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Keywords = Shigella flexneri

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17 pages, 1539 KiB  
Article
Repurposing Synthetic Acetaminophen Derivatives Containing a Benzothiazole Scaffold as an Alternative Therapy for Infectious Diarrhea Caused by Drug-Resistant Shigella Species
by Boniface Pone Kamdem, Brice Rostan Pinlap, Bijou-Lafortune Noumboue Kouamou, Aubin Youbi Kamche, Boris Arnaud Kuate, Joseph Tsemeugne, Orleans Ngomo, Pierre Mkounga and Fabrice Fekam Boyom
Future Pharmacol. 2024, 4(2), 420-436; https://doi.org/10.3390/futurepharmacol4020023 - 20 Jun 2024
Viewed by 187
Abstract
Diarrhea remains one of the leading causes of mortality worldwide, especially among children. Accumulated evidence has shown that Shigella species are the most prevalent bacteria responsible for diarrhea in developing countries. Antimicrobial therapy is necessary for Shigella infections; however, the development of resistance [...] Read more.
Diarrhea remains one of the leading causes of mortality worldwide, especially among children. Accumulated evidence has shown that Shigella species are the most prevalent bacteria responsible for diarrhea in developing countries. Antimicrobial therapy is necessary for Shigella infections; however, the development of resistance against current drugs justifies the pressing need to search for alternative medications. In this study, we have applied antibacterial phenotypic screening to identify potent anti-Shigella compounds across a broad chemical diversity, including selected acetaminophen derivatives containing a benzothiazole backbone, and their combination with certain antibiotics. As a result, two acetaminophen derivatives containing a benzothiazole backbone (4a and 4b) inhibited the growth of Shigella flexneri with a common MIC value of 12.5 µg/mL. These compounds were established through a time-kill kinetics study to be potentially bactericidal. Meanwhile, the 2-aminobenzothiazoles (1a and 1b) used for the synthesis of compounds 4 (a and b) were found to be poorly active (MIC: 100 µg/mL) against this pathogen. Combination studies of 4a and 4b with the least effective antibiotics (ceftriaxone and cotrimoxazole) demonstrated synergistic anti-Shigella activity with MIC values decreasing from 12.5 to 0.781 μg/ mL. The present study demonstrates that the azobenzothiazole dyes 4 (a and b) can be repurposed as potential anti-Shigella compounds, thus providing potential chemical pharmacophores for the discovery of drugs against infectious diarrhea caused by Shigella and other enteric pathogens, especially in developing countries. Full article
(This article belongs to the Special Issue Feature Papers in Future Pharmacology 2024)
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<p>Diagonal lines used to interpret isobolograms that characterize the drug combination.</p>
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<p>Bacterial time–kill curves of <span class="html-italic">S. flexneri</span> NR518 following incubation with compounds <b>4a</b> and <b>4b</b>. Data are presented as the mean ± standard deviation. The curves of the figure that are assigned to the stars are significantly different, (*) relates to <span class="html-italic">p</span> &lt; 0.05, (**) corelates with <span class="html-italic">p</span> &lt; 0.01 and (***) corresponds to <span class="html-italic">p</span> &lt; 0.001 (Dunnett test). <b>4a</b>: N-(2-(6-Ethoxy-5-((6-ethoxybenzo [d]thiazol-2-yl)diazenyl)benzo[d]thiazol-2-yl)diazenyl)-3-((6-ethoxy-5-((6-ethoxybenzo[d]thiazol-2-yl)diazenyl) benzo[d]thiazol-2-yl)diazenyl)-5,6-bis((6-ethoxybenzo[d]thiazol-2-yl)diazenyl)-4-hydroxyphenyl) acetamide hexahydrate; <b>4b</b>: N-(4-Hydroxy-3-((6-methoxybenzo[d]thiazol-2-yl) diazenyl)phenyl)acetamide hexahydrate; MIC: minimum inhibitory concentration; NC: negative control; PC: positive control (ciprofloxacin, 0.25 µg/mL).</p>
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<p>Isobologram representing the synergistic interaction between compound <b>4a</b> and ceftriaxone on <span class="html-italic">S. flexneri</span> NR518. FIC: fractional minimum inhibitory concentration.</p>
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<p>Chemical reactions leading to the formation of the diazonium intermediates <b>2</b>.</p>
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<p>Reaction sequences to obtain compounds <b>4a</b> and <b>4b</b>.</p>
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19 pages, 656 KiB  
Article
Mobile Colistin-Resistant Genes mcr-1, mcr-2, and mcr-3 Identified in Diarrheal Pathogens among Infants, Children, and Adults in Bangladesh: Implications for the Future
by Shafiuzzaman Sarker, Reeashat Muhit Neeloy, Marnusa Binte Habib, Umme Laila Urmi, Mamun Al Asad, Abu Syed Md. Mosaddek, Mohammad Rabiul Karim Khan, Shamsun Nahar, Brian Godman and Salequl Islam
Antibiotics 2024, 13(6), 534; https://doi.org/10.3390/antibiotics13060534 - 7 Jun 2024
Viewed by 712
Abstract
Colistin is a last-resort antimicrobial for treating multidrug-resistant Gram-negative bacteria. Phenotypic colistin resistance is highly associated with plasmid-mediated mobile colistin resistance (mcr) genes. mcr-bearing Enterobacteriaceae have been detected in many countries, with the emergence of colistin-resistant pathogens a global concern. [...] Read more.
Colistin is a last-resort antimicrobial for treating multidrug-resistant Gram-negative bacteria. Phenotypic colistin resistance is highly associated with plasmid-mediated mobile colistin resistance (mcr) genes. mcr-bearing Enterobacteriaceae have been detected in many countries, with the emergence of colistin-resistant pathogens a global concern. This study assessed the distribution of mcr-1, mcr-2, mcr-3, mcr-4, and mcr-5 genes with phenotypic colistin resistance in isolates from diarrheal infants and children in Bangladesh. Bacteria were identified using the API-20E biochemical panel and 16s rDNA gene sequencing. Polymerase chain reactions detected mcr gene variants in the isolates. Their susceptibilities to colistin were determined by agar dilution and E-test by minimal inhibitory concentration (MIC) measurements. Over 31.6% (71/225) of isolates showed colistin resistance according to agar dilution assessment (MIC > 2 μg/mL). Overall, 15.5% of isolates carried mcr genes (7, mcr-1; 17, mcr-2; 13, and mcr-3, with co-occurrence occurring in two isolates). Clinical breakout MIC values (≥4 μg/mL) were associated with 91.3% of mcr-positive isolates. The mcr-positive pathogens included twenty Escherichia spp., five Shigella flexneri, five Citrobacter spp., two Klebsiella pneumoniae, and three Pseudomonas parafulva. The mcr-genes appeared to be significantly associated with phenotypic colistin resistance phenomena (p = 0.000), with 100% colistin-resistant isolates showing MDR phenomena. The age and sex of patients showed no significant association with detected mcr variants. Overall, mcr-associated colistin-resistant bacteria have emerged in Bangladesh, which warrants further research to determine their spread and instigate activities to reduce resistance. Full article
12 pages, 883 KiB  
Article
Evaluation of In Vitro Synergistic Effects of Tetracycline with Alkaloid-Related Compounds against Diarrhoeic Bacteria
by Hayford Osei-Owusu, Johana Rondevaldova, Marketa Houdkova, Tomas Kudera, Tersia Needham, Anna Mascellani and Ladislav Kokoska
Int. J. Mol. Sci. 2024, 25(11), 6038; https://doi.org/10.3390/ijms25116038 - 30 May 2024
Viewed by 258
Abstract
Diarrhoea remains an important public health concern, particularly in developing countries, and has become difficult to treat because of antibacterial resistance. The development of synergistic antimicrobial agents appears to be a promising alternative treatment against diarrhoeic infections. In this study, the combined effect [...] Read more.
Diarrhoea remains an important public health concern, particularly in developing countries, and has become difficult to treat because of antibacterial resistance. The development of synergistic antimicrobial agents appears to be a promising alternative treatment against diarrhoeic infections. In this study, the combined effect of tetracycline together with either nitroxoline, sanguinarine, or zinc pyrithione (representing various classes of plant-based compounds) was evaluated in vitro against selected diarrhoeic bacteria (Enterococcus faecalis, Escherichia coli, Listeria monocytogenes, Shigella flexneri, Vibrio parahaemolyticus, and Yersinia enterocolitica). The chequerboard method in 96-well microtiter plates was used to determine the sum of the fractional inhibitory concentration indices (FICIs). Three independent experiments were performed per combination, each in triplicate. It was observed that the combination of tetracycline with either nitroxoline, sanguinarine, or zinc pyrithione produced synergistic effects against most of the pathogenic bacteria tested, with FICI values ranging from 0.086 to 0.5. Tetracycline–nitroxoline combinations produced the greatest synergistic action against S. flexneri at a FICI value of 0.086. The combinations of the agents tested in this study can thus be used for the development of new anti-diarrhoeic medications. However, studies focusing on their in vivo anti-diarrhoeic activity and safety are required before any consideration for utilization in human medicine. Full article
(This article belongs to the Special Issue Antibacterial and Antioxidant Effects of Plant-Sourced Compounds)
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<p>Isobolograms of the synergistic interactions for combination of tetracycline (TET) with nitroxoline (NTX) against <span class="html-italic">Escherichia coli</span> (<b>A</b>), <span class="html-italic">Listeria monocytogenes</span> (<b>B</b>), <span class="html-italic">Shigella flexneri</span> (<b>C</b>), and <span class="html-italic">Yersinia enterocolitica</span> (<b>D</b>); for combination of sanguinarine (SGN) against <span class="html-italic">Enterococcus faecalis</span> (<b>E</b>) and <span class="html-italic">L. monocytogenes</span> (<b>F</b>); and for combination of TET with zinc pyrithione (ZPT) against <span class="html-italic">E. coli</span> (<b>G</b>), <span class="html-italic">S. flexneri</span> (<b>H</b>), <span class="html-italic">Vibrio parahaemolyticus</span> (<b>I</b>), and <span class="html-italic">Y. enterocolitica</span> (<b>J</b>). <span class="html-italic">E. coli</span> (<span style="color:#00B050">▲</span>), <span class="html-italic">E. faecalis</span> (<span style="color:#FFC000">■</span>), <span class="html-italic">L. monocytogenes</span> (<span style="color:#FF0000">♦</span>), <span class="html-italic">S. flexneri</span> (<span style="color:#7030A0">●</span>), <span class="html-italic">V. parahaemolyticus</span> (<span style="color:#0811BC">+</span>), and <span class="html-italic">Y. enterocolitica</span> (<span style="color:#C00000">x</span>); border for synergy (<span style="color:#00B0F0">---</span>) calculated for ∑FIC ≤ 0.5.</p>
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14 pages, 2576 KiB  
Article
Antibacterial, Trichomonacidal, and Cytotoxic Activities of Pleopeltis crassinervata Extracts
by Jhony Anacleto-Santos, Elisa Vega-Ávila, Leticia Pacheco, Manuel Lacueva-Arnedo, Alicia Gómez-Barrio, Alexandra Ibáñez-Escribano, Teresa de Jesús López-Pérez, Brenda Casarrubias-Tabarez, Fernando Calzada, Perla Yolanda López-Camacho and Norma Rivera-Fernández
Pharmaceutics 2024, 16(5), 624; https://doi.org/10.3390/pharmaceutics16050624 - 7 May 2024
Viewed by 666
Abstract
Pleopeltis crassinervata is a fern documented in ethnobotanical records for its use in Mexican traditional medicine to treat gastric disorders and mouth ulcers. Consequently, conducting biological and pharmacological assays is crucial to validate the therapeutic efficacy of this plant within the context of [...] Read more.
Pleopeltis crassinervata is a fern documented in ethnobotanical records for its use in Mexican traditional medicine to treat gastric disorders and mouth ulcers. Consequently, conducting biological and pharmacological assays is crucial to validate the therapeutic efficacy of this plant within the context of traditional medicine. In the present study, we investigated the biological activity of extracts and fractions obtained from P. crassinervata organs against bacteria (Salmonella typhimurium, Salmonella typhi, Staphylococcus aureus, Proteus mirabilis, Shigella flexneri, Bacillus subtilis, Escherichia coli) and Trichomonas vaginalis using in vitro models. The precipitate fraction obtained from the frond methanolic extract showed significant antibacterial activity (minimal inhibitory concentration [MIC] 120 µg/mL) against the Staphylococcus aureus strain and was effective against both Gram-positive and Gram-negative bacteria. The hexane fraction also obtained from frond methanolic extract, showed a trichomonacidal effect with an IC50 of 82.8 μg/mL and a low cytotoxic effect. Hsf6 exhibited the highest activity against T. vaginalis, and the GC-MS analysis revealed that the predominant compound was 16-pregnenolone. The remaining identified compounds were primarily terpene-type compounds. Full article
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<p><span class="html-italic">T. vaginalis</span> trophozoites after 24 h exposure to <span class="html-italic">P. crassinervata</span> subfractions. Negative control: DMSO at a maximum concentration of 0.1%.</p>
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<p>Toxicity percentage in Vero cell cultures exposed to Hsf5 and Hsf6 for 24 h at a concentration range of 25–800 µg/mL for growth control. A control with 0.1% DMSO was included, showing 0% toxicity.</p>
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<p>In vitro trichomonacidal activity percentage in the axenic cultures of <span class="html-italic">T. vaginalis</span> exposed to mixtures of Hsf5 and Hsf6 for 24 h while maintaining the IC<sub>50</sub> of one Hsf constant in each assessment. Growth control (no-treatment) and 0.1% DMSO control were included, exhibiting 0% activity.</p>
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<p>Chromatogram of Hsf6 obtained after gas–mass chromatography (GC-MS) analysis for 1 h. Each peak corresponds to the spectrum of each compound; 15 peaks were detected.</p>
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<p>Chemical structures of eight compounds from the hexane subfraction 6 (Hsf6) with biological activity reported. (<b>A</b>) α-Cadinol; (<b>B</b>) 2-pentadecanone-6,10,14-trimethyl-; (<b>C</b>) dibutylphthalate; (<b>D</b>) β-sitosterol acetate; (<b>E</b>) 7-dehydrodiosgenin; (<b>F</b>) 3-(1,5-dimethyl-hexyl)-3a,10,10,12b-tetramethyl-1,2,3,3a,4,6,8,9,10,10a,11,12,12a,12b-tetradecahydro-benzo[4,5]cyclohepta[1,2-E]indene; (<b>G</b>) stigmasta-3,5-dien-7-one; (<b>H</b>) pregn-16-en-20-one, 3-hydroxy-, [3β,5β]. Structures of alkanes and alkenes without reported biological activity were excluded.</p>
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13 pages, 1648 KiB  
Article
The Tomato Variety Affects the Survival of Shigella flexneri 2a in Fruit Pericarp
by Tania Henriquez, Simona Guerra, Marta Nerini, Diane Purchase and Massimiliano Marvasi
Pathogens 2024, 13(5), 379; https://doi.org/10.3390/pathogens13050379 - 1 May 2024
Viewed by 786
Abstract
The presence of enteric pathogens in produce can serve as a significant means of transmitting infections to consumers. Notably, tomatoes, as a type of produce, have been implicated in outbreaks caused by various human pathogens, such as Salmonella enterica and pathogenic Escherichia coli. [...] Read more.
The presence of enteric pathogens in produce can serve as a significant means of transmitting infections to consumers. Notably, tomatoes, as a type of produce, have been implicated in outbreaks caused by various human pathogens, such as Salmonella enterica and pathogenic Escherichia coli. However, the survival characteristics of Shigella spp. in tomatoes have not been thoroughly investigated. In this study, we assess the survival of S. flexneri 2a in two distinct varieties of post-harvested tomatoes. S. flexneri 2a was used to inoculate both regular-sized Vine tomatoes and cherry-type Mini Plum tomatoes. Our findings reveal no significant difference in Shigella survival in the pericarp of both varieties on day 2 post-inoculation. However, a significant disparity emerges on day 6, where all recovered Shigella colonies exclusively belong to the Mini Plum variety, with none associated with the Vine type. When Shigella was inoculated into the locular cavity (deep inoculation), no significant difference between varieties was observed. Additionally, we investigate the potential role of the SRL pathogenicity island (SRL PAI) in the survival and fitness of S. flexneri 2a in post-harvested tomatoes. Our results indicate that while the SRL PAI is not linked to the survival of the strains in tomato, it does impact their fitness. These findings underscore the variability in Shigella strains’ survival capabilities depending on the tomato variety, highlighting the importance of understanding Shigella ecology beyond the human host and identifying molecular determinants influencing bacterial survival to mitigate the risk of future outbreaks. The significance of this data on Shigella persistence in fresh vegetables should not be underestimated, as even a small number of Shigella cells can pose a threat to the health of individuals. Full article
(This article belongs to the Section Bacterial Pathogens)
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<p>A schematic illustration of the procedure for the analysis of the persistence of <span class="html-italic">Shigella</span> strains in post-harvested tomato fruits. Mini Plum and Vine tomato varieties were used to inoculate <span class="html-italic">S. flexneri</span> 2a strains using pericarp or locular cavity inoculation. After 2 or 6 days of incubation at 25 °C (in this figure) but also 4 °C and 37° were tested. The tomatoes were macerated in a bag using a stomacher, and a serial dilution of the resulting suspension was plated in a media selective for <span class="html-italic">Shigella</span> isolation (Hektoen or XLD). Created with BioRender.com.</p>
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<p><span class="html-italic">Shigella</span> proliferation in tomato varieties Vine and Plum at different days and different temperatures. Circles represent biological replicas. Horizontal line is average of increase in proliferation. Error bars are standard error. (** <span class="html-italic">p</span> &lt; 0.0021). ns: not significant.</p>
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<p>Temperature-dependent <span class="html-italic">Shigella</span> proliferation in tomato varieties Vine and Plum. Circles represent biological replicas. Horizontal line is average of increase in proliferation. Error bars are standard error. (* <span class="html-italic">p</span> = 0.0332); (*** <span class="html-italic">p</span> = 0.0002); (**** <span class="html-italic">p</span> &lt; 0.0001). ns: not significant.</p>
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<p>Overall <span class="html-italic">Shigella</span> proliferation in tomato varieties Vine and Plum. Circles represent biological replicas. Horizontal line is average of increase in proliferation. Error bars are standard error.</p>
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<p>The role of the SRL PAI in the fitness of <span class="html-italic">S. flexneri</span> 2a strains in tomato fruits. The fitness test <span class="html-italic">S. flexneri</span> 2a YSH6000 (marked with the tetracycline-resistance cassette) was co-infected in a 1:1 ratio with <span class="html-italic">S. flexneri</span> 2a 1363 into the pericarp. The ratios of the wild type/mutant in the inoculum and in the recovered tomatoes were estimated by patching on selective media after 48 h of incubation. Values above 0 indicate that <span class="html-italic">S. flexneri</span> YSH6000 is outcompeting the mutant strain (or surviving longer). On the other hand, values below 0 indicate that <span class="html-italic">S. flexneri</span> 2a 1363 is outcompeting the wild type (or surviving longer). When the value is close to 0, no advantage in terms of fitness is measured. Dashed lines estimate a cut-off beyond which changes in competitive fitness are biologically significant. The box-plots encompass the lower and upper quartiles, thick lines within the box are the median values and the whiskers indicate the degree of dispersion of the data. (* <span class="html-italic">p</span> &lt; 0.05). Outliers are shown as dots.</p>
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20 pages, 9595 KiB  
Article
Antimicrobial Activity of Bacillus amyloliquefaciens BS4 against Gram-Negative Pathogenic Bacteria
by Ana Paula Palacios-Rodriguez, Abraham Espinoza-Culupú, Yerson Durán and Tito Sánchez-Rojas
Antibiotics 2024, 13(4), 304; https://doi.org/10.3390/antibiotics13040304 - 28 Mar 2024
Viewed by 1427
Abstract
Worldwide, bacterial resistance is one of the most severe public health problems. Currently, the failure of antibiotics to counteract superbugs highlights the need to search for new molecules with antimicrobial potential to combat them. The objective of this research was to evaluate the [...] Read more.
Worldwide, bacterial resistance is one of the most severe public health problems. Currently, the failure of antibiotics to counteract superbugs highlights the need to search for new molecules with antimicrobial potential to combat them. The objective of this research was to evaluate the antimicrobial activity of Bacillus amyloliquefaciens BS4 against Gram-negative bacteria. Thirty yeasts and thirty-two Bacillus isolates were tested following the agar well-diffusion method. Four Bacillus sp. strains (BS3, BS4, BS17, and BS21) showed antagonistic activity against E. coli ATCC 25922 using bacterial culture (BC) and the cell-free supernatant (CFS), where the BS4 strain stood out, showing inhibitory values of 20.50 ± 0.70 mm and 19.67 ± 0.58 mm for BC and CFS, respectively. The Bacillus sp. BS4 strain can produce antioxidant, non-hemolytic, and antimicrobial metabolites that exhibit activity against several microorganisms such as Salmonella enterica, Klebsiella pneumoniae, Shigella flexneri, Enterobacter aerogenes, Proteus vulgaris, Yersinia enterocolitica, Serratia marcescens, Aeromonas sp., Pseudomonas aeruginosa, Candida albicans, and Candida tropicalis. According to the characterization of the supernatant, the metabolites could be proteinaceous. The production of these metabolites is influenced by carbon and nitrogen sources. The most suitable medium to produce antimicrobial metabolites was TSB broth. The one-factor-at-a-time method was used to standardize parameters such as pH, agitation, temperature, carbon source, nitrogen source, and salts, resulting in the best conditions of pH 7, 150 rpm, 28 °C, starch (2.5 g/L), tryptone (20 g/L), and magnesium sulfate (0.2 g/L), respectively. Moreover, the co-culture was an excellent strategy to improve antimicrobial activity, achieving maximum antimicrobial activity with an inhibition zone of 21.85 ± 1.03 mm. These findings position the Bacillus amyloliquefaciens BS4 strain as a promising candidate for producing bioactive molecules with potential applications in human health. Full article
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Graphical abstract
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<p>Phenotypic characterization of the <span class="html-italic">Bacillus</span> sp. BS4 strain: (<b>a</b>) strain growth on TSA agar at 24 h reveals irregular size and shape, with a raised, butyrous appearance and mucoid consistency, observed using a stereomicroscope with 10× magnification; and (<b>b</b>) Gram stain (100× magnification).</p>
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<p>Effect of agitation, pH, and temperature on antimicrobial metabolite production of the BS4 strain against <span class="html-italic">E. coli</span> ATCC 25922.</p>
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<p>Effects of various carbon sources on antimicrobial activity of the <span class="html-italic">Bacillus</span> sp. BS4 strain. (<b>a</b>) Bar graph represents the effect of carbon sources and (<b>b</b>) Inhibition zones of CFS. Distinct letters represent statistically significant differences between treatments based on the LSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of various nitrogen sources on antimicrobial activity of the <span class="html-italic">Bacillus</span> sp. BS4 strain. (<b>a</b>) Bar graph represents the effect of nitrogen sources and (<b>b</b>) Inhibition zones of CFS Distinct letters represent statistically significant differences between treatments based on the LSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of various mineral salts on antimicrobial activity of the <span class="html-italic">Bacillus</span> sp. BS4 strain. (<b>a</b>) Bar graph represents the effect of mineral salts sources and (<b>b</b>) Inhibition zones of CFS. Distinct letters represent statistically significant differences between treatments based on the LSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Comparison of the growth kinetics of the BS4 strain in TSB (<span class="html-fig-inline" id="antibiotics-13-00304-i001"><img alt="Antibiotics 13 00304 i001" src="/antibiotics/antibiotics-13-00304/article_deploy/html/images/antibiotics-13-00304-i001.png"/></span>) and MOD broth (<span class="html-fig-inline" id="antibiotics-13-00304-i002"><img alt="Antibiotics 13 00304 i002" src="/antibiotics/antibiotics-13-00304/article_deploy/html/images/antibiotics-13-00304-i002.png"/></span>). The error bars in the figure indicate the standard deviations from three replicates.</p>
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<p>Comparisons of the antimicrobial activity of the BS4 strain in TSB broth and MOD broth. Distinct letters represent statistically significant differences between treatments based on the LSD test where ns, not significant; a, <span class="html-italic">p</span> &lt; 0.05; b, <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Evaluation of antioxidant (<b>a</b>) and anti-hemolytic (<b>b</b>) activity of the <span class="html-italic">Bacillus</span> sp. BS4 strain. FC, entire fraction of cell-free supernatant; F3K, 3 kDa fraction; MC, culture medium; T, Trolox; ABTS, solution of ABTS<sup>+</sup> (2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid).</p>
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<p>MIC of different Gram-negative bacteria in the presence of different concentrations of CFS. These data represent the mean (±SEM) of three independent experiments (bs, bronchial secretion; ci, clinical isolation).</p>
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<p>Phylogenetic relationship of strains BS3 and BS4 (Δ) with the type strains of the <span class="html-italic">Bacillus</span> genus. Sequences were aligned using MUSCLE (MEGA software version 11), and phylogenetic inferences were obtained using neighbor joining with 1000 bootstrap replicates in MEGA 11. <span class="html-italic">Brevibacillus laterosporus</span> DSM25T (AB112720) and <span class="html-italic">Alicyclobacillus acidocaldarius</span> (AB089859) were used as outgroups. Scale bar = 1% nucleotide sequence divergence.</p>
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19 pages, 2848 KiB  
Article
Anti-Shigellosis Activity and Mechanisms of Action of Extracts from Diospyros gilletii Stem Bark
by Audrey Carrel Nguelo Talla, Eugénie Aimée Madiesse Kemgne, Vincent Ngouana, Bijou-Lafortune Noumboue Kouamou, Listone Monelle Nzeye Ngameni, Brice Rostan Pinlap, Yanick Kevin Dongmo Melogmo, Branly-Natalien Nguena-Dongue, Boniface Pone Kamdem, Paul Keilah Lunga and Fabrice Fekam Boyom
Drugs Drug Candidates 2024, 3(1), 256-274; https://doi.org/10.3390/ddc3010015 - 1 Mar 2024
Viewed by 946
Abstract
Shigellosis is a pathological condition that affects the digestive system and possibly causes diarrhoea. Shigella species, which are responsible for this disease, are highly contagious and spread through contaminated food and water. The increasing development of resistance by Shigella species necessitates the urgent [...] Read more.
Shigellosis is a pathological condition that affects the digestive system and possibly causes diarrhoea. Shigella species, which are responsible for this disease, are highly contagious and spread through contaminated food and water. The increasing development of resistance by Shigella species necessitates the urgent need to search for new therapies against diarrhoea-causing shigellosis. The scientific validation of medicinal plants, such as Diospyros gilletii, which is used for the traditional treatment of diarrhoeal conditions is worthwhile. The present study aims to investigate the antibacterial activity of extracts from D. gilletii against selected Shigella species. Extracts from D. gilletii stem bark were prepared by maceration using various solvents. The antibacterial activity of D. gilletii extracts was evaluated in Shigella dysenteriae, S. flexneri, S. boydii, and S. sonnei using a microdilution method, whereas a cytotoxicity test was performed on Vero and Raw cells using resazurin-based colorimetric assays. Bacterial membrane-permeability studies were evaluated using propidium iodide (PI)- and 1-N-phenyl-naphthylamine (NPN)-uptake assays, whereas inhibition and eradication tests on bacterial biofilms were carried out by spectrophotometry. As a result, methanol, ethanol and hydroethanol (water: ethanol; 30:70, v/v) extracts of D. gilletii inhibited the growth of S. boydii, S. flexneri and S. sonnei, with minimum inhibitory concentration (MIC) values ranging from 125 to 500 µg/mL, without toxicity to Vero and Raw cells. Time-kill kinetics revealed bactericidal orientation at 2 MIC and 4 MIC and a bacteriostatic outcome at 1/2 MIC. The mechanistic basis of antibacterial action revealed that D. gilletii extracts inhibited and eradicated Shigella biofilms and promoted the accumulation of NPN and PI within the inner and outer membranes of bacteria to increase membrane permeability, thereby causing membrane damage. This novel contribution toward the antibacterial mechanisms of action of D. gilletii extracts against Shigella species substantiates the use of this plant in the traditional treatment of infectious diarrhoea. Full article
(This article belongs to the Section Drug Candidates from Natural Sources)
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Figure 1

Figure 1
<p>Effects of DGs <span class="html-italic">Diospyros gilletii</span> methanolic extracts on the growth kinetics of <span class="html-italic">S. boydii</span>, <span class="html-italic">S. flexneri</span>, and <span class="html-italic">S. sonnei</span>. DGsM: Methanol extract of <span class="html-italic">Diospyros gilletii</span>; MIC: Minimum inhibitory concentration; CP: Ciprofloxacin; NC: Negative control; <span class="html-italic">S. boydii</span>: <span class="html-italic">Shigella boydii</span>; <span class="html-italic">S. flexneri</span>: <span class="html-italic">Shigella flexneri</span>; <span class="html-italic">S. sonnei</span>: <span class="html-italic">Shigella sonnei</span>; Data are represented as mean ± standard deviation; <span class="html-italic">p</span> ˂ 0.05 (*), <span class="html-italic">p</span> ≤ 0.001 (***), <span class="html-italic">p</span> ≤ 0.0001 (****); Significant difference compared with negative control (Dunnett’s test).</p>
Full article ">Figure 1 Cont.
<p>Effects of DGs <span class="html-italic">Diospyros gilletii</span> methanolic extracts on the growth kinetics of <span class="html-italic">S. boydii</span>, <span class="html-italic">S. flexneri</span>, and <span class="html-italic">S. sonnei</span>. DGsM: Methanol extract of <span class="html-italic">Diospyros gilletii</span>; MIC: Minimum inhibitory concentration; CP: Ciprofloxacin; NC: Negative control; <span class="html-italic">S. boydii</span>: <span class="html-italic">Shigella boydii</span>; <span class="html-italic">S. flexneri</span>: <span class="html-italic">Shigella flexneri</span>; <span class="html-italic">S. sonnei</span>: <span class="html-italic">Shigella sonnei</span>; Data are represented as mean ± standard deviation; <span class="html-italic">p</span> ˂ 0.05 (*), <span class="html-italic">p</span> ≤ 0.001 (***), <span class="html-italic">p</span> ≤ 0.0001 (****); Significant difference compared with negative control (Dunnett’s test).</p>
Full article ">Figure 2
<p>Effects of <span class="html-italic">Diospyros gilletii</span> ethanolic extracts on the growth kinetics of <span class="html-italic">S. boydii</span>, <span class="html-italic">S. flexneri</span>, and <span class="html-italic">S. sonnei</span>. DGsE: Ethanol extract of <span class="html-italic">Diospyros gilletii</span>; MIC: Minimum inhibitory concentration; CP: Ciprofloxacin; NC: Negative control; <span class="html-italic">S. boydii</span>: <span class="html-italic">Shigella boydii</span>; <span class="html-italic">S. flexneri</span>: <span class="html-italic">Shigella flexneri</span>; <span class="html-italic">S. sonnei</span>: <span class="html-italic">Shigella sonnei</span>. Data are represented as mean ± standard deviation; <span class="html-italic">p</span> ˂ 0.05 (*), <span class="html-italic">p</span> ≤ 0.001 (***), <span class="html-italic">p</span> ≤ 0.0001 (****); Significant difference compared with negative control (Dunnett’s test).</p>
Full article ">Figure 3
<p>Effects of the hydroethanol extract of <span class="html-italic">Diospyros gilletii</span> on the growth kinetics of <span class="html-italic">S. boydii</span>, <span class="html-italic">S. flexneri</span> and <span class="html-italic">S. sonnei</span>. DGsHE: Hydroethanol extract of <span class="html-italic">Diospyros gilletii</span>; MIC: Minimum inhibitory concentration; CP: Ciprofloxacin; NC: Negative control; <span class="html-italic">S. boydii</span>: <span class="html-italic">Shigella boydii</span>; <span class="html-italic">S. flexneri</span>: <span class="html-italic">Shigella flexneri</span>; <span class="html-italic">S. sonnei</span>: <span class="html-italic">Shigella sonnei</span>. Data are represented as mean ± standard deviation; <span class="html-italic">p</span> ≤ 0.01 (**), <span class="html-italic">p</span> ≤ 0.001 (***), <span class="html-italic">p</span> ≤ 0.0001 (****); Significant difference compared with negative control (Dunnett’s test).</p>
Full article ">Figure 4
<p>Effect of various concentrations of methanol (<b>A</b>), ethanol (<b>B</b>) and hydroethanol (<b>C</b>), and extracts on the uptake of N-phenyl-naphthylamine by <span class="html-italic">S. boydii</span>, <span class="html-italic">S. flexneri</span>, and <span class="html-italic">S. sonnei</span>. DGsE: Ethanol extract of <span class="html-italic">Diospyros gilletii</span>; DGsHE: Hydroethanol extract of <span class="html-italic">Diospyros gilletii</span>; DGsM: Methanol extract of <span class="html-italic">Diospyros gilletii</span>; EDTA: Ethylene diamine tetraacetic acid; MIC: Minimum inhibitory concentration; NC: Negative control; CP: Ciprofloxacin; <span class="html-italic">S. boydii</span>: <span class="html-italic">Shigella boydii</span>; <span class="html-italic">S. flexneri</span>: <span class="html-italic">Shigella flexneri</span>; <span class="html-italic">S. sonnei</span>: <span class="html-italic">Shigella sonnei.</span> Data are represented as mean ± standard deviation; <span class="html-italic">p</span> ˂ 0.05 (*), <span class="html-italic">p</span> ≤ 0.01 (**), <span class="html-italic">p</span> ≤ 0.001 (***), <span class="html-italic">p</span> ≤ 0.0001 (****); Significant difference compared with negative control (Dunnett’s test).</p>
Full article ">Figure 5
<p>Effect of various concentrations of methanol (<b>A</b>), ethanol (<b>B</b>) and hydroethanol (<b>C</b>), and extracts on the uptake of propidium iodide by <span class="html-italic">S. boydii</span>, <span class="html-italic">S. flexneri</span>, and <span class="html-italic">S. sonnei</span>. DGsE: Ethanol extract of <span class="html-italic">Diospyros gilletii</span>; DGsHE: Hydroethanol extract of <span class="html-italic">Diospyros gilletii</span>; DGsM: Methanol extract of <span class="html-italic">Diospyros gilletii</span>; MIC: Minimum inhibitory concentration; NC: Negative control; CP: Ciprofloxacin; <span class="html-italic">S. boydii</span>: <span class="html-italic">Shigella boydii</span>; <span class="html-italic">S. flexneri</span>: <span class="html-italic">Shigella flexneri</span>; <span class="html-italic">S. sonnei</span>: <span class="html-italic">Shigella sonnei</span>. Data are represented as mean ± standard deviation; <span class="html-italic">p</span> ˂ 0.05 (*), <span class="html-italic">p</span> ≤ 0.01 (**), <span class="html-italic">p</span> ≤ 0.001 (***), <span class="html-italic">p</span> ≤ 0.0001 (****); Significant difference compared with negative control (Dunnett’s test).</p>
Full article ">Figure 6
<p>Inhibition of biofilms from <span class="html-italic">S. boydii</span> (<b>A</b>) and <span class="html-italic">S. sonnei</span> (<b>B</b>) by methanol, ethanol and hydroethanol extracts. DGsM: Methanol extract of <span class="html-italic">Diospyros gilletii</span>; DGsE: Ethanol extract of <span class="html-italic">Diospyros gilletii</span>; DGsHE: Hydroethanol extract of <span class="html-italic">Diospyros gilletii</span>; MIC: Minimum inhibitory concentration. Data are represented as mean ± standard deviation. <sup>a</sup> <span class="html-italic">p</span> ≤ 0.05, <sup>b</sup> <span class="html-italic">p</span> ≤ 0.01, <sup>c</sup> <span class="html-italic">p</span> ≤ 0.001, <sup>d</sup> and <sup>e</sup>: The values are not significantly different (<span class="html-italic">p</span> &gt; 0.05) (Dunnett’s test); Values are significantly different compared to the value of negative control (no biofilm inhibition).</p>
Full article ">Figure 7
<p>Eradication of biofilms formed by <span class="html-italic">S. boydii</span> (<b>A</b>) and <span class="html-italic">S. sonnei</span> (<b>B</b>) using methanol, ethanol and hydroethanol extracts. DGsM: Methanol extract of <span class="html-italic">Diospyros gilletii</span>; DGsE: Ethanol extract of <span class="html-italic">Diospyros gilletii</span>; DGsHE: Hydroethanol extract of <span class="html-italic">Diospyros gilletii</span>; MIC: Minimum inhibitory concentration. Data are represented as mean ± standard deviation. <sup>a</sup> <span class="html-italic">p</span> ≤ 0.05, <sup>b</sup> <span class="html-italic">p</span> ≤ 0.01, <sup>c</sup> <span class="html-italic">p</span> ≤ 0.001, <sup>d</sup>: The values are not significantly different (<span class="html-italic">p</span> &gt; 0.05) (Dunnett’s test); Values are significantly different compared to the value of negative control (no biofilm eradication).</p>
Full article ">Figure 8
<p>Photograph of <span class="html-italic">Diospyros gilletii</span> growing in Badounga village, Tonga sub-division, West Region, Cameroon (picture by B.-L.M.K.).</p>
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8 pages, 522 KiB  
Article
Chemical Composition of the Essential Oils from Goniothalamus tortilipetalus M.R.Hend. and Their Antioxidant and Antibacterial Activities
by Aknarin Anatachodwanit, Phunrawie Promnart, Suwanna Deachathai, Tharakorn Maneerat, Rawiwan Charoensup, Thidarat Duangyod and Surat Laphookhieo
Chemistry 2024, 6(2), 264-271; https://doi.org/10.3390/chemistry6020013 - 23 Feb 2024
Viewed by 1260
Abstract
This work was the first investigation of the essential oil composition of Goniothalamus tortilipetalus M.R.Hend. The aim of this study is to investigate the essential oil composition extracted from different parts of Goniothalamus tortilipetalus M.R.Hend., including flowers, leaves, and twigs, and to evaluate [...] Read more.
This work was the first investigation of the essential oil composition of Goniothalamus tortilipetalus M.R.Hend. The aim of this study is to investigate the essential oil composition extracted from different parts of Goniothalamus tortilipetalus M.R.Hend., including flowers, leaves, and twigs, and to evaluate their antioxidant and antibacterial activities. The Clevenger apparatus was used for hydrodistillation to prepare the essential oils. The essential oils were investigated using gas chromatography–mass spectrometry (GC-MS). The three major compounds of the flowers were bicyclogermacrene (15.81%), selin-11-en-4-α-ol (14.68%), and E-caryophyllene (7.02%), whereas the leaves were p-cymene (39.57%), ascaridole (9.39%), and α-copaene (9.12%). In the case of the twigs, α-copaene (10.34%), selin-11-en-4-α-ol (8.85%), and p-cymene (7.76%) were the major compounds. The flower essential oil showed antioxidant activities with IC50 values of 725.21 µg/mL and 123.06 µg/mL for DPPH and ABTS assays, respectively. The flower essential oil also displayed antibacterial activity against Bacillus subtilis, Staphylococcus aureus, Micrococcus luteus, Salmonella typhimurium, and Shigella flexneri, with the same MIC value of 640 µg/mL. Full article
(This article belongs to the Section Biological and Natural Products)
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Figure 1
<p>GC–MS chromatogram of flower, leaf, and twig essential oils from <span class="html-italic">G. tortilipetalus</span>.</p>
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24 pages, 429 KiB  
Review
Animal and In Vitro Models as Powerful Tools to Decipher the Effects of Enteric Pathogens on the Human Gut Microbiota
by Marco Calvigioni, Diletta Mazzantini, Francesco Celandroni and Emilia Ghelardi
Microorganisms 2024, 12(1), 67; https://doi.org/10.3390/microorganisms12010067 - 29 Dec 2023
Cited by 1 | Viewed by 2843
Abstract
Examining the interplay between intestinal pathogens and the gut microbiota is crucial to fully comprehend the pathogenic role of enteropathogens and their broader impact on human health. Valid alternatives to human studies have been introduced in laboratory practice to evaluate the effects of [...] Read more.
Examining the interplay between intestinal pathogens and the gut microbiota is crucial to fully comprehend the pathogenic role of enteropathogens and their broader impact on human health. Valid alternatives to human studies have been introduced in laboratory practice to evaluate the effects of infectious agents on the gut microbiota, thereby exploring their translational implications in intestinal functionality and overall health. Different animal species are currently used as valuable models for intestinal infections. In addition, considering the recent advances in bioengineering, futuristic in vitro models resembling the intestinal environment are also available for this purpose. In this review, the impact of the main human enteropathogens (i.e., Clostridioides difficile, Campylobacter jejuni, diarrheagenic Escherichia coli, non-typhoidal Salmonella enterica, Shigella flexneri and Shigella sonnei, Vibrio cholerae, and Bacillus cereus) on intestinal microbial communities is summarized, with specific emphasis on results derived from investigations employing animal and in vitro models. Full article
(This article belongs to the Special Issue Novel Strategies in the Study of the Human Gut Microbiota)
215 KiB  
Proceeding Paper
Exploring the Sit-and-Wait Potential of the Bacterial Pathogen Shigella flexneri: A Comparative Genomic Study
by Bin Gu, Jun-Jiao Wang, Xin-Lei Huang, Quan Yuan, Khashayar Shahin, Huan Yang, Fen Li and Liang Wang
Biol. Life Sci. Forum 2024, 31(1), 21; https://doi.org/10.3390/ECM2023-16484 - 30 Nov 2023
Viewed by 246
Abstract
The sit-and-wait hypothesis predicts that bacterial durability in the external environment is positively correlated with the evolution of bacterial virulence. Many bacterial pathogens have been recognized as potential sit-and-wait pathogens due to their long-term environmental survival (high durability) and high host mortality (high [...] Read more.
The sit-and-wait hypothesis predicts that bacterial durability in the external environment is positively correlated with the evolution of bacterial virulence. Many bacterial pathogens have been recognized as potential sit-and-wait pathogens due to their long-term environmental survival (high durability) and high host mortality (high virulence), such as Acinetobacter baumannii, Burkholderia pseudomallei, Mycobacterium tuberculosis, etc. Shigella flexneri is a leading etiologic agent of diarrhea in China with long-term environmental survival capacity, high infection rates, and severe clinical consequences. It has multiple transmission routes like contaminated food (the food-borne route), insanitary water (the water-borne route), and direct person-to-person contacts, etc. These features make Shigella flexneri an ideal candidate for sit-and-wait bacterial pathogens. However, there is currently a lack of evidence to support the claim. In this study, we examine the potential of S. flexneri as a sit-and-wait pathogen via comparative genomic analysis, which reveals the unique features of Shigella flexneri in abiotic stress resistance, energy metabolism, and virulence factors and confirms that S. flexneri is a highly potential sit-and-wait bacterial pathogen. Full article
(This article belongs to the Proceedings of The 2nd International Electronic Conference on Microbiology)
13 pages, 3122 KiB  
Article
Refining Immunogenicity through Intradermal Delivery of Outer Membrane Vesicles against Shigella flexneri in Mice
by Yadira Pastor, Alba Calvo, Josune Salvador-Erro and Carlos Gamazo
Int. J. Mol. Sci. 2023, 24(23), 16910; https://doi.org/10.3390/ijms242316910 - 29 Nov 2023
Viewed by 892
Abstract
Shigellosis remains a global health concern, especially in low- and middle-income countries. Despite improvements in sanitation, the absence of a licensed vaccine for human use has prompted global health organizations to support the development of a safe and effective multivalent vaccine that is [...] Read more.
Shigellosis remains a global health concern, especially in low- and middle-income countries. Despite improvements in sanitation, the absence of a licensed vaccine for human use has prompted global health organizations to support the development of a safe and effective multivalent vaccine that is cost-effective and accessible for limited-resource regions. Outer Membrane Vesicles (OMVs) have emerged in recent years as an alternative to live attenuated or whole-inactivated vaccines due to their immunogenicity and self-adjuvating properties. Previous works have demonstrated the safety and protective capacity of OMVs against Shigella flexneri infection in mouse models when administered through mucosal or intradermal routes. However, some immunological properties, such as the cellular response or cross-protection among different Shigella strains, remained unexplored. In this study, we demonstrate that intradermal immunization of OMVs with needle-free devices recruits a high number of immune cells in the dermis, leading to a robust cellular response marked by antigen-specific cytokine release and activation of effector CD4 T cells. Additionally, functional antibodies are generated, neutralizing various Shigella serotypes, suggesting cross-protective capacity. These findings highlight the potential of OMVs as a promising vaccine platform against shigellosis and support intradermal administration as a simple and painless vaccination strategy to address this health challenge. Full article
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Figure 1

Figure 1
<p><b>Histological and immunohistochemical images of dorsal skin sections at 2 and 24 h after HT-<span class="html-italic">ΔtolR</span>-intradermal immunization.</b> Hematoxylin-eosin staining (<b>a</b>) and antigen-specific immunohistochemical staining (<b>b</b>) of skin sections of a representative female mouse at 2 (<b>left</b>) and 24 h (<b>right</b>) post-HT-<span class="html-italic">ΔtolR</span>-immunization. Specific staining was performed with the Dako EnVision™ antibody complex, followed by incubation with sera from rabbits hyperimmunized with <span class="html-italic">Shigella flexneri,</span> and finally incubated with polyclonal goat anti-rabbit IgG. Arrows indicate the recruitment of immune cells, while boxes represent the sections from which the magnifications are displayed. The presence of HT-<span class="html-italic">ΔtolR</span> antigens (dark gray) is shown in detail under magnification. Scale bar: 100 µm. (ID: intradermal).</p>
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<p><b>Antibody immune response induced after skin vaccination of mice with HT-<span class="html-italic">ΔtolR</span>.</b> Specific serum IgG2a (<b>a</b>), IgG1 (<b>b</b>), IgA (<b>c</b>), and mucosal IgA in feces (<b>d</b>) levels against HT-<span class="html-italic">ΔtolR</span> in immunized BALB/c mice (20 μg). Blood and fecal samples were taken from week 0 to week 6 post-immunization. PBS-immunized mice were used as controls. Sera from immunized mice were diluted 1:100 in PBS-1% BSA, while feces were diluted 1:10 in PBS-T. Arrows indicate immunization time points. Error bars represent SD (n = 6). (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001). <span class="html-italic">(ID: intradermal; IM: intramuscular)</span>.</p>
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<p><b>Invasion capacity of <span class="html-italic">Shigella flexneri 2a</span> after serum incubation.</b> <span class="html-italic">S. flexneri</span> 2a bacterial invasion of HeLa cells after treatment with serum of mice immunized with HT-<span class="html-italic">ΔtolR</span> either ID or IM, represented as invaded CFU/mL upon gentamicin treatment (<b>a</b>) or percentage (%) of invasion referred to serum-free control as 100% invasion (<b>b</b>). Heat-inactivated sera at day 42 was used at 1:50 dilution and incubated with bacteria prior to HeLa infection. Error bars represent SD (n = 3). (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01). (<span class="html-italic">ID: intradermal; IM: intramuscular; ns: no significant</span>).</p>
Full article ">Figure 4
<p><b>Serum bactericidal assay against prevalent <span class="html-italic">Shigella</span> serotypes.</b> Complement-mediated bactericidal activity of HT-<span class="html-italic">ΔtolR</span> immunized mouse sera against <span class="html-italic">S. flexneri 2a</span> (<b>a</b>), <span class="html-italic">S. flexneri</span> 6 (<b>b</b>), and <span class="html-italic">S. sonnei</span> (<b>c</b>). Results are represented as the percentage of bacterial viability (%) against serially diluted sera from vaccinated mice. Data were normalized as viable CFU/mL with respect to serum-free samples as 100% viability and represented against sera Log dilution. Serum dilutions were able to kill 50% of bacteria in the assay (IC<sub>50</sub>) for control, IM, or ID vaccinated groups are reported (<b>d</b>). <span class="html-italic">p</span> values were calculated to examine the differences in IC<sub>50</sub> between the three groups. Experiments were performed three times. (IC<sub>50</sub>: inhibitory concentration 50; ID: intradermal; IM: intramuscular).</p>
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<p><b>IFN-γ ELISpot from splenocytes after ID vaccination of BALB/c mice.</b> Mice were ID or IM immunized with two doses of HT-<span class="html-italic">ΔtolR</span> (20 μg). IFN-γ T cells’ response to the HT-<span class="html-italic">ΔtolR</span> was assessed using ELISpot from in vitro stimulated splenocytes six weeks post-immunization. After background subtraction, the total number of spots is reported per million splenocytes and compared to the PBS-immunized control group (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01). Males (grey squares) and females (black circles) are represented in each group. Error bars represent SD (n = 6). (SFU: Spot forming units; ID: intradermal; IM: intramuscular).</p>
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<p><b>Cytokine production of splenocytes from immunized mice.</b> TNF-α (<b>a</b>), IFN-γ (<b>b</b>), IL-6 (<b>c</b>), IL-17 (<b>d</b>), and IL-10 (<b>e</b>), detected through the cytometric bead array (CBA) in the supernatants of cells re-stimulated for 48 h with 10 μg/mL of HT-<span class="html-italic">ΔtolR</span>. Each group represents males (grey squares) and females (black circles). Results are expressed in pg/mL and compared to the PBS-control group (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01). Error bars represent SEM (n = 6). (ID: intradermal; IM: intramuscular; IL: interleukin; TNF: tumor necrosis factor; IFN: interferon).</p>
Full article ">Figure 7
<p><b>Spleen T cell populations post-immunization.</b> Percentage (%) of CD4<sup>+</sup> T cells (<b>a</b>) and CD8<sup>+</sup> T cells (<b>b</b>) among alive CD3<sup>+</sup> cells in ID and IM HT-<span class="html-italic">ΔtolR</span> vaccinated groups determined through flow cytometry. The PBS-control group was used as a negative control. Statistical analysis between the three groups in each panel (ID, IM, and Control) was performed using ordinary one-way ANOVA followed by Dunnett’s multiple comparisons test (* <span class="html-italic">p</span> &lt; 0.05). Male (grey squares) and female (black circles) are represented in each group. Error bars represent SEM (n = 6). (ID: intradermal; IM: intramuscular; CM: central memory; ns: no significance).</p>
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14 pages, 3045 KiB  
Article
Study on the Antibacterial Rule in Fermented Feed with Different Amounts of CaCO3 by Quantitative Real-Time Polymerase Chain Reaction
by Jibin Li, Xinyu Heng, Zhong Ni and Huayou Chen
Fermentation 2023, 9(11), 940; https://doi.org/10.3390/fermentation9110940 - 30 Oct 2023
Viewed by 1067
Abstract
Fermented feed is needed to maintain the vitality of probiotics and cannot be sterilized. Fermented feeds, especially those with added CaCO3, have a high risk of contamination with pathogens. Escherichia coli, Staphylococcus aureus, and Shigella flexneri are the main [...] Read more.
Fermented feed is needed to maintain the vitality of probiotics and cannot be sterilized. Fermented feeds, especially those with added CaCO3, have a high risk of contamination with pathogens. Escherichia coli, Staphylococcus aureus, and Shigella flexneri are the main pathogenic bacteria threatening animal breeding. This study developed a new microbial quantitative real-time PCR analysis method to investigate the antibacterial rule in fermented feed with different amounts of CaCO3. Moreover, using the qPCR method, we found that the feed pH decreased slowly with the increase of CaCO3 addition. In the early stage of fermentation, CaCO3 addition promoted three pathogenic bacteria growth. In the middle and late fermentation, CaCO3 addition inhibited the growth of Escherichia coli and Shigella flexneri, and the greater the CaCO3 addition, the stronger the inhibitory effect. The CaCO3 addition reduced the growth inhibition of Staphylococcus aureus, and the inhibition effect was weaker with the increase of CaCO3 addition. From the inhibitory effect on intestinal pathogenic bacteria such as Escherichia coli and Shigella flexneri, the optimal addition amount of CaCO3 was 12%. At this level of addition, the number of Lactiplantibacillus plantarum subsp. plantarum, Lacticaseibacillus rhamnosus, and Bacillus subtilis were also the highest, and the content of organic acids with antibacterial effects was also the highest. The addition of CaCO3 had an inhibitory effect on the growth of pathogenic bacteria, mainly attributed to the promotion of the growth of Lactiplantibacillus plantarum subsp. plantarum and Lacticaseibacillus rhamnosus, and the organic acid of its fermentation product had an inhibitory effect on pathogenic bacteria. This study provides theoretical guidance for the antibacterial rule of high-pH fermented feed with different amounts of CaCO3. Full article
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<p>Initial fermentation process.</p>
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<p>Specificity verification of strain primers. (<b>a</b>) <span class="html-italic">Bacillus subtilis</span>; (<b>b</b>) <span class="html-italic">Saccharomyces cerevisiae</span>; (<b>c</b>) <span class="html-italic">Lactiplantibacillus plantarum</span> subsp. <span class="html-italic">plantarum</span>; (<b>d</b>) <span class="html-italic">Lacticaseibacillus rhamnosus</span>; (<b>e</b>) <span class="html-italic">Escherichia coli</span>; (<b>f</b>) <span class="html-italic">Staphylococcus aureus</span>; (<b>g</b>) <span class="html-italic">Shigella flexneri</span>. M: DNA Marker (50~500 bp); 1: <span class="html-italic">Bacillus subtilis</span>; 2: <span class="html-italic">Saccharomyces cerevisiae</span>; 3: <span class="html-italic">Lactiplantibacillus plantarum</span> subsp. <span class="html-italic">plantarum</span>; 4: <span class="html-italic">Lacticaseibacillus rhamnosus</span>; 5: <span class="html-italic">Escherichia coli</span>; 6: <span class="html-italic">Staphylococcus aureus</span>; 7: <span class="html-italic">Shigella flexneri</span>.</p>
Full article ">Figure 2 Cont.
<p>Specificity verification of strain primers. (<b>a</b>) <span class="html-italic">Bacillus subtilis</span>; (<b>b</b>) <span class="html-italic">Saccharomyces cerevisiae</span>; (<b>c</b>) <span class="html-italic">Lactiplantibacillus plantarum</span> subsp. <span class="html-italic">plantarum</span>; (<b>d</b>) <span class="html-italic">Lacticaseibacillus rhamnosus</span>; (<b>e</b>) <span class="html-italic">Escherichia coli</span>; (<b>f</b>) <span class="html-italic">Staphylococcus aureus</span>; (<b>g</b>) <span class="html-italic">Shigella flexneri</span>. M: DNA Marker (50~500 bp); 1: <span class="html-italic">Bacillus subtilis</span>; 2: <span class="html-italic">Saccharomyces cerevisiae</span>; 3: <span class="html-italic">Lactiplantibacillus plantarum</span> subsp. <span class="html-italic">plantarum</span>; 4: <span class="html-italic">Lacticaseibacillus rhamnosus</span>; 5: <span class="html-italic">Escherichia coli</span>; 6: <span class="html-italic">Staphylococcus aureus</span>; 7: <span class="html-italic">Shigella flexneri</span>.</p>
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<p>Changes of fermented feed pH with different amounts of CaCO<sub>3</sub>.</p>
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<p>Growth changes of pathogenic bacteria with different amounts of CaCO<sub>3</sub>. (<b>a</b>) <span class="html-italic">Escherichia coli</span>; (<b>b</b>) <span class="html-italic">Staphylococcus aureus</span>; (<b>c</b>) <span class="html-italic">Shigella flexneri.</span></p>
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<p>Growth changes of fermenting strains with different amounts of CaCO<sub>3</sub>. (<b>a</b>) <span class="html-italic">Bacillus subtilis</span>; (<b>b</b>) <span class="html-italic">Saccharomyces cerevisiae</span>; (<b>c</b>) <span class="html-italic">Lactiplantibacillus plantarum</span> subsp. <span class="html-italic">plantarum</span>; (<b>d</b>) <span class="html-italic">Lacticaseibacillus rhamnosus</span>.</p>
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<p>Changes of organic acid content with different amounts of CaCO<sub>3</sub>.</p>
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16 pages, 2636 KiB  
Article
Biocide Tolerance and Impact of Sanitizer Concentrations on the Antibiotic Resistance of Bacteria Originating from Cheese
by Éva György, Károly Arnold Unguran and Éva Laslo
Foods 2023, 12(21), 3937; https://doi.org/10.3390/foods12213937 - 27 Oct 2023
Viewed by 1243
Abstract
In this study, we determined and identified the bacterial diversity of different types of artisanal and industrially produced cheese. The antibiotic (erythromycin, chloramphenicol, kanamycin, ampicillin, clindamycin, streptomycin, tetracycline, and gentamicin) and biocide (peracetic acid, sodium hypochlorite, and benzalkonium chloride) resistance of clinically relevant [...] Read more.
In this study, we determined and identified the bacterial diversity of different types of artisanal and industrially produced cheese. The antibiotic (erythromycin, chloramphenicol, kanamycin, ampicillin, clindamycin, streptomycin, tetracycline, and gentamicin) and biocide (peracetic acid, sodium hypochlorite, and benzalkonium chloride) resistance of clinically relevant bacteria was determined as follows: Staphylococcus aureus, Macrococcus caseolyticus, Bacillus sp., Kocuria varians, Escherichia coli, Enterococcus faecalis, Citrobacter freundii, Citrobacter pasteurii, Klebsiella oxytoca, Klebsiella michiganensis, Enterobacter sp., Enterobacter cloacae, Enterobacter sichuanensis, Raoultella ornithinolytica, Shigella flexneri, and Salmonella enterica. Also, the effect of the sub-inhibitory concentration of three biocides on antibiotic resistance was determined. The microbiota of evaluated dairy products comprise diverse and heterogeneous groups of bacteria with respect to antibiotic and disinfectant tolerance. The results indicated that resistance was common in the case of ampicillin, chloramphenicol, erythromycin, and streptomycin. Bacillus sp. SCSSZT2/3, Enterococcus faecalis SRGT/1, E. coli SAT/1, Raoultella ornithinolytica MTT/5, and S. aureus SIJ/2 showed resistance to most antibiotics. The tested bacteria showed sensitivity to peracetic acid and a different level of tolerance to benzalkonium chloride and sodium hypochlorite. The inhibition zone diameter of antibiotics against Enterococcus faecalis SZT/2, S. aureus JS11, E. coli CSKO2, and Kocuria varians GRT/10 was affected only by the sub-inhibitory concentration of peracetic acid. Full article
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<p>PCA of antibiotic-resistant and sensitive bacterial strains isolated from different cheeses.</p>
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<p>The antibacterial effect of commercially available BZK and SHY (inhibition zones in mm), on Gram-negative bacteria.</p>
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<p>The antibacterial effect of commercially available BZK and SHY (inhibition zones in mm), on Gram-positive bacteria.</p>
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<p>Spearman correlation coefficient graphic between inhibition zone size (mm) of antibiotics and antibacterial activity of biocides. Color-coded values range from −1 = negative correlation (red) to 1 = positive correlation (blue); color intensity and bubble size co-vary with the size of the data points.</p>
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<p>Inhibition zone diameter (mm) of antibiotics against <span class="html-italic">Staphylococcus aureus</span> JS11 and <span class="html-italic">Kocuria varians</span> GRT/10 adapted or exposed to sub-inhibitory concentrations of biocides and the inhibition zones without PAA pretreatment.</p>
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<p>Inhibition zone diameter (mm) of antibiotics against <span class="html-italic">Enterococcus faecalis</span> SZT/2 adapted or exposed to sub-inhibitory concentrations of biocides and the inhibition zones without PAA pretreatment.</p>
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21 pages, 1728 KiB  
Article
The Fascinating Cross-Paths of Pathogenic Bacteria, Human and Animal Faecal Sources in Water-Stressed Communities of Vhembe District, South Africa
by Mulalo Mudau, Renay Ngobeni-Nyambi and Maggy Ndombo Benteke Momba
Pathogens 2023, 12(9), 1085; https://doi.org/10.3390/pathogens12091085 - 26 Aug 2023
Cited by 1 | Viewed by 944
Abstract
Access to clean and safe drinking water still remains a major challenge in the developing world, causing public health risks in terms of waterborne infections, especially in rural areas of sub-Saharan Africa. This study aimed to track and detect enteric pathogens (Salmonella [...] Read more.
Access to clean and safe drinking water still remains a major challenge in the developing world, causing public health risks in terms of waterborne infections, especially in rural areas of sub-Saharan Africa. This study aimed to track and detect enteric pathogens (Salmonella enterica subsp. enterica serovar Typhimurium str. LT2, Shigella flexneri, and Campylobacter jejuni subsp. jejuni) in rural water sources. It also sought to establish a correlation between these pathogens and the sources of faecal pollution. Multiplex qPCR and specific primers and probes were used for detection and tracking. The study successfully correlated the occurrence of target pathogens with sources of human and animal faecal contamination using host-specific genetic markers (BacHum and HF183 for humans, BacCow for cows, Pig-2-Bac for pigs, Cytb for chickens, and BacCan for dogs). The study revealed that enteric pathogens were found in 47.69% and 32.80% of samples during the wet and dry seasons, respectively. These pathogens were associated with human or animal faecal contamination. Correlations between pathogens and contamination sources were significant (p ≤ 0.05), with varying strengths during the wet and dry seasons. The findings emphasize the importance of identifying faecal contamination sources to protect rural communities from waterborne infections. Full article
(This article belongs to the Special Issue Water-Borne Pathogens)
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<p>Map showing sampled villages, water treatment plants, and rivers.</p>
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<p>Standard curves for enteric pathogens.</p>
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<p>The prevalence of <span class="html-italic">Campylobacter jejuni</span> subsp. <span class="html-italic">jejuni, Shigella flexneri</span>, and <span class="html-italic">Salmonella enterica</span> subsp. <span class="html-italic">enterica</span> serovar Typhimurium str. LT2 during wet and dry seasons.</p>
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<p>The prevalence of <span class="html-italic">Campylobacter jejuni</span> subsp. <span class="html-italic">jejuni</span>, <span class="html-italic">Shigella flexneri</span>, and <span class="html-italic">Salmonella enterica</span> subsp. <span class="html-italic">enterica</span> serovar Typhimurium str. LT2 in water sources used in selected villages.</p>
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<p>(<b>A</b>): Number of markers associated with the presence of <span class="html-italic">Campylobacter jejuni</span> subsp. <span class="html-italic">jejuni</span> in water sources during the rainy season. E1: HHS (Lambani household storage); B28: XRAW (Xikundu Water Treatment Works raw water, Xikundu); B30: ALD (Luvuvhu River downstream of Xikundu Water Treatment Works); B31: ALU (Luvuvhu River upstream of Xikundu Water Treatment Works). (<b>B</b>): Number of markers associated with the presence of <span class="html-italic">Campylobacter jejuni</span> subsp. <span class="html-italic">jejuni</span> in the water sources during the dry season. E23: XRAW (Xikundu Water Treatment Works raw water, Lambani samples); K40: KLD (Luvuvhu River downstream, Gandlanani Village); K41: KLU (Luvuvhu River upstream, Gandlanani Village). (<b>C</b>): Number of markers associated with the presence of <span class="html-italic">Salmonella enterica</span> subsp. <span class="html-italic">enterica</span> serovar Typhimurium str. LT2 in water sources during the rainy season. E2–E17: Lambani HHS; I1–I19: Tshifudi HHS; I22: XRAW: Xikundu Water Treatment Works raw water; K1–K34: Gandlanani HHS; K40–K42: Gandlanani Luvuvhu River; B5–B15: Makuleke HSS; B28: XRAW, B31: Xikundu Luvuvhu River; N5–N17: Njhakanjhaka stored borehole water. (<b>D</b>): Number of markers associated with the presence of <span class="html-italic">Salmonella enterica</span> subsp. <span class="html-italic">enterica</span> serovar Typhimurium str. LT2 in water sources during the dry season. E6–E17: Lambani HHS; E23: XRAW: Xikundu Water Treatment Works raw water; I9–I19: Tshifudi HHS, I22: XRAW; K1–K32: Gandlanani HHS; K40–K42: Gandlanani Luvuvhu River; B3–B25: Makuleke HSS, B29: XRAW; B31: Xikundu Luvuvhu River; N8: Njhakanjhaka stored borehole water. (<b>E</b>): Number of markers associated with the presence of <span class="html-italic">Shigella flexneri</span> in water sources during the rainy season. E2–E10: Lambani HHS; * E24: XFINAL (Xikundu Water Treatment Works final water); I3–I21: Tshifudi HHS; I24: Xikundu Luvuvhu River Extraction point; K8–K33: Gandlanani HHS; * K40: Gandlanani Luvuvhu River; B1–B26: Makuleke HSS; B30: ALD Xikundu Luvuvhu River downstream; N1–N8: Njhakanjhaka stored borehole water. (<b>F</b>): Number of markers associated with the presence of <span class="html-italic">Shigella flexneri</span> in possible water sources during the dry season. E10–E19: Lambani HHS; E22: Xikundu Luvuvhu River Extraction; E23: XRAW (Xikundu Water Treatment Works Raw water); I4–I20: Tshifudi HHS; I24: Xikundu Luvuvhu River; K1–K34: Gandlanani HHS; K40: Gandlanani Luvuvhu River; B18: Makuleke HSS; B30: ALD (Xikundu Luvuvhu River downstream, Makuleke Village), B31: ALU (Xikundu Luvuvhu River upstream, Makuleke village); N1–N10: Njhakanjhaka stored borehole water.</p>
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<p>(<b>A</b>): Number of markers associated with the presence of <span class="html-italic">Campylobacter jejuni</span> subsp. <span class="html-italic">jejuni</span> in water sources during the rainy season. E1: HHS (Lambani household storage); B28: XRAW (Xikundu Water Treatment Works raw water, Xikundu); B30: ALD (Luvuvhu River downstream of Xikundu Water Treatment Works); B31: ALU (Luvuvhu River upstream of Xikundu Water Treatment Works). (<b>B</b>): Number of markers associated with the presence of <span class="html-italic">Campylobacter jejuni</span> subsp. <span class="html-italic">jejuni</span> in the water sources during the dry season. E23: XRAW (Xikundu Water Treatment Works raw water, Lambani samples); K40: KLD (Luvuvhu River downstream, Gandlanani Village); K41: KLU (Luvuvhu River upstream, Gandlanani Village). (<b>C</b>): Number of markers associated with the presence of <span class="html-italic">Salmonella enterica</span> subsp. <span class="html-italic">enterica</span> serovar Typhimurium str. LT2 in water sources during the rainy season. E2–E17: Lambani HHS; I1–I19: Tshifudi HHS; I22: XRAW: Xikundu Water Treatment Works raw water; K1–K34: Gandlanani HHS; K40–K42: Gandlanani Luvuvhu River; B5–B15: Makuleke HSS; B28: XRAW, B31: Xikundu Luvuvhu River; N5–N17: Njhakanjhaka stored borehole water. (<b>D</b>): Number of markers associated with the presence of <span class="html-italic">Salmonella enterica</span> subsp. <span class="html-italic">enterica</span> serovar Typhimurium str. LT2 in water sources during the dry season. E6–E17: Lambani HHS; E23: XRAW: Xikundu Water Treatment Works raw water; I9–I19: Tshifudi HHS, I22: XRAW; K1–K32: Gandlanani HHS; K40–K42: Gandlanani Luvuvhu River; B3–B25: Makuleke HSS, B29: XRAW; B31: Xikundu Luvuvhu River; N8: Njhakanjhaka stored borehole water. (<b>E</b>): Number of markers associated with the presence of <span class="html-italic">Shigella flexneri</span> in water sources during the rainy season. E2–E10: Lambani HHS; * E24: XFINAL (Xikundu Water Treatment Works final water); I3–I21: Tshifudi HHS; I24: Xikundu Luvuvhu River Extraction point; K8–K33: Gandlanani HHS; * K40: Gandlanani Luvuvhu River; B1–B26: Makuleke HSS; B30: ALD Xikundu Luvuvhu River downstream; N1–N8: Njhakanjhaka stored borehole water. (<b>F</b>): Number of markers associated with the presence of <span class="html-italic">Shigella flexneri</span> in possible water sources during the dry season. E10–E19: Lambani HHS; E22: Xikundu Luvuvhu River Extraction; E23: XRAW (Xikundu Water Treatment Works Raw water); I4–I20: Tshifudi HHS; I24: Xikundu Luvuvhu River; K1–K34: Gandlanani HHS; K40: Gandlanani Luvuvhu River; B18: Makuleke HSS; B30: ALD (Xikundu Luvuvhu River downstream, Makuleke Village), B31: ALU (Xikundu Luvuvhu River upstream, Makuleke village); N1–N10: Njhakanjhaka stored borehole water.</p>
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<p>(<b>A</b>): Number of markers associated with the presence of <span class="html-italic">Campylobacter jejuni</span> subsp. <span class="html-italic">jejuni</span> in water sources during the rainy season. E1: HHS (Lambani household storage); B28: XRAW (Xikundu Water Treatment Works raw water, Xikundu); B30: ALD (Luvuvhu River downstream of Xikundu Water Treatment Works); B31: ALU (Luvuvhu River upstream of Xikundu Water Treatment Works). (<b>B</b>): Number of markers associated with the presence of <span class="html-italic">Campylobacter jejuni</span> subsp. <span class="html-italic">jejuni</span> in the water sources during the dry season. E23: XRAW (Xikundu Water Treatment Works raw water, Lambani samples); K40: KLD (Luvuvhu River downstream, Gandlanani Village); K41: KLU (Luvuvhu River upstream, Gandlanani Village). (<b>C</b>): Number of markers associated with the presence of <span class="html-italic">Salmonella enterica</span> subsp. <span class="html-italic">enterica</span> serovar Typhimurium str. LT2 in water sources during the rainy season. E2–E17: Lambani HHS; I1–I19: Tshifudi HHS; I22: XRAW: Xikundu Water Treatment Works raw water; K1–K34: Gandlanani HHS; K40–K42: Gandlanani Luvuvhu River; B5–B15: Makuleke HSS; B28: XRAW, B31: Xikundu Luvuvhu River; N5–N17: Njhakanjhaka stored borehole water. (<b>D</b>): Number of markers associated with the presence of <span class="html-italic">Salmonella enterica</span> subsp. <span class="html-italic">enterica</span> serovar Typhimurium str. LT2 in water sources during the dry season. E6–E17: Lambani HHS; E23: XRAW: Xikundu Water Treatment Works raw water; I9–I19: Tshifudi HHS, I22: XRAW; K1–K32: Gandlanani HHS; K40–K42: Gandlanani Luvuvhu River; B3–B25: Makuleke HSS, B29: XRAW; B31: Xikundu Luvuvhu River; N8: Njhakanjhaka stored borehole water. (<b>E</b>): Number of markers associated with the presence of <span class="html-italic">Shigella flexneri</span> in water sources during the rainy season. E2–E10: Lambani HHS; * E24: XFINAL (Xikundu Water Treatment Works final water); I3–I21: Tshifudi HHS; I24: Xikundu Luvuvhu River Extraction point; K8–K33: Gandlanani HHS; * K40: Gandlanani Luvuvhu River; B1–B26: Makuleke HSS; B30: ALD Xikundu Luvuvhu River downstream; N1–N8: Njhakanjhaka stored borehole water. (<b>F</b>): Number of markers associated with the presence of <span class="html-italic">Shigella flexneri</span> in possible water sources during the dry season. E10–E19: Lambani HHS; E22: Xikundu Luvuvhu River Extraction; E23: XRAW (Xikundu Water Treatment Works Raw water); I4–I20: Tshifudi HHS; I24: Xikundu Luvuvhu River; K1–K34: Gandlanani HHS; K40: Gandlanani Luvuvhu River; B18: Makuleke HSS; B30: ALD (Xikundu Luvuvhu River downstream, Makuleke Village), B31: ALU (Xikundu Luvuvhu River upstream, Makuleke village); N1–N10: Njhakanjhaka stored borehole water.</p>
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14 pages, 1008 KiB  
Article
Phytochemical Analysis and Biological Activities of Ripe Fruits of Mistletoe (Psittacanthus calyculatus)
by Zaida Ochoa-Cruz, Jorge Molina-Torres, María V. Angoa-Pérez, Jeanette G. Cárdenas-Valdovinos, Ignacio García-Ruiz, José A. Ceja-Díaz, José O. Bernal-Gallardo and Hortencia G. Mena-Violante
Plants 2023, 12(12), 2292; https://doi.org/10.3390/plants12122292 - 12 Jun 2023
Cited by 1 | Viewed by 1157
Abstract
Psittacanthus calyculatus is a hemiparasitic plant of an arboreal species (e.g., forest, fruit trees). Its foliage has therapeutic potential; however, little is known about its fruits. In this study, the phytochemical profile and biological activities of P. calyculatus fruits hosted by Prosopis laevigata [...] Read more.
Psittacanthus calyculatus is a hemiparasitic plant of an arboreal species (e.g., forest, fruit trees). Its foliage has therapeutic potential; however, little is known about its fruits. In this study, the phytochemical profile and biological activities of P. calyculatus fruits hosted by Prosopis laevigata and Quercus deserticola were evaluated. The fruits of P. calyculatus from P. laevigata showed the highest content of total phenols (71.396 ± 0.676 mg GAE/g DW). The highest content of flavonoids and anthocyanins was presented in those from Q. deserticola (14.232 ± 0.772 mg QE/g DW; 2.431 ± 0.020 mg C3GE/g DW). The anthocyanin cyanidin-3-glucoside was detected and quantified via high-performance thin-layer chromatography (HPTLC) (306.682 ± 11.804 mg C3GE/g DW). Acidified extracts from host P. laevigata showed the highest antioxidant activity via ABTS•+ (2,2′azinobis-(3-ethylbenzothiazdin-6-sulfonic acid) (214.810 ± 0.0802 mg TE/g DW). Fruit extracts with absolute ethanol from the P. laevigata host showed the highest antihypertensive activity (92 ± 3.054% inhibition of an angiotensin converting enzyme (ACE)). Fruit extracts from both hosts showed a minimum inhibitory concentration (MIC) of 6.25 mg/mL and a minimum bactericidal concentration (MBC) of 12.5 mg/mL against Escherichia coli, Salmonella choleraesuis and Shigella flexneri. Interestingly, a significant host effect was found. P. calyculatus fruits extract could be used therapeutically. However, further confirmation experiments should be carried out. Full article
(This article belongs to the Section Phytochemistry)
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<p>Chromatogram of pericarp samples of mature <span class="html-italic">P. calyculatus</span> fruit extracted with absolute ethanol from two different hosts, namely <span class="html-italic">P. laevigata</span> (Mesquite) and <span class="html-italic">Q. deserticola</span> (Oak). Standard C3G was applied at different volumes with four calibration points, i.e., 1.5, 3, 6 and 9 µL, equivalent to 1.5, 3, 6 and 9 µg; y = −1.946 × 10<sup>−15</sup>x<sup>2</sup> + 5.207 × 10<sup>−8</sup>x − 3.155 × 10<sup>−2</sup>, <span class="html-italic">R<sup>2</sup></span> = 0.9999. In a sample application volume of 2 µL (26.66 DW /mL), in triplicate. Pericarp samples of <span class="html-italic">P. calyculatus</span> extracted with acidified ethanol with respect to two distinct hosts, <span class="html-italic">P. laevigata</span> (Mesquite) and <span class="html-italic">Q. deserticola</span> (Oak) (viewed under white light, derivatized with NP (Sigma-Aldrich<sup>®</sup>, St. Louis, MO, USA) under a solvent system of ethyl acetate:acetic acid:formic acid:water (10:1.1:1.1:2.3). Retention factor (Rf) = 0.38.</p>
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<p>Chromatogram of pericarp samples of <span class="html-italic">P. calyculatus</span> extracted with absolute ethanol with respect to two different hosts <span class="html-italic">P. laevigata (</span>Mesquite) and <span class="html-italic">Q. deserticola (</span>Oak). Standard C3G was applied at different volumes with four calibration points, namely 1.5, 3, 6 and 9 µL, equivalent to 1.5, 3, 6 and 9 µg; y = −1.946 × 10<sup>−15</sup>x<sup>2</sup> + 5.207 × 10<sup>−8</sup>x − 3.155 × 10<sup>−2</sup>, <span class="html-italic">R<sup>2</sup></span> = 0.9999. In a sample application, a volume of 2 µL (26.66 DW /mL), in triplicate, acidified the ethanol extracts of two distinct hosts, <span class="html-italic">P. laevigata</span> (Mesquite) and <span class="html-italic">Q. deserticola</span> (Oak)<span class="html-italic">,</span> viewed under white light and a DPPH<b>•</b>-derived anthocyanin assay plate.</p>
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