Publications by authors named "Rameshwar N Bamezai"

Article Synopsis
  • Triple-negative breast cancer (TNBC) is known for its aggressiveness and lack of effective treatments, making it a challenging condition to manage.
  • Research shows that silibinin disrupts metabolic processes in TNBC cells by targeting the EGFR-MYC-TXNIP signaling pathway, leading to reduced cell growth and survival.
  • Combining silibinin with traditional chemotherapy drugs like paclitaxel appears to enhance anti-cancer effects, suggesting that targeting metabolic pathways could be a promising approach for treating TNBC.
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Type 2 Diabetes Mellitus (T2DM), a multifactorial complex disorder, is emerging as a major cause of morbidity, mortality and socio-economic burden across the world. Despite huge efforts in understanding genetics of T2DM, only ∼10% of the genetic factors have been identified so far. Telomere attrition, a natural phenomenon has recently emerged in understanding the pathophysiology of T2DM.

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An experimentally validated set of apoptosis-regulatory proteins was subjected to network analysis, depicting a scale-free hierarchical fractal network. The power-law distribution of the various topological properties of the network revealed the fractal nature of the network, a signature of self-organization of the network where the network maintained the democratic constitution of nodes at various levels and showed the absence of the centrality-lethality control system. Even though network breakdown under the absence of the centrality-lethality rule of hub removal did not happen, the change in the topological properties of the network could be observed.

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Type 2 diabetes (T2D) is a chronic metabolic disease which shows an exponential increase in all parts of the world. However, the disease is controllable by early detection and modified lifestyle. A series of factors have been associated with the pathogenesis of diabetes, and genes are considered to play a critical role.

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This article has been withdrawn by the authors. The PKM2 immunoblot in Fig 2E was reused as part of the Caspase-3 immunoblot in Fig 9C. The PKM2 immunoblot from 5 mM Glu, fractions 1-10 was reused as the PKM2 immunoblot from 1 mM Glu, fractions 1-10.

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Metabolic changes that contribute to differentiation are not well understood. Overwhelming evidence shows the critical role of glycolytic enzyme pyruvate kinase (PK) in directing metabolism of proliferating cells. However, its role in metabolism of differentiating cells is unclear.

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Resveratrol has been shown to exhibit its anti-cancer effect through a variety of mechanisms. Here, TIGAR (TP53-Induced Glycolysis and Apoptosis Regulator) was identified as an important target of resveratrol for exhibiting ROS-dependent-consequences on apoptosis and autophagy. Resveratrol treatment decreased TIGAR protein irrespective of cell line used.

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Aim: We proposed to investigate the combination effect of microRNA, nutraceuticals and drug (MND), in two pancreatic cancer cell lines to assess the therapeutic potential.

Materials And Methods: MIA PaCa-2 and PANC-1 cells transfected with miR-101 or miR-24-2 were treated with Betulinic acid or Thymoquinone and gemcitabine independently and in combination and assessed for the extent of synergism in both experimental and control conditions, considering significance at the p value of <0.05.

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Pyruvate kinase M2, an important metabolic enzyme, promotes aerobic glycolysis (Warburg effect) to facilitate cancer cell proliferation. Unravelling the status of this important glycolytic pathway enzyme under sub-lethal doses of etoposide, a commonly used anti-proliferative genotoxic drug to induce mild/moderate DNA damage in HeLa cells as a model system and discern its effect on: PKM2 expression, phosphorylation, dimer: tetramer ratio, activity and associated effects, was pertinent. Protein expression and phosphorylation of PKM2 from HeLa cells was estimated using Western blotting.

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Role of, 29-non-synonymous, 15-intronic, 3-close to UTR, single nucleotide polymorphisms (SNPs) and 2 mutations of Human Pyruvate Kinase (PK) M2 were investigated by in-silico and in-vitro functional studies. Prediction of deleterious substitutions based on sequence homology and structure based servers, SIFT, PANTHER, SNPs&GO, PhD-SNP, SNAP and PolyPhen, depicted that 19% emerged common between all the mentioned programs. SNPeffect and HOPE showed three substitutions (C31F, Q310P and S437Y) in-silico as deleterious and functionally important.

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mtDNA non-synonymous germ line variation (G10398A; p.A114T) has remained equivocal with least mechanistic understanding in showing an association with cancer. This has necessitated showing in-vitro how an over-expression within mitochondria of either of the variants produces higher intracellular ROS, resulting in differential anchorage dependent and independent growth.

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Dysregulation or inhibition of apoptosis favors cancer and many other diseases. Understanding of the network interaction of the genes involved in apoptotic pathway, therefore, is essential, to look for targets of therapeutic intervention. Here we used the network theory methods, using experimentally validated 25 apoptosis regulatory proteins and identified important genes for apoptosis regulation, which demonstrated a hierarchical scale-free fractal protein-protein interaction network.

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Tyrosine phosphorylation (p-Y105) of pyruvate kinase (PK) M2, in recent years, has been suggested to facilitate Warburg effect and tumor cell growth. However, a comparison of the structural dynamics of the un-phosphorylated, the active, and the phosphorylated-at-Y105, the inactive-states, is not clear. We studied molecular dynamics of the two states to unravel these features, where phosphorylated PKM2 showed a rapid global conformation change in the initial stages of the simulation.

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Gemcitabine, an effective agent in treatment of cancer of pancreas, has undergone failures in many instances after multiple cycles of therapy due to emergence of drug resistance. Combination of dietary compounds with clinically validated drugs has emerged as an effective therapeutic approach to treat pancreatic tumors, refractory to gemcitabine therapy. In order to optimize a possible synergistic combination of Gemcitabine (GCB) with dietary molecules, Betuilnic acid (BA) and Thymoquinone (TQ), stand-alone IC50 dose of GCB, BA and TQ was calculated for pancreatic cancer cell lines.

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Inundation of evolutionary markers expedited in Human Genome Project and 1000 Genome Consortium has necessitated pruning of redundant and dependent variables. Various computational tools based on machine-learning and data-mining methods like feature selection/extraction have been proposed to escape the curse of dimensionality in large datasets. Incidentally, evolutionary studies, primarily based on sequentially evolved variations have remained un-facilitated by such advances till date.

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Cancer cells are characterized by high glycolytic rates to support energy regeneration and anabolic metabolism, along with the expression of pyruvate kinase isoenzyme M2 (PKM2). The latter catalyzes the last step of glycolysis and reprograms the glycolytic flux to feed the special metabolic demands of proliferating cells. Besides, PKM2 has moonlight functions, such as gene transcription, favoring cancer.

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The DNA mismatch repair (MMR) pathway plays a prominent role in the correction of errors made during DNA replication and genetic recombination and in the repair of small deletions and loops in DNA. Mismatched nucleotides can occur by replication errors, damage to nucleotide precursors, damage to DNA, or during heteroduplex formation between two homologous DNA molecules in the process of genetic recombination. Defects in MMR can precipitate instability in simple sequence repeats (SSRs), also referred to as microsatellite instability (MSI), which appears to be important in certain types of cancers, both spontaneous and hereditary.

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Article Synopsis
  • * SSCP detects changes in single-strand DNA structures, with its effectiveness relying on specific conditions like pH, temperature, and gel type to resolve mutant DNA bands.
  • * Despite advancements in mutation detection technology, SSCP is still preferred for analyzing genomic variations related to diseases because of its simplicity and efficiency.
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Objectives: Cytokines and related molecules in immune-response pathways seem important in deciding the outcome of the host-pathogen interactions towards different polar forms in leprosy. We studied the role of significant and functionally important single-nucleotide polymorphisms (SNPs) in these genes, published independently from our research group, through combined interaction with an additional analysis of the in silico network outcome, to understand how these impact the susceptibility towards the disease, leprosy.

Design: The study was designed to assess an overall combined contribution of significantly associated individual SNPs to reflect on epistatic interactions and their outcome in the form of the disease, leprosy.

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The present study was designed to examine the functional relevance of two heterozygous mutations (H391Y and K422R), observed earlier by us in the Bloom syndrome condition. Cells stably expressing exogenous wild-type or mutant PKM2 (K422R or H391Y) or co-expressing both wild type and mutant (PKM2-K422R or PKM2-H391Y) were assessed for cancer metabolism and tumorigenic potential. Interestingly, cells co-expressing PKM2 and mutant (K422R or H391Y) showed significantly aggressive cancer metabolism as compared with cells expressing either wild-type or mutant PKM2 independently.

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A penta-nucleotide microsatellite marker (CCTTT)n, in NOS2A promoter region has been associated with a variety of infectious diseases, including Tuberculosis. Most of these studies, however, are limited in justifying the association to tuberculosis through independent functional assays. The present study on 915 individuals from three geographically distinct populations of India focused on the association and function simultaneously.

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We sought to identify risk factors for type 2 diabetes (T2D) in Jammu and Kashmir populations, India. A total of 424 diabetic and 226 non-diabetic subjects from Jammu, and 161 diabetic and 100 non-diabetic subjects from Kashmir were screened for various parameters including fasting blood glucose level, 2 hour glucose level, urea, creatinine, triglycerides, total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), very low-density lipoprotein (VLDL-C), uric acid, systolic and diastolic blood pressure level. We found that subjects aged 40-49 years had the highest rate of diabetes, with family income playing not much of a role.

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Nutrient utilization is dramatically altered when cells receive signals to proliferate. Characteristic metabolic changes enable cells to meet the large biosynthetic demands associated with cell growth and division. Changes in rate-limiting glycolytic enzymes redirect metabolism to support growth and proliferation.

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Leprosy is a chronic infectious disease caused by Mycobacterium Leprae, where the host genetic background plays an important role toward the disease pathogenesis. Various studies have identified a number of human genes in association with leprosy or its clinical forms. However, non-replication of results has hinted at the heterogeneity among associations between different population groups, which could be due to differently evolved LD structures and differential frequencies of SNPs within the studied regions of the genome.

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Cancer cells are characterized by reprogramming of energy metabolism. Over the last decade, understanding of the metabolic changes that occur in cancer has increased dramatically, with great interest in targeting metabolism for cancer therapy. Pyruvate kinase isoenzyme type M2 (abbreviations: PKM2, M2-PK) plays a key role in modulating glucose metabolism to support cell proliferation.

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