COVID-19 vaccine candidates and vaccine development platforms available worldwide

The pandemic caused by the worldwide spread of the coronavirus, which first appeared in 2019, has been named coronavirus disease 19 (COVID-19). More than 4.5 million deaths have been recorded due to the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), according to the World Health Organization. COVID-19 Dashboard in September 2021. Apart from the wildtype, other variations have been successfully transmitted early in the outbreak although they were not discovered until March 2020. Modifications in the SARS-CoV-2 genetic material, such as mutation and recombi-nation, have the ability to modify the viral life span, along with transitivity, cellular tropism, and symptom severity. Several processes are involved in introducing novel vaccines to the population, including vaccine manufacturing, preclinical studies, Food and Drug Administration permission or cer-tification, processing, and marketing. COVID-19 vaccine candidates have been developed by a number of public and private groups employing a variety of strategies, such as RNA, DNA, protein, and viral vectored vaccines. This comprehensive review, which included the most subsequent evidence on unique features of SARS-CoV-2 and the associated morbidity and mortality, was carried out using a systematic search of recent online databases in order to generate useful knowledge about the COVID-19 updated versions and their consequences on the disease symptoms and vaccine development. (c) 2021 Xi'an Jiaotong University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

The effect of cytokine leukemia-inhibitory factor (LIF) and interleukin-11 (IL-11) gene expression on the primary infertility related to polycystic ovary syndrome, Tubal factor, and Unexplained infertility in Turkish women

Background Successful implantation of blastocysts is indeed an important path in mammalian reproduction that is governed by a complicated web of cytokines interactions. Leukemia inhibitory factor (LIF) and interleukin-11 (IL-11) part of the interleukin (IL)-6 groups are cytokines that are needed for effective implantation and prevent infertility symptoms. This study aimed to determine the expression level (LIF, IL-11) genes in patients with primary infertility related to polycystic ovary syndrome (PCOS), tubal factor infertility (TFI), and unexplained infertility (UI). Results In this study, 75 infertility women and 40 controls were involved. The expressions of LIF and IL-11 genes were evaluated by quantitative real-time polymerase chain reaction qRT-PCR Light Cycler in patients and healthy controls. PCOS, TFI, and UI groups showed promising results regarding LIF gene, which appeared at very small levels compared to the control (p < 0.0001). Regarding IL-11, the two groups TFI and UI were significantly linked to the lower level of gene expression, while the PCOS group has no significant difference when it is compared to the control group (p < 0.0001, < 0.05, 0.19), respectively. Conclusion The current findings show that low levels of LIF and IL-11 gene expression are linked to various primary infertility conditions, including PCOS, tubal factor, and unexplained infertility since they play a fundamental role in embryo implantation

Biomarker potential of the GRP78 cell-free RNA in endometrial cancer

Background Circulating tumor cells represent an opportunity for the assessment of early recurrent disease or for real-time tracing of cancer. Glucose Regulated Protein 78 (GRP78) is known in the literature as a stress factor in endometrial cancer. We aimed to investigate the importance of the gene by targeting tumor traces circulating in the cell fluids of patients with Type 1 endometrial cancer, examining cell-free RNAs in patients' samples and performing ROC analysis. Methodology In this study, 32 endometrial cancer patients and 20 controls were included. This in vitro study evaluated, the GRP78 cell-free mRNA expression levels in endometrial cancer patients, by quantitative real-time polymerase chain reaction qRT-PCR Light Cycler. Receiver operating characteristic (ROC) analysis is a tool used to identify the precision of a diagnostic test or prediction model. In our study, we investigated whether the expression levels of cell-free GRP78 mRNA could be used as a diagnostic criterion. Results The ROC curve results for endometrial cancer diagnostic criterion of cfRNA GRP78 mRNA indicated quite a significant value (p < 0.001). Conclusion Current findings show that cell-free mRNA GRP78 is now a criterion that can be used together with smear mRNA GRP78 without the need for invasive methods in endometrial cancer studies

Clinical and molecular evaluation of MEFV gene variants in the Turkish population: a study by the National Genetics Consortium

Familial Mediterranean fever (FMF) is a monogenic autoinflammatory disorder with recurrent fever, abdominal pain, serositis, articular manifestations, erysipelas-like erythema, and renal complications as its main features. Caused by the mutations in the MEditerranean FeVer (MEFV) gene, it mainly affects people of Mediterranean descent with a higher incidence in the Turkish, Jewish, Arabic, and Armenian populations. As our understanding of FMF improves, it becomes clearer that we are facing with a more complex picture of FMF with respect to its pathogenesis, penetrance, variant type (gain-of-function vs. loss-of-function), and inheritance. In this study, MEFV gene analysis results and clinical findings of 27,504 patients from 35 universities and institutions in Turkey and Northern Cyprus are combined in an effort to provide a better insight into the genotype-phenotype correlation and how a specific variant contributes to certain clinical findings in FMF patients. Our results may help better understand this complex disease and how the genotype may sometimes contribute to phenotype. Unlike many studies in the literature, our study investigated a broader symptomatic spectrum and the relationship between the genotype and phenotype data. In this sense, we aimed to guide all clinicians and academicians who work in this field to better establish a comprehensive data set for the patients. One of the biggest messages of our study is that lack of uniformity in some clinical and demographic data of participants may become an obstacle in approaching FMF patients and understanding this complex disease