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author:

Tang, Yijie (Tang, Yijie.) [1] | Xie, Xiyuan (Xie, Xiyuan.) [2] | Guo, Yu (Guo, Yu.) [3] | Chen, Yu (Chen, Yu.) [4] | Huang, Xinlei (Huang, Xinlei.) [5] | Dai, Dongsheng (Dai, Dongsheng.) [6] | Wu, Xiaodan (Wu, Xiaodan.) [7]

Indexed by:

SCIE

Abstract:

Background Postoperative nausea and vomiting (PONV) is a common complication following surgery. Despite various preventive measures, satisfactory outcomes have not been achieved. This study explores the potential of gut microbiota interactions with the host in understanding and preventing PONV, using 16S absolute quantitative sequencing technology to uncover new insights.Methods Patients who experienced nausea and vomiting within 24 h after surgery were divided into a PONV group (n = 22) and a non-PONV group (n = 22). Microbial communities linked to PONV were assessed through bioinformatics analysis. Fecal samples from both groups were transplanted into rats, which were then anesthetized with isoflurane for 100 min. Pica behavior was monitored over the next 24 h to assess nausea and vomiting in the rats.Results Significant differences in alpha- and beta-diversity were observed between the PONV and non-PONV groups. Six key microorganisms were identified, with Bifidobacterium, Bilophila, and Oscillibacter showing a negative correlation with PONV severity. Receiver operating characteristic (ROC) analysis demonstrated that Bifidobacterium could reliably predict PONV. Rats receiving feces from the PONV group exhibited significantly higher kaolin consumption within 24 h post-anesthesia compared to those receiving feces from the non-PONV group.Conclusion These results suggest a potential new mechanism for PONV involving gut microbiota, offering a theoretical basis for preoperative prediction of PONV based on gut microbial composition.

Keyword:

16S absolute quantitative sequencing Bifidobacterium gut microbiota postoperative nausea and vomiting prevention

Community:

  • [ 1 ] [Tang, Yijie]Fujian Med Univ, Fuzhou Univ, Fujian Prov Hosp, Affiliated Prov Hosp,Dept Anesthesiol,Shengli Clin, Fuzhou, Fujian, Peoples R China
  • [ 2 ] [Xie, Xiyuan]Fujian Med Univ, Fuzhou Univ, Fujian Prov Hosp, Affiliated Prov Hosp,Dept Anesthesiol,Shengli Clin, Fuzhou, Fujian, Peoples R China
  • [ 3 ] [Guo, Yu]Fujian Med Univ, Fuzhou Univ, Fujian Prov Hosp, Affiliated Prov Hosp,Dept Anesthesiol,Shengli Clin, Fuzhou, Fujian, Peoples R China
  • [ 4 ] [Chen, Yu]Fujian Med Univ, Fuzhou Univ, Fujian Prov Hosp, Affiliated Prov Hosp,Dept Anesthesiol,Shengli Clin, Fuzhou, Fujian, Peoples R China
  • [ 5 ] [Huang, Xinlei]Fujian Med Univ, Fuzhou Univ, Fujian Prov Hosp, Affiliated Prov Hosp,Dept Anesthesiol,Shengli Clin, Fuzhou, Fujian, Peoples R China
  • [ 6 ] [Dai, Dongsheng]Fujian Med Univ, Fuzhou Univ, Fujian Prov Hosp, Affiliated Prov Hosp,Dept Anesthesiol,Shengli Clin, Fuzhou, Fujian, Peoples R China
  • [ 7 ] [Wu, Xiaodan]Fujian Med Univ, Fuzhou Univ, Fujian Prov Hosp, Affiliated Prov Hosp,Dept Anesthesiol,Shengli Clin, Fuzhou, Fujian, Peoples R China

Reprint 's Address:

  • [Wu, Xiaodan]Fujian Med Univ, Fuzhou Univ, Fujian Prov Hosp, Affiliated Prov Hosp,Dept Anesthesiol,Shengli Clin, Fuzhou, Fujian, Peoples R China

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Source :

FRONTIERS IN MEDICINE

Year: 2025

Volume: 12

3 . 1 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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