ABSTRACT
Aim: The study was done to evaluate extraction of teeth without altering the aspirin therapy. Materials and Method: Hundred patients taking aspirin therapy requiring extraction of teeth were separated into two groups with 50 samples in each. Group I continued the aspirin therapy during extraction of teeth on one occasion, and the same patients who discontinued the aspirin therapy 72 hours before extraction of teeth on another occasion become Group II. Result: The mean blood loss showed slightly increased bleeding in Group I in comparison to Group II. The average bleeding time and mean INR was statistically significant among both groups. The mean clotting time and mean platelet count were not statistically significant among groups. Conclusion: There was no alteration in bleeding after extraction in patients with low doses of aspirin therapy.
ABSTRACT
Objectives: To assess the outcome of implant diameter and length on THE distribution of stress using a three-dimensional (3D) finite elements (FE) analysis, with immediate loading implants. Materials and Methods: This study made use of a 3D FE model of an implant encased in a chunk of bone. The LEADER/ITALIA-Fix type implant was created specifically for immediate loading. To create a solid model of the implant and bone and to carry out the FE analysis, the ANSYS V.12 programme was used. Results: The findings indicated that the neck of dental implants is the area of highest stress for all implant diameters and lengths, with an increase in implant length from 10 mm to 12 mm resulting in a slight raise in stress at the interface of implant-bone, and an increase in diameter from 3.75 mm to 4.25 mm having no appreciable impact on the value of stresses around dental implants. Conclusion: It was concluded that an increase in length has a negative effect on stress, while a diameter increase has no discernible impact on stress values.
ABSTRACT
There is an urgent need for the ability to rapidly develop effective countermeasures for emerging biological threats, such as the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes the ongoing coronavirus disease 2019 (COVID-19) pandemic. We have developed a generalized computational design strategy to rapidly engineer de novo proteins that precisely recapitulate the protein surface targeted by biological agents, like viruses, to gain entry into cells. The designed proteins act as decoys that block cellular entry and aim to be resilient to viral mutational escape. Using our novel platform, in less than ten weeks, we engineered, validated, and optimized de novo protein decoys of human angiotensin-converting enzyme 2 (hACE2), the membrane-associated protein that SARS-CoV-2 exploits to infect cells. Our optimized designs are hyperstable de novo proteins ([~]18-37 kDa), have high affinity for the SARS-CoV-2 receptor binding domain (RBD) and can potently inhibit the virus infection and replication in vitro. Future refinements to our strategy can enable the rapid development of other therapeutic de novo protein decoys, not limited to neutralizing viruses, but to combat any agent that explicitly interacts with cell surface proteins to cause disease.
