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1,017 results for “antimicrobial”
Figure 1 from: Vlasov SV, Borysov OV, Severina HI, Vlasov VS, Abu Sharkh AIM, Georgiyants VA (2024) Synthesis, in silico and in vitro antimicrobial activity of N-(benzyl)-5-methyl-4-oxo-3,4-dihydrothieno[2,3-d]pyrimidine-6-carboxamides. Pharmacia 71: 1-9. https://doi.org/10.3897/pharmacia.71.e110013
Figure 1 The derivatives of thieno[2,3-d]pyrimidine-6-carboxylic acids with antimicrobial properties.
Figure 3 from: Vlasov SV, Borysov OV, Severina HI, Vlasov VS, Abu Sharkh AIM, Georgiyants VA (2024) Synthesis, in silico and in vitro antimicrobial activity of N-(benzyl)-5-methyl-4-oxo-3,4-dihydrothieno[2,3-d]pyrimidine-6-carboxamides. Pharmacia 71: 1-9. https://doi.org/10.3897/pharmacia.71.e110013
Figure 3 3D visualization of the interaction of ligand 5.5 with the amino acid residues of the active site of the TrmD inhibitor of TrmD P. aeruginosa.
Fig. 2 in Extensive analysis of the cultivated medicinal herbal drug Origanum dictamnus L. and antimicrobial activity of its constituents
Fig. 2. Main HMBC and ROESY signals supporting the structure of compound 9.
Fig. 1 in Extensive analysis of the cultivated medicinal herbal drug Origanum dictamnus L. and antimicrobial activity of its constituents
Fig. 1. Structures of the isolated/detected compounds in Origanum dictamnus aerial parts.
Fig. 1 in Funiculosone, a substituted dihydroxanthene-1,9-dione with two of its analogues produced by an endolichenic fungus Talaromyces funiculosus and their antimicrobial activity
Fig. 1. The structures of funiculosone, mangrovamide J and ravenelin(1–3).
In vitro Effects of Tigecycline in Combination with Other Antimicrobials against Multidrug-Resistant Acinetobacter baumannii Isolates
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Exploiting the Redox Activity of MIL-100(Fe) Carrier Enables Prolonged Carvacrol Antimicrobial Activity
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Assessment of animal diseases caused by bacteria resistant to antimicrobials: Sheep and goats- Appendix B: Excel file with all data extracted
<p>Information on all the full-text studies that were assessed, including the reason for exclusion for those that were excluded at the full-text screening and the data extracted from the included studies, can be consulted here. </p> <p>The extensive literature review was carried out by the University of Copenhagen under the contract OC/EFSA/ALPHA/2020/02 – LOT 1 (https://ted.europa.eu/udl?uri=TED:NOTICE:457654-2020:TEXT:EN:HTML)</p>
Raw data and SPSS analysis for the article Bacterial and fungal co-infections among ICU COVID-19 hospitalized patients in a Palestinian hospital: Incidence and antimicrobial stewardship
<p>The attached data is related to a study with proposes to investigate the burden of bacterial and fungal co-infections outcomes on COVID-19 patients. It is a single-center cross-sectional study of hospitalized COVID-19 patients at Beit-Jala hospital in Palestine. The study included 321 hospitalized patients admitted to the ICU between June 2020 and March 2021 aged ≥20 years,</p> <p><b>Background:</b> Diagnosis of co-infections with multiple pathogens among hospitalized COVID-19 patients can be jointly challenging and very essential for appropriate treatment, shortening hospital stay and preventing antimicrobial resistance. This study proposes to investigate the burden of bacterial and fungal co-infections outcomes on COVID-19 patients. It is a single center cross-sectional study of hospitalized COVID-19 patients at Beit-Jala hospital in Palestine.</p> <p><b>Methods: </b>The study included 321 hospitalized patients admitted to the ICU between June 2020 and March 2021 aged ≥20 years, with a confirmed diagnosis of COVID-19 via RT-PCR conducted on a nasopharyngeal swab. The patient's information was gathered using graded data forms from electronic medical reports.</p> <p><b>Results:</b> The diagnosis of bacterial and fungal infection was proved through the patient`s clinical presentation and positive blood or sputum culture results. All cases had received empirical antimicrobial therapy before the ICU admission, and different regimens during the ICU stay. The rate of bacterial co-infection was 51.1%, mainly from gram-negative isolates (Enterobacter species and K.pneumoniae). The rate of fungal co-infection caused by A.fumigatus was 48.9%, and the mortality rate was 8.1%. However, it is unclear if it had been attributed to SARS-CoV-2 or coincidental.</p>
Diversity and antimicrobial activity of bacteria found in marine sponges of Trinidad
<p>Supplementary data for MPhil thesis</p>
Survival of antimicrobial peptide resistant Staphylococcus aureus in mealworm beetles (Tenebrio molitor) with manipulated AMPexpression
<p><span>Antimicrobial peptides (AMP) are essential immune effectors of multicellular organisms. Bacteria can evolve resistance to AMPs. Surprisingly, when used to challenge the insect <em>Tenebrio molitor</em>, <em>Staphylococcus aureus</em> resistant to an abundant beetle AMP (tenecin 1) and also pleiotropically to phagocytosis did not increase host mortality or bacterial load compared to infections with wild-type <em>S. aureus</em>. A possible explanation is that antimicrobial resistance is costly due to collaterally increased sensitivity of AMP-resistant strains to other immune effectors. Here, we studied the sensitivity of a group of AMP-resistant <em>S. aureus</em> strains (which are either resistant to tenecin 1 or a combination of both tenecin 1 and tenecin 2) to other immune effectors such as phenoloxidase (PO) and other AMPs (specifically tenecin 1, tenecin 2 and tenecin 4) <em>in vivo</em>. Using RNAi-based knockdown (KD), we investigated <em>S. aureus in vivo</em> survival in insect hosts lacking particular immune effectors. We found that all except one AMP-resistant strain displayed collateral sensitivity toward phenoloxidase. Moreover, some AMP-resistant mutant strains showed sensitivity to one or more components of the beetle AMP defence cocktail. Our findings are consistent with the idea that resistance to AMPs and phagocytosis does not translate into changes in virulence because it is balanced by collaterally increased sensitivity to other host immune effectors. AMP resistance fails to provide a net survival advantage to <em>S. aureus</em> in a host environment that is dominated by AMPs because of the greater sensitivity to other immune effectors.</span></p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – France
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2020 AMR data collection: French Agency for Food, Environmental and Occupational Health & Safety</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – Sweden
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2020 AMR data collection: National Veterinary Institute, Swedish Zoonosis Centre</p>
Antimicrobial susceptibility data for six lactic acid bacteria
<p>Raw data from antimicrobial susceptibility testing of six lactic acid bacteria.</p>
Orthopaedic surgical site infections: Prevalence, bacterial etiology, and antimicrobial resistance
<p><strong>Background:</strong> Surgical site infections (SSIs), the second most dreaded post-operative hospital-acquired infection, play an important role in the emergence of multi-drug-resistant (MDR) bacteria owing to the practice of prophylactic antibiotic use. Even in the most advanced hospitals, SSIs are becoming more common, yet limited literature exists on the bacteriological profile and antimicrobial resistance. This cross-sectional study assessed the prevalence of orthopaedic SSIs in traumatically operated patients' one-month post-operation in correlation to antibiotic resistance in bacteria-causing SSIs.</p> <p><strong>Method: </strong>The demographic and surgical records of orthopaedic patients suffering post-operative SSI (clean or clean-contaminated wound) and examined in the Department of Microbiology, National Trauma Center, for aerobic bacteriological culture and susceptibility testing during three years (2020-2022) were analyzed with SPSS version 17.0.</p> <p><strong>Results:</strong> Among the total patients (n=1,438), 448 (median age: 35 years; males: 341) developed SSIs, with knee/joint infections (141/448) being predominant. SSIs occurred every seven days on average. <em>Staphylococcus aureus</em> (216/448) was the predominant bacteria. Overall, 61.88% (250/404) of isolates were penicillin-resistant, whereas 51.31% (450/877) were cephalosporin-resistant. <em>Streptococcus </em>spp. and <em>Enterobacter </em>spp. were equally predominant MDR (50%) and extensively drug-resistant (XDR) isolates (25%), while <em>S. aureus</em> was the predominant pan-drug-resistant isolate (0.46%). Fluoroquinolone resistance rates in non-MDR (n=272), MDR (n=153), and XDR (n=22) were 15.88%, 60.59%, and 22.94%, respectively, while aminoglycoside resistance rates were 13.27%, 59.29%, and 24.49%. <em>Acinetobacter calcoaceticus baumanii</em> complex exhibited the highest multiple antibiotic resistance index (0.58).</p> <p><strong>Conclusion:</strong> SSIs following orthopaedic procedures were highly prevalent, particularly due to <em>S. aureus</em> and MDR strains. Antibiotic resistance was more pronounced in MDR strains, encompassing XDR strains, than in non-MDR strains.</p>
Antimicrobial, Probiotic, and Immunomodulatory Potential of Cannabis sativa Extract and Delivery Systems
<p>Article, Dataset for the article</p> <p> </p> <h2>Abstract</h2> <div>The compounds present in hemp show multidirectional biological activity. It is related to the presence of secondary metabolites, mainly cannabinoids, terpenes, and flavonoids, and the synergy of their biological activity. The aim of this study was to assess the activity of the Henola <span>Cannabis sativae</span> extract and its combinations with selected carriers (polyvinyl caprolactam–polyvinyl acetate–polyethylene glycol graft copolymer, magnesium aluminometasilicate, and hydroxypropyl-β-cyclodextrin) in terms of antimicrobial, probiotic, and immunobiological effects. As a result of the conducted research, the antimicrobial activity of the extract was confirmed in relation to the following microorganisms: <span>Clostridium difficile</span>, <span>Listeria monocytogenes</span>, <span>Enterococcus faecalis</span>, <span>Staphylococcus aureus</span>, <span>Staphylococcus pyrogenes</span>, <span>Escherichia coli</span>, <span>Klebsiella pneumoniae</span>, <span>Salmonella typhimurium</span>, <span>Pseudomonas aereuginosa</span>, and <span>Candida albicans</span> (microorganism count was reduced from ~10<sup>2</sup> CFU mL<sup>−1</sup> to <10 CFU mL<sup>−1</sup> in most cases). Additionally, for the system with hydroxypropyl-β-cyclodextrin, a significant probiotic potential against bacterial strains was established for strains <span>Lactobacillus acidophilus</span>, <span>Lactobacillus casei</span>, <span>Lactobacillus plantarum</span>, <span>Lactobacillus brevis</span>, <span>Lactobacillus rhamnosus</span>, <span>Lactobacillus reuteri</span>, <span>Pediococcus pentosaceus</span>, <span>Lactococcus lactis</span>, <span>Lactobacillus fermentum</span>, and <span>Streptococcus thermophilus</span> (microorganism count was increased from ~10<sup>2</sup> to 10<sup>4</sup>–10<sup>7</sup>). In terms of immunomodulatory properties, it was determined that the tested extract and the systems caused changes in IL-6, IL-8, and TNF-α levels.</div> <div> <div> <div>Keywords: </div> <a href="https://www.mdpi.com/search?q=Cannabis+sativa"><span>Cannabis sativa</span></a>; <a href="https://www.mdpi.com/search?q=cannabidiol">cannabidiol</a>; <a href="https://www.mdpi.com/search?q=antibacterial">antibacterial</a>; <a href="https://www.mdpi.com/search?q=probiotic">probiotic</a>; <a href="https://www.mdpi.com/search?q=immunomodulatory">immunomodulatory</a>; <a href="https://www.mdpi.com/search?q=immunostimulatory">immunostimulatory</a></div> </div>
GRIPP-2 checklist for 'Patient and public involvement in the design and protocol development for a platform randomised trial to evaluate diagnostic tests to optimise antimicrobial therapy (PROTECT)'
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Figure 2 from: Rupcic Z, Chepkirui C, Hernández-Restrepo M, Crous PW, Luangsa-ard JJ, Stadler M (2018) New nematicidal and antimicrobial secondary metabolites from a new species in the new genus, Pseudobambusicola thailandica. MycoKeys 33: 1-23. https://doi.org/10.3897/mycokeys.33.23341
Figure 2 Pseudobambusicola thailandica (BCC 79462) on SNA. A Colony overview B–C Pycnidia D–G Conidiogenous cells H globose to subglobose cells, thick-walled, at the base of the conidiomata I Microconidia J Macroconidia K Chlamydospores. Scale bars: 200 µm (B), 100 µm (C), 10 µm (D, H, I–K), 5 µm (E–G).
Figure 1 from: Rupcic Z, Chepkirui C, Hernández-Restrepo M, Crous PW, Luangsa-ard JJ, Stadler M (2018) New nematicidal and antimicrobial secondary metabolites from a new species in the new genus, Pseudobambusicola thailandica. MycoKeys 33: 1-23. https://doi.org/10.3897/mycokeys.33.23341
Figure 1 Phylogenetic tree (RAxML) inferred from the DNA sequence data of four loci (ITS, LSU, tef1 and rpb2) of Pseudobambusicola thailandica and related species in Pleosporales (Dothideomycetes). The new taxon is indicated in bold. Taxa reported to produce deoxyphomalone are indicated by an underlined. Maximum likelihood bootstrap values ≥ 70 % and Bayesian posterior probabilities ≥ 0.95 are shown at the nodes and the scale bar indicates the number of expected mutations per site. Clades with 100 BML and 1 PP are indicated by thickened lines . The tree was rooted to Lophiostoma arundinis (AFTOL-ID 1606). T = ex-type strain; ET = epitype strain.
Fig. 3 in The antimicrobial potential from insect microbiomes of Streptomyces
Fig. 3 Bioactivity of insect-associated Streptomyces. a Fungal and b Gram-negative pathogens are significantly more inhibited by insect-associated isolates compared to soil- and plant-sourced Streptomyces (n = 1162, 186, and 178 for insect, soil, and plant, respectively; ***p <1e−3; **p <1e−2; t-test, BY correction). c Strains vary in antimicrobial bioactivity by insect host orders (n = 87, 69, 327, 518, 94, and 39 for Blattodea, Coleoptera, Diptera, Hymenoptera, Lepidoptera, and Orthoptera, respectively). a–c: center, median; box, upper and lower quantiles; notches, 95% confidence; whiskers, 1.5× interquartile range; points, outliers. d Hit rate for insect, soil, and plant strains against individual pathogens (n = 1162, 186, and 178 for insect, soil, and plant, respectively)
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OpenNeuro
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