Anelloviruses (TTV, TTMV, and TTMDV) have been associated with non A-G hepatitis. The goal of the current study was to estimate the prevalence of these anelloviruses in Qatar. A total of 607 blood samples (500 healthy donors, and 53 HBV-and 54 HCV-positive patients) representing different nationalities were tested for the presence of TTV, TTMV, and TTMDV DNA by nested PCR. Prevalence rates for the three viruses were high in all studied groups, and exceeding 95% in the HBV group (for TTV and TTMDV). Infection with more than one type of viruses was common and significant in most of the positive patients (p < 0.05) and ranging from 55.4% for TTV/TTMV and TTMV/TTMDV co-infections in the healthy group, to 96.3% for TTV/TTMV co-infections in the HBV group. Further, and as with most previous studies, no significant association was found between anelloviruses infections and age, nationality, or gender (p > 0.05) albeit the detection of higher infection rates among females and Qatari subjects. This was the first published study to look at prevalence of Anellowviruses in the Middle East. High prevalence rates of the three viruses in all studied groups was noted. Further studies are needed to explore and compare the different genotypes of these viruses in the region.

Background: There are limited data on herpes simplex virus type 2 (HSV-2) seroprevalence in the Middle East and North Africa (MENA). We examined country- and age-specific HSV-2 seroprevalence among select MENA populations residing in Qatar. Methods: Sera were collected from male blood donors attending Hamad Medical Corporation between June 2013 and June 2016. Specimens were screened for anti-HSV-2 IgG antibodies following a 2-test algorithm: HerpeSelect 2 ELISA was used to identify HSV-2–positive specimens, and Euroline-WB was used to confirm positive and equivocal specimens for final HSV-2 status. Trends and associations with HSV-2 seropositivity were assessed. Results: Of the 2077 tested sera, 61 were found and confirmed positive. The proportion of those confirmed positive increased steadily with HerpeSelect 2 ELISA index value, ranging from 16.3% for index values of 1.101 to 1.999 to 92.9% for index values of 4 or greater. Nationality-specific seroprevalence was 6.0% (95% confidence interval [CI], 4.1%–8.8%) in Qataris, 5.3% (95% CI, 2.5%–11.1%) in Iranians, 4.2% (95% CI, 1.8%–9.5%) in Lebanese, 3.1% (95% CI, 1.2%–7.7%) in Sudanese, 3.0% (95% CI, 1.4%–6.4%) in Palestinians, 2.2% (95% CI, 1.1%–4.3%) in Egyptians, 2.0% (95% CI, 1.0%–5.0%) in Syrians, 1.0% (95% CI, 0.3%–3.6%) in Jordanians, 0.7% (95% CI, 0.1%–3.7%) in Yemenis, and 0.5% (95% CI, 0.1%–2.8%) in Pakistanis. There was evidence for higher seroprevalence in older age groups. Conclusions: The seroprevalence of HSV-2 was in the range of few percentage points. There were no major differences in seroprevalence by nationality. These findings add to our understanding of HSV-2 epidemiology in MENA and indicate unmet needs for sexual health and control of sexually transmitted infections.

Human parvovirus (B19V) is the causative agent of erythema infectiosum in children and is linked to a wide range of clinical manifestations. Studies related to B19V prevalence in the Middle East and North Africa (MENA) region and other parts of Asia are very scarce. The objectives of this study were to estimate the seroprevalence (anti-B19V IgM and IgG), the viremia rate (B19V DNA), and the circulating genotypes of B19V among blood donors in Qatar. Methods: Donors’ blood samples (n = 5026) from different nationalities, mainly from the MENA region and South East Asia, were collected from 2014–2016. Samples were tested for the B19V DNA using RT-PCR. Furthermore, 1000 selected samples were tested to determine the seroprevalence of B19V antibodies using enzyme-linked immunosorbent assay (ELISA). Genotyping was performed on 65 DNA positive samples by sequencing of nested PCR fragments (NS1-VP1u region, 927 nt). Results: Only 1.4% (70/5026) of the samples had detectible B19V DNA in their blood. B19V DNA prevalence statistically decreased with age (p = 0.03). Anti-B19V IgG was detected in 60.3% (561/930) of the tested samples, while only 2.1% (20/930) were IgM-positive and 1.2% (11/930) were both IgM- and IgG-positive. B19V genotyping showed a predominance of Genotype 1 (100%). Sequence analysis of the NS1-VP1u region revealed 139 mutation sites, some of which were amino acid substitutions. Conclusion: Our results indicated a relatively high seroprevalence of B19V in Qatar. Most importantly, B19 DNA was detected among Qatari and non-Qatari blood donors. Therefore, blood banks in Qatar might need to consider screening for B19V, especially when transfusion is intended for high-risk populations, including immunocompromised patients.

Background: Among all types of tobacco consumption, Water-Pipe Smoking (WPS) is the most widely used in the Middle East and second-most in several other countries. The effect of WPS on normal development is not yet fully understood, thus the aim of this study is to explore the acute toxicity effects of WPS extract on zebrafish larvae. Methods: In this study, we compared the effects of WPS smoke condensates at concentrations varying from 50 to 200 µg/mL on developmental, cardiac, and behavioural (neurotoxicity) functions. Gene expression patterns of cardiac biomarkers were also evaluated by RT-qPCR. Results: Exposing zebrafish embryos to 50, 100, 150 and 200 µg/mL WPS for three days did not affect the normal morphology of Zebrafish embryos, as the tail flicking, behavioural and locomotion assays did not show any change. However, WPS deregulated cardiac markers including atrial natriuretic peptide (ANP/NPPA) and brain natriuretic peptide (BNP/NPPB). Furthermore, it induced apoptosis in a dose-dependent manner. Conclusion: Our data demonstrate that WPS can significantly affect specific cardiac parameters during the normal development of zebrafish. Further investigations are necessary to elucidate the pathogenic outcome of WPS on different aspects of human life, including pregnancy.

Zebrafish (Danio rerio) are widely used in biomedical research due to their genetic similarity to humans and rapid development. Efficient management of large embryo populations is essential for experimental reproducibility and high-throughput screening, yet manual counting and sorting methods are labor-intensive, time-consuming, and pose ergonomic risks including musculoskeletal disorders. We evaluated a commercially available AI-powered automated embryo sorting system against manual methods across 117,956 embryos to assess efficiency, accuracy, and reliability in operational facility conditions. The automated system performed simultaneous counting and quality classification at 17.3 embryos/min, while manual counting alone achieved 24.5–25.9 embryos/min (p < 0.001). The automated system provided one-pass processing convenience, though at lower instantaneous throughput than manual counting. With significant ergonomic benefits. However, performance analysis revealed 13.41% systematic undercounting (p = 0.004), limited correlation between automated classifications and developmental outcomes (survival, hatching, deformity rates p > 0.05), and 50.8% false negative rate for GFP fluorescence detection in transgenic embryos. These limitations reflect the current state of machine learning algorithm training rather than fundamental technological constraints. The system’s AI architecture enables continuous improvement as algorithms encounter diverse embryo populations and incorporate user feedback through customizable training platforms. Our large-scale operational evaluation provides quantitative performance benchmarks for facilities considering automation adoption and contributes valuable real-world training data for algorithm refinement. We recommend context-dependent implementation: automated processing for high-volume routine workflows where speed and ergonomic benefits are prioritized, combined with manual validation for transgenic line maintenance and accuracy-critical applications. As an early-generation commercial platform with machine learning at its core, the system demonstrates clear improvement pathways through expanded training datasets and user-contributed algorithm optimization.