Prediction of anastomotic insufficiency based on the mucosal microbiome prior to colorectal surgery: a proof-of-principle study.
Konrad LehrUndine Gabriele LangeNoam Mathias HiplerRamiro Vilchez-VargasAlbrecht HoffmeisterJürgen FeisthammelDorina BuchlohDenny SchanzeMartin ZenkerInes GockelAlexander LinkBoris Jansen-WinkelnPublished in: Scientific reports (2024)
Anastomotic leakage (AL) is a potentially life-threatening complication following colorectal cancer (CRC) resection. In this study, we aimed to unravel longitudinal changes in microbial structure before, during, and after surgery and to determine if microbial alterations may be predictive for risk assessment between sufficient anastomotic healing (AS) and AL prior surgery. We analysed the microbiota of 134 colon mucosal biopsies with 16S rRNA V1-V2 gene sequencing. Samples were collected from three location sites before, during, and after surgery, and patients received antibiotics after the initial collection and during surgery. The microbial structure showed dynamic surgery-related changes at different time points. Overall bacterial diversity and the abundance of some genera such as Faecalibacterium or Alistipes decreased over time, while the genera Enterococcus and Escherichia_Shigella increased. The distribution of taxa between AS and AL revealed significant differences in the abundance of genera such as Prevotella, Faecalibacterium and Phocaeicola. In addition to Phocaeicola, Ruminococcus2 and Blautia showed significant differences in abundance between preoperative sample types. ROC analysis of the predictive value of these genera for AL revealed an AUC of 0.802 (p = 0.0013). In summary, microbial composition was associated with postoperative outcomes, and the abundance of certain genera may be predictive of postoperative complications.
Keyphrases
- microbial community
- minimally invasive
- antibiotic resistance genes
- coronary artery bypass
- risk assessment
- rectal cancer
- single cell
- end stage renal disease
- chronic kidney disease
- surgical site infection
- ejection fraction
- prognostic factors
- heavy metals
- genome wide
- type diabetes
- weight loss
- ulcerative colitis
- transcription factor
- cystic fibrosis
- coronary artery disease
- pseudomonas aeruginosa
- acute coronary syndrome
- percutaneous coronary intervention
- skeletal muscle
- adipose tissue
- patient reported outcomes
- ultrasound guided