Evidence map›Paper›PMID 39529172›Full record

ArticleGenome medicine2024

KleTy: integrated typing scheme for core genome and plasmids reveals repeated emergence of multi-drug resistant epidemic lineages in Klebsiella worldwide.

Heng Li, Xiao Liu, Shengkai Li, Jie Rong, Shichang Xie, Yuan Gao, Ling Zhong, Quangui Jiang, Guilai Jiang, Yi Ren and 3 more

Abstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

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  9. Isolation of antibiotic-resistant strains ofJournal of advanced veterinary and animal research · 2025
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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

13 authors.

Heng Li *Key Laboratory of Alkene-Carbon Fibres-Based Technology & Application for Detection of Major Infectious Diseases, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Cancer Institute, Suzhou Medical College, Soochow University, Suzhou, 215123, China.
Xiao Liu *Key Laboratory of Alkene-Carbon Fibres-Based Technology & Application for Detection of Major Infectious Diseases, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Cancer Institute, Suzhou Medical College, Soochow University, Suzhou, 215123, China.
Shengkai Li *Key Laboratory of Alkene-Carbon Fibres-Based Technology & Application for Detection of Major Infectious Diseases, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Cancer Institute, Suzhou Medical College, Soochow University, Suzhou, 215123, China.
Jie Rong *Key Laboratory of Alkene-Carbon Fibres-Based Technology & Application for Detection of Major Infectious Diseases, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Cancer Institute, Suzhou Medical College, Soochow University, Suzhou, 215123, China.
Shichang XieKey Laboratory of Alkene-Carbon Fibres-Based Technology & Application for Detection of Major Infectious Diseases, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Cancer Institute, Suzhou Medical College, Soochow University, Suzhou, 215123, China.
Yuan GaoKey Laboratory of Alkene-Carbon Fibres-Based Technology & Application for Detection of Major Infectious Diseases, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Cancer Institute, Suzhou Medical College, Soochow University, Suzhou, 215123, China.
Ling ZhongKey Laboratory of Alkene-Carbon Fibres-Based Technology & Application for Detection of Major Infectious Diseases, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Cancer Institute, Suzhou Medical College, Soochow University, Suzhou, 215123, China.
Quangui JiangKey Laboratory of Alkene-Carbon Fibres-Based Technology & Application for Detection of Major Infectious Diseases, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Cancer Institute, Suzhou Medical College, Soochow University, Suzhou, 215123, China.
Guilai JiangKey Laboratory of Alkene-Carbon Fibres-Based Technology & Application for Detection of Major Infectious Diseases, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Cancer Institute, Suzhou Medical College, Soochow University, Suzhou, 215123, China.
Yi RenIotabiome Biotechnology Inc, Suzhou, 215000, China.
Wanping SunCollege of Pharmaceutical Sciences, Soochow University, Suzhou, 215123, China. sunwanping@suda.edu.cn.
Yuzhi HongMOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-Infective Medicine, Institute of Molecular Enzymology, School of Biology and Basic Medical Science, Suzhou Medical College, Soochow University, Suzhou, 215123, China. yzhong@suda.edu.cn.
Zhemin ZhouKey Laboratory of Alkene-Carbon Fibres-Based Technology & Application for Detection of Major Infectious Diseases, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Cancer Institute, Suzhou Medical College, Soochow University, Suzhou, 215123, China. zmzhou@suda.edu.cn.ORCID 0000-0001-9783-0366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinically important lineages in Klebsiella, especially those expressing multi-drug resistance (MDR), pose severe threats to public health worldwide. They arose from the co-evolution of the vertically inherited core genome and horizontal gene transfers by plasmids, which has not been systematically explored.

methodsWe designed KleTy, which consists of dedicated typing schemes for both the core genome and plasmids in Klebsiella. We compared the performance of KleTy with many state-of-the-art pipelines using both simulated and real data.

resultsEmploying KleTy, we genotyped 33,272 Klebsiella genomes, categorizing them into 1773 distinct populations and predicting the presence of 87,410 plasmids from 837 clusters (PCs). Notably, Klebsiella is the center of the plasmid-exchange network within Enterobacteriaceae. Our results associated the international emergence of prevalent Klebsiella populations with only four carbapenem-resistance (CR) PCs, two hypervirulent PCs, and two hvCR-PCs encoding both carbapenemase and hypervirulence. Furthermore, we observed the ongoing international emergence of bla

conclusionsThe study illuminates how the global genetic landscape of Klebsiella has been shaped by the co-evolution of both the core genome and the plasmids, underscoring the importance of surveillance and control of the dissemination of plasmids for curtailing the emergence of hvCRKPs.

Indexed as

Drug Resistance, Multiple, BacterialGenome, BacterialKlebsiellaPlasmidsAnti-Bacterial AgentsHumansKlebsiella InfectionsKlebsiella pneumoniaePhylogenyAnti-Bacterial AgentsDistributed cgMLSTHypervirulenceKlebsiella pneumoniaeMulti-drug resistancePlasmid

Identifiers

PMID39529172
PMCPMC11556198

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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.