Tailoring Proteins to Re-Evolve Nature: A Short Review.

Proteins are key biomolecules for most biological processes, their function is related to their conformation that is also dictated by their sequence of amino acids. Through evolution, nature has produced an immense variety of enzymatic tools of high efficiency and selectivity, and thanks to the understanding of the molecular basis of life and the technological advances, scientists have learned to introduce mutations and select mutant enzymes, to optimize and control their molecular fitness characteristics mainly for industrial, medical and environmental applications. The relationship between protein structure and enzymatic functionality is essential, and there are various experimental and instrumental techniques for unravelling the molecular changes, activities and specificities. Protein engineering applies computational tools, in hand with experimental tools for mutations, like directed evolution and rational design, along with screening methods to obtain protein variations with the desired properties under a short time frame. With innovations in technology, it is possible to fine tune properties in proteins and reach new frontiers in their applications. The present review will briefly discuss these points and methods, with a glimpse on their strengths and pitfalls, while giving an overview of the versatility of synthetic proteins and their huge potential for biotechnological and biomedical fields.

FOXE1 Mutation Screening in a Case with Cleft Lip, Hypothyroidism, and Thyroid Carcinoma: A New Syndrome?

A 26-year-old woman is referred to the Internal Medicine consultation due to increases in laboratory studies associated with Papillary Thyroid Carcinoma (PTC) that was confirmed by histopathological studies. Her clinical history revealed that, at 3 months of age, she was successfully treated with surgery for cleft lip (CL) and at the age of 24 years was diagnosed with hypothyroidism. Single nucleotide polymorphisms (SNPs) in FOXE1 and its promoter regions have been associated with various etiologies related to the thyroid, including orofacial clefting, specially cleft palate (CP) and CL, hypothyroidism (HT), and thyroid cancer. The association of CL, HT, and PTC might be component of a new syndrome; however FOXE1 coding region, which has been involved with these entities, has not exhibited mutations or SNPs. Further study of other genes may help in better characterization of the possible syndrome.

Association of inflammatory and oxidative stress biomarkers in subjects with cardiovascular risk.

Cardiovascular disease is originated in the vascular endothelium, which controls the homeostasis and the filtration and diffusion of molecules from blood to the tissues. The classical cardiovascular risk factors (CRFs) act directly on the endothelium through an increase in the production of reactive oxygen species, promoting an endothelial activation mediated by the expression of adhesion and proinflammatory molecules, which lead to endothelial dysfunction, the progression of the atherosclerotic plaque, and the onset of cardiovascular disease. The objective of this study was to analyze the association of superoxide dismutase, catalase, gluthatione peroxidase, and lipoperoxidation with fibrinogen, interleukin (IL)-6, tumor necrosis factor-α, and vascular cell adhesion molecule (VCAM)-1 in subjects with cardiovascular risk (CVR) and CRF. This was a cross-sectional study of 114 individuals; oxidative stress (superoxide dismutase, catalase, gluthatione peroxidase, and lipoperoxidation) and inflammatory (fibrinogen, IL-6, tumor necrosis factor-α, and VCAM-1) biomarkers were measured; a CVR score (Framingham) and its CRF were taken into consideration to classify the participants. Twenty-nine subjects out of a total of 114 had high CVR. Smokers and subjects with diabetes (43 subjects) were excluded from the low CVR group. Significant decreases in lipoperoxidation, IL-6, and VCAM-1 and an increase in SOD were found in the high CVR group (P ≤ 0.05). Individual analysis of each CRF in the 114 subjects revealed a different pattern in the biomarkers' statistical differences. Concluding that the biomarkers show statistical differences in each CRF, especially IL-6, VCAM-1, and SOD; therefore, these are highly recommended to be used as biomarkers of the oxidative stress and inflammatory status in CVR.