the characteristics of cancer stem cells, explains their key signaling pathways and factors, and discusses targeted therapies for cancer stem cells. Investigating these mechanisms and signaling pathways responsible for treatment failure may help identify new therapeutic pathways in cancer.

In this study, Taguchi optimization method was applied to determine the optimum operating conditions for batch adsorption of Cr(VI) from aqueous solution. Initial pH of solution, adsorbent dose, initial hexavalent chromium concentration, contact time and adsorbent type were selected as the variables, and the removal efficiency of Cr(VI) was chosen for the designated response. L₁₈(3⁵) orthogonal array, signal-to-noise (S/N) ratio and analysis of variance statistical procedures were applied to identify the effect of each operating parameter on the removal of Cr(VI) from aqueous solution. The signal-to-noise (S/N) ratio results showed that the optimal combination for Cr(VI) removal was at pH 1.0, adsorbent dose of 3.6 g.L^-1, Cr(VI) concentration of 30 mg.L^-1, contact time of 95 min and olive leaves as adsorbent type. A removal of 95.09% was obtained at these optimum conditions. The analysis of variance of the data revealed that initial pH of solution was the most dominant parameter affecting Cr(VI) removal efficiency, followed by adsorbent type, adsorbent dose, contact time and initial metal concentration. Under optimal conditions, adsorption kinetic of Cr(VI) was studied and modeled using the pseudo first-order, pseudo-second-order and intraparticle diffusion models. It was found that the pseudo-second-order model fitted the adsorption data most with the highest determination coefficient (R² = 0.996). Freundlich isotherm model, with regression coefficient R² of 0.953, fit well with the equilibrium isotherm data. The Langmuir maximum adsorption capacity was found to be 62.5 mg.g^-1. The experimental values of ΔH°, ΔG° and ΔS° revealed that the adsorption process was spontaneous and endothermic.

Nonalcoholic fatty liver disease (NAFLD) is a spectrum of chronic liver disease characterized. The condition ranges from isolated excessive hepatocyte triglyceride accumulation and steatosis (nonalcoholic fatty liver (NAFL), to hepatic triglyceride accumulation plus inflammation and hepatocyte injury (nonalcoholic steatohepatitis (NASH)) and finally to hepatic fibrosis and cirrhosis and/or hepatocellular carcinoma (HCC). However, the mechanism driving this process is not yet clear. Obtain sample microarray from the GEO database. Extract 6 healthy liver samples, 74 nonalcoholic hepatitis samples, 8 liver cirrhosis samples, and 53 liver cancer samples from the GSE164760 dataset. We used the GEO2R tool for differentially expressed genes (DEGs) analysis of disease progression (nonalcoholic hepatitis healthy group, cirrhosis nonalcoholic hepatitis group, and liver cancer cirrhosis group) and necroptosis gene set. Gene set variation analysis (GSVA) is used to evaluate the association between biological pathways and gene features. The STRING database and Cytoscape software were used to establish and visualize protein-protein interaction (PPI) networks and identify the key functional modules of DEGs, drawn factor-target genes regulatory network. Gene Ontology (GO) and KEGG pathway enrichment analyses of DEGs were also performed. Additionally, immune infiltration patterns were analyzed using the cibersort, and the correlation between immune cell-type abundance and DEGs expression was investigated. We further screened and obtained a total of 152 intersecting DEGs from three groups. 23 key genes were obtained through the MCODE plugin. Transcription factors regulating common differentially expressed genes were obtained in the hTFtarget database, and a TF target network diagram was drawn. There are 118 nodes, 251 edges, and 4 clusters in the PPI network. The key genes of the four modules include METAP2, RPL14, SERBP1, EEF2; HR4A1; CANX; ARID1A, UBE2K. METAP2, RPL14, SERBP1 and EEF2 was identified as the key hub genes. CREB1 was identified as the hub TF interacting with those gens by taking the intersection of potential TFs. The types of key gene changes were genetic mutations. It can be seen that the incidence of key gene mutations is 1.7% in EEF2, 0.8% in METAP2, and 0.3% in RPL14, respectively. Finally, We found that the most significant expression differences of the immune infiltrating cells among the three groups, were Tregs and M2, M0 type macrophages. We identified four hub genes METAP2, RPL14, SERBP1 and EEF2 being the most closely with the process from NASH to cirrhosis to HCC. It is beneficial to examine and understand the interaction between hub DEGs and potential regulatory molecules in the process. This knowledge may provide a novel theoretical foundation for the development of diagnostic biomarkers and gene-related therapy targets in the process.

Alzheimer's Disease (AD) is a multifactorial neurodegenerative disease and there is still no definitive treatment today. Early diagnosis of the disease is important, but there are almost no biomarkers that can be used in early diagnosis. The cerebrospinal fluid used in the diagnosis of the disease is not sufficient and is very difficult to obtain. Therefore, blood biomarkers that are less costly, less invasive, easily accessible, and can be used in long-term studies would be a better alternative. The aim of this study is to determine the relationship between Alzheimer's Disease and P301L MAPT gene mutation, homocysteine, folate and uric acid. 101 Alzheimer's patients and 101 healthy individuals were included in this study. Mutation analysis was performed using the Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) method with blood samples taken from the subjects. There was no significant difference between the patient and control groups in terms of homocysteine (p = 0.771), folate (p = 0.366) and uric acid (p = 0.860). When the genotypes were compared between the patient and control groups in terms of MAPT gene mutation (P301L), no statistically significant difference was detected (p = 0.081). There are very few studies in the literature investigating the relationship between Alzheimer's disease and P301L MAPT gene mutation. Additionally, there is no study investigating the relationship between Alzheimer's disease and homocysteine, folate, uric acid and P301L MAPT mutation in the Turkish population. We believe that this study has shed light on future studies.

Hereditary spherocytosis (HS) is the most common hereditary hemolytic disorder induced by red blood cell (RBC) membrane defect. This study was undertaken to determine mutations in genes associated with RBC membrane defect in patients with HS such as α-spectrin gene (SPTA1), β-spectrin gene (SPTB), ankyrin gene (ANK1), band 3 anion transport gene (SLC4A1) and erythrocyte membrane protein band 4.1 gene (EPB41). Blood samples were collected from 23 unrelated patients with HS. Patients were diagnosed according to the guidelines from the British Society for Hematology. All hematological examinations for the determination of RBC abnormalities and osmotic fragility tests were conducted. Genomic DNA were extracted from peripheral blood cells and coding exons of known genes for hereditary spherocytosis were enriched using Roche/KAPA sequence capture technology and sequenced on an Illumina system via next-generation sequencing (NGS). The data showed that most of the HS patients confirmed splenomegaly and showed elevated reticulocytes and abnormal bilirubin values. NGS analysis identified the heterozygous variant c.5501G > A in the exon 39 of SPTA1 gene, resulted in a Trp1834*, which leads to a premature stop codon and subsequent mRNA degradation (nonsense- mediated decay) or truncation in α spectrin. Moreover, our data also revealed conventional mutations in genes SPTB, ANK, SLC4A1 and EBP41 in severe patients of HS. In short, this is the first report that determined a novel mutation c.5501G > A in SPTA1 gene in the Saudi population. To the best of our knowledge, this variant c.5501G > A has not been described in global literature so far. This novel mutation in SPTA1 gene is unique in the Saudi population.

Bladder cancer (BC) has shown a significant global health concern with distinct pathological, genetic, and epigenetic characteristics. Its prevalence is influenced by various risk factors, including age, gender, and genetic predisposition. This study investigates the association between BC and the Sirtuin 1 (SIRT1) gene polymorphism rs369274325 in the Turkish population. Genomic DNA was isolated from peripheral blood samples and genotyping of rs369274325 polymorphism in SIRT 1 was investigated in 200 individuals (in 100 Turkish bladder cancer patients and 100 healthy individuals as the control group.) by real-time PCR. Demographic information, smoking and alcohol consumption status was analyzed by statistical analysis. Statistical analysis was performed by Pearson's Chi-square test. Smoking and alcohol consumption were significantly higher in BC patients compared to controls (p < 0.00018 and p < 0.0001, respectively). The genotypic distribution of SIRT1 rs369274325 did not show a significant difference between BC patients and controls (p = 0.5550). BC, influenced by genetic and environmental factors, has been linked to various gene mutations. SIRT1, involved in diverse physiological processes, is proposed to play a role in BC. However, our study did not find a significant association between SIRT1 rs369274325 polymorphism and BC in the Turkish population.

Despite the fact that some cases of tuberculosis (TB) are undiagnosed and untreated, it remains a serious global public health issue. In the diagnosis, treatment, and control of latent and active TB, there may be a lack of effectiveness. An understanding of metabolic pathways can be fundamental to treat latent TB infection and active TB disease. Rather than targeting Mycobacterium tuberculosis, the control strategies aim to strengthen host responses to infection and reduce chronic inflammation by effectively enhancing host resistance to infection. The pathogenesis and progression of TB are linked to several metabolites and metabolic pathways, and they are potential targets for host-directed therapies. Additionally, metabolic pathways can contribute to the progression of lung cancer in patients with latent or active TB. A comprehensive metabolic pathway analysis is conducted to highlight lung cancer development in latent and active TB. The current study aimed to emphasize the association between metabolic pathways of tumor development in patients with latent and active TB. Health control programs around the world are compromised by TB and lung cancer due to their special epidemiological and clinical characteristics. Therefore, presenting the importance of lung cancer progression through metabolic pathways occurring upon TB infection can open new doors to improving control of TB infection and active TB disease while stressing that further evaluations are required to uncover this correlation.

The novel N-naphthylcyanoacrylamide thioglycosides 4 were readily prepared by the reaction of N-napthylcyanoacetamide 1 with aryl isothiocyanates in the presence of potassium hydroxide, followed by coupling of the produced salts 2 with 2,3,4,6-tetra-O-acetyl-α-d-gluco- and galacto-pyranosyl bromides 3. The N-naphthyl acrylamide thioglycoside 12 was prepared by the reaction of N-napthylcyanoacetamide 1 with glucose isothiocyante 10 in the presence of potassium hydroxide, followed by alkylation of the produced salt 11 with methyl iodide. The reaction of thioglycoside compounds 4 with hydrazines afforded the corresponding naphthyl-pyrazole hybrids.

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), while generalized vitiligo(GV) is an autoimmune disease that causes the loss of functional melanocytes, resulting in white patches all over the body. Human Leukocyte Antigen (HLA) plays a crucial role in immune response to pathogens. Studies assessing the link between GV and COVID-19 are lacking; therefore, our current study was aimed to establish the association between GV and HLAB27 by genotyping the HLAB27 allele in 150 GV patients and 150 controls from South Gujarat population through polymerase chain reaction-sequence-specific primers (PCR-SSP) method. Additionally, we assessed the correlation of GV with COVID-19 and the influence of HLAB27 on COVID-19 development. Interestingly, our study suggested that the HLAB27 allele was prevalent in GV patients as compared to controls (52% vs 35.33%; p = 0.0051). Moreover, the occurrence of COVID-19 was significantly lower in GV patients than in controls (10% vs 32.66%; p < 0.0001). Disease activity-based analysis suggested that COVID-19 occurrence was significantly lower in active vitiligo (AV) patients as compared to stable vitiligo (SV) patients(6.87% vs 31.57%; p = 0.0045). Furthermore, COVID-19 development was significantly reduced in HLAB27 positive individuals as compared to HLAB27 negative individuals (p = 0.0025). Overall, our study suggests, for the first time, that HLAB27 allele might be a genetic risk factor for GV susceptibility, and an ongoing immune response in GV patients, more specifically in AV patients, might protect against COVID-19 infection in South Gujarat population. Additionally, our study highlighted the likely role of HLAB27 in protection against COVID-19 development.

The skeletal muscle capillary supply mainly determines the highest exercise capacity. Vascular endothelial growth factor (VEGF) is the major growth factor during the angiogenesis process. Therefore, we aimed to investigate whether the VEGF insertion/deletion (I/D) variant differs between athletes and sedentary controls in the Turkish population. Three hundred sixteen subjects, including 146 athletes from different branches and 170 sedentary people, voluntarily participated in this study. Genomic DNA was isolated and genotyped using polymerase chain reaction (PCR) analysis for the VEGF I/D variant. The results were evaluated statistically. In this study, the athletes and the controls showed a statistically significant difference in the genotype and allele distribution of the VEGF I/D variant. The athletes had a more prevalent D allele and D/D genotype than the controls (p = 0.008 and p = 0.034, respectively). There was a statistically significant association between the patients and the controls in terms of D/D vs. I/I + I/D genotypes (p = 0.018). There was no significant difference in VEGF I/D genotype distribution according to sports branches. Athletic performance is a complex trait influenced by genetic and environmental factors. As far as we know, this is the first study to evaluate the VEGF I/D variant in athletes in Turkey. According to our results in this study, we concluded that the VEGF I/D variant, D/D genotype, and D allele are associated with sport performance in the Turkish population. However, there is a need for studies with large samples in which environmental and emotional factors will also be taken into account.