MBZUAI researchers developed a machine-learning method to predict antimicrobial resistance (AMR) by analyzing electronic health records. The system predicts if a patient will experience AMR when prescribed an antibiotic or if infected with a bacterium. Published in Scientific Reports, the innovation helps physicians identify patients at risk for AMR by using patient demographics, lab results, and physician notes. Why it matters: This approach can help combat the rise of drug-resistant bacteria by providing timely predictions and supporting more informed prescription decisions.
KAUST researchers have discovered that combining ultraviolet sunlight with phages increases the susceptibility of antibiotic-resistant bacteria to sunlight disinfection. This breakthrough addresses the growing threat of antimicrobial resistance, as the rate of discovering new antibiotics has slowed. The team demonstrated this method's effectiveness against a pathogenic E. coli strain found in Saudi wastewater. Why it matters: This research offers a promising alternative to traditional antibiotics, particularly relevant in regions like Singapore and the GCC where treated wastewater is a crucial water supply source.
KAUST's Computational Bioscience Research Center (CBRC) and King Abdulaziz City for Science and Technology (KACST) have collaborated on research into methicillin-resistant Staphylococcus aureus (MRSA) within Saudi Arabia, starting in July 2018. The two-year project aims to understand MRSA drug resistance mechanisms specific to the Kingdom and its regions, with the goal of developing public health strategies. The project involves sequencing samples and performing bioinformatics analysis to support a network of researchers in the country. Why it matters: This initiative enhances Saudi Arabia's capacity to predict, prevent, and control infectious diseases, aligning with national health objectives and building local expertise in computational bioscience.
A KAUST scientist led a global call for climate solutions, published simultaneously by 14 academic journals and released at COP29. The publication, prepared by 18 scientists, urges international governments to deploy microbial 'vaccines' against climate change. Six simple 'vaccine' examples are outlined, including carbon sequestration boosters and methane busters. Why it matters: This coordinated effort highlights the urgency of addressing climate change and KAUST's leading role in microbial solutions.
KAUST and the SFDA co-hosted the "Trends in Microbiome and Digital One Health" conference from October 30 to November 1, 2023, featuring 35 speakers from five continents. Discussions centered on microbiome science, digital tools for tracking microbial epidemiology, and their roles in the One Health concept. The conference facilitated the formation of a consortium for microbiome and Digital One Health research. Why it matters: This event highlights Saudi Arabia's growing focus on leveraging microbiome research and digital technologies to address public health challenges and promote international collaboration in the field.
The KAUST Pathogen Genomics Laboratory (PGL), led by Professor Arnab Pain, is using DNA and RNA sequencing to study the SARS-CoV-2 virus. The lab is part of KAUST's Rapid Research Response Team (R3T), supporting Saudi healthcare stakeholders in combating COVID-19. Pain and his Ph.D. student Sharif Hala are partnering with the Saudi-CDC and Ministry of Health hospitals to sequence Saudi SARS-CoV-2 samples. Why it matters: This effort provides crucial data for understanding and monitoring the virus's spread and evolution within the Kingdom, informing public health strategies.
KAUST researchers are analyzing the SARS-CoV-2 genome to identify potential targets for treatment and vaccine development. They are using the KAUST Metagenome Analysis Platform (KMAP) and the university's supercomputer to compare and analyze genomic data. The research focuses on identifying key genes for detection and treatment of COVID-19. Why it matters: This research contributes to the global effort to combat the pandemic and highlights KAUST's capabilities in genomic data analysis and computational bioscience.
KAUST researchers analyzed the genome of strain RS24, a bacterium isolated from the Red Sea. The bacterium, named Candidatus Micropelagos thuwalensis RS24, belongs to the PS1 clade within Alphaproteobacteria. Genome sequencing revealed that RS24 and IMCC14465, while similar, are distinct species of the PS1 clade, containing genomic islands. Why it matters: This study advances understanding of microbial adaptation to extreme marine environments like the Red Sea, providing insights into the structure-function relationships within microbial communities.