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Igoshin AV, Romashov GA, Yurchenko AA, Yudin NS, Larkin DM. Scans for Signatures of Selection in Genomes of Wagyu and Buryat Cattle Breeds Reveal Candidate Genes and Genetic Variants for Adaptive Phenotypes and Production Traits. Animals (Basel) 2024; 14:2059. [PMID: 39061521 PMCID: PMC11274160 DOI: 10.3390/ani14142059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 07/10/2024] [Accepted: 07/11/2024] [Indexed: 07/28/2024] Open
Abstract
Past and ongoing selection shapes the genomes of livestock breeds. Identifying such signatures of selection allows for uncovering the genetic bases of affected phenotypes, including economically important traits and environmental adaptations, for the further improvement of breed genetics to respond to climate and economic challenges. Turano-Mongolian cattle are a group of taurine breeds known for their adaptation to extreme environmental conditions and outstanding production performance. Buryat Turano-Mongolian cattle are among the few breeds adapted to cold climates and poor forage. Wagyu, on the other hand, is famous for high productivity and unique top-quality marbled meat. We used hapFLK, the de-correlated composite of multiple signals (DCMS), PBS, and FST methods to search for signatures of selection in their genomes. The scans revealed signals in genes related to cold adaptation (e.g., STAT3, DOCK5, GSTM3, and CXCL8) and food digestibility (SI) in the Buryat breed, and growth and development traits (e.g., RBFOX2 and SHOX2) and marbling (e.g., DGAT1, IQGAP2, RSRC1, and DIP2B) in Wagyu. Several putatively selected genes associated with reproduction, immunity, and resistance to pathogens were found in both breed genomes. The results of our work could be used for creating new productive adapted breeds or improving the extant breeds.
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Affiliation(s)
- Alexander V. Igoshin
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia; (A.V.I.)
| | - Grigorii A. Romashov
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia; (A.V.I.)
| | - Andrey A. Yurchenko
- INSERM U981, Gustave Roussy Cancer Campus, Université Paris Saclay, 94800 Villejuif, France
| | - Nikolay S. Yudin
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia; (A.V.I.)
| | - Denis M. Larkin
- Royal Veterinary College, University of London, London NW1 0TU, UK
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Matsuki E, Kawamoto S, Morikawa Y, Yahagi N. The Impact of Cold Ambient Temperature in the Pattern of Influenza Virus Infection. Open Forum Infect Dis 2023; 10:ofad039. [PMID: 36789010 PMCID: PMC9915965 DOI: 10.1093/ofid/ofad039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 01/25/2023] [Indexed: 01/29/2023] Open
Abstract
Background Prior literature suggests that cold temperature strongly influences the immune function of animals and human behaviors, which may allow for the transmission of respiratory viral infections. However, information on the impact of cold stimuli, especially the impact of temporal change in the ambient temperature on influenza virus transmission, is limited. Methods A susceptible-infected-recovered-susceptible model was applied to evaluate the effect of temperature change on influenza virus transmission. Results The mean temperature of the prior week was positively associated with the number of newly diagnosed cases (0.107 [95% Bayesian credible interval {BCI}, .106-.109]), whereas the mean difference in the temperature of the prior week was negatively associated (-0.835 [95% BCI, -.840 to -.830]). The product of the mean temperature and mean difference in the temperature of the previous week were also negatively associated with the number of newly diagnosed cases (-0.192 [95% BCI, -.197 to -.187]). Conclusions The mean temperature and the mean difference in temperature affected the number of newly diagnosed influenza cases differently. Our data suggest that high ambient temperature and a drop in the temperature and their interaction increase the risk of infection. Therefore, the highest risk of infection is attributable to a steep fall in temperature in a relatively warm environment.
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Affiliation(s)
- Eri Matsuki
- Correspondence: Naohisa Yahagi, MD, PhD, Keio University, Graduate School of Media and Governance, 5322 Endo, Fujisawa-shi, Kanagawa 252-0882, Japan (); Eri Matsuki, MD, PhD, MPH, Keio University School of Medicine, Clinical and Translational Research Center, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan ()
| | - Shota Kawamoto
- Graduate School of Media and Governance, Keio University, Kanagawa, Japan
| | - Yoshihiko Morikawa
- Graduate School of Media and Governance, Keio University, Kanagawa, Japan
| | - Naohisa Yahagi
- Correspondence: Naohisa Yahagi, MD, PhD, Keio University, Graduate School of Media and Governance, 5322 Endo, Fujisawa-shi, Kanagawa 252-0882, Japan (); Eri Matsuki, MD, PhD, MPH, Keio University School of Medicine, Clinical and Translational Research Center, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan ()
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Inaba Y, Iwamoto S, Nakayama K. Genome-wide DNA methylation status of Mongolians exhibits signs of cellular stress response related to their nomadic lifestyle. J Physiol Anthropol 2022; 41:30. [PMID: 35986394 PMCID: PMC9388360 DOI: 10.1186/s40101-022-00305-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 08/10/2022] [Indexed: 11/29/2022] Open
Abstract
Background Epigenetics is crucial for connecting environmental stresses with physiological responses in humans. Mongolia, where nomadic livestock pastoralism has been the primal livelihood, has a higher prevalence of various chronic diseases than the surrounding East Asian regions, which are more suitable for crop farming. The genes related to dietary stress and pathogenesis of related disorders may have varying epigenetic statuses among the human populations with diverse dietary cultures. Hence, to understand such epigenetic differences, we conducted a comparative analysis of genome-wide DNA methylation of Mongolians and crop-farming East Asians. Methods Genome-wide DNA methylation status of peripheral blood cells (PBCs) from 23 Mongolian adults and 24 Thai adults was determined using the Infinium Human Methylation 450K arrays and analyzed in combination with previously published 450K data of 20 Japanese and 8 Chinese adults. CpG sites/regions differentially methylated between Mongolians and crop-farming East Asians were detected using a linear model adjusted for sex, age, ethnicity, and immune cell heterogeneity on RnBeads software. Results Of the quality-controlled 389,454 autosomal CpG sites, 223 CpG sites were significantly differentially methylated among Mongolians and the four crop farming East Asian populations (false discovery rate < 0.05). Analyses focused on gene promoter regions revealed that PM20D1 (peptidase M20 domain containing 1), which is involved in mitochondrial uncoupling and various processes, including cellular protection from reactive oxygen species (ROS) and thermogenesis, was the top differentially methylated gene. Moreover, gene ontology enrichment analysis revealed that biological processes related to ROS metabolism were overrepresented among the top 1% differentially methylated genes. The promoter regions of these genes were generally hypermethylated in Mongolians, suggesting that the metabolic pathway detoxifying ROS might be globally suppressed in Mongolians, resulting in the high susceptibility of this population to various chronic diseases. Conclusions This study showed a significantly diverse DNA methylation status among Mongolians and crop-farming East Asians. Further, we found an association between the differentially methylated genes and various metabolic and neurodegenerative diseases. Knowledge of the epigenetic regulators might help in proper understanding, treatment, and control of such disorders, and physiological adaptation in the future. Supplementary Information The online version contains supplementary material available at 10.1186/s40101-022-00305-0.
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Park J, Legaspi SLF, Schwartzman LM, Gygli SM, Sheng ZM, Freeman AD, Matthews LM, Xiao Y, Ramuta MD, Batchenkova NA, Qi L, Rosas LA, Williams SL, Scherler K, Gouzoulis M, Bellayr I, Morens DM, Walters KA, Memoli MJ, Kash JC, Taubenberger JK. An inactivated multivalent influenza A virus vaccine is broadly protective in mice and ferrets. Sci Transl Med 2022; 14:eabo2167. [PMID: 35857640 PMCID: PMC11022527 DOI: 10.1126/scitranslmed.abo2167] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Influenza A viruses (IAVs) present major public health threats from annual seasonal epidemics and pandemics and from viruses adapted to a variety of animals including poultry, pigs, and horses. Vaccines that broadly protect against all such IAVs, so-called "universal" influenza vaccines, do not currently exist but are urgently needed. Here, we demonstrated that an inactivated, multivalent whole-virus vaccine, delivered intramuscularly or intranasally, was broadly protective against challenges with multiple IAV hemagglutinin and neuraminidase subtypes in both mice and ferrets. The vaccine is composed of four β-propiolactone-inactivated low-pathogenicity avian IAV subtypes of H1N9, H3N8, H5N1, and H7N3. Vaccinated mice and ferrets demonstrated substantial protection against a variety of IAVs, including the 1918 H1N1 strain, the highly pathogenic avian H5N8 strain, and H7N9. We also observed protection against challenge with antigenically variable and heterosubtypic avian, swine, and human viruses. Compared to control animals, vaccinated mice and ferrets demonstrated marked reductions in viral titers, lung pathology, and host inflammatory responses. This vaccine approach indicates the feasibility of eliciting broad, heterosubtypic IAV protection and identifies a promising candidate for influenza vaccine clinical development.
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Affiliation(s)
- Jaekeun Park
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sharon L. Fong Legaspi
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Louis M. Schwartzman
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sebastian M. Gygli
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Zhong-Mei Sheng
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ashley D. Freeman
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Lex M. Matthews
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Yongli Xiao
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Mitchell D. Ramuta
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Natalia A. Batchenkova
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Li Qi
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Luz Angela Rosas
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Stephanie L. Williams
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Monica Gouzoulis
- Clinical Studies Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ian Bellayr
- Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892 USA
| | - David M. Morens
- Office of the Director, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Matthew J. Memoli
- Clinical Studies Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - John C. Kash
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jeffery K. Taubenberger
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
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Lu J, Fu S, Dai J, Hu J, Li S, Ji H, Wang Z, Yu J, Bao J, Xu B, Guo J, Yang H. Integrated metabolism and epigenetic modifications in the macrophages of mice in responses to cold stress. J Zhejiang Univ Sci B 2022; 23:461-480. [PMID: 35686526 PMCID: PMC9198231 DOI: 10.1631/jzus.b2101091] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The negative effects of low temperature can readily induce a variety of diseases. We sought to understand the reasons why cold stress induces disease by studying the mechanisms of fine-tuning in macrophages following cold exposure. We found that cold stress triggers increased macrophage activation accompanied by metabolic reprogramming of aerobic glycolysis. The discovery, by genome-wide RNA sequencing, of defective mitochondria in mice macrophages following cold exposure indicated that mitochondrial defects may contribute to this process. In addition, changes in metabolism drive the differentiation of macrophages by affecting histone modifications. Finally, we showed that histone acetylation and lactylation are modulators of macrophage differentiation following cold exposure. Collectively, metabolism-related epigenetic modifications are essential for the differentiation of macrophages in cold-stressed mice, and the regulation of metabolism may be crucial for alleviating the harm induced by cold stress.
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Affiliation(s)
- Jingjing Lu
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing 163319, China
| | - Shoupeng Fu
- College of Veterinary Medicine, Jilin University, Changchun 130062, China
| | - Jie Dai
- Shanghai Bioprofile Co. Ltd., Shanghai 201100, China
| | - Jianwen Hu
- Shanghai Bioprofile Co. Ltd., Shanghai 201100, China
| | - Shize Li
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing 163319, China
| | - Hong Ji
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing 163319, China
| | - Zhiquan Wang
- Faculty of Agricultural, Life and Environmental Sciences, University of Alberta, Edmonton, Alberta T5J 4P6, Canada
| | - Jiahong Yu
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing 163319, China
| | - Jiming Bao
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing 163319, China
| | - Bin Xu
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing 163319, China
| | - Jingru Guo
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
| | - Huanmin Yang
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
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Spiljar M, Steinbach K, Rigo D, Suárez-Zamorano N, Wagner I, Hadadi N, Vincenti I, Page N, Klimek B, Rochat MA, Kreutzfeldt M, Chevalier C, Stojanović O, Bejuy O, Colin D, Mack M, Cansever D, Greter M, Merkler D, Trajkovski M. Cold exposure protects from neuroinflammation through immunologic reprogramming. Cell Metab 2021; 33:2231-2246.e8. [PMID: 34687652 PMCID: PMC8570411 DOI: 10.1016/j.cmet.2021.10.002] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 07/24/2021] [Accepted: 10/01/2021] [Indexed: 02/07/2023]
Abstract
Autoimmunity is energetically costly, but the impact of a metabolically active state on immunity and immune-mediated diseases is unclear. Ly6Chi monocytes are key effectors in CNS autoimmunity with an elusive role in priming naive autoreactive T cells. Here, we provide unbiased analysis of the immune changes in various compartments during cold exposure and show that this energetically costly stimulus markedly ameliorates active experimental autoimmune encephalomyelitis (EAE). Cold exposure decreases MHCII on monocytes at steady state and in various inflammatory mouse models and suppresses T cell priming and pathogenicity through the modulation of monocytes. Genetic or antibody-mediated monocyte depletion or adoptive transfer of Th1- or Th17-polarized cells for EAE abolishes the cold-induced effects on T cells or EAE, respectively. These findings provide a mechanistic link between environmental temperature and neuroinflammation and suggest competition between cold-induced metabolic adaptations and autoimmunity as energetic trade-off beneficial for the immune-mediated diseases.
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Affiliation(s)
- Martina Spiljar
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Karin Steinbach
- Department of Pathology and Immunology, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland
| | - Dorothée Rigo
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Nicolas Suárez-Zamorano
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Ingrid Wagner
- Department of Pathology and Immunology, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland
| | - Noushin Hadadi
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Ilena Vincenti
- Department of Pathology and Immunology, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland
| | - Nicolas Page
- Department of Pathology and Immunology, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland
| | - Bogna Klimek
- Department of Pathology and Immunology, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland
| | - Mary-Aude Rochat
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Mario Kreutzfeldt
- Department of Pathology and Immunology, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland
| | - Claire Chevalier
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Ozren Stojanović
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Olivia Bejuy
- CIBM Centre for BioMedical Imaging, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
| | - Didier Colin
- Small Animal Preclinical Imaging Platform, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
| | - Matthias Mack
- Department of Internal Medicine II - Nephrology, University Hospital Regensburg, Regensburg, Germany
| | - Dilay Cansever
- Institute of Experimental Immunology, University of Zurich, Zurich, Switzerland
| | - Melanie Greter
- Institute of Experimental Immunology, University of Zurich, Zurich, Switzerland
| | - Doron Merkler
- Department of Pathology and Immunology, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland; Division of Clinical Pathology, Geneva University Hospitals, Geneva, Switzerland.
| | - Mirko Trajkovski
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Centre Médical Universitaire (CMU), University of Geneva, Geneva, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
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Lindsay A, Peake JM. Muscle Strength and Power: Primary Outcome Measures to Assess Cold Water Immersion Efficacy After Exercise With a Strong Strength or Power Component. Front Sports Act Living 2021; 3:655975. [PMID: 34195611 PMCID: PMC8236536 DOI: 10.3389/fspor.2021.655975] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 05/18/2021] [Indexed: 01/27/2023] Open
Affiliation(s)
- Angus Lindsay
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia
| | - Jonathan M Peake
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.,Sport Performance Knowledge and Innovation Excellence, Queensland Academy of Sport, Brisbane, QLD, Australia
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Jové M, Tibau J, Serrano JCE, Berdún R, Rodríguez-Palmero M, Font-i-Furnols M, Cassanyé A, Rodriguez-Mortera R, Sol J, Rassendren H, Fàbrega E, Crescenti A, Castell A, Sabater M, Ortega FJ, Martin-Gari M, Quintanilla R, Puigjaner J, Moreno JA, Prat J, Arola L, Fernández-Real JM, Pamplona R, Portero-Otin M. Molecular phenomics of a high-calorie diet-induced porcine model of prepubertal obesity. J Nutr Biochem 2020; 83:108393. [DOI: 10.1016/j.jnutbio.2020.108393] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 03/05/2020] [Accepted: 04/02/2020] [Indexed: 12/12/2022]
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