Indian Academy of Sciences

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    Analysis of Histomorphologic/Molecular Association and Immune Checkpoint Regulators in Epithelioid Glioblastoma and Pleomorphic Xanthoastrocytoma: Are These Tumors Potential Candidates for Immune Checkpoint Blockade?

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    Accurate diagnosis of Epithelioid glioblastoma (eGB) and pleomorphic xanthoastrocytoma (PXA) is sometimes challenging owing to overlapping histologic and genetic features. There are limited reports on the immune profile of these tumors. In this study, we assessed 21 PXA [15 PXA Grade 2 (PXAG2); 6 PXA Grade 3 (PXAG3)] and 14 eGB for their histopathological and molecular association. Further, their immune profile was compared with GB, IDH1 wild-type (wt) (n-18). Morphologically, PXAG2 mostly differed from eGB; however, it was occasionally difficult to differentiate PXAG3 from eGB due to their epithelioid pattern and less obvious degenerative features. PXAG2 showed predominantly diffuse, whereas variable positivity for epithelial and glial markers was seen in PXAG3 and eGB. All cases showed retained nuclear ATRX and INI-1. H3K27M or IDH1 mutation was seen in none. P53 mutation was more common in eGB, followed by PXAG3, and least common in PXAG2. BRAF V600E mutation was observed in 66.67% PXAG2, 33.33% PXAG3, and 50% eGB, with 100% concordance between immunohistochemistry (IHC) and sequencing. Thirty-six percent eGB, 33% PXAG3, and 61% PXAG2 harbored CDKN2A homozygous deletion. EGFR amplification was observed in 14% eGB and 66% of GB, IDH wt. PDL1 and CTLA-4 expression was higher in eGB (71.4% and 57.1%), PXAG3 (66.6% and100%), and PXAG2 (60% & 66.7%) as compared with GB, IDH wt (38.8% and 16.7%). Tumor-infiltrating lymphocytes were also observed in a majority of eGB and PXA (90% to 100%) in contrast to GB, IDH wt (66%). This analysis highlights the homogenous molecular and immune profile of eGB and PXA, suggesting the possibility that histologically and molecularly, these two entities represent 2 ends of a continuous spectrum with PXAG3 lying in between. Higher upregulation of PDL1, CTLA-4, and increased tumor infiltrating lymphocytes in these tumors as compared with GB, IDH wt suggests potential candidature for immunotherapy

    Simultaneous Sensing of H 2 O, D 2 O and HOD through Peroxo Vibrations

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    Detection of HOD simultaneously in the presence of a mixture of H2O and D2O is still an experimental challenge. Till date, there is no literature report of simultaneous detection of H2O, D2O and HOD based on vibrational spectra. Herein we report simultaneous quantitative detection of H2O, D2O and HOD in the same reaction mixture with the help of bridged polynuclear peroxo complex in absence and presence of Au nanoparticles on the basis of a peroxide vibrational mode in resonance Raman and surface enhanced resonance Raman spectrum. We synthesize bridged polynuclear peroxo complex in different solvent mixture of H2O and D2O. Due to the formation of different nature of hydrogen bonding between peroxide and solvent molecules (H2O, D2O and HOD), vibrational frequency of peroxo bond is significantly affected. Mixtures of different H2O and D2O concentrations produce different HOD concentrations and that lead to different intensities of peaks positioned at 897, 823 and 867 cm−1 indicating H2O, D2O and HOD, respectively. The lowest detection limits (LODs) were 0.028 mole fraction of D2O in H2O and 0.046 mole faction of H2O in D2O. In addition, for the first time the results revealed that the cis-peroxide forms two hydrogen bonds with solvent molecules

    Phosphorylation of CFP10 modulates Mycobacterium tuberculosis virulence

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    Virulence effectors secreted by Mycobacterium tuberculosis (Mtb) help subvert host immune mechanisms and, therefore, are critical for establishing infection and pathogenesis. However, knowledge in terms of signaling mechanisms that modulate the secretion of virulence factors is sparse. We performed high-throughput secretome, phosphoproteome, and phospho-secretome analysis of Mtb. We combined the analysis with empirical validations to show regulation of mycobacterial secretion through protein phosphorylation. System level protein-protein interaction network analysis superimposed with the secretome, phosphoproteome, and phospho-secretome profile revealed an intricate relationship between phosphorylation and secretion. At the core of the network was a key virulence factor CFP10. We identified PknA to be the kinase responsible for phosphorylating CFP10. Using genetic tools, we show that phosphomimetic mutation of CFP10 negatively regulates the secretion of virulence mediator ESAT6. Significantly, the dynamics of CFP10 phosphorylation strongly influenced bacterial virulence and survival within macrophages and mice. Together, the results show that the dynamic phosphorylation status of the secretory protein CFP10 regulates the secretion of virulence factors and impacts virulence. IMPORTANCE Secreted virulence factors play a critical role in bacterial pathogenesis. Virulence effectors not only help bacteria to overcome the host immune system but also aid in establishing infection. Mtb, which causes tuberculosis in humans, encodes various virulence effectors. Triggers that modulate the secretion of virulence effectors in Mtb are yet to be fully understood. To gain mechanistic insight into the secretion of virulence effectors, we performed high-throughput proteomic studies. With the help of system-level protein-protein interaction network analysis and empirical validations, we unravelled a link between phosphorylation and secretion. Taking the example of the well-known virulence factor of CFP10, we show that the dynamics of CFP10 phosphorylation strongly influenced bacterial virulence and survival ex vivo and in vivo. This study presents the role of phosphorylation in modulating the secretion of virulence factors

    Indian Himalayan natural Arabidopsis thaliana accessions with abolished miR158 levels exhibit robust miR173‐initiated trans‐acting cascade silencing

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    Small RNAs (sRNAs) such as microRNAs (miRNAs) and small interfering RNAs (siRNAs) are short 20–24-nucleotide non-coding RNAs. They are key regulators of gene expression in plants and other organisms. Several 22-nucleotide miRNAs trigger biogenesis cascades of trans-acting secondary siRNAs, which are involved in various developmental and stress responses. Here we show that Himalayan Arabidopsis thaliana accessions having natural mutations in the miR158 locus exhibit robust cascade silencing of the pentatricopeptide repeat (PPR)-like locus. Furthermore, we show that these cascade sRNAs trigger tertiary silencing of a gene involved in transpiration and stomatal opening. The natural deletions or insertions in MIR158 led to improper processing of miR158 precursors, thereby blocking synthesis of mature miR158. Reduced miR158 levels led to increased levels of its target, a pseudo-PPR gene that is targeted by tasiRNAs generated by the miR173 cascade in other accessions. Using sRNA datasets derived from Indian Himalayan accessions, as well as overexpression and knockout lines of miR158, we show that absence of miR158 led to buildup of pseudo-PPR-derived tertiary sRNAs. These tertiary sRNAs mediated robust silencing of a gene involved in stomatal closure in Himalayan accessions lacking miR158 expression. We functionally validated the tertiary phasiRNA that targets NHX2, which encodes a Na+-K+/H+ antiporter protein, thereby regulating transpiration and stomatal conductance. Overall, we report the role of the miRNA–TAS–siRNA–pseudogene–tertiary phasiRNA–NHX2 pathway in plant adaptation

    Interactive iterative methodology for seismic analysis of pile-raft supported nuclear power plant structure in a conventional framework.

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    Due to the fast growth of the nuclear-powered industry, nuclear power plants (NPP) are being planned on soil sites, especially in active seismic zones. In such cases, a combined pile-raft foundation (CPRF) is considered a preferred choice for designers to support massive and stiff nuclear structures. As such, no study has been stated on the seismic design approach for NPP supported on the CPRF system. In the present study, an interactive iterative practical seismic design approach is proposed to estimate the dynamic response of a NPP resting on the CPRF considering continuum-based geotechnical and spring-supported structural models. The pseudo-static response of the continuum-based model is used to determine the soil-pile system stiffness for subsequent seismic analysis in a spring-supported structural model. A step-by-step algorithm is proposed to arrive at the final converged state of the combined system through an iterative procedure. A reasonably good agreement is achieved between the outcomes obtained from the suggested approach and the results of the experimental testing. The proposed approach is subsequently implemented on a typical NPP structure, and a good match is obtained with the results of the coupled time domain direct analysis, thus showing the reliability and practical applicability of the suggested approach. The suggested procedure can be used for the seismic analysis of NPP structures supported by the CPRF system

    Augmenting antimicrobial resistance surveillance: rapid detection of β-lactamase-expressing drug-resistant bacteria through sensitized luminescence on a paper-supported hydrogel

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    The emergence of antimicrobial resistance (AMR) in pathogenic bacteria, expedited by the overuse and misuse of antibiotics, necessitates the development of a rapid and pan-territorially accessible diagnostic protocol for resistant bacterial infections, which would not only enable judicious prescription of drugs, leading to infection control but also augment AMR surveillance. In this study, we introduce for the first time a "turn-on" terbium (Tb3+) photoluminescence assay supported on a paper-based platform for rapid point-of-care (POC) detection of β-lactamase (BL)-producing bacteria. We strategically conjugated biphenyl-4-carboxylic acid (BCA), a potent Tb3+ sensitizer, with cephalosporin to engineer a BL substrate CCS, where the energy transfer to terbium is arrested. However, BL, a major resistance element produced by bacteria resistant to β-lactam antibiotics, triggers a spontaneous release of BCA, empowering terbium sensitization within a supramolecular scaffold supported on paper. The remarkable optical response facilitates quick assessment with a binary answer, and the time-gated signal acquisition ensues improved sensitivity with a detection limit as low as 0.1 mU/mL. Furthermore, to ensure accessibility, particularly in resource-limited areas, we have developed an in loco imaging device as an affordable alternative to high-end instruments. The integration of the assay with the device readily identified the BL-associated drug-resistant strains in the mimic urinary tract infection samples within 2 h, demonstrating its excellent potential for in-field translation. We believe that this rapid paper-based POC assay, coupled with the in loco device, can be deployed anywhere, especially in developing regions, and will enable extensive surveillance on antibiotic-resistant infections

    Inhibition and eradication of bacterial biofilm using polymeric materials.

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    Biofilms, ubiquitous in nature, are three-dimensional complex microbial communities sheathed in a self-secreted extracellular polymeric matrix. Infections caused by these communities have sprouted as serious threats to global healthcare systems due to their intrinsic tolerance toward conventional antibiotics. There is a huge demand for alternative “cutting-edge” materials featuring strong antibiofilm abilities to mitigate and/or exterminate pre-matured biofilms. Natural or synthetic macromolecule-based compounds have evolved as one of the most sought-after materials because of their unique stimulus-directed selective targeting efficiency to the bacterial cell, antibiotic-encapsulation ability endowing them with a synergistic effect, and highly dense embedded cationic functionalities that promote accumulation within the biofilm. In this comprehensive review, we aim to highlight the progress made in inhibiting or eradicating bacterial biofilms using various forms of polymeric material including cationic and charge-switchable macromolecules, conjugated polymers, polymeric metal nanocomposites, hydrogels, and supramolecular polymers. We particularly emphasize understanding the underlying antibiofilm mechanisms of each presented example ushered in by state-of-the-art synthetic strategies. Lastly, focusing on bench-to-bedside, the review is concluded by providing some forthcoming aspects and possible future development directions to expand polymer-based antibiofilm research, keeping their clinical translations in mind

    Soft matter roadmap<sup>*</sup>

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    Soft materials are usually defined as materials made of mesoscopic entities, often self-organised, sensitive to thermal fluctuations and to weak perturbations. Archetypal examples are colloids, polymers, amphiphiles, liquid crystals, foams. The importance of soft materials in everyday commodity products, as well as in technological applications, is enormous, and controlling or improving their properties is the focus of many efforts. From a fundamental perspective, the possibility of manipulating soft material properties, by tuning interactions between constituents and by applying external perturbations, gives rise to an almost unlimited variety in physical properties. Together with the relative ease to observe and characterise them, this renders soft matter systems powerful model systems to investigate statistical physics phenomena, many of them relevant as well to hard condensed matter systems. Understanding the emerging properties from mesoscale constituents still poses enormous challenges, which have stimulated a wealth of new experimental approaches, including the synthesis of new systems with, e.g. tailored self-assembling properties, or novel experimental techniques in imaging, scattering or rheology. Theoretical and numerical methods, and coarse-grained models, have become central to predict physical properties of soft materials, while computational approaches that also use machine learning tools are playing a progressively major role in many investigations. This Roadmap intends to give a broad overview of recent and possible future activities in the field of soft materials, with experts covering various developments and challenges in material synthesis and characterisation, instrumental, simulation and theoretical methods as well as general concepts

    Implications of LAG3 and CTLA4 immune checkpoints beyond PD-1/PD-L1 as a potential target in determining the prognosis of uveal melanoma patients

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    Background Response rate of PD-1/PD-L1 immunotherapeutic blockade agents in uveal melanoma (UM) is poor. Lymphocyte activation gene 3 (LAG3) and cytotoxic T-lymphocyte-associated protein 4 (CTLA4) are the two promising immune checkpoint targets. Therefore, our aim was to explore at how these proteins were expressed in tumour tissue and serum, as well as their prognostic implications in UM. Methods The expression of LAG3, CTLA-4, CD3, CD4, CD8 and FOXP3 was determined by immunohistochemistry in 54 enucleated UM tissue samples. mRNA expression level of LAG3 and CTLA-4 was determined by quantitative real-time PCR and corroborated by western blotting. Furthermore, soluble form of LAG3, CTLA-4 and CCR8 expression in serum was measured in 40 UM patients using ELISA. Result The expression of LAG3, CTLA-4, CD3, CD4, CD8 and FOXP3 was observed in 30%, 33%, 41%, 35%, 50% and 39% of the cases, respectively. Loss of nBAP1 expression was significantly correlated with CD8+expression (p=0.012) but not with tumour infiltrating lymphocytes. LAG3 and CTLA-4 mRNA levels were higher in UM compared with normal uveal tissues. Higher LAG3 expression with CD8+expression was associated with lower metastasis-free survival (MFS) (p=0.049), but not with CTLA-4 in UM patients. MFS rate was reduced in patients having lower levels of CCR8 protein (p=0.050) and increased level of LAG3 protein (p=0.001). Conclusion Our findings suggest that higher levels of LAG3 in UM with histopathologically high-risk parameters predict high metastatic potential and that it could be used as a targeted immunotherapy alone or in combination with PD-1/PD-L1 blockade agents

    Formulation and validation of a baseline prognostic score for osteosarcoma treated uniformly with a non-high dose methotrexate-based protocol from a low middle income healthcare setting: a single centre analysis of 594 patients

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    Introduction: The outcomes of osteosarcoma in low middle income countries (LMICs) are different due to patients presenting in advanced stages, resource constraints and the use of non-high-dose-methotrexate (HDMTX)-based regimens. This study derived and validated a prognostic score for osteosarcoma that integrates biologic and social factors and is tailored for patients from an LMIC setting using a non-HDMTX-based protocol. Materials and methods: A retrospective study including osteosarcoma patients enrolled for treatment at a single tertiary care centre in India between 2003-19 was conducted. Baseline biologic and social characteristics were extracted from medical records and survival outcomes were noted. The cohort was randomised into a derivation and validation cohort. Multivariable Cox regression was used to identify baseline characteristics that were independently prognostic for survival outcomes in the derivation cohort. A score was derived from the prognostic factors identified in the derivation cohort and further validated in the validation cohort with estimation of its predictive ability. Results: 594 patients with osteosarcoma were eligible for inclusion in the study. Around one-third of the cohort had metastatic disease with 59% of the patients residing in rural areas. The presence of metastases at baseline (HR 3.39; p&#60;0.001; score=3), elevated serum alkaline phosphatase (SAP) &#62;450 IU/L (HR 1.57; p=0.001; score=1) and baseline tumour size &#62; 10 cm (HR 1.68; p&#60;0.001; score=1) were identified to be independent factors predicting inferior event free survival (EFS) and were included in development of the prognostic score. Patients were categorized as low risk (score 0), intermediate risk (score 1-3) and high risk (4-5). Harrell’s c-indices for the score were 0.682, 0.608 and 0.657 respectively for EFS in the derivation, validation and whole cohort respectively. The timed AUC of ROC was 0.67 for predicting 18-month EFS in the derivation, validation and whole cohorts while that for 36-month EFS were 0.68, 0.66 and 0.68 respectively. Conclusions: The study describes the outcomes among osteosarcoma patients from an LMIC treated uniformly with a non-HDMTX-based protocol. Tumor size, baseline metastases and SAP were prognostic factors used to derive a score with good predictive value for survival outcomes. Social factors did not emerge as determinants of survival

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