Evidence map›Paper›PMID 31420571›Full record

ArticleScientific reports2019

Pathophysiologic Characterization of a Novel Rabbit Model of Biliary Tract Infection-Derived Sepsis.

Liangshuo Hu, Yichao Chai, Rui Xi, Haoyang Zhu, Yue Wang, Fenggang Ren, Jing Zhang, Zhao Xue, Hongke Zhang, Rongqian Wu and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Liangshuo HuDepartment of Hepatobiliary Surgery, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Yichao ChaiNational Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Rui XiDepartment of Hepatobiliary Surgery, Central Hospital of Hanzhong, Hanzhong, 723000, Shaanxi, China.
Haoyang ZhuDepartment of Hepatobiliary Surgery, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Yue WangDepartment of Hepatobiliary Surgery, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Fenggang RenDepartment of Hepatobiliary Surgery, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Jing ZhangDepartment of Thyroid Breast Surgery, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China.
Zhao XueDepartment of Hepatobiliary Surgery, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Hongke ZhangNational Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Rongqian WuNational Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China. rwu001@mail.xjtu.edu.cn.
Yi LvDepartment of Hepatobiliary Surgery, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China. luyi169@126.com.ORCID http://orcid.org/0000-0003-3636-6664

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biliary tract infection (BTI)-derived sepsis remains a serious problem with significant morbidity and mortality in the modern era of critical care management. Current animal models of BTI have relied mostly on injecting purified bacteria or their toxins into the biliary tract. These models do not fully reflect pathophysiology or disease processes of clinical cholangitis or cholecystitis. In the current study, we developed a novel model of BTI by performing cholecystocolonic anastomosis (CCA) in rabbits and characterized pathophysiologic changes in this model. This model is intended to mimic the clinical process of cholecystocolonic fistula with reflux cholangitis, a severe form of BTI. Adult male rabbits were subjected to BTI-derived sepsis through an anastomosis of the gall bladder to the colon (i.e., CCA). The animals were monitored for 7 days to record survival. In additional groups of animals, various bacterial, hemodynamic, histological and biochemical parameters were measured at 12, 24, 48 and 72 h after CCA. The anastomosis between the gallbladder and the colon required about 5-8 min to finish. The median survival time for rabbits after CCA was 96 h. The positive rates of bacterial culture at 72 h after CCA were 83.3% and 100% in the blood and liver, respectively. The most common microorganism was Escherichia coli followed by Enterococcus. Plasma Tumor Necrosis Factor-α (TNF-α), Lnterleukin-10 (IL-10), Lnterleukin-6 (IL-6), and High-mobility group box 1 protein (HMGB-1) levels were greatly elevated after CCA. The cardiac index and heart rate increased slightly at 12 h after CCA and then continued to decrease. Systemic hypotension developed 48 h after CCA. Histological studies showed reflux cholangitis with acute lung and kidney injury. Cholecystocolonic anastomosis produces polymicrobial sepsis in rabbits, which mimics many aspects of human BTI-derived sepsis. It is reproducible and easy to perform and may serve as an excellent model for future sepsis research.

Indexed as

Disease Models, AnimalAnastomosis, SurgicalAnimalsBacteremiaBiomarkersCholangitisCholecystitisColonEnterococcusEscherichia coliGallbladderHMGB1 ProteinHumansInterleukin-10Interleukin-6KidneyBiomarkersHMGB1 ProteinInterleukin-10Interleukin-6Tumor Necrosis Factor-alpha

Identifiers

PMID31420571
PMCPMC6697724

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.