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Reinhart JM. Drug-Induced Liver Injury. Vet Clin North Am Small Anim Pract 2025:S0195-5616(25)00029-4. [PMID: 40280782 DOI: 10.1016/j.cvsm.2025.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2025]
Abstract
Drug-induced liver injury (DILI) is an underrecognized cause of hepatic disease in dogs and cats. Successful identification of cases requires an initial suspicion by the practitioner, a thorough drug exposure history, and knowledge of the toxic potential for common veterinary drugs. This article reviews the pathogenesis, classification, and diagnosis of DILI in small animals. It also discusses the clinical presentation, prevalence, and outcomes of DILI for several drugs important in veterinary medicine including azathioprine, azole antifungals, carprofen, diazepam, doxycycline, lomustine, methimazole, phenobarbital, rifampin, sulfonamide antibiotics, and zonisamide, as well as the toxic potential for nutraceuticals and herbal preparations.
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Affiliation(s)
- Jennifer M Reinhart
- Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois Urbana-Champaign, 1008 West Hazelwood Drive, Urbana, IL 61802, USA.
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Branck T, Hu Z, Nickols WA, Walsh AM, Bhosle A, Short MI, Nearing JT, Asnicar F, McIver LJ, Maharjan S, Rahnavard A, Louyakis AS, Badri DV, Brockel C, Thompson KN, Huttenhower C. Comprehensive profile of the companion animal gut microbiome integrating reference-based and reference-free methods. THE ISME JOURNAL 2024; 18:wrae201. [PMID: 39394961 PMCID: PMC11523182 DOI: 10.1093/ismejo/wrae201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 09/19/2024] [Accepted: 10/09/2024] [Indexed: 10/14/2024]
Abstract
The gut microbiome of companion animals is relatively underexplored, despite its relevance to animal health, pet owner health, and basic microbial community biology. Here, we provide the most comprehensive analysis of the canine and feline gut microbiomes to date, incorporating 2639 stool shotgun metagenomes (2272 dog and 367 cat) spanning 14 publicly available datasets (n = 730) and 8 new study populations (n = 1909). These are compared with 238 and 112 baseline human gut metagenomes from the Human Microbiome Project 1-II and a traditionally living Malagasy cohort, respectively, processed in a manner identical to the animal metagenomes. All microbiomes were characterized using reference-based taxonomic and functional profiling, as well as de novo assembly yielding metagenomic assembled genomes clustered into species-level genome bins. Companion animals shared 184 species-level genome bins not found in humans, whereas 198 were found in all three hosts. We applied novel methodology to distinguish strains of these shared organisms either transferred or unique to host species, with phylogenetic patterns suggesting host-specific adaptation of microbial lineages. This corresponded with functional divergence of these lineages by host (e.g. differences in metabolic and antibiotic resistance genes) likely important to companion animal health. This study provides the largest resource to date of companion animal gut metagenomes and greatly contributes to our understanding of the "One Health" concept of a shared microbial environment among humans and companion animals, affecting infectious diseases, immune response, and specific genetic elements.
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Affiliation(s)
- Tobyn Branck
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Science and Technology Center, Hill’s Pet Nutrition, Inc., Topeka, KS, United States
| | - Zhiji Hu
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - William A Nickols
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Aaron M Walsh
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Amrisha Bhosle
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Meghan I Short
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Jacob T Nearing
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | | | - Lauren J McIver
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Sagun Maharjan
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Ali Rahnavard
- Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States
| | - Artemis S Louyakis
- Science and Technology Center, Hill’s Pet Nutrition, Inc., Topeka, KS, United States
| | - Dayakar V Badri
- Science and Technology Center, Hill’s Pet Nutrition, Inc., Topeka, KS, United States
| | - Christoph Brockel
- Science and Technology Center, Hill’s Pet Nutrition, Inc., Topeka, KS, United States
| | - Kelsey N Thompson
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, United States
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