Browsing by Author "Nemutlu, E."

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    Exometabolomic analysis of susceptible and multi-drug resistant Pseudomonas aeruginosa
    (2022) Kocak, E.; Nigiz, S.; Ozkan, E.; Kablan, S. Erdogan; Hazirolan, G.; Nemutlu, E.; Kir, S.; Sagiroglu, M.; Ozkul, C.; 35419823
    Multidrug resistant (MDR) Pseudomonas aeruginosa strains have recently become one of the major public health concerns worldwide leading to difficulties in selecting appropriate antibiotic treatment. Thus, it is important to elucidate the characteristics of MDR isolates. Herein, we aimed to determine the unique exometabolome profile of P. aeruginosa clinical isolates in monocultures that comprise high resistance to multiple antibiotics, and compare the differential metabolite profiles obtained from susceptible isolates by using GC/MS. Our results showed that partial least square-discriminant analysis (PLS-DA) score plot clearly discriminated the MDR and susceptible isolates indicating the altered exometabolite profiles, and highlighted the significantly enriched levels of trehalose and glutamic acid in MDR isolates. Expression of trehalose synthase (treS) was also 1 center dot 5-fold higher in MDR isolates, relatively to susceptible isolates. Overall, our study provides insights into the distinct footprints of MDR P. aeruginosa isolates in mono-culture.
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    Sensor-based MIP technologies for targeted metabolomics analysis
    (2022) Ozcelikay, G.; Kaya, S., I; Ozkan, E.; Cetinkaya, A.; Nemutlu, E.; Kir, S.; Ozkan, S.A.
    In recent years, metabolomics, identification and profiling of metabolites, have gained broad interest compared to other omics technologies and are progressively being utilized for biomarker discoveries. Therefore, the application of metabolomics in different fields are increasing day by day because of its high throughput results. However, the application of metabolomics requires state-of-the-art analytical approaches for the analysis. The complexity and limited availability of these instruments are restricting parameters for applying metabolomics studies in routine analysis. This problem may be overcome with molecularly imprinted polymer (MIP)-based electro sensors since they have high selectivity, sensitivity, easy applicability, portability, and low cost. This is the final step before developing end point-of-care tests (POCT), which patients can easily apply. MIP sensors will have more applications in the targeted metabolomics analysis to develop POCT systems. This review analyzes various metabolites using MIP-based electrochemical methods for their potential usage as POCT and biomarker research based on targeted metabolomics analysis requirements. The future applications for the sensitive assay of metabolites in medicine and clinical trials are also discussed. (C) 2021 Elsevier B.V. All rights reserved.