6 results on '"Lueschow S"'
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2. The fetal response to maternal inflammation is dependent upon maternal IL-6 in a murine model.
- Author
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Bermick J, Watson S, Lueschow S, and McElroy SJ
- Subjects
- Animals, Female, Mice, Pregnancy, Amniotic Fluid metabolism, Disease Models, Animal, Inflammation metabolism, Interleukin-6, Lipopolysaccharides, Placenta metabolism, Chorioamnionitis metabolism, Fetal Diseases metabolism
- Abstract
Background: The induction of maternal inflammation in mice leads to fetal injury that is believed to be IL-6 dependent. The fetal inflammatory response, defined by elevated fetal or amniotic fluid IL-6, has been described as a potential mechanism for subsequent fetal injury. The role of maternal IL-6 production and signaling in the fetal IL-6 response is currently unclear., Methods: Genetic and anti-IL-6 antibody strategies were used to systematically block the maternal IL-6 response during inflammation. Chorioamnionitis was induced using intraperitoneal injection of lipopolysaccharide (LPS) at mid gestation (E14.5) and late gestation (E18.5). This model was used in pregnant C57Bl/6 dams, IL6
-/- dams, C57Bl/6 dams treated with anti-IL-6 (blocks both classical and trans-signaling) or anti-gp130 antibodies (blocks trans-signaling only) and IL6+/- dams. Six hours following LPS injection, maternal serum, placental tissue, amniotic fluid and fetal tissue or serum were collected. A bead-based multiplex assay was used to evaluate levels of IL-6, KC, IL-1β, TNF, IL-10, IL-22, IFN-γ, IL-13 and IL-17A., Results: Chorioamnionitis in C57Bl/6 dams was characterized by elevated maternal serum levels of IL-6, KC and IL-22 with litter loss during mid gestation. The fetal response to maternal inflammation in C57Bl/6 mice was primarily characterized by elevated levels of IL-6, KC and IL-22 in the placenta, amniotic fluid and fetus during both mid and late gestation. A global IL-6 knockout (IL6-/- ) eradicated the maternal, placental, amniotic fluid and fetal IL-6 response to LPS during mid and late gestation and improved litter survival, while minimally influencing the KC or IL-22 responses. Blocking maternal classical IL-6 signaling in C57Bl/6 dams at the time of LPS exposure diminished the maternal, placental, amniotic fluid and fetal IL-6 response during mid and late gestation, while blocking maternal IL-6 trans-signaling only affected fetal IL-6 expression. To evaluate whether maternal IL-6 was crossing the placenta and reaching the fetus, IL-6+/- dams were utilized in the chorioamnionitis model. IL-6+/- dams mounted a systemic inflammatory response following injection with LPS, characterized by elevated IL-6, KC and IL-22. IL-6-/- pups born to IL6+/- dams had decreased amniotic fluid levels of IL-6 and undetectable levels of fetal IL-6 compared to IL-6+/+ littermate controls., Conclusion: The fetal response to systemic maternal inflammation is dependent upon maternal IL-6 signaling, but maternal IL-6 is not crossing the placenta and reaching the fetus at detectable levels., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)- Published
- 2023
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3. Biomarkers of necrotizing enterocolitis in the era of machine learning and omics.
- Author
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Leiva T, Lueschow S, Burge K, Devette C, McElroy S, and Chaaban H
- Subjects
- Infant, Infant, Newborn, Humans, Infant, Premature, Artificial Intelligence, Biomarkers, Machine Learning, Enterocolitis, Necrotizing diagnosis, Infant, Newborn, Diseases
- Abstract
Necrotizing enterocolitis (NEC) continues to be a major cause of morbidity and mortality in preterm infants. Despite decades of research in NEC, no reliable biomarkers can accurately diagnose NEC or predict patient prognosis. The recent emergence of multi-omics could potentially shift NEC biomarker discovery, particularly when evaluated using systems biology techniques. Furthermore, the use of machine learning and artificial intelligence in analyzing this 'big data' could enable novel interpretations of NEC subtypes, disease progression, and potential therapeutic targets, allowing for integration with personalized medicine approaches. In this review, we evaluate studies using omics technologies and machine learning in the diagnosis of NEC. Future implications and challenges inherent to the field are also discussed., Competing Interests: Declaration of Competing Interest The authors report no conflicts of interest., (Copyright © 2022 Elsevier Inc. All rights reserved.)
- Published
- 2023
- Full Text
- View/download PDF
4. Western Bats as a Reservoir of Novel Streptomyces Species with Antifungal Activity.
- Author
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Hamm PS, Caimi NA, Northup DE, Valdez EW, Buecher DC, Dunlap CA, Labeda DP, Lueschow S, and Porras-Alfaro A
- Subjects
- Actinobacteria classification, Actinobacteria genetics, Actinobacteria isolation & purification, Actinobacteria metabolism, Animal Diseases microbiology, Animals, Arizona, Ascomycota growth & development, Ascomycota pathogenicity, DNA, Bacterial, Genes, Bacterial, Microbial Sensitivity Tests, Microbiota, Multilocus Sequence Typing, Mycoses microbiology, Mycoses prevention & control, Mycoses veterinary, North America, Nose microbiology, Phylogeny, RNA, Ribosomal, 16S, Streptomyces classification, Streptomyces genetics, Streptomyces isolation & purification, Antifungal Agents pharmacology, Ascomycota drug effects, Chiroptera microbiology, Streptomyces metabolism
- Abstract
At least two-thirds of commercial antibiotics today are derived from Actinobacteria , more specifically from the genus Streptomyces Antibiotic resistance and new emerging diseases pose great challenges in the field of microbiology. Cave systems, in which actinobacteria are ubiquitous and abundant, represent new opportunities for the discovery of novel bacterial species and the study of their interactions with emergent pathogens. White-nose syndrome is an invasive bat disease caused by the fungus Pseudogymnoascus destructans , which has killed more than six million bats in the last 7 years. In this study, we isolated naturally occurring actinobacteria from white-nose syndrome (WNS)-free bats from five cave systems and surface locations in the vicinity in New Mexico and Arizona, USA. We sequenced the 16S rRNA region and tested 632 isolates from 12 different bat species using a bilayer plate method to evaluate antifungal activity. Thirty-six actinobacteria inhibited or stopped the growth of P. destructans , with 32 (88.9%) actinobacteria belonging to the genus Streptomyces Isolates in the genera Rhodococcus , Streptosporangium , Luteipulveratus , and Nocardiopsis also showed inhibition. Twenty-five of the isolates with antifungal activity against P. destructans represent 15 novel Streptomyces spp. based on multilocus sequence analysis. Our results suggest that bats in western North America caves possess novel bacterial microbiota with the potential to inhibit P. destructans IMPORTANCE This study reports the largest collection of actinobacteria from bats with activity against Pseudogymnoascus destructans , the fungal causative agent of white-nose syndrome. Using multigene analysis, we discovered 15 potential novel species. This research demonstrates that bats and caves may serve as a rich reservoir for novel Streptomyces species with antimicrobial bioactive compounds., (Copyright © 2017 American Society for Microbiology.)
- Published
- 2017
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5. Sequence-based classification and identification of Fungi.
- Author
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Hibbett D, Abarenkov K, Kõljalg U, Öpik M, Chai B, Cole J, Wang Q, Crous P, Robert V, Helgason T, Herr JR, Kirk P, Lueschow S, O'Donnell K, Nilsson RH, Oono R, Schoch C, Smyth C, Walker DM, Porras-Alfaro A, Taylor JW, and Geiser DM
- Subjects
- Archaea classification, Archaea genetics, Bacteria classification, Bacteria genetics, Fungi classification, Fungi genetics, Metagenomics methods, Phylogeny
- Abstract
Fungal taxonomy and ecology have been revolutionized by the application of molecular methods and both have increasing connections to genomics and functional biology. However, data streams from traditional specimen- and culture-based systematics are not yet fully integrated with those from metagenomic and metatranscriptomic studies, which limits understanding of the taxonomic diversity and metabolic properties of fungal communities. This article reviews current resources, needs, and opportunities for sequence-based classification and identification (SBCI) in fungi as well as related efforts in prokaryotes. To realize the full potential of fungal SBCI it will be necessary to make advances in multiple areas. Improvements in sequencing methods, including long-read and single-cell technologies, will empower fungal molecular ecologists to look beyond ITS and current shotgun metagenomics approaches. Data quality and accessibility will be enhanced by attention to data and metadata standards and rigorous enforcement of policies for deposition of data and workflows. Taxonomic communities will need to develop best practices for molecular characterization in their focal clades, while also contributing to globally useful datasets including ITS. Changes to nomenclatural rules are needed to enable validPUBLICation of sequence-based taxon descriptions. Finally, cultural shifts are necessary to promote adoption of SBCI and to accord professional credit to individuals who contribute to community resources.
- Published
- 2016
- Full Text
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6. Psychrophilic and psychrotolerant fungi on bats and the presence of Geomyces spp. on bat wings prior to the arrival of white nose syndrome.
- Author
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Johnson LJ, Miller AN, McCleery RA, McClanahan R, Kath JA, Lueschow S, and Porras-Alfaro A
- Subjects
- Animals, Cluster Analysis, Cold Temperature, DNA, Fungal chemistry, DNA, Fungal genetics, DNA, Ribosomal Spacer chemistry, DNA, Ribosomal Spacer genetics, Fungi genetics, Fungi radiation effects, Molecular Sequence Data, Phylogeny, Sequence Analysis, DNA, United States, Biodiversity, Chiroptera microbiology, Fungi classification, Fungi isolation & purification, Stress, Physiological, Wings, Animal microbiology
- Abstract
Since 2006, Geomyces destructans, the causative agent of white nose syndrome (WNS), has killed over 5.7 million bats in North America. The current hypothesis suggests that this novel fungus is an invasive species from Europe, but little is known about the diversity within the genus Geomyces and its distribution on bats in the United States. We documented the psychrophilic and psychrotolerant fungal flora of hibernating bats prior to the arrival of WNS using culture-based techniques. A total of 149 cultures, which were obtained from 30 bats in five bat hibernacula located in four caves and one mine, were sequenced for the entire internal transcribed spacer (ITS) nuclear ribosomal DNA (nrDNA) region. Approximately 53 operational taxonomic units (OTUs) at 97% similarity were recovered from bat wings, with the community dominated by fungi within the genera Cladosporium, Fusarium, Geomyces, Mortierella, Penicillium, and Trichosporon. Eleven Geomyces isolates were obtained and placed in at least seven distinct Geomyces clades based on maximum-likelihood phylogenetic analyses. Temperature experiments revealed that all Geomyces strains isolated are psychrotolerant, unlike G. destructans, which is a true psychrophile. Our results confirm that a large diversity of fungi, including several Geomyces isolates, occurs on bats prior to the arrival of WNS. Most of these isolates were obtained from damaged wings. Additional studies need to be conducted to determine potential ecological roles of these abundant Geomyces strains isolated from bats.
- Published
- 2013
- Full Text
- View/download PDF
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