Publications by authors named "L Gomez Salinas"

Aim: To investigate the nucleotide sequences associated with transposable elements carrying bla allelic variants as potential markers for the transmission of antimicrobial resistance genes between domestic animals, humans and the environment.

Materials & Methods: We conducted whole-genome sequencing and analyzed the nucleotide sequences of most abundant bla allelic variants (bla, bla, and bla) in commensal Escherichia coli ( = 20) from household members in Quito and uropathogenic E. coli (UPEC) ( = 149) isolated from nine clinics in Quito, Ecuador.

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Background: Despite wide adoption in the healthcare of safety event report (SER) systems, there is a paucity of unified structures for prompt analysis and action while retaining reporter confidentiality. We used a synesis framework to change siloed reviews of safety reports to a comprehensive appraisal of quality, safety, productivity and reliability to facilitate interventions.

Methods: After a needs assessment survey, we launched serial plan-do-study-act cycles to (1) enhance teams' ability to access SERs, (2) facilitate regular multidisciplinary review of SERs to identify actionable opportunities, (3) allocate action priority using failure mode and effects analysis, and (4) launch actions and summarise data.

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Background: Friedreich ataxia (FA) is a rare inherited neuromuscular disorder whereby most patients die of lethal cardiomyopathy and arrhythmias. Mechanisms leading to arrhythmic events in patients with FA are poorly understood.

Objective: This study aimed to examine cardiac electrical signal propagation in a mouse model of FA with severe cardiomyopathy and to evaluate effects of omaveloxolone (OMAV), the first Food and Drug Administration-approved therapy.

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Background: A substantial portion of the genetic predisposition for breast cancer is explained by multiple common genetic variants of relatively small effect. A subset of these variants, which have been identified mostly in individuals of European and Asian ancestry, have been combined to construct a polygenic risk score (PRS) to predict breast cancer risk, but the prediction accuracy of existing PRSs in Hispanic/Latinx individuals (H/L) remain relatively low. We assessed the performance of several existing PRS panels with and without addition of H/L specific variants among self-reported H/L women.

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Article Synopsis
  • Metabolic control analysis (MCA) has evolved to study how cells manage metabolism by adjusting enzyme activity, now applied in a whole-cell context to understand growth-rate optimization through protein concentration.
  • The research shows that elementary flux modes (EFMs) are the most efficient metabolic networks, determined by protein-concentration constraints needed for maximizing growth.
  • Using data from S. cerevisiae and E. coli, the study illustrates how specific metabolic patterns emerge under different growth conditions, aiming to renew interest in MCA for uncovering universal biochemical principles across species.
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