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Host-Pathogen Interactions clinical trials

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NCT ID: NCT05981378 Not yet recruiting - Clinical trials for Host-Pathogen Interactions

Genomic Approaches to Dissect Human Host-pathogen Interactions in the Amazonian Rainforest

PATHO-NAT
Start date: August 2, 2024
Phase:
Study type: Observational

This observational study, aims to characterize with a multi-omic approach, the impact of host genetics and the pathogenic environment on immune response variation in Native Amazonians in comparison with Mestizo Amazonian, a severely underrepresented population in genomic studies. Various samples will be taken from the participants, including blood, urine, saliva, etc. From the blood sample, peripheral blood mononuclear cells will be obtained and will give us information about the differences between immune response variation of Amazonian population. From the other samples we will be able to obtain additional information on the risk factors related to the difference in the immune response of the participants.

NCT ID: NCT03093220 Recruiting - Genetic Disorder Clinical Trials

Molecular Typing of Community-acquired Pneumonia Based on Multiple-omic Data Analysis

Start date: March 2017
Phase: N/A
Study type: Observational

Community-acquired pneumonia (CAP) is a heterogeneous disease causing great morbidity, mortality and health care burden globally. Typing methods for discriminating different clinical conditions of the same disease are essential to a better management of CAP. Traditional typing systems based separately on clinical manifestations (such as PSI and CURB-65), pathogens(bacterial types, virulence, drug resistance, etc) or host immune state (immunocompetent, immunocompromised or immunodeficiency). Thus, they are barely able to represent the real disease status nor to precisely predict the mortality. As the development of multi-omic technologies, the relatedness of different phenotypes at a molecular level have revolutionized our ability to differentiate among patients. Our study is aimed at establishing a novel molecular typing method of CAP. Multi-omic (including genomics, transcriptomes, and metabolisms) data obtained from enrolled CAP patients and isolated pathogens would be integrated analyzed and interpreted. Tthe investigators believe that an appropriate molecular typing method would lead to revolutionary changes in current arrangements of CAP.