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Table · dataset · 2026

Table 1_A framework of Microbial Genomic Database for clinical metagenomic pathogen diagnosis: development and multi-cohort evaluation.docx

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Introduction<p>Clinical metagenomic next-generation sequencing (mNGS) enables broad, untargeted pathogen detection, but its analytical performance depends on host depletion strategy, reference database composition, and alignment methodology.

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We developed the Clinical Microbial Genomic Database (CMGD), a clinically focused reference resource prioritizing medically relevant taxa.</p>Methods<p>CMGD was manually curated, clinically stratified, and included more than 18,000 microbial species.

We evaluated host-depletion references, alignment and classification strategies, six published clinical cohorts, and 30 retrospective mNGS-positive clinical samples.</p>Results<p>The combined GRCh38-T2T reference achieved the highest human-read depletion rate while minimizing microbial-read loss. CMGD provided broader target-species coverage than the standard Kraken2 database, and BWA-CMGD showed lower erroneous assignment rates overall, although Kraken2 yielded higher unique species-level assignment rates for many shared taxa.

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Across six published clinical cohorts, CMGD achieved 91.0% detection concordance with BLAST-NT and a strong read-count correlation (R<sup>2</sup> = 0.97). In 30 retrospective samples, CMGD and NT showed strong correlations for total mapped reads (R<sup>2</sup> = 0.99) and uniquely mapped reads (R<sup>2</sup> = 0.89), with concordance correlation coefficients of 0.99 and 0.92, respectively. High sequence-mapping accuracy did not ensure reliable species-level discrimination for highly homologous taxa such as Escherichia coli and Shigella flexneri.</p>Discussion<p>Clinically stratified database curation improves the analytical performance, computational efficiency, and interpretability of mNGS-based pathogen detection.

Species-complex-level reporting may be more appropriate when species-level discriminatory evidence is insufficient. Prospective multicenter validation is required to establish clinical diagnostic utility.</p>

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