Predictive Modeling of Microbial Behavior in Food.

Microorganisms can contaminate food, thus causing food spoilage and health risks when the food is consumed. Foods are not sterile; they have a natural flora and a transient flora reflecting their environment. To ensure food is safe, we must destroy these microorganisms or prevent their growth. Recurring hazards due to lapses in the handling, processing, and distribution of foods cannot be solved by obsolete methods and inadequate proposals. They require positive approach and resolution through the pooling of accumulated knowledge. As the industrial domain evolves rapidly and we are faced with pressures to continually improve both products and processes, a considerable competitive advantage can be gained by the introduction of predictive modeling in the food industry. Research and development capital concerns of the industry have been preserved by investigating the plethora of factors able to react on the final product. The presence of microorganisms in foods is critical for the quality of the food. However, microbial behavior is closely related to the properties of food itself such as water activity, pH, storage conditions, temperature, and relative humidity. The effect of these factors together contributing to permitting growth of microorganisms in foods can be predicted by mathematical modeling issued from quantitative studies on microbial populations. The use of predictive models permits us to evaluate shifts in microbial numbers in foods from harvesting to production, thus having a permanent and objective evaluation of the involving parameters. In this vein, predictive microbiology is the study of the microbial behavior in relation to certain environmental conditions, which assure food quality and safety. Microbial responses are evaluated through developed mathematical models, which must be validated for the specific case. As a result, predictive microbiology modeling is a useful tool to be applied for quantitative risk assessment. Herein, we review the predictive models that have been adapted for improvement of the food industry chain through a built virtual prototype of the final product or a process reflecting real-world conditions. It is then expected that predictive models are, nowadays, a useful and valuable tool in research as well as in industrial food conservation processes

Hydro-mechanichal characterisation of bentonite/steel interfaces

The hydromechanical response of a Wyoming-type bentonite (MX-80) and its interface with steel was studied in terms of shear resistance under different hydration levels. A series of shear tests under constant normal stress were performed in total suction controlled conditions. In the case of bentonite samples, higher shear resistance was obtained for higher levels of applied suction. The shear properties of the bentonite/steel interface were overall lower than the internal properties of the bentonite, and they were not affected in a significant way by the hydration level. All samples presented a compactive response during shearing

Value-added effects of using aromatic plants in foods and human therapy

Consumers' demands for low-processed and healthier food products led to a search for alternatives to replace or reduce synthetic food additives with natural ones. Aromatic plant derivatives which have GRAS status, have been examined for being natural food preservatives and antioxidants to prolong the shelf-life of foods. They contribute to food safety, owing to their anti-quorum sensing, and anti-biofilm properties. These potential food safety attributes and increasing demand for natural food additive options have led to an interest in the use of them, especially in traditional meat, dairy, and bakery products, which would provide them an added value, and increase the market competitiveness. Therefore, the overall perspective of the value-added effects of using aromatic plants and their derivatives in food production and of their incorporated use into packaging materials for active packaging are discussed in this review. In addition, it provides information on their antimicrobial and antioxidant actions. The review also aims to give detailed information on benefits of vegetal bioactive compounds in health and disease by giving their nutraceutical and health-promoting properties. The current knowledge on their application in the treatment of health disorders is presented, their ability to prevent diseases is discussed, and the areas for future research are proposed

Current Insights in Microbiome Shifts in Sjogren's Syndrome and Possible Therapeutic Interventions.

Sjogren's syndrome (SS) is an autoimmune disease, among the most common ones, that targets mainly the exocrine glands as well as extra-glandular epithelial tissues. Their lymphocytic infiltration leads to manifestations from other organs (e.g., kidneys, lungs, liver, or thyroid), apart from sicca symptoms (xerostomia and keratoconjunctivitis). SS is more prevalent in women than in men (9:1). Moreover, p.SS patients are in increased risk to develop lymphoma. Certain autoantibodies (e.g., antibodies against ribonucleoprotein autoantigens Ro-SSA and La-SSB) are ultimate hallmarks for the disease. It was not known until recently that culture-independent techniques like next-generation sequencing (NGS) facilitate the study of the microbe communities in humans and scientists achieved to define the outlines of the microbiome contribution in health and disease. Researchers have started to investigate the alterations in diversity of the oral, ocular, or intestinal microbiota in SS. Recent studies indicate that dysbiosis may play a significant role in SS pathogenesis. At the same time, the cause or effect is not clear yet because the dysfunction of salivary glands induces alterations in oral and intestinal microbiome which is linked to worsen of symptoms and disease severity. If the human microbiome proves to play a key role in pathogenesis and manifestation of SS, the next step could be new and promising therapeutic approaches such as probiotics or prebiotics. This mini review focuses on the alterations of microbiome of SS patients, their connection with immune tolerance and new therapeutic strategies involving diet manipulation toward future personalized medicine

Unraveling the Interconnection Patterns Across Lung Microbiome, Respiratory Diseases, and COVID-19.

Albeit the lungs were thought to be sterile, recent scientific data reported a microbial microbiota in the lungs of healthy individuals. Apparently, new developments in technological approachesincluding genome sequencing methodologies contributed in the identification of the microbiota and shed light on the role of the gut and lung microbiomes in the development of respiratory diseases. Moreover, knowledge of the human microbiome in health may act as a tool for evaluating characteristic shifts in the case of disease. This review paper discusses the development of respiratory disease linked to the intestinal dysbiosis which influences the lung immunity and microbiome. The gastrointestinal-lung dialogue provides interesting aspects in the pathogenesis of the respiratory diseases. Lastly, we were further interested on the role of this interconnection in the progression and physiopathology of newly emergedCOVID-19

A multichannel feature-based approach for longitudinal lung CT registration in the presence of radiation induced lung damage

Quantifying parenchymal tissue changes in the lungs is imperative in furthering the study of radiation-induced lung damage (RILD). Registering lung images from different time-points is a key step of this process. Traditional intensity-based registration approaches fail this task due to the considerable anatomical changes that occur between timepoints. This work proposes a novel method to successfully register longitudinal pre- and post-radiotherapy (RT) lung CT scans that exhibit large changes due to RILD, by extracting consistent anatomical features from CT (lung boundaries, main airways, vessels) and using these features to optimise the registrations. Pre-RT and 12-month post-RT CT pairs from fifteen lung cancer patients were used for this study, all with varying degrees of RILD, ranging from mild parenchymal change to extensive consolidation and collapse. For each CT, signed distance transforms from segmentations of the lungs and main airways were generated, and the Frangi vesselness map was calculated. These were concatenated into multi-channel images and diffeomorphic multichannel registration was performed for each image pair using NiftyReg. Traditional intensity-based registrations were also performed for comparison purposes. For the evaluation, the pre- and post-registration landmark distance was calculated for all patients, using an average of 44 manually identified landmark pairs per patient. The mean (standard deviation) distance for all datasets decreased from 15.95 (8.09) mm pre-registration to 4.56 (5.70) mm post-registration, compared to 7.90 (8.97) mm for the intensity-based registrations. Qualitative improvements in image alignment were observed for all patient datasets. For four representative subjects, registrations were performed for 3 additional follow-up timepoints up to 48-months post-RT and similar accuracy was achieved. We have demonstrated that our novel multichannel registration method can successfully align longitudinal scans from RILD patients in the presence of large anatomical changes such as consolidation and atelectasis, outperforming the traditional registration approach both quantitatively and through thorough visual inspection

Assessing Patients’ Needs in Greek Intensive Care Units. Validation of a Respiratory Patient Satisfaction Scale

Respiratory patients constitute a specific and large category of patients hospitalized in Greek Intensive Care Units (ICUs). These patients have specific needs which differ significantly from other groups of patients treated in general ICUs. Assessing the needs and satisfaction levels of respiratory patients is a crucial issue, related to the quality of care provided in ICU.  Many questionnaires have been developed to measure patient satisfaction or patient needs. However, no previous attempt has been made to develop an instrument focused on respiratory patient needs with the appropriate psychometric properties. The aim of this study was to describe the development and evaluation of the psychometric properties of the Respiratory Patient Satisfaction Scale, and its validity and reliability, by ICU respiratory patients’ satisfaction.Τhe questionnaire was pilot tested with 20 ICU respiratory patients to identify problems of wording or length of the instrument. Based on feedback, the wording was adjusted and certain items were combined. A new convenience sample of 164 ICU respiratory patients then performed a test-retest of the questionnaire. Internal consistency was assessed using Cronbach alpha coefficients and stability of items was evaluated through test and retest comparison and expressed through intraclass correlation coefficient (ICC). The internal consistency reliability coefficients exceed the minimum 0.50 for Cronbach’s coefficient alpha. An exploratory factor analysis revealed seventeen factors, explaining 74.5% of the variability. Respiratory Patient Satisfaction Scale found to be a comprehensive instrument with satisfactory psychometric properties. The results from this study would serve as references for continuous improvement in intensive care practice helping all patients hospitalized in Greek ICUs and not only the respiratory patients. Keywords: Respiratory patients, Intensive Care Unit, Patient Satisfaction Scale, Validation,   Quality care. DOI: 10.7176/JEP/12-17-01 Publication date:June 30th 202

Comparative Susceptibility Study Against Pathogens Using Fermented Cranberry Juice and Antibiotics.

In the present study, unfermented and fermented cranberry juice in combination with the Antibiotics vancomycin and tigecycline were tested for their antimicrobial activity. Cranberry juice was fermented with a recently isolated potentially probiotic Lactobacillus paracasei K5. The tested strains selected for this purpose were Enterococcus faecalis, E. faecium, Enterobacter cloacae and Staphylococcus aureus. The methods followed were the determination of zones inhibition, Minimum Inhibitory Concentration (MIC) and Fractional Inhibitory Concentration Index (FICI). Tigecycline together with fermented juice exhibited larger Zones of Inhibition (ZOI) in strains of E. faecium (65 ± 4.8 mm) compared to the respective ZOI with tigecycline and unfermented juice (no zone). The same outcome was also obtained with E. cloacae. Vancomycin together with fermented juice exhibited larger ZOI in strains of E. faecium (28 ± 2.2 mm) compared to the respective ZOI with vancomycin and unfermented juice (24 ± 2.3 mm). The lowest MIC values were recorded when tigecycline was combined with fermented cranberry juice against S. aureus strains, followed by the same combination of juice and antibiotic against E. cloacae strains. FICI revealed synergistic effects between fermented juice and tigecycline against a strain of E. faecium (A2020) and a strain of E. faecalis (A1940). Such effects were also observed in the case of fermented juice in combination with vancomycin against a strain of S. aureus (S18), as well as between fermented juice and tigecycline against E. cloacae (E1005 and E1007) strains. The results indicate that the antibacterial activity of juice fermented with the potentially probiotic L. paracasei K5 may be due to synergistic effects between some end fermentation products and the antibiotic agents examined