Circulating tumor DNA (ctDNA) profiling offers non-invasive insights for personalized prostate cancer management. This systematic review provides the first comprehensive appraisal of ctDNA assay methods, genomic targets, and their clinical correlations and proposes practical recommendations to guide future standardization and validation. We searched PubMed, ScienceDirect, Scopus, and the Cochrane Library starting December 2024 following PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. From 229 records, 44 studies (10,631 patients) met the inclusion criteria. Plasma ctDNA analyzed by NGS predominantly profiled TP53 (72.7%), AR (70.4%), BRCA1/2 (61.3%), ATM (50%), RB1 (47.7%), and PTEN (41%). ctDNA positivity and specific key alterations correlated with poorer overall and progression-free survival. BRCA1/2-mutant patients benefited from Olaparib plus Abiraterone, while persistent alterations predicted early progression. Beyond synthesizing existing evidence, we identify key gaps, such as inconsistent reporting of variant allele fractions, limited diversity in study populations, and underexplored rare alterations. We recommend unified reporting standards (e.g., variant allele frequency thresholds and panel composition) and prioritized prospective trials to validate high-impact targets. These steps will accelerate the integration of ctDNA into routine precision oncology practice worldwide.

Background: bacterial pathogens and their toxins present analytical challenges for rapid and specific detection, contributing to over 600 million cases of illness annually and worsening antimicrobial resistance (AMR). Conventional detection methods are useful but limited. Single-domain antibodies (sdAbs) offer alternative recognition elements with unique biochemical and engineering benefits, enabling the development of nanobody-based immunoassays and biosensing platforms that provide fast, highly selective, and reliable detection of bacterial pathogens and toxins in both food and clinical environments. Objectives: this systematic review assesses the analytical and functional performance of nanobody-based immunoassays and sensing formats for detecting bacteria and toxins across food and clinical samples. Methods: following PRISMA guidelines, major scientific databases were used to gather research, resulting in 32 eligible studies published between 2011 and 2025. Results: data collected included assay platforms, target bacteria and toxins, limit of detection, sensitivity, specificity, matrix recovery, and practicality. Risk of bias was evaluated using an adapted QUADAS-2 framework. The review shows that nanobody-based immunoassays have achieved high performance, thermostability, compatibility with genetic engineering, and versatile assay design. When combined with advanced transduction and signal amplification strategies, these systems contribute to the development of highly sensitive and user-friendly bioanalytical platforms for detecting bacteria and toxins. Conclusions: however, most studies relied on spiked samples and lacked large-scale validation, emphasizing the need for standardized benchmarking and real-world testing.

The goal of our study was to explore the association of the polymorphisms in the JAK/STAT pathway among Moroccan COVID-19 patients, using a case-control approach. Next-generation sequencing was employed to investigate the IFNAR1, IFNAR2, JAK1, TYK2, STAT2, and IRF9 genes within the JAK/STAT pathway. We also performed an in silico study to examine the rare variants in this pathway. Statistical analyses were conducted using MedCalc software. Protein 3D structures were determined via the I-TASSER server, with variant structures generated using PyMOL. YASARA View allowed local 3D analysis comparing native and variant structures for pathogenic rare variants. The study encompassed 206 COVID-19 patients, averaging 45.70 ± 12.73 years and a control group (N=118). Among the examined genes, 15 common polymorphisms and 7 rare variants were identified. Adjustment for age and gender revealed a significant association between TYK2 p.Gly363Ser (p=0.036) and COVID-19 infection, where the GA variant exhibited protective effects (0.6361 [0.3405-1.1884], p=0.035). Additionally, STAT2 p.Met594Ile showed an association to COVID-19 risk (p=0.042), with heterozygous GC being linked to infection (p=0.037, OR=2.7135 [0.5684 -12.9532]). Notably, IFNAR1 p.Val168Leu mutated C allele was significantly associated with reduced susceptibility to COVID-19 severity (p=0.028, OR=0.5936 [0.3725 - 0.9461]), under the additive model (p=0.045, OR=0.626 [0.3958 - 0.9899]). Rare variants IFNAR1 p.Trp318Cys, p.Ser476Phe, and IFNAR2 p.Cys271Tyr were predicted deleterious, impacting protein structure via hydrogen bond and hydrophobic interaction alterations. Burden analysis of rare variants revealed a protective cumulative effect against COVID-19 severity for TYK2 (p=0.0013, OR=0.1438 [0.04237 - 0.4803]) under the dominant model. This study underscores the role of genetic factors in COVID-19 susceptibility and advocates further explorations regarding functional impacts of JAK/STAT pathway rare variants.

On 12 June 2009, Morocco was the first country in North Africa to report a laboratory-confirmed case of influenza A(H1N1)2009 virus infection. This study describes the epidemiological and clinical characteristics of 240 laboratory-confirmed cases among 594 outpatients with influenza-like illness at the Mohammed V Military Teaching Hospital, Rabat, from 12 June to 24 December 2009. Real-time reverse transcription-PCR was used to confirm the infection. The epidemic peaked in weeks 47 to 49 (16 November to 6 December 2009). The mean age of cases was 23 years (standard deviation: 14 years). Cough was the most common symptom in 200 cases (83%), followed by fever (≥38 °C) in 195 (81%). Diarrhoea or vomiting was reported in 12 (5%) patients. None of the cases developed any complications and no deaths occurred during the study period. .