Metagenomic-driven predictive biosafety and contamination traceability in stem cell manufacturing: Translating outbreak genomics into regenerative medicine

Stem cell manufacturing and regenerative medicine laboratories are highly vulnerable to microbial contamination due to complex processing workflows, extensive manipulation, prolonged culture conditions, and continuous environmental exposure. Conventional microbiological methods remain fundamental for laboratory quality control; however, they may underestimate concealed resistance determinants, microbial diversity, contamination pathways, and transmission dynamics. Recent advances in metagenomic sequencing have transformed outbreak investigation, resistome characterization, and genomic surveillance, providing unprecedented opportunities for contamination monitoring and biosafety management. This review proposes a translational biosafety framework that integrates metagenomic surveillance with contamination traceability systems in stem cell manufacturing and regenerative medicine laboratory environments. The review discusses contamination challenges, limitations of conventional microbiological diagnostics, metagenomic surveillance approaches, predictive biosafety concepts, genomic traceability systems, corrective and preventive action (CAPA) integration, and future artificial intelligence (AI)-assisted monitoring strategies. Lessons from sequencing-based outbreak investigations involving multidrug-resistant microorganisms highlight the potential utility of metagenomic surveillance for early detection of contamination, microbial source attribution, resistome characterization, environmental monitoring, and contamination traceability. Integrating sequencing-guided diagnostics with laboratory traceability systems and CAPA-based quality management may shift biosafety practices from reactive contamination control toward proactive predictive biosurveillance. The proposed framework may strengthen contamination prevention, improve manufacturing reproducibility, support regulatory compliance, and enhance the reliability of stem cell processing and regenerative medicine applications. Future studies are needed to standardize sequencing-guided biosafety workflows and evaluate their implementation in academic, research, and clinical-grade stem cell manufacturing laboratories.

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Publication Details

Journal
Regenerative Therapy
Published
2026-09-11
DOI
https://doi.org/10.1016/j.reth.2026.101170
Primary Topic
Bacillus and Francisella bacterial research
Type
article
Field-Weighted Citation Impact
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article

Metagenomic-driven predictive biosafety and contamination traceability in stem cell manufacturing: Translating outbreak genomics into regenerative medicine

Marwa M. Elmaghrabi, Syeda N. Kulsum, Alaa K. ElKharashy, Mohamed M. Mahmoud et al.
Regenerative Therapy
Bacillus and Francisella bacterial research
article

Metagenomic-driven predictive biosafety and contamination traceability in stem cell manufacturing: Translating outbreak genomics into regenerative medicine

Marwa M. Elmaghrabi, Syeda N. Kulsum, Alaa K. ElKharashy, Mohamed M. Mahmoud, Saleh A. Alghofaili
article en

Abstract

Stem cell manufacturing and regenerative medicine laboratories are highly vulnerable to microbial contamination due to complex processing workflows, extensive manipulation, prolonged culture conditions, and continuous environmental exposure. Conventional microbiological methods remain fundamental for laboratory quality control; however, they may underestimate concealed resistance determinants, microbial diversity, contamination pathways, and transmission dynamics. Recent advances in metagenomic sequencing have transformed outbreak investigation, resistome characterization, and genomic surveillance, providing unprecedented opportunities for contamination monitoring and biosafety management. This review proposes a translational biosafety framework that integrates metagenomic surveillance with contamination traceability systems in stem cell manufacturing and regenerative medicine laboratory environments. The review discusses contamination challenges, limitations of conventional microbiological diagnostics, metagenomic surveillance approaches, predictive biosafety concepts, genomic traceability systems, corrective and preventive action (CAPA) integration, and future artificial intelligence (AI)-assisted monitoring strategies. Lessons from sequencing-based outbreak investigations involving multidrug-resistant microorganisms highlight the potential utility of metagenomic surveillance for early detection of contamination, microbial source attribution, resistome characterization, environmental monitoring, and contamination traceability. Integrating sequencing-guided diagnostics with laboratory traceability systems and CAPA-based quality management may shift biosafety practices from reactive contamination control toward proactive predictive biosurveillance. The proposed framework may strengthen contamination prevention, improve manufacturing reproducibility, support regulatory compliance, and enhance the reliability of stem cell processing and regenerative medicine applications. Future studies are needed to standardize sequencing-guided biosafety workflows and evaluate their implementation in academic, research, and clinical-grade stem cell manufacturing laboratories.

Regenerative TherapyVol. 33
Qassim University (SA), Majmaah University (SA), King Saud Medical City (SA), King Saud University (SA), South African Association of Women Graduates (ZA), Alexandria University (EG)
Openalex Percentile: Top 18%
Bacillus and Francisella bacterial research
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