A new paper release conducted by CCHE57357’s genomics  research team gives a better genetic understanding of Klebsiella pneumonia  (certain type of bacterial infection) which ultimately helps in reaching enhanced patients’ clinical outcomes.


Hospitalized patients in general and immuno-compromised ones in particular were found to suffer from bacterial infections among which the one causing inflammation (pneumonia) in the lungs, bloodstream, and urinary tract of the patient known as Klebsiella pneumonia.


Klebsiella bacteria is found to develop resistance to different types of antibiotics which increases the patient’s illness and suffering while increasing side effects from the use of multiple and more powerful medications. Moreover, the misuse of different types of antibiotics led to the emergence of resistant strains from Klebsiella pneumonia known for their multi-drug resistance to most of the proposed antibiotics. These multidrug-resistant strains are called “Super Bugs” as a referral of being hard to treat with normal methods and antibiotics and accordingly, burdening the hospital with extra treatment costs due to the longer stays at the hospital and increased length of treatment.


57357’s genomics unit research paper posted in the PLOS One journal with an impact factor 3.24 has revealed the genetic composition of such strains as the key answer to understanding the genetic mutation that takes place in such strains and the reasons for acquiring such resistivity. The findings of this paper may direct the clinician to use the second line of treatment including a suitable type of antibiotic based on his knowledge about the gene of such type of bacteria consequently enhancing clinical outcomes.


“Next Generation sequencing devices have paved the way to understand the resistance and the genetic composition of klebsiella bacteria”, shares Dr. Ahmed S.Abdelaziz, head of the genomics and epigenomics research program at CCHE57357.


Thanks to updated technology offered by the ” Next-generation sequencer’  along with bioinformatics and  high computational power available to the genomics lab at CCHE57357, the research team was able to produce the sequence of the bacterial genome and to decode the genetics of the bacteria and what made it acquire the resistance.