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Search Results (341)

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Keywords = Clostridioides difficile infection

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12 pages, 1592 KiB  
Article
Metronidazole and Vancomycin Have a Synergic Effect, with Plant Extracts as Helpful Tools to Combat Clostridioides difficile Infections
by Nancy C. Ruiz-Pérez, Yuli Bayona-Pérez, Silvia Laura Guzmán-Gutiérrez, Ricardo Reyes-Chilpa, Víctor M. Luna-Pineda, Javier Torres and Mariana Romo-Castillo
Antibiotics 2025, 14(1), 54; https://doi.org/10.3390/antibiotics14010054 - 9 Jan 2025
Viewed by 436
Abstract
Background/Objectives: The prolonged use of antibiotics is closely related to increased infections caused by Clostridioides difficile (Cdiff). Plant-origin compounds have been expanding in recent years as the best opportunity to identify new synergic therapies to combat antibiotic-associated diseases. Mexico has incredible plant biodiversity; [...] Read more.
Background/Objectives: The prolonged use of antibiotics is closely related to increased infections caused by Clostridioides difficile (Cdiff). Plant-origin compounds have been expanding in recent years as the best opportunity to identify new synergic therapies to combat antibiotic-associated diseases. Mexico has incredible plant biodiversity; natural compounds with antibacterial properties are an alternative treatment. The main objective of this study was to analyze the effect of medicinal plants with an antibacterial action against toxigenic clinical Cdiff strains that have a synergic effect on the antibiotics commonly used to combat this disease. Methods: The plants were selected for plants that were previously used in research, and their extracts were tested against Cdiff strains. The antibacterial activity, synergy, and antagonism between the extracts and their synergic effect with antibiotics were evaluated. Results: Our results demonstrated that some extracts have effective antimicrobial activity and synergic effects with vancomycin and metronidazole. Conclusions: This study suggests that plant extracts and plant compounds derived from these extracts could be used as synergic-antibiotic therapy to combat Cdiff infections. Full article
(This article belongs to the Special Issue Natural Alternatives and Their Synthetic Derivatives to Antibiotics)
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<p>Inhibition zone (mm) of bacterial growth by plant extracts. The mean of the assay of the seven MDR Cdiff strains by triplicate was shown. The line represents the breakpoint resistance for vancomycin (Van) following CLSI recommendations. Nomenclature for all the extracts is shown in <a href="#antibiotics-14-00054-t001" class="html-table">Table 1</a>. Dimethyl sulfoxide (DMSO) was employed as the solvent and negative control.</p>
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<p>The additive effect between PEs against Cdiff. Mixture 1:1 of the extracts or extract: DMSO was analyzed by disc diffusion. The mean of three independent assays is represented in the graphs, and statistical differential significance (<span class="html-italic">p</span> &lt; 0.05) was expressed with an asterisk (*). (<b>A</b>). Additive effect with Roselle flower extract (HiS-F-Et). (<b>B</b>). Additive effect with Marigold flower extract (Mac-F-Et). (<b>C</b>). Additive effect with Chamomile flower extract (CaO-F-Et), (<b>D</b>). Additive effect with Lavender flower extract (LaOs-F-Et). (<b>E</b>). Additive effect with Cempasuchil leaves extract (TaE-L-Et). (<b>F</b>). Additive effect with Cempasuchil flower extract (Tae-F-Et extract).</p>
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<p>Bacterial inhibition growth of vancomycin mixed with PEs. The disc diffusion method analyzed 1:1 mixtures of PE (1/4 MIC) and vancomycin (30 μg). * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Bacterial inhibition growth of metronidazole mixed with PEs. The disc diffusion method analyzed 1:1 PE (1/4 MIC) and metronidazole (16 ug) mixtures. * <span class="html-italic">p</span> &lt; 0.05.</p>
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11 pages, 767 KiB  
Article
Evaluation of Inflammatory Markers and Clinical Outcomes in COVID-19 Patients with Concurrent Clostridioides difficile Infection: A Comparative Cohort Analysis
by Flavia Ignuta, Adrian Vlad, Teodor Cerbulescu, Stana Loredana, Felix Bratosin, Ovidiu Rosca, Lavinia Stelea and Daciana Nistor
Biomedicines 2025, 13(1), 111; https://doi.org/10.3390/biomedicines13010111 - 6 Jan 2025
Viewed by 460
Abstract
Background and Objectives: Co-infection with Clostridioides difficile (C. difficile) in COVID-19 patients has emerged as a clinical challenge associated with increased morbidity and mortality. While both infections elicit systemic inflammation, the interplay between inflammatory markers, disease severity, and outcomes in patients [...] Read more.
Background and Objectives: Co-infection with Clostridioides difficile (C. difficile) in COVID-19 patients has emerged as a clinical challenge associated with increased morbidity and mortality. While both infections elicit systemic inflammation, the interplay between inflammatory markers, disease severity, and outcomes in patients with COVID-19 and concurrent C. difficile infection remains poorly characterized. This study aimed to evaluate the inflammatory status and clinical outcomes of patients hospitalized with COVID-19, with and without C. difficile co-infection, and to identify the inflammatory markers most predictive of severe disease. Methods: We conducted a retrospective cohort study of 200 hospitalized adults with confirmed COVID-19, of whom 92 had laboratory-confirmed C. difficile infection. Baseline demographic data, comorbidities, inflammatory markers (C-reactive protein [CRP], interleukin-6 [IL-6], ferritin, neutrophil-to-lymphocyte ratio [NLR], platelet count, albumin, and derived indices such as the CRP-to-Albumin Ratio [CAR] and Prognostic Nutritional Index [PNI]) were recorded. Clinical outcomes included ICU admission, need for mechanical ventilation, length of stay, and in-hospital mortality. Results: Patients with COVID-19 and C. difficile co-infection had significantly elevated inflammatory markers (CRP, IL-6, NLR) and higher CAR, alongside lower PNI, compared to those with COVID-19 alone (p < 0.001). Inflammatory indices correlated strongly with disease severity: elevated CAR and low PNI were associated with higher odds of ICU admission and mortality (p < 0.001). Multivariate analysis identified co-infection status, increased IL-6, and elevated CAR as independent predictors of severe outcomes. Conclusions: C. difficile co-infection in COVID-19 patients is associated with an intensified inflammatory response and worse clinical outcomes. Among the evaluated markers, CAR and PNI emerged as robust predictors of severe disease. Timely recognition of C. difficile co-infection and use of targeted anti-inflammatory and supportive therapies may improve patient management. Future studies should expand on these findings to optimize care and guide therapeutic strategies. Full article
(This article belongs to the Section Microbiology in Human Health and Disease)
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<p>Heatmap of clinical outcomes and their correlations with inflammatory markers.</p>
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<p>Forest plot of predictors of severe outcomes.</p>
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26 pages, 946 KiB  
Review
A Review of Therapies for Clostridioides difficile Infection
by Faiza Morado and Neha Nanda
Antibiotics 2025, 14(1), 17; https://doi.org/10.3390/antibiotics14010017 - 31 Dec 2024
Viewed by 594
Abstract
Clostridioides difficile is an urgent public health threat that affects approximately half a million patients annually in the United States. Despite concerted efforts aimed at the prevention of Clostridioides difficile infection (CDI), it remains a leading cause of healthcare-associated infections. CDI is associated [...] Read more.
Clostridioides difficile is an urgent public health threat that affects approximately half a million patients annually in the United States. Despite concerted efforts aimed at the prevention of Clostridioides difficile infection (CDI), it remains a leading cause of healthcare-associated infections. CDI is associated with significant clinical, social, and economic burdens. Therefore, it is imperative to provide optimal and timely therapy for CDI. We conducted a systematic literature review and offer treatment recommendations based on available evidence for the treatment and prevention of CDI. Full article
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<p>Literature review flow diagram.</p>
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<p>Treatment options for CDI based on severity and number of prior CDI episodes.</p>
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15 pages, 5522 KiB  
Article
Cell Wall Protein 2 as a Vaccine Candidate Protects Mice Against Clostridioides difficile Infection
by Shaohui Wang, Joshua Heuler, Jessica Bullock, Junling Qin, Soumyadeep Chakraborty, Agbendeh Lubem Nathaniel, Shifeng Wang and Xingmin Sun
Vaccines 2025, 13(1), 21; https://doi.org/10.3390/vaccines13010021 - 30 Dec 2024
Viewed by 481
Abstract
Background/Objectives: Clostridioides difficile is a Gram-positive, spore-forming enteric pathogen that causes intestinal disorders, including inflammation and diarrhea, primarily through toxin production. Standard treatment options for C. difficile infection (CDI) involve a limited selection of antibiotics that are not fully effective, leading to high [...] Read more.
Background/Objectives: Clostridioides difficile is a Gram-positive, spore-forming enteric pathogen that causes intestinal disorders, including inflammation and diarrhea, primarily through toxin production. Standard treatment options for C. difficile infection (CDI) involve a limited selection of antibiotics that are not fully effective, leading to high recurrence rates. Vaccination presents a promising strategy for preventing both CDI and its recurrence. Cell wall protein 2 (Cwp2), a highly immunogenic and abundant surface-exposed C. difficile cell wall protein, plays an important role in the bacterium’s adherence in vitro. In this study, we aimed to analyze the homology and immunogenicity of Cwp2 and its protection efficacy as a vaccine candidate against CDI in mice. Methods: we conducted in silico analyses to assess the homology and immunogenicity of Cwp2, and we evaluated its potential as a vaccine candidate against CDI using a mouse model of immunization and infection. Results: Our in silico analyses predicted the immunogenic region (functional domain) of Cwp2 and revealed its high homology among various toxinotypes and ribotypes (R.T.s) or sequence types (S.T.s). Immunizations of mice with the Cwp2 functional domain (Cwp2_A) induced potent IgG/A antibody responses against Cwp2_A, protected mice from CDI, and reduced C. difficile spore and toxin levels in feces post-infection. Additionally, anti-Cwp2_A sera inhibited the binding of C. difficile vegetative cells to HCT8 cells. Conclusions: Our report demonstrates for the first time the potential of Cwp2_A as an effective vaccine candidate against CDI in mice. Full article
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<p><b>Domain architecture of cell wall protein 2 (Cwp2) (WP_009891054.1) from <span class="html-italic">C. difficile</span> R20291.</b> The signal peptide (SP) is followed by the functional region, which includes domain 1 (D1), domain 2 (D2), and domain 3 (D3); D2 is connected to D3 via a strand of 13 aa in D1. The cell wall binding domain (CWB) has 3 repeated regions, CWB1, CWB2, and CWB3, as indicated in UniProt. The schematic representation of the domain architecture was developed in DOG 2.0.</p>
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<p><b>Predicted immunogenic regions (in yellow) of Cwp2.</b> B cell epitopes of Cwp2 were predicted using the BepiPred-2.0 server (<a href="https://www.iedb.org/" target="_blank">https://www.iedb.org/</a>; accessed on 6 May 2023). The residues with scores above the threshold (default value is 0.5) are predicted to be part of an epitope and are colored in yellow on the graph (where the Y-axis depicts residue scores and the X-axis depicts residue positions in the sequence).</p>
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<p><b>Cwp2 phylogeny.</b> Amino acid sequences of Cwp2 were aligned with the MUSCLE algorithm in MegaX before computing a maximum likelihood tree with 100 bootstrap replicates (bootstrap values &gt;50 are displayed). Scale bars indicate 0.010 substitutions per site. The ribotype (or sequence type) of each source strain is displayed adjacent to the strain name. Ribotypes with multiple representatives have multicolored labels, while black labels indicate ribotypes with only one representative on the tree. Toxinotypes for each strain are indicated to the right of the ribotype for each strain.</p>
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<p><b>Cwp2 homology.</b> Cwp2 sequences were aligned with MUSCLE and visualized with Jalview. The Jalview-calculated conservation scores are reported below the alignment from 0 (no conservation) to 11 (identical sequences). The ribotype of each source strain is displayed adjacent to the strain name and are color-coded for easier identification. The conserved amino acid sequences are highlighted in blue.</p>
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<p>(<b>A</b>) Expression and purification of Cwp2_A. Cwp2_A was cloned in <span class="html-italic">E. Coli</span> BL21, and the protein was purified and analyzed on SDS-PAGE. (<b>B</b>) Immunization with Cwp2_A via the intraperitoneal (i.p.) route elicited anti-Cwp2_A antibody responses. Groups of mice (<span class="html-italic">n</span> = 5–8) were immunized three times with 10 µg or 20 µg of Cwp2_A with aluminum. In (<b>C</b>–<b>E</b>), 20 µg of protein was used. Anti-Cwp2_A IgG/IgA titers in sera and feces were determined using an ELISA analysis. Data are presented as the mean ± SEM (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; ns, not significant; 2nd and 3rd IM vs. 1st IM in (<b>C</b>–<b>E</b>)).</p>
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<p><b>Immunization with Cwp2_A provides mice significant protection against infection with <span class="html-italic">C. difficile</span>.</b> Immunized mice or controls (non-immunized mice) (<span class="html-italic">n</span> = 10) were challenged with <span class="html-italic">C. difficile</span> R20291 spores (10<sup>6</sup>/mouse). Survivals (<b>A</b>), weight changes (<b>B</b>), and diarrhea percentages (<b>C</b>) are shown. Data are presented as the mean ± SEM (ns, not significant; * <span class="html-italic">p</span> &lt; 0.05; in (B), immunization with 20 µg vs. control).</p>
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<p><b>Immunization of with Cwp2_A reduces <span class="html-italic">C. difficile</span> spore and toxin levels in feces of <span class="html-italic">C. difficile</span> R20291-infected mice.</b> <span class="html-italic">C. difficile</span> toxin (<b>A</b>,<b>B</b>) and spore (<b>C</b>) levels in feces were determined. Data are presented as the mean ± SEM. (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 versus control).</p>
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<p><b>Anti-Cwp2_A serum inhibits adhesion of <span class="html-italic">C. difficile</span> to HCT8 cells.</b> The adhesion assay was performed as described in the methods. Experiments were independently repeated three times, and data are presented as the mean ± SEM (* <span class="html-italic">p</span> &lt; 0.05 vs. treatment with pre-immune serum).</p>
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<p><b>T cell responses.</b> Splenocytes from immunized (<span class="html-italic">n</span> = 3–4) and unimmunized (<span class="html-italic">n</span> = 4) mice were isolated 13 days after the second immunization with Cwp2_A and stimulated with Cwp2_A at 10 µg/mL for 72 h (<b>A</b>,<b>B</b>) or 6 h (<b>C</b>). The proliferative responses of CD4+ (<b>A</b>) and CD8+ (<b>B</b>) T cells were assayed by staining with appropriate antibodies and were analyzed by flow cytometry. (<b>C</b>) IL-17, IFN-γ, and TNF-α expression in the spleen cells was determined by qPCR processing. The y-axis value indicates the expression ratio relative to GAPDH. Data are presented as the mean ± SEM (N = 3, * <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, ns, not significant).</p>
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18 pages, 2423 KiB  
Article
Can Gut Microbiota Analysis Reveal Clostridioides difficile Infection? Evidence from an Italian Cohort at Disease Onset
by Roberto Rosato, Gianluca Quaranta, Giulia Santarelli, Giovanni Fancello, Delia Mercedes Bianco, Francesca Romana Monzo, Stefano Bibbò, Giovanni Cammarota, Maurizio Sanguinetti, Luca Masucci and Flavio De Maio
Microorganisms 2025, 13(1), 16; https://doi.org/10.3390/microorganisms13010016 - 25 Dec 2024
Viewed by 355
Abstract
A diverse and well-functioning gut microbiota normally serves as a protective shield against the invasion of harmful bacteria or the proliferation of opportunistic pathogens. Clostridioides difficile infection (CDI) is predominantly associated with the overuse of antibiotics, resulting in a significant alteration in the [...] Read more.
A diverse and well-functioning gut microbiota normally serves as a protective shield against the invasion of harmful bacteria or the proliferation of opportunistic pathogens. Clostridioides difficile infection (CDI) is predominantly associated with the overuse of antibiotics, resulting in a significant alteration in the gut’s microbial balance. Unfortunately, the lack of global standardization does not allow for the identification of a set of biomarkers associated with the onset and progression of this disease. In this study, we examined the composition of the gut microbiota in patients at the time of the initial detection of CDI compared to a control group of CDI-negative individuals, with a focus on identifying potential CDI biomarkers for diagnosis. While no significant differences in the alpha and beta diversity between CDI-negative and CDI-positive individuals were found, we found that certain genera (such as Clostridium XIVa and Clostridium XVIII) showed different abundance patterns in the two groups, indicating potential differences in gut microbiota balance. In conclusion, am enrichment in Clostridium XI and a decrease in Faecalibacterium emerged in the CDI-positive patients and following antibiotic treatment, indicating that changes in the Clostridium/Faecalibacterium ratio may be a promising biomarker that warrants further investigation for CDI diagnosis. Full article
(This article belongs to the Section Gut Microbiota)
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<p>Representative scheme of the criteria used for the selection of patients within the CDI-positive and CDI-negative groups.</p>
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<p>Gut microbiota analysis of the patients with or without CDI by sequencing the V1-V3 (sol.A) 16S RNA hypervariable regions. The alpha diversity was shown as the Shannon diversity index (<b>a</b>) and Pielou’s evenness (<b>b</b>), with both represented as a combination of violin plots and dot plot charts. The beta diversity was evaluated by using the Bray–Curtis distance and graphically represented using a principal coordinate analysis (PCoA) (<b>c</b>). Relative abundance is shown for the top 20 genera as a bar chart (<b>d</b>).</p>
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<p>Gut microbiota analysis of the patients with or without CDI by sequencing the V3-V4 and V6 (sol.B) 16S RNA hypervariable regions. The alpha diversity was shown as the Shannon diversity index (<b>a</b>) and Pielou’s evenness (<b>b</b>), with both represented as a combination of violin plots and dot plot charts. The beta diversity was evaluated by using the Bray–Curtis distance and graphically represented using principal coordinate analysis (PCoA) (<b>c</b>). Relative abundance is shown for the top 20 genera as a bar chart (<b>d</b>).</p>
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<p>Evaluation of the relative abundance of the genera <span class="html-italic">Clostridium</span> XI, <span class="html-italic">Clostridium</span> XIVa, <span class="html-italic">Clostridium</span> XVIII, and <span class="html-italic">Faecalibacterium</span> in CDI-positive and CDI-negative patients using microbiota solution A (<b>A</b>) and microbiota solution B (<b>B</b>). Data are reported for each sample together with a box plot with organization according to Tukey’s method. (*, <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).</p>
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<p>Impact of the antibiotic treatment on the gut microbiota of patients with or without CDI by sequencing the V1-V3 (sol.A, (<b>a</b>)) and V3-V4 and V6 (sol.B, (<b>b</b>)) 16S RNA hypervariable regions. Beta diversity, evaluated by using the Bray–Curtis distance and graphically represented using a principal coordinate analysis (PCoA), was reported (in green, CDI-negative samples; in red and gold, CDI samples or CDI samples of patients who had been administered the antibiotic treatment, respectively). Size and color opacity are used to depict the Shannon diversity index and Pielou’s evenness. Bubble plot graphs (sol.A and sol.B: (<b>c</b>) and (<b>d</b>), respectively) report the relative abundance of the genera <span class="html-italic">Clostridium</span> XI (y-axis) and <span class="html-italic">Clostridium</span> XIVa (x-axis), <span class="html-italic">Faecalibacterium</span>, and <span class="html-italic">Clostridium</span> XVIII (sol.A) or <span class="html-italic">unclassified Clostridiales</span> (sol.B).</p>
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10 pages, 468 KiB  
Article
Study on the Efficacy and Safety of Tedizolid in Japanese Patients
by Kazuhiro Ishikawa, Yasumasa Tsuda and Nobuyoshi Mori
Antibiotics 2024, 13(12), 1237; https://doi.org/10.3390/antibiotics13121237 - 23 Dec 2024
Viewed by 758
Abstract
Background/Objective: Tedizolid (TZD), an oxazolidinone, causes fewer adverse events than linezolid (LZD). However, studies on the long-term efficacy and safety of TZD, particularly in patients with hematological malignancies (HMs), remain limited. This study aimed to evaluate the safety of long-term TZD use [...] Read more.
Background/Objective: Tedizolid (TZD), an oxazolidinone, causes fewer adverse events than linezolid (LZD). However, studies on the long-term efficacy and safety of TZD, particularly in patients with hematological malignancies (HMs), remain limited. This study aimed to evaluate the safety of long-term TZD use in Japanese patients, including those with HM. Methods: We retrospectively reviewed the medical records of patients aged 15 years and older who received TZD treatment at St. Luke’s International Hospital between 2018 and 2023. Patient demographics, treatment duration, adverse events, and clinical outcomes were analyzed. Results: Data from 35 patients and 40 treatment episodes were analyzed, including 13 episodes in patients with HM, of whom 65.0% were male, with a median age of 69.0 years (IQR: 24.5 years). The median treatment duration was 13.5 days (IQR: 46.8), with a maximum of 203 days. TZD was switched from other anti-MRSA agents in 82.5% of cases, including 42.5% from LZD. One patient discontinued TZD due to liver dysfunction, attributed to concomitant medication use. Clinical cure rates were significantly higher in the non-HM group compared to the HM group (88.9% vs. 38.5%). The 90-day mortality rate differed notably between the HM and non-HM groups (69.2% and 3.7%). Despite 100% microbiological eradication, infection-related mortality rates were 3.7% in the non-HM and 38.5% in the HM group. No reported cases of optic neuritis, Clostridioides difficile colitis, or major bleeding; Conclusions: TZD appears to be safe for long-term use, regardless of HM status, with no major complications observed in this cohort. Full article
(This article belongs to the Section Antibiotic Therapy in Infectious Diseases)
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<p>The diagram of patient selection flow.</p>
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16 pages, 1498 KiB  
Article
The Use of Gel Electrophoresis to Separate Multiplex Polymerase Chain Reaction Amplicons Allows for the Easy Identification and Assessment of the Spread of Toxigenic Clostridioides difficile Strains
by Tomasz Bogiel, Patrycja Kwiecińska, Robert Górniak, Piotr Kanarek and Agnieszka Mikucka
Gels 2024, 10(12), 818; https://doi.org/10.3390/gels10120818 - 12 Dec 2024
Viewed by 634
Abstract
Clostridioides difficile is a common etiological factor of hospital infections, which, in extreme cases, can lead to the death of patients. Most strains belonging to this bacterium species synthesize very dangerous toxins: toxin A (TcdA) and B (TcdB) and binary toxin (CDT). The [...] Read more.
Clostridioides difficile is a common etiological factor of hospital infections, which, in extreme cases, can lead to the death of patients. Most strains belonging to this bacterium species synthesize very dangerous toxins: toxin A (TcdA) and B (TcdB) and binary toxin (CDT). The aim of this study was to assess the suitability of agarose gel electrophoresis separation of multiplex PCR amplicons to investigate the toxinogenic potential of C. difficile strains. Additionally, the frequency of C. difficile toxin genes and the genotypes of toxin-producing strains were determined. Ninety-nine C. difficile strains were used in the detection of the presence of genes encoding all of these toxins using the multiplex PCR method. In 85 (85.9%) strains, the presence of tcdA genes encoding enterotoxin A was detected. In turn, in 66 (66.7%) isolates, the gene encoding toxin B (tcdB) was present. The lowest number of strains tested was positive for genes encoding a binary toxin. Only 31 (31.3%) strains possessed the cdtB gene and 22 (22.2%) contained both genes for the binary toxin subunits (the cdtB and cdtA genes). A relatively large number of the strains tested had genes encoding toxins, whose presence may result in a severe course of disease. Therefore, the accurate diagnosis of patients, including the detection of all known C. difficile toxin genes, is very important. The multiplex PCR method allows for the quick and accurate determination of whether the tested strains of this bacterium contain toxin genes. Agarose gel electrophoresis is a useful tool for visualizing amplification products, allowing one to confirm the presence of specific C. difficile toxin genes as well as investigate their dissemination for epidemiological purposes. Full article
(This article belongs to the Special Issue Gels in Separation Science)
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<p>The diversity and number of the detected toxinogenotypes among <span class="html-italic">Clostridioides difficile</span> strains (<span class="html-italic">n</span> = 99), where <span class="html-italic">cdtA</span>+—presence of the gene encoding the A subunit of the binary toxin, <span class="html-italic">cdtA</span>−—no gene present, <span class="html-italic">cdtB</span>+—presence of the gene encoding the B subunit of the binary toxin, <span class="html-italic">cdtB</span>−—no gene present, <span class="html-italic">gluD</span>+—presence of the gene encoding glutamate dehydrogenase, <span class="html-italic">gluD</span>−—no gene present, <span class="html-italic">tcdA</span>+—presence of the gene encoding toxin A, <span class="html-italic">tcdA</span>−—no gene present, <span class="html-italic">tcdB</span>+—presence of the gene encoding toxin B, <span class="html-italic">tcdB</span>−—no gene present.</p>
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<p>Example of agarose gel electrophoretic separation of the amplification products using the multiplex PCR technique for the <span class="html-italic">tcdA</span> (629 bp), <span class="html-italic">tcdB</span> (410 bp), <span class="html-italic">cdtB</span> (262 bp), <span class="html-italic">cdtA</span> (221 bp), and <span class="html-italic">gluD</span> (158 bp) genes, where <span class="html-italic">cdtA</span>—binary toxin subunit A gene; <span class="html-italic">cdtB</span>—binary toxin subunit B gene; <span class="html-italic">gluD</span>—glutamate dehydrogenase gene; <span class="html-italic">tcdA</span>—toxin A gene; <span class="html-italic">tcdB</span>—toxin B gene; M—DNA size marker 100–1000 base pairs; the lines labelled 40–46, 117—numbers of the tested strains; 42, 46, and K (+)—positive controls of the amplification reaction for all the investigated genes, and the remaining samples with the <span class="html-italic">gluD</span>, <span class="html-italic">tcdA,</span> and <span class="html-italic">tcdB</span> genes only; K (−)—negative control of the amplification reaction.</p>
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9 pages, 418 KiB  
Article
Factors for Treatment Failure After Fecal Microbiota Transplantation in Clostridioides difficile Infection
by Soo-Hyun Park, Jung-Hwan Lee, Suhjoon Lee, Jongbeom Shin, Boram Cha, Ji-Taek Hong and Kye Sook Kwon
Microorganisms 2024, 12(12), 2539; https://doi.org/10.3390/microorganisms12122539 - 9 Dec 2024
Viewed by 702
Abstract
Recently, fecal microbiota transplantation (FMT) has been introduced as an effective treatment option for Clostridioides difficile infection (CDI). However, the risk factors associated with FMT treatment failure have not been well demonstrated. Therefore, we aimed to investigate the risk factors of treatment failure [...] Read more.
Recently, fecal microbiota transplantation (FMT) has been introduced as an effective treatment option for Clostridioides difficile infection (CDI). However, the risk factors associated with FMT treatment failure have not been well demonstrated. Therefore, we aimed to investigate the risk factors of treatment failure or recurrence after FMT for CDI. This retrospective study included 124 patients with CDI who underwent FMT at Inha University Hospital between November 2017 and August 2021 and were followed up for 8 weeks after FMT for symptoms of CDI. FMT failure was defined as diarrhea recurrence or a positive stool test. We assessed the risk factors for treatment failure, including comorbidities, antibiotic use pre- and post-FMT, and the number of CDI episodes before FMT. Ninety-three patients (75%) experienced symptom improvement <7 days after FMT, while treatment failure occurred in 40 patients (32.3%). Multivariate analysis revealed that males had a lower symptom improvement rate <7 days after FMT (p = 0.049). Patients using antibiotics after FMT showed a higher rate of recurrence or treatment failure in <8 weeks (p = 0.032). Patients requiring antibiotics after FMT should be considered at higher risk of treatment failure. Careful antibiotic stewardship, particularly minimizing non-essential antibiotic use before and after FMT, may significantly enhance treatment outcomes. Further large-scale prospective studies are warranted to confirm these findings and develop targeted antibiotic management protocols for improving the efficacy of FMT in CDI treatment. Full article
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<p>Flowchart of patient selection for the investigation of <span class="html-italic">Clostridium difficile</span> infection treatment failure in fecal microbiota transplantation.</p>
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13 pages, 743 KiB  
Article
Clostridioides difficile Infections and Antibiotherapy: Results of Four Years of Observation in a Romanian Tertiary Hospital
by Carmen-Cristina Vasile, Luisa-Andreea Gheorghe, Carmen-Daniela Chivu, Marta Ana Maria Anghel, Ștefan Eduard Mîinea, Daniela Pițigoi and Maria-Dorina Crăciun
Microorganisms 2024, 12(12), 2490; https://doi.org/10.3390/microorganisms12122490 - 3 Dec 2024
Viewed by 753
Abstract
Clostridioides difficile infection (CDI) is one of the main causes of morbidity associated with antibiotic use, producing both healthcare-associated infections and community infections. This study aims to describe the epidemiological characteristics, the clinical outcomes, previous antibiotic exposure, and other risk factors of hospitalized [...] Read more.
Clostridioides difficile infection (CDI) is one of the main causes of morbidity associated with antibiotic use, producing both healthcare-associated infections and community infections. This study aims to describe the epidemiological characteristics, the clinical outcomes, previous antibiotic exposure, and other risk factors of hospitalized patients with CDI in a tertiary infectious disease hospital in Bucharest, Romania. We performed a descriptive analysis based on four-year surveillance data, collected in a tertiary infectious disease hospital in Bucharest, Romania. The annual incidence of CDIs varied from 65.1 cases per 10,000 discharges in 2020 to 211.7 cases per 10,000 discharges in 2023, with a continuously ascending trend. Most of the cases were hospital-acquired cases. There was a high share of antibiotic consumption three months before admission (61.3%). Third-generation cephalosporins, β-lactams with inhibitor combination, and carbapenems were the most used antibiotics, with shares of 46.0%, 25.2%, and 18.6%, respectively. Hospitalization in the previous 12 months and contact with a confirmed CDI case were other frequent factors in the study group, the occurrences of which were recorded as 66.2% and 2.4%, respectively. The surveillance data identified that the annual trend in CDIs is very variable, suggesting the need for continuous and multiannual analysis. Full article
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<p>Monthly number of CDI cases reported by season during 2020–2022. (Note: the whiskers indicate the 95th percentiles and the asterisk indicates an outlier).</p>
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<p>Antibiotic exposure by antibiotic class and origin of CDI case during 2020–2023 (<span class="html-italic">n</span> = 390).</p>
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23 pages, 523 KiB  
Systematic Review
The Efficacy of Fecal Microbiota Transplantation in Mouse Models Infected with Clostridioides difficile from the Perspective of Metabolic Profiling: A Systematic Review
by Anna Voziki, Olga Deda and Melania Kachrimanidou
Metabolites 2024, 14(12), 677; https://doi.org/10.3390/metabo14120677 - 3 Dec 2024
Viewed by 727
Abstract
Objectives: This systematic review evaluates the effectiveness of fecal microbiota transplantation (FMT) in treating Clostridioides difficile infection (CDI) in mouse models using a metabolomics-based approach. Methods: A comprehensive search was conducted in three databases (PubMed, Scopus, Google Scholar) from 10 April [...] Read more.
Objectives: This systematic review evaluates the effectiveness of fecal microbiota transplantation (FMT) in treating Clostridioides difficile infection (CDI) in mouse models using a metabolomics-based approach. Methods: A comprehensive search was conducted in three databases (PubMed, Scopus, Google Scholar) from 10 April 2024 to 17 June 2024. Out of the 460 research studies reviewed and subjected to exclusion criteria, only 5 studies met all the inclusion criteria and were analyzed. Results: These studies consistently showed that FMT effectively restored gut microbiota and altered metabolic profiles, particularly increasing short-chain fatty acids (SCFAs) and secondary bile acids, which inhibited C. difficile growth. FMT proved superior to antibiotic and probiotic treatments in re-establishing a healthy gut microbiome, as evidenced by significant changes in the amino acid and carbohydrate levels. Despite its promise, variability in the outcomes—due to factors such as immune status, treatment protocols, and donor microbiome differences—underscores the need for standardization. Rather than pursuing immediate standardization, the documentation of factors such as donor and recipient microbiome profiles, preparation methods, and administration details could help identify optimal configurations for specific contexts and patient needs. In all the studies, FMT was successful in restoring the metabolic profile in mice. Conclusions: These findings align with the clinical data from CDI patients, suggesting that FMT holds potential as a therapeutic strategy for gut health restoration and CDI management. Further studies could pave the way for adoption in clinical practice. Full article
(This article belongs to the Special Issue Preclinical and Clinical Application of Metabolomics in Medicine)
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<p>PRISMA flow chart for identification of studies via databases and registers.</p>
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13 pages, 4957 KiB  
Article
Whole-Genome Sequencing-Based Characterization of Clostridioides difficile Infection Cases at the University Hospital Centre Zagreb
by Marko Siroglavic, Paul G. Higgins, Lucija Kanizaj, Ivana Ferencak, Dragan Juric, Goran Augustin and Ana Budimir
Microorganisms 2024, 12(12), 2434; https://doi.org/10.3390/microorganisms12122434 - 27 Nov 2024
Viewed by 623
Abstract
We investigated the intra-hospital distribution of C. difficile strains by whole-genome sequencing (WGS) of isolates collected in 2022 at the University Hospital Centre (UHC) Zagreb. In total, 103 patients with first-episode CDI in 2022 at UHC Zagreb were included, based on the screening [...] Read more.
We investigated the intra-hospital distribution of C. difficile strains by whole-genome sequencing (WGS) of isolates collected in 2022 at the University Hospital Centre (UHC) Zagreb. In total, 103 patients with first-episode CDI in 2022 at UHC Zagreb were included, based on the screening stool antigen test for GDH (RidaQuick CD GDH; R-Biopharm AG, Germany), confirmed by Eazyplex C. difficile assays (Eazyplex CD assay; AmplexDiagnostics GmbH, Germany) specific for A, B, and binary toxins. Demographic and clinical data were retrospectively analyzed from electronic medical records. All samples were subjected to WGS analysis. Genetic clusters were formed from isolates with no more than six allelic differences according to core genome MLST. We identified six clusters containing 2–59 isolates with 15 singletons and 30 instances of possible intra-hospital transmission, mostly in the COVID-19 ward. WGS analysis proved useful in identifying clusters of isolates connecting various patient wards with possible transmission routes in the hospital setting. It could be used to support local and national surveillance of CDI infections and their transmission pathways. Full article
(This article belongs to the Special Issue Advances in Human Infection)
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<p>Ward distribution of <span class="html-italic">C. difficile</span> samples. Number of isolates.</p>
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<p>Genomic structure of the <span class="html-italic">C. difficile</span> samples. A minimum spanning tree of 103 <span class="html-italic">C. difficile</span> isolates was generated using Ridom SeqSphere+ based on 3504 columns (core and accessory genome), pairwise and ignoring missing values. Distance is based on columns from <span class="html-italic">C. difficile</span> cgMLST v2 (2147) and Accessory v2 (1357). The cluster distance threshold is 3 allelic differences. Color shading in the background is different in identified clusters. (<b>A</b>) ST1 isolates, comprising 4 distinct clusters, ST1-C1, ST1-C2, ST1-C3, ST1-C4, and two ST1 singletons. (<b>B</b>) ST2, ST8, ST12, ST13, ST15, ST35, ST48, and ST110 singletons. (<b>C</b>) ST3 isolates, comprising 3 distinct clusters, ST3-C5, ST3-C6, ST3-C7, and an ST3 singleton.</p>
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<p>Genomic structure of the ST1 and ST3 clusters. A minimum spanning tree was generated using Ridom SeqSphere+. The distance based on columns from <span class="html-italic">C. difficile</span> cgMLST v2 (2147) and Accessory v2 (1357). The cluster distance threshold is 3 allelic differences. ST1 (ST1-C1, ST1-C2, ST1-C3, and ST1-C4) and ST3 (ST3-C5, ST3-C6, and ST3-C7) clusters were identified.</p>
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<p>Distribution of antimicrobial resistance determinants (ARDs). Identified by the ResFinder and CARD databases, presented as the number of isolates. (<b>A</b>) Macrolide, lincosamide, and streptogramin B ARDs. (<b>B</b>) Aminoglycoside ARDs. (<b>C</b>) Fluoroquinolone ARDs. (<b>D</b>) Streptothricin, trimethoprim, chloramphenicol, and tetracycline ARDs.</p>
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<p>Nosocomial transmission information. Timeline of patients with genetically linked isolates. Cluster, patient ward, and time on ward indicated.</p>
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<p>Nosocomial transmission in the COVID-19 ward. Timeline of patients with genetically linked isolates.</p>
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31 pages, 5285 KiB  
Article
Gene Expression Dysregulation in Whole Blood of Patients with Clostridioides difficile Infection
by Maria Tsakiroglou, Anthony Evans, Alejandra Doce-Carracedo, Margaret Little, Rachel Hornby, Paul Roberts, Eunice Zhang, Fabio Miyajima and Munir Pirmohamed
Int. J. Mol. Sci. 2024, 25(23), 12653; https://doi.org/10.3390/ijms252312653 - 25 Nov 2024
Viewed by 754
Abstract
Clostridioides difficile (C. difficile) is a global threat and has significant implications for individuals and health care systems. Little is known about host molecular mechanisms and transcriptional changes in peripheral immune cells. This is the first gene expression study in whole [...] Read more.
Clostridioides difficile (C. difficile) is a global threat and has significant implications for individuals and health care systems. Little is known about host molecular mechanisms and transcriptional changes in peripheral immune cells. This is the first gene expression study in whole blood from patients with C. difficile infection. We took blood and stool samples from patients with toxigenic C. difficile infection (CDI), non-toxigenic C. difficile infection (GDH), inflammatory bowel disease (IBD), diarrhea from other causes (DC), and healthy controls (HC). We performed transcriptome-wide RNA profiling on peripheral blood to identify diarrhea common and CDI unique gene sets. Diarrhea groups upregulated innate immune responses with neutrophils at the epicenter. The common signature associated with diarrhea was non-specific and shared by various other inflammatory conditions. CDI had a unique 45 gene set reflecting the downregulation of humoral and T cell memory functions. Dysregulation of immunometabolic genes was also abundant and linked to immune cell fate during differentiation. Whole transcriptome analysis of white cells in blood from patients with toxigenic C. difficile infection showed that there is an impairment of adaptive immunity and immunometabolism. Full article
(This article belongs to the Section Molecular Microbiology)
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<p>Graphical summary of methodology: (i) To identify diarrhea common immune responses in peripheral blood, each diarrhea group (blue boxes) was compared with HC (green box), and the overlapped genes in all four differential expression analyses were extracted. (ii) To identify CDI unique genes, CDI was compared with each of the control groups (red outline), and the overlapped genes in all four differential expression analyses were extracted. (iii) Functional annotation of differentially expressed genes and gene sets was performed with GSEA and literature searches. (<b>a</b>) Cases and controls and (<b>b</b>) Analysis plan. <sup>¥</sup> The primary filter for DE analysis was FDR adj. <span class="html-italic">p</span> &lt; 0.05. When gene-sets were required to have a maximum number for GSEA (e.g., String database 3000 proteins max), |log<sub>2</sub>FC| &lt; 0.5 was added. To reduce further the number of genes for literature searches, we used the top 20 genes with the highest |log<sub>2</sub>FC|, <sup>ↄ</sup>: GSEA was performed using R studio (Reactome pathways), IPA (summary and comparison), and String online database. DE: differential expression, CDI: toxigenic <span class="html-italic">C. difficile</span> infection, GDH: non-toxigenic <span class="html-italic">C. difficile</span> infection, IBD: inflammatory bowel disease, DC: diarrhea controls, HC: healthy controls, NICE: National Institute for Health and Care Excellence, GSEA: gene set enrichment analysis, EBI: European Bioinformatics Institute, FDR adj. <span class="html-italic">p</span>: false discovery rate adjusted <span class="html-italic">p</span>-value, |log<sub>2</sub>FC|: an absolute value of logarithm with base 2 of fold change, IPA: Ingenuity Pathway Analysis by QIAGEN.</p>
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<p>Principal component analysis (PCA) normalized gene expression data for each sample, colored by participant groups. CDI: toxigenic <span class="html-italic">C. difficile</span> infection, GDH: non-toxigenic <span class="html-italic">C. difficile</span> infection, IBD: inflammatory bowel disease, DC: diarrhea controls, HC: healthy controls, PC1: primary component 1, PC2: primary component 2.</p>
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<p>Volcano plots (<b>a</b>–<b>d</b>) of differential expression (DE) analysis of diarrhea groups vs. HC where genes with FDR adjusted <span class="html-italic">p</span> &lt; 0.05 are displayed in blue, with darker blue points indicating those with |log<sub>2</sub>FC| &gt; 0.5. CDI: toxigenic <span class="html-italic">C. difficile</span> infection, GDH: non-toxigenic <span class="html-italic">C. difficile</span> infection, IBD: inflammatory bowel disease, DC: diarrhea controls, HC: healthy controls, FDR adj. <span class="html-italic">p</span>: false discovery rate adjusted <span class="html-italic">p</span>-value, |log<sub>2</sub>FC|: logarithm with base 2 of fold change.</p>
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<p>Enrichment summaries of differentially expressed genes with FDR adjusted <span class="html-italic">p</span> &lt; 0.05 and|log<sub>2</sub>FC| &gt; 0.5 between CDI vs. HC (<b>a</b>), GDH vs. HC (<b>b</b>), IBD vs. HC (<b>c</b>) and DC vs. HC (<b>d</b>) developed with IPA. CDI: toxigenic <span class="html-italic">C. difficile</span> infection, GDH: non-toxigenic <span class="html-italic">C. difficile</span> infection, IBD: inflammatory bowel disease, DC: diarrhea controls, HC: healthy controls, FDR adj. <span class="html-italic">p</span>: false discovery rate adjusted <span class="html-italic">p</span>-value, |log<sub>2</sub>FC|: logarithm with base 2 of fold change, IPA: ingenuity pathway analysis.</p>
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<p>Enrichment summaries of differentially expressed genes with FDR adjusted <span class="html-italic">p</span> &lt; 0.05 and|log<sub>2</sub>FC| &gt; 0.5 between CDI vs. HC (<b>a</b>), GDH vs. HC (<b>b</b>), IBD vs. HC (<b>c</b>) and DC vs. HC (<b>d</b>) developed with IPA. CDI: toxigenic <span class="html-italic">C. difficile</span> infection, GDH: non-toxigenic <span class="html-italic">C. difficile</span> infection, IBD: inflammatory bowel disease, DC: diarrhea controls, HC: healthy controls, FDR adj. <span class="html-italic">p</span>: false discovery rate adjusted <span class="html-italic">p</span>-value, |log<sub>2</sub>FC|: logarithm with base 2 of fold change, IPA: ingenuity pathway analysis.</p>
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<p>(<b>a</b>) Venn diagram of diarrhea groups vs. HC (FDR adj. <span class="html-italic">p</span>-value &lt; 0.05) and (<b>b</b>) Reactome pathways from GSEA of pooled t statistics comparing all diarrhea groups vs. HC. CDI: toxigenic <span class="html-italic">C. difficile</span> infection, GDH: non-toxigenic <span class="html-italic">C. difficile</span> infection, IBD: inflammatory bowel disease, DC: diarrhea controls, HC: healthy controls, FDR adj. <span class="html-italic">p</span>: false discovery rate adjusted <span class="html-italic">p</span>-value.</p>
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<p>Venn diagram representing the overlap of differentially expressed genes between IBD and HC (FDR adj. <span class="html-italic">p</span>-value &lt; 0.05 and |log<sub>2</sub>FC| &gt; 0.5) among our cohort (IBD vs. HC) and published studies [<a href="#B48-ijms-25-12653" class="html-bibr">48</a>,<a href="#B49-ijms-25-12653" class="html-bibr">49</a>,<a href="#B50-ijms-25-12653" class="html-bibr">50</a>]. IBD: inflammatory bowel disease, HC: healthy controls.</p>
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<p>Differential expression (DE) analysis of CDI vs. diarrhea groups. (<b>a</b>–<b>c</b>) Volcano plots where genes with FDR adjusted <span class="html-italic">p</span> &lt; 0.05 are displayed in blue, with darker blue points indicating those considered differentially expressed for IPA. (<b>d</b>–<b>f</b>) Enrichment summaries of genes with |log<sub>2</sub>FC| &gt; 0.5. CDI: toxigenic <span class="html-italic">C. difficile</span> infection, GDH: non-toxigenic <span class="html-italic">C. difficile</span> infection, IBD: inflammatory bowel disease, DC: diarrhea controls, FDR adj. <span class="html-italic">p</span>: false discovery rate adjusted <span class="html-italic">p</span>-value, |log<sub>2</sub>FC|: logarithm with base 2 of fold change, IPA: Ingenuity Pathway Analysis.</p>
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<p>(<b>a</b>) Top 20 canonical pathways of the IPA comparison of CDI vs. HC, CDI vs. DC, CDI vs. IBD, and CDI vs. GDH (|z-score| &gt; 2) and (<b>b</b>) Venn diagram of CDI vs. all control groups (FDR adj. <span class="html-italic">p</span>-value &lt; 0.05). CDI: toxigenic <span class="html-italic">C. difficile</span> infection, GDH: non-toxigenic <span class="html-italic">C. difficile</span> infection, IBD: inflammatory bowel disease, DC: diarrhea controls, HC: healthy controls, FDR adj. <span class="html-italic">p</span>: false discovery rate adjusted <span class="html-italic">p</span>-value.</p>
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<p>(<b>a</b>) Top 20 canonical pathways of the IPA comparison of CDI vs. HC, CDI vs. DC, CDI vs. IBD, and CDI vs. GDH (|z-score| &gt; 2) and (<b>b</b>) Venn diagram of CDI vs. all control groups (FDR adj. <span class="html-italic">p</span>-value &lt; 0.05). CDI: toxigenic <span class="html-italic">C. difficile</span> infection, GDH: non-toxigenic <span class="html-italic">C. difficile</span> infection, IBD: inflammatory bowel disease, DC: diarrhea controls, HC: healthy controls, FDR adj. <span class="html-italic">p</span>: false discovery rate adjusted <span class="html-italic">p</span>-value.</p>
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14 pages, 3086 KiB  
Article
Should the Faecal Microbiota Composition Be Determined to Certify a Faecal Donor?
by Celia Morales, Luna Ballestero, Patricia del Río, Raquel Barbero-Herranz, Leticia Olavarrieta, Leticia Gómez-Artíguez, Javier Galeano, José Avendaño-Ortiz, Juan Basterra and Rosa del Campo
Diagnostics 2024, 14(23), 2635; https://doi.org/10.3390/diagnostics14232635 - 22 Nov 2024
Viewed by 710
Abstract
Background/Objectives: Faecal microbiota transplantation (FMT) is considered a safe and effective therapy for recurrent Clostridioides difficile infection. It is the only current clinical indication for this technique, although numerous clinical research studies and trials propose its potential usefulness for treating other pathologies. Donor [...] Read more.
Background/Objectives: Faecal microbiota transplantation (FMT) is considered a safe and effective therapy for recurrent Clostridioides difficile infection. It is the only current clinical indication for this technique, although numerous clinical research studies and trials propose its potential usefulness for treating other pathologies. Donor selection is a very rigorous process, based on a personal lifestyle interview and the absence of known pathogens in faeces and serum, leading to only a few volunteers finally achieving the corresponding certification. However, despite the high amount of data generated from the ongoing research studies relating microbiota and health, there is not yet a consensus defining what is a “healthy” microbiota. To date, knowledge of the composition of the microbiota is not a requirement to be a faecal donor. The aim of this work was to evaluate whether the analysis of the composition of the microbiota by massive sequencing of 16S rDNA could be useful in the selection of the faecal donors. Methods: Samples from 10 certified donors from Mikrobiomik Healthcare Company were collected and sequenced using 16S rDNA in a MiSeq (Illumina) platform. Alpha (Chao1 and Shannon indices) and beta diversity (Bray–Curtis) were performed using the bioinformatic web server Microbiome Analyst. The differences in microbial composition at the genera and phyla levels among the donors were evaluated. Results: The microbial diversity metric by alpha diversity indexes showed that most donors exhibited a similar microbial diversity and richness, whereas beta diversity by 16S rDNA sequencing revealed significant inter-donor differences, with a more stable microbial composition over time in some donors. The phyla Bacillota and Bacteroidota were predominant in all donors, while the density of other phyla, such as Actinomycota and Pseudomonota, varied among individuals. Each donor exhibited a characteristic genera distribution pattern; however, it was possible to define a microbiome core consisting of the genera Agathobacter, Eubacterium, Bacteroides, Clostridia UCG-014 and Akkermansia. Conclusions: The results suggest that donor certification does not need to rely exclusively on their microbiota composition, as it is unique to each donor. While one donor showed greater microbial diversity and richness, clear criteria for microbial normality and health have yet to be established. Therefore, donor certification should focus more on clinical and lifestyle aspects. Full article
(This article belongs to the Special Issue Microbiology Laboratory: Sample Collection and Diagnosis Advances)
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<p>Alpha diversity values for each donor’s samples regarding the number and abundance of amplicon sequence variants (ASVs). (<b>A</b>) Chao1 index for richness in genera species (Kruskal–Wallis statistic 50.999, <span class="html-italic">p</span>-value &lt; 0.001) and (<b>B</b>) Shannon index for abundance distribution of the genera (Kruskal–Wallis statistic 58.989, <span class="html-italic">p</span>-value &lt; 0.001).</p>
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<p>Beta diversity values for each donor and sample. Principal coordinate analyses (PCoA) of the Bray–Curtis comparison (F-value: 22.98; R-squared: 0.77; <span class="html-italic">p</span>-value &gt; 0.001). The ellipse size represents microbial composition variations among samples from each faecal donor.</p>
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<p>Phyla distribution in the different samples of each donor. The most abundant phyla are Bacillota and Bacteroidota. Median values for each donor were obtained from their samples and are represented as individual values.</p>
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<p>Microbial community structure in certified faecal donors. Relative (<b>A</b>) and total abundance (<b>B</b>) of the genera identified by each donor and sample are shown.</p>
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<p>Microbiota core of certified faecal donors defined by the relative abundance (%) of the main genera (<span class="html-italic">X</span>-axis) and their prevalence, represented by a colour scale (red: high prevalence, light blue: medium or low prevalence, dark blue: very low prevalence).</p>
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<p>Clustering of faecal microbiota composition in certified faecal donors. Each column represents a sample from the 10 donors evaluated, and each row represents a bacterial genus identified in the microbiota by 16S rDNA sequencing. Hierarchical clustering was applied using a Euclidean distance matrix and the Ward linkage method. The colour scale of the heatmap indicates the relative abundance of a specific bacterial genus corresponding to a sample. Donors are represented in green, and the numbers corresponded to the number connections between genera.</p>
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23 pages, 1860 KiB  
Review
Zebrafish (Danio rerio) as a Model System to Investigate the Role of the Innate Immune Response in Human Infectious Diseases
by Maria Franza, Romualdo Varricchio, Giulia Alloisio, Giovanna De Simone, Stefano Di Bella, Paolo Ascenzi and Alessandra di Masi
Int. J. Mol. Sci. 2024, 25(22), 12008; https://doi.org/10.3390/ijms252212008 - 8 Nov 2024
Viewed by 1702
Abstract
The zebrafish (Danio rerio) has emerged as a valuable model for studying host-pathogen interactions due to its unique combination of characteristics. These include extensive sequence and functional conservation with the human genome, optical transparency in larvae that allows for high-resolution visualization [...] Read more.
The zebrafish (Danio rerio) has emerged as a valuable model for studying host-pathogen interactions due to its unique combination of characteristics. These include extensive sequence and functional conservation with the human genome, optical transparency in larvae that allows for high-resolution visualization of host cell-microbe interactions, a fully sequenced and annotated genome, advanced forward and reverse genetic tools, and suitability for chemical screening studies. Despite anatomical differences with humans, the zebrafish model has proven instrumental in investigating immune responses and human infectious diseases. Notably, zebrafish larvae rely exclusively on innate immune responses during the early stages of development, as the adaptive immune system becomes fully functional only after 4–6 weeks post-fertilization. This window provides a unique opportunity to isolate and examine infection and inflammation mechanisms driven by the innate immune response without the confounding effects of adaptive immunity. In this review, we highlight the strengths and limitations of using zebrafish as a powerful vertebrate model to study innate immune responses in infectious diseases. We will particularly focus on host-pathogen interactions in human infections caused by various bacteria (Clostridioides difficile, Staphylococcus aureus, and Pseudomonas aeruginosa), viruses (herpes simplex virus 1, SARS-CoV-2), and fungi (Aspergillus fumigatus and Candida albicans). Full article
(This article belongs to the Special Issue The Zebrafish Model in Animal and Human Health Research, 2nd Edition)
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<p>Hematopoiesis and development of the immune system in zebrafish. The development of the immune system starts with primitive hematopoiesis at 11 h post-fertilization (hpf). Myeloid and erythroid cells originate in the anterior lateral plate mesoderm (ALPM) and posterior lateral mesoderm (PLPM)). Specifically, myeloid cells develop in the rostral blood islands (RBI) and erythroid cells in the intermediate cell mass (ICM), respectively. At about 2 days post-fertilization (dpf), hematopoietic stem cells (HSCs) appear in the dorsal aorta (DA) and then transit into the caudal hematopoietic tissues (CHT). The terminal phase of hematopoiesis involves the migration of HSCs to the thymus and pronephros (i.e., the first stage of kidney development), where the full maturation of the blood cells occurs. Notably, at 3 dpf zebrafish emerge from the chorion and take contact with the outside environment without fully developed CD4<sup>+</sup>/CD8<sup>+</sup> lymphocytes, which appear at 3 weeks post-fertilization (wpf).</p>
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<p>The innate immune response in zebrafish. The innate immune system is a complex composition of cellular and humoral components. The figure shows the immunity cells, the pattern recognition receptors, and the soluble components that coordinate the diverse innate immunity responses. The figure has been partially generated using the website Servier Medical Art, provided by Servier, licensed under a Creative Commons Attribution 3.0 unported license.</p>
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<p>Summary of the infection strategies (i.e., immersion, microinjection, and microgavage) used to induce systemic or local infections/intoxication in zebrafish with bacteria, viruses, and fungi [<a href="#B152-ijms-25-12008" class="html-bibr">152</a>,<a href="#B157-ijms-25-12008" class="html-bibr">157</a>,<a href="#B158-ijms-25-12008" class="html-bibr">158</a>,<a href="#B159-ijms-25-12008" class="html-bibr">159</a>,<a href="#B160-ijms-25-12008" class="html-bibr">160</a>,<a href="#B161-ijms-25-12008" class="html-bibr">161</a>,<a href="#B162-ijms-25-12008" class="html-bibr">162</a>,<a href="#B163-ijms-25-12008" class="html-bibr">163</a>,<a href="#B164-ijms-25-12008" class="html-bibr">164</a>,<a href="#B165-ijms-25-12008" class="html-bibr">165</a>,<a href="#B166-ijms-25-12008" class="html-bibr">166</a>,<a href="#B167-ijms-25-12008" class="html-bibr">167</a>,<a href="#B168-ijms-25-12008" class="html-bibr">168</a>,<a href="#B169-ijms-25-12008" class="html-bibr">169</a>,<a href="#B170-ijms-25-12008" class="html-bibr">170</a>].</p>
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15 pages, 3360 KiB  
Article
Efficacy of UV-C 254 nm Light and a Sporicidal Surface Disinfectant in Inactivating Spores from Clostridioides difficile Ribotypes In Vitro
by Khald Blau and Claudia Gallert
Pathogens 2024, 13(11), 965; https://doi.org/10.3390/pathogens13110965 - 5 Nov 2024
Viewed by 755
Abstract
Clostridioides difficile is widely recognised as one of the most common causes of healthcare-associated C. difficile infections due to the ability of spores to survive for prolonged periods in the hospital environment. This study aimed to evaluate the efficacy of UV-C 254 nm [...] Read more.
Clostridioides difficile is widely recognised as one of the most common causes of healthcare-associated C. difficile infections due to the ability of spores to survive for prolonged periods in the hospital environment. This study aimed to evaluate the efficacy of UV-C 254 nm light in the inactivation of the spores of different C. difficile ribotypes on brain heart infusion (BHI) agar plates or in phosphate-buffered saline (PBS) with varying spore densities. Furthermore, the effectiveness of a sporicidal surface disinfectant against C. difficile spores was determined on different surfaces. Spore suspensions of different C. difficile strains in the range of 105–107 colony-forming units (CFUs) mL−1 were inoculated on BHI agar plates or in PBS and exposed to UV-C light for up to 30 min. Additionally, a spore suspension of 103–105 CFUs was spread over a 1 cm2 test area on different surfaces, and sporicidal surface wipes were used according to the manufacturer’s instructions. The findings demonstrated that spores of C. difficile ribotypes exhibited a complete reduction in log10 CFU on BHI agar plates and PBS following 20 min of exposure to a UV-C dose of 2208 mJ cm−2. The surface wipes with sporicidal properties demonstrated efficacy in reducing the number of C. difficile spores on the Formica, stainless steel, and plastic surfaces by 2.03–3.53 log10. The present study demonstrates that moist surfaces or liquids can enhance the efficacy of UV-C treatment in reducing C. difficile spores. This approach may be applicable to the surfaces of healthcare facilities and to water disinfection systems. Full article
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Figure 1

Figure 1
<p>Intensities of UV-C 254 nm mercury lamps used in this study during the first 90 min exposure. Error bars represent the standard errors of the mean from three independent measurements.</p>
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<p>Schematic diagram of the experimental setup used to determine the efficacy of UVC 254 nm light on the spore germination ability of different <span class="html-italic">C. difficile</span> RT strains inoculated on the surface of BHI agar plates (<b>A</b>) and in PBS solution (<b>B</b>).</p>
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<p>Schematic diagram of the experimental setup used to determine the efficacy of sporicidal surface wipes on the survival and germination ability of spores of different <span class="html-italic">C. difficile</span> RT strains.</p>
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<p>Recovery and germination ability of spores from five different <span class="html-italic">C. difficile</span> PCR ribotypes when exposed to UV-C 254 nm light on the surface of BHI agar plates after various exposure times. Each bar represents the mean of three replicates ± standard deviation. <span class="html-italic">p</span> &lt; 0.0001 (****), <span class="html-italic">p</span> &lt; 0.001 (***), <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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<p>Recovery and germination ability of spores from five different <span class="html-italic">C. difficile</span> RT strains when exposed to UV-C 254 nm light in PBS solution for varying exposure times. Each bar represents the mean of three replicates ± standard deviation. <span class="html-italic">p</span> &lt; 0.0001 (****), <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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<p>Log<sub>10</sub> CFU reduction of spores from five different <span class="html-italic">C. difficile</span> ribotypes on the surface of BHI agar plates (<b>A</b>) and in PBS solution (<b>B</b>). Respective spores were exposed to UV-C light at various doses (1104 to 3312 mJ cm<sup>−2</sup>). The error bars represent the standard errors of the mean from independent experiments (<span class="html-italic">n</span> = 3).</p>
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<p>Inactivation of spores derived from different <span class="html-italic">C. difficile</span> ribotypes on different surfaces treated with sporicidal surface wipes. The mean of three replicates ± standard deviation is shown for each error bar. Significant differences (<span class="html-italic">p</span> &lt; 0.05) between strains are indicated by different letters.</p>
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