Study and Analysis of Acute Pancreatitis Complicated With COVID-19
Study and Analysis on the Characteristics of Intestinal Microorganisms and Serum Metabolites in Patients With Acute Pancreatitis Complicated With COVID-19
1 other identifier
observational
30
0 countries
N/A
Brief Summary
The goal of this observational study was to explore the complex relationship between changes in the intestinal microbiome and serum metabolites in patients with novel coronavirus infection and acute pancreatitis. The main questions it aims to answer are: Question 1: The changes of intestinal microbiota and serum metabolites in patients with novel coronavirus infection and acute pancreatitis. Question 2: The relationship between the changes in the intestinal microbiome and serum metabolites. Participants will be recruited according to certain criteria. The investigators plan to recruit 4 groups of 30 volunteers, 120 volunteers in total. It is divided into (a) AP patients without COVID-19 (normal group) (b) AP patients with COVID-19 (treatment group) (c) patients with COVID-19 infection (control group) (d) normal healthy people. The basic information of subjects, including age, sex, address, and enrollment time, was collected after enrollment. After completing the relevant preparations, start the experiment. First of all, the sample collection and detection. Blood samples were taken from 2-3ml of blood (biochemical tube) after admission or in the morning of the next day, centrifuged at 3000 rpm for 3 minutes, and stored at -80℃ within 1 hour after taking the serum; Fecal samples are stool samples retained after admission and before antibiotic use. Fecal samples need to be stored at -20℃ within one hour after collection and transferred to -80℃within 24 hours. After the retention of samples, the retained stool samples shall be tested for bacterial flora, and the blood samples shall be tested for serum metabolomics. After the test, the investigators will use the statistical software SPSS 22.0 for statistical analysis. At the same time, in order to determine the correlation between intestinal flora and clinical parameters, the investigators will use Permutation analysis of variance (PERMANOVA) to process the data.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Feb 2023
Shorter than P25 for all trials
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 29, 2023
CompletedFirst Posted
Study publicly available on registry
February 10, 2023
CompletedStudy Start
First participant enrolled
February 15, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 12, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
June 12, 2023
CompletedFebruary 14, 2023
February 1, 2023
4 months
January 29, 2023
February 13, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Changes of intestinal microflora abundance in feces
The relationship between the abundance of each common bacteria in the feces of patients in the experimental group and the change of the normal control group
through study completion, an average of 6 months
Changes of metabolic indexes in blood samples
The change relationship between the common laboratory metabolic blood indicators in the blood of patients in the experimental group and the normal control group
through study completion, an average of 6 months
Eligibility Criteria
The investigators plan to recruit 4 groups of 30 volunteers, 120 volunteers in total. It is divided into (a) AP patients without COVID-19 (normal group) (b) AP patients with COVID-19 (treatment group) (c) patients with COVID-19 (control group) (d) normal healthy people.
You may qualify if:
- voluntary enrollment and consent to retain biological samples for research, and signing the informed consent form;
- In recent 2 days, it was confirmed that COVID-19 with acute pancreatitis, and the diagnosis was clear. Among them, the diagnostic standard of acute pancreatitis is the International Consensus on Acute Pancreatitis, revised in Atlanta in 2012;
- Subjects did not receive treatment before enrollment
You may not qualify if:
- have received treatment before hospitalization;
- The patient has a malignant tumor, infectious disease or allergic disease;
- Combined with immune diseases or other acute and chronic inflammatory diseases;
- The patient was diagnosed with intestinal dysfunction recently;
- The patient has communication or cognitive impairment
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Yuansong Sunlead
- Anhui Medical Universitycollaborator
- Nanjing Universitycollaborator
Related Publications (13)
Portelli M, Jones CD. Severe acute pancreatitis: pathogenesis, diagnosis and surgical management. Hepatobiliary Pancreat Dis Int. 2017 Apr;16(2):155-159. doi: 10.1016/s1499-3872(16)60163-7.
PMID: 28381378BACKGROUNDSchietroma M, Pessia B, Carlei F, Mariani P, Sista F, Amicucci G. Intestinal permeability and systemic endotoxemia in patients with acute pancreatitis. Ann Ital Chir. 2016;87:138-44.
PMID: 27179282BACKGROUNDGao R, Wu C, Zhu Y, Kong C, Zhu Y, Gao Y, Zhang X, Yang R, Zhong H, Xiong X, Chen C, Xu Q, Qin H. Integrated Analysis of Colorectal Cancer Reveals Cross-Cohort Gut Microbial Signatures and Associated Serum Metabolites. Gastroenterology. 2022 Oct;163(4):1024-1037.e9. doi: 10.1053/j.gastro.2022.06.069. Epub 2022 Jul 1.
PMID: 35788345BACKGROUNDLi XY, He C, Zhu Y, Lu NH. Role of gut microbiota on intestinal barrier function in acute pancreatitis. World J Gastroenterol. 2020 May 14;26(18):2187-2193. doi: 10.3748/wjg.v26.i18.2187.
PMID: 32476785BACKGROUNDMajumder J, Minko T. Recent Developments on Therapeutic and Diagnostic Approaches for COVID-19. AAPS J. 2021 Jan 5;23(1):14. doi: 10.1208/s12248-020-00532-2.
PMID: 33400058BACKGROUNDChilamakuri R, Agarwal S. COVID-19: Characteristics and Therapeutics. Cells. 2021 Jan 21;10(2):206. doi: 10.3390/cells10020206.
PMID: 33494237BACKGROUNDYoshikawa T, Watanabe T, Kamata K, Hara A, Minaga K, Kudo M. Intestinal Dysbiosis and Autoimmune Pancreatitis. Front Immunol. 2021 Mar 23;12:621532. doi: 10.3389/fimmu.2021.621532. eCollection 2021.
PMID: 33833754BACKGROUNDWang Z, Li F, Liu J, Luo Y, Guo H, Yang Q, Xu C, Ma S, Chen H. Intestinal Microbiota - An Unmissable Bridge to Severe Acute Pancreatitis-Associated Acute Lung Injury. Front Immunol. 2022 Jun 14;13:913178. doi: 10.3389/fimmu.2022.913178. eCollection 2022.
PMID: 35774796BACKGROUNDZhu Y, Mei Q, Fu Y, Zeng Y. Alteration of gut microbiota in acute pancreatitis and associated therapeutic strategies. Biomed Pharmacother. 2021 Sep;141:111850. doi: 10.1016/j.biopha.2021.111850. Epub 2021 Jun 30.
PMID: 34214727BACKGROUNDYe S, Si C, Deng J, Chen X, Kong L, Zhou X, Wang W. Understanding the Effects of Metabolites on the Gut Microbiome and Severe Acute Pancreatitis. Biomed Res Int. 2021 Oct 19;2021:1516855. doi: 10.1155/2021/1516855. eCollection 2021.
PMID: 34712726BACKGROUNDHasan MR, Suleiman M, Perez-Lopez A. Metabolomics in the Diagnosis and Prognosis of COVID-19. Front Genet. 2021 Jul 23;12:721556. doi: 10.3389/fgene.2021.721556. eCollection 2021.
PMID: 34367265BACKGROUNDLiu R, Hong J, Xu X, Feng Q, Zhang D, Gu Y, Shi J, Zhao S, Liu W, Wang X, Xia H, Liu Z, Cui B, Liang P, Xi L, Jin J, Ying X, Wang X, Zhao X, Li W, Jia H, Lan Z, Li F, Wang R, Sun Y, Yang M, Shen Y, Jie Z, Li J, Chen X, Zhong H, Xie H, Zhang Y, Gu W, Deng X, Shen B, Xu X, Yang H, Xu G, Bi Y, Lai S, Wang J, Qi L, Madsen L, Wang J, Ning G, Kristiansen K, Wang W. Gut microbiome and serum metabolome alterations in obesity and after weight-loss intervention. Nat Med. 2017 Jul;23(7):859-868. doi: 10.1038/nm.4358. Epub 2017 Jun 19.
PMID: 28628112BACKGROUNDHan M, Huang Y, Gui H, Xiao Y, He M, Liu J, Cao X, Zheng M, Lu M, Jia W, Li H, Wang X, Zhang N, Kong SA, Liu X, Wu Y, Wu F, Huang S. Dynamic changes in host immune system and gut microbiota are associated with the production of SARS-CoV-2 antibodies. Gut. 2023 Oct;72(10):1996-1999. doi: 10.1136/gutjnl-2022-327561. Epub 2022 Oct 7. No abstract available.
PMID: 36207022BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- attending doctor
Study Record Dates
First Submitted
January 29, 2023
First Posted
February 10, 2023
Study Start
February 15, 2023
Primary Completion
June 12, 2023
Study Completion
June 12, 2023
Last Updated
February 14, 2023
Record last verified: 2023-02
Data Sharing
- IPD Sharing
- Will not share
There is no plan to make individual participant data (IPD) available to other researchers