Evidence map›Paper›PMID 40634460›Full record

ArticleScientific reports2025

Simple dual filter workflow for facilitating blood culture-free and sensitive detection of pathogenic bacteria from blood.

Dong Jin M Park, Tianqi Wu, Liben Chen, Pei-Wei Lee, Kuangwen Hsieh, Tza-Huei Wang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dong Jin M ParkDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Tianqi WuDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Liben ChenDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Pei-Wei LeeDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Kuangwen HsiehDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Tza-Huei WangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA. thwang@jhu.edu.

Funding

Development of In Vitro Diagnostics for Biodefense, Antimicrobial Resistant Infections(AMR), and Emerging Infectious Diseases75N93024C00051 · NIAID · GE MEDICAL SYSTEMS INFORMATION TECHNOLOGIES, INC · PI LENIGK, RALF · 2024 to 2024
$4.2M
Single-cell based diagnostic platform with single-molecular transcriptional response profiling for rapid phenotypic antimicrobial susceptibility testing of gonorrheaR01AI181217 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Tza-Huei Jeff Wang, SAMUEL YANG · 2024 to 2026
$2.3M
Integrated genotype-informed single-cell molecular antibacterial susceptibility testing platform for rapid and actionable diagnosis of bacteremiaR01AI183336 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Tza-Huei Jeff Wang · 2024 to 2026
$2.1M
NIAID NIH HHS 75N93024C00051NIAID NIH HHS R01 AI181217NIAID NIH HHS R01 AI183336NIH HHS R01AI183336
6 · The paper itself

Abstract

Bloodstream infections (BSI) caused by pathogenic bacteria are a global health threat, highlighting the need for improved diagnostic methods. Current methods, such as mass spectrometry, depend on time-consuming blood cultures, which hinder timely diagnosis. Nucleic acid amplification tests (NAATs) offer potential for sensitive bacteria detection but are bottlenecked by the inability to isolate bacteria at low concentrations from blood. This study introduces a facile dual filter workflow for isolating low concentrations of bacteria from blood without blood culture. The workflow, which involves blood dilution and osmolysis, blood cell filtration, chemical and enzymatic lysis, and filter-based bacteria capture, can be completed in ~ 30 min without special equipment. It readily combines with downstream broad-based bacteria detection via PCR and high-resolution melt (HRM), as well as pheno-molecular antimicrobial susceptibility testing (AST) via PCR. When coupled with species-specific PCR, ~ 10 CFU of bacteria in 0.5 mL of blood could be detected. The small sample volume is particularly attractive because it is comparable to those obtained from fingerstick collections or pediatric patients. With further optimization, testing with a wider range of bacteria, and integration with rapid point-of-care testing, this simple dual filter workflow can be a key driver for advancing blood culture-free bacterial BSI diagnosis, especially in resource-limited settings.

Indexed as

BacteremiaBacteriaFiltrationBlood CultureDNA, BacterialHumansNucleic Acid Amplification TechniquesPolymerase Chain ReactionSensitivity and SpecificityWorkflowDNA, BacterialBlood culture-freeBlood processingBloodstream infectionsRapid diagnosisResource-limited settingsSensitivity

Identifiers

PMID40634460
PMCPMC12241630

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.