Evidence map›Paper›PMID 38355732›Full record

ArticleScientific reports2024

Automated sepsis detection with vancomycin- and allantoin-polydopamine magnetic nanoparticles.

Abdurhaman Teyib Abafogi, Jinyeop Lee, Joochan Kim, Sei Won Lee, Seongsoo Jang, Sungsu Park

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Immunoassay-mass spectrometry to identifyFrontiers in cellular and infection microbiology · 2025
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Abdurhaman Teyib AbafogiSchool of Mechanical Engineering, Sungkyunkwan University, Suwon, 16419, Korea.
Jinyeop LeeSchool of Mechanical Engineering, Sungkyunkwan University, Suwon, 16419, Korea.
Joochan KimSchool of Mechanical Engineering, Sungkyunkwan University, Suwon, 16419, Korea.
Sei Won LeeDepartment of Pulmonology and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Korea.
Seongsoo JangDepartment of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Korea.
Sungsu ParkSchool of Mechanical Engineering, Sungkyunkwan University, Suwon, 16419, Korea. nanopark@skku.edu.
Sungkyunkwan University · KRAsan Medical Center · KRGS Engineering (United States) · USUniversity of Ulsan · KR

Funding

National Research Council of Science and Technology CRC22021-200
6 · The paper itself

Abstract

Rapid and accurate identification of the bacteria responsible for sepsis is paramount for effective patient care. Molecular diagnostic methods, such as polymerase chain reaction (PCR), encounter challenges in sepsis due to inhibitory compounds in the blood, necessitating their removal for precise analysis. In this study we present an innovative approach that utilizes vancomycin (Van) and allantoin (Al)-conjugated polydopamine (PDA)-coated magnetic nanoparticles (MNPs) for the rapid and automated enrichment of bacteria and their DNA extraction from blood without inducing clumping and aggregation of blood. Al/Van-PDA-MNPs, facilitated by IMS, eliminate the need for preliminary sample treatments, providing a swift and efficient method for bacterial concentration and DNA extraction within an hour. Employing Al/Van-PDA-MNPs within an automated framework has markedly improved our ability to pre-concentrate various Gram-negative and Gram-positive bacteria directly from blood samples. This advancement has effectively reduced the detection threshold to 10

Indexed as

IndolesMagnetite NanoparticlesPolymersSepsisAllantoinBacteriaDNA, BacterialHumansVancomycinAllantoinDNA, BacterialIndolesMagnetite NanoparticlespolydopaminePolymersVancomycinAllantoinAutomationIMSMolecular diagnosticsPolydopamineSepsisVancomycin

Identifiers

PMID38355732
PMCPMC10867076
OpenAlexW4391814614

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.