Role of MBL2 Polymorphisms in Sepsis and Survival: A Pilot Study and In Silico Analysis.
Mohammed Y BehairyAli A AbdelrahmanHoda Y AbdallahEmad El-Deen A IbrahimHany R HashemAnwar A SayedMarwa M AzabPublished in: Diagnostics (Basel, Switzerland) (2022)
Sepsis is a serious infection-induced syndrome with serious ramifications, especially in intensive care units. Global concern motivated the investigation of the role of related genes' polymorphism in predicting the liability to infection, sepsis, septic shock and survival. Among these genes is the gene encoding mannose-binding lectin (MBL), with its remarkable importance in the immune system. However, the previous studies showed conflicting results and ambiguity that urged us to engage with this issue in the Egyptian population. Prediction of functional and structural impacts of single nucleotide polymorphisms (SNPs) was done using in silico methods. A prospective observational study was conducted in intensive care units; one hundred and thirty patients were followed up. Genotyping was performed using real-time polymerase chain reaction (RT-PCR) technology. MBL SNPs showed a remarkable high frequency in our population, as well. No significant association was found between MBL2 genotypes and any of our analyses (sepsis, septic shock and survival). Only septic shock and age were independently associated with time of survival by Cox regression analysis. Our study may confirm the redundancy of MBL and the absence of significant impact on sepsis liability and mortality in adult patients.
Keyphrases
- septic shock
- genome wide
- high frequency
- intensive care unit
- free survival
- end stage renal disease
- transcranial magnetic stimulation
- type diabetes
- ejection fraction
- newly diagnosed
- chronic kidney disease
- molecular docking
- oxidative stress
- cardiovascular events
- peritoneal dialysis
- coronary artery disease
- single cell
- case report
- mechanical ventilation
- genome wide identification
- patient reported outcomes
- diabetic rats
- transcription factor
- molecular dynamics simulations
- genome wide analysis