Biocompatibility Testing for Implants: A Novel Tool for Selection and Characterization.

This review article dives into the complex world of biocompatibility testing: chemical, mechanical, and biological characterization, including many elements of biocompatibility, such as definitions, descriptive examples, and the practical settings. The focus extends to evaluating standard documents obtained from reliable organizations; with a particular focus on open-source information, including FDA-USA, ISO 10933 series, and TÜV SÜD. We found a significant gap in this field: biomaterial scientists and those involved in the realm of medical device development in general, and implants in particular, lack access to a tool that reorganizes the process of selecting the appropriate biocompatibility test for the implant being examined. This work progressed through two key phases that aimed to provide a solution to this gap. A straightforward "yes or no" flowchart was initially developed to guide biocompatibility testing decisions based on the previously accumulated information. Subsequently, the Python code was employed, generating a framework through targeted questions. This work reshapes biocompatibility evaluation, bridging theory and practical implementation. An integrated approach via a flowchart and the Python code empowers stakeholders to navigate biocompatibility testing effortlessly. To conclude, researchers are now better equipped for a safer, more effective implant development, propelling the field towards improved patient care and innovative progress.

COVID-19 chest X-ray image analysis by threshold-based segmentation.

COVID-19 is a severe acute respiratory syndrome that has caused a major ongoing pandemic worldwide. Imaging systems such as conventional chest X-ray (CXR) and computed tomography (CT) were proven essential for patients due to the lack of information about the complications that could result from this disease. In this study, the aim was to develop and evaluate a method for automatic diagnosis of COVID-19 using binary segmentation of chest X-ray images. The study used frontal chest X-ray images of 27 infected and 19 uninfected individuals from Kaggle COVID-19 Radiography Database, and applied binary segmentation and quartering in MATLAB to analyze the images. The binary images of the lung were split into four quarters; Q1 = right upper quarter, Q2 = left upper quarter, Q3 = right lower, and Q4 = left lower. The results showed that COVID-19 patients had a higher percentage of attenuation in the lower lobes of the lungs (p-value < 0.00001) compared to healthy individuals, which is likely due to ground-glass opacities and consolidations caused by the infection. The ratios of white pixels in the four quarters of the X-ray images were calculated, and it was found that the left lower quarter had the highest number of white pixels but without a statistical significance compared to right lower quarter (p-value = 0.102792). This supports the theory that COVID-19 primarily affects the lower and lateral fields of the lungs, and suggests that the virus is accumulated mostly in the lower left quarter of the lungs. Overall, this study contributes to the understanding of the impact of COVID-19 on the respiratory system and can help in the development of accurate diagnostic methods.

Potential linear B-cells epitope change to a helix structure in the spike of Omicron 21L or BA.2 predicts increased SARS-CoV-2 antibodies evasion.

The world health organization has announced that SARS-CoV-2 Omicron variant (B.1.1.529), including the three versions; 21K (BA.1), 21L (BA.2) and 21M (BA.3) as a variant of concern (VOC) on November 2022. In this study, we used the specialized computational platforms to predict the stability and flexibility of the spike protein of Omicron. The aim of this study was to investigate the expected effect of Omicron spike mutations on its physiochemical properties. Findings of this study revealed 16 stabilizing mutations that might explain a newly gained environmental stability. We expect the new mutations to play a crucial role in changing the physiochemical properties of epitopes of the spike protein. The notable finding of SuerPose work was the potential linear B-cells epitope G252 → S255 that has been changed in the spike protein of the Omicron 21L to a helix structure which might confer an escape from human monoclonal antibodies.

Dynamics prediction of emerging notable spike protein mutations in SARS-CoV-2 implies a need for updated vaccines.

The spike protein of SARS-CoV-2 plays a crucial role in binding with the human cell surface, which causes its pathogenicity. This study aimed to predict molecular dynamics change of emerging variants in the spike protein. In this study, several structural biology tools, such as SuperPose, were utilized to study spike protein structures' thermodynamics, superimposition, and the spike protein disulphide bonds. This questions the current vaccines efficacies that were based on the Nextstrain clade 19A that first documented in Wuhan and lacks any variants. The prediction results of this study have exhibited the stabilizing role of the globally dominant variant, the D614G; clade 20A, and other variants in addition to their role in increasing the flexibility of the spike protein of the virus. The SuperPose findings have revealed a conformational change impact of D614G in allowing the polybasic Furin cleavage site (682RRAR↓S686) to be closer to the receptor-binding domain (RBD) and hence more exposed to cleavage. The presence of D614G in any clade or subclade, such as 20A, B.1.1.7 (20I/501Y.V1) or Alpha, B.1.351 (20H/501Y.V2) or Beta, P.1 (20J/501Y.V3) or Gamma, B.1.617.2 (21A/478K.V1) or Delta, has increased its stability and flexibility and unified the superimposition among all clades which might impact the virus ability to escape the antibodies neutralization by changing the antigenicity drift of the protein three-dimensional (3D) structure from the wild type clade 19A; this is in agreement with previous study. In conclusion, a new design for the current vaccines to include at least the mutation D614G is immediately needed.

The Psychological Effects of Physicians' Communication Skills on COVID-19 Patients.

PURPOSE: The COVID-19 pandemic has affected physician-patient communication (PPC) in multiple ways. This study aims to report on the impact of physician-patient communication (PPC) skills on COVID-19 patients' psychology in Jordan. SAMPLE AND METHODS: In this study, two questionnaires were designed. The first questionnaire targeted physicians, with 72 responses, and the second questionnaire targeted patients, with 248 responses. Both questionnaires contained common sections covering nine aspects of communication such as empathy, honesty, optimism, simple and deliberateness. RESULTS: This study found that the psychological effect of physicians' positive communication skills on COVID-19 patients is significant. There were almost statistical agreement between physicians' and patients' questionnaire responses that the physicians' communication skills have positively affected the patients' psychological status; all patients' responses confirmed this finding. CONCLUSION: Based on this study's findings, appropriate and continuous training will advance physicians' communication skills in the form of exercises that could be as simple as class- or lecture-based activities, or using technology-based learning. Using a protocol or handbook to guide such communication is another essential strategy to enhance physician-patient communication (PPC). The study recommends that physicians must be aware that PPC skills required may vary depending on whether they are dealing with a pandemic or non-pandemic situation. Generally, appropriate or positive communication skills are considered one of the main factors effecting patients' psychological responses to their diagnosis.

Mutational sensitivity of D614G in spike protein of SARS-CoV-2 in Jordan.

BACKGROUND: Spike protein is the surface glycoprotein of the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) necessary for the entry of the virus via the transmembrane receptors of the human respiratory cells causing COVID-19 disease. AIM: Here, we aimed to predict the three-dimensional monomer structure of spike protein of SARS-CoV-2 from 20 Jordanian nasopharyngeal samples and to determine the percentage of single amino acid variants (SAV) in the spike protein of SARS-CoV-2. METHODS: The output of the Protein Homology/analogY Recognition Engine V 2.0 (Phyre2) found four single amino acid variants in the spike gene. RESULTS: The first variant represented by 5% of samples that showed tyrosine deletion at Y144 located in the N terminal domain. The second and the dominant variant, represented by 62%, showed aspartate a coil amino acid substitution to glycine an extracellular amino acid at D614G located in the spike recognition binding site. The third variant, represented by 5%, showed aspartate substitution to tyrosine at D1139Y, and the fourth variant, represented by 5% glycine substitution to serine at G1167S. CONCLUSION: Our results have shown low mutational sensitivity in all variants except to D614G the one with the most likely neutral mutational sensitivity that all variants might not explicitly affect the function of spike glycoprotein. However, D614G might change the viral conformational plasticity and hence a potential viral fitness gain but one must be cautious about drawing any concrete conclusions about the severity of symptoms and viral transmission from genomic data only. GENERAL SIGNIFICANCE: Studying mutations such as D614G in deep is essential to control the pandemic in terms of immune systems, antibodies, or even vaccines.

Highlights on selected microscopy techniques to study zebrafish developmental biology.

Bio-imaging is a tedious task when it concerns exploring cell functions, developmental mechanisms, and other vital processes in vivo. Single-cell resolution is challenging due to different issues such as sample size, the scattering of intact and opaque tissue, pigmentation in untreated animals, the movement of living organs, and maintaining the sample under physiological conditions. These factors might lead researchers to implement microscopy techniques with a suitable animal model to mimic the nature of the living cells. Zebrafish acquired its prestigious reputation in the biomedical research field due to its transparency under advanced microscopes. Therefore, various microscopy techniques, including Multi-Photon, Light-Sheet Microscopy, and Second Harmonic Generation, simplify the discovery of different types of internal functions in zebrafish. In this review, we briefly discuss three recent microscopy techniques that are being utilized because they are non-invasive in investigating developmental events in zebrafish embryo and larvae.

Salivary Microbiome and Cigarette Smoking: A First of Its Kind Investigation in Jordan.

There is accumulating evidence in the biomedical literature suggesting the role of smoking in increasing the risk of oral diseases including some oral cancers. Smoking alters microbial attributes of the oral cavity by decreasing the commensal microbial population and increasing the pathogenic microbes. This study aims to investigate the shift in the salivary microbiota between smokers and non-smokers in Jordan. Our methods relied on high-throughput next-generation sequencing (NGS) experiments for V3-V4 hypervariable regions of the 16S rRNA gene, followed by comprehensive bioinformatics analysis including advanced multidimensional data visualization methods and statistical analysis approaches. Six genera-Streptococcus, Prevotella, Vellionella, Rothia, Neisseria, and Haemophilus-predominated the salivary microbiota of all samples with different percentages suggesting the possibility for the salivary microbiome to restored after quitting smoking. Three genera-Streptococcus, Prevotella, and Veillonella-showed significantly elevated levels among smokers at the expense of Neisseria in non-smokers. In conclusion, smoking has a definite impact on shifting the salivary microbiota in smokers. We can suggest that there is microbial signature at the genera level that can be used to classify smokers and non-smokers by Linear Discriminant Analysis Effect Size (LEfSe) based on the salivary abundance of genera. Proteomics and metabolomics studies are highly recommended to fully understand the effect of bacterial endotoxin release and xenobiotic metabolism on the bacterial interrelationships in the salivary microbiome and how they affect the growth of each other in the saliva of smokers.

Binding of transcription factor GabR to DNA requires recognition of DNA shape at a location distinct from its cognate binding site.

Mechanisms for transcription factor recognition of specific DNA base sequences are well characterized and recent studies demonstrate that the shape of these cognate binding sites is also important. Here, we uncover a new mechanism where the transcription factor GabR simultaneously recognizes two cognate binding sites and the shape of a 29 bp DNA sequence that bridges these sites. Small-angle X-ray scattering and multi-angle laser light scattering are consistent with a model where the DNA undergoes a conformational change to bend around GabR during binding. In silico predictions suggest that the bridging DNA sequence is likely to be bendable in one direction and kinetic analysis of mutant DNA sequences with biolayer interferometry, allowed the independent quantification of the relative contribution of DNA base and shape recognition in the GabR-DNA interaction. These indicate that the two cognate binding sites as well as the bendability of the DNA sequence in between these sites are required to form a stable complex. The mechanism of GabR-DNA interaction provides an example where the correct shape of DNA, at a clearly distinct location from the cognate binding site, is required for transcription factor binding and has implications for bioinformatics searches for novel binding sites.