Publications by authors named "Miriam R Garcia"

Article Synopsis
  • Adaptive laboratory evolution experiments risk losing valuable data if there's any interruption in monitoring, highlighting the need for more robust control systems than typical homemade mini-bioreactors.
  • The study introduces a PLC-controlled morbidostat designed for continuous culture experiments to understand how microorganisms develop drug resistance, boasting improved hardware and software for better monitoring.
  • Validation of the morbidostat revealed that microorganisms exposed to increasing levels of the antimicrobial compound DDAC showed increased susceptibility and significant growth changes, indicating successful adaptive evolution.
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Antimicrobial heteroresistance refers to the presence of different subpopulations with heterogeneous antimicrobial responses within the same bacterial isolate, so they show reduced susceptibility compared with the main population. Though it is widely accepted that heteroresistance can play a crucial role in the outcome of antimicrobial treatments, predictive Antimicrobial Resistance (AMR) models accounting for bacterial heteroresistance are still scarce and need to be refined as the techniques to measure heteroresistance become standardised and consistent conclusions are drawn from data. In this work, we propose a multivariate Birth-Death (BD) model of bacterial heteroresistance and analyse its properties in detail.

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Article Synopsis
  • Antimicrobial tolerance in the food industry poses risks to food safety, prompting the need for effective solutions like combining different antimicrobials.
  • This study examines the antimicrobial effects of two essential oil constituents (carvacrol and eugenol) combined with quaternary ammonium compounds (benzalkonium chloride and didecyldimethylammonium chloride) against common foodborne bacteria.
  • Results showed significant bactericidal synergy in these combinations, particularly with DDAC, leading to a strong reduction in bacterial load within a short time, highlighting their potential for improving food sanitization practices.
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  • e13a2 and e14a2 are the most common transcript types of the fusion gene in chronic myeloid leukemia (CML), influencing treatment outcomes.
  • The study found that patients who received at least 119 months of imatinib (IM) treatment had lower relapse rates after stopping treatment and that those with the e14a2 transcript type had better treatment-free remission (TFR) outcomes.
  • While transcript type did not impact the response to second-generation tyrosine kinase inhibitors (2G-TKI), 2G-TKI treatment was linked to improved and quicker deep molecular responses for patients with the e14a2 transcript.
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Unravelling the mechanisms of action of disinfectants is essential to optimise dosing regimes and minimise the emergence of antimicrobial resistance. In this work, we examined the mechanisms of action of a commonly used disinfectant-benzalkonium chloride (BAC)-over a significant pathogen--in the food industry. For that purpose, we used modelling at multiple scales, from the cell membrane to cell population inactivation.

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We present the complete chloroplast genome sequence of an endophytic sp. isolated from a 19th-century coralline red algal specimen from St. Croix, U.

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Fish freshness can be considered as the combination of different nutritional and organoleptic attributes that rapidly deteriorate after fish capture, i.e., during processing (cutting, gutting, packaging), storage, transport, distribution, and retail.

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Article Synopsis
  • Minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) are traditional ways to measure how effective a disinfectant is, but they ignore the dynamic growth and death phases that occur at lower concentrations.
  • This study focused on the 48-hour behavior of bacteria exposed to low levels of didecyldimethylammonium chloride (DDAC), using two mathematical models to analyze the data.
  • The results showed that while both models could track bacterial growth phases, only the more complex mechanistic model captured the death phase and revealed how different concentrations of DDAC affect its effectiveness against bacteria.
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A toxicokinetic-toxicodynamic model based on subcellular metal partitioning is presented for simulating chronic toxicity of copper (Cu) from the estimated concentration in the fraction of potentially toxic metal (PTM). As such, the model allows for considering the significance of different pathways of metal sequestration in predicting metal toxicity. In the metabolically available pool (MAP), excess metals above the metabolic requirements and the detoxification and elimination capacity form the PTM fraction.

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Chronic toxicity of copper (Cu) at sublethal levels is associated with ionoregulatory disturbance and oxidative stress. These factors were considered in a toxicokinetic-toxicodynamic model in the present study. The ionoregulatory disturbance was evaluated by the activity of the Na/K-ATPase enzyme (NKA), while oxidative stress was presented by lipid peroxidation (LPO) and glutathione-S-transferase (GST) activity.

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Industries of the food sector have made a great effort to control SARS-CoV-2 indirect transmission, through objects or surfaces, by updating cleaning and disinfection protocols previously focused on inactivating other pathogens, as well as food spoilage microorganisms. The information, although scarce at the beginning of the COVID-19 pandemic, has started to be sufficiently reliable to avoid over-conservative disinfection procedures. This work reviews the literature to propose a holistic view of the disinfection process where the decision variables, such as type and concentration of active substances, are optimised to guarantee the inactivation of SARS-CoV-2 and other usual pathogens and spoilage microorganisms while minimising possible side-effects on the environment and animal and human health.

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Superchilling entails lowering the fish temperature to between the initial freezing point of the fish and about 1-2°C lower. The temperature of superchilled fresh fishery products (SFFP) in boxes without ice was compared to that of products subject to the currently authorised practice in boxes with ice (CFFP) under the same conditions of on-land storage and/or transport. A heat transfer model was developed and made available as a tool to identify under which initial configurations of SFFP the fish temperature, at any time of storage/transport, is lower or equal to CFFP.

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On-land transport/storage of fresh fishery products (FFP) for up to 3 days in 'tubs' of three-layered poly-ethylene filled with freshwater and ice was compared to the currently authorised practice (fish boxes of high-density poly-ethylene filled with ice). The impact on the survival and growth of biological hazards in fish and the histamine production in fish species associated with a high amount of histidine was assessed. In different modelling scenarios, the FFP are stored on-board in freshwater or seawater/ice (in tubs) and once on-land they are 'handled' (i.

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Hyaluronic acid (HA) is a glycosaminoglycan crucial for the homeostasis of tissues, and its role on cell signalling and regulation of tissue injury and repair largely depends on HA molecular weight. Therefore, HA application in a variety of fields requires HA of defined size. While a number of enzymatic, chemical and physical methods exist for HA depolymerization, limited information is currently available for accurate planning of experiments.

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Chondroitin sulfate (CS) is a sulfated glycosaminoglycan with diverse biological activities, which are influenced by molecular weight (Mw) and sulfation pattern. In the present work, we take advantage of the characteristic high Mw of fish CS (51-70 kDa) to obtain lower Mw fragments with hyaluronidase and chondroitinase ABC. With this aim, we present a pseudo-mechanistic model capable of reproducing the decrease in Mw of CS from five different fish species over 24 h at four enzyme to substrate ratios.

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Mechanistic models based on chemical properties of metals and body size have received substantial attention for their potential application to various metals and to different conditions without required calibration. This advantage has been demonstrated for a number of metals, such as Cd and Ag. However, the capacity of metal-specific chemical properties to explain variations in the accumulation for platinum-group elements (PGEs) has not been investigated yet, although emission of these metals is of increasing concern.

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Simultaneous presence of metals and parasites in fish might lead to potential risks to human health. Parasites might influence metal accumulation and disturb detoxification in fish, thereby affecting biomarkers of fish responses as well as metal biomagnification in humans. It is, therefore, of importance to take into account parasite infection when investigating metal accumulation in fish.

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Optimal disinfection protocols are fundamental to minimize bacterial resistance to the compound applied, or cross-resistance to other antimicrobials such as antibiotics. The objective is twofold: guarantee safe levels of pathogens and minimize the excess of disinfectant after a treatment. In this work, the disinfectant dose is optimized based on a mathematical model.

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A realistic description of the variability in bacterial growth and division is critical to produce reliable predictions of safety risks along the food chain. Individual-based modeling of bacteria provides the theoretical framework to deal with this variability, but it requires information about the individual behavior of bacteria inside populations. In this work, we overcome this problem by estimating the individual behavior of bacteria from population statistics obtained with flow cytometry.

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Mathematical models, in particular, physics-based models, are essential tools to food product and process design, optimization and control. The success of mathematical models relies on their predictive capabilities. However, describing physical, chemical and biological changes in food processing requires the values of some, typically unknown, parameters.

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Fish quality has a direct impact on market price and its accurate assessment and prediction are of main importance to set prices, increase competitiveness, resolve conflicts of interest and prevent food wastage due to conservative product shelf-life estimations. In this work we present a general methodology to derive predictive models of fish freshness under different storage conditions. The approach makes use of the theory of optimal experimental design, to maximize data information and in this way reduce the number of experiments.

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Calcium ions act as messengers in a broad range of processes such as learning, apoptosis, and muscular movement. The transient profile and the temporal accumulation of calcium signals have been suggested as the two main characteristics in which calcium cues encode messages to be forwarded to downstream pathways. We address the analytical quantification of calcium temporal-accumulation in a long, thin section of a nonexcitable cell by solving a boundary value problem.

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Parkinsonian and essential tremor can often be effectively treated by deep brain stimulation. We propose a novel explanation for the mechanism by which this technique ameliorates tremor: a reduction of the delay in the relevant motor control loops via preferential antidromic blockade of slow axons. The antidromic blockade is preferential because the pulses more rapidly clear fast axons, and the distribution of axonal diameters, and therefore velocities, in the involved tracts, is sufficiently long-tailed to make this effect quite significant.

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