Next-generation sequencing of 16S rRNA for identification of invasive bacterial pathogens in a formalin-fixed paraffin-embedded placental specimen: a case report of perinatal fulminant Streptococcus pyogenes infection.
Tasuku MariyaToyotaka SatoYuya FujibeManami IshidoHiroshi ShimadaTerufumi KuboYoko NagaiWataru AraiSuguru E TanakaKyota AshikawaYoshiyuki SakurabaShinichi IshiokaShin-Ichi YokotaTsuyoshi SaitoPublished in: Medical molecular morphology (2021)
Intrauterine infection is one of the most important causes of maternal death. In perinatal emergency, we often miss an opportunity to obtain culture specimens. In this study, we tried to examine whether we investigated whether bacteria causing infection can be detected from a formalin-fixed paraffin-embedded (FFPE) placental specimen. We examined the placenta from a maternal invasive infection that resulted in infectious abortion at 18 weeks of gestation. The case was diagnosed by acute fever and abdominal pain, and the patient was cured after 3 weeks of intensive antimicrobial treatment. Four Streptococcus pyogenes strains were isolated from vaginal fluid and blood cultures of the patient. All of the strain types were emm1/ST28. We amplified the V1-V2 region of 16S rRNA from an FFPE placental specimen and sequencing was performed using a next-generation sequencer (NGS). Taxonomic analysis was then performed for sequenced data. We succeeded in detecting causative pathogens from the FFPE placenta: 69.1% of the predominantly identified bacteria were S. pyogenes and other small populations of bacteria were detected. Our results revealed the utility of NGS for 16S rRNA analysis of an FFPE placenta. This method may reveal previous perinatal invasive infections of unknown origin retrospectively.
Keyphrases
- pregnant women
- liver failure
- case report
- abdominal pain
- single cell
- healthcare
- emergency department
- preterm infants
- public health
- candida albicans
- biofilm formation
- copy number
- gestational age
- gram negative
- hepatitis b virus
- body mass index
- physical activity
- pseudomonas aeruginosa
- big data
- high resolution
- drug induced
- weight loss
- intensive care unit
- atomic force microscopy
- acute respiratory distress syndrome
- cystic fibrosis
- replacement therapy
- circulating tumor