The nuts and bolts of recombination in the generation of SARS-CoV-2 variants; from XA to XBB.

Since the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), new variants with enhanced transmissibility and pathogenicity have surfaced. The World Health Organization has designated five such variants-Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1), Delta (B.1.617.2), and Omicron (B.1.1.529)-as variants of concern. Each variant exhibits distinct characteristics, with many displaying a combination of point mutations and insertions/deletions (indels). These genetic alterations, including mutations, recombinations, and rearrangements, contribute to the emergence of new strains that may exhibit modified phenotypes. However, identifying recombinant forms can be challenging due to their resemblance to other lineages. It is critical to monitor the evolution of new recombinant variants, particularly in light of the potential for vaccine-resistant strains and their accelerated propagation. Recombination has played a pivotal role in the development of certain SARS-CoV-2 variants, such as XA, XD, XF, XE, and XBB, among others. This report delves into the significance of recombination in the evolution of SARS-CoV-2 variants, especially Omicron sublineages, underscoring the necessity for continuous surveillance of the SARS-CoV-2 genome to identify newly emerged recombinant variants.

Investigating the association between diabetes and carpal tunnel syndrome: A systematic review and meta-analysis approach.

INTRODUCTION: In recent years, several studies have reported on the relationship between diabetes and carpal tunnel syndrome (CTS). However, due to their contradictory results, a systematic review and meta-analysis were conducted to investigate this subject. METHODS: This study is a systematic review and meta-analysis of studies published in ISI Web of Science, Scopus, PubMed, Cochrane, Google Scholar, and Embase databases. Heterogeneity in the studies included in the meta-analysis was evaluated using statistical tests such as the Chi-square test, I2, and forest plots. Publication bias was assessed using Begg's and Egger's tests. RESULTS: This investigation analyzed data from 42 studies conducted between 1985 and 2022, with a total of 3,377,816 participants. The meta-analysis demonstrated that the odds ratio (OR) of CTS in participants with a history of diabetes compared to those without was 1.90 (95% CI: 1.64-2.21; P-value < 0.001). Given that publication bias was observed in this study (Begg's test P-value = 0.01), the modified OR was calculated with consideration of missed studies, which was 1.68 (95% CI: 1.45-1.94; P-value < 0.001). CONCLUSION: The results of this study suggest that diabetic patients have 90% higher odds of developing CTS compared to non-diabetic individuals, which is statistically significant.

Clustering Undergraduate Students Based on Academic Burnout and Satisfaction from the Field Using Partitioning around Medoid.

Background: Academic satisfaction is known as one of the most important factors in increasing students' efficiency, and academic burnout is one of the most significant challenges of the educational system, reducing student motivation and enthusiasm. Clustering methods try to categorize individuals into a number of homogenous groups. Aims: To cluster undergraduate students at Shahrekord University of Medical Sciences based on academic burnout and satisfaction with their field of study. Materials and Methods: The multistage cluster sampling method was used to select 400 undergraduate students from various fields in 2022. The data collection tool included a 15-item academic burnout questionnaire and a 7-item academic satisfaction questionnaire. The average silhouette index was used to estimate the number of optimal clusters. The NbClust package in R 4.2.1 software was used for clustering analysis based on the k-medoid approach. Results: The mean score of academic satisfaction was 17.70 ± 5.39, while academic burnout averaged 37.90 ± 13.27. The optimal number of clusters was estimated at two based on the average silhouette index. The first cluster included 221 students, and the second cluster included 179 students. Students in the second cluster had higher levels of academic burnout than the first cluster. Conclusion: It is suggested that university officials take measures to reduce the level of academic burnout through academic burnout training workshops led by consultants to promote the students' interests.