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The monkeypox virus (MPXV), responsible for human disease, has historically been limited to the African countries, with only a few isolated instances reported elsewhere in the world. Nevertheless, in recent years, there have been occurrences of monkeypox in regions where the disease is typically absent, which has garnered global interest. Within a period of less than four months, the incidence of MPXV infections has surged to over 48,000 cases, resulting in a total of 13 deaths. This chapter has addressed the genetics of the pox virus, specifically the human monkeypox virus, and its interaction with the immune systems of host organisms. The present chapter is skillfully constructed, encompassing diagnostic methodologies that span from traditional to developing molecular techniques. Furthermore, the chapter provides a succinct analysis of the therapeutic methods employed, potential future developments, and the various emerging difficulties encountered in illness management.
Assuntos
Monkeypox virus , Mpox , Humanos , Monkeypox virus/genética , Monkeypox virus/imunologia , Monkeypox virus/patogenicidade , Mpox/diagnóstico , Mpox/imunologia , Mpox/epidemiologia , Mpox/virologia , Mpox/terapia , Interações Hospedeiro-Patógeno/imunologia , AnimaisRESUMO
The current Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) outbreak, the cause of coronavirus disease (COVID-19), has influenced health globally. So far, there are no established management options and prophylaxis for those who have been exposed to SARS-CoV-2, and those who develop COVID-19. Documented scientific evidences in similar viral outbreaks in past suggested few therapy regimens. These rather have not shown promising results in management of current pandemic. So, in the current review, we are exploring novel treatment strategies and therapies that are being explored and are in clinical and preclinical stages of research. To explore more about the same, we directed our search towards stem cell based, DNA based, or RNA based vaccines against COVID-19 under development by various universities, institutes or pharmaceutical companies. The current scientific literature and database search were performed by exploring various Trials registry (NIH: https://clinicaltrials.gov/ and https://www.coronavirus.gov) and Chinese clinical trial registry http://www.chictr.org.cn/) and for preclinical trials various University, Institutions, Pharmaceutical companies websites and news bulletins along with google search were checked routinely from 3rd March 2020 to 16 May 2020. The term "Stem Cell therapy and COVID-19", "Mesenchymal stem cell and corona 2019 virus", "DNA Vaccines and COVID-19, RNA Vaccines and COVID-19" and "Cell-based therapy with SARS-CoV-2, University/Institutions and COVID-19 research" were used. The vaccine trials (Stem Cells/DNA/RNA) which were cancelled were not included in this review. Similarly, few others like repurposing of drugs, Nano Vaccines, other miscellaneous trials of Herbs, Music therapy etc., were also excluded. In the present review, we have included the various novel therapies like stem cell therapy, DNA or RNA vaccines which are under development and if proven successful may have a lasting impact on the health industry.
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Inadequate methods may cause substantial loss not only in the quantity but also in quality of the product. This study aimed to determine the best method for making single cell suspension for isolation of RNA and flow cytometer analysis from cancer tissue. We compared two methods of tissue disruption used during RNA isolation and flow cytometer analysis. Mechanical tissue disruption method and enzymatic tissue digestion method are commonly used for making single cell suspension before RNA isolation and flow cytometer analysis. 20 resected tissue samples were dissociated into single cells by mechanical and enzymatic methods. Quality and quantity of isolated miRNA was graded by the ratio of 260/280 nm and by running gels. The results revealed that mechanical hand held tissue homogenizer showed better yield than enzymatic (719.12 ± 513.67 vs. 524.87 ± 388.18 ng/µl) and the quality 260/280 nm ratio was significantly better [2.15 ± 0.21 vs. 1.57 ± 0.23; 95% CI (0.402-0.730); p < 0.001] in mechanical method than enzymatic. However, for flow cytometer enzymatic digestion was best. The mechanical method is very suitable for isolating miRNA than enzymatic while enzymatic digestion is most favorable for flow-cytometer analysis as it reduces debris in comparison of mechanical process of shearing.
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Breast cancer is recognized for its different clinical behaviors and patient outcomes, regardless of common histopathological features at diagnosis. The heterogeneity and dynamics of breast cancer undergoing clonal evolution produces cells with distinct degrees of drug resistance and metastatic potential. Presently, single cell analysis have made outstanding advancements, overshadowing the hurdles of heterogeneity linked with vast populations. The speedy progression in sequencing analysis now allow unbiased, high-output and high-resolution elucidation of the heterogeneity from individual cell within a population. Classical therapeutics strategies for individual patients are governed by the presence and absence of expression pattern of the estrogen and progesterone receptors and human epidermal growth factor receptor 2. However, such tactics for clinical classification have fruitfulness in selection of targeted therapies, short-term patient responses but unable to predict the long-term survival. In any phenotypic alterations, like breast cancer disease, molecular signature have proven its implication, as we aware that individual cell's state is regulated at diverse levels, such as DNA, RNA and protein, by multifaceted interplay of intrinsic biomolecules pathways existing in the organism and extrinsic stimuli such as ambient environment. Thus for complete understanding, complete profiling of single cell requires a synchronous investigations from different levels (multi-omics) to avoid incomplete information produced from single cell. In this article, initially we briefed on novel updates of various methods available to explore omics and then we finally pinpointed on various omics (i.e. genomics, transcriptomics, epigenomics, proteomics and metabolomics) data and few special aspects of circulating tumor cells, disseminated tumor cells and cancer stem cells, so far available from various studies that can be used for better management of breast cancer patients.
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The current advent of molecular technologies together with a multidisciplinary interplay of several fields led to the development of genomics, which concentrates on the detection of pathogenic events at the genome level. The structural and functional genomics approaches have now pinpointed the technical challenge in the exploration of disease-related genes and the recognition of their structural alterations or elucidation of gene function. Various promising technologies and diagnostic applications of structural genomics are currently preparing a large database of disease-genes, genetic alterations etc., by mutation scanning and DNA chip technology. Further the functional genomics also exploring the expression genetics (hybridization-, PCR- and sequence-based technologies), two-hybrid technology, next generation sequencing with Bioinformatics and computational biology. Advances in microarray "chip" technology as microarrays have allowed the parallel analysis of gene expression patterns of thousands of genes simultaneously. Sequence information collected from the genomes of many individuals is leading to the rapid discovery of single nucleotide polymorphisms or SNPs. Further advances of genetic engineering have also revolutionized immunoassay biotechnology via engineering of antibody-encoding genes and the phage display technology. The Biotechnology plays an important role in the development of diagnostic assays in response to an outbreak or critical disease response need. However, there is also need to pinpoint various obstacles and issues related to the commercialization and widespread dispersal of genetic knowledge derived from the exploitation of the biotechnology industry and the development and marketing of diagnostic services. Implementation of genetic criteria for patient selection and individual assessment of the risks and benefits of treatment emerges as a major challenge to the pharmaceutical industry. Thus this field is revolutionizing current era and further it may open new vistas in the field of disease management.