Evidence map›Paper›PMID 32719444›Full record

ArticleScientific reports2020

Rapid antibiotic susceptibility testing of bacteria from patients' blood via assaying bacterial metabolic response with surface-enhanced Raman spectroscopy.

Yin-Yi Han, Yi-Chun Lin, Wei-Chih Cheng, Yu-Tzu Lin, Lee-Jene Teng, Juen-Kai Wang, Yuh-Lin Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.3field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Antibiotic Susceptibility Testing with Raman Biosensing.Antibiotics (Basel, Switzerland) · 2022
    Review
  15. Article
  16. Article
  17. Review
  18. Rapid, Label-Free Prediction of Antibiotic Resistance inInternational journal of molecular sciences · 2022
    Article
  19. Review
  20. Microfluidic Systems for Antimicrobial Susceptibility Testing.Advances in biochemical engineering/biotechnology · 2022
    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

7 authors at 3 institutions in 1 country.

Yin-Yi HanDepartment of Anesthesia, National Taiwan University Hospital, Taipei, Taiwan. noviahan@gmail.com.
Yi-Chun LinInstitute of Atomic and Molecular Sciences, Academia Sinica, Taipei, Taiwan.
Wei-Chih ChengInstitute of Atomic and Molecular Sciences, Academia Sinica, Taipei, Taiwan.
Yu-Tzu LinDepartment of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University, Taipei, Taiwan.
Lee-Jene TengDepartment of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University, Taipei, Taiwan.
Juen-Kai WangInstitute of Atomic and Molecular Sciences, Academia Sinica, Taipei, Taiwan. jkwang@ntu.edu.tw.
Yuh-Lin WangInstitute of Atomic and Molecular Sciences, Academia Sinica, Taipei, Taiwan. ylwang@pub.iams.sinica.edu.tw.
Institute of Atomic and Molecular Sciences, Academia Sinica · TWNational Taiwan University · TWNational Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood stream infection is one of the major public health issues characterized with high cost and high mortality. Timely effective antibiotics usage to control infection is crucial for patients' survival. The standard microbiological diagnosis of infection however can last days. The delay in accurate antibiotic therapy would lead to not only poor clinical outcomes, but also to a rise in antibiotic resistance due to widespread use of empirical broad-spectrum antibiotics. An important measure to tackle this problem is fast determination of bacterial antibiotic susceptibility to optimize antibiotic treatment. We show that a protocol based on surface-enhanced Raman spectroscopy can obtain consistent antibiotic susceptibility test results from clinical blood-culture samples within four hours. The characteristic spectral signatures of the obtained spectra of Staphylococcus aureus and Escherichia coli-prototypic Gram-positive and Gram-negative bacteria-became prominent after an effective pretreatment procedure removed strong interferences from blood constituents. Using them as the biomarkers of bacterial metabolic responses to antibiotics, the protocol reported the susceptibility profiles of tested drugs against these two bacteria acquired from patients' blood with high specificity, sensitivity and speed.

Indexed as

Spectrum Analysis, RamanAnimalsAnti-Bacterial AgentsBacteriaBiomarkersEscherichia coliGoatsHumansMicrobial Sensitivity TestsROC CurveSignal Processing, Computer-AssistedStaphylococcus aureusAnti-Bacterial AgentsBiomarkers

Identifiers

PMID32719444
PMCPMC7385103
OpenAlexW3045241387

What OpenQuestion holds

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LicenceCC BY
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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.