2 results match your criteria: "Jieyang Affiliated Hospital of Sun Yat-sen University[Affiliation]"
Genetic Arg-304-His substitution in GRK5 protects against sepsis progression by alleviating NF-κB-mediated inflammation.
Int Immunopharmacol
February 2023
Jieyang Medical Research Center, Jieyang People's Hospital, Jieyang Affiliated Hospital of Sun Yat-sen University, Jieyang, Guangdong, PR China. Electronic address:
Article Synopsis
- The study investigates the role of genetic variants in the GRK5 gene related to inflammation in sepsis, analyzing data from over 1,000 septic patients compared to 1,147 controls to identify specific polymorphisms.
- Results highlighted that the rs2230349 G > A variant is associated with differences in sepsis severity and outcomes, showing that carriers of the A allele had lower pro-inflammatory cytokine production.
- Experimental models revealed that a mutation in GRK5 significantly reduced inflammation in immune cells, indicating its potential as a target for therapeutic strategies in managing sepsis.
Development and Validation of a Novel Risk Prediction Model Using Recursive Feature Elimination Algorithm for Acute-on-Chronic Liver Failure in Chronic Hepatitis B Patients With Severe Acute Exacerbation.
Front Med (Lausanne)
November 2021
TheDepartment of Infectious Disease, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Patients with chronic hepatitis B (CHB) with severe acute exacerbation (SAE) are at a progression stage of acute-on-chronic liver failure (ACLF) but uniform models for predicting ACLF occurrence are lacking. We aimed to present a risk prediction model to early identify the patients at a high risk of ACLF and predict the survival of the patient. We selected the best variable combination using a novel recursive feature elimination algorithm to develop and validate a classification regression model and also an online application on a cloud server from the training cohort with a total of 342 patients with CHB with SAE and two external cohorts with a sample size of 96 and 65 patients, respectively.
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