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Review | Open Access

Next-generation sequencing: Driving a paradigm shift from pathogen detection to systems-level analysis

Yu Penga,b,c,#Yupu Wangd,#Liwen Liua,b,cYanyue LiubYan YubRanran Suna,b,c( )Zujiang Yua,b,c( )
Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
State Key Laboratory of Antiviral Drugs, Pingyuan Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
Department of Rehabilitation, Henan Province Hospital of Traditional Chinese Medicine, Zhengzhou 450052, China

# These authors contributed equally to this work.

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Abstract

The advent of advanced molecular technologies, particularly the widespread use of next-generation sequencing (NGS), has revolutionized the life sciences research landscape. NGS, characterized by high throughput, specificity, and sensitivity, offers a superior alternative to traditional detection methods, particularly in the context of viral pandemics and emerging infectious diseases. It has proven indispensable not only in identifying novel therapeutic targets but also in monitoring viral resistance. This review provides a comprehensive analysis of NGS applications in infectious diseases and pathogenic microorganisms, with an emphasis on its role in rapid pathogen detection, accurate identification, interspecies transmission tracking, and resistance profiling. Through the integration of these insights, the review offers a forward-looking perspective on emerging trends and challenges, highlighting the transformative impact of these technologies on the understanding and management of infectious diseases.

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Cite this article:
Peng Y, Wang Y, Liu L, et al. Next-generation sequencing: Driving a paradigm shift from pathogen detection to systems-level analysis. Infectious Medicine, 2026, 5(2). https://doi.org/10.1016/j.imj.2026.100254

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Received: 14 January 2026
Revised: 05 March 2026
Accepted: 12 March 2026
Published: 01 June 2026
© 2026 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)