Antibiotic Resistance and Molecular Epidemiological Characteristics of Streptococcus agalactiae Isolated from Pregnant Women in Guangzhou, South China

Joint Authors

Cheng, Zhaomin
Qu, Pinghua
Ke, Peifeng
Yang, Xiaohan
Zhou, Qiang
Lan, Kai
He, Min
Cao, Nannan
Qin, Sheng
Huang, Xianzhang

Source

Canadian Journal of Infectious Diseases and Medical Microbiology

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-04-30

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Biology

Abstract EN

Streptococcus agalactiae colonization in pregnant women can cause postpartum intrauterine infections and life-threatening neonatal infections.

To formulate strategies for the prevention and treatment of S.

agalactiae infections, we performed a comprehensive analysis of antibiotic resistance and a molecular-based epidemiological investigation of S.

agalactiae in this study.

Seventy-two S.

agalactiae strains, collected from pregnant women, were subjected to antibiotic susceptibility tests; then, the screened erythromycin and clindamycin nonsusceptible isolates were used for macrolides and clindamycin resistance genes detection, respectively.

Detection of resistance genes, serotyping, and determination of virulence genes were performed by polymerase chain reaction.

The clonal relationships among the colonized strains were evaluated by multilocus sequence typing.

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) mass peak analysis was performed to discriminate the specific sequence types (STs).

In our study, 69.4% and 47.2% of the strains were nonsusceptible to erythromycin and clindamycin, respectively; the multidrug resistance rate was 66.7%.

All erythromycin nonsusceptible strains harbored resistance genes, whereas only 52.9% of the clindamycin nonsusceptible strains possessed the linB gene.

Erythromycin resistance was mainly mediated by the ermB or mefA/E genes.

Four serotypes were identified, and the most common serotype was serotype III (52.8%), followed by Ib (22.2%), Ia (18.0%), and II (4.2%).

All the strains were divided into 18 STs that were assigned to nine clonal complexes.

Most of the major STs were distributed into specific serotypes, including ST19/serotype III, ST17/serotype III, ST485/serotype Ia, ST862/serotype III, and ST651/serotype III.

Analysis of virulence genes yielded seven clusters, of which bca-cfb-scpB-lmb (61.6%) was the predominant virulence gene cluster.

Among all ST strains distributed in this region, only the ST17 strains had a mass peak at 7620 Da.

The outcomes of this study are beneficial for the epidemiological comparison of colonized S.

agalactiae in different regions and may be helpful for developing the strategies for the prevention of S.

agalactiae infection in Guangzhou.

Furthermore, our results show that MALDI-TOF MS can be used for the rapid identification of the ST17 strains.

American Psychological Association (APA)

Cheng, Zhaomin& Qu, Pinghua& Ke, Peifeng& Yang, Xiaohan& Zhou, Qiang& Lan, Kai…[et al.]. 2020. Antibiotic Resistance and Molecular Epidemiological Characteristics of Streptococcus agalactiae Isolated from Pregnant Women in Guangzhou, South China. Canadian Journal of Infectious Diseases and Medical Microbiology،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1139102

Modern Language Association (MLA)

Cheng, Zhaomin…[et al.]. Antibiotic Resistance and Molecular Epidemiological Characteristics of Streptococcus agalactiae Isolated from Pregnant Women in Guangzhou, South China. Canadian Journal of Infectious Diseases and Medical Microbiology No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1139102

American Medical Association (AMA)

Cheng, Zhaomin& Qu, Pinghua& Ke, Peifeng& Yang, Xiaohan& Zhou, Qiang& Lan, Kai…[et al.]. Antibiotic Resistance and Molecular Epidemiological Characteristics of Streptococcus agalactiae Isolated from Pregnant Women in Guangzhou, South China. Canadian Journal of Infectious Diseases and Medical Microbiology. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1139102

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1139102