Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.
GBD 2019 Diseases and Injuries Collaborators
https://pubmed.ncbi.nlm.nih.gov/33069326Actively Recruiting
All Genders
ID06566898
Monitoring of Antimicrobial Resistance Based on Metagenomics Analyses in Pneumonia Patients: a Genomic Epidemiology Study
Led by Shanghai General Hospital, China · Updated on 2026-04-23
800
Participants Needed
1
Research Sites
24 weeks
Total Duration
On this page
Sponsors
S
Shanghai General Hospital, China
Lead Sponsor
W
Wuxi People's Hospital Affiliated to Nanjing Medical University
Collaborating Sponsor
AI-Summary
What this Trial Is About
Researchers are studying antimicrobial resistance (AMR) in patients with severe and mild pneumonia by analyzing their microbiomes using metagenomics. The study aims to understand the microbial communities present, the number of resistance genes carried by pathogens, and the genetic diversity of key pathogens from 2019 to 2025. This observational study collects data from multiple hospitals in China to improve pneumonia diagnosis and treatment strategies. Participants diagnosed with severe or mild pneumonia are identified based on established guidelines from the American Thoracic Society, Infectious Diseases Society of America, and British Thoracic Society. Clinical examination samples such as nasopharyngeal or oropharyngeal swabs, sputum, blood, lung tissue, and bronchoalveolar lavage fluid are collected. Advanced sequencing techniques, including next-generation sequencing on the Illumina Novaseq 6000 platform, are used to analyze the microbiome, viruses, bacteria, fungi, and antimicrobial resistance genes. Throughout the study period from 2019 to 2025, researchers analyze microbiome composition, alpha and beta diversity, and the presence of bacterial resistance genes. They use bioinformatics tools to filter and classify sequencing data, identify pathogens, and assess genetic diversity. Outcome measures focus on the microbiome's role in pneumonia, and findings will help characterize resistance patterns. The study runs until September 2026, with continuous recruitment and data collection.
CONDITIONS
Brief Title
Monitoring of Antimicrobial Resistance Based on Metagenomics Analyses in Pneumonia Patients
Who Can Participate
All Genders
Eligibility Criteria
You may qualify if you...
- Patients clinically diagnosed with severe or mild pneumonia according to ATS/IDSA 2019 guidelines for adults or BTS 2011 criteria for children
- Clinical examination performed with available biological samples such as nasopharyngeal swab, oropharyngeal swab, bronchoalveolar lavage fluid, sputum, blood, hydrothorax, or lung tissue
You will not qualify if you...
- Patients whose biological samples may be contaminated
- Patients with alveolar lavage fluid or hydrothorax volume less than 200 microliters
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
1
2
3
Your Study Journey
Screening
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Surveillance
Duration - Up to 6 years (2019 to 2025)
Participants diagnosed with severe or mild pneumonia are observed to monitor antimicrobial resistance and microbiome composition through analysis of biological samples collected during routine clinical care.
Biological samples collected as part of clinical care during the study period
Trial Site Locations
Total: 1 location
1
Mei Kang
Shanghai, Shanghai Municipality, China, 200080
Actively Recruiting
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Research Team
M
Mei Kang, MPH
X
Xue Tian, Master
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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Published Research Related To This Trial
Community-Acquired Pneumonia.
Thomas M File, Julio A Ramirez
https://pubmed.ncbi.nlm.nih.gov/37585629Improving the estimation of the global burden of antimicrobial resistant infections.
Direk Limmathurotsakul, Susanna Dunachie, Keiji Fukuda...
https://pubmed.ncbi.nlm.nih.gov/31427174Upper Respiratory Tract Co-detection of Human Endemic Coronaviruses and High-density Pneumococcus Associated With Increased Severity Among HIV-Uninfected Children Under 5 Years Old in the PERCH Study.
Daniel E Park, Melissa M Higdon, Christine Prosperi...
https://pubmed.ncbi.nlm.nih.gov/33883479Clinical metagenomics.
Charles Y Chiu, Steven A Miller
https://pubmed.ncbi.nlm.nih.gov/30918369High-Throughput Metagenomics for Identification of Pathogens in the Clinical Settings.
Na Li, Qingqing Cai, Qing Miao...
https://pubmed.ncbi.nlm.nih.gov/33614906Expanding the RNA Virosphere by Unbiased Metagenomics.
Yong-Zhen Zhang, Yan-Mei Chen, Wen Wang...
https://pubmed.ncbi.nlm.nih.gov/31100994A new coronavirus associated with human respiratory disease in China.
Fan Wu, Su Zhao, Bin Yu...
https://pubmed.ncbi.nlm.nih.gov/32015508Sequencing-based methods and resources to study antimicrobial resistance.
Manish Boolchandani, Alaric W D'Souza, Gautam Dantas
https://pubmed.ncbi.nlm.nih.gov/30886350Prediction of antibiotic resistance by gene expression profiles.
Shingo Suzuki, Takaaki Horinouchi, Chikara Furusawa
https://pubmed.ncbi.nlm.nih.gov/25517437