👤 P R Mohapatra

Mania, a core feature of bipolar disorder, is characterized by impulsivity, hyperactivity, and mood disturbances. Impulsivity has been linked to lipid metabolism, particularly cholesterol and apolipoproteins. This study investigates the relationship between lipid profile, apolipoprotein A1 (ApoA1) and apolipoprotein B (ApoB), and impulsivity in first-episode mania patients. A case-control study was conducted at Sriram Chandra Bhanja (SCB) Medical College, Cuttack, involving 60 patients with first-episode mania and 60 age-matched healthy controls. Lipid parameters, including total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), very-low-density lipoprotein (VLDL), ApoA1, and ApoB, were measured. Impulsivity was assessed using the Barratt Impulsiveness Scale (BIS-11). Independent samples t-tests and Pearson's correlation were used for statistical analysis. Mania patients had significantly lower TC (156.58 ± 14.00 mg/dL vs. 175.93 ± 23.59 mg/dL, p < 0.001), LDL (75.00 ± 9.24 mg/dL vs. 83.58 ± 16.86 mg/dL, p = 0.001), and TG (74.03 ± 11.94 mg/dL vs. 96.43 ± 29.48 mg/dL, p < 0.001) compared to controls. ApoB levels were higher in mania patients (795.95 ± 725.44 mg/dL vs. 549.53 ± 796.67 mg/dL, p = 0.079), though not statistically significant. BIS-11 scores negatively correlated with cholesterol levels, particularly TC and LDL, suggesting an association between hypercholesterolemia and increased impulsivity. Lower cholesterol levels, particularly LDL, are significantly associated with impulsivity in first-episode mania patients. These findings highlight the potential role of lipid metabolism in psychiatric disorders and suggest lipid monitoring in high-risk individuals. Show less

India accounts for 26 % of global tuberculosis (TB) cases, with delayed diagnosis of Mycobacterium tuberculosis (MTB) and drug resistance exacerbating disease transmission. Conventional drug susceptibility testing (DST) remains time-consuming, while molecular tools like the Xpert MTB/RIF assay-though rapid-are limited to detecting MTB and rifampicin (RIF) resistance. Testing for isoniazid (INH) and second-line drugs requires the costly Xpert MTB/XDR assay. Although line probe assays (LPAs) identifies first- and second-line drug resistance, their accessibility is restricted to specialized laboratories. This underscores the need for a rapid, cost-effective alternative to diagnose resistance to INH and fluoroquinolones (FQs). A cross-sectional study was performed at the Department of Microbiology, AIIMS Bhubaneswar, and the Intermediate Reference Laboratory (IRL), Cuttack, from March 2022 to April 2023. MTB isolates (n = 123) were analyzed using LPAs (Hain Lifescience's Genotype MTBDRplus and Genotype MTBDRsl) and multiplex allele-specific (MAS) PCR. The MAS-PCR targeted mutations in katG codon 315 and the inhA-15 promoter region for INH resistance, and gyrA codon 94 for FQ resistance. MAS-PCR identified INH resistance in 28/123 (22.76 %) isolates. Compared to LPA, MAS-PCR demonstrated sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of 80.77 %, 93.81 %, 77.78 %, 94.79 %, and 91.06 %, respectively, for INH resistance. For FQ resistance, MAS-PCR identified 19/123 (15.44 %) resistant isolates, with sensitivity, specificity, PPV, NPV, and accuracy of 87.50 %, 95.33 %, 73.68 %, 98.08 %, and 94.31 %, respectively, relative to LPA. MAS-PCR offers a rapid, technically feasible, and cost-effective method for detecting resistance to INH and FQs. Its high accuracy and affordability position it as a viable alternative in resource-limited settings, facilitating timely TB diagnosis and resistance management. Show less

Epidermal Growth Factor Receptor (EGFR) signaling and EGFR mutations play key roles in cancer pathogenesis, particularly in the development of drug resistance. For the ∼20% of all non-small cell lung cancer (NSCLC) patients that harbor an activating mutation, EGFR tyrosine kinase inhibitors (TKIs) provide initial clinical responses. However, long-term efficacy is not possible due to acquired drug resistance. Despite a gradually increasing knowledge of the mechanisms underpinning the development of resistance in tumors, there has been very little success in overcoming it and it is probable that many additional mechanisms are still unknown. Herein, publicly available RNASeq (RNA sequencing) datasets comparing lung cancer cell lines treated with EGFR TKIs until resistance developed with their corresponding parental cells and protein array data from our own EGFR TKI treated xenograft tumors, were analyzed for differential gene expression, with the intent to investigate the potential mechanisms of drug resistance to EGFR TKIs. Pathway analysis, as well as structural disorder analysis of proteins in these pathways, revealed several key proteins, including DUSP1, DUSP6, GAB2, and FOS, that could be targeted using novel combination therapies to overcome EGFR TKI resistance in lung cancer. Show less

The mechanisms contributing to recurrence of glioblastoma (GBM), an aggressive neuroepithelial brain tumor, remain unknown. We have recently shown that nuclear respiratory factor 1 (NRF1) is an oncogenic transcription factor and its transcriptional activity is associated with the progression and prognosis of GBM. Herein, we extend our efforts to (1) identify influential NRF1-driven gene and microRNA (miRNA) expression for the aggressiveness of mesenchymal GBM; and (2) understand the molecular basis for its poor response to therapy. Clinical data and RNA-Seq from four independent GBM cohorts were analyzed by Bayesian Network Inference with Java Objects (BANJO) and Markov chain Monte Carlo (MCMC)-based gene order to identify molecular drivers of mesenchymal GBM as well as prognostic indicators of poor response to radiation and chemotherapy. We are the first to report sex-specific NRF1 motif enriched gene signatures showing increased susceptibility to GBM. Risk estimates for GBM were increased by greater than 100-fold with the joint effect of NRF1-driven gene signatures-CDK4, DUSP6, MSH2, NRF1, and PARK7 in female GBM patients and CDK4, CASP2, H6PD, and NRF1 in male GBM patients. NRF1-driven causal Bayesian network genes were predictive of poor survival and resistance to chemoradiation in IDH1 wild-type mesenchymal GBM patients. NRF1-regulatable miRNAs were also associated with poor response to chemoradiation therapy in female IDH1 wild-type mesenchymal GBM. Stable overexpression of NRF1 reprogramed human astrocytes into neural stem cell-like cells expressing SOX2 and nestin. These cells differentiated into neurons and form tumorospheroids. In summary, our novel discovery shows that NRF1-driven causal genes and miRNAs involved in cancer cell stemness and mesenchymal features contribute to cancer aggressiveness and recurrence of aggressive therapy-resistant glioblastoma. Show less

Hypoxia is a hallmark of solid tumors including glioblastoma (GBM). Its synergism with Notch signaling promotes progression in different cancers. However, Notch signaling exhibits pleiotropic roles and the existing literature lacks a comprehensive understanding of its perturbations under hypoxia in GBM with respect to all components of the pathway. We identified the key molecular cluster(s) characteristic of the Notch pathway response in hypoxic GBM tumors and gliomaspheres. Expression of Notch and hypoxia genes was evaluated in primary human GBM tissues by q-PCR. Clustering and statistical analyses were applied to identify the combination of hypoxia markers correlated with upregulated Notch pathway components. We found well-segregated tumor-clusters representing high and low HIF-1α/PGK1-expressors which accounted for differential expression of Notch signaling genes. In combination, a five-hypoxia marker set (HIF-1α/PGK1/VEGF/CA9/OPN) was determined as the best predictor for induction of Notch1/Dll1/Hes1/Hes6/Hey1/Hey2. Similar Notch-axis genes were activated in gliomaspheres, but not monolayer cultures, under moderate/severe hypoxia (2%/0.2% O2). Preliminary evidence suggested inverse correlation between patient survival and increased expression of constituents of the hypoxia-Notch gene signature. Together, our findings delineated the Notch-axis maximally associated with hypoxia in resected GBM, which might be prognostically relevant. Its upregulation in hypoxia-exposed gliomaspheres signify them as a better in-vitro model for studying hypoxia-Notch interactions than monolayer cultures. Show less