Interleukin-10: Genetic association and biochemical prediction of sepsis-induced AKI in ICU critically ill patients: A cross-sectional study

• Published in: Journal of the Chinese Medical Association
• Main Authors: Amin, Amr A, Ghonaim, Aseel M, Al-Amodi, Hiba S, Mukhtar, Mohammed H, Allam, Reem M, Dannoun, Anas, Eldein, Mohamed N, Bogari, Neda M
• Format: Journal Article
• Language: English
• Published: Netherlands 13.09.2024
• ISSN: 1726-4901; 1728-7731; 1728-7731; 1726-4901
• DOI: 10.1097/JCMA.0000000000001165

Sepsis is a potentially life-threatening condition that eventually causes multi-organ dysfunction in critically ill patients. Acute kidney injury (AKI) is a widespread and severe threatening complication of sepsis, a condition termed sepsis-induced AKI (S-AKI), with poor clinical outcomes and high mortality rates. Inflammatory and immunological responses are important variables in S-AKI. This study aimed to examine the relationship of rs1518111 polymorphism in the interleukin-10 ( IL-10 ) gene and serum/urine IL-10 levels with sepsis-induced AKI in critically ill patients in the ICU. In this cross-sectional study, 310 critically ill adult patients were recruited, of whom, 197 developed S-AKI. Real-time PCR was performed to detect the rs1518111 polymorphism. Circulating blood and urine IL-10 levels of IL-10 were measured. For rs1518111 SNP, the presence of at least one T allele increased the risk of occurrence of S-AKI in critically ill patients with sepsis (OR: 1.34, 95% CI: 1.07-3.17; p ˂ 0.001), regardless of the type of infection and severity of sepsis. Blood and urine IL-10 levels were an excellent prediction of S-AKI (AUC: 0.881 and 0.953 and sensitivity: 90.2% and 97.6% at cutoff 133.5 and 5.67 pg/mL, respectively). Regression analysis showed that WBC count and increased blood and urine IL-10 levels, in addition to the presence of TT genotype, are independent risk factors for AKI. rs1518111 polymorphism in the IL-10 gene is a risk factor for sepsis-induced AKI in the ICU. Serum/urine IL-10 markers may be used as early predictors of S-AKI in critically ill patients with sepsis, thereby improving early management.