Beyond Serology: A Meta-Analysis of Advancements in Molecular Detection of Brucella spp. in Seronegative Animals and Biological Samples

超越血清学:布鲁氏菌属血清阴性动物和生物样本分子检测进展的荟萃分析

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Abstract

BACKGROUND: Brucellosis is a zoonotic disease caused by Brucella spp., affecting various animals and humans, leading to significant economic and public health impacts. Traditional diagnostic methods, mainly serological, often fail to detect seronegative carriers, which continue to spread the infection. OBJECTIVE: This review aims to highlight advancements in molecular diagnostics that address these limitations. METHODS: A systematic search of PubMed, Web of Science and Scopus was conducted, focusing on studies using seronegative, PCR, qPCR and biosensor-based techniques. Data extraction and meta-analyses were performed, evaluating pooled detection rates and heterogeneity. RESULTS: Through analysis of existing studies, we review key molecular techniques, including PCR, LAMP and biosensor-based assays, which offer high sensitivity and specificity by detecting bacterial DNA directly, thus overcoming the challenges of antibody-based tests. Meta-analysis of detection rates across different studies showed significant variability, with rates ranging from 0.96% to 100%, highlighting differences in sample types, animal species and regions. The pooled detection proportion from random-effects models was 35.08%, indicating that many seronegative animals still carry Brucella spp. A forest plot analysis further confirmed heterogeneity in detection, underlining the importance of using molecular diagnostics alongside serological tests to identify hidden carriers. CONCLUSION: Innovations like nanoparticle-enhanced biosensors and CRISPR-Cas systems show promise for rapid, on-site diagnostics. The findings suggest that integrating molecular methods with traditional serology can improve surveillance and disease management. Future research should focus on developing portable, field-ready diagnostic devices and standardised protocols, along with exploring novel biomarkers to detect latent infections. A collaborative One Health approach, involving veterinary, public health and environmental sectors, is essential for comprehensive disease control and eradication efforts.

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