Evolving Landscape of Emerging Virus Diagnosis: Challenges and Innovations.

IF 2.4 4区生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY

Molecular Biotechnology Pub Date : 2025-03-05 DOI:10.1007/s12033-025-01385-w

Anoop Kumar, Supriya Saini, Anupkumar Anvikar, Neelima Mishra, Gauri Misra

{"title":"Evolving Landscape of Emerging Virus Diagnosis: Challenges and Innovations.","authors":"Anoop Kumar, Supriya Saini, Anupkumar Anvikar, Neelima Mishra, Gauri Misra","doi":"10.1007/s12033-025-01385-w","DOIUrl":null,"url":null,"abstract":"<p><p>Emerging and re-emerging viruses (like Spanish flu, SARS-CoV-2, etc.) have substantially impacted global public health since the early twentieth century. These outbreaks are unpredictable and novel viruses are difficult to understand due to emerging variations. Advanced virology and diagnostic technologies have revolutionized viral diagnostics, enabling accurate early identification and successful treatment and containment. Next-generation sequencing (NGS) technologies, such as metagenomics and whole-genome sequencing, have played a crucial role in the detection and monitoring of emerging viruses, such as SARS-CoV-2 and its variants. Advanced diagnostic methods, such as digital PCR, CRISPR-based tools, and serological techniques like ELISA, enhance viral detection's sensitivity, specificity, and speed. Research has shown that innovations such as lateral flow immunoassays, biosensors, and aptamers have the potential to significantly enhance diagnostic accuracy in various fields. The integration of AI in diagnostics aids researchers in understanding viral evolution and outbreak management, offering new avenues for rapid response. This review aims to examine the latest advancements in virus diagnosis technologies, identify unresolved accuracy and detection issues, and discuss emerging ideas that are transforming the future of viral diagnostics. It is important to improve early identification, rendering the system more cost-effective and adaptable to new viral threats.</p>","PeriodicalId":18865,"journal":{"name":"Molecular Biotechnology","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Biotechnology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12033-025-01385-w","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Emerging and re-emerging viruses (like Spanish flu, SARS-CoV-2, etc.) have substantially impacted global public health since the early twentieth century. These outbreaks are unpredictable and novel viruses are difficult to understand due to emerging variations. Advanced virology and diagnostic technologies have revolutionized viral diagnostics, enabling accurate early identification and successful treatment and containment. Next-generation sequencing (NGS) technologies, such as metagenomics and whole-genome sequencing, have played a crucial role in the detection and monitoring of emerging viruses, such as SARS-CoV-2 and its variants. Advanced diagnostic methods, such as digital PCR, CRISPR-based tools, and serological techniques like ELISA, enhance viral detection's sensitivity, specificity, and speed. Research has shown that innovations such as lateral flow immunoassays, biosensors, and aptamers have the potential to significantly enhance diagnostic accuracy in various fields. The integration of AI in diagnostics aids researchers in understanding viral evolution and outbreak management, offering new avenues for rapid response. This review aims to examine the latest advancements in virus diagnosis technologies, identify unresolved accuracy and detection issues, and discuss emerging ideas that are transforming the future of viral diagnostics. It is important to improve early identification, rendering the system more cost-effective and adaptable to new viral threats.

查看原文本刊更多论文

新兴病毒诊断的发展前景：挑战和创新。

新出现和再出现的病毒（如西班牙流感、SARS-CoV-2等）自20世纪初以来对全球公共卫生产生了重大影响。这些暴发是不可预测的，由于新出现的变异，新病毒难以理解。先进的病毒学和诊断技术彻底改变了病毒诊断，使准确的早期识别、成功的治疗和遏制成为可能。元基因组学和全基因组测序等新一代测序技术在检测和监测新发病毒（如SARS-CoV-2及其变体）方面发挥了至关重要的作用。先进的诊断方法，如数字PCR、基于crispr的工具和血清学技术，如ELISA，提高了病毒检测的灵敏度、特异性和速度。研究表明，诸如侧流免疫测定、生物传感器和适体等创新技术有可能显著提高各个领域的诊断准确性。人工智能在诊断中的整合有助于研究人员了解病毒演变和疫情管理，为快速反应提供了新的途径。本综述旨在研究病毒诊断技术的最新进展，确定未解决的准确性和检测问题，并讨论正在改变病毒诊断未来的新兴思想。重要的是改进早期识别，使该系统更具成本效益并适应新的病毒威胁。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Molecular Biotechnology 医学-生化与分子生物学

CiteScore

4.10

自引率

3.80%

发文量

165

审稿时长

6 months

期刊介绍： Molecular Biotechnology publishes original research papers on the application of molecular biology to both basic and applied research in the field of biotechnology. Particular areas of interest include the following: stability and expression of cloned gene products, cell transformation, gene cloning systems and the production of recombinant proteins, protein purification and analysis, transgenic species, developmental biology, mutation analysis, the applications of DNA fingerprinting, RNA interference, and PCR technology, microarray technology, proteomics, mass spectrometry, bioinformatics, plant molecular biology, microbial genetics, gene probes and the diagnosis of disease, pharmaceutical and health care products, therapeutic agents, vaccines, gene targeting, gene therapy, stem cell technology and tissue engineering, antisense technology, protein engineering and enzyme technology, monoclonal antibodies, glycobiology and glycomics, and agricultural biotechnology.