Evidence map›Paper›PMID 39422167›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Exploiting β-Lactams-Induced Lysis and DNA Fragmentation for Rapid Molecular Antimicrobial Susceptibility Testing of Neisseria Gonorrhoeae via Dual-Digital PCR.

Jiumei Hu, Liben Chen, Pengfei Zhang, Fan-En Chen, Hui Li, Kuangwen Hsieh, Sixuan Li, Johan H Melendez, Tza-Huei Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Jiumei HuDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.ORCID 0000-0001-9774-9090
Liben ChenDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Pengfei ZhangDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Fan-En ChenDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Hui LiDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Kuangwen HsiehDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Sixuan LiDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Johan H MelendezDivision of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Tza-Huei WangDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.ORCID 0000-0002-3540-9354

Funding

Technology development for point-of-care detection and antimicrobial susceptibility testing of Neisseria gonorrhoeaeR01AI138978 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF · 2018 to 2021
$5.1M
A "Culture" Shift: Integrated Bacterial Screening and Antibacterial Susceptibility Test on Microfluidic Digital Array for Bloodstream InfectionsR01AI137272 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF, YANG, SAMUEL · 2018 to 2022
$3.6M
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 R01 AI137272NIAID NIH HHS R01 AI138978NIAID NIH HHS R01 AI181217NIAID NIH HHS R01 AI183336NIH HHS R01AI137272NIH HHS R01AI138978NIH HHS R01AI181217NIH HHS R01AI183336
6 · The paper itself

Abstract

The evolution of antimicrobial resistance (AMR) presents substantial challenges to global medical health systems. Neisseria gonorrhoeae (N. gonorrhoeae), in particular, has developed resistance to all currently available antimicrobials. Addressing this issue necessitates not only discovering new antimicrobials but also deepening the understanding of bacterial responses to these agents, which can lead to new markers for rapid antimicrobial susceptibility testing (AST). Such advancements can enhance treatment outcomes and promote antimicrobial stewardship. In this study, single-cell techniques, including live-cell imaging, flow cytometry, and digital polymerase chain reaction (PCR) are utilized, to investigate the lysis dynamics and molecular features of N. gonorrhoeae upon exposure to β-lactam antimicrobials. Distinct patterns of bacterial lysis and DNA fragmentation are uncovered in susceptible strains. Leveraging these discoveries, a microfluidic dual-digital PCR approach that combines single-cell and single-molecule analyses, facilitate rapid and efficient phenotypic molecular AST for N. gonorrhoeae against β-lactams is developed. This proof-of-concept validation demonstrates the effectiveness of the method in accessing antimicrobial susceptibility across a range of bacterial strains, contributing valuable insights for advancing the battle against AMR.

Indexed as

beta-LactamsDNA FragmentationMicrobial Sensitivity TestsNeisseria gonorrhoeaePolymerase Chain ReactionAnti-Bacterial AgentsFlow CytometryGonorrheaHumansAnti-Bacterial Agentsbeta-Lactamsantimicrobial resistancebacterial lysisDNA fragmentationmicrofluidic dual‐digital PCRNesseria gonorrhoeae (N. gonorrheoae)

Identifiers

PMID39422167
PMCPMC11633544

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.