Supplementary File 1: Multiplex PCR Test for Bacterial Pathogens in Cerebrospinal Fluid

A 1.3 MB document authored by Jianing Wu and last updated in April 2026 details a multiplex PCR assay for detecting three bacterial pathogens in cerebrospinal fluid. The method integrates a one-tube nested PCR with a point-of-care instrument, achieving detection limits as low as 5 copies/μL and reducing total testing time to approximately 2 hours. Clinical validation involved 109 samples, where the new method identified three additional positives compared to conventional PCR.

Use Cases

• Benchmarking new diagnostic assays based on the reported detection limits of 5-20 copies/μL for Streptococcus pneumoniae, agalactiae, and pyogenes.
• Designing automated 'sample-in, result-out' workflows based on the described integration of multiplex PCR with a point-of-care instrument.
• Analyzing clinical performance metrics based on the comparison of 109 clinical samples tested by the new method versus conventional real-time PCR.

Strengths

• Includes specific, quantified detection limits (5, 10, and 10 copies/μL for target plasmids) and time-to-result metrics (approximately 2 hours).
• Describes clinical validation using 109 samples, including 36 cerebrospinal fluid samples, with comparative results against a conventional method.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.
• The primary data file is a DOCX document, which may require parsing to extract structured information.

Provenance

Source

figshare, author Jianing Wu.

Collection Method

Methodological details from a study assessing a multiplex PCR assay using recombinant plasmids, simulated samples, and 109 clinical samples.

Time Range

The document's content does not specify a temporal coverage for the underlying data.

Freshness

Last updated 2026-04-14 05:38:53; freshness should be verified.

Geography

The document's content does not specify a geographic coverage for the underlying data.