Impact of medical intervention on stress and quality of life in patients with cancer.

CONTEXT: Many studies have explored stress and quality of life in (QOL) patients with cancer, under several phases of disease and treatment. However, the impact of medical intervention on psychological parameters, such as stress and quality of life focusing on psychological intervention has been sparsely studied. AIMS: The main aim of the study was to examine the impact of medical intervention on the level of stress and quality of life of patients with lung, breast, and head and neck cancers. SETTINGS AND DESIGN: The study was carried out in hospital settings by following a one-group pre-test-post-test pre-experimental design. STATISTICAL ANALYSIS USED: The quantitative data were analysed by means of descriptive statistics, paired t-tests, Cohen's d, and bar graphs accordingly. RESULTS: The effect of medical intervention was medium in case of reduction of overall stress in participants. So far as the components are concerned, the effect was high in case of psychosomatic complaints, medium in case of fear and information deficit, and low in case of everyday life restrictions. The effect of medical intervention in respect of the quality of life was found to be high in case of symptom scale (pain) and additional symptoms (constipation); medium in case of functional scale (emotional functioning, cognitive functioning) and symptoms scale (nausea, vomiting). In additional symptoms scale the effect of medical intervention was found to be medium in dyspnoea and appetite loss. CONCLUSIONS: The findings revealed that though the medical intervention reduced stress and improved the quality of life, it was not instrumental in bringing down the stress to minimal level and enhancing the quality of life to optimum level. Therefore, the findings point to the need of inclusion of psychological intervention along with the medical intervention for minimizing stress and optimizing the quality of life of patients with cancer.

Hexagonal-shaped graphene quantum plasmonic nano-antenna sensor.

In this manuscript, a hexagonal-shaped graphene quantum plasmonic nanopatch antenna sensor is designed and investigated on silicon dioxide, zinc oxide and silicon substrates for quantum plasmonic biosensing applications. The optical properties of graphene are demonstrated using Kubo modeling to analyze the plasmon resonance characteristics of the nanopatch antenna. Nano-circuit modeling of the hexagonal-shaped graphene nano-antenna is proposed and validated using CST simulations. The parametric analysis of the hexagonal-shaped nanopatch antenna is performed using design parameters such as R (radius of the hexagon), Tp (thickness of the hexagon) and µc (chemical potential of graphene) to obtain optimum characteristics suitable for quantum plasmonic sensing applications. The study demonstrates that the proposed hexagonal-shaped nano-antenna exhibits gain of 4.9 dBi, 2.46 dBi, 14.99 dBi, 8.25 dBi, 5.15 dBi, 10.87 dBi and 2.4 dBi at 29.87 THz, 30 THz, 35 THz, 113.5 THz, 132.5 THz, 85 THz and 24 THz, respectively. The field enhancement factors observed at these frequencies are 794, 779, 584, 255, 234, 654 and 217, respectively.

LMTdb: A comprehensive transcriptome database for climate-resilient, nutritionally rich little millet (Panicum sumatrense).

Little millet (Panicum sumatrense) a native of Chhattisgarh, belongs to the minor millet group and is primarily known as a climate-resilient and nutritionally rich crop. However, due to the lack of enough Omic studies on the crop, the scientific community has largely remained unaware of the potential of this crop, resulting in less scope for its utilization in crop improvement programs. Looking at global warming, erratic climate change, nutritional security, and limited genetic information available, the Little Millet Transcriptome Database (LMTdb) (https://igkv.ac.in/xenom/index.aspx) was conceptualized upon completion of the transcriptome sequencing of little millet with the aim of deciphering the genetic signatures of this largely unknown crop. The database was developed with the view of providing information about the most comprehensive part of the genome, the 'Transcriptome'. The database includes transcriptome sequence information, functional annotation, microsatellite markers, DEGs, and pathway information. The database is a freely available resource that provides breeders and scientists a portal to search, browse, and query data to facilitate functional and applied Omic studies in millet crops.

Correlation of Brain Biomarker Neuron Specific Enolase (NSE) with Degree of Disability and Neurological Worsening in Cerebrovascular Stroke.

Stroke is the third major cause of death and foremost cause of disability worldwide. Cerebrovascular stroke remains largely a clinical diagnosis. The use of biomarkers in diagnosing stroke and assessing prognosis is an emerging and rapidly evolving field. The study aimed to investigate the predictive value of neurobiochemical marker of brain damage (neuron-specific enolase [NSE]) with respect to degree of disability at the time of admission and neurological worsening in acute ischemic stroke patients. We investigated 150 patients with cerebrovascular stroke who were admitted within 72 h of onset of stroke in the Department of Neurology at SAIMS. Venous blood samples were taken after admission and NSE was analyzed by solid enzyme linked immunosorbent assay using Analyzer and microplate reader from Biored: Code 680. In all patients, the neurological status was evaluated by a standardized neurological examination and the National Institutes of Health Stroke Scale on admission and on day 7. Serum NSE concentration was found to significantly correlate with both degree of disability and neurological worsening in acute ischemic stroke cases in the present study. The maximum serum NSE level within 72 h of admission was significantly higher in patients with greater degree of disability at the time of admission. Serum NSE levels were also found to be significantly elevated in patients with bad neurological outcome. Our study showed that serum NSE has high predictive value for determining severity and early neurobehavioral outcome after acute stroke.

Peroperative enteroscopy and polypectomy in Peutz-Jegher syndrome.

We report a 32-year-old who lady when presented with anemia and was detected to have Peutz-Jegher syndrome. She had malignancies of the colon and ovary over a 2-year follow up and was successfully managed. On screening the family two more members were confirmed to have Peutz-Jeghers syndrome and have been put on surveillance.

A study of serum malondialdehyde and cytokine in tuberculosis patients.

INTRODUCTION: Tuberculosis (TB) is a common and a deadly infectious disease which is caused by Mycobacterium tuberculi. Inflammatory cytokines play an important role during the course of the disease and they may be responsible for tissue damage which is caused by lipid peroxidation. METHOD: The present study was conducted in the Department of Biochemistry and patients were selected from Department of TB and Chest Sri Aurobindo Institute of Medical Sciences and also from Manorama Raje Tuberculosis Hospital, Indore. 32 healthy controls and 35 pulmonary TB patients were compared initially for their serum Malondialdehyde (MDA) and tumour necrosis factor alpha (TNF α) levels. Serum TNF α and MDA levels were correlated. RESULT: TNF α and MDA levels in serum were significantly increased (p<0.001) in pulmonary tuberculosis patients as compared to those of controls. Increased Serum TNF α was positively correlated to MDA levels and it was found to be statistically not significant (correlation coefficient r =0.282,p> 0.05 ). CONCLUSION: The present study supports the view that there may be a link between lipid peroxidation and cytokine response and relative roles of cytokines and lipid peroxidation in the pathogenesis of tuberculosis.

Real-time DNA sequencing from single polymerase molecules.

Pacific Biosciences has developed a method for real-time sequencing of single DNA molecules (Eid et al., 2009), with intrinsic sequencing rates of several bases per second and read lengths into the kilobase range. Conceptually, this sequencing approach is based on eavesdropping on the activity of DNA polymerase carrying out template-directed DNA polymerization. Performed in a highly parallel operational mode, sequential base additions catalyzed by each polymerase are detected with terminal phosphate-linked, fluorescence-labeled nucleotides. This chapter will first outline the principle of this single-molecule, real-time (SMRT) DNA sequencing method, followed by descriptions of its underlying components and typical sequencing run conditions. Two examples are provided which illustrate that, in addition to the DNA sequence, the dynamics of DNA polymerization from each enzyme molecules is directly accessible: the determination of base-specific kinetic parameters from single-molecule sequencing reads, and the characterization of DNA synthesis rate heterogeneities.

Peroperative enteroscopy and polypectomy in Peutz-Jegher syndrome.

We report a 32-year-old who lady when presented with anemia and was detected to have Peutz-Jegher syndrome. She had malignancies of the colon and ovary over a 2-year follow up and was successfully managed. On screening the family two more members were confirmed to have Peutz-Jeghers syndrome and have been put on surveillance.