Antibiotic resistance trends in high-risk lineages of Salmonella enterica serovar Typhi: A study spanning pre to post COVID-19 pandemic

IF 2.6 4区 医学 Q3 INFECTIOUS DISEASES
Urooj Afreen Abro , Shaista Bano , Sarfraz Ali Tunio , Shah Muhammad Abassi
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引用次数: 0

Abstract

Objectives

The aim of this study was to understand the status of extensively drug-resistance (XDR) genotype in Salmonella enterica serotype Typhi (S. Typhi) recovered during the pre to post COVID-19 pandemic period using Multiplex PCR.

Methods

A longitudinal descriptive study was carried out during five years. Antibiotic susceptibility testing was performed according to the Clinical Laboratory Standards Institute antimicrobial susceptibility testing guidelines. The identification of S. Typhi, the detection of their high-risk lineages and XDR genotype was done using single nucleotide polymorphism-based multiplex PCR.

Results

A total of four hundred nine (n = 409) S. Typhi isolates were recovered during pre to post COVID-19 pandemic period. Among them, 30.81% belonged to the pre COVID-19 period while 69.19% to the post COVID-19 period. Different trends in antibiotic resistance in S. Typhi isolates with high prevalence of XDR-S. Typhi were observed. However, there was comparatively different frequency of their occurrence among the S. Typhi isolates recovered during pre to post COVID-19 pandemic period. Multiplex PCR showed that the majority of S. Typhi isolates were the H58 haplotype or genotype 4.3.1 which contained XDR genotype.

Conclusions

The increasing episodes of XDR-S. Typhi causing typhoid fever in endemic areas is alarming. The antibiotic resistance in food and water borne pathogens greatly contribute to the dissemination of the antimicrobial resistance in pathogenic bacteria, which has now been considered as a global concern.

肠炎沙门氏菌伤寒杆菌高风险菌系的抗生素耐药性趋势:横跨 COVID-19 大流行之前和之后的研究。
研究目的本研究的目的是利用多重 PCR 技术了解 COVID-19 大流行前至大流行后回收的肠炎血清型伤寒沙门氏菌(伤寒沙门氏菌)中广泛耐药(XDR)基因型的状况:方法:开展了一项为期五年的纵向描述性研究。抗生素药敏试验是根据临床实验室标准协会和欧洲抗菌药物药敏试验委员会的指导方针进行的。使用基于单核苷酸多态性的多重 PCR 技术对伤寒杆菌进行鉴定,并检测其高风险品系和 XDR 基因型:结果:在COVID-19大流行之前至之后,共发现了49个(n = 409)伤寒杆菌分离株。其中,30.81%属于COVID-19之前,69.19%属于COVID-19之后。在伤寒杆菌分离物中观察到了不同的抗生素耐药性趋势,其中XDR-伤寒杆菌的流行率较高。然而,在COVID-19大流行前和大流行后回收的伤寒杆菌分离物中,它们的出现频率相对不同。多重 PCR 显示,大部分伤寒杆菌分离物为 H58 单倍型或基因型 4.3.1,其中包含 XDR 基因型:结论:在伤寒流行地区,XDR-伤寒杆菌引起伤寒的病例不断增加,令人担忧。食源性和水源性病原体的抗生素耐药性在很大程度上导致了病原菌中抗菌素耐药性的传播,这已成为全球关注的问题。
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来源期刊
Infection Genetics and Evolution
Infection Genetics and Evolution 医学-传染病学
CiteScore
8.40
自引率
0.00%
发文量
215
审稿时长
82 days
期刊介绍: (aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID) Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance. However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors. Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases. Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .
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