The New Coronavirus (SARS-CoV-2): A Comprehensive Review on Immunity and the Application of Bioinformatics and Molecular Modeling to the Discovery of Potential Anti-SARS-CoV-2 Agents.

On March 11, 2020, the World Health Organization (WHO) officially declared the outbreak caused by the new coronavirus (SARS-CoV-2) a pandemic. The rapid spread of the disease surprised the scientific and medical community. Based on the latest reports, news, and scientific articles published, there is no doubt that the coronavirus has overloaded health systems globally. Practical actions against the recent emergence and rapid expansion of the SARS-CoV-2 require the development and use of tools for discovering new molecular anti-SARS-CoV-2 targets. Thus, this review presents bioinformatics and molecular modeling strategies that aim to assist in the discovery of potential anti-SARS-CoV-2 agents. Besides, we reviewed the relationship between SARS-CoV-2 and innate immunity, since understanding the structures involved in this infection can contribute to the development of new therapeutic targets. Bioinformatics is a technology that assists researchers in coping with diseases by investigating genetic sequencing and seeking structural models of potential molecular targets present in SARS-CoV2. The details provided in this review provide future points of consideration in the field of virology and medical sciences that will contribute to clarifying potential therapeutic targets for anti-SARS-CoV-2 and for understanding the molecular mechanisms responsible for the pathogenesis and virulence of SARS-CoV-2.

Modulation of the Serotonergic Receptosome in the Treatment of Anxiety and Depression: A Narrative Review of the Experimental Evidence.

Serotonin (5-HT) receptors are found throughout central and peripheral nervous systems, mainly in brain regions involved in the neurobiology of anxiety and depression. 5-HT receptors are currently promising targets for discovering new drugs for treating disorders ranging from migraine to neuropsychiatric upsets, such as anxiety and depression. It is well described in the current literature that the brain expresses seven types of 5-HT receptors comprising eighteen distinct subtypes. In this article, we comprehensively reviewed 5-HT1-7 receptors. Of the eighteen 5-HT receptors known today, thirteen are G protein-coupled receptors (GPCRs) and represent targets for approximately 40% of drugs used in humans. Signaling pathways related to these receptors play a crucial role in neurodevelopment and can be modulated to develop effective therapies to treat anxiety and depression. This review presents the experimental evidence of the modulation of the "serotonergic receptosome" in the treatment of anxiety and depression, as well as demonstrating state-of-the-art research related to phytochemicals and these disorders. In addition, detailed aspects of the pharmacological mechanism of action of all currently known 5-HT receptor families were reviewed. From this review, it will be possible to direct the rational design of drugs towards new therapies that involve signaling via 5-HT receptors.

Progesterone receptor (PROGINS) polymorphism and the risk of ovarian cancer.

The present case-control study evaluates the role of the progesterone receptor (PR) polymorphism known as PROGINS as a risk factor for ovarian cancer development and investigates the association between these genetic variants and clinical/pathologic variables of ovarian cancer. PROGINS polymorphism was examined, by polymerase chain reaction, in a total of 80 patients with ovarian cancer and 282 control subjects. The frequencies of PROGINS polymorphism T1/T1, T1/T2, and T2/T2 were 71.3, 15.0 and 13.8% in ovarian cancer patients and 78.37, 21.63 and 0% in controls, respectively. The chi(2)-test showed a higher incidence of the T2/T2 genotype (P=0.001) in the ovarian cancer group. In addition, women carrying a mutated allele (T2) showed approximately 2.2 times higher risk of ovarian cancer development as compared to women who have a variant allele (odds ratio (OR)=2.2; 95% CI=1.80-3.54). Regarding the clinical and pathologic findings observed within the cancer group, there was a significant correlation between PROGINS polymorphism and patients with a familial history (chi(2)=6.776; P=0.009; Fischer exact test, P=0.01). In this regard, patients with familial antecedents have a 4.7 times higher likelihood to have at least one risk allele (T2) as compared with patients without familial antecedents (OR=4.69; 95% CI=1.38-15.87). No correlations were observed among the other variables. These data suggest that the PROGINS polymorphism T2/T2 genotype might be associated with an increased risk of ovarian cancer.