Acute lung injury is a highly prevalent disease in children, posing a serious threat to their health and causing economic burden on society and families. It has received high attention. Blocking the cascade immune inflammatory response that occurs in the respiratory tract and finding key targets for the prevention and treatment of acute lung injury has become an important challenge faced by the medical community. The pathogenesis of acute lung injury is complex, involving the combined action of multiple cells and cytokines in the immune system. Therefore, it is necessary to further study the function of immune cells and specific immune pathogenesis, providing new ideas and theoretical basis for clinical treatment of acute lung injury. The omics technology includes Genomics, Transcriptome, proteomics, metabolomics, etc. Through qualitative and quantitative analysis of changes in low molecular weight molecules or metabolites of biological samples, it provides a new way to find biomarkers and pathogenesis. We plan to study the peripheral blood of children with acute lung injury and healthy children, and use network analysis to screen for differential genes and related enrichment pathways in acute lung injury. We aim to explore the correlation between immune regulation and inflammatory repair in children with acute lung injury, and analyze the regulatory mechanisms between immune cells related to it. Provide assistance for clinical diagnosis and treatment.
1. Inclusion criteria of the test group: (1) Meeting the specific diagnostic criteria for related lung diseases; (2) The factors of lung diseases were infection and sepsis; 2. Inclusion criteria of the control group: control 1: (1) Meeting the specific diagnostic criteria for related lung diseases; (2) The factors of lung diseases were non-infectious factors. Control 2: Healthy children 3. Exclusion criteria of the test group: (1) Patients with hemodynamic instability Patients with pulmonary hypertension;(2) Patients with congenital heart disease, congenital genetic metabolic disease, epilepsy, acute and chronic renal insufficiency, nephrotic syndrome, diabetes, et al. 4. The collection of clinical data includes: name, sex, age, hospitalization number, date of hospitalization, main diagnosis, course of disease, main examination and test results, medication, respiratory support, prognosis, etc. 5. Collect peripheral blood serum, sputum or alveolar lavage fluid samples for target sequencing.
Study Type
OBSERVATIONAL
Using omics techniques to detect blood samples from patients with acute lung injury and normal children, screen for marker genes related to immune cells in acute lung injury, and verify the protein expression of this molecule in tissues. Analyze the relationship between its phenotype and the degree of inflammation.
Degree of inflammation in acute lung injury through measure physiological parameter
The degree of inflammation includes changes in patient inflammatory indicators through measure physiological parameter.
Time frame: an average of 1week
Expression of differential genes and proteins through gene sequencing
Detect patient gene expression through gene sequencing and analyze differential genes.
Time frame: an average of 1week
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