Antimicrobial resistance (AMR) emerges and circulates across interconnected human, animal, food, and environmental reservoirs; however, food fermentation systems remain underexplored as indicators of local AMR pressure, even though artisanal dairy fermentations may function as natural sentinels of AMR. In this study, we used an artisanal dairy fermentation chain as a One Health model to investigate whether environmentally exposed lactobacilli can reflect stage-associated shifts in resistance. A total of 1.085 isolates representing 16 Lactobacillus species were recovered from the same artisanal dairy matrix at two fermentation stages: day 5 ("Tyrovolia"; n = 518) and day 30 ("Kopanisti"; n = 567). Susceptibility to 14 antibiotics was evaluated by broth micro-dilution, and L. acidophilus was further screened for selected resistance genes. Overall resistance increased significantly from 69.88% (362/518) at day 5 to 77.25% (438/567) at day 30 (p = 0.0059), while multidrug resistance rose from 37.57% to 60.73% of resistant isolates (p < 0.001). Across the 224 species-antibiotic combinations examined, 129 (57.58%) showed an increased upper MIC limit at day 30, and resistance increased significantly for 9 of the 14 antibiotics tested, with the largest rises observed for metronidazole (RR = 7.67), chloramphenicol (RR = 5.74), quinupristin/dalfopristin (RR = 4.11), vancomycin (RR = 2.78), and trimethoprim (RR = 2.43). In contrast, erythromycin and oxytetracycline resistance declined significantly at the ripened stage. In L. acidophilus, 21 resistance genes were detected in 14/70 day-5 isolates and 19 genes in 13/71 day-30 isolates, but marked genotype-phenotype discordance was observed, including matrix-dependent expression patterns for tetM, ermB, and blaTEM. Collectively, these findings show that environmentally exposed artisanal dairy fermentations can enrich resistance phenotypes and may serve as sensitive sentinels of AMR dynamics at the human-animal-environment interface.

Background/Objectives: Antimicrobial resistance, an evolutionarily entrenched microbial capacity amplified by extensive antibiotic exposure, has increased the burden of difficult-to-treat infections caused by priority pathogens such as Klebsiella pneumoniae, Pseudomonas aeruginosa and Staphylococcus aureus. In this study, we assessed whether phytochemical-rich extracts from fully ripe Rosa canina pseudo-fruits (WF) and fully developed Colchicum autumnale flowers (CA) can provide combined antioxidant, antibacterial, and antibiofilm effects against multidrug-resistant clinical isolates. Methods: Plant materials were processed using seven extraction systems spanning non-polar to polar conditions (n-hexane, ethyl acetate, n-butanol, aqueous, 40% ethanol, 60% ethanol, and enzyme-assisted hydrolysis). Fractions were quantified for total phenolics, flavonoids, and tannins, evaluated for antioxidant capacity (DPPH and FRAP), tested for antibacterial activity (disc diffusion and MIC/MBC), and assessed for inhibition of early biofilm attachment. Differences among extraction methods and fractions were analyzed using standard comparative statistics (group comparisons across solvents/fractions), and relationships between chemical composition and bioactivity were examined using correlation-based analysis. Results: Extraction strategy emerged as the main determinant of bioactivity across endpoints. The WFE/ENZ fraction maximized phytochemical recovery (TPC 203.34 ± 11.55 mg GAE/g DW; TFC 35.67 ± 3.06 mg QE/g DW; TTC 53.00 ± 2.65 mg TAE/g DW) and showed strong antioxidant performance (DPPH IC50 33.60 ± 0.02 μg/mL; FRAP A700 1.90 ± 0.010 at 250 μg/mL). Antibacterial effects were strongest in polar fractions, particularly hydroethanolic and enzyme-assisted extracts, while n-hexane fractions were consistently weakest. Across eight clinical isolates and three reference strains, MIC values ranged from 0.04875 to 6.25 mg/mL for WF extracts and 0.0975-12.5 mg/mL for CA extracts. In the biofilm model, suppression of early attachment was most consistent for CAE/E60-ENZ and WFE/E40-E60-ENZ fractions. Conclusions: Correlation analysis indicated that antibacterial potency aligned primarily with flavonoid levels in R. canina pseudo-fruits and with tannin content in C. autumnale material. Overall, these results support hydroethanolic and enzyme-assisted extraction as rational strategies to enrich polyphenol-dense fractions with convergent antioxidant, antibacterial, and antibiofilm activity, reinforcing plant-derived matrices as a structured discovery space for developing complementary antimicrobial solutions beyond conventional antibiotics. Notably, this is among the first studies to evaluate the antibacterial potential of C. autumnale plant material in this context and to comprehensively assess R. canina pseudo-fruit extracts against multidrug-resistant clinical.

Background/Objectives:Staphylococcus aureus (S. aureus) intramammary infection remains a major global dairy problem due to its contagious nature, its ability to persist and colonize teat/skin and mucosal niches, and the often-limited bacteriological cure achieved with antimicrobial therapy. Beyond udder health, it is relevant to public health because it can enter raw milk chains and serve as a reservoir for antimicrobial resistance determinants that may circulate between dairy animals and humans. Methods: We assessed S. aureus' ecology in raw ewe milk from 75 sheep farms in Epirus (Greece) by sampling clinically healthy controls (group A) and clinical mastitis cases pre-treatment (group B), followed by resampling at the first post-withdrawal milking after penicillin/streptomycin treatment (group C1-therapeutic protocol 1), oxytetracycline treatment (group C2-therapeutic protocol 2), or enrofloxacin treatment (group C3-therapeutic protocol 3). Results:S. aureus detection was high and comparable across groups (A 23.0%, B 22.0-30.0%, C 20.0-22.0%), and paired analyses showed no significant pre-post shifts in detection/burden within therapeutic protocols (all p > 0.05). Nevertheless, persistence remained evident. The chromosomal gene mecA was detected in S. aureus strains in all groups, ranging from 13.6% in controls to 54.5% post-withdrawal in group C1, and was also present in the pre-treatment group. In paired sampling animals, mecA was mostly stable, with rare emergence or loss. Across antibiotic classes, within-animal resistance transitions were generally uncommon and non-significant (p > 0.05); β-lactam resistance was fully stable (p = 1.00). Descriptively, resistance to protein synthesis inhibitors tended to decline after therapy in protocol 1 and protocol 3, while protocol 3 showed post-treatment gains in fluoroquinolone resistance. By contrast, virulence-associated phenotype traits shifted after therapy: enterotoxigenicity increased post-withdrawal (especially in the C3 group), Staphylococcal Enterotoxin A (SEA) and Staphylococcal Enterotoxin B (SEB) appeared only post-therapy, Staphylococcal Enterotoxin D (SED) increased significantly in paired isolates (p = 0.002), and strong biofilm adherence increased (in C3, p = 1.5 × 10-5). Conclusions: The detection of S. aureus after therapy suggests that one possibility is that antimicrobial exposure may select for, or otherwise reshape, the residual intramammary population, rather than reliably eliminating it-an outcome that remains clinically relevant for udder health. Moreover, the persistence of mecA/methicillin-resistant Staphylococcus aureus (MRSA)-compatible profiles indicates that milk released to the food chain after withdrawal compliance may still harbor S. aureus with enhanced preservation capacity and significant food safety relevance.

The implementation of Hazard Analysis and Critical Control Points (HACCP) systems remains a cornerstone of food safety management. However, their effectiveness is influenced by organizational, human, and technological factors. This study investigates professional perceptions of HACCP implementation and explores the extent to which a large language model (LLM)—ChatGPT 4.1—can approximate human judgments in this domain. A structured questionnaire was administered to 90 professionals operating in food service, hospitality, industry, and consultancy. Responses were compared with outputs generated by ChatGPT 4.1 via a standardized multi-persona prompting protocol simulating five professional roles. To enhance response stability and minimize stochastic variation, each question was submitted in independent zero-shot sessions over multiple iterations. Responses were analysed across three thematic dimensions: barriers to HACCP implementation, perceived benefits, and digital readiness. Spearman correlation analysis of human responses revealed a systemic “training–turnover association,” where high staff turnover (r = 0.62, p < 0.01) was significantly associated with difficulties in maintaining continuous training. Statistical benchmarking using one-sample t-tests showed that the tested model generated significantly higher ratings for implementation barriers (p < 0.001) and digital readiness (p < 0.001) than the corresponding human assessments. These findings suggest that while ChatGPT can approximate aggregated professional perceptions in certain areas, notable divergences persist in operational and readiness-related domains. The study contributes methodological insights into human–AI comparative research and highlights opportunities and limitations of AI-supported decision-making in food safety management systems.

This detailed narrative review focuses on the current understanding of unique alterations in GM colonization and subsequent complications following surgery for significant childhood conditions, such as necrotizing enterocolitis (NEC), Hirschsprung's disease (HD), inflammatory bowel disease (IBD), and short bowel syndrome (SBS). Surgical interventions can alter the diversity and structure of the GM and potentially cause post-surgical complications. Although the data are well-established in adults, there is a lack of pediatric-specific data on post-surgical GM dysbiosis and its complications, including surgical infections, intestinal obstructions (IO), and anastomotic leak (AL). This gap constitutes both a clinical risk and an important therapeutic opportunity. Therefore, research on how to modulate the GM perioperatively in children is needed. Current research provides an initial understanding of the possible post-surgical implications for outcomes of these intestinal disorders. Future studies could clarify GM alterations associated with various pediatric intestinal surgical procedures and their complications, which may influence the evaluation of GM-targeted treatments.

Bibliometric analyses are increasingly used to evaluate scientific domains, revealing research trends, productivity, and impact. This study provides a bibliometric analysis of microbiome-related research conducted by Greek scientists. Data were retrieved from the Scopus database, using the keyword “microbiome” (English) for publications until December 2024. Bibliometric analysis was performed using VOSviewer and the bibliometrix package in R. Our findings indicate that research output has increased exponentially since 2018, with the National and Kapodistrian University of Athens and the Aristotle University of Thessaloniki leading microbiome research in Greece. Medicine, biochemistry, genetics, molecular biology, immunology, and microbiology are the predominant research fields. The keyword analysis highlights “microbiome”, “microbiota”, “probiotics”, “prebiotics”, “intestinal flora”, and “16S rRNA” as central topics. Additionally, we acknowledge the role played by alternative microbial markers, including 18S rRNA/ITS sequencing, for fungal diversity studies. This bibliometric study demonstrates a dynamic and evolving research landscape in Greece and highlights the international relevance of Greek contributions to microbiome science.

In the beginning, it was diversity—or so evolutionary biology suggest when interpreting how and why antibiotic production began on Earth [...]

Aviation emissions significantly impact air quality, contributing to environmental degradation and public health risks. This study aims to assess the impact of aviation-related emissions on air quality at Alexandroupolis Regional Airport, Greece, and evaluate the role of meteorological factors in pollution dispersion. Using machine learning models, we analyzed emissions data, including CO2, NOx, CO, HC, SOx, PM2.5, fuel consumption, and meteorological parameters from 2019–2020. Results indicate that NOx and CO2 emissions showed the highest correlation with air traffic volume and fuel consumption (R = 0.63 and 0.67, respectively). Bayesian Linear Regression and Linear Regression emerged as the most accurate models, achieving an R2 value of 0.96 and 0.97, respectively, for predicting PM2.5 concentrations. Meteorological factors had a moderate influence, with precipitation negatively correlated with PM2.5 (−0.03), while temperature and wind speed showed limited effects on emissions. A significant decline in aviation emissions was observed in 2020, with CO2 emissions decreasing by 28.1%, NOx by 26.5%, and PM2.5 by 35.4% compared to 2019, reflecting the impact of COVID-19 travel restrictions. Carbon dioxide had the most extensive percentage distribution, accounting for 75.5% of total emissions, followed by fuels, which accounted for 24%, and the remaining pollutants, such as NOx, CO, HC, SOx, and PM2.5, had more minor impacts. These findings highlight the need for optimized air quality management at regional airports, integrating machine learning for predictive monitoring and supporting policy interventions to mitigate aviation-related pollution.

Milk’s biological origin determination, including its adulteration and authenticity, presents serious limitations, highlighting the need for innovative advanced solutions. The utilisation of proteomic technologies combined with personalised algorithms creates great potential for a more comprehensive approach to analysing milk samples effectively. The current study presents an innovative approach utilising proteomics and neural networks to classify and distinguish bovine, ovine and caprine milk samples by employing advanced machine learning techniques; we developed a precise and reliable model capable of distinguishing the unique mass spectral signatures associated with each species. Our dataset includes a diverse range of mass spectra collected from milk samples after MALDI-TOF MS (Matrix-assisted laser desorption/ionization-time of flight mass spectrometry) analysis, which were used to train, validate, and test the neural network model. The results indicate a high level of accuracy in species identification, underscoring the model’s potential applications in dairy product authentication, quality assurance, and food safety. The current research offers a significant contribution to agricultural science, providing a cutting-edge method for species-specific classification through mass spectrometry. The dataset comprises 648, 1554, and 2392 spectra, represented by 16,018, 38,394, and 55,055 eight-dimensional vectors from bovine, caprine, and ovine milk, respectively.

This study presents a comprehensive Quantitative Microbial Risk Assessment (QMRA) for Escherichia coli in northeastern Greece’s riverine and deltaic aquatic systems, evaluating potential human health risks from recreational water exposure. The analysis integrates seasonal microbiological monitoring data—E. coli, total coliforms, enterococci, Salmonella spp., Clostridium perfringens (spores and vegetative forms), and physicochemical parameters (e.g., pH, temperature, BOD5)—across multiple sites. A beta-Poisson dose–response model within a Monte Carlo simulation framework (10,000 iterations) was applied to five exposure scenarios, simulating varying ingestion volumes for different population groups. Median annual infection risks ranged from negligible to high, with several locations (e.g., Mandra River, Konsynthos South, and Delta Evros) surpassing the World Health Organization (WHO)’s benchmark of 10−4 infections per person per year. A Gradient Boosting Regressor (GBR) model was developed to enhance predictive capacity, demonstrating superior accuracy metrics. Permutation Importance analysis identified enterococci, total coliforms, BOD5, temperature, pH, and seasons as critical predictors of E. coli concentrations. Additionally, sensitivity analysis highlighted the dominant role of ingestion volume and E. coli levels across all scenarios and sites. These findings support the integration of ML-based tools and probabilistic modelling in water quality risk governance, enabling proactive public health strategies in vulnerable or high-use recreational zones.

The One Health approach is rapidly gaining the attention of the scientific community worldwide and is expected to be a major model of scientific reasoning in the 21st century, concerning medical, veterinary and environmental issues. The basic concept of One Health, that humans, animals and their environments are parts of the same natural world affecting each other, is rooted in most ethnic as well as in many religious traditions. Despite this unity and for historical reasons, medical, veterinary and environmental sciences developed independently. The One Health concept tries to reunite these and many other relevant sciences, aiming at a deeper understanding of the interconnection between the natural world, humans and animal health. The dynamic interplay between a host’s microbiome, the microbiomes of other hosts, and environmental microbial communities profoundly influences the host health, given the essential physiological functions the microbiome performs within the organism. The biodiversity of microbiomes is broad and complex. The different areas of the skin, the upper and lower respiratory systems, the ocular cavity, the oral cavity, the gastrointestinal tract and finally the urogenital system of pets and humans alike are niches where a multitude of microorganisms indigenous and transient—commensals and pathogens, thrive in a dynamic antagonistic balance of populations of different phyla, orders, genera and species. The description of these microbiomes attempted in this article is not meant to be exhaustive but rather demonstrative of their complexity. The study of microbiomes is a necessary step towards the One Health approach to pets and humans. Yet, despite the progress made on that subject, the scientific community faces challenges, such as the limitations of studies performed, the scarcity of studies concerning the microbiomes of cats, the multitude of environmental factors affecting the results and others. The two new terms proposed in this article, the “familiome” and the “oikiome”, will aid in the One Health theoretical analysis as well as in its practical approach. The authors strongly believe that new technological breakthroughs, like Big Data Analytics and Artificial Intelligence (AI), will significantly help to overcome these hazards.

Natural products (NPs) serve as a crucial source for leading bioactive compounds in drug discovery research. Numerous drugs currently utilized as therapeutic agents have been derived from natural origins, with medicinal plant (MP) sources being particularly significant. Despite the advancement of synthetic chemistry, the importance of NPs persists due to their distinct chemical structures and varied biological activities. Moreover, recent advancements in technology have significantly aided in overcoming challenges, primarily due to inherent complexity. This review explores the potential of NPs in the process of drug discovery and development, placing emphasis on the blend of traditional knowledge with modern drug discovery techniques. A brief history of the development of NP drug discovery and examples of significant NPs developed in recent decades are also provided. The focus is on the various methods employed in authentication, selection, extraction/isolation, and bioactivity screening through the application of modern drug-development principles for NPs. Several cutting-edge techniques, such as genetic engineering, metabolic engineering, plant cell culture and synthetic biology utilizing “omics” technologies and computational methodologies enhancing research in NP drug discovery, are also highlighted. There are several problems and inherent challenges regarding NP drug discovery that need to be overcome. Despite the challenges that exist, NPs will be crucial for the future development of new therapeutic drugs, and it is expected that continuous research and the effective utilization of new approaches will further enhance drug discovery efforts.

The significance of gut microbiota (GM) in human health is being increasingly researched. An imbalance in GM composition, known as dysbiosis, is linked to various and other health issues. In addition, antibiotics are the primary and most significant factors leading to major changes in the composition and function of the GM, which may result in colonization by antimicrobial-resistant (AMR) pathogens. Therefore, alternative antibiotic strategies for combating AMR pathogens are urgently needed. This narrative review highlights current knowledge regarding various pertinent strategies for decolonizing bacterial pathogens from GM and emphasizes decolonization therapies' critical role in pediatric surgical disorders. Strategies such as decontamination of the digestive tract utilizing antibiotics, the use of probiotics, and particularly fecal microbiota transplantation have introduced new options for clinical treatment. These treatments show the potential to restore GM balance and have demonstrated advantages for intestinal disorders related to pediatric surgery, including inflammatory bowel disease, neonatal necrotizing enterocolitis, Hirschsprung-associated enterocolitis, and short bowel syndrome. Despite GM therapeutics, recent strategies are still in their developmental phase and exhibit challenges that need further research. Thus, potential future directions for GM-targeted decolonization therapies are under consideration. Innovative alternative strategies to combat AMR though GM modulation in disorders related to pediatric surgery appear to be promising and should continue to be prioritized for further research and development.

Milk is a nutritionally rich food and a frequent target of economically motivated adulteration, particularly through substitution with lower-cost milk types. Over the past decade, significant progress has been made in the authentication of milk using advanced proteomic and chemometric approaches, with a focus on the discovery and application of protein and peptide biomarkers for species differentiation and fraud detection. Recent innovations in both top-down and bottom-up proteomics have markedly improved the sensitivity and specificity of detecting key molecular targets, including caseins and whey proteins. Peptide-based methods are especially valuable in processed dairy products due to their thermal stability and resilience to harsh treatment, although their species specificity may be limited when sequences are conserved across related species. Robust chemometric approaches are increasingly integrated with proteomic pipelines to handle high-dimensional datasets and enhance classification performance. Multivariate techniques, such as principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), are frequently employed to extract discriminatory features and model adulteration scenarios. Despite these advances, key challenges persist, including the lack of standardized protocols, variability in sample preparation, and the need for broader validation across breeds, geographies, and production systems. Future progress will depend on the convergence of high-resolution proteomics with multi-omics integration, structured data fusion, and machine learning frameworks, enabling scalable, specific, and robust solutions for milk authentication in increasingly complex food systems.

Inflammatory bowel disease (IBD) remains a burden for patients with increasing prevalence in industrialized countries. Phytochemicals are non-nutrient plant derived bioactive substances with antioxidant and anti-inflammatory effects that may prove beneficial to IBD patients. This review aims to overview current evidence on the application and impact of isolated phytochemicals or phytochemicals contained in plant extracts and essential oils on patients suffering from IBD. A systematic literature search was conducted for studies relating to the use of phytochemicals for the treatment of IBD. Ultimately, 37 human clinical trials and 3 systematic reviews providing human IBD patient data relevant to phytochemicals as therapeutic agents were included. Phytochemicals in the form of curcumin, Plantago ovata seeds, polyphenon E, silymarin, resveratrol supplements or an herbal preparation of myrrh, chamomile and coffee charcoal have evidence from human clinical trials supporting their safety and beneficial effects. Cannabinoids improve quality of life but not IBD outcomes. The addition of probiotics like B. longum to fructo-oligosaccharides promote healthy composition of the gut microbiome. Phytochemicals like mastiha, anthocyanins, berberine, tormentil, T2, ecabet sodium and Pycnogenol need more well-designed trials. Systematic research on phytochemicals can lead to the discovery of useful therapeutics. These secondary metabolites can be incorporated in current IBD treatment strategies to limit side effects, promote mucosal healing and provide higher quality of life to patients.

Rural households all over the world rear backyard chicken mainly for their own consumption and, to a lesser extent, for barter trade. These chickens represent a staple dish with numerous culinary variations and a cheap source of protein. Although some Campylobacter species, and particularly Campylobacter jejuni and Campylobacter coli, have been associated with industrial poultry carcasses, studies concerning the ecology of this genus in rural households do not exist. To assess the prevalence of Campylobacter species in the tissues of backyard chickens, samples were collected from birds Gallus domesticus bred in households in the rural area of Epirus (Greece), and Campylobacter strains were isolated by quantitative methods at 37 °C and 42 °C. In total, 256 strains were identified, belonging to 17 Campylobacter species, with C. jejuni and C. coli being the most prevalent. From the four ecological parameters studied (size of the flock, presence of small ruminants in the same household, presence of other poultry species in the same household, and feeding leftovers of the household), the size of the flock and the presence of small ruminants and/or pigs in the same household mostly affected the distribution of these strains. To study the phenotypical resistance against 14 antibiotics, 215 strains were selected. The results showed a high prevalence of multidrug-resistance (MDR) strains extending to all classes of antibiotics. Further genome analysis revealed the presence of genes coding resistance (blaOxA-61, tet(O), tet(A) cmeA, cmeB, cmeC, and gyrA (Thr-86-Ile mutation)), with the efflux pump CmeABC being the most prevalent. All antimicrobial resistance-encoded genes co-circulated, except for blaOXA-61, which moved independently. The minimum inhibitory concentration (MIC) values of two out of three antibiotics (representing different classes) were reduced when the strains tested were exposed to carbonyl cyanide 3-chlorophenylhydrazone (CCCP), a known efflux pump inhibitor. The same result was obtained with the addition of CCCP to the MIC values of bile salts. These results lead to the conclusion that Campylobacter species are present in an impressive diversity in backyard chicken tissues and that they exert a significant resistance to antibiotics, raising a potential danger for public health.

Dairy products from ovine milk are very popular in the Mediterranean countries and are gaining a large portion of the market in EU countries and worldwide. EU legislation permits the dairy processing of raw ovine milk under certain conditions. To study the ecology and prevalence of E. coli in raw ewes’ milk and assess thus the public health risk, samples of milk were taken from 75 different sheep farms in the rural area of Epirus, Greece. The initial sampling was conducted in clinically healthy animals which were noted as controls (group A). From the same farms, samples were taken from animals with clinical mastitis and before treatment (group B). For therapeutic purposes, to some animals, a combination of penicillin and streptomycin was administrated (group C1), or tetracycline (group C2), or enrofloxacin (group C3). Finally, samples of raw milk were taken from the C groups, on the first day after the withdrawal period of the antibiotics used, when the milk is permitted to enter the food chain. In total, 97 isolates of Escherichia coli were recovered from all groups. Analysis revealed an impressive increase in E. coli strains in the milk of group B (39.33%) with respect to group A (5%). Even after treatment, although the prevalence was decreased, it was still found to be higher in the C groups than group A. E. coli O157:H7 strains absent from group A were detected in all other groups in relatively low occurrence rates with respect to other “O” serotypes but non-O157:H7 strains. Virulence factors such as the production of toxins (32.60% for serotoxin 1 and 18.47% for serotoxin 2) and hemolysin (42.39%) as well as biofilm formation capacity (52.17% of the total) and ESDL production (43.47% of the total) were also studied. All strains were also tested for susceptibility against 12 antibiotics by the MIC method and the results showed a high prevalence of resistance and multi-resistance. The presence of various resistant strains to antibiotics and pathogenic “O” serotype strains in the milk when it can enter the food chain again is an alarming conclusion.

This study utilized phytochemical screening to conduct the qualitative analysis of plant extracts, aiming to identify various classes of secondary metabolites. Moreover, the antibacterial activity of different types of Oregano vulgare and Salvia triloba extracts was determined. To achieve the aim of this study, aqueous, ethanolic, and enzymatic extracts were prepared and screened for phytochemical capacity and antioxidant activities. The determination of the antibacterial activity included phenotypic screening of antibiotic susceptibility pattern of oral and food pathogenic bacterial strains, determination of the minimum inhibitory concentration and minimum bactericidal concentration—via microdilution broth test and in vitro valuation of antibacterial efficacies—of the anti-biofilm properties of the studied herbal extractions. Results: Our study evaluated the phytochemical composition and the antioxidant, antibacterial, and anti-biofilm properties of O. vulgare and S. triloba extracts. The analyzed samples contained bioactive compounds, such as phenolics and flavonoids, contributing to the observed strong antioxidant effect. Furthermore, they exhibited notable activity against oral biofilm formation and demonstrated significant antibacterial efficacy against dental caries’ microorganisms as well as food pathogens. Despite methodological variations, all extracts showed significant antioxidant capacity and promising antibacterial activity against various pathogens, including resistant strains, while also inhibiting biofilm formation. Although limited to two plant species and facing methodological constraints, this study lays the groundwork for future research, indicating the therapeutic potential of O. vulgare and S. triloba extracts. Further exploration is needed to report on underlying mechanisms and validate efficacy through clinical trials.

The rising demand for novel antibiotic agents prompts an investigation into natural resources, notably plant-derived compounds. In this study, various extracts (aqueous, ethanolic, aqueous-ethanolic, and enzymatic) of Rosa damascena and Hypericum perforatum were systematically evaluated against bacterial strains isolated from dental lesions (n = 6) and food sources (raw milk and broiler carcass, n = 2). Minimal inhibitory concentration (MIC), minimal bactericidal concentration (MBC), antibiofilm activity, and time-kill kinetics were assessed across a range of extract concentrations, revealing a dose-responsive effect. Notably, some extracts exhibited superior antibacterial efficacy compared to standard clinical antibiotics, and the time-kill kinetics demonstrated a rapid elimination of bacterial loads within 24 h. The susceptibility pattern proved strain-specific, contingent upon the extract type, yet all tested pathogens exhibited sensitivity. The identified extracts, rich in phenolic and polyphenolic compounds, as well as other antioxidant properties, contributed to their remarkable antibiotic effects. This comprehensive investigation not only highlights the potential of Rosa damascena and Hypericum perforatum extracts as potent antibacterial agents against diverse bacterial strains including caries pathogens, but also underscores their rapid action and dose-dependent efficacy. The findings suggest a promising avenue for harnessing plant-derived compounds in the development of novel antimicrobial strategies against dental caries and other oral inflammations, bridging the gap between natural resources and antibiotic discovery.

Nowadays, the global animal industry faces considerable challenges in securing sufficient feed resources. Responding to consumer demands for reduced use of antibiotics in animal nutrition, better animal welfare status, and reduced impact on the environment, there is an increased urgency to develop innovative functional feeds with a reduced environmental footprint and the ability to improve meat quality and safety. In an effort to explore innovative feed ingredients for growing pig diets, the combined dietary supplementation of Tenebrio molitor larvae and chitosan was investigated. An experimental trial was performed with 48 weaned pigs (34 days of life; mixed sex) that were randomly assigned to four treatment groups (with six males and six females each): Group A (control), Group B (supplemented with T. molitor larvae at 10%), Group C (supplemented with chitosan at 0.05%), and Group D (supplemented with both ingredients at 10% and 0.05%, respectively). On the 42nd day of the experimental trial, samples of blood, feces, and carcass parts were taken for analysis. The results indicated that the insect larvae meal significantly improved (p < 0.05) overall performance, increased (p < 0.05) blood red blood cell content, increased meat phenolic content (p < 0.05), improved meat oxidative stability (p < 0.05), and affected meat fatty acid profile (p < 0.05). On the other hand, chitosan had no significant effect on overall performance (p > 0.05), but it significantly increased blood lymphocyte content (p < 0.05), affected the fecal microbiota (p < 0.05), improved meat oxidative stability (p < 0.05), increased meat phenolic content (p < 0.05), and affected meat fatty acid composition (p < 0.05) and (p < 0.05) meat color. Finally, the combined use of both T. molitor and chitosan significantly affected some important zootechnical parameters (p < 0.05), fecal microbial populations (p < 0.05), meat color (p < 0.05), and fatty acid profile (p < 0.05). Further investigation into the potential interaction between insect larvae meals and chitosan in pig diets is advised.