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Banovic F, Olivry T, Artlet B, Rothstein E, Beco L, Linek M, Zabel S, Peters-Kennedy J, Welle M, Wilkes R, Austel M, Linder K. Hyperkeratotic erythema multiforme variant in 17 dogs. Vet Dermatol 2023; 34:125-133. [PMID: 36510641 DOI: 10.1111/vde.13141] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 10/05/2022] [Accepted: 10/15/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND A new canine subgroup defined as 'old-dog' or 'hyperkeratotic' erythema multiforme (HKEM) with marked hyperkeratosis and parakeratosis has been proposed without any detailed description of larger case series. OBJECTIVES We report herein the signalment, clinical signs, treatment outcome, and histopathological and immunological findings in 17 dogs with HKEM. ANIMALS Inclusion criteria were the presence of (i) scaly skin lesions with or without crusting; and (ii) microscopic lesions typical of EM (i.e. a panepidermal cytotoxic lymphocytic dermatitis with or without basal keratinocyte apoptosis); and (iii) microscopic ortho- and/or parakeratotic hyperkeratosis affecting the interfollicular epidermis. MATERIALS AND METHODS Clinical questionnaires and skin biopsies were reviewed. Polymerase chain reactions for epidermotropic viruses and direct immunofluorescence were performed. RESULTS Various breeds were affected with an over-representation of males in their mid-to-late adulthood (median age 9 years). Generalised skin lesions included multifocal-to-coalescing, linear and annular macules and plaques with erythema and adherent firm crusting. Microscopic lesions were specific for EM and featured prominent superficial epidermal apoptosis with lymphocytic satellitosis and parakeratosis. No drug triggers were identified. Polymerase chain reactions for canine herpesvirus polymerase gene, canine parvovirus and canine distemper virus were negative in all HKEM and canine erosive EM (15 dogs) biopsies. Lesions failed to respond to oral and/or topical antimicrobials. Complete remission of signs was achieved in 9 of 17 dogs (53%) using immunosuppressive regimens. CONCLUSIONS AND CLINICAL RELEVANCE Hyperkeratotic erythema multiforme (HKEM) is a chronic, persistent and clinically distinctive erythema multiforme (EM) variant that differs from 'classic' vesiculobullous erosive-to-ulcerative EM in dogs.
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Affiliation(s)
- Frane Banovic
- Department of Small Animal Medicine and Surgery, College of Veterinary Medicine, University of Georgia, Athens, Georgia, USA
| | - Thierry Olivry
- Department of Clinical Sciences, College of Veterinary Medicine, NC State University, Raleigh, North Carolina, USA
| | - Barbara Artlet
- Department of Small Animal Medicine and Surgery, College of Veterinary Medicine, University of Georgia, Athens, Georgia, USA
| | - Emily Rothstein
- Animal Allergy and Dermatology Service of Connecticut, Plantsville, Connecticut, USA
| | - Luc Beco
- Cabinet Vétérinaire, Spa, Belgium
| | | | - Sonja Zabel
- VCA Northwest Veterinary Specialist, Dermatology, Allergy & Otology Service, Clackamas, Oregon, USA
| | - Jeanine Peters-Kennedy
- Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | - Monika Welle
- Institute of Animal Pathology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Rebecca Wilkes
- Department of Comparative Pathobiology/Animal Disease Diagnostic Laboratory, Purdue University College of Veterinary Medicine, West Lafayette, Indiana, USA
| | - Michaela Austel
- Department of Small Animal Medicine and Surgery, College of Veterinary Medicine, University of Georgia, Athens, Georgia, USA
| | - Keith Linder
- Department of Population Health and Pathobiology, College of Veterinary Medicine, NC State University, Raleigh, North Carolina, USA
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Ceric O, Tyson GH, Goodman LB, Mitchell PK, Zhang Y, Prarat M, Cui J, Peak L, Scaria J, Antony L, Thomas M, Nemser SM, Anderson R, Thachil AJ, Franklin-Guild RJ, Slavic D, Bommineni YR, Mohan S, Sanchez S, Wilkes R, Sahin O, Hendrix GK, Lubbers B, Reed D, Jenkins T, Roy A, Paulsen D, Mani R, Olsen K, Pace L, Pulido M, Jacob M, Webb BT, Dasgupta S, Patil A, Ramachandran A, Tewari D, Thirumalapura N, Kelly DJ, Rankin SC, Lawhon SD, Wu J, Burbick CR, Reimschuessel R. Enhancing the one health initiative by using whole genome sequencing to monitor antimicrobial resistance of animal pathogens: Vet-LIRN collaborative project with veterinary diagnostic laboratories in United States and Canada. BMC Vet Res 2019; 15:130. [PMID: 31060608 PMCID: PMC6501310 DOI: 10.1186/s12917-019-1864-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 04/05/2019] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Antimicrobial resistance (AMR) of bacterial pathogens is an emerging public health threat. This threat extends to pets as it also compromises our ability to treat their infections. Surveillance programs in the United States have traditionally focused on collecting data from food animals, foods, and people. The Veterinary Laboratory Investigation and Response Network (Vet-LIRN), a national network of 45 veterinary diagnostic laboratories, tested the antimicrobial susceptibility of clinically relevant bacterial isolates from animals, with companion animal species represented for the first time in a monitoring program. During 2017, we systematically collected and tested 1968 isolates. To identify genetic determinants associated with AMR and the potential genetic relatedness of animal and human strains, whole genome sequencing (WGS) was performed on 192 isolates: 69 Salmonella enterica (all animal sources), 63 Escherichia coli (dogs), and 60 Staphylococcus pseudintermedius (dogs). RESULTS We found that most Salmonella isolates (46/69, 67%) had no known resistance genes. Several isolates from both food and companion animals, however, showed genetic relatedness to isolates from humans. For pathogenic E. coli, no resistance genes were identified in 60% (38/63) of the isolates. Diverse resistance patterns were observed, and one of the isolates had predicted resistance to fluoroquinolones and cephalosporins, important antibiotics in human and veterinary medicine. For S. pseudintermedius, we observed a bimodal distribution of resistance genes, with some isolates having a diverse array of resistance mechanisms, including the mecA gene (19/60, 32%). CONCLUSION The findings from this study highlight the critical importance of veterinary diagnostic laboratory data as part of any national antimicrobial resistance surveillance program. The finding of some highly resistant bacteria from companion animals, and the observation of isolates related to those isolated from humans demonstrates the public health significance of incorporating companion animal data into surveillance systems. Vet-LIRN will continue to build the infrastructure to collect the data necessary to perform surveillance of resistant bacteria as part of fulfilling its mission to advance human and animal health. A One Health approach to AMR surveillance programs is crucial and must include data from humans, animals, and environmental sources to be effective.
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Affiliation(s)
- Olgica Ceric
- Veterinary Laboratory Investigation and Response Network (Vet-LIRN), Center for Veterinary Medicine, United States Food and Drug Administration, 8401 Muirkirk Rd, Laurel, MD, 20708, USA.
| | - Gregory H Tyson
- Veterinary Laboratory Investigation and Response Network (Vet-LIRN), Center for Veterinary Medicine, United States Food and Drug Administration, 8401 Muirkirk Rd, Laurel, MD, 20708, USA
| | - Laura B Goodman
- Population Medicine & Diagnostic Sciences, Cornell University, Ithaca, New York, USA
| | - Patrick K Mitchell
- Population Medicine & Diagnostic Sciences, Cornell University, Ithaca, New York, USA
| | - Yan Zhang
- Ohio Department of Agriculture, Ohio Animal Disease Diagnostic Laboratory, Reynoldsburg, OH, USA
| | - Melanie Prarat
- Ohio Department of Agriculture, Ohio Animal Disease Diagnostic Laboratory, Reynoldsburg, OH, USA
| | - Jing Cui
- Ohio Department of Agriculture, Ohio Animal Disease Diagnostic Laboratory, Reynoldsburg, OH, USA
| | - Laura Peak
- School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, USA
| | - Joy Scaria
- Veterinary and Biomedical Sciences, South Dakota State University, Brookings, SD, USA
| | - Linto Antony
- Veterinary and Biomedical Sciences, South Dakota State University, Brookings, SD, USA
| | - Milton Thomas
- Veterinary and Biomedical Sciences, South Dakota State University, Brookings, SD, USA
| | - Sarah M Nemser
- Veterinary Laboratory Investigation and Response Network (Vet-LIRN), Center for Veterinary Medicine, United States Food and Drug Administration, 8401 Muirkirk Rd, Laurel, MD, 20708, USA
| | - Renee Anderson
- Population Medicine & Diagnostic Sciences, Cornell University, Ithaca, New York, USA
| | - Anil J Thachil
- Population Medicine & Diagnostic Sciences, Cornell University, Ithaca, New York, USA
| | | | - Durda Slavic
- Animal Health Laboratory, University of Guelph, Guelph, Canada
| | - Yugendar R Bommineni
- Florida Department of Agriculture and Consumer Services, Bronson Animal Disease Diagnostic Laboratory, Kissimmee, FL, USA
| | - Shipra Mohan
- Florida Department of Agriculture and Consumer Services, Bronson Animal Disease Diagnostic Laboratory, Kissimmee, FL, USA
| | - Susan Sanchez
- Athens Veterinary Diagnostic Laboratory, Department of Infectious Diseases, College of Veterinary Medicine, The University of Georgia, Athens, GA, USA
| | - Rebecca Wilkes
- Tifton Veterinary Diagnostic and Investigational Laboratory, The University of Georgia, Tifton, GA, USA
| | - Orhan Sahin
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, USA
| | - G Kenitra Hendrix
- Animal Disease Diagnostic Laboratory, Purdue University, West Lafayette, IN, USA
| | - Brian Lubbers
- Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, KS, USA
| | - Deborah Reed
- Breathitt Veterinary Center, Murray State University, Murray, KY, USA
| | - Tracie Jenkins
- Breathitt Veterinary Center, Murray State University, Murray, KY, USA
| | - Alma Roy
- School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, USA
| | - Daniel Paulsen
- School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, USA
| | - Rinosh Mani
- Veterinary Diagnostic Laboratory, Michigan State University, East Lansing, MI, USA
| | - Karen Olsen
- Veterinary Diagnostic Laboratory, University of Minnesota, St. Paul, MN, USA
| | - Lanny Pace
- Veterinary Research and Diagnostic Lab System, Mississippi State University, Starkville, MS, USA
| | - Martha Pulido
- Veterinary Research and Diagnostic Lab System, Mississippi State University, Starkville, MS, USA
| | - Megan Jacob
- North Carolina State University College of Veterinary Medicine, Raleigh, NC, USA
| | - Brett T Webb
- Veterinary Diagnostic Laboratory, North Dakota State University, Fargo, ND, USA
| | - Sarmila Dasgupta
- New Jersey Department of Agriculture, Animal Health Diagnostic Laboratory, Ewing Township, NJ, USA
| | - Amar Patil
- New Jersey Department of Agriculture, Animal Health Diagnostic Laboratory, Ewing Township, NJ, USA
| | - Akhilesh Ramachandran
- Oklahoma Animal Disease Diagnostic Laboratory, Oklahoma State University, Stillwater, OK, USA
| | - Deepanker Tewari
- Pennsylvania Department of Agriculture, Pennsylvania Veterinary Laboratory, Harrisburg, PA, USA
| | - Nagaraja Thirumalapura
- Pennsylvania Department of Agriculture, Pennsylvania Veterinary Laboratory, Harrisburg, PA, USA
| | - Donna J Kelly
- Pennsylvania Animal Diagnostic Laboratory, New Bolton Center, University of Pennsylvania, Kenneth Square, PA, USA
| | - Shelley C Rankin
- School of Veterinary Medicine, The Ryan Veterinary Hospital Clinical Microbiology Laboratory, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Jing Wu
- Texas A&M University, College Station, TX, USA
| | - Claire R Burbick
- College of Veterinary Medicine, Washington Animal Disease Diagnostic Laboratory, Washington State University, Pullman, WA, USA
| | - Renate Reimschuessel
- Veterinary Laboratory Investigation and Response Network (Vet-LIRN), Center for Veterinary Medicine, United States Food and Drug Administration, 8401 Muirkirk Rd, Laurel, MD, 20708, USA
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Wilkes R, Zhao Y, Kieswetter K, Haridas B. Effects of Dressing Type on 3D Tissue Microdeformations During Negative Pressure Wound Therapy: A Computational Study. J Biomech Eng 2009; 131:031012. [DOI: 10.1115/1.2947358] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Vacuum-assisted closure® (VAC®) therapy, also referred to as vacuum-assisted closure® negative pressure wound therapy (VAC® NPWT), delivered to various dermal wounds is believed to influence the formation of granulation tissue via the mechanism of microdeformational signals. In recent years, numerous experimental investigations have been initiated to study the cause-effect relationships between the mechanical signals and the transduction pathways that result in improved granulation response. To accurately quantify the tissue microdeformations during therapy, a new three-dimensional finite element model has been developed and is described in this paper. This model is used to study the effect of dressing type and subatmospheric pressure level on the variations in the microdeformational strain fields in a model dermal wound bed. Three-dimensional geometric models representing typical control volumes of NPWT dressings were generated using micro-CT scanning of VAC® GranuFoam®, a reticulated open-cell polyurethane foam (ROCF), and a gauze dressing (constructed from USP Class VII gauze). Using a nonlinear hyperfoam constitutive model for the wound bed, simulated tissue microdeformations were generated using the foam and gauze dressing models at equivalent negative pressures. The model results showed that foam produces significantly greater strain than gauze in the tissue model at all pressures and in all metrics (p<0.0001 for all but εvol at −50mmHg and −100mmHg where p<0.05). Specifically, it was demonstrated in this current work that the ROCF dressing produces higher levels of tissue microdeformation than gauze at all levels of subatmospheric pressure. This observation is consistent across all of the strain invariants assessed, i.e., εvol, εdist, the minimum and maximum principal strains, and the maximum shear strain. The distribution of the microdeformations and strain appears as a repeating mosaic beneath the foam dressing, whereas the gauze dressings appear to produce an irregular distribution of strains in the wound surface. Strain predictions from the developed computational model results agree well with those predicted from prior two-dimensional experimental and computational studies of foam-based NPWT (Saxena, V., et al., 2004, “Vacuum-assisted closure: Microdeformations of Wounds and Cell Proliferation,” Plast. Reconstr. Surg., 114(5), pp. 1086–1096). In conjunction with experimental in vitro and in vivo studies, the developed model can now be extended into more detailed investigations into the mechanobiological underpinnings of VAC® NPWT and can help to further develop and optimize this treatment modality for the treatment of challenging patient wounds.
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Affiliation(s)
- R. Wilkes
- Kinetic Concepts, Inc., San Antonio, TX 78249
| | - Y. Zhao
- Kinetic Concepts, Inc., San Antonio, TX 78249
| | | | - B. Haridas
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH 45221-0048; Device & Implant Innovations, LLC, Mason, OH 45040
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Batusov Y, Bunyatov S, Kuznetsov O, Lyukov V, Tretyak V, Egorov O, Goritchev P, Kolganova E, Makhlyueva I, Pozharova E, Shamanov V, Smirnitsky V, Ammosov V, Baranov V, Gapienko V, Klukhin V, Koreshev V, Pitukhin P, Sirotenko V, Jurak A, Olszewski A, Wilczynska B, Wilczynski H, Wolter W, Wosiek B, Tchernev H, Ivanova M, Smart W, Voyvodic L, Rubin H, Ammar R, Coppage D, Davis R, Grees J, Kwak N, Riemer R, Stump R, Burnett T, Krzywdzinski S, Lord J, Rosenbladt R, Wilkes R, Bakich A, Peak L. Neutrino production of charmed particles in a hybrid experiment E-564. ACTA ACUST UNITED AC 1990. [DOI: 10.1007/bf01556268] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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