Novel electrochemical biosensor key significance of smart intelligence (IoMT & IoHT) of COVID-19 virus control management.

Recent outbreak of COVID-19 pandemic has led to the different possibilities of the development of treatment against corona virus. To know the phylogenicity of SARS-CoV, various studies have been conducted with the outcome of the results showing virulence is caused due to spike protein. Various detection techniques with clinical approach like imaging technology, RT-PCR etc. are comparatively expensively than the use of biosensors. Nano-biosensors have an excellent way of approach to track the conditions of individual and public providing information about the existing condition and treatment status. Electrochemical nano-biosensors are referred as an excellent way of detection. The use of graphene based electrochemical nano-biosensors are most advantageous due to its elevated properties. Fluorescence investigation is one of the precise ways of sensing, optical biosignals that helps in obtaining real time results with high accuracy and negligible changes. The potential application of nano-biosensors are very wide, improvised and advanced Nanotechnology helps in the use of nano-biosensors detect all possible biosignals. Significant ubiquitous IoT-enabled novel sensor technologies that can be potentially utilized to respond various facets the growing COVID-19 pandemic from diagnostic and therapeutics to the prevention stage.

Metabolic Syndrome and Its Components: A Cross-Sectional Analysis of Its Distribution among Pre- and Post-Menopausal Women from Northern India.

Aim: This study aims to determine the prevalence of Metabolic Syndrome (MS) and recognize its abnormal components in pre and postmenopausal women. We also aim to recognize the abnormal components in postmenopausal women with regard to duration since menopause. Materials and Methods: The cross-sectional study was undertaken among pre- and post-menopausal women between 40 and 65 years. Women with MS were identified as per the modified National Cholesterol Education Program Adult Treatment Panel III. Results: A total of 220 women were enrolled comprising 112 premenopausal and 108 postmenopausal women, the prevalence of MS among them being 33% and 51.85%, respectively. Postmenopausal status was found to be independently associated with MS when adjusted for potential confounders (adjusted odds ratios = 14.77, 95% confidence intervals: 1.77-23.33). All the components were proportionately higher in postmenopausal group, the rise in blood pressure (BP) (P = 0.003) and low high-density lipoprotein (HDL) (0.027) being statistically significant. The risk of MS, abdominal obesity, and high BP were highest in <5 years since menopause and decreased thereafter. The risk for low HDL and high triglyceride increased with the number of years since menopause, reaching the peak level in the 5-9-year group and then decreased while the risk of high fasting blood sugar increased reaching peak in the 10-14 years' group. Conclusion: The prevalence of MS is significantly high in postmenopausal women. Screening of women in premenopausal period will give an opportunity to intervene and prevent the menace of MS in Indian women predisposed to abdominal obesity, insulin resistance, and cardiovascular adverse events.

Incidence of Sino-Nasal Symptoms in COVID-19 Patients.

Corona virus disease was first reported in December 2019 in Wuhan, China and is spreading across the world in an alarming fashion. To contain the spread, it is very important to identify the subtle/not readily apparent symptoms of COVID-19 at the earliest. The aim of the study is to determine the incidence duration progress of sino-nasal symptoms in COV 2 positive patients using SNAQ scoring. Patients who tested positive for SARS-COV 2 by RT-PCR and admitted in our hospital under category A (n = 382) were included in the study. A detailed history was collected from all the patients and sino-nasal assessment questionnaire (SNAQ) was provided to the patient with complaints of sinonasal symptoms and they were asked to fill the forms on day 3, 7 and 14. To identify the characteristics of sinonasal symptoms in COVID-19 patients with a history of smoking, smoking history was also collected in detail and patients were classified based on Brinkman's index into mild, moderate and severe smokers. In this study, the incidence of sinonasal symptoms was 24%. Average SNAQ scoring on day 3 was 30.09 and on day 7 was 12.9 and day 14 is 3.8. There was a decline in score on day 7 compared to day 3 indicating symptoms decrease by day7. Average SNAQ scoring in non-smokers and mild and moderate smokers was 20.18, 34.11, 57.5 respectively. The SNAQ scoring in smokers was more than that of non-smokers and was also persistent for a longer duration compared to non-smokers. Sino-nasal symptoms catch our eye because it is an important route for transmission. Viral shedding from sinonasal tract may be an important source for transmission. History and degree of smoking should also be considered while dividing COVID-19 patients into categories.

Fuzzy based algorithms to predict MicroRNA regulated protein interaction pathways and ranking estimation in Arabidopsis thaliana.

In living organisms, the MicroRNAs act as an important role by controlling regulatory mechanisms, and likely manipulating the output of numerous protein-coding genes. Several computational databases, algorithms and tools have been developed to discover the miRNA target genes. But, the existing methods obtain poorer results in identification of miRNA target gene. Hence in this research work, integrated prediction scores is used to identify the microRNA target interactions and hybrid fuzzy algorithms are used to make final predictions. The proposed algorithms such as Fuzzy, Fuzzy + Support Vector Machine (SVM) and Fuzzy + SVM + Random Forest (RF) are used to conduct prediction by majority voting and it is compared with the existing techniques such as SVM, RF and Neural Network (NN) to demonstrate the performance of the proposed algorithms. Furthermore, the ranking features are estimated using the Arabidopsis thaliana microRNA sequence. From the experimental results, it is inferred that the proposed Fuzzy + SVM + RF algorithm performs superior than the existing ones.

A mouse model for luminal epithelial like ER positive subtype of human breast cancer.

BACKGROUND: Generation of novel spontaneous ER positive mammary tumor animal model from heterozygous NIH nude mice. METHODS: Using brother-sister mating with pedigree expansion system, we derived a colony of heterozygous breeding females showing ER-Positive tumors around the age of 6 months. Complete blood picture, differential leukocyte count, and serum levels of Estrogen, Alanine amino transferase (SGPT), Aspartate amino transferase (SGOT), total protein and albumin were estimated. Aspiration biopsies and microbiology were carried out. Gross pathology of the tumors and their metastatic potential were assessed. The tumors were excised and further characterized using histopathology, cytology, electron microscopy (EM), molecular markers and Mouse mammary Tumor Virus - Long Terminal Repeats (MMTV LTR) specific RT-PCR. RESULTS: The tumors originated from 2nd or 5th or both the mammary glands and were multi-nodulated with variable central necrosis accompanied with an accumulation of inflammatory exudate. Significant increases in estrogen, SGPT, SGOT and neutrophils levels were noticed. Histopathologically, invasive nodular masses of pleomorphic tubular neoplastic epithelial cells invaded fibro-vascular stroma, adjacent dermis and subcutaneous tissue. Metastatic spread through hematogenous and regional lymph nodes, into liver, lungs, spleen, heart and dermal lymphatics was observed. EM picture revealed no viral particles and MMTV-negativity was confirmed through MMTV LTR-specific RT-PCR. High expression of ER alpha, moderate to high expression of proliferating cell nuclear antigen (PCNA), moderate expression of vimentin and Cytokeratin 19 (K19) and low expression of p53 were observed in tumor sections, when compared with that of the normal mammary gland. CONCLUSION: Since 75% of human breast cancer were classified ER-positive and as our model mimics (in most of the characteristics, such as histopathology, metastasis, high estrogen levels) the ER-positive luminal epithelial-like human breast cancer, this model will be an attractive tool to understand the biology of estrogen-dependant breast cancer in women. To our knowledge, this is the first report of a spontaneous mammary model displaying regional lymph node involvement with both hematogenous and lymphatic spread to liver, lung, heart, spleen and lymph nodes.