[Background] The oral microbiota changes have significant correlations with oral diseases and systemic diseases in pregnant women. [Objective] To compare the oral microbiota structure of females in different pregnancy states and explore the correlation between the structure difference and different pregnancy states. [Methods] Eighteen pregnant women and nine non-pregnant women were selected for the study and assigned into three groups (n=9):gestational diabetes mellitus (GDM, mean age of (28.9±3.6) years, mean pregnancy of (30.1±3.2) weeks), non-diabetic pregnant women (PW, mean age of (27.9±3.0) years, mean pregnancy of (28.6±4.7) weeks) and non-pregnant women (NPW, mean age of (27.7±2.1) years). Oral saliva (S) and supragingival dental plaque (D) samples were collected. The Illumina Novaseq platform was used to sequence the V3-V4 variable region of bacterial 16S rRNA. SILVA was used for the taxonomical annotation of the characteristic sequences, and QIIME was employed to perform the bioinformatics analysis. [Results] The D-GDM samples had higher detection rate of Capnocytophage and lower detection rate of Selenomonas than the D-PW samples. The S-GDM samples had higher detection rate of anaerobic bacteria such as Aeromonas and Bacteroides than the S-PW samples and lower detection rate of Veillonella than the S-PW samples. The D-PW samples had higher detection rates of Leptotrichia, Prevotella, and Selenomonas and lower detection rates of Aeromonas, Actinobacillus, Capnocytophage, Neisseria, Lautropia, and Streptococcus than the D-NPW samples. The S-PW samples had lower detection rate of Veillonella, Prevotella, Streptococcus, and Porphyromonas than the S-NPW samples. The D-GDM samples had high detection rate of Tannerella and Leptotrichia and lower detection rate of Roseburia than the D-NPW samples. The S-GDM samples had high detection rates of Treponema and Campylobacter and lower detection rate of Streptococcus than the S-NPW samples. At the species level, the S-GDM samples had higher detection rate of Fusobacterium nucleatum, similar detection rates of Porphyromonas gingivalis and Tannerella forsythia, and lower detection rate of Prevotella nigrescens than the S-PW samples. The S-PW samples had high detection rates of P. gingivalis, P. nigrescens, and T. forsythia than the S-NPW samples.[Conclusion] GDM will increase the detection rate of anaerobic bacteria in the oral cavity, and the correlations between GDM and periodontitis-causing bacteria such as P. gingivalis, T. forsythia, and P. nigrescens are uncertain.
RAN Lihua, FENG Yang, YANG Zhengyan, LI Yueheng, JIANG Dan. Differences in oral microbiota structure of females in different states of pregnancy[J]. Microbiology China, 2024, 51(1): 323-339
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