The long non-coding RNA TAZ-AS202 promotes lung cancer progression via regulation of the E2F1 transcription factor and activation of Ephrin signaling.

Long non-coding RNAs (lncRNAs) are transcripts without coding potential that are pervasively expressed from the genome and have been increasingly reported to play crucial roles in all aspects of cell biology. They have been also heavily implicated in cancer development and progression, with both oncogenic and tumor suppressor functions. In this work, we identified and characterized a novel lncRNA, TAZ-AS202, expressed from the TAZ genomic locus and exerting pro-oncogenic functions in non-small cell lung cancer. TAZ-AS202 expression is under the control of YAP/TAZ-containing transcriptional complexes. We demonstrated that TAZ-AS202 is overexpressed in lung cancer tissue, compared with surrounding lung epithelium. In lung cancer cell lines TAZ-AS202 promotes cell migration and cell invasion. TAZ-AS202 regulates the expression of a set of genes belonging to cancer-associated pathways, including WNT and EPH-Ephrin signaling. The molecular mechanism underlying TAZ-AS202 function does not involve change of TAZ expression or activity, but increases the protein level of the transcription factor E2F1, which in turn regulates the expression of a large set of target genes, including the EPHB2 receptor. Notably, the silencing of both E2F1 and EPHB2 recapitulates TAZ-AS202 silencing cellular phenotype, indicating that they are essential mediators of its activity. Overall, this work unveiled a new regulatory mechanism that, by increasing E2F1 protein, modifies the non-small cell lung cancer cells transcriptional program, leading to enhanced aggressiveness features. The TAZ-AS202/E2F1/EPHB2 axis may be the target for new therapeutic strategies.

Targeting ITGB4/SOX2-driven lung cancer stem cells using proteasome inhibitors.

This study investigates the role of integrin ß4 (ITGB4) and stemness-associated factor SOX2 in platinum resistance in lung squamous cell carcinoma (LUSC). The expression of SOX2 and ITGB4 is found to be high in all LUSC subtypes, but the impact of ITGB4 expression on overall patient survival varies by subtype. Cancer stem cells (CSCs) isolated from LUSC patients were found to be resistant to cisplatin, but knocking down ITGB4 or SOX2 sensitized them to cisplatin. Carfilzomib (CFZ) synergized with cisplatin and suppressed CSC growth by inhibiting ITGB4 and SOX2 expression. Additionally, CFZ was found to inhibit SOX2 expression epigenetically by inhibiting histone acetylation at the SOX2 promoter site. CFZ also suppressed the growth of SOX2-dependent small cell lung cancer cells in vitro and in vivo. The study highlights the unique function of CFZ as a transcriptional suppressor of SOX2, independent of its proteasome inhibitory function.

Development of DNA markers using next-generation sequencing approach for molecular authentication of Boerhavia diffusa L. and Tinospora cordifolia (Willd.) Miers.

The adulteration of plants and their materials used in herbal formulations poses a severe health concern. Hence, there is a need to establish a reliable, cost-effective, and robust molecular biomarker to distinguish among species and identify herbal plants and raw drugs from adulterants. The present study used suppressive subtractive hybridization and next-generation sequencing technology to identify novel DNA markers for Boerhavia diffusa L. and Tinospora cordifolia (Willd.) Miers. We identified two primer sets for B. diffusa and one for T. cordifolia. The DNA markers were validated in different accessions of B. diffusa and T. cordifolia and their common adulterants to determine the sensitivity and specificity of developed DNA markers. The designed DNA markers showed 100% sensitivity and specificity in detecting B. diffusa and T. cordifolia from their adulterants. The strategy described here can be extrapolated for developing DNA markers to authenticate other plant species. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-023-03732-7.

Protocol for Bulk-ATAC sequencing in head and neck squamous cell carcinoma.

The transposase-accessible chromatin using sequencing (ATAC-seq) offers a simplified approach to detect chromatin changes in cancer cells after genetic intervention and drug treatment. Here, we present an optimized ATAC-seq protocol to elucidate chromatin accessibility changes at the epigenetic level in head and neck squamous cell carcinoma cells. We describe steps for cell lysate preparation, transposition, and tagmentation, followed by library amplification and purification. We then detail next-generation sequencing and data analysis. For complete details on the use and execution of this protocol, please refer to Buenrostro et al.,1 Chen et al.,2.

Pharmacogenomic considerations for repurposing of dexamethasone as a potential drug against SARS-CoV-2 infection.

Immunomodulatory and analgesic effects of dexamethasone are clinically well established, and this synthetic corticosteroid acts as an agonist of glucocorticoid receptors. Early results of the RECOVERY Trial from the United Kingdom and others suggest certain benefits of dexamethasone against COVID-19 chronic patients. The efforts have been acknowledged by World Health Organization with an interim guideline to use in patients with a severe and critical illness. The inherent genetic variations in genes such as CYP3A5, NR3C1, NR3C2, etc., involved in the pharmacokinetic and pharmacodynamic processes may influence dexamethasone's effects as an anti-inflammatory drug. Besides, the drug may influence transcriptome or metabolic changes in the individuals. In the present review, we summarize the reported genetic variations that impact dexamethasone response and discuss dexamethasone-induced changes in transcriptome and metabolome that may influence potential treatment outcome against COVID-19.

Lay abstract The surge of COVID-19 cases has increased the need for the development of a cure. This has pushed the barriers of the regulatory controls for randomized controlled trials. There has been the usage of immunomodulatory drugs, such as dexamethasone, with promising results in severe COVID-19 patients to reduce mortality. However, there is a need to consider the inherent genetic factors of an individual that may influence the dexamethasone drug's metabolism and action. To understand this, there is a need to evaluate the genes involved in the pharmacokinetics and pharmacodynamic pathways of the drug and study the effects of the drug. This will aid in choosing the right individuals who will benefit from the therapy. Hence, the present review summarized the reported genetic variations that impact dexamethasone drug response.

SNPs in Sites for DNA Methylation, Transcription Factor Binding, and miRNA Targets Leading to Allele-Specific Gene Expression and Contributing to Complex Disease Risk: A Systematic Review.

INTRODUCTION: The complex genetic diversity among human populations results from an assortment of factors acting at various sequential levels, including mutations, population migrations, genetic drift, and selection. Although there are a plethora of DNA sequence variations identified through genome-wide association studies (GWAS), the challenge remains to explain the mechanisms underlying interindividual phenotypic disparity accounting for disease susceptibility. Single nucleotide polymorphisms (SNPs) present in the sites for DNA methylation, transcription factor (TF) binding, or miRNA targets can alter the gene expression. The systematic review aimed to evaluate the complex crosstalk among SNPs, miRNAs, DNA methylation, and TFs for complex multifactorial disease risk. METHODS: PubMed and Scopus databases were used from inception until May 15, 2019. Initially, screening of articles involved studies assessing the interaction of SNPs with TFs, DNA methylation, or miRNAs resulting in allele-specific gene expression in complex multifactorial diseases. We also included the studies which provided experimental validation of the interaction of SNPs with each of these factors. The results from various studies on multifactorial diseases were assessed. RESULTS: A total of 11 articles for SNPs interacting with DNA methylation, 30 articles for SNPs interacting with TFs, and 11 articles for SNPs in miRNA binding sites were selected. The interactions of SNPs with epigenetic factors were found to be implicated in different types of cancers, autoimmune diseases, cardiovascular diseases, diabetes, and asthma. CONCLUSION: The systematic review provides evidence for the interplay between genetic and epigenetic risk factors through allele-specific gene expression in various complex multifactorial diseases.

DNA demethylation overcomes attenuation of colchicine biosynthesis in an endophytic fungus Diaporthe.

Fungal endophytes, a major component of the plant host microbiome, are known to synthesize plant-derived metabolites in vitro. However, attenuation of metabolite production upon repeated sub-culturing is a major drawback towards utilizing them as an alternative for plant-derived metabolites. In this study, we isolated Diaporthe perseae, a fungal endophyte from Gloriosa superba tubers, which showed the production of colchicine in axenic cultures. Mass spectrometry, Nuclear Magnetic Resonance spectroscopy, and tubulin polymerization assays confirmed the compound to be colchicine. Repeated sub-culturing of the endophyte for 10 generations led to a reduction in the yield of the metabolite from 55.25 µg/g to 2.32 µg/g of mycelial dry weight. Treatment of attenuated cultures with DNA methylation inhibitor 5-azacytidine resulted in increased metabolite concentration (39.68 µg/g mycelial dry weight) in treated samples compared to control (2.61 µg/g mycelial dry weight) suggesting that 5-azacytidine can induce demethylation of the fungal genome to overcome the phenomenon of attenuation of metabolite synthesis. Reduced levels of global methylation were observed upon 5-azacytidine treatment in attenuated cultures (0.41 % of total cytosines methylated) as compared to untreated control (0.78 % of total cytosines methylated). The results provide a significant breakthrough in utilizing fungal endophytes as a veritable source of plant-derived metabolites from critically endangered plants.

CpG-SNP site methylation regulates allele-specific expression of MTHFD1 gene in type 2 diabetes.

The interaction of genetic and epigenetic mechanisms is one of the underlying causes of phenotypic variability in complex diseases such as type 2 diabetes (T2D). To explore the influence of genetic and epigenetic changes in T2D, we examined the effect of methylation of CpG-SNP sites on allele-specific expression (ASE) in one-carbon metabolism pathway genes in T2D. Case-control study was conducted on 860 individuals (430 T2D and 430 controls). CpG-SNPs shortlisted through in silico analysis were genotyped using tetra ARMS PCR and validated using Sanger DNA sequencing. Global DNA methylation was carried out using RP-HPLC. Promoter DNA methylation and CpG site-specific methylation were carried out using bisulfite sequencing. mRNA expression and ASE were examined by SYBR green and TaqMan assay, respectively. Four exonic CpG-SNPs of MTHFD1, MTRR, and GGH genes were identified in folate pathway genes. Among these, MTHFD1 rs2236225 showed significant association with T2D independent of obesity, displayed ASE, and correlated with CpG-SNP site-specific methylation when compared with controls. Our results demonstrate that SNP rs2236225 in the CpG site of MTHFD1, which regulates allele-specific gene expression in PBMCs is methylation dependent and may perturb one-carbon metabolism pathway in T2D subjects.

Coding SNPs in hsa-miR-1343-3p and hsa-miR-6783-3p target sites of CYP2C19 modulates clopidogrel response in individuals with cardiovascular diseases.

AIMS: To investigate the impact of microRNA target SNPs (mirSNPs) and their interaction with miRNAs on important drug-metabolizing enzymes, transporters and target genes for prediction of clopidogrel drug response in cardiovascular disease individuals. MAIN METHODS: A prospective cross-sectional study was conducted on 292 individuals undergoing clopidogrel drug therapy. All the enrolled participants were administered 300 mg loading dose followed by 75 mg dose of maintenance therapy. Platelet aggregations were measured before administration of the loading dose and 2 h post fifth day dose of clopidogrel maintenance therapy. Clopidogrel carboxylic acid metabolite from plasma and urine were analyzed post maintenance therapy using the RP-HPLC method. Genotyping of mirSNP's shortlisted through in silico analysis was performed by tetra ARMS PCR and validated by Sanger DNA sequencing. The levels of selected miRNAs were estimated by the TaqMan-PCR assay. Functional validation of mirSNPs was performed in HepG2 cells after transfecting with the selected gene and miRNA mimics. Protein expressions were analyzed by western blot. KEY FINDINGS: 23% of enrolled individuals showed resistance to clopidogrel therapy. Out of 13 mirSNP's analyzed, CYP2C19 rs4244285 was associated with clopidogrel drug resistance and clopidogrel carboxylic acid metabolite in urine and plasma. hsa-miR-1343-3p and hsa-miR-6783-3p levels were significantly high in individuals with CYP2C19 rs4244285 mutant genotype and these miRNAs down-regulated the protein expression of CYP2C19. SIGNIFICANCE: We demonstrated the role of coding mirSNP (rs4244285) in the regulation of the CYP2C19 gene through miRNAs and its implications to clopidogrel drug response prediction in the Indian population.

Implication of critical pharmacokinetic gene variants on therapeutic response to metformin in Type 2 diabetes.

AIM: Metformin, an oral hypoglycemic drug is the first line of treatment for Type 2 diabetes individuals. We studied the effect of critical gene single nucleotide polymorphisms  on the glucose lowering effect of metformin. METHOD: We performed a prospective study on 221 newly diagnosed, treatment-naive Type 2 diabetes subjects. Individuals were started with metformin monotherapy and followed up for 12 weeks. RESULTS: Our association analysis revealed that SLC22A2 rs316019 and SLC47A2 rs12943590 were significantly associated with metformin drug response across co-dominant and dominant models, respectively. SLC22A2 rs316019 GG and SLC47A2 rs12943590 GA combined genotypes showed maximum average change in HbA1c level. CONCLUSION: The present study proposes a role of SLC22A2 rs316019 and SLC47A2 rs12943590 in the pharmacokinetic action of metformin.

In silico characterization of functional single nucleotide polymorphisms of folate pathway genes.

Folate metabolism genes are pivotal to critical biological processes and are related to several conditions, including developmental, cognitive, and cardiovascular anomalies. A systematic catalog of genetic polymorphisms in protein coding regions, regulatory transcription factor binding sites, and miRNA binding sites associated with folate pathway genes may contribute to personalized medicine. We performed a comprehensive computational survey of single nucleotide polymorphisms (SNPs) of folate pathway genes to highlight functional polymorphisms in the coding region, transcription factor binding sites, and miRNAs binding sites. Folate pathway genes were searched through PubMed and Kyoto Encyclopedia of Genes and Genomes pathway databases. SNPs were identified and characterized using the University of California, Santa Cruz genome browser and SNPnexus tool. Functional characterization of nonsynonymous SNPs (nsSNPS) was performed using bioinformatics tools, and common deleterious nsSNPs were identified. We identified 48 genes of folate pathway containing 287 SNPs in the coding regions. Out of these SNPs, rs5742905, rs45511401, and rs1801133 were predicted to be deleterious through four different bioinformatics tools. Three-dimensional structures of two proteins with and without deleterious nsSNPs were predicted by SWISSPDB viewer and SuperPose. Besides, a total of 237 SNPs was identified in transcription factor binding sites using the Genomatix software suite and six miRNA target site SNPs using miRNASNP. This systematic and extensive in silico analysis of functional SNPs of folate pathway may provide a foundation for future targeted mechanistic, structure-function, and genetic epidemiological studies.

Acute lymphoblastic leukemia and genetic variations in BHMT gene: Case-control study and computational characterization.

BACKGROUND: Remethylation of homocysteine is catalyzed by B12 dependent methionine synthase (MTR) in all types of cells and by B12 non-dependent betaine homocysteine methyltransferase (BHMT) in liver and kidney cells. Of many etiologies of cancer, an unexplored area is the variations of genes implicated in methylation reaction. OBJECTIVE: The study evaluated the association of BHMT (rs3733890) with acute lymphoblastic leukemia (ALL), followed by in-silico characterization of variations in BHMT gene. METHODS: BHMT [rs3733890; c.742G > A, which substitutes an arginine by a glutamine at codon 239 (R239Q)] was screened by Tetra-primer Amplification Refractory Mutation System PCR (T-ARMS-PCR) and confirmed using DNA sequencing. In-silico analysis was conducted using bioinformatics tools. RESULTS: BHMT (rs3733890) showed an insignificant association with both childhood and adult ALL. Bioinformatics analysis showed that 18 nsSNPs are deleterious, 3 SNPs in 3'-UTR (rs59109725, rs116634518 and rs138578732) alter the miRNA-binding site, and 11 CNVs are present in the BHMT gene. As consequence of BHMT (rs3733890) polymorphism the free energy changes from -101210.1 kJ/mol to -200021.8 kJ/mol. CONCLUSIONS: BHMT (rs3733890) polymorphism showed no association with ALL. Hence this investigation needs further evaluation in larger sample size and effect of other SNPs, CNVs and miRNA's is required to elucidate the role of BHMT gene in ALL development.

Elevated homocysteine levels in type 2 diabetes induce constitutive neutrophil extracellular traps.

Constitutively active neutrophil extracellular traps (NETs) and elevated plasma homocysteine are independent risk factors for Type 2 Diabetes (T2D) associated vascular diseases. Here, we show robust NETosis due to elevated plasma homocysteine levels in T2D subjects and increased components of NETs such as neutrophil elastase and cell free DNA. Cooperative NETs formation was observed in neutrophils exposed to homocysteine, IL-6 and high glucose suggesting acute temporal changes tightly regulate constitutive NETosis. Homocysteine induced NETs by NADPH oxidase dependent and independent mechanisms. Constitutively higher levels of calcium and mitochondrial superoxides under hyperglycemic conditions were further elevated in response to homocysteine leading to accelerated NETosis. Homocysteine showed robust interaction between neutrophils and platelets by inducing platelet aggregation and NETosis in an interdependent manner. Our data demonstrates that homocysteine can alter innate immune function by promoting NETs formation and disturbs homeostasis between platelets and neutrophils which may lead to T2D associated vascular diseases.

Implications of critical PPARγ2, ADIPOQ and FTO gene polymorphisms in type 2 diabetes and obesity-mediated susceptibility to type 2 diabetes in an Indian population.

Peroxisome proliferator-activated receptors (PPARγ), adiponectin (ADIPOQ) and fat mass and obesity-associated gene (FTO) have been reported as a key candidate genes for obesity, type 2 diabetes (T2D) susceptibility and insulin resistance, and we hypothesize that in the background of obesity, the effect of PPARγ2 (rs1801282), ADIPOQ (rs16861194) and FTO (rs9939609) variant could potentially influence T2D susceptibility. To decipher a more accurate estimation toward its population-specific impact of these variants toward susceptibility to T2D, a case-control study, systematic review and a meta-analysis was performed in a South Asian population. A case-control analysis of 518 T2D cases and 518 controls of Karnataka origin were performed to analyze the association of PPARγ2 (rs1801282), ADIPOQ (rs16861194) and FTO (rs9939609) on the risk of T2D. In addition, a systematic review and meta-analysis for PPARγ2 (rs1801282) and FTO (rs9939609) was elucidated from Asian population. Our investigation showed that PPARγ2 (rs1801282) and FTO (rs9939609) are associated with T2D susceptibility. When T2D cohort was further stratified according to the obesity status, PPARγ2 (rs1801282) and FTO (rs9939609) showed association with T2D only in the obese diabetic group and ADIPOQ (rs16861194) showed no difference in risk of susceptibility to the disease. The meta-analysis of PPARγ2 (rs1801282) showed population-specific association for T2D susceptibility as opposed to FTO (rs9939609) which showed no difference in population effect toward T2D susceptibility. In conclusion, our study showed that PPARγ2 (rs1801282) and FTO (rs9939609) variants are associated with T2D susceptibility when associated with adiposity in Indian population.