Moral Principles in Bama’s Short Story ‘Anthi’

Bama, is a prominent leading author of Dalit literature. Her novel Karuku written in 1992 became famous because of its autobiographical elements. She used the language of Dalit people in her writings and it is considered to have paved a new path. She works as a teacher. Her novel Karuku has been translated into English by Lakshmi Holmstrom. She received the 'Cross Wordbook Award' of the year 2000. Bama, who was born in the sixties in Tamil Nadu is currently working as a teacher. Her novels Karuku (1992) and Sangathi (1994) are two of the best Dalit novels. Karuku (Novel-1992), Sangathi (Novel-1994), Vanmam (Novel-2002), Kisumbukkaran (Short Story- 1996), Manushi (Novel) and Thavutu Kuruvi (2019 short- stories) bear great moral thoughts. A short story called ‘Anthi’ has been taken up for analysis in the short stories of Daututuk Kuvi. In this story Bama highlighted the sufferings of lonely old people. Anthi is a short story that captures the life style of the people living with goats and cows. Bama points dignified lifestyle through the lifestyle of Thavasi grandma. In the short story ‘Anthi’ Bama has created a character Thavasi grandma who want to live her life by herself without depending on others. Morality is of the views regarding how one should behave in society. It can be defined as the set of behaviors accepted by a society regarding what is good and what is bad. Morals are not the same in all societies as can be seen in the short story of Anthi through Thavasi grandma. As the problems are different from time to time, according to the development of the society, the stories are created from a critical point of view. This article is about the life style of Thavasi grandma as mentioned in the story ‘Anthi’ by Bama

Adjunctive quetiapine for serotonin reuptake inhibitor-resistant obsessive-compulsive disorder: A meta-analysis of randomised controlled treatment trials

Small studies have shown positive effects from adding a variety of antipsychotic agents in patients with obsessive–compulsive disorder who are unresponsive to treatment with serotonin reuptake inhibitors. The evidence, however, is contradictory. This paper reports a meta-analysis of existing double-blind randomized placebo-controlled studies looking at the addition of the second-generation antipsychotic quetiapine in such cases. Three studies fulfilled the inclusion criteria. Altogether 102 individuals were subjected to analysis using Review Manager (4.2.7). The results showed evidence of efficacy for adjunctive quetiapine (< 400 mg/day) on the primary efficacy criterion, measured as changes from baseline in total Yale–Brown Obsessive Compulsive Scale scores (P = 0.008), the clinical significance of which was limited by between-study heterogeneity. The mechanism underlying the effect may involve serotonin and/or dopamine neurotransmission

In vitro IFN-α release from IFN-α- and pegylated IFN-α-loaded poly(lactic-co-glycolic acid) and pegylated poly(lactic-co-glycolic acid) nanoparticles

Aim: Interferon alpha (IFN-α) controlled release of nanoparticles was investigated under in vitro conditions. Materials &amp; methods: IFN-α and pegylated IFN-α (PEG-IFN-α) were encapsulated by poly(lactic-co-glycolic acid) (PLGA) and pegylated PLGA (PEG-PLGA) copolymers using double emulsion solvent evaporation method. Results: The size of resulting four nanoparticles (IFN-α in poly(lactic-co-glycolic acids), IFN-α in poly(lactic-co-glycolic acid)-polyethylene glycol, PEG-IFN-α in poly(lactic-co-glycolic acids) and PEG-IFN-α in poly(lactic-co-glycolic acid)-polyethylene glycol) was below 130 nm diameter. IFN-α encapsulation efficiency of the nanoparticles was between 78 and 91%. Conclusion: The in vitro drug release studies conducted in phosphate-buffered saline and human plasma highlighted the role of incubation medium on the IFN release from the nanoparticles. The PEG-IFN-α in poly(lactic-co-glycolic acid)-polyethylene glycol was the most promising nanoparticle among the four formulations because of its remarkably constant release in both phosphate-buffered saline and plasma. </jats:p

Combining host-derived biomarkers with patient characteristics improves signature performance in predicting tuberculosis treatment outcomes

CITATION: Sivakumaran, Dhanasekaran et al. 2020. Combining host-derived biomarkers with patient characteristics improves signature performance in predicting tuberculosis treatment outcomes. Communications Biology, 3(1):359, doi:10.1038/s42003-020-1087-x.The original publication is available at: https://pubmed.ncbi.nlm.nih.gov/Tuberculosis (TB) is a global health concern. Treatment is prolonged, and patients on anti-TB therapy (ATT) often experience treatment failure for various reasons. There is an urgent need to identify signatures for early detection of failure and initiation of a treatment switch.We investigated how gene biomarkers and/or basic patient characteristics could be used to define signatures for treatment outcomes in Indian adult pulmonary-TB patients treated with standard ATT. Using blood samples at baseline, a 12-gene signature combined with information on gender, previously-diagnosed TB, severe thinness, smoking and alcohol consumption was highly predictive of treatment failure at 6 months. Likewise a 4-protein biomarker signature combined with the same patient characteristics was almost as highly predictive of treatment failure. Combining biomarkers and basic patient characteristics may be useful for predicting and hence identification of treatment failure at an early stage of TB therapy.Publlisher's versio

The Inclusion of a Matrix Metalloproteinase-9 Responsive Sequence in Self-assembled Peptide-based Brain-Targeting Nanoparticles Improves the Efficiency of Nanoparticles Crossing the Blood-Brain Barrier at Elevated MMP-9 Levels

This study investigated whether the inclusion of a matrix metalloproteinase-9 (MMP-9) responsive sequence in self-assembled peptide-based brain-targeting nanoparticles (NPs) would enhance the blood-brain barrier (BBB) penetration when MMP-9 levels are elevated both in the brain and blood circulation. Brain-targeting peptides were conjugated at the N-terminus to MMP-9-responsive peptides, and these were conjugated at the N-terminus to lipid moiety (cholesteryl chloroformate or palmitic acid). Two constructs did not have MMP-9-responsive peptides. NPs were characterised for size, charge, critical micelle concentration, toxicity, blood compatibility, neural cell uptake, release profiles, and in vitro BBB permeability simulating normal or elevated MMP-9 levels. The inclusion of MMP-9-sensitive sequences did not improve the release of a model drug in the presence of active MMP-9 from NPs compared to distilled water. 19F NMR studies suggested the burial of MMP-9-sensitive sequences inside the NPs making them inaccessible to MMP-9. Only cholesterol-GGGCKAPETALC (responsive to MMP-9) NPs showed <5% haemolysis, <1 pg/mL release of IL-1β at 500 μg/mL from THP1 cells, with 70.75 ± 5.78% of NPs crossing the BBB at 24 h in presence of active MMP-9. In conclusion, brain-targeting NPs showed higher transport across the BBB model when MMP-9 levels were elevated and the brain-targeting ligand was responsive to MMP-9

Update of KDBI: Kinetic Data of Bio-molecular Interaction database

Knowledge of the kinetics of biomolecular interactions is important for facilitating the study of cellular processes and underlying molecular events, and is essential for quantitative study and simulation of biological systems. Kinetic Data of Bio-molecular Interaction database (KDBI) has been developed to provide information about experimentally determined kinetic data of protein–protein, protein–nucleic acid, protein–ligand, nucleic acid–ligand binding or reaction events described in the literature. To accommodate increasing demand for studying and simulating biological systems, numerous improvements and updates have been made to KDBI, including new ways to access data by pathway and molecule names, data file in System Biology Markup Language format, more efficient search engine, access to published parameter sets of simulation models of 63 pathways, and 2.3-fold increase of data (19 263 entries of 10 532 distinctive biomolecular binding and 11 954 interaction events, involving 2635 proteins/protein complexes, 847 nucleic acids, 1603 small molecules and 45 multi-step processes). KDBI is publically available at http://bidd.nus.edu.sg/group/kdbi/kdbi.asp