Evidence map›Paper›PMID 37224551›Full record

ReviewJournal of food and drug analysis2023

Recent developments in detection and therapeutic approaches for antibiotic-resistant bacterial infections.

Kavya Moorthy, Kai-Chih Chang, Hsueh-Hui Yang, Wen-Min Su, Cheng-Kang Chiang, Zhiqin Yuan

Abstract readReview
In one paragraph

Review in Journal of food and drug analysis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Kavya MoorthyDepartment of Chemistry, National Dong Hwa University, Shoufeng, Hualien, 97401, Taiwan, ROC.
Kai-Chih ChangDepartment of Laboratory Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, 970, Taiwan, ROC.
Hsueh-Hui YangDepartment of Medical Research, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, 970, Taiwan, ROC.
Wen-Min SuDepartment of Life Science, National Dong Hwa University, Shoufeng, Hualien, 97401, Taiwan, ROC.
Cheng-Kang ChiangDepartment of Chemistry, National Dong Hwa University, Shoufeng, Hualien, 97401, Taiwan, ROC.
Zhiqin YuanState Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing University of Chemical Technology, Beijing, 100029, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to the widespread emergence and proliferation of antibiotic-resistant bacteria, the therapeutic benefits of antibiotics have been reduced. In addition, the ongoing evolution of multidrug-resistant pathogens poses a challenge for the scientific community to develop sensitive analytical methods and innovative antimicrobial agents for the detection and treatment of drug-resistant bacterial infections. In this review, we have described the antibiotic resistance mechanisms that occur in bacteria and summarized the recent developments in detection strategies for monitoring drug resistance using different diagnostic methods in three aspects, including electrostatic attraction, chemical reaction, and probe-free analysis. Additionally, to understand the effective inhibition of drug-resistant bacterial growth by recent nano-antibiotics, the underlying antimicrobial mechanisms and efficacy of biogenic silver nanoparticles and antimicrobial peptides, which have shown promise, and the rationale, design, and potential improvements to these methods are also highlighted in this review. Finally, the primary challenges and future trends in the rational design of facile sensing platforms and novel antibacterial agents against superbugs are discussed.

Indexed as

Metal NanoparticlesAnti-Bacterial AgentsBacteriaSilverAnti-Bacterial AgentsSilver

Identifiers

PMID37224551
PMCPMC10208662

What OpenQuestion holds

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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.