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Human infectious diseases are contributed
equally by the host immune
system’s efficiency and any pathogens’ infectivity.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the
coronavirus strain causing the respiratory pandemic coronavirus disease
2019 (COVID-19). To understand the pathobiology of SARS-CoV-2, one
needs to unravel the intricacies of host immune response to the virus,
the viral pathogen’s mode of transmission, and alterations
in specific biological pathways in the host allowing viral survival.
This review critically analyzes recent research using high-throughput
“omics” technologies (including proteomics and metabolomics)
on various biospecimens that allow an increased understanding of the
pathobiology of SARS-CoV-2 in humans. The altered biomolecule profile
facilitates an understanding of altered biological pathways. Further,
we have performed a meta-analysis of significantly altered biomolecular
profiles in COVID-19 patients using bioinformatics tools. Our analysis
deciphered alterations in the immune response, fatty acid, and amino
acid metabolism and other pathways that cumulatively result in COVID-19
disease, including symptoms such as hyperglycemic and hypoxic sequelae.
Management of severe malaria remains a critical global challenge. In this study, using a multiplexed quantitative proteomics pipeline we systematically investigated the plasma proteome alterations in non-severe and severe malaria patients. We identified a few parasite proteins in severe malaria patients, which could be promising from a diagnostic perspective. Further, from host proteome analysis we observed substantial modulations in many crucial physiological pathways, including lipid metabolism, cytokine signaling, complement, and coagulation cascades in severe malaria. We propose that severe manifestations of malaria are possibly underpinned by modulations of the host physiology and defense machinery, which is evidently reflected in the plasma proteome alterations. Importantly, we identified multiple blood markers that can effectively define different complications of severe falciparum malaria, including cerebral syndromes and severe anemia. The ability of our identified blood markers to distinguish different severe complications of malaria may aid in developing new clinical tests for monitoring malaria severity.
Objectives A variety of biological, biochemical, and biophysical markers implicated in the pathophysiology of preeclampsia during the last two decades have instigated the growing interest in this study to include both bhCG and lipid profile studies in the early second trimester as early predictors of pregnancy-induced hypertension. Early identification of at-risk women may help in taking timely preventive and curative management to prevent or delay complications associated with pregnancy-induced hypertension. Method A prospective study was performed on 120 patients attending the outpatient department of the Obstetrics and Gynaecology of the Maharaja Agrasen Hospital. All the patients were screened for serum bhCG and serum lipid profile in their early second trimester (14-20 weeks) and followed up till their delivery. Comparative studies of serum bhCG and serum lipid profile were performed between those who remain normotensive (group I) and those who developed pregnancy-induced hypertension (group II).Results TG, total cholesterol, VLDL, and LDL values for those women who developed PIH (group II) were significantly higher than those who remain normotensive (group I), with p value of\0.05 which is statistically significant. HDL and bhCG values for group II were not higher than those in group I with p value[0.05 which is statistically insignificant. Conclusion Maternal lipid profile in second trimester is very good noninvasive test which can be used for prediction of pregnancy-induced hypertension before its clinical onset. However, there is no correlation between maternal serum bhCG and pregnancy-induced hypertension.
Plasmodium vivax malaria is one of the most lethal infectious diseases, with 7 million infections annually. One of the roadblocks to global malaria elimination is the lack of highly sensitive, specific, and accurate diagnostic tools. The absence of diagnostic tools in particular has led to poor differentiation among parasite species, poor prognosis, and delayed treatment. The improvement necessary in diagnostic tools can be broadly grouped into two categories: technologies-driven and omics-driven progress over time. This article discusses the recent advancement in omics-based malaria for identifying the next generation biomarkers for a highly sensitive and specific assay with a rapid and antecedent prognosis of the disease. We summarize the state-of-the-art diagnostic technologies, the key challenges, opportunities, and emerging prospects of multi-omics-based sensors.
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