埃塞俄比亚亚的斯亚贝巴儿科患者携带和疾病中分离的肺炎链球菌的基因组特征

IF 4 2区 生物学 Q1 GENETICS & HEREDITY
Abel Abera Negash, Ana Ferreira, Daniel Asrat, Abraham Aseffa, Piet Cools, Leen Van Simaey, Mario Vaneechoutte, Stephen D Bentley, Stephanie W Lo
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引用次数: 0

摘要

背景和目的。尽管引入了肺炎球菌结合疫苗(PCVs),但肺炎链球菌仍然是发病和死亡的一个重要原因,特别是在撒哈拉以南非洲的5岁以下儿童中。我们试图确定在埃塞俄比亚引入PCV10后5-6年到卫生机构就诊的儿童中携带和患病的肺炎链球菌的血清型、谱系和抗菌素耐药性分布。在103s上进行全基因组测序(WGS)。从老年儿童中分离出肺炎(鼻咽拭子86例,血液4例,中耳分泌物13例)103 S。肺炎分离株被划分为38种血清型(包括不可分型)和46种不同的GPSCs。最常见的血清型为19A血清型。常见的GPSCs有GPSC1[14.6%(15/103),序列型(ST) 320,血清型19A], GPSC268 [8.7% (9/103)], ST 6882和新型STs;血清型16F、11A和35A]和GPSC10 [8.7% (9/103), STs 2013、230和8804;血清型19)。4株侵入性分离株为血清型19A (n=2)和血清型33C (n=2)。57%(59/103)的分离株预测青霉素耐药(>0.06µg ml-1, CLSI脑膜炎切断),43%(25/58)的分离株预测青霉素结合蛋白等位基因组合与青霉素耐药相关。66%(68/103)的分离株存在folA (I100L)和folP (indel在56 ~ 67 aa之间)耐药突变,46.6%(48/103)的分离株存在四环素(tetM)和大环内酯(ermB和mefA)耐药基因,20.4%(21/103)的分离株存在ermB和mefA耐药基因。31.1%(32/103)的菌株存在多药耐药(≥3种抗生素)。GPSC1和GPSC10分别占总mdr的46.8%(15/32)和18.7%(6/32)。在埃塞俄比亚引入PCV10 5至6年后,从儿童患者的携带和疾病中获得的肺炎链球菌显示出不同的血清型和肺炎球菌谱系。最常见的血清型是19A,由MDR谱系GPSC1和GPSC10表达,不包括在PCV10中,但包括在PCV13中。在PCV13引入期间和之后,有必要继续评估PCV对埃塞俄比亚肺炎链球菌种群结构的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genomic characterization of Streptococcus pneumoniae isolates obtained from carriage and disease among paediatric patients in Addis Ababa, Ethiopia.

Background and aims. Despite the introduction of pneumococcal conjugate vaccines (PCVs), Streptococcus pneumoniae still remains an important cause of morbidity and mortality, especially among children under 5 years in sub-Saharan Africa. We sought to determine the distribution of serotypes, lineages and antimicrobial resistance of S. pneumoniae from carriage and disease among children presenting to health facilities, 5-6 years after the introduction of PCV10 in Ethiopia.Methods. Whole-genome sequencing (WGS) was performed on 103 S. pneumoniae (86 from nasopharyngeal swabs, 4 from blood and 13 from middle ear discharge) isolated from children aged <15 years at 3 healthcare facilities in Addis Ababa, Ethiopia, from September 2016 to August 2017. Using the WGS data, serotypes were predicted, isolates were assigned to clonal complexes, global pneumococcal sequence clusters (GPSCs) were inferred and screening for alleles and mutations that confer resistance to antibiotics was performed using multiple bioinformatic pipelines.Results. The 103 S. pneumoniae isolates were assigned to 38 serotypes (including nontypeable) and 46 different GPSCs. The most common serotype was serotype 19A. Common GPSCs were GPSC1 [14.6% (15/103), sequence type (ST) 320, serotype 19A], GPSC268 [8.7% (9/103), ST 6882 and novel STs; serotypes 16F, 11A and 35A] and GPSC10 [8.7% (9/103), STs 2013, 230 and 8804; serotype 19A]. The four invasive isolates were serotype 19A (n=2) and serotype 33C (n=2). Resistance to penicillin (>0.06 µg ml-1, CLSI meningitis cutoff) was predicted in 57% (59/103) of the isolates, and 43% (25/58) penicillin-binding protein allele combinations were predicted to be associated with penicillin resistance. Resistance mutations in folA (I100L) and/or folP (indel between fifty-sixth and sixty-seventh aa) were identified among 66% (68/103) of the isolates, whilst tetracycline (tetM) and macrolide (ermB and mefA) resistance genes were found in 46.6% (48/103), 20.4% (21/103) and 20.4% (21/103) of the isolates, respectively. Multidrug resistance (MDR) (≥3 antibiotic classes) was observed in 31.1% (32/103) of the isolates. GPSC1 and GPSC10 accounted for 46.8% (15/32) and 18.7% (6/32) of the overall MDR.Conclusion. Five to 6 years after the introduction of PCV10 in Ethiopia, the S. pneumoniae obtained from carriage and disease among paediatric patients showed diverse serotype and pneumococcal lineages. The most common serotype identified was 19A, expressed by the MDR lineages GPSC1 and GPSC10, which is not covered by PCV10 but is included in PCV13. Continued assessment of the impact of PCV on the population structure of S. pneumoniae in Ethiopia is warranted during and after PCV13 introduction.

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来源期刊
Microbial Genomics
Microbial Genomics Medicine-Epidemiology
CiteScore
6.60
自引率
2.60%
发文量
153
审稿时长
12 weeks
期刊介绍: Microbial Genomics (MGen) is a fully open access, mandatory open data and peer-reviewed journal publishing high-profile original research on archaea, bacteria, microbial eukaryotes and viruses.
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