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Chacón CF, Parachú Marcó MV, Poletta GL, Siroski PA. Lipid metabolism in crocodilians: A field with promising applications in the field of ecotoxicology. ENVIRONMENTAL RESEARCH 2024; 252:119017. [PMID: 38704009 DOI: 10.1016/j.envres.2024.119017] [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: 01/29/2024] [Revised: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 05/06/2024]
Abstract
In the last years, lipid physiology has become an important research target for systems biology applied to the field of ecotoxicology. Lipids are not only essential components of biological membranes, but also participate in extra and intracellular signaling processes and as signal transducers and amplifiers of regulatory cascades. Particularly in sauropsids, lipids are the main source of energy for reproduction, growth, and embryonic development. In nature, organisms are exposed to different stressors, such as parasites, diseases and environmental contaminants, which interact with lipid signaling and metabolic pathways, disrupting lipid homeostasis. The system biology approach applied to ecotoxicological studies is crucial to evaluate metabolic regulation under environmental stress produced by xenobiotics. In this review, we cover information of molecular mechanisms that contribute to lipid metabolism homeostasis in sauropsids, specifically in crocodilian species. We focus on the role of lipid metabolism as a powerful source of energy and its importance during oocyte maturation, which has been increasingly recognized in many species, but information is still scarce in crocodiles. Finally, we highlight priorities for future research on the influence of environmental stressors on lipid metabolism, their potential effect on the reproductive system and thus on the offspring, and their implications on crocodilians conservation.
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Affiliation(s)
- C F Chacón
- Laboratorio de Ecología Molecular Aplicada (LEMA), Instituto de Ciencias Veterinarias del Litoral- Consejo Nacional de Investigaciones Científicas y Técnicas (ICiVet Litoral-CONICET/UNL), Av. Aristóbulo del Valle 8700, 3000, Santa Fe, Argentina; Proyecto Yacaré (MAyCC, Gob. de Santa Fe), Av. Aristóbulo del Valle 8700, 3000, Santa Fe, Argentina.
| | - M V Parachú Marcó
- Laboratorio de Ecología Molecular Aplicada (LEMA), Instituto de Ciencias Veterinarias del Litoral- Consejo Nacional de Investigaciones Científicas y Técnicas (ICiVet Litoral-CONICET/UNL), Av. Aristóbulo del Valle 8700, 3000, Santa Fe, Argentina; Proyecto Yacaré (MAyCC, Gob. de Santa Fe), Av. Aristóbulo del Valle 8700, 3000, Santa Fe, Argentina
| | - G L Poletta
- Laboratorio de Ecología Molecular Aplicada (LEMA), Instituto de Ciencias Veterinarias del Litoral- Consejo Nacional de Investigaciones Científicas y Técnicas (ICiVet Litoral-CONICET/UNL), Av. Aristóbulo del Valle 8700, 3000, Santa Fe, Argentina; Toxicología, Farmacología y Bioquímica Legal, FBCB-UNL, CONICET, Ciudad Universitaria, Paraje El Pozo S/N, 3000, Santa Fe, Argentina
| | - P A Siroski
- Laboratorio de Ecología Molecular Aplicada (LEMA), Instituto de Ciencias Veterinarias del Litoral- Consejo Nacional de Investigaciones Científicas y Técnicas (ICiVet Litoral-CONICET/UNL), Av. Aristóbulo del Valle 8700, 3000, Santa Fe, Argentina; Proyecto Yacaré (MAyCC, Gob. de Santa Fe), Av. Aristóbulo del Valle 8700, 3000, Santa Fe, Argentina
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Farage G, Zhao C, Choi HY, Garrett TJ, Kechris K, Elam MB, Sen Ś. Matrix Linear Models for connecting metabolite composition to individual characteristics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.19.572450. [PMID: 38187579 PMCID: PMC10769268 DOI: 10.1101/2023.12.19.572450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
High-throughput metabolomics data provide a detailed molecular window into biological processes. We consider the problem of assessing how the association of metabolite levels with individual (sample) characteristics such as sex or treatment may depend on metabolite characteristics such as pathway. Typically this is one in a two-step process: In the first step we assess the association of each metabolite with individual characteristics. In the second step an enrichment analysis is performed by metabolite characteristics among significant associations. We combine the two steps using a bilinear model based on the matrix linear model (MLM) framework we have previously developed for high-throughput genetic screens. Our framework can estimate relationships in metabolites sharing known characteristics, whether categorical (such as type of lipid or pathway) or numerical (such as number of double bonds in triglycerides). We demonstrate how MLM offers flexibility and interpretability by applying our method to three metabolomic studies. We show that our approach can separate the contribution of the overlapping triglycerides characteristics, such as the number of double bonds and the number of carbon atoms. The proposed method have been implemented in the open-source Julia package, MatrixLM. Data analysis scripts with example data analyses are also available.
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Affiliation(s)
- Gregory Farage
- Department of Preventive Medicine, Division of Biostatistics, University of Tennessee Health Science Center, Memphis, TN 38163
| | - Chenhao Zhao
- Department of Preventive Medicine, Division of Biostatistics, University of Tennessee Health Science Center, Memphis, TN 38163
| | - Hyo Young Choi
- Department of Preventive Medicine, Division of Biostatistics, University of Tennessee Health Science Center, Memphis, TN 38163
| | - Timothy J Garrett
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL 32610
| | - Katerina Kechris
- Department of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045
| | - Marshall B Elam
- Department of Pharmacology and of Medicine, University of Tennessee Health Science Center, Memphis, TN 38163
| | - Śaunak Sen
- Department of Preventive Medicine, Division of Biostatistics, University of Tennessee Health Science Center Memphis, TN 38163
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The Future of Biomarkers in Veterinary Medicine: Emerging Approaches and Associated Challenges. Animals (Basel) 2022; 12:ani12172194. [PMID: 36077913 PMCID: PMC9454634 DOI: 10.3390/ani12172194] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/20/2022] [Accepted: 08/22/2022] [Indexed: 11/30/2022] Open
Abstract
Simple Summary In this review we seek to outline the role of new technologies in biomarker discovery, particularly within the veterinary field and with an emphasis on ‘omics’, as well as to examine why many biomarkers-despite much excitement-have not yet made it to clinical practice. Further we emphasise the critical need for close collaboration between clinicians, researchers and funding bodies and the need to set clear goals for biomarker requirements and realistic application in the clinical setting, ensuring that biomarker type, method of detection and clinical utility are compatible, and adequate funding, time and sample size are available for all phases of development. Abstract New biomarkers promise to transform veterinary practice through rapid diagnosis of diseases, effective monitoring of animal health and improved welfare and production efficiency. However, the road from biomarker discovery to translation is not always straightforward. This review focuses on molecular biomarkers under development in the veterinary field, introduces the emerging technological approaches transforming this space and the role of ‘omics platforms in novel biomarker discovery. The vast majority of veterinary biomarkers are at preliminary stages of development and not yet ready to be deployed into clinical translation. Hence, we examine the major challenges encountered in the process of biomarker development from discovery, through validation and translation to clinical practice, including the hurdles specific to veterinary practice and to each of the ‘omics platforms–transcriptomics, proteomics, lipidomics and metabolomics. Finally, recommendations are made for the planning and execution of biomarker studies with a view to assisting the success of novel biomarkers in reaching their full potential.
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Ding H, Zhang Q, Yu X, Chen L, Wang Z, Feng J. Lipidomics reveals perturbations in the liver lipid profile of iron-overloaded mice. Metallomics 2021; 13:6375437. [PMID: 34562083 DOI: 10.1093/mtomcs/mfab057] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 09/17/2021] [Indexed: 02/07/2023]
Abstract
Iron overload is an important contributor to disease. The liver, the major site of iron storage in the body, is a key organ impacted by iron overload. While several studies have reported perturbations in liver lipids in iron overload, it is not clear, on a global scale, how individual liver lipid ions are altered. Here, we used lipidomics to study the changes in hepatic lipid ions in iron-overloaded mice. Iron overload was induced by daily intraperitoneal injections of 100 mg/kg body weight iron dextran for 1 week. Iron overload was verified by serum markers of iron status, liver iron quantitation, and Perls stain. Compared with the control group, the serum of iron-overload mice exhibited low levels of urea nitrogen and high-density lipoprotein (HDL), and high concentrations of total bile acid, low-density lipoprotein (LDL), aspartate aminotransferase (AST), alanine aminotransferase (ALT), and lactate dehydrogenase (LDH), suggestive of liver injury. Moreover, iron overload disrupted liver morphology, induced reactive oxygen species (ROS) production, reduced superoxide dismutase (SOD) activity, caused lipid peroxidation, and led to DNA fragmentation. Iron overload altered the overall composition of lipid ions in the liver, with significant changes in over 100 unique lipid ions. Notably, iron overload selectively increased the overall abundance of glycerolipids and changed the composition of glycerophospholipids and sphingolipids. This study, one of the first to report iron-overload induced lipid alterations on a global lipidomics scale, provides early insight into lipid ions that may be involved in iron overload-induced pathology.
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Affiliation(s)
- Haoxuan Ding
- College of Animal Sciences, Zhejiang University, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou 310058, China
| | - Qian Zhang
- College of Animal Sciences, Zhejiang University, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou 310058, China
| | - Xiaonan Yu
- College of Animal Sciences, Zhejiang University, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou 310058, China
| | - Lingjun Chen
- College of Animal Sciences, Zhejiang University, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou 310058, China
| | - Zhonghang Wang
- College of Animal Sciences, Zhejiang University, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou 310058, China
| | - Jie Feng
- College of Animal Sciences, Zhejiang University, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou 310058, China
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Liakh I, Sledzinski T, Kaska L, Mozolewska P, Mika A. Sample Preparation Methods for Lipidomics Approaches Used in Studies of Obesity. Molecules 2020; 25:E5307. [PMID: 33203044 PMCID: PMC7696154 DOI: 10.3390/molecules25225307] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/11/2020] [Accepted: 11/12/2020] [Indexed: 02/06/2023] Open
Abstract
Obesity is associated with alterations in the composition and amounts of lipids. Lipids have over 1.7 million representatives. Most lipid groups differ in composition, properties and chemical structure. These small molecules control various metabolic pathways, determine the metabolism of other compounds and are substrates for the syntheses of different derivatives. Recently, lipidomics has become an important branch of medical/clinical sciences similar to proteomics and genomics. Due to the much higher lipid accumulation in obese patients and many alterations in the compositions of various groups of lipids, the methods used for sample preparations for lipidomic studies of samples from obese subjects sometimes have to be modified. Appropriate sample preparation methods allow for the identification of a wide range of analytes by advanced analytical methods, including mass spectrometry. This is especially the case in studies with obese subjects, as the amounts of some lipids are much higher, others are present in trace amounts, and obese subjects have some specific alterations of the lipid profile. As a result, it is best to use a method previously tested on samples from obese subjects. However, most of these methods can be also used in healthy, nonobese subjects or patients with other dyslipidemias. This review is an overview of sample preparation methods for analysis as one of the major critical steps in the overall analytical procedure.
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Affiliation(s)
- Ivan Liakh
- Department of Pharmaceutical Biochemistry, Medical University of Gdansk, Debinki 1, 80-211 Gdansk, Poland; (I.L.); (T.S.); (P.M.)
- Department of Toxicology, Medical University of Gdańsk, Al. Gen. Hallera 107, 80-416 Gdańsk, Poland
| | - Tomasz Sledzinski
- Department of Pharmaceutical Biochemistry, Medical University of Gdansk, Debinki 1, 80-211 Gdansk, Poland; (I.L.); (T.S.); (P.M.)
| | - Lukasz Kaska
- Department of General, Endocrine and Transplant Surgery, Faculty of Medicine, Medical University of Gdansk, Smoluchowskiego 17, 80-214 Gdansk, Poland;
| | - Paulina Mozolewska
- Department of Pharmaceutical Biochemistry, Medical University of Gdansk, Debinki 1, 80-211 Gdansk, Poland; (I.L.); (T.S.); (P.M.)
| | - Adriana Mika
- Department of Pharmaceutical Biochemistry, Medical University of Gdansk, Debinki 1, 80-211 Gdansk, Poland; (I.L.); (T.S.); (P.M.)
- Department of Environmental Analysis, Faculty of Chemistry, University of Gdansk, Wita Stwosza 63, 80-308 Gdansk, Poland
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Sara JR, Luus-Powell WJ, Fogelson SB, Botha H, Guillette TC, Smit WJ, Hoffman A, Kunutu KD, Koelmel JP, Bowden JA. A histological evaluation of pansteatitis-affected Mozambique tilapia, Oreochromis mossambicus (Peters 1852), from different geographical locations in South Africa. JOURNAL OF FISH DISEASES 2020; 43:1185-1199. [PMID: 32740987 DOI: 10.1111/jfd.13184] [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: 02/10/2020] [Revised: 05/03/2020] [Accepted: 05/04/2020] [Indexed: 06/11/2023]
Abstract
Pansteatitis is the leading cause for the decline in Nile crocodile populations and the sporadic mortality of fish in the Olifants River System, South Africa. To determine the prevalence of this disease in lentic systems, Mozambique tilapia, Oreochromis mossambicus, were collected from Lake Loskop, Lake Flag Boshielo, Phalaborwa Barrage and Lake Luphephe-Nwanedi. The former three impoundments are located within the main stem of the Olifants River, while the latter, which is geographically isolated and situated in the Limpopo River System, served as a reference site. Mesenteric adipose, liver, serosa of the swim bladder, gill and the skeletal muscle of fish sampled were examined for gross and microscopic evidence of pansteatitis. Microscopically observed changes were used to statistically compare pansteatitis prevalence between samples and sites. Based on histopathological evaluation, the adipose tissue in the liver, swim bladder serosa and coelom from severely debilitated individuals showed the most significant pathological changes. Lesions indicative of steatitis were observed in fish collected from Lake Loskop (75%), Lake Flag Boshielo (22%) and Lake Luphephe-Nwanedi (15%). Further investigation is warranted to understand the pervasiveness and mechanisms driving pathological changes of pansteatitis at Lake Flag Boshielo, Phalaborwa Barrage and Lake Luphephe-Nwanedi.
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Affiliation(s)
- Joseph R Sara
- Department of Biodiversity, University of Limpopo, Sovenga, South Africa
- DSI/NRF Research Chair in Ecosystem Health, University of Limpopo, Sovenga, South Africa
| | - Wilmien J Luus-Powell
- Department of Biodiversity, University of Limpopo, Sovenga, South Africa
- DSI/NRF Research Chair in Ecosystem Health, University of Limpopo, Sovenga, South Africa
| | - Susan B Fogelson
- Pathology Consulting Services, Fishhead Labs, LLC, Stuart, FL, USA
| | - Hannes Botha
- Department of Biodiversity, University of Limpopo, Sovenga, South Africa
- Scientific Services, Mpumalanga Tourism and Parks Agency, Nelspruit, South Africa
| | - Theresa C Guillette
- Department Sciences, Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
| | - Willem J Smit
- Department of Biodiversity, University of Limpopo, Sovenga, South Africa
- DSI/NRF Research Chair in Ecosystem Health, University of Limpopo, Sovenga, South Africa
| | - Andre Hoffman
- Scientific Services, Mpumalanga Tourism and Parks Agency, Nelspruit, South Africa
| | - Katlego D Kunutu
- Department of Biodiversity, University of Limpopo, Sovenga, South Africa
- DSI/NRF Research Chair in Ecosystem Health, University of Limpopo, Sovenga, South Africa
| | - Jeremy P Koelmel
- Environmental Health Sciences, Yale University, New Haven, CT, USA
| | - John A Bowden
- Chemical Sciences Division, Hollings Marine Laboratory, National Institute of Standards and Technology, Charleston, SC, USA
- Department of Physiological Sciences, Center for Environmental and Human Toxicology, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA
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Dreier DA, Bowden JA, Aristizabal-Henao JJ, Denslow ND, Martyniuk CJ. Ecotoxico-lipidomics: An emerging concept to understand chemical-metabolic relationships in comparative fish models. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS 2020; 36:100742. [PMID: 32956922 DOI: 10.1016/j.cbd.2020.100742] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Revised: 03/16/2020] [Accepted: 08/24/2020] [Indexed: 12/16/2022]
Abstract
Lipids play an essential role in development, homeostatic functions, immune signaling, reproduction, and growth. Although it is evident that changes in lipid biosynthesis and metabolism can affect organismal physiology, few studies have determined how environmental stressors affect lipid pathways, let alone alter global lipid profiles in fish. This is a significant research gap, as a number of environmental contaminants interact with lipid signaling and metabolic pathways. In this review, we highlight the utility of lipidomics as a tool in environmental toxicology, discussing the current state of knowledge regarding chemical-lipidomic perturbations. As with most oviparous animals, the processing and storage of lipids during oocyte development is also particularly important for embryogenesis in fish. Using largemouth bass (Micropterus salmoides) as an example, transcriptomics data suggest that various chemicals alter lipid metabolism and regulation, highlighting the need for more sophisticated investigations into how toxicants impact lipid responses. We also point out the challenges ahead; these include a lack of understanding about lipid processing and signaling in fish, tissue and species-specific lipid composition, and extraneous factors (e.g., nutrition, temperature) that confound interpretation. For example, toxicant exposure can lead to oxidative stress and lipid peroxidation, resulting in complex lipid byproducts that are challenging to measure. With the emergence of lipidomics in systems toxicology, multi-omics approaches are expected to more clearly define effects on physiology, creating stronger linkages between multiple molecular entities (gene-protein-lipid/metabolite). The development and implementation of novel technologies such as ion mobility-mass spectrometry and ozone-induced dissociation support the complete structural elucidation of lipid molecules. This has implications in the adverse outcome pathway framework, which will enhance the application of lipidomics in toxicology by linking these molecular changes to effects at higher levels of biological organization.
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Affiliation(s)
- David A Dreier
- Center for Environmental & Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - John A Bowden
- Center for Environmental & Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Juan J Aristizabal-Henao
- Center for Environmental & Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Nancy D Denslow
- Center for Environmental & Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Christopher J Martyniuk
- Center for Environmental & Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, Genetics Institute, University of Florida, Gainesville, FL, USA.
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Koelmel JP, Napolitano MP, Ulmer CZ, Vasiliou V, Garrett TJ, Yost RA, Prasad MNV, Godri Pollitt KJ, Bowden JA. Environmental lipidomics: understanding the response of organisms and ecosystems to a changing world. Metabolomics 2020; 16:56. [PMID: 32307636 DOI: 10.1007/s11306-020-01665-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 03/13/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Understanding the interaction between organisms and the environment is important for predicting and mitigating the effects of global phenomena such as climate change, and the fate, transport, and health effects of anthropogenic pollutants. By understanding organism and ecosystem responses to environmental stressors at the molecular level, mechanisms of toxicity and adaptation can be determined. This information has important implications in human and environmental health, engineering biotechnologies, and understanding the interaction between anthropogenic induced changes and the biosphere. One class of molecules with unique promise for environmental science are lipids; lipids are highly abundant and ubiquitous across nearly all organisms, and lipid profiles often change drastically in response to external stimuli. These changes allow organisms to maintain essential biological functions, for example, membrane fluidity, as they adapt to a changing climate and chemical environment. Lipidomics can help scientists understand the historical and present biofeedback processes in climate change and the biogeochemical processes affecting nutrient cycles. Lipids can also be used to understand how ecosystems respond to historical environmental changes with lipid signatures dating back to hundreds of millions of years, which can help predict similar changes in the future. In addition, lipids are direct targets of environmental stressors, for example, lipids are easily prone to oxidative damage, which occurs during exposure to most toxins. AIM OF REVIEW This is the first review to summarize the current efforts to comprehensively measure lipids to better understand the interaction between organisms and their environment. This review focuses on lipidomic applications in the arenas of environmental toxicology and exposure assessment, xenobiotic exposures and health (e.g., obesity), global climate change, and nutrient cycles. Moreover, this review summarizes the use of and the potential for lipidomics in engineering biotechnologies for the remediation of persistent compounds and biofuel production. KEY SCIENTIFIC CONCEPT With the preservation of certain lipids across millions of years and our ever-increasing understanding of their diverse biological roles, lipidomic-based approaches provide a unique utility to increase our understanding of the contemporary and historical interactions between organisms, ecosystems, and anthropogenically-induced environmental changes.
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Affiliation(s)
- Jeremy P Koelmel
- Department of Chemistry, University of Florida, 125 Buckman Drive, Gainesville, FL, 32611, USA
- Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, CT, 06510, USA
| | - Michael P Napolitano
- CSS, Inc., under contract to National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Science, Hollings Marine Laboratory, 331 Fort Johnson Road, Charleston, SC, 29412, USA
| | - Candice Z Ulmer
- National Institute of Standards and Technology, Hollings Marine Laboratory, 331 Ft. Johnson Road, Charleston, SC, 29412, USA
| | - Vasilis Vasiliou
- Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, CT, 06510, USA
| | - Timothy J Garrett
- Department of Chemistry, University of Florida, 125 Buckman Drive, Gainesville, FL, 32611, USA
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, 32610, USA
| | - Richard A Yost
- Department of Chemistry, University of Florida, 125 Buckman Drive, Gainesville, FL, 32611, USA
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, 32610, USA
| | - M N V Prasad
- Department of Plant Sciences, University of Hyderabad, Hyderabad, Telangana, 500046, India
| | - Krystal J Godri Pollitt
- Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, CT, 06510, USA
| | - John A Bowden
- Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, 1333 Center Drive, Gainesville, FL, 32610, USA.
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