The perception of genetic diseases and premarital screening tests in the central region of Saudi Arabia.

The prevalence of consanguineous marriages (CMs) varies worldwide from one country to another. However, the Middle East stands out as a region with a notably high rate of CMs. CM is particularly widespread in Saudi Arabia, where the prevalence of autosomal recessive genetic diseases has increased. This study aims to identify the Saudi population's awareness of genetic diseases and premarital screening tests (PMSTs). It also seeks to understand couples' perceptions of genetic diseases before and after marriage and their attitudes towards PMSTs and genetic counselling (GC) in reducing the risk of CM. Through the administration of online questionnaires, this cross-sectional study surveyed 2,057 participants to assess their awareness of genetic diseases and their understanding of testing and preventive measures for inherited diseases. Descriptive analysis, nonparametric chi-square tests and logistic regressions were performed to assess the association of categorical responses. This study included 2,035 Saudi Arabian respondents. A significant correlation was found between positive family history and partner selection (p = 0.001), as well as between partnering within the same tribe (p = 0.000139), with a different tribe (p = 0.000138) and from another family (p = 0.000489). About 91.3% of participants expressed agreement regarding the need to enhance public awareness and knowledge concerning genetic disorders, while 87% agreed that increased government regulations are required to prevent the spread of genetic diseases in affected families. Despite increased awareness of genetic diseases and PMSTs, there appears to be a lack of understanding regarding the limitations of PMSTs. The persistently high rate of CM underscores the challenge of altering marriage customs. Further governmental efforts are required to promote awareness of alternative reproductive options, establish new regulations and expand screening programmes.

A Comprehensive Two-Decade Analysis of Lymphoma Incidence Patterns in Saudi Arabia.

Background: Lymphomas account for approximately 10% of all cancer cases among the Saudi population. Even when separated, Hodgkin lymphoma (HL) and non-Hodgkin lymphoma (NHL) are in the top ten most commonly diagnosed cancers among Saudi men and women. Despite the substantial cost of HL and NHL to public health, the resources to assess their impact are insufficient. This study provides a two-decade detailed assessment of lymphoma incidence trends in the Saudi population. Methods: Analysis of the Saudi Cancer Registry (SCR) data for various incidence metrics from 2001 to 2020 was conducted. Joinpoint regression analysis was further performed to investigate temporal trends globally and by age group, gender, and administrative region. Results: HL cases grew by 174.1%, whereas NHL cases increased by only 80% for that time period. The HL overall Age-Standardized Incidence Rate (ASR) increased by 100% for both genders combined but remained unchanged for NHL. The median age at diagnosis for HL (20-30 years) and NHL (46-57 years) was lower than in many other nations. Our model identified increasing trends for HL with annual percentage changes (APCs) of 2.94% (CI: 2.2-3.7) and 3.67% (CI: 2.6-4.7) for males and females, respectively. The rise was mainly among young groups under 40. On the contrary, the NHL cohort revealed notable declining tendencies. We discovered alarming rates of HL in Saudi Arabia's APC (2.23% for males and 3.88% for females) and ASR compared to other Western countries. Overall, the majority of the patients presented with advanced-stage disease at a younger age and with slight male predominance. Conclusions: The overall incidence of lymphoma (especially HL) has been rising among Saudis. Implementation of secondary and tertiary prevention measures, as well as management of modifiable risk factors, is warranted.

Fusing Peptide Epitopes for Advanced Multiplex Serological Testing for SARS-CoV-2 Antibody Detection.

The tragic COVID-19 pandemic, which has seen a total of 655 million cases worldwide and a death toll of over 6.6 million seems finally tailing off. Even so, new variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue to arise, the severity of which cannot be predicted in advance. This is concerning for the maintenance and stability of public health, since immune evasion and increased transmissibility may arise. Therefore, it is crucial to continue monitoring antibody responses to SARS-CoV-2 in the general population. As a complement to polymerase chain reaction tests, multiplex immunoassays are elegant tools that use individual protein or peptide antigens simultaneously to provide a high level of sensitivity and specificity. To further improve these aspects of SARS-CoV-2 antibody detection, as well as accuracy, we have developed an advanced serological peptide-based multiplex assay using antigen-fused peptide epitopes derived from both the spike and the nucleocapsid proteins. The significance of the epitopes selected for antibody detection has been verified by in silico molecular docking simulations between the peptide epitopes and reported SARS-CoV-2 antibodies. Peptides can be more easily and quickly modified and synthesized than full length proteins and can, therefore, be used in a more cost-effective manner. Three different fusion-epitope peptides (FEPs) were synthesized and tested by enzyme-linked immunosorbent assay (ELISA). A total of 145 blood serum samples were used, compromising 110 COVID-19 serum samples from COVID-19 patients and 35 negative control serum samples taken from COVID-19-free individuals before the outbreak. Interestingly, our data demonstrate that the sensitivity, specificity, and accuracy of the results for the FEP antigens are higher than for single peptide epitopes or mixtures of single peptide epitopes. Our FEP concept can be applied to different multiplex immunoassays testing not only for SARS-CoV-2 but also for various other pathogens. A significantly improved peptide-based serological assay may support the development of commercial point-of-care tests, such as lateral-flow-assays.

Artificial intelligence in Immuno-genetics.

Rapid advancements in the field of artificial intelligence (AI) have opened up unprecedented opportunities to revolutionize various scientific domains, including immunology and genetics. Therefore, it is of interest to explore the emerging applications of AI in immunology and genetics, with the objective of enhancing our understanding of the dynamic intricacies of the immune system, disease etiology, and genetic variations. Hence, the use of AI methodologies in immunological and genetic datasets, thereby facilitating the development of innovative approaches in the realms of diagnosis, treatment, and personalized medicine is reviewed.