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Antibiotics Resistance Gene in Healthcare Workers

Characterizing the Differences in Gut Microbiome Antibiotics Resistance Gene Between Healthcare Workers and the Healthy Population

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06228248
Acronym
ARGH
Enrollment
250
Registered
2024-01-29
Start date
2024-01-18
Completion date
2024-11-10
Last updated
2025-02-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Multidrug Resistant Bacterial Infection

Brief summary

Multidrug resistant bacteria (MDR) pose a threat to the safety of patients worldwide. Drug resistant bacteria are commonly present in hospital environments and can cause infections, often leading to outbreaks within hospitals. Cross transmission through medical staff has been proven to be a significant cause of MDR bacterial transmission in hospitals. Although some studies have shown that the detection of gut drug-resistant bacteria in healthcare workers is similar to that in healthy individuals, these studies are limited to small sample sizes and detection methods. Here, the investigator characterize the differences between ARG colonization among healthcare workers and healthy populations through deep metagenomics.

Detailed description

Understanding the antibiotic resistant genes in the intestinal microbiome of medical workers can reveal their exposure history to antibiotics and the status of antibiotic resistance. The gut microbiome of medical staff may be one of the important sources of MDR transmission. The contact between medical staff and patients is one of the main ways of MDR transmission in hospitals. Understanding the types and distribution of antibiotic resistant genes of gut microbiome of medical workers can assess the risk of MDR transmission in the hospital, help to assess them as the potential source of MDR transmission, and then take targeted prevention and control measures. In order to better understand the role of medical staff in the transmission of MDR, it is necessary to conduct research on larger sample size and more sensitive detection methods. Metagenomics studies the genomes of all microorganisms in the microbial ecological community. It constructs a metagenomic library by directly extracting the DNA or RNA of all microorganisms from environmental samples, studies the species composition and functional composition of the community, the interaction of different microorganisms in the same population, and the interaction between microbial communities and hosts, and makes a comparative analysis of samples with different phenotypes. With the characteristics of high data flux, low cost and fast speed, it has become a powerful tool for the study of gut microbe. To sum up, MDR poses a serious threat to global security. In order to deal with this problem, more in-depth and comprehensive research is needed to understand the transmission route of MDR in the hospital. The investigator evaluated the difference between the gut microbe antibiotic resistant genes abundance of medical workers, especially medical workers in the ICU, and healthy people through in-depth sequencing, which helps to provide information on the potential role of medical staff in the transmission of MDR, and is essential for formulating effective prevention and control strategies.

Interventions

Feces used for metagenomic testing

Sponsors

First Affiliated Hospital of Zhejiang University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

For medical workers: Inclusion Criteria: 1. Age greater than 18 years old 2. The subjects fully understand and sign the informed consent form

Exclusion criteria

1. Existence of gastrointestinal diseases, malignant tumors, and psychiatric disorders 2. Have taken broad-spectrum antibiotics within 6 months 3. Pregnant women For healthy control: Inclusion Criteria: 1. Age greater than 18 years old 2. The subjects fully understand and sign the informed consent form

Design outcomes

Primary

MeasureTime frameDescription
Differences in GUT ARG abundance between two groups1 yearAfter conducting metagenomic testing, the investigator will analyze the raw data according to the preset protocol process and report the gut ARG abundance of different individuals. Subsequently, the difference in ARG abundance between the two groups of patients will be compared.

Secondary

MeasureTime frameDescription
The association of occupational exposure time in the ICU environment and ARG1 yearAfter conducting metagenomic testing, the investigator will analyze the raw data according to the preset protocol process and report the gut ARG abundance of different individuals. Subsequently, the investigator will assess the correlation between occupational exposure time in the ICU environment and ARGs abundance of two groups.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 5, 2026