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Li X, Morel JD, Sulc J, De Masi A, Lalou A, Benegiamo G, Poisson J, Liu Y, Von Alvensleben GVG, Gao AW, Bou Sleiman M, Auwerx J. Systems genetics of metabolic health in the BXD mouse genetic reference population. Cell Syst 2024:S2405-4712(24)00150-9. [PMID: 38866010 DOI: 10.1016/j.cels.2024.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 02/29/2024] [Accepted: 05/20/2024] [Indexed: 06/14/2024]
Abstract
Susceptibility to metabolic syndrome (MetS) is dependent on genetics, environment, and gene-by-environment interactions, rendering the study of underlying mechanisms challenging. The majority of experiments in model organisms do not incorporate genetic variation and lack specific evaluation criteria for MetS. Here, we derived a continuous metric, the metabolic health score (MHS), based on standard clinical parameters and defined its molecular signatures in the liver and circulation. In human UK Biobank, the MHS associated with MetS status and was predictive of future disease incidence, even in individuals without MetS. Using quantitative trait locus analyses in mice, we found two MHS-associated genetic loci and replicated them in unrelated mouse populations. Through a prioritization scheme in mice and human genetic data, we identified TNKS and MCPH1 as candidates mediating differences in the MHS. Our findings provide insights into the molecular mechanisms sustaining metabolic health across species and uncover likely regulators. A record of this paper's transparent peer review process is included in the supplemental information.
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Affiliation(s)
- Xiaoxu Li
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Jean-David Morel
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Jonathan Sulc
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Alessia De Masi
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Amélia Lalou
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Giorgia Benegiamo
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Johanne Poisson
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Yasmine Liu
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Giacomo V G Von Alvensleben
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Arwen W Gao
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Maroun Bou Sleiman
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Johan Auwerx
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
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2
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Fung KYY, Ho TWW, Xu Z, Neculai D, Beauchemin CAA, Lee WL, Fairn GD. Apolipoprotein A1 and high-density lipoprotein limit low-density lipoprotein transcytosis by binding SR-B1. J Lipid Res 2024; 65:100530. [PMID: 38479648 PMCID: PMC11004410 DOI: 10.1016/j.jlr.2024.100530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 02/27/2024] [Accepted: 02/29/2024] [Indexed: 04/09/2024] Open
Abstract
Atherosclerosis results from the deposition and oxidation of LDL and immune cell infiltration in the sub-arterial space leading to arterial occlusion. Studies have shown that transcytosis transports circulating LDL across endothelial cells lining blood vessels. LDL transcytosis is initiated by binding to either scavenger receptor B1 (SR-B1) or activin A receptor-like kinase 1 on the apical side of endothelial cells leading to its transit and release on the basolateral side. HDL is thought to partly protect individuals from atherosclerosis due to its ability to remove excess cholesterol and act as an antioxidant. Apolipoprotein A1 (APOA1), an HDL constituent, can bind to SR-B1, raising the possibility that APOA1/HDL can compete with LDL for SR-B1 binding, thereby limiting LDL deposition in the sub-arterial space. To examine this possibility, we used in vitro approaches to quantify the internalization and transcytosis of fluorescent LDL in coronary endothelial cells. Using microscale thermophoresis and affinity capture, we find that SR-B1 and APOA1 interact and that binding is enhanced when using the cardioprotective variant of APOA1 termed Milano (APOA1-Milano). In male mice, transiently increasing the levels of HDL reduced the acute deposition of fluorescently labeled LDL in the atheroprone inner curvature of the aorta. Reduced LDL deposition was also observed when increasing circulating wild-type APOA1 or the APOA1-Milano variant, with a more robust inhibition from the APOA1-Milano. The results suggest that HDL may limit SR-B1-mediated LDL transcytosis and deposition, adding to the mechanisms by which it can act as an atheroprotective particle.
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Affiliation(s)
- Karen Y Y Fung
- Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada; Keenan Research Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Tse Wing Winnie Ho
- Keenan Research Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Zizhen Xu
- Department of Cell Biology, and Department of Pathology Sir Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dante Neculai
- Department of Cell Biology, and Department of Pathology Sir Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Catherine A A Beauchemin
- Department of Physics, Toronto Metropolitan University, Toronto, Ontario, Canada; Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS) program, RIKEN, Wako, Saitama, Japan
| | - Warren L Lee
- Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada; Keenan Research Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.
| | - Gregory D Fairn
- Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada; Keenan Research Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada; Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada.
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3
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Ball RL, Bogue MA, Liang H, Srivastava A, Ashbrook DG, Lamoureux A, Gerring MW, Hatoum AS, Kim MJ, He H, Emerson J, Berger AK, Walton DO, Sheppard K, El Kassaby B, Castellanos F, Kunde-Ramamoorthy G, Lu L, Bluis J, Desai S, Sundberg BA, Peltz G, Fang Z, Churchill GA, Williams RW, Agrawal A, Bult CJ, Philip VM, Chesler EJ. GenomeMUSter mouse genetic variation service enables multitrait, multipopulation data integration and analysis. Genome Res 2024; 34:145-159. [PMID: 38290977 PMCID: PMC10903950 DOI: 10.1101/gr.278157.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 01/10/2024] [Indexed: 02/01/2024]
Abstract
Hundreds of inbred mouse strains and intercross populations have been used to characterize the function of genetic variants that contribute to disease. Thousands of disease-relevant traits have been characterized in mice and made publicly available. New strains and populations including consomics, the collaborative cross, expanded BXD, and inbred wild-derived strains add to existing complex disease mouse models, mapping populations, and sensitized backgrounds for engineered mutations. The genome sequences of inbred strains, along with dense genotypes from others, enable integrated analysis of trait-variant associations across populations, but these analyses are hampered by the sparsity of genotypes available. Moreover, the data are not readily interoperable with other resources. To address these limitations, we created a uniformly dense variant resource by harmonizing multiple data sets. Missing genotypes were imputed using the Viterbi algorithm with a data-driven technique that incorporates local phylogenetic information, an approach that is extendable to other model organisms. The result is a web- and programmatically accessible data service called GenomeMUSter, comprising single-nucleotide variants covering 657 strains at 106.8 million segregating sites. Interoperation with phenotype databases, analytic tools, and other resources enable a wealth of applications, including multitrait, multipopulation meta-analysis. We show this in cross-species comparisons of type 2 diabetes and substance use disorder meta-analyses, leveraging mouse data to characterize the likely role of human variant effects in disease. Other applications include refinement of mapped loci and prioritization of strain backgrounds for disease modeling to further unlock extant mouse diversity for genetic and genomic studies in health and disease.
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Affiliation(s)
- Robyn L Ball
- The Jackson Laboratory, Bar Harbor, Maine 04609, USA;
| | - Molly A Bogue
- The Jackson Laboratory, Bar Harbor, Maine 04609, USA
| | | | - Anuj Srivastava
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA
| | - David G Ashbrook
- University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA
| | | | | | - Alexander S Hatoum
- Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri 63130, USA
- Artificial Intelligence and the Internet of Things Institute, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | - Matthew J Kim
- University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Hao He
- The Jackson Laboratory, Bar Harbor, Maine 04609, USA
| | - Jake Emerson
- The Jackson Laboratory, Bar Harbor, Maine 04609, USA
| | | | | | | | | | | | | | - Lu Lu
- University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA
| | - John Bluis
- The Jackson Laboratory, Bar Harbor, Maine 04609, USA
| | - Sejal Desai
- The Jackson Laboratory, Bar Harbor, Maine 04609, USA
| | | | - Gary Peltz
- Department of Anesthesia, Pain and Perioperative Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Zhuoqing Fang
- Department of Anesthesia, Pain and Perioperative Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
| | | | - Robert W Williams
- University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | - Carol J Bult
- The Jackson Laboratory, Bar Harbor, Maine 04609, USA
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Horvath S, Singh K, Raj K, Khairnar SI, Sanghavi A, Shrivastava A, Zoller JA, Li CZ, Herenu CB, Canatelli-Mallat M, Lehmann M, Habazin S, Novokmet M, Vučković F, Solberg Woods LC, Martinez AG, Wang T, Chiavellini P, Levine AJ, Chen H, Brooke RT, Gordevicius J, Lauc G, Goya RG, Katcher HL. Reversal of biological age in multiple rat organs by young porcine plasma fraction. GeroScience 2024; 46:367-394. [PMID: 37875652 PMCID: PMC10828479 DOI: 10.1007/s11357-023-00980-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 10/09/2023] [Indexed: 10/26/2023] Open
Abstract
Young blood plasma is known to confer beneficial effects on various organs in mice and rats. However, it was not known whether plasma from young adult pigs rejuvenates old rat tissues at the epigenetic level; whether it alters the epigenetic clock, which is a highly accurate molecular biomarker of aging. To address this question, we developed and validated six different epigenetic clocks for rat tissues that are based on DNA methylation values derived from n = 613 tissue samples. As indicated by their respective names, the rat pan-tissue clock can be applied to DNA methylation profiles from all rat tissues, while the rat brain, liver, and blood clocks apply to the corresponding tissue types. We also developed two epigenetic clocks that apply to both human and rat tissues by adding n = 1366 human tissue samples to the training data. We employed these six rat clocks to investigate the rejuvenation effects of a porcine plasma fraction treatment in different rat tissues. The treatment more than halved the epigenetic ages of blood, heart, and liver tissue. A less pronounced, but statistically significant, rejuvenation effect could be observed in the hypothalamus. The treatment was accompanied by progressive improvement in the function of these organs as ascertained through numerous biochemical/physiological biomarkers, behavioral responses encompassing cognitive functions. An immunoglobulin G (IgG) N-glycosylation pattern shift from pro- to anti-inflammatory also indicated reversal of glycan aging. Overall, this study demonstrates that a young porcine plasma-derived treatment markedly reverses aging in rats according to epigenetic clocks, IgG glycans, and other biomarkers of aging.
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Affiliation(s)
- Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA.
- Altos Labs, Cambridge, UK.
| | - Kavita Singh
- Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM's NMIMS University, Mumbai, India
| | | | - Shraddha I Khairnar
- Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM's NMIMS University, Mumbai, India
| | | | | | - Joseph A Zoller
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Caesar Z Li
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Claudia B Herenu
- Institute for Experimental Pharmacology of Cordoba (IFEC), School of Chemical Sciences, National University of Cordoba, Cordoba, Argentina
| | - Martina Canatelli-Mallat
- Biochemistry Research Institute of La Plata-Histology B, Pathology B, School of Medicine, University of La Plata, La Plata, Argentina
| | - Marianne Lehmann
- Biochemistry Research Institute of La Plata-Histology B, Pathology B, School of Medicine, University of La Plata, La Plata, Argentina
| | | | | | | | - Leah C Solberg Woods
- Wake Forest University School of Medicine, Medical Center Drive, Winston Salem, NC, USA
| | - Angel Garcia Martinez
- Department of Pharmacology, Addiction Science and Toxicology, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Tengfei Wang
- Department of Pharmacology, Addiction Science and Toxicology, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Priscila Chiavellini
- Biochemistry Research Institute of La Plata-Histology B, Pathology B, School of Medicine, University of La Plata, La Plata, Argentina
| | - Andrew J Levine
- Department of Neurology, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA
| | - Hao Chen
- Department of Pharmacology, Addiction Science and Toxicology, The University of Tennessee Health Science Center, Memphis, TN, USA
| | | | | | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Rodolfo G Goya
- Biochemistry Research Institute of La Plata-Histology B, Pathology B, School of Medicine, University of La Plata, La Plata, Argentina
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5
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Shin MK, Tang WY, Amorim MR, Sham JSK, Polotsky VY. Carotid body denervation improves hyperglycemia in obese mice. J Appl Physiol (1985) 2024; 136:233-243. [PMID: 38126089 DOI: 10.1152/japplphysiol.00215.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 11/14/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023] Open
Abstract
The carotid bodies (CBs) have been implicated in glucose abnormalities in obesity via elevation of activity of the sympathetic nervous system. Obesity-induced hypertension is mediated by insulin receptor (INSR) signaling and by leptin, which binds to the leptin receptor (LEPRb) in CB and activates transient receptor potential channel subfamily M member 7 (TRPM7). We hypothesize that in mice with diet-induced obesity, hyperglycemia, glucose intolerance, and insulin resistance will be attenuated by the CB denervation (carotid sinus nerve dissection, CSND) and by knockdown of Leprb, Trpm7, and Insr gene expression in CB. In series of experiments in 75 male diet-induced obese (DIO) mice, we performed either CSND (vs. sham) surgeries or shRNA-induced suppression of Leprb, Trpm7, or Insr gene expression in CB, followed by blood pressure telemetry, intraperitoneal glucose tolerance and insulin tolerance tests, and measurements of fasting plasma insulin, leptin, corticosterone, glucagon and free fatty acids (FFAs) levels, hepatic expression of gluconeogenesis enzymes phosphoenolpyruvate carboxykinase (PEPCK) and glucose 6-phosphatase (G-6-Pase) mRNA and liver glycogen levels. CSND decreased blood pressure, fasting blood glucose levels and improved glucose tolerance without any effect on insulin resistance. CSND did not affect any hormone levels and gluconeogenesis enzymes, but increased liver glycogen level. Genetic knockdown of CB Leprb, Trpm7, and Insr had no effect on glucose metabolism. We conclude that CB contributes to hyperglycemia of obesity, probably by modulation of the glycogen-glucose equilibrium. Diabetogenic effects of obesity on CB in mice do not occur via activation of CB Leprb, Trpm7, and Insr.NEW & NOTEWORTHY This paper provides first evidence that carotid body denervation abolishes hypertension and improves fasting blood glucose levels and glucose tolerance in mice with diet-induced obesity. Furthermore, we have shown that this phenomenon is associated with increased liver glycogen content, whereas insulin sensitivity and enzymes of gluconeogenesis were not affected.
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Affiliation(s)
- Mi-Kyung Shin
- Department of Anesthesiology and Critical Care Medicine, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, United States
| | - Wan-Yee Tang
- Department of Environmental and Occupational Health, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, United States
| | - Mateus R Amorim
- Department of Anesthesiology and Critical Care Medicine, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, United States
| | - James S-K Sham
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Vsevolod Y Polotsky
- Department of Anesthesiology and Critical Care Medicine, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, United States
- Department of Pharmacology and Physiology, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, United States
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6
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Emini L, Salbach‐Hirsch J, Krug J, Jähn‐Rickert K, Busse B, Rauner M, Hofbauer LC. Utility and Limitations of TALLYHO/JngJ as a Model for Type 2 Diabetes-Induced Bone Disease. JBMR Plus 2023; 7:e10843. [PMID: 38130754 PMCID: PMC10731141 DOI: 10.1002/jbm4.10843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 10/06/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) increases risk of fractures due to bone microstructural and material deficits, though the mechanisms remain unclear. Preclinical models mimicking diabetic bone disease are required to further understand its pathogenesis. The TALLYHO/JngJ (TH) mouse is a polygenic model recapitulating adolescent-onset T2DM in humans. Due to incomplete penetrance of the phenotype ~25% of male TH mice never develop hyperglycemia, providing a strain-matched nondiabetic control. We performed a comprehensive characterization of the metabolic and skeletal phenotype of diabetic TH mice and compared them to either their nondiabetic TH controls or the recommended SWR/J controls to evaluate their suitability to study diabetic bone disease in humans. Compared to both controls, male TH mice with T2DM exhibited higher blood glucose levels, weight along with impaired glucose tolerance and insulin sensitivity. TH mice with/without T2DM displayed higher cortical bone parameters and lower trabecular bone parameters in the femurs and vertebrae compared to SWR/J. The mechanical properties remained unchanged for all three groups except for a low-energy failure in TH mice with T2DM only compared to SWR/J. Histomorphometry analyses only revealed higher number of osteoclasts and osteocytes for SWR/J compared to both groups of TH. Bone turnover markers procollagen type 1 N-terminal propeptide (P1NP) and tartrate-resistant acid phosphatase (TRAP) were low for both groups of TH mice compared to SWR/J. Silver nitrate staining of the femurs revealed low number of osteocyte lacunar and dendrites in TH mice with T2DM. Three-dimensional assessment showed reduced lacunar parameters in trabecular and cortical bone. Notably, osteocyte morphology changed in TH mice with T2DM compared to SWR/J. In summary, our study highlights the utility of the TH mouse to study T2DM, but not necessarily T2DM-induced bone disease, as there were no differences in bone strength and bone cell parameters between diabetic and non-diabetic TH mice. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Affiliation(s)
- Lejla Emini
- Department of Medicine III and Center for Healthy AgingTechnische Universität Dresden Medical CenterDresdenGermany
| | - Juliane Salbach‐Hirsch
- Department of Medicine III and Center for Healthy AgingTechnische Universität Dresden Medical CenterDresdenGermany
| | - Johannes Krug
- Department of Osteology and BiomechanicsUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Katharina Jähn‐Rickert
- Department of Osteology and BiomechanicsUniversity Medical Center Hamburg‐EppendorfHamburgGermany
- Mildred Scheel Cancer Career Center HamburgUniversity Cancer Center Hamburg, University Medical Center Hamburg‐EppendorfHamburgGermany
| | - Björn Busse
- Department of Osteology and BiomechanicsUniversity Medical Center Hamburg‐EppendorfHamburgGermany
- Mildred Scheel Cancer Career Center HamburgUniversity Cancer Center Hamburg, University Medical Center Hamburg‐EppendorfHamburgGermany
- Interdisciplinary Competence Center for Interface Research (ICCIR)University Medical Center Hamburg‐Eppendorf (UKE)HamburgGermany
| | - Martina Rauner
- Department of Medicine III and Center for Healthy AgingTechnische Universität Dresden Medical CenterDresdenGermany
| | - Lorenz C. Hofbauer
- Department of Medicine III and Center for Healthy AgingTechnische Universität Dresden Medical CenterDresdenGermany
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7
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Mačianskienė R, Zigmantaitė V, Andriulė I, Pangonytė D, Sadauskienė I, Arandarčikaitė O, Stankevičius A, Grigas J, Pautienius A, Treinys R, Navalinskas A, Grigalevičiūtė R, Kučinskas A, Pudžiuvelytė L, Bernatonienė J, Jurevičius J. Acute and Sub-Chronic Intraperitoneal Toxicity Studies of the Elsholtzia ciliata Herbal Extract in Balb/c Mice. Pharmaceutics 2023; 15:2417. [PMID: 37896177 PMCID: PMC10610345 DOI: 10.3390/pharmaceutics15102417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 09/22/2023] [Accepted: 09/28/2023] [Indexed: 10/29/2023] Open
Abstract
Elsholtzia ciliata essential oil (E. ciliata) has been reported to have an impact on the cardiovascular system. However, its toxicity remains unknown. Therefore, the objective of this investigation was to evaluate the toxicological aspects of the E. ciliata extract. Male Balb/c mice were subjected to either acute (a single dose administered for 24 h) or sub-chronic (daily dose for 60 days) intraperitoneal injections of the E. ciliata extract. The mice were assessed for blood hematological/biochemical profiles, mitochondrial functions, and histopathological changes. Additionally, in vitro cytotoxicity assessments of the E. ciliata extract were performed on immobilized primate kidney cells (MARC-145, Vero) and rat liver cells (WBF344) to evaluate cell viability. The control groups received an equivalent volume of olive oil or saline. Our results demonstrated no significant detrimental effects on hematological and biochemical parameters, mitochondrial functions, cellular cytotoxicity, or pathological alterations in vital organs following the intraperitoneal administration of the E. ciliata extract over the 60-day sub-chronic toxicity study. In general, E. ciliata displayed no indications of toxicity, suggesting that the E. ciliata extract is a safe natural product with a well-defined therapeutic and protective index (found to be 90 and 54, respectively) in Balb/c mice.
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Affiliation(s)
- Regina Mačianskienė
- Institute of Cardiology, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (V.Z.); (I.A.); (D.P.); (R.T.); (A.N.); (J.J.)
| | - Vilma Zigmantaitė
- Institute of Cardiology, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (V.Z.); (I.A.); (D.P.); (R.T.); (A.N.); (J.J.)
| | - Inga Andriulė
- Institute of Cardiology, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (V.Z.); (I.A.); (D.P.); (R.T.); (A.N.); (J.J.)
| | - Dalia Pangonytė
- Institute of Cardiology, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (V.Z.); (I.A.); (D.P.); (R.T.); (A.N.); (J.J.)
| | - Ilona Sadauskienė
- Institute of Neuroscience, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (I.S.); (O.A.)
| | - Odeta Arandarčikaitė
- Institute of Neuroscience, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (I.S.); (O.A.)
| | - Arūnas Stankevičius
- Department of Anatomy and Physiology, Veterinary Faculty, Lithuanian University of Health Sciences, LT-47181 Kaunas, Lithuania; (A.S.); (J.G.); (A.P.)
| | - Juozas Grigas
- Department of Anatomy and Physiology, Veterinary Faculty, Lithuanian University of Health Sciences, LT-47181 Kaunas, Lithuania; (A.S.); (J.G.); (A.P.)
| | - Arnoldas Pautienius
- Department of Anatomy and Physiology, Veterinary Faculty, Lithuanian University of Health Sciences, LT-47181 Kaunas, Lithuania; (A.S.); (J.G.); (A.P.)
| | - Rimantas Treinys
- Institute of Cardiology, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (V.Z.); (I.A.); (D.P.); (R.T.); (A.N.); (J.J.)
| | - Antanas Navalinskas
- Institute of Cardiology, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (V.Z.); (I.A.); (D.P.); (R.T.); (A.N.); (J.J.)
| | - Ramunė Grigalevičiūtė
- Biological Research Center, Lithuanian University of Health Sciences, LT-47181 Kaunas, Lithuania; (R.G.); (A.K.)
| | - Audrius Kučinskas
- Biological Research Center, Lithuanian University of Health Sciences, LT-47181 Kaunas, Lithuania; (R.G.); (A.K.)
| | - Lauryna Pudžiuvelytė
- Institute of Pharmaceutical Technologies, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (L.P.); (J.B.)
- Department of Drug Technology and Social Pharmacy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania
| | - Jurga Bernatonienė
- Institute of Pharmaceutical Technologies, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (L.P.); (J.B.)
- Department of Drug Technology and Social Pharmacy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania
| | - Jonas Jurevičius
- Institute of Cardiology, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (V.Z.); (I.A.); (D.P.); (R.T.); (A.N.); (J.J.)
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8
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Ball RL, Bogue MA, Liang H, Srivastava A, Ashbrook DG, Lamoureux A, Gerring MW, Hatoum AS, Kim M, He H, Emerson J, Berger AK, Walton DO, Sheppard K, Kassaby BE, Castellanos F, Kunde-Ramamoorthy G, Lu L, Bluis J, Desai S, Sundberg BA, Peltz G, Fang Z, Churchill GA, Williams RW, Agrawal A, Bult CJ, Philip VM, Chesler EJ. GenomeMUSter mouse genetic variation service enables multi-trait, multi-population data integration and analyses. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.08.552506. [PMID: 37609331 PMCID: PMC10441370 DOI: 10.1101/2023.08.08.552506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Hundreds of inbred laboratory mouse strains and intercross populations have been used to functionalize genetic variants that contribute to disease. Thousands of disease relevant traits have been characterized in mice and made publicly available. New strains and populations including the Collaborative Cross, expanded BXD and inbred wild-derived strains add to set of complex disease mouse models, genetic mapping resources and sensitized backgrounds against which to evaluate engineered mutations. The genome sequences of many inbred strains, along with dense genotypes from others could allow integrated analysis of trait - variant associations across populations, but these analyses are not feasible due to the sparsity of genotypes available. Moreover, the data are not readily interoperable with other resources. To address these limitations, we created a uniformly dense data resource by harmonizing multiple variant datasets. Missing genotypes were imputed using the Viterbi algorithm with a data-driven technique that incorporates local phylogenetic information, an approach that is extensible to other model organism species. The result is a web- and programmatically-accessible data service called GenomeMUSter ( https://muster.jax.org ), comprising allelic data covering 657 strains at 106.8M segregating sites. Interoperation with phenotype databases, analytic tools and other resources enable a wealth of applications including multi-trait, multi-population meta-analysis. We demonstrate this in a cross-species comparison of the meta-analysis of Type 2 Diabetes and of substance use disorders, resulting in the more specific characterization of the role of human variant effects in light of mouse phenotype data. Other applications include refinement of mapped loci and prioritization of strain backgrounds for disease modeling to further unlock extant mouse diversity for genetic and genomic studies in health and disease.
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9
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List EO, Berryman DE, Slyby J, Duran-Ortiz S, Funk K, Bisset ES, Howlett SE, Kopchick JJ. Disruption of Growth Hormone Receptor in Adipocytes Improves Insulin Sensitivity and Lifespan in Mice. Endocrinology 2022; 163:bqac129. [PMID: 35952979 PMCID: PMC9467438 DOI: 10.1210/endocr/bqac129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Indexed: 11/19/2022]
Abstract
Growth hormone receptor knockout (GHRKO) mice have been used for 25 years to uncover some of the many actions of growth hormone (GH). Since they are extremely long-lived with enhanced insulin sensitivity and protected from multiple age-related diseases, they are often used to study healthy aging. To determine the effect that adipose tissue has on the GHRKO phenotype, our laboratory recently created and characterized adipocyte-specific GHRKO (AdGHRKO) mice, which have increased adiposity but appear healthy with enhanced insulin sensitivity. To test the hypothesis that removal of GH action in adipocytes might partially replicate the increased lifespan and healthspan observed in global GHRKO mice, we assessed adiposity, cytokines/adipokines, glucose homeostasis, frailty, and lifespan in aging AdGHRKO mice of both sexes. Our results show that disrupting the GH receptor gene in adipocytes improved insulin sensitivity at advanced age and increased lifespan in male AdGHRKO mice. AdGHRKO mice also exhibited increased fat mass, reduced circulating levels of insulin, c-peptide, adiponectin, resistin, and improved frailty scores with increased grip strength at advanced ages. Comparison of published mean lifespan data from GHRKO mice to that from AdGHRKO and muscle-specific GHRKO mice suggests that approximately 23% of lifespan extension in male GHRKO is due to GHR disruption in adipocytes vs approximately 19% in muscle. Females benefited less from GHR disruption in these 2 tissues with approximately 19% and approximately 0%, respectively. These data indicate that removal of GH's action, even in a single tissue, is sufficient for observable health benefits that promote long-term health, reduce frailty, and increase longevity.
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Affiliation(s)
- Edward O List
- Edison Biotechnology Institute, Ohio University, Athens, Ohio 45701, USA
- Department of Specialty Medicine, Heritage College of Osteopathic Medicine, Athens, Ohio 45701, USA
| | - Darlene E Berryman
- Edison Biotechnology Institute, Ohio University, Athens, Ohio 45701, USA
- Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Athens, Ohio 45701, USA
| | - Julie Slyby
- Edison Biotechnology Institute, Ohio University, Athens, Ohio 45701, USA
| | | | - Kevin Funk
- Edison Biotechnology Institute, Ohio University, Athens, Ohio 45701, USA
| | - Elise S Bisset
- Department of Pharmacology Dalhousie University Halifax, Halifax , Nova Scotia , Canada
| | - Susan E Howlett
- Department of Pharmacology Dalhousie University Halifax, Halifax , Nova Scotia , Canada
- Department of Medicine (Geriatric Medicine), Dalhousie University Halifax, Halifax , Nova Scotia , Canada
| | - John J Kopchick
- Edison Biotechnology Institute, Ohio University, Athens, Ohio 45701, USA
- Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Athens, Ohio 45701, USA
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10
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Sargent JK, Warner MA, Low BE, Schott WH, Hoffert T, Coleman D, Woo XY, Sheridan T, Erattupuzha S, Henrich PP, Philip VM, Chuang JH, Wiles MV, Hasham MG. Genetically diverse mouse platform to xenograft cancer cells. Dis Model Mech 2022; 15:276456. [PMID: 36037073 PMCID: PMC9459392 DOI: 10.1242/dmm.049457] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 07/04/2022] [Indexed: 12/23/2022] Open
Abstract
The lack of genetically diverse preclinical animal models in basic biology and efficacy testing has been cited as a potential cause of failure in clinical trials. We developed and characterized five diverse RAG1 null mouse strains as models that allow xenografts to grow. In these strains, we characterized the growth of breast cancer, leukemia and glioma cell lines. We found a wide range of growth characteristics that were far more dependent on strain than tumor type. For the breast cancer cell line, we characterized the spectrum of xenograft/tumor growth at structural, histological, cellular and molecular levels across each strain, and found that each strain captures unique structural components of the stroma. Furthermore, we showed that the increase in tumor-infiltrating myeloid CD45+ cells and the amount of circulating cytokine IL-6 and chemokine KC (also known as CXCL1) is associated with a higher tumor size in different strains. This resource is available to study established human xenografts, as well as difficult-to-xenograft tumors and growth of hematopoietic stems cells, and to decipher the role of myeloid cells in the development of spontaneous cancers.
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Affiliation(s)
- Jennifer K Sargent
- The Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Mark A Warner
- The Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Benjamin E Low
- The Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA
| | - William H Schott
- The Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Todd Hoffert
- The Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA
| | - David Coleman
- The Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Xing Yi Woo
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032, USA
| | - Todd Sheridan
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032, USA.,Hartford Hospital, Department of Pathology, 80 Seymour Street, Hartford, CT 06102, USA
| | - Sonia Erattupuzha
- The Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Philipp P Henrich
- The Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Vivek M Philip
- The Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Jeffrey H Chuang
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032, USA
| | - Michael V Wiles
- The Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Muneer G Hasham
- The Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA
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11
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Bau-Gaudreault L, Arndt T, Provencher A, Brayton CF. Research-Relevant Clinical Pathology Resources: Emphasis on Mice, Rats, Rabbits, Dogs, Minipigs, and Non-Human Primates. ILAR J 2021; 62:203-222. [PMID: 34877602 DOI: 10.1093/ilar/ilab028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 08/16/2021] [Accepted: 09/07/2021] [Indexed: 12/15/2022] Open
Abstract
Clinical pathology testing for investigative or biomedical research and for preclinical toxicity and safety assessment in laboratory animals is a distinct specialty requiring an understanding of species specific and other influential variables on results and interpretation. This review of clinical pathology principles and testing recommendations in laboratory animal species aims to provide a useful resource for researchers, veterinary specialists, toxicologists, and clinical or anatomic pathologists.
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Affiliation(s)
- Liza Bau-Gaudreault
- Clinical Laboratories, Charles River Laboratories - ULC, Senneville, Quebec, Canada
| | - Tara Arndt
- Labcorp Drug Development, Madison, Wisconsin, United States
| | - Anne Provencher
- Clinical Laboratories, Charles River Laboratories - ULC, Sherbrooke, Quebec, Canada
| | - Cory F Brayton
- Molecular and Comparative Pathobiology, John Hopkins University, School of Medicine, Baltimore, Maryland, USA
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12
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Iglesias-Carres L, Neilson AP. Utilizing preclinical models of genetic diversity to improve translation of phytochemical activities from rodents to humans and inform personalized nutrition. Food Funct 2021; 12:11077-11105. [PMID: 34672309 DOI: 10.1039/d1fo02782d] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Mouse models are an essential tool in different areas of research, including nutrition and phytochemical research. Traditional inbred mouse models have allowed the discovery of therapeutical targets and mechanisms of action and expanded our knowledge of health and disease. However, these models lack the genetic variability typically found in human populations, which hinders the translatability of the results found in mice to humans. The development of genetically diverse mouse models, such as the collaborative cross (CC) or the diversity outbred (DO) models, has been a useful tool to overcome this obstacle in many fields, such as cancer, immunology and toxicology. However, these tools have not yet been widely adopted in the field of phytochemical research. As demonstrated in other disciplines, use of CC and DO models has the potential to provide invaluable insights for translation of phytochemicals from rodents to humans, which are desperately needed given the challenges and numerous failed clinical trials in this field. These models may prove informative for personalized use of phytochemicals in humans, including: predicting interindividual variability in phytochemical bioavailability and efficacy, identifying genetic loci or genes governing response to phytochemicals, identifying phytochemical mechanisms of action and therapeutic targets, and understanding the impact of genetic variability on individual response to phytochemicals. Such insights would prove invaluable for personalized implementation of phytochemicals in humans. This review will focus on the current work performed with genetically diverse mouse populations, and the research opportunities and advantages that these models can offer to phytochemical research.
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Affiliation(s)
- Lisard Iglesias-Carres
- Plants for Human Health Institute, Department of Food, Bioprocessing and Nutrition Sciences, North Carolina State University, Kannapolis, NC, USA.
| | - Andrew P Neilson
- Plants for Human Health Institute, Department of Food, Bioprocessing and Nutrition Sciences, North Carolina State University, Kannapolis, NC, USA.
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13
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Roles of Nicotinamide N-Methyltransferase in Obesity and Type 2 Diabetes. BIOMED RESEARCH INTERNATIONAL 2021; 2021:9924314. [PMID: 34368359 PMCID: PMC8337113 DOI: 10.1155/2021/9924314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 07/20/2021] [Indexed: 11/28/2022]
Abstract
Type 2 diabetes (T2D) is thought to be a complication of metabolic syndrome caused by disorders of energy utilization and storage and characterized by insulin resistance or deficiency of insulin secretion. Though the mechanism linking obesity to the development of T2D is complex and unintelligible, it is known that abnormal lipid metabolism and adipose tissue accumulation possibly play important roles in this process. Recently, nicotinamide N-methyltransferase (NNMT) has been emerging as a new mechanism-of-action target in treating obesity and associated T2D. Evidence has shown that NNMT is associated with obesity and T2D. NNMT inhibition or NNMT knockdown significantly increases energy expenditure, reduces body weight and white adipose mass, improves insulin sensitivity, and normalizes glucose tolerance and fasting blood glucose levels. Additionally, trials of oligonucleotide therapeutics and experiments with some small-molecule NNMT inhibitors in vitro and in preclinical animal models have validated NNMT as a promising therapeutic target to prevent or treat obesity and associated T2D. However, the exact mechanisms underlying these phenomena are not yet fully understood and clinical trials targeting NNMT have not been reported until now. Therefore, more researches are necessary to reveal the acting mechanism of NNMT in obesity and T2D and to develop therapeutics targeting NNMT.
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14
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Cadney MD, Hiramatsu L, Thompson Z, Zhao M, Kay JC, Singleton JM, Albuquerque RLD, Schmill MP, Saltzman W, Garland T. Effects of early-life exposure to Western diet and voluntary exercise on adult activity levels, exercise physiology, and associated traits in selectively bred High Runner mice. Physiol Behav 2021; 234:113389. [PMID: 33741375 PMCID: PMC8106885 DOI: 10.1016/j.physbeh.2021.113389] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 03/02/2021] [Accepted: 03/13/2021] [Indexed: 01/08/2023]
Abstract
Exercise behavior is under partial genetic control, but it is also affected by numerous environmental factors, potentially including early-life experiences whose effects persist into adulthood. We studied genetic and early-life environmental effects on wheel-running behavior in a mouse model that includes four replicate high runner (HR) lines selectively bred for increased voluntary wheel running as young adults and four non-selected control (C) lines. In a full factorial design, mice from each line were granted wheel access or not and administered either standard or Western diet (WD) from weaning (3 weeks old) to 6 weeks of age (sexual maturity). In addition to acute effects, after a washout period of 8 weeks (∼6 human years) in which all mice had standard diet and no wheel access, we found both beneficial and detrimental effects of these early-life exposures. During the first week of treatments, WD increased distance run by 29% in C mice and 48% in HR mice (significant Diet × Linetype interaction), but diet effects disappeared by the third week. Across the three weeks of juvenile treatment, WD significantly increased fat mass (with lean mass as a covariate). Tested as adults, early-life exercise increased wheel running of C mice but not HR mice in the first week. Early-life exercise also reduced adult anxiety-like behavior and increased adult fasted blood glucose levels, triceps surae mass, subdermal fat pad mass, and brain mass, but decreased heart ventricle mass. Using fat mass as a covariate, early-life exercise treatment increased adult leptin concentration. In contrast, early-life WD increased adult wheel running of HR mice but not C mice. Early-life WD also increased adult lean mass and adult preference for Western diet in all groups. Surprisingly, early-life treatment had no significant effect on adult body fat or maximal aerobic capacity (VO2max). No previous study has tested for combined or interactive effects of early-life WD and exercise. Our results demonstrate that both factors can have long-lasting effects on adult voluntary exercise and related phenotypes, and that these effects are modulated by genetic background. Overall, the long-lasting effects of early-life exercise were more pervasive than those of WD, suggesting critical opportunities for health intervention in childhood habits, as well as possible threats from modern challenges. These results may be relevant for understanding potential effects of activity reductions and dietary changes associated with the obesity epidemic and COVID-19 pandemic.
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Affiliation(s)
- Marcell D Cadney
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, CA 92521, USA
| | - Layla Hiramatsu
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, CA 92521, USA
| | - Zoe Thompson
- Neuroscience Graduate Program, University of California, Riverside, CA 92521, USA
| | - Meng Zhao
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, CA 92521, USA
| | - Jarren C Kay
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, CA 92521, USA
| | - Jennifer M Singleton
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, CA 92521, USA
| | | | - Margaret P Schmill
- Neuroscience Graduate Program, University of California, Riverside, CA 92521, USA
| | - Wendy Saltzman
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, CA 92521, USA
| | - Theodore Garland
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, CA 92521, USA.
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15
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Integration of machine learning and genome-scale metabolic modeling identifies multi-omics biomarkers for radiation resistance. Nat Commun 2021; 12:2700. [PMID: 33976213 PMCID: PMC8113601 DOI: 10.1038/s41467-021-22989-1] [Citation(s) in RCA: 80] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 04/09/2021] [Indexed: 02/07/2023] Open
Abstract
Resistance to ionizing radiation, a first-line therapy for many cancers, is a major clinical challenge. Personalized prediction of tumor radiosensitivity is not currently implemented clinically due to insufficient accuracy of existing machine learning classifiers. Despite the acknowledged role of tumor metabolism in radiation response, metabolomics data is rarely collected in large multi-omics initiatives such as The Cancer Genome Atlas (TCGA) and consequently omitted from algorithm development. In this study, we circumvent the paucity of personalized metabolomics information by characterizing 915 TCGA patient tumors with genome-scale metabolic Flux Balance Analysis models generated from transcriptomic and genomic datasets. Metabolic biomarkers differentiating radiation-sensitive and -resistant tumors are predicted and experimentally validated, enabling integration of metabolic features with other multi-omics datasets into ensemble-based machine learning classifiers for radiation response. These multi-omics classifiers show improved classification accuracy, identify clinical patient subgroups, and demonstrate the utility of personalized blood-based metabolic biomarkers for radiation sensitivity. The integration of machine learning with genome-scale metabolic modeling represents a significant methodological advancement for identifying prognostic metabolite biomarkers and predicting radiosensitivity for individual patients.
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16
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Kim SK, Avila JJ, Massett MP. Interaction of genetic background and exercise training intensity on endothelial function in mouse aorta. THE KOREAN JOURNAL OF PHYSIOLOGY & PHARMACOLOGY : OFFICIAL JOURNAL OF THE KOREAN PHYSIOLOGICAL SOCIETY AND THE KOREAN SOCIETY OF PHARMACOLOGY 2020; 24:53-68. [PMID: 31908575 PMCID: PMC6940500 DOI: 10.4196/kjpp.2020.24.1.53] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 10/18/2019] [Accepted: 11/07/2019] [Indexed: 01/22/2023]
Abstract
The purpose of this study was to characterize the genetic contribution to endothelial adaptation to exercise training. Vasoreactivity was assessed in aortas from four inbred mouse strains (129S1, B6, NON, and SJL) after 4 weeks of moderate intensity continuous exercise training (MOD), high intensity interval training (HIT) or in sedentary controls (SED). Intrinsic variations in endothelium-dependent vasorelaxation (EDR) to acetylcholine (ACh) as well as vasocontractile responses were observed across SED groups. For responses to exercise training, there was a significant interaction between mouse strain and training intensity on EDR. Exercise training had no effect on EDR in aortas from 129S1 and B6 mice. In NON, EDR was improved in aortas from MOD and HIT compared with respective SED, accompanied by diminished responses to PE in those groups. Interestingly, EDR was impaired in aorta from SJL HIT compared with SED. The transcriptional activation of endothelial genes was also influenced by the interaction between mouse strain and training intensity. The number of genes altered by HIT was greater than MOD, and there was little overlap between genes altered by HIT and MOD. HIT was associated with gene pathways for inflammatory responses. NON MOD genes showed enrichment for vessel growth pathways. These findings indicate that exercise training has non-uniform effects on endothelial function and transcriptional activation of endothelial genes depending on the interaction between genetic background and training intensity.
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Affiliation(s)
- Seung Kyum Kim
- Department of Sports Science, Seoul National University of Science and Technology, Seoul 01811, Korea
| | - Joshua J Avila
- Department of Health and Kinesiology, Texas A&M University, College Station, TX, USA
| | - Michael P Massett
- Department of Health and Kinesiology, Texas A&M University, College Station, TX, USA
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17
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Melia T, Waxman DJ. Genetic factors contributing to extensive variability of sex-specific hepatic gene expression in Diversity Outbred mice. PLoS One 2020; 15:e0242665. [PMID: 33264334 PMCID: PMC7710091 DOI: 10.1371/journal.pone.0242665] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Accepted: 11/09/2020] [Indexed: 12/12/2022] Open
Abstract
Sex-specific transcription characterizes hundreds of genes in mouse liver, many implicated in sex-differential drug and lipid metabolism and disease susceptibility. While the regulation of liver sex differences by growth hormone-activated STAT5 is well established, little is known about autosomal genetic factors regulating the sex-specific liver transcriptome. Here we show, using genotyping and expression data from a large population of Diversity Outbred mice, that genetic factors work in tandem with growth hormone to control the individual variability of hundreds of sex-biased genes, including many long non-coding RNA genes. Significant associations between single nucleotide polymorphisms and sex-specific gene expression were identified as expression quantitative trait loci (eQTLs), many of which showed strong sex-dependent associations. Remarkably, autosomal genetic modifiers of sex-specific genes were found to account for more than 200 instances of gain or loss of sex-specificity across eight Diversity Outbred mouse founder strains. Sex-biased STAT5 binding sites and open chromatin regions with strain-specific variants were significantly enriched at eQTL regions regulating correspondingly sex-specific genes, supporting the proposed functional regulatory nature of the eQTL regions identified. Binding of the male-biased, growth hormone-regulated repressor BCL6 was most highly enriched at trans-eQTL regions controlling female-specific genes. Co-regulated gene clusters defined by overlapping eQTLs included sets of highly correlated genes from different chromosomes, further supporting trans-eQTL action. These findings elucidate how an unexpectedly large number of autosomal factors work in tandem with growth hormone signaling pathways to regulate the individual variability associated with sex differences in liver metabolism and disease.
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Affiliation(s)
- Tisha Melia
- Department of Biology and Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America
| | - David J. Waxman
- Department of Biology and Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America
- * E-mail:
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18
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Preguiça I, Alves A, Nunes S, Fernandes R, Gomes P, Viana SD, Reis F. Diet-induced rodent models of obesity-related metabolic disorders-A guide to a translational perspective. Obes Rev 2020; 21:e13081. [PMID: 32691524 DOI: 10.1111/obr.13081] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 05/12/2020] [Accepted: 05/28/2020] [Indexed: 12/12/2022]
Abstract
Diet is a critical element determining human health and diseases, and unbalanced food habits are major risk factors for the development of obesity and related metabolic disorders. Despite technological and pharmacological advances, as well as intensification of awareness campaigns, the prevalence of metabolic disorders worldwide is still increasing. Thus, novel therapeutic approaches with increased efficacy are urgently required, which often depends on cellular and molecular investigations using robust animal models. In the absence of perfect rodent models, those induced by excessive consumption of fat and sugars better replicate the key aspects that are the root causes of human metabolic diseases. However, the results obtained using these models cannot be directly compared, particularly because of the use of different dietary protocols, and animal species and strains, among other confounding factors. This review article revisits diet-induced models of obesity and related metabolic disorders, namely, metabolic syndrome, prediabetes, diabetes and nonalcoholic fatty liver disease. A critical analysis focused on the main pathophysiological features of rodent models, as opposed to the criteria defined for humans, is provided as a practical guide with a translational perspective for the establishment of animal models of obesity-related metabolic diseases.
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Affiliation(s)
- Inês Preguiça
- Institute of Pharmacology and Experimental Therapeutics, and Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.,Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal.,Clinical Academic Center of Coimbra (CACC), University of Coimbra, Coimbra, Portugal
| | - André Alves
- Institute of Pharmacology and Experimental Therapeutics, and Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.,Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal.,Clinical Academic Center of Coimbra (CACC), University of Coimbra, Coimbra, Portugal
| | - Sara Nunes
- Institute of Pharmacology and Experimental Therapeutics, and Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.,Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal.,Clinical Academic Center of Coimbra (CACC), University of Coimbra, Coimbra, Portugal
| | - Rosa Fernandes
- Institute of Pharmacology and Experimental Therapeutics, and Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.,Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal.,Clinical Academic Center of Coimbra (CACC), University of Coimbra, Coimbra, Portugal
| | - Pedro Gomes
- Institute of Pharmacology and Experimental Therapeutics, and Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.,Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal.,Clinical Academic Center of Coimbra (CACC), University of Coimbra, Coimbra, Portugal.,Department of Biomedicine, Faculty of Medicine, University of Porto, Porto, Portugal.,Center for Health Technology and Services Research (CINTESIS), University of Porto, Porto, Portugal
| | - Sofia D Viana
- Institute of Pharmacology and Experimental Therapeutics, and Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.,Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal.,Clinical Academic Center of Coimbra (CACC), University of Coimbra, Coimbra, Portugal.,ESTESC-Coimbra Health School, Pharmacy, Polytechnic Institute of Coimbra, Coimbra, Portugal
| | - Flávio Reis
- Institute of Pharmacology and Experimental Therapeutics, and Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.,Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal.,Clinical Academic Center of Coimbra (CACC), University of Coimbra, Coimbra, Portugal
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19
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Schmill MP, Cadney MD, Thompson Z, Hiramatsu L, Albuquerque RL, McNamara MP, Castro AA, Kay JC, Buenaventura DG, Ramirez JL, Rhodes JS, Garland T. Conditioned place preference for cocaine and methylphenidate in female mice from lines selectively bred for high voluntary wheel-running behavior. GENES BRAIN AND BEHAVIOR 2020; 20:e12700. [PMID: 32909333 DOI: 10.1111/gbb.12700] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 09/06/2020] [Accepted: 09/07/2020] [Indexed: 12/27/2022]
Abstract
Behavioral addictions can come in many forms, including overeating, gambling and overexercising. All addictions share a common mechanism involving activation of the natural reward circuit and reinforcement learning, but the extent to which motivation for natural and drug rewards share similar neurogenetic mechanisms remains unknown. A unique mouse genetic model in which four replicate lines of female mice were selectively bred (>76 generations) for high voluntary wheel running (High Runner or HR lines) alongside four non-selected control (C) lines were used to test the hypothesis that high motivation for exercise is associated with greater reward for cocaine (20 mg/kg) and methylphenidate (10 mg/kg) using the conditioned place preference (CPP) test. HR mice run ~three times as many revolutions/day as C mice, but the extent to which they have increased motivation for other rewards is unknown. Both HR and C mice displayed significant CPP for cocaine and methylphenidate, but with no statistical difference between linetypes for either drug. Taken together, results suggest that selective breeding for increased voluntary running has modified the reward circuit in the brain in a way that increases motivation for running without affecting cocaine or methylphenidate reward.
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Affiliation(s)
- Margaret P Schmill
- Neuroscience Graduate Program, University of California, Riverside, California, USA
| | - Marcell D Cadney
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, California, USA
| | - Zoe Thompson
- Neuroscience Graduate Program, University of California, Riverside, California, USA
| | - Layla Hiramatsu
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, California, USA
| | - Ralph L Albuquerque
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, California, USA
| | - Monica P McNamara
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, California, USA
| | - Alberto A Castro
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, California, USA
| | - Jarren C Kay
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, California, USA
| | - Darrius G Buenaventura
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, California, USA
| | - Jocelyn L Ramirez
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, California, USA
| | - Justin S Rhodes
- Beckman Institute for Advanced Science and Technology, Urbana, Illinois, USA.,Center for Nutrition, Learning and Memory, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Theodore Garland
- Neuroscience Graduate Program, University of California, Riverside, California, USA.,Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, California, USA
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20
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Kollmus H, Fuchs H, Lengger C, Haselimashhadi H, Bogue MA, Östereicher MA, Horsch M, Adler T, Aguilar-Pimentel JA, Amarie OV, Becker L, Beckers J, Calzada-Wack J, Garrett L, Hans W, Hölter SM, Klein-Rodewald T, Maier H, Mayer-Kuckuk P, Miller G, Moreth K, Neff F, Rathkolb B, Rácz I, Rozman J, Spielmann N, Treise I, Busch D, Graw J, Klopstock T, Wolf E, Wurst W, Yildirim AÖ, Mason J, Torres A, Balling R, Mehaan T, Gailus-Durner V, Schughart K, Hrabě de Angelis M. A comprehensive and comparative phenotypic analysis of the collaborative founder strains identifies new and known phenotypes. Mamm Genome 2020; 31:30-48. [PMID: 32060626 PMCID: PMC7060152 DOI: 10.1007/s00335-020-09827-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 01/31/2020] [Indexed: 01/21/2023]
Abstract
The collaborative cross (CC) is a large panel of mouse-inbred lines derived from eight founder strains (NOD/ShiLtJ, NZO/HILtJ, A/J, C57BL/6J, 129S1/SvImJ, CAST/EiJ, PWK/PhJ, and WSB/EiJ). Here, we performed a comprehensive and comparative phenotyping screening to identify phenotypic differences and similarities between the eight founder strains. In total, more than 300 parameters including allergy, behavior, cardiovascular, clinical blood chemistry, dysmorphology, bone and cartilage, energy metabolism, eye and vision, immunology, lung function, neurology, nociception, and pathology were analyzed; in most traits from sixteen females and sixteen males. We identified over 270 parameters that were significantly different between strains. This study highlights the value of the founder and CC strains for phenotype-genotype associations of many genetic traits that are highly relevant to human diseases. All data described here are publicly available from the mouse phenome database for analyses and downloads.
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Affiliation(s)
- Heike Kollmus
- Department of Infection Genetics, Helmholtz Centre for Infection Research, Inhoffenstr.7, 38124, Braunschweig, Germany
| | - Helmut Fuchs
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Christoph Lengger
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Hamed Haselimashhadi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | | | - Manuela A Östereicher
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Marion Horsch
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Thure Adler
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Juan Antonio Aguilar-Pimentel
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Oana Veronica Amarie
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Lore Becker
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Johannes Beckers
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
- Chair of Experimental Genetics, School of Life Science Weihenstephan, Technische Universität München, Alte Akademie 8, 85354, Freising, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Julia Calzada-Wack
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Lillian Garrett
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Wolfgang Hans
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Sabine M Hölter
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Tanja Klein-Rodewald
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Holger Maier
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Philipp Mayer-Kuckuk
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Gregor Miller
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Kristin Moreth
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Frauke Neff
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Birgit Rathkolb
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-University München, Feodor-Lynen Str. 25, 81377, Munich, Germany
| | - Ildikó Rácz
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
- Clinic of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn Medical Center, Bonn, Germany
| | - Jan Rozman
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Nadine Spielmann
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Irina Treise
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Dirk Busch
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
- Institute for Medical Microbiology, Immunology and Hygiene, Technische Universität München, Trogerstrasse 30, 81675, Munich, Germany
| | - Jochen Graw
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Thomas Klopstock
- Department of Neurology, Friedrich-Baur-Institute, Klinikum Der Ludwig-Maximilians-Universität München, Ziemssenstr. 1a, 80336, Munich, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Site Munich, Feodor-Lynen-Str. 17, 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Adolf-Butenandt-Institut, Ludwig-Maximilians-Universität München, Feodor-Lynen-Str. 17, 81377, Munich, Germany
| | - Eckhard Wolf
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-University München, Feodor-Lynen Str. 25, 81377, Munich, Germany
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Site Munich, Feodor-Lynen-Str. 17, 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Adolf-Butenandt-Institut, Ludwig-Maximilians-Universität München, Feodor-Lynen-Str. 17, 81377, Munich, Germany
- Chair of Developmental Genetics, Technische Universität München-Weihenstephan, C/O Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Ali Önder Yildirim
- Institute of Lung Biology and Disease, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
- German Center for Lung Research, Marburg, Germany
| | - Jeremy Mason
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Arturo Torres
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Luxembourg, Luxembourg
| | - Terry Mehaan
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Valerie Gailus-Durner
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Klaus Schughart
- Department of Infection Genetics, Helmholtz Centre for Infection Research, Inhoffenstr.7, 38124, Braunschweig, Germany.
- University of Veterinary Medicine Hannover, Hanover, Germany.
- University of Tennessee Health Science Center, Memphis, TN, USA.
| | - Martin Hrabě de Angelis
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
- Chair of Experimental Genetics, School of Life Science Weihenstephan, Technische Universität München, Alte Akademie 8, 85354, Freising, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
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21
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Sorkin BC, Kuszak AJ, Bloss G, Fukagawa NK, Hoffman FA, Jafari M, Barrett B, Brown PN, Bushman FD, Casper S, Chilton FH, Coffey CS, Ferruzzi MG, Hopp DC, Kiely M, Lakens D, MacMillan JB, Meltzer DO, Pahor M, Paul J, Pritchett-Corning K, Quinney SK, Rehermann B, Setchell KD, Sipes NS, Stephens JM, Taylor DL, Tiriac H, Walters MA, Xi D, Zappalá G, Pauli GF. Improving natural product research translation: From source to clinical trial. FASEB J 2020; 34:41-65. [PMID: 31914647 PMCID: PMC7470648 DOI: 10.1096/fj.201902143r] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 10/12/2019] [Accepted: 10/21/2019] [Indexed: 12/28/2022]
Abstract
While great interest in health effects of natural product (NP) including dietary supplements and foods persists, promising preclinical NP research is not consistently translating into actionable clinical trial (CT) outcomes. Generally considered the gold standard for assessing safety and efficacy, CTs, especially phase III CTs, are costly and require rigorous planning to optimize the value of the information obtained. More effective bridging from NP research to CT was the goal of a September, 2018 transdisciplinary workshop. Participants emphasized that replicability and likelihood of successful translation depend on rigor in experimental design, interpretation, and reporting across the continuum of NP research. Discussions spanned good practices for NP characterization and quality control; use and interpretation of models (computational through in vivo) with strong clinical predictive validity; controls for experimental artefacts, especially for in vitro interrogation of bioactivity and mechanisms of action; rigorous assessment and interpretation of prior research; transparency in all reporting; and prioritization of research questions. Natural product clinical trials prioritized based on rigorous, convergent supporting data and current public health needs are most likely to be informative and ultimately affect public health. Thoughtful, coordinated implementation of these practices should enhance the knowledge gained from future NP research.
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Affiliation(s)
- Barbara C. Sorkin
- Office of Dietary Supplements, National Institutes of Health (NIH), Bethesda, MD, US
| | - Adam J. Kuszak
- Office of Dietary Supplements, National Institutes of Health (NIH), Bethesda, MD, US
| | - Gregory Bloss
- National Institute on Alcohol Abuse and Alcoholism, NIH, Bethesda, MD, US
| | | | | | | | | | - Paula N. Brown
- British Columbia Institute of Technology, Burnaby, British Columbia, Canada
| | | | - Steven Casper
- Office of Dietary Supplement Programs, Center for Food Safety and Applied Nutrition, Food and Drug Administration (FDA), Hyattsville, MD, US
| | - Floyd H. Chilton
- Department of Nutritional Sciences and the BIO5 Institute, University of Arizona, Tucson, AZ, US
| | | | - Mario G. Ferruzzi
- Plants for Human Health Institute, North Carolina State University, Kannapolis, NC, US
| | - D. Craig Hopp
- National Center for Complementary and Integrative Health, NIH, Bethesda, MD, US
| | - Mairead Kiely
- Cork Centre for Vitamin D and Nutrition Research, School of Food and Nutritional Sciences, University College Cork, Ireland
| | - Daniel Lakens
- Eindhoven University of Technology, Eindhoven, Netherlands
| | | | | | | | - Jeffrey Paul
- Drexel Graduate College of Biomedical Sciences, College of Medicine, Evanston, IL, US
| | | | | | - Barbara Rehermann
- National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, US
| | | | - Nisha S. Sipes
- National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, US
| | | | | | - Hervé Tiriac
- University of California, San Diego, La Jolla, CA, US]
| | - Michael A. Walters
- Institute for Therapeutics Discovery and Development, University of Minnesota, Minneapolis, MN, US
| | - Dan Xi
- Office of Cancer Complementary and Alternative Medicine, National Cancer Institute, NIH, Shady Grove, MD, US
| | | | - Guido F. Pauli
- CENAPT and PCRPS, University of Illinois at Chicago College of Pharmacy, Chicago, IL, US
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22
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Perry GML. 'Fat's chances': Loci for phenotypic dispersion in plasma leptin in mouse models of diabetes mellitus. PLoS One 2019; 14:e0222654. [PMID: 31661517 PMCID: PMC6818960 DOI: 10.1371/journal.pone.0222654] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 09/04/2019] [Indexed: 01/29/2023] Open
Abstract
Background Leptin, a critical mediator of feeding, metabolism and diabetes, is expressed on an incidental basis according to satiety. The genetic regulation of leptin should similarly be episodic. Methodology Data from three mouse cohorts hosted by the Jackson Laboratory– 402 (174F, 228M) F2 Dilute Brown non-Agouti (DBA/2)×DU6i intercrosses, 142 Non Obese Diabetic (NOD/ShiLtJ×(NOD/ShiLtJ×129S1/SvImJ.H2g7) N2 backcross females, and 204 male Nonobese Nondiabetic (NON)×New Zealand Obese (NZO/HlLtJ) reciprocal backcrosses–were used to test for loci associated with absolute residuals in plasma leptin and arcsin-transformed percent fat (‘phenotypic dispersion’; PDpLep and PDAFP). Individual data from 1,780 mice from 43 inbred strains was also used to estimate genetic variances and covariances for dispersion in each trait. Principal findings Several loci for PDpLep were detected, including possibly syntenic Chr 17 loci, but there was only a single position on Chr 6 for PDAFP. Coding SNP in genes linked to the consensus Chr 17 PDpLep locus occurred in immunological and cancer genes, genes linked to diabetes and energy regulation, post-transcriptional processors and vomeronasal variants. There was evidence of intersexual differences in the genetic architecture of PDpLep. PDpLep had moderate heritability (hs2=0.29) and PDAFP low heritability (hs2=0.12); dispersion in these traits was highly genetically correlated r = 0.8). Conclusions Greater genetic variance for dispersion in plasma leptin, a physiological trait, may reflect its more ephemeral nature compared to body fat, an accrued progressive character. Genetic effects on incidental phenotypes such as leptin might be effectively characterized with randomization-detection methodologies in addition to classical approaches, helping identify incipient or borderline cases or providing new therapeutic targets.
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Affiliation(s)
- Guy M. L. Perry
- Department of Biology, University of Prince Edward Island, Charlottetown, PEI, Canada
- * E-mail:
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23
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Youlten SE, Baldock PA. Using mouse genetics to understand human skeletal disease. Bone 2019; 126:27-36. [PMID: 30776501 DOI: 10.1016/j.bone.2019.02.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 01/25/2019] [Accepted: 02/13/2019] [Indexed: 02/06/2023]
Abstract
Technological advances have enabled the study of the human genome in incredible detail with relative ease. However, our ability to interpret the functional significance of the millions of genetic variants present within each individual is limited. As a result, the confident assignment of disease-causing variant calls remains a significant challenge. Here we explore how mouse genetics can help address this deficit in functional genomic understanding. Underpinned by marked genetic correspondence, skeletal biology shows inter-species similarities which provide important opportunities to use data from mouse models to direct research into the genetic basis of skeletal pathophysiology. In this article we outline critical resources that may be used to establish genotype/phenotype relationships in skeletal tissue, identify genes with established skeletal effects and define the transcriptome of critical skeletal cell types. Finally, we outline how these mouse resources might be utilized to progress from a list of human sequence variants toward plausible gene candidates that contribute to skeletal disease.
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Affiliation(s)
- Scott E Youlten
- Division of Bone Biology, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Australia, Sydney, NSW, 2010, Australia.
| | - Paul A Baldock
- Division of Bone Biology, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Australia, Sydney, NSW, 2010, Australia; University of Notre Dame Australia, Sydney, NSW, 2010, Australia
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24
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Mehta AR, Walters R, Waldron FM, Pal S, Selvaraj BT, Macleod MR, Hardingham GE, Chandran S, Gregory JM. Targeting mitochondrial dysfunction in amyotrophic lateral sclerosis: a systematic review and meta-analysis. Brain Commun 2019; 1:fcz009. [PMID: 32133457 PMCID: PMC7056361 DOI: 10.1093/braincomms/fcz009] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 07/12/2019] [Accepted: 07/23/2019] [Indexed: 12/11/2022] Open
Abstract
Interventions targeting mitochondrial dysfunction have the potential to extend survival in preclinical models of amyotrophic lateral sclerosis. The aim of this systematic review was to assess the efficacy of targeting mitochondria as a potential therapeutic target in amyotrophic lateral sclerosis. Preclinical studies written in the English language were identified with no restrictions on publication date from PubMed, Medline and EMBASE databases. All studies adopting interventions targeting mitochondria to treat amyotrophic lateral sclerosis in genetic or drug-induced organism models were considered for inclusion. A total of 76 studies were included in the analysis. Survival data were extracted, and the meta-analysis was completed in RevMan 5 software. We show that targeting mitochondrial dysfunction in amyotrophic lateral sclerosis results in a statistically significant improvement in survival (Z = 5.31; P<0.00001). The timing of administration of the intervention appears to affect the improvement in survival, with the greatest benefit occurring for interventions given prior to disease onset. Interventions at other time points were not significant, although this is likely to be secondary to a lack of publications examining these timepoints. The quality score had no impact on efficacy, and publication bias revealed an overestimation of the effect size, owing to one outlier study; excluding this led to the recalculated effect size changing from 5.31 to 3.31 (P<0.00001). The extant preclinical literature indicates that targeting mitochondrial dysfunction may prolong survival in amyotrophic lateral sclerosis, particularly if the intervention is administered early. A limitation of current research is a significant bias towards models based on superoxide dismutase 1, with uncertainty about generalisability to amyotrophic lateral sclerosis with an underlying TAR DNA binding protein 43 proteinopathy. However, further mechanistic research is clearly warranted in this field.
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Affiliation(s)
- Arpan R Mehta
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- The Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- The Euan MacDonald Centre, University of Edinburgh, Edinburgh, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Rachel Walters
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- The Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- The Euan MacDonald Centre, University of Edinburgh, Edinburgh, UK
| | - Fergal M Waldron
- Institute of Evolutionary Biology and Centre for Immunity Infection and Evolution, University of Edinburgh, Ashworth Laboratories, Edinburgh, UK
| | - Suvankar Pal
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- The Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- The Euan MacDonald Centre, University of Edinburgh, Edinburgh, UK
| | - Bhuvaneish T Selvaraj
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- The Euan MacDonald Centre, University of Edinburgh, Edinburgh, UK
| | - Malcolm R Macleod
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- The Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- The Euan MacDonald Centre, University of Edinburgh, Edinburgh, UK
| | - Giles E Hardingham
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
- The Euan MacDonald Centre, University of Edinburgh, Edinburgh, UK
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Siddharthan Chandran
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- The Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- The Euan MacDonald Centre, University of Edinburgh, Edinburgh, UK
- Centre for Brain Development and Repair, inStem, Bangalore, India
- MRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh, UK
- Edinburgh Neuroscience, University of Edinburgh, Edinburgh, UK
| | - Jenna M Gregory
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- The Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- The Euan MacDonald Centre, University of Edinburgh, Edinburgh, UK
- MRC Edinburgh Brain Bank, Academic Department of Neuropathology, University of Edinburgh, Edinburgh, UK
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25
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Transcriptional profiling identifies strain-specific effects of caloric restriction and opposite responses in human and mouse white adipose tissue. Aging (Albany NY) 2019; 10:701-746. [PMID: 29708498 PMCID: PMC5940131 DOI: 10.18632/aging.101424] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 04/20/2018] [Indexed: 12/13/2022]
Abstract
Caloric restriction (CR) has been extensively studied in rodents as an intervention to improve lifespan and healthspan. However, effects of CR can be strain- and species-specific. This study used publically available microarray data to analyze expression responses to CR in males from 7 mouse strains (C57BL/6J, BALB/c, C3H, 129, CBA, DBA, B6C3F1) and 4 tissues (epididymal white adipose tissue (eWAT), muscle, heart, cortex). In each tissue, the largest number of strain-specific CR responses was identified with respect to the C57BL/6 strain. In heart and cortex, CR responses in C57BL/6 mice were negatively correlated with responses in other strains. Strain-specific CR responses involved genes associated with olfactory receptors (Olfr1184, Olfr910) and insulin/IGF-1 signaling (Igf1, Irs2). In each strain, CR responses in eWAT were negatively correlated with those in human subcutaneous WAT (scWAT). In human scWAT, CR increased expression of genes associated with stem cell maintenance and vascularization. However, orthologous genes linked to these processes were down-regulated in mouse. These results identify strain-specific CR responses limiting generalization across mouse strains. Differential CR responses in mouse versus human WAT may be due to differences in the depots examined and/or the presence of “thrifty genes” in humans that resist adipose breakdown despite caloric deficit.
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Melia T, Waxman DJ. Sex-Biased lncRNAs Inversely Correlate With Sex-Opposite Gene Coexpression Networks in Diversity Outbred Mouse Liver. Endocrinology 2019; 160:989-1007. [PMID: 30840070 PMCID: PMC6449536 DOI: 10.1210/en.2018-00949] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 02/27/2019] [Indexed: 01/05/2023]
Abstract
Sex differences in liver gene expression are determined by pituitary growth hormone secretion patterns, which regulate sex-dependent liver transcription factors and establish sex-specific chromatin states. Hypophysectomy (hypox) identifies two major classes of liver sex-biased genes, defined by their sex-dependent positive or negative responses to pituitary hormone ablation. However, the mechanisms that underlie each hypox-response class are unknown. We sought to discover candidate, regulatory, long noncoding RNAs (lncRNAs) controlling responsiveness to hypox. We characterized gene structures and expression patterns for 15,558 mouse liver-expressed lncRNAs, including many sex-specific lncRNAs regulated during postnatal development or subject to circadian regulation. Using the high natural allelic variance of Diversity Outbred (DO) mice, we discovered tightly coexpressed clusters of sex-specific protein-coding genes (gene modules) in male and female DO liver. Remarkably, many gene modules were strongly enriched for sex-specific genes within a single hypox-response class, indicating that the genetic heterogeneity of DO mice encompasses responsiveness to hypox. Moreover, several distant gene modules were enriched for gene subsets of the same hypox-response class, highlighting the complex regulation of hypox-responsiveness. Finally, we identified eight sex-specific lncRNAs with strong negative regulatory potential, as indicated by their strong negative correlation of expression across DO mouse livers with that of protein-coding gene modules enriched for genes of the opposite sex bias and inverse hypox-response class. These findings reveal an important role for genetic factors in regulating responsiveness to hypox, and present testable hypotheses for the roles of sex-biased liver lncRNAs in controlling the sex-bias of liver gene expression.
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Affiliation(s)
- Tisha Melia
- Department of Biology and Bioinformatics Program, Boston University, Boston, Massachusetts
| | - David J Waxman
- Department of Biology and Bioinformatics Program, Boston University, Boston, Massachusetts
- Correspondence: David J. Waxman, PhD, Department of Biology, Boston University, 5 Cummington Mall, Boston, Massachusetts 02215. E-mail:
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Increased adiposity, inflammation, metabolic disruption and dyslipidemia in adult male offspring of DOSS treated C57BL/6 dams. Sci Rep 2019; 9:1530. [PMID: 30728429 PMCID: PMC6365642 DOI: 10.1038/s41598-018-38383-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2018] [Accepted: 12/16/2018] [Indexed: 12/11/2022] Open
Abstract
Evidence indicates that obesity can be promoted by chemical ‘obesogens’ that drive adiposity, hunger, inflammation and suppress metabolism. Dioctyl sodium sulfosuccinate (DOSS), a lipid emulsifier and candidate obesogen in vitro, is widely used in processed foods, cosmetics and as stool softener medicines commonly used during pregnancy. In vivo testing of DOSS was performed in a developmental origins of adult obesity model. Pregnant mice were orally administered vehicle control or DOSS at times and doses comparable to stool softener use during human pregnancy. All weaned offspring consumed only standard diet. Adult male but not female offspring of DOSS-treated dams showed significantly increased body mass, overall and visceral fat masses, and decreased bone area. They exhibited significant decreases in plasma adiponectin and increases in leptin, glucose intolerance and hyperinsulinemia. Inflammatory IL-6 was elevated, as was adipose Cox2 and Nox4 gene expressions, which may be associated with promoter DNA methylation changes. Multiple significant phospholipid/sterol lipid increases paralleled profiles from long-term high-fat diet induced obesity in males. Collectively, developmental DOSS exposure leads to increased adult adiposity, inflammation, metabolic disorder and dyslipidemia in offspring fed a standard diet, suggesting that pharmaceutical and other sources of DOSS taken during human pregnancy might contribute to long-term obesity-related health concerns in offspring.
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28
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Lilue J, Doran AG, Fiddes IT, Abrudan M, Armstrong J, Bennett R, Chow W, Collins J, Collins S, Czechanski A, Danecek P, Diekhans M, Dolle DD, Dunn M, Durbin R, Earl D, Ferguson-Smith A, Flicek P, Flint J, Frankish A, Fu B, Gerstein M, Gilbert J, Goodstadt L, Harrow J, Howe K, Ibarra-Soria X, Kolmogorov M, Lelliott C, Logan DW, Loveland J, Mathews CE, Mott R, Muir P, Nachtweide S, Navarro FC, Odom DT, Park N, Pelan S, Pham SK, Quail M, Reinholdt L, Romoth L, Shirley L, Sisu C, Sjoberg-Herrera M, Stanke M, Steward C, Thomas M, Threadgold G, Thybert D, Torrance J, Wong K, Wood J, Yalcin B, Yang F, Adams DJ, Paten B, Keane TM. Sixteen diverse laboratory mouse reference genomes define strain-specific haplotypes and novel functional loci. Nat Genet 2018; 50:1574-1583. [PMID: 30275530 PMCID: PMC6205630 DOI: 10.1038/s41588-018-0223-8] [Citation(s) in RCA: 119] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Accepted: 08/02/2018] [Indexed: 12/11/2022]
Abstract
We report full-length draft de novo genome assemblies for 16 widely used inbred mouse strains and find extensive strain-specific haplotype variation. We identify and characterize 2,567 regions on the current mouse reference genome exhibiting the greatest sequence diversity. These regions are enriched for genes involved in pathogen defence and immunity and exhibit enrichment of transposable elements and signatures of recent retrotransposition events. Combinations of alleles and genes unique to an individual strain are commonly observed at these loci, reflecting distinct strain phenotypes. We used these genomes to improve the mouse reference genome, resulting in the completion of 10 new gene structures. Also, 62 new coding loci were added to the reference genome annotation. These genomes identified a large, previously unannotated, gene (Efcab3-like) encoding 5,874 amino acids. Mutant Efcab3-like mice display anomalies in multiple brain regions, suggesting a possible role for this gene in the regulation of brain development.
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MESH Headings
- Animals
- Animals, Laboratory
- Chromosome Mapping/veterinary
- Genetic Loci
- Genome
- Haplotypes/genetics
- Mice
- Mice, Inbred BALB C/genetics
- Mice, Inbred C3H/genetics
- Mice, Inbred C57BL/genetics
- Mice, Inbred CBA/genetics
- Mice, Inbred DBA/genetics
- Mice, Inbred NOD/genetics
- Mice, Inbred Strains/classification
- Mice, Inbred Strains/genetics
- Molecular Sequence Annotation
- Phylogeny
- Polymorphism, Single Nucleotide
- Species Specificity
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Affiliation(s)
- Jingtao Lilue
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Anthony G. Doran
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Ian T. Fiddes
- Center for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Monica Abrudan
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Joel Armstrong
- Center for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Ruth Bennett
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
| | - William Chow
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Joanna Collins
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Stephan Collins
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Centre National de la Recherche Scientifique UMR7104, Institut National de la Santé et de la Recherche Médicale U964, Université de Strasbourg, 67404 Illkirch, France
- Centre des Sciences du Goût et de l’Alimentation, University of Bourgogne Franche-Comté, 21000 Dijon, France
| | - Anne Czechanski
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Petr Danecek
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Mark Diekhans
- Center for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Dirk-Dominik Dolle
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Matt Dunn
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Richard Durbin
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
- Department of Genetics, University of Cambridge, Downing Site, Cambridge CB2 3EH, UK
| | - Dent Earl
- Center for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Anne Ferguson-Smith
- Department of Genetics, University of Cambridge, Downing Site, Cambridge CB2 3EH, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Jonathan Flint
- Brain Research Institute, University of California, 695 Charles E Young Dr S, Los Angeles, CA 90095, USA
| | - Adam Frankish
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Beiyuan Fu
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Mark Gerstein
- Yale Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
| | - James Gilbert
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Leo Goodstadt
- OxFORD Asset Management, OxAM House, 6 George Street, Oxford OX1 2BW
| | - Jennifer Harrow
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Kerstin Howe
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | | | - Mikhail Kolmogorov
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Chris Lelliott
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Darren W. Logan
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Jane Loveland
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Clayton E. Mathews
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | - Richard Mott
- Genetics Institute, University College London, Gower Street, London WC1E 6BT, UK
| | - Paul Muir
- Yale Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
| | - Stefanie Nachtweide
- Institute of Mathematics and Computer Science, University of Greifswald, Domstraße 11, 17489 Greifswald, Germany
| | - Fabio C.P. Navarro
- Yale Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
| | - Duncan T. Odom
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK
- German Cancer Research Center (DKFZ), Division Signaling and Functional Genomics, 69120 Heidelberg, Germany
| | - Naomi Park
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Sarah Pelan
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Son K Pham
- BioTuring Inc., San Diego, California, CA92121
| | - Mike Quail
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Laura Reinholdt
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Lars Romoth
- Institute of Mathematics and Computer Science, University of Greifswald, Domstraße 11, 17489 Greifswald, Germany
| | - Lesley Shirley
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Cristina Sisu
- Yale Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Bioscience, Brunel University London, Uxbridge UB8 3PH, UK
| | - Marcela Sjoberg-Herrera
- Departamento de Biología Celular y Molecular, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
| | - Mario Stanke
- Institute of Mathematics and Computer Science, University of Greifswald, Domstraße 11, 17489 Greifswald, Germany
| | - Charles Steward
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Mark Thomas
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Glen Threadgold
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - David Thybert
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
- Earlham Institute, Norwich Research Park, Norwich NR4 7UZ, UK
| | - James Torrance
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Kim Wong
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Jonathan Wood
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Binnaz Yalcin
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Centre National de la Recherche Scientifique UMR7104, Institut National de la Santé et de la Recherche Médicale U964, Université de Strasbourg, 67404 Illkirch, France
| | - Fengtang Yang
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - David J. Adams
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Benedict Paten
- Center for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Thomas M. Keane
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
- School of Life Sciences, University of Nottingham, Nottingham, UK
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29
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LincRNA H19 protects from dietary obesity by constraining expression of monoallelic genes in brown fat. Nat Commun 2018; 9:3622. [PMID: 30190464 PMCID: PMC6127097 DOI: 10.1038/s41467-018-05933-8] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Accepted: 07/31/2018] [Indexed: 01/22/2023] Open
Abstract
Increasing brown adipose tissue (BAT) thermogenesis in mice and humans improves metabolic health and understanding BAT function is of interest for novel approaches to counteract obesity. The role of long noncoding RNAs (lncRNAs) in these processes remains elusive. We observed maternally expressed, imprinted lncRNA H19 increased upon cold-activation and decreased in obesity in BAT. Inverse correlations of H19 with BMI were also observed in humans. H19 overexpression promoted, while silencing of H19 impaired adipogenesis, oxidative metabolism and mitochondrial respiration in brown but not white adipocytes. In vivo, H19 overexpression protected against DIO, improved insulin sensitivity and mitochondrial biogenesis, whereas fat H19 loss sensitized towards HFD weight gains. Strikingly, paternally expressed genes (PEG) were largely absent from BAT and we demonstrated that H19 recruits PEG-inactivating H19-MBD1 complexes and acts as BAT-selective PEG gatekeeper. This has implications for our understanding how monoallelic gene expression affects metabolism in rodents and, potentially, humans. Brown adipose tissue (BAT) thermogenesis counteracts obesity and promotes metabolic health. The role of long non-coding RNAs (lncRNAs) in the regulation of this process is not well understood. Here the authors identify a maternally expressed lncRNA, H19, that increases BAT oxidative metabolism and energy expenditure.
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30
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He H, Holl K, DeBehnke S, Yeo CT, Hansen P, Gebre AK, Leone-Kabler S, Ruas M, Parks JS, Parrington J, Solberg Woods LC. Tpcn2 knockout mice have improved insulin sensitivity and are protected against high-fat diet-induced weight gain. Physiol Genomics 2018; 50:605-614. [PMID: 29750602 DOI: 10.1152/physiolgenomics.00135.2017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Type 2 diabetes is a complex disorder affected by multiple genes and the environment. Our laboratory has shown that in response to a glucose challenge, two-pore channel 2 ( Tpcn2) knockout mice exhibit a decreased insulin response but normal glucose clearance, suggesting they have improved insulin sensitivity compared with wild-type mice. We tested the hypothesis that improved insulin sensitivity in Tpcn2 knockout mice would protect against the negative effects of a high fat diet. Male and female Tpcn2 knockout (KO), heterozygous (Het), and wild-type (WT) mice were fed a low-fat (LF) or high-fat (HF) diet for 24 wk. HF diet significantly increases body weight in WT mice relative to those on the LF diet; this HF diet-induced increase in body weight is blunted in the Het and KO mice. Despite the protection against diet-induced weight gain, however, Tpcn2 KO mice are not protected against HF-diet-induced changes in glucose or insulin area under the curve during glucose tolerance tests in female mice, while HF diet has no significant effect on glucose tolerance in the male mice, regardless of genotype. Glucose disappearance during an insulin tolerance test is augmented in male KO mice, consistent with our previous findings suggesting enhanced insulin sensitivity in these mice. Male KO mice exhibit increased fasting plasma total cholesterol and triglyceride concentrations relative to WT mice on the LF diet, but this difference disappears in HF diet-fed mice where there is increased cholesterol and triglycerides across all genotypes. These data demonstrate that knockout of Tpcn2 may increase insulin action in male, but not female, mice. In addition, both male and female KO mice are protected against diet-induced weight gain, but this protection is likely independent from glucose tolerance, insulin sensitivity, and plasma lipid levels.
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Affiliation(s)
- Hong He
- Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Katie Holl
- Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Sarah DeBehnke
- Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Chay Teng Yeo
- Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Polly Hansen
- Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Abraham K Gebre
- Department of Internal Medicine-Section on Molecular Medicine, Wake Forest School of Medicine , Winston Salem, North Carolina
| | - Sandra Leone-Kabler
- Department of Internal Medicine-Section on Molecular Medicine, Wake Forest School of Medicine , Winston Salem, North Carolina
| | - Margarida Ruas
- Department of Pharmacology, University of Oxford , Oxford , United Kingdom
| | - John S Parks
- Department of Internal Medicine-Section on Molecular Medicine, Wake Forest School of Medicine , Winston Salem, North Carolina
| | - John Parrington
- Department of Pharmacology, University of Oxford , Oxford , United Kingdom
| | - Leah C Solberg Woods
- Department of Internal Medicine-Section on Molecular Medicine, Wake Forest School of Medicine , Winston Salem, North Carolina
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31
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Abstract
The majority of gene loci that have been associated with type 2 diabetes play a role in pancreatic islet function. To evaluate the role of islet gene expression in the etiology of diabetes, we sensitized a genetically diverse mouse population with a Western diet high in fat (45% kcal) and sucrose (34%) and carried out genome-wide association mapping of diabetes-related phenotypes. We quantified mRNA abundance in the islets and identified 18,820 expression QTL. We applied mediation analysis to identify candidate causal driver genes at loci that affect the abundance of numerous transcripts. These include two genes previously associated with monogenic diabetes (PDX1 and HNF4A), as well as three genes with nominal association with diabetes-related traits in humans (FAM83E, IL6ST, and SAT2). We grouped transcripts into gene modules and mapped regulatory loci for modules enriched with transcripts specific for α-cells, and another specific for δ-cells. However, no single module enriched for β-cell-specific transcripts, suggesting heterogeneity of gene expression patterns within the β-cell population. A module enriched in transcripts associated with branched-chain amino acid metabolism was the most strongly correlated with physiological traits that reflect insulin resistance. Although the mice in this study were not overtly diabetic, the analysis of pancreatic islet gene expression under dietary-induced stress enabled us to identify correlated variation in groups of genes that are functionally linked to diabetes-associated physiological traits. Our analysis suggests an expected degree of concordance between diabetes-associated loci in the mouse and those found in human populations, and demonstrates how the mouse can provide evidence to support nominal associations found in human genome-wide association mapping.
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32
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Abstract
Human obesity has a large genetic component, yet has many serious negative consequences. How this state of affairs has evolved has generated wide debate. The thrifty gene hypothesis was the first attempt to explain obesity as a consequence of adaptive responses to an ancient environment that in modern society become disadvantageous. The idea is that genes (or more precisely, alleles) predisposing to obesity may have been selected for by repeated exposure to famines. However, this idea has many flaws: for instance, selection of the supposed magnitude over the duration of human evolution would fix any thrifty alleles (famines kill the old and young, not the obese) and there is no evidence that hunter-gatherer populations become obese between famines. An alternative idea (called thrifty late) is that selection in famines has only happened since the agricultural revolution. However, this is inconsistent with the absence of strong signatures of selection at single nucleotide polymorphisms linked to obesity. In parallel to discussions about the origin of obesity, there has been much debate regarding the regulation of body weight. There are three basic models: the set-point, settling point and dual-intervention point models. Selection might act against low and high levels of adiposity because food unpredictability and the risk of starvation selects against low adiposity whereas the risk of predation selects against high adiposity. Although evidence for the latter is quite strong, evidence for the former is relatively weak. The release from predation ∼2-million years ago is suggested to have led to the upper intervention point drifting in evolutionary time, leading to the modern distribution of obesity: the drifty gene hypothesis. Recent critiques of the dual-intervention point/drifty gene idea are flawed and inconsistent with known aspects of energy balance physiology. Here, I present a new formulation of the dual-intervention point model. This model includes the novel suggestion that food unpredictability and starvation are insignificant factors driving fat storage, and that the main force driving up fat storage is the risk of disease and the need to survive periods of pathogen-induced anorexia. This model shows why two independent intervention points are more likely to evolve than a single set point. The molecular basis of the lower intervention point is likely based around the leptin pathway signalling. Determining the molecular basis of the upper intervention point is a crucial key target for future obesity research. A potential definitive test to separate the different models is also described.
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Affiliation(s)
- John R Speakman
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China .,Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, Scotland, UK
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33
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Arends D, Hesse D, Brockmann GA. Invited review: Genetic and genomic mouse models for livestock research. Arch Anim Breed 2018. [DOI: 10.5194/aab-61-87-2018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Abstract. Knowledge about the function and functioning of single or
multiple interacting genes is of the utmost significance for understanding the
organism as a whole and for accurate livestock improvement through genomic
selection. This includes, but is not limited to, understanding the
ontogenetic and environmentally driven regulation of gene action
contributing to simple and complex traits. Genetically modified mice, in
which
the functions of single genes are annotated; mice with reduced genetic
complexity; and simplified structured populations are tools to gain
fundamental knowledge of inheritance patterns and whole system genetics and
genomics. In this review, we briefly describe existing mouse resources and
discuss their value for fundamental and applied research in livestock.
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34
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Barrington WT, Wulfridge P, Wells AE, Rojas CM, Howe SYF, Perry A, Hua K, Pellizzon MA, Hansen KD, Voy BH, Bennett BJ, Pomp D, Feinberg AP, Threadgill DW. Improving Metabolic Health Through Precision Dietetics in Mice. Genetics 2018; 208:399-417. [PMID: 29158425 PMCID: PMC5753872 DOI: 10.1534/genetics.117.300536] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Accepted: 11/10/2017] [Indexed: 12/30/2022] Open
Abstract
The incidence of diet-induced metabolic disease has soared over the last half-century, despite national efforts to improve health through universal dietary recommendations. Studies comparing dietary patterns of populations with health outcomes have historically provided the basis for healthy diet recommendations. However, evidence that population-level diet responses are reliable indicators of responses across individuals is lacking. This study investigated how genetic differences influence health responses to several popular diets in mice, which are similar to humans in genetic composition and the propensity to develop metabolic disease, but enable precise genetic and environmental control. We designed four human-comparable mouse diets that are representative of those eaten by historical human populations. Across four genetically distinct inbred mouse strains, we compared the American diet's impact on metabolic health to three alternative diets (Mediterranean, Japanese, and Maasai/ketogenic). Furthermore, we investigated metabolomic and epigenetic alterations associated with diet response. Health effects of the diets were highly dependent on genetic background, demonstrating that individualized diet strategies improve health outcomes in mice. If similar genetic-dependent diet responses exist in humans, then a personalized, or "precision dietetics," approach to dietary recommendations may yield better health outcomes than the traditional one-size-fits-all approach.
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Affiliation(s)
- William T Barrington
- Department of Molecular and Cellular Medicine, Texas A&M Health Science Center, Texas A&M University, College Station, Texas 77843
- Department of Biological Sciences, Genetics Program, North Carolina State University, Raleigh, North Carolina 27695
| | - Phillip Wulfridge
- Center for Epigenetics, Institute for Basic Biomedical Sciences, Johns Hopkins University, Baltimore, Maryland 21205
| | - Ann E Wells
- UT-ORNL Graduate School of Genome Science and Technology, Department of Animal Science, University of Tennessee, Knoxville, Tennessee 37996
| | - Carolina Mantilla Rojas
- Department of Molecular and Cellular Medicine, Texas A&M Health Science Center, Texas A&M University, College Station, Texas 77843
| | - Selene Y F Howe
- Department of Molecular and Cellular Medicine, Texas A&M Health Science Center, Texas A&M University, College Station, Texas 77843
| | - Amie Perry
- Department of Veterinary Pathobiology, Texas A&M University, College Station, Texas 77843
| | - Kunjie Hua
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27559
| | | | - Kasper D Hansen
- Center for Epigenetics, Institute for Basic Biomedical Sciences, Johns Hopkins University, Baltimore, Maryland 21205
- Department of Biostatistics, Johns Hopkins University, Baltimore, Maryland 21205
- Nathan-McKusick Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205
| | - Brynn H Voy
- UT-ORNL Graduate School of Genome Science and Technology, Department of Animal Science, University of Tennessee, Knoxville, Tennessee 37996
| | - Brian J Bennett
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27559
| | - Daniel Pomp
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27559
| | - Andrew P Feinberg
- Center for Epigenetics, Institute for Basic Biomedical Sciences, Johns Hopkins University, Baltimore, Maryland 21205
| | - David W Threadgill
- Department of Molecular and Cellular Medicine, Texas A&M Health Science Center, Texas A&M University, College Station, Texas 77843
- Department of Veterinary Pathobiology, Texas A&M University, College Station, Texas 77843
- Faculty of Nutrition, Texas A&M University, College Station, Texas 77843
- Faculty of Genetics, Texas A&M University, College Station, Texas 77843
- Faculty of Toxicology, Texas A&M University, College Station, Texas 77843
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Karunakaran S, Clee SM. Genetics of metabolic syndrome: potential clues from wild-derived inbred mouse strains. Physiol Genomics 2018; 50:35-51. [DOI: 10.1152/physiolgenomics.00059.2017] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The metabolic syndrome (MetS) is a complex constellation of metabolic abnormalities including obesity, abnormal glucose metabolism, dyslipidemia, and elevated blood pressure that together substantially increase risk for cardiovascular disease and Type 2 diabetes. Both genetic and environmental factors contribute to the development of MetS, but this process is still far from understood. Human studies have revealed only part of the underlying basis. Studies in mice offer many strengths that can complement human studies to help elucidate the etiology and pathophysiology of MetS. Here we review the ways mice can contribute to MetS research. In particular, we focus on the information that can be obtained from studies of the inbred strains, with specific focus on the phenotypes of the wild-derived inbred strains. These are newly derived inbred strains that were created from wild-caught mice. They contain substantial genetic variation that is not present in the classical inbred strains, have phenotypes of relevance for MetS, and various mouse strain resources have been created to facilitate the mining of this new genetic variation. Thus studies using wild-derived inbred strains hold great promise for increasing our understanding of MetS.
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Affiliation(s)
- Subashini Karunakaran
- Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Susanne M. Clee
- Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada
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Kucuk Baloglu F, Baloglu O, Heise S, Brockmann G, Severcan F. Triglyceride dependent differentiation of obesity in adipose tissues by FTIR spectroscopy coupled with chemometrics. JOURNAL OF BIOPHOTONICS 2017; 10:1345-1355. [PMID: 28128535 DOI: 10.1002/jbio.201600223] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 10/28/2016] [Accepted: 12/23/2016] [Indexed: 06/06/2023]
Abstract
The excess deposition of triglycerides in adipose tissue is the main reason of obesity and causes excess release of fatty acids to the circulatory system resulting in obesity and insulin resistance. Body mass index and waist circumference are not precise measure of obesity and obesity related metabolic diseases. Therefore, in the current study, it was aimed to propose triglyceride bands located at 1770-1720 cm-1 spectral region as a more sensitive obesity related biomarker using the diagnostic potential of Fourier Transform Infrared (FTIR) spectroscopy in subcutaneous (SCAT) and visceral (VAT) adipose tissues. The adipose tissue samples were obtained from 10 weeks old male control (DBA/2J) (n = 6) and four different obese BFMI mice lines (n = 6 per group). FTIR spectroscopy coupled with hierarchical cluster analysis (HCA) and principal component analysis (PCA) was applied to the spectra of triglyceride bands as a diagnostic tool in the discrimination of the samples. Successful discrimination of the obese, obesity related insulin resistant and control groups were achieved with high sensitivity and specificity. The results revealed the power of FTIR spectroscopy coupled with chemometric approaches in internal diagnosis of abdominal obesity based on the spectral differences in the triglyceride region that can be used as a spectral marker.
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Affiliation(s)
- Fatma Kucuk Baloglu
- Department of Biological Sciences, Middle East Technical University, 06531, Ankara, Turkey
| | - Onur Baloglu
- Department of Biological Sciences, Middle East Technical University, 06531, Ankara, Turkey
| | - Sebastian Heise
- Department of Breeding Biology and Molecular Genetics, Humboldt Universitatzu Berlin, Berlin, Germany
| | - Gudrun Brockmann
- Department of Breeding Biology and Molecular Genetics, Humboldt Universitatzu Berlin, Berlin, Germany
| | - Feride Severcan
- Department of Biological Sciences, Middle East Technical University, 06531, Ankara, Turkey
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Swindell WR. Meta-Analysis of 29 Experiments Evaluating the Effects of Rapamycin on Life Span in the Laboratory Mouse. J Gerontol A Biol Sci Med Sci 2017; 72:1024-1032. [PMID: 27519886 DOI: 10.1093/gerona/glw153] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Accepted: 07/12/2016] [Indexed: 12/16/2022] Open
Abstract
Rapamycin has favorable effects on aging in mice and may eventually be applied to encourage "healthy aging" in humans. This study analyzed raw data from 29 survival studies of rapamycin- and control-treated mice, with the goals of estimating summary statistics and identifying factors associated with effect size heterogeneity. Meta-analysis demonstrated significant heterogeneity across studies, with hazard ratio (HR) estimates ranging from 0.22 (95% confidence interval [CI]: 0.06-0.82) to 0.92 (95% CI: 0.65-1.28). Sex was the major factor accounting for effect size variation, and mortality was decreased more in females (HR = 0.41; 95% CI: 0.35-0.48) as compared with males (HR = 0.63; 95% CI: 0.55-0.71). Rapamycin effects were also genotype dependent, however, with stronger survivorship increases in hybrid mice (14.4%; 95% CI: 12.5-16.3%) relative to pure inbred strains (8.8%; 95% CI: 6.2-11.6%). Number needed to treat was applied as an effect size metric, which consistently identified early senescence as the age of peak treatment benefit. These results provide synthesis of existing data to support the potential translation of findings from mouse to primate species. Because rapamycin's effect on survival depends on sex and genotype, further work is justified to understand how these factors shape treatment response.
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Sex chromosomes drive gene expression and regulatory dimorphisms in mouse embryonic stem cells. Biol Sex Differ 2017; 8:28. [PMID: 28818098 PMCID: PMC5561606 DOI: 10.1186/s13293-017-0150-x] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Accepted: 08/10/2017] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Pre-implantation embryos exhibit sexual dimorphisms in both primates and rodents. To determine whether these differences reflected sex-biased expression patterns, we generated transcriptome profiles for six 40,XX, six 40,XY, and two 39,X mouse embryonic stem (ES) cells by RNA sequencing. RESULTS We found hundreds of coding and non-coding RNAs that were differentially expressed between male and female cells. Surprisingly, the majority of these were autosomal and included RNA encoding transcription and epigenetic and chromatin remodeling factors. We showed differential Prdm14-responsive enhancer activity in male and female cells, correlating with the sex-specific levels of Prdm14 expression. This is the first time sex-specific enhancer activity in ES cells has been reported. Evaluation of X-linked gene expression patterns between our XX and XY lines revealed four distinct categories: (1) genes showing 2-fold greater expression in the female cells; (2) a set of genes with expression levels well above 2-fold in female cells; (3) genes with equivalent RNA levels in male and female cells; and strikingly, (4) a small number of genes with higher expression in the XY lines. Further evaluation of autosomal gene expression revealed differential expression of imprinted loci, despite appropriate parent-of-origin patterns. The 39,X lines aligned closely with the XY cells and provided insights into potential regulation of genes associated with Turner syndrome in humans. Moreover, inclusion of the 39,X lines permitted three-way comparisons, delineating X and Y chromosome-dependent patterns. CONCLUSIONS Overall, our results support the role of the sex chromosomes in establishing sex-specific networks early in embryonic development and provide insights into effects of sex chromosome aneuploidies originating at those stages.
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Wei W, Bastiaansen-Jenniskens YM, Suijkerbuijk M, Kops N, Bos PK, Verhaar JAN, Zuurmond AM, Dell'Accio F, van Osch GJVM. High fat diet accelerates cartilage repair in DBA/1 mice. J Orthop Res 2017; 35:1258-1264. [PMID: 27147295 DOI: 10.1002/jor.23280] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2015] [Accepted: 04/30/2016] [Indexed: 02/04/2023]
Abstract
Obesity is a well-known risk factor for osteoarthritis, but it is unknown what it does on cartilage repair. Here we investigated whether a high fat diet (HFD) influences cartilage repair in a mouse model of cartilage repair. We fed DBA/1 mice control or HFD (60% energy from fat). After 2 weeks, a full thickness cartilage defect was made in the trochlear groove. Mice were sacrificed, 1, 8, and 24 weeks after operation. Cartilage repair was evaluated on histology. Serum glucose, insulin and amyloid A were measured 24 h before operation and at endpoints. Immunohistochemical staining was performed on synovium and adipose tissue to evaluate macrophage infiltration and phenotype. One week after operation, mice on HFD had defect filling with fibroblast-like cells and more cartilage repair as indicated by a lower Pineda score. After 8 weeks, mice on a HFD still had a lower Pineda score. After 24 weeks, no mice had complete cartilage repair and we did not detect a significant difference in cartilage repair between diets. Bodyweight was increased by HFD, whereas serum glucose, amyloid A and insulin were not influenced. Macrophage infiltration and phenotype in adipose tissue and synovium were not influenced by HFD. In contrast to common wisdom, HFD accelerated intrinsic cartilage repair in DBA/1 mice on the short term. Resistance to HFD induced inflammatory and metabolic changes could be associated with accelerated cartilage repair. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 35:1258-1264, 2017.
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Affiliation(s)
- Wu Wei
- Department of Orthopaedics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | | | - Mathijs Suijkerbuijk
- Department of Orthopaedics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Nicole Kops
- Department of Orthopaedics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Pieter K Bos
- Department of Orthopaedics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Jan A N Verhaar
- Department of Orthopaedics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | | | | | - Gerjo J V M van Osch
- Department of Orthopaedics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Otorhinolaryngology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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Sirois F, Chrétien M, Mbikay M. Comparing expression and activity of PCSK9 in SPRET/EiJ and C57BL/6J mouse strains shows lack of correlation with plasma cholesterol. Mol Genet Metab Rep 2016; 10:11-17. [PMID: 27995077 PMCID: PMC5155046 DOI: 10.1016/j.ymgmr.2016.11.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Accepted: 11/26/2016] [Indexed: 01/03/2023] Open
Abstract
Objective Low-density lipoprotein receptor (LDLR) and proprotein convertase subtilisin/kexin type 9 (PCSK9) are opposing regulators of plasma LDL-cholesterol levels. The PCSK9 gene exhibits many single or compound polymorphisms within or among mammalian species. This is case between the SPRET/EiJ (SPRET) and C57BL/6J (B6) mouse strains. We examined whether these polymorphisms could be associated with differential expression and activity of their respective PCSK9 molecules. Methods Liver expression of LDLR and PCSK9 transcripts were assessed by RT-PCR, and that of their corresponding proteins by immunoblotting. Purified recombinant PCSK9 proteins were assayed for their ability to degrade LDLR. Pcsk9 gene proximal promoters were tested for activation of a luciferase reporter gene. Results SPRET and B6 mice carried comparable levels of plasma cholesterol in spite of the fact that SPRET mice expressed less PCSK9 and more LDLR in liver. There were indels and single-base differences between their Pcsk9 cDNA and promoter sequences. Ex vivo, SPRET PCSK9 protein was less secreted but was more active at degrading LDLR. Its gene promoter was more active at driving expression of the luciferase reporter. Conclusions Collectively, these results suggest that, compared to the B6 mouse, the SPRET mouse may represent an example of absence of direct correlation between PCSK9 and cholesterol levels in plasma, due to genetic variations leading to reduced secretion of PCSK9 associated with greater LDLR-degrading activity.
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Affiliation(s)
- Francine Sirois
- Functional Endoproteolysis Laboratory, Clinical Research Institute of Montreal, 110 avenue des Pins Ouest, Montreal, Quebec H2W 1R7, Canada
| | - Michel Chrétien
- Functional Endoproteolysis Laboratory, Clinical Research Institute of Montreal, 110 avenue des Pins Ouest, Montreal, Quebec H2W 1R7, Canada; Chronic Disease Program, Ottawa Hospital Research Institute, 725 Parkdale Avenue, Ottawa, Ontario K1Y 4E9, Canada; Department of Biochemistry, Microbiology, and Immunology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, Ontario K1H 8M5, Canada
| | - Majambu Mbikay
- Functional Endoproteolysis Laboratory, Clinical Research Institute of Montreal, 110 avenue des Pins Ouest, Montreal, Quebec H2W 1R7, Canada; Chronic Disease Program, Ottawa Hospital Research Institute, 725 Parkdale Avenue, Ottawa, Ontario K1Y 4E9, Canada; Department of Biochemistry, Microbiology, and Immunology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, Ontario K1H 8M5, Canada
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Acosta W, Meek TH, Schutz H, Dlugosz EM, Garland T. Preference for Western diet coadapts in High Runner mice and affects voluntary exercise and spontaneous physical activity in a genotype-dependent manner. Behav Processes 2016; 135:56-65. [PMID: 27908664 DOI: 10.1016/j.beproc.2016.11.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2016] [Revised: 11/19/2016] [Accepted: 11/27/2016] [Indexed: 01/06/2023]
Abstract
Do animals evolve (coadapt) to choose diets that positively affect their performance abilities? We addressed this question from a microevolutionary perspective by examining preference for Western diet (WD: high in fat and sugar, but lower in protein) versus standard rodent chow in adults of both sexes from 4 lines of mice selectively bred for high levels of voluntary wheel running (High Runner or HR lines) and 4 non-selected control (C) lines. We also assessed whether food preference or substitution affects physical activity (wheel running and/or spontaneous physical activity [SPA] in the attached home cages). In experiment 1 (generation 56), mice were given 6days of wheel acclimation (as is used routinely to pick breeders in the selection experiment) prior to a 2-day food choice trial. In experiment 2 (generation 56), 17days of wheel acclimation allowed mice to reach a stable level of daily running, followed by a 7-day food-choice trial. In experiment 3 (generation 58), mice had 6days of wheel acclimation with standard chow, after which half were switched to WD for two days. In experiment 1, WD was highly preferred by all mice, with somewhat greater preference in male C mice. In experiment 2, wheel running increased and SPA decreased continuously for the first 14days of adult wheel testing, followed by 3-day plateaus in both. During the subsequent 7-day food choice trial, HR mice of both sexes preferred WD significantly more than did C mice; moreover, wheel running increased in all groups except males from C lines, with the increase being significantly greater in HR than C, while SPA declined further in all groups. In experiment 3, the effect of being switched to WD depended on both linetype and sex. On standard chow, only HR females showed a significant change in wheel running during nights 7+8, increasing by 10%. In contrast, when switched to WD, C females (+28%), HR females (+33%), and HR males (+10%) all significantly increased their daily wheel-running distances. Our results show for the first time that dietary preferences can coadapt in response to selection on activity levels.
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Affiliation(s)
- Wendy Acosta
- Department of Biology, University of California, Riverside, CA 92521, USA
| | - Thomas H Meek
- Department of Biology, University of California, Riverside, CA 92521, USA
| | - Heidi Schutz
- Department of Biology, University of California, Riverside, CA 92521, USA
| | | | - Theodore Garland
- Department of Biology, University of California, Riverside, CA 92521, USA.
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Garland T, Cadney MD, Waterland RA. Early-Life Effects on Adult Physical Activity: Concepts, Relevance, and Experimental Approaches. Physiol Biochem Zool 2016; 90:1-14. [PMID: 28051947 PMCID: PMC6397655 DOI: 10.1086/689775] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Locomotion is a defining characteristic of animal life and plays a crucial role in most behaviors. Locomotion involves physical activity, which can have far-reaching effects on physiology and neurobiology, both acutely and chronically. In human populations and in laboratory rodents, higher levels of physical activity are generally associated with positive health outcomes, although excessive exercise can have adverse consequences. Whether and how such relationships occur in wild animals is unknown. Behavioral variation among individuals arises from genetic and environmental factors and their interactions as well as from developmental programming (persistent effects of early-life environment). Although tremendous progress has been made in identifying genetic and environmental influences on individual differences in behavior, early-life effects are not well understood. Early-life effects can in some cases persist across multiple generations following a single exposure and, in principle, may constrain or facilitate the rate of evolution at multiple levels of biological organization. Understanding the mechanisms of such transgenerational effects (e.g., exposure to stress hormones in utero, inherited epigenetic alterations) may prove crucial to explaining unexpected and/or sex-specific responses to selection as well as limits to adaptation. One area receiving increased attention is early-life effects on adult physical activity. Correlational data from epidemiological studies suggest that early-life nutritional stress can (adversely) affect adult human activity levels and associated physiological traits (e.g., body composition, metabolic health). The few existing studies of laboratory rodents demonstrate that both maternal and early-life exercise can affect adult levels of physical activity and related phenotypes. Going forward, rodents offer many opportunities for experimental studies of (multigenerational) early-life effects, including studies that use maternal exposures and cross-fostering designs.
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Affiliation(s)
- Theodore Garland
- Department of Biology, University of California, Riverside, California 92521
| | - Marcell D. Cadney
- Department of Biology, University of California, Riverside, California 92521
| | - Robert A. Waterland
- Departments of Pediatrics and Molecular & Human Genetics, Baylor College of Medicine, USDA/ARS Children’s Nutrition Research Center, Houston, Texas 77030
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Gillombardo CB, Darrah R, Dick TE, Moore M, Kong N, Decker MJ, Han F, Yamauchi M, Dutschmann M, Azzam S, Strohl KP. C57BL/6J mouse apolipoprotein A2 gene is deterministic for apnea. Respir Physiol Neurobiol 2016; 235:88-94. [PMID: 27756649 DOI: 10.1016/j.resp.2016.10.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2016] [Revised: 09/30/2016] [Accepted: 10/11/2016] [Indexed: 11/16/2022]
Abstract
RATIONALE Brainstem apolipoprotein AII (apoa2) mRNA expression correlates with apnea in breathing present in the adult C57Bl/6J (B6) sleep apnea model. OBJECTIVES To test the hypothesis that the B6 apoa2 gene contributes to the trait, we performed plethysmographic testing in apoa2 knock out (KO: -/-) mice, an in situ brainstem-spinal cord preparation comparing KO to WT (+/+) mice, and B6xDBA recombinant inbred strains (RISs). MEASUREMENTS AND MAIN RESULTS Apoa2 WT do, but KO and heterozygote (+/-) mice do not exhibit apnea during post-hypoxic breathing, measured in vivo. In the in situ model, pauses and instability in fictive phrenic bursting are substantially reduced in KO vs. WT preparations. In 24 RISs, apnea number in vivo was higher in strains with B6 apoa2 than with DBA apoa2 alleles. CONCLUSIONS The B6 apoa2 polymorphism is directly involved in breath production, and its identification suggests a novel pathway influencing risk for adult sleep apnea.
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Affiliation(s)
- Carl B Gillombardo
- Department of Medicine, Cleveland Clinic Foundation, Cleveland, OH, United States
| | - Rebecca Darrah
- Department of Genetics and Genome Science, Case Western Reserve University, Cleveland, OH, United States
| | - Thomas E Dick
- Department of Medicine, University Hospitals Case Medical Center, Cleveland, OH, United States; School of Medicine, Case Western Reserve University, Cleveland, OH, United States
| | - Michael Moore
- Department of Medicine, University Hospitals Case Medical Center, Cleveland, OH, United States
| | - Nathan Kong
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Michael J Decker
- Francis Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH, United States
| | - Fang Han
- People's Hospital, Beijing Medical University, Beijing, China
| | | | - Mathias Dutschmann
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Australia
| | - Sausan Azzam
- Department of Nutrition, Case School of Medicine, Cleveland, OH, United States
| | - Kingman P Strohl
- Department of Medicine, University Hospitals Case Medical Center, Cleveland, OH, United States; School of Medicine, Case Western Reserve University, Cleveland, OH, United States.
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Kim SK, Avila JJ, Massett MP. Strain survey and genetic analysis of vasoreactivity in mouse aorta. Physiol Genomics 2016; 48:861-873. [PMID: 27764765 DOI: 10.1152/physiolgenomics.00054.2016] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 09/25/2016] [Indexed: 11/22/2022] Open
Abstract
Understanding the genetic influence on vascular reactivity is important for identifying genes underlying impaired vascular function. The purpose of this study was to characterize the genetic contribution to intrinsic vascular function and to identify loci associated with phenotypic variation in vascular reactivity in mice. Concentration response curves to phenylephrine (PE), potassium chloride (KCl), acetylcholine (ACh), and sodium nitroprusside (SNP) were generated in aortic rings from male mice (12 wk old) from 27 inbred mouse strains. Significant strain-dependent differences were found for both maximal responses and sensitivity for each agent, except for SNP Max (%). Strain differences for maximal responses to ACh, PE, and KCl varied by two- to fivefold. On the basis of these large strain differences, we performed genome-wide association mapping (GWAS) to identify loci associated with variation in responses to these agents. GWAS for responses to ACh identified four significant and 19 suggestive loci. Several suggestive loci for responses to SNP, PE, and KCl (including one significant locus for KCl EC50) were also identified. These results demonstrate that intrinsic endothelial function, and more generally vascular function, is genetically determined and associated with multiple genomic loci. Furthermore, these results are supported by the finding that several genes residing in significant and suggestive loci for responses to ACh were previously identified in rat and/or human quantitative trait loci/GWAS for cardiovascular disease. This study represents the first step toward the unbiased comprehensive discovery of genetic determinants that regulate intrinsic vascular function, particularly endothelial function.
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Affiliation(s)
- Seung Kyum Kim
- Department of Health and Kinesiology, Texas A&M University, College Station, Texas
| | - Joshua J Avila
- Department of Health and Kinesiology, Texas A&M University, College Station, Texas
| | - Michael P Massett
- Department of Health and Kinesiology, Texas A&M University, College Station, Texas
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Fine mapping a major obesity locus (jObes1) using a Berlin Fat Mouse × B6N advanced intercross population. Int J Obes (Lond) 2016; 40:1784-1788. [PMID: 27538457 DOI: 10.1038/ijo.2016.150] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Revised: 07/12/2016] [Accepted: 07/22/2016] [Indexed: 11/08/2022]
Abstract
BACKGROUND/OBJECTIVES The Berlin Fat Mouse Inbred line 860 is a model for juvenile obesity. Previously, a recessive major effect locus (jObes1) on chromosome 3 between 34 and 44 Mb has been found to be responsible for 39% of the variance of total fat mass at 10 weeks in a (BFMI860 x C57BL/6NCrl) F2 population. The aim of this study was fine mapping of the jObes1 locus. SUBJECTS/METHODS An advanced intercross line (AIL) was generated from the initial F2 mapping population. Three hundred and forty-four male mice of generation 28 were excessively phenotyped and genotyped using the MegaMuga mouse chip containing 22 164 informative single-nucleotide polymorphisms. Expression of candidate genes was investigated in gonadal adipose tissue, liver and whole brain from mice of different genotype classes. Classical genetic complementation tests were performed to test candidate genes. RESULTS The high mapping resolution of the AIL reduced the confidence interval for jObes1 from 10 to 0.37 Mb between 36.48 and 36.85 Mb. This region was highly significantly (logarithm (base 10) of odds (LOD) score after Benjamini and Hochberg correction (LOD(BH))>50) associated with total fat mass starting at puberty (6 weeks). Male homozygous carriers of the jObese1 BFMI allele had 3 g more fat than the other genotypes. Surprisingly, this genotype class showed lower body mass until weaning at 3 weeks (LOD(BH)=3.2). The mapped interval contains four genes. Bbs7, the most likely candidate gene that also caused obesity in the complementation test was differentially expressed in all tissues examined, whereas the neighboring cyclin A2 (Ccna2) gene showed differential expression in gonadal adipose tissue. CONCLUSIONS Using an AIL, the confidence interval for jObes1 could be 27-fold reduced by finding chromosomal recombinations. Although Bbs7 is the most likely obesity gene in the jObes1 region, neighboring genes cannot be entirely excluded. Further examinations are needed to enlighten the mechanism leading to physiological consequences on body mass and fat mass in juvenile animals.
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Doran AG, Wong K, Flint J, Adams DJ, Hunter KW, Keane TM. Deep genome sequencing and variation analysis of 13 inbred mouse strains defines candidate phenotypic alleles, private variation and homozygous truncating mutations. Genome Biol 2016; 17:167. [PMID: 27480531 PMCID: PMC4968449 DOI: 10.1186/s13059-016-1024-y] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Accepted: 07/12/2016] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The Mouse Genomes Project is an ongoing collaborative effort to sequence the genomes of the common laboratory mouse strains. In 2011, the initial analysis of sequence variation across 17 strains found 56.7 M unique single nucleotide polymorphisms (SNPs) and 8.8 M indels. We carry out deep sequencing of 13 additional inbred strains (BUB/BnJ, C57BL/10J, C57BR/cdJ, C58/J, DBA/1J, I/LnJ, KK/HiJ, MOLF/EiJ, NZB/B1NJ, NZW/LacJ, RF/J, SEA/GnJ and ST/bJ), cataloguing molecular variation within and across the strains. These strains include important models for immune response, leukaemia, age-related hearing loss and rheumatoid arthritis. We now have several examples of fully sequenced closely related strains that are divergent for several disease phenotypes. RESULTS Approximately 27.4 M unique SNPs and 5 M indels are identified across these strains compared to the C57BL/6 J reference genome (GRCm38). The amount of variation found in the inbred laboratory mouse genome has increased to 71 M SNPs and 12 M indels. We investigate the genetic basis of highly penetrant cancer susceptibility in RF/J finding private novel missense mutations in DNA damage repair and highly cancer associated genes. We use two highly related strains (DBA/1J and DBA/2J) to investigate the genetic basis of collagen-induced arthritis susceptibility. CONCLUSIONS This paper significantly expands the catalogue of fully sequenced laboratory mouse strains and now contains several examples of highly genetically similar strains with divergent phenotypes. We show how studying private missense mutations can lead to insights into the genetic mechanism for a highly penetrant phenotype.
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Affiliation(s)
- Anthony G Doran
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1HH, UK
| | - Kim Wong
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1HH, UK
| | - Jonathan Flint
- The Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford, OX3 7BN, UK
| | - David J Adams
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1HH, UK
| | - Kent W Hunter
- Laboratory of Cancer Biology and Genetics, NCI, NIH, Bethesda, Maryland, USA.
| | - Thomas M Keane
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1HH, UK.
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Garland T, Zhao M, Saltzman W. Hormones and the Evolution of Complex Traits: Insights from Artificial Selection on Behavior. Integr Comp Biol 2016; 56:207-24. [PMID: 27252193 PMCID: PMC5964798 DOI: 10.1093/icb/icw040] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Although behavior may often be a fairly direct target of natural or sexual selection, it cannot evolve without changes in subordinate traits that cause or permit its expression. In principle, changes in endocrine function could be a common mechanism underlying behavioral evolution because they are well positioned to mediate integrated responses to behavioral selection. More specifically, hormones can influence both motivational (e.g., brain) and performance (e.g., muscles) components of behavior simultaneously and in a coordinated fashion. If the endocrine system is often "used" as a general mechanism to effect responses to selection, then correlated responses in other aspects of behavior, life history, and organismal performance (e.g., locomotor abilities) should commonly occur because any cell with appropriate receptors could be affected. Ways in which behavior coadapts with other aspects of the phenotype can be studied directly through artificial selection and experimental evolution. Several studies have targeted rodent behavior for selective breeding and reported changes in other aspects of behavior, life history, and lower-level effectors of these organismal traits, including endocrine function. One example involves selection for high levels of voluntary wheel running, one aspect of physical activity, in four replicate High Runner (HR) lines of mice. Circulating levels of several hormones (including insulin, testosterone, thyroxine, triiodothyronine) have been characterized, three of which-corticosterone, leptin, and adiponectin-differ between HR and control lines, depending on sex, age, and generation. Potential changes in circulating levels of other behaviorally and metabolically relevant hormones, as well as in other components of the endocrine system (e.g., receptors), have yet to be examined. Overall, results to date identify promising avenues for further studies on the endocrine basis of activity levels.
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Affiliation(s)
- Theodore Garland
- *Department of Biology, University of California, Riverside, Riverside, CA 92506, USA
| | - Meng Zhao
- *Department of Biology, University of California, Riverside, Riverside, CA 92506, USA
| | - Wendy Saltzman
- *Department of Biology, University of California, Riverside, Riverside, CA 92506, USA
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Mahana D, Trent CM, Kurtz ZD, Bokulich NA, Battaglia T, Chung J, Müller CL, Li H, Bonneau RA, Blaser MJ. Antibiotic perturbation of the murine gut microbiome enhances the adiposity, insulin resistance, and liver disease associated with high-fat diet. Genome Med 2016; 8:48. [PMID: 27124954 PMCID: PMC4847194 DOI: 10.1186/s13073-016-0297-9] [Citation(s) in RCA: 122] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Background Obesity, type 2 diabetes, and non-alcoholic fatty liver disease (NAFLD) are serious health concerns, especially in Western populations. Antibiotic exposure and high-fat diet (HFD) are important and modifiable factors that may contribute to these diseases. Methods To investigate the relationship of antibiotic exposure with microbiome perturbations in a murine model of growth promotion, C57BL/6 mice received lifelong sub-therapeutic antibiotic treatment (STAT), or not (control), and were fed HFD starting at 13 weeks. To characterize microbiota changes caused by STAT, the V4 region of the 16S rRNA gene was examined from collected fecal samples and analyzed. Results In this model, which included HFD, STAT mice developed increased weight and fat mass compared to controls. Although results in males and females were not identical, insulin resistance and NAFLD were more severe in the STAT mice. Fecal microbiota from STAT mice were distinct from controls. Compared with controls, STAT exposure led to early conserved diet-independent microbiota changes indicative of an immature microbial community. Key taxa were identified as STAT-specific and several were found to be predictive of disease. Inferred network models showed topological shifts concurrent with growth promotion and suggest the presence of keystone species. Conclusions These studies form the basis for new models of type 2 diabetes and NAFLD that involve microbiome perturbation. Electronic supplementary material The online version of this article (doi:10.1186/s13073-016-0297-9) contains supplementary material, which is available to authorized users.
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Lee-Rueckert M, Escola-Gil JC, Kovanen PT. HDL functionality in reverse cholesterol transport--Challenges in translating data emerging from mouse models to human disease. Biochim Biophys Acta Mol Cell Biol Lipids 2016; 1861:566-83. [PMID: 26968096 DOI: 10.1016/j.bbalip.2016.03.004] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2015] [Revised: 02/26/2016] [Accepted: 03/04/2016] [Indexed: 12/18/2022]
Abstract
Whereas LDL-derived cholesterol accumulates in atherosclerotic lesions, HDL particles are thought to facilitate removal of cholesterol from the lesions back to the liver thereby promoting its fecal excretion from the body. Because generation of cholesterol-loaded macrophages is inherent to atherogenesis, studies on the mechanisms stimulating the release of cholesterol from these cells and its ultimate excretion into feces are crucial to learn how to prevent lesion development or even induce lesion regression. Modulation of this key anti-atherogenic pathway, known as the macrophage-specific reverse cholesterol transport, has been extensively studied in several mouse models with the ultimate aim of applying the emerging knowledge to humans. The present review provides a detailed comparison and critical analysis of the various steps of reverse cholesterol transport in mouse and man. We attempt to translate this in vivo complex scenario into practical concepts, which could serve as valuable tools when developing novel HDL-targeted therapies.
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50
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Paigen B, Currer JM, Svenson KL. Effects of Varied Housing Density on a Hybrid Mouse Strain Followed for 20 Months. PLoS One 2016; 11:e0149647. [PMID: 26900840 PMCID: PMC4762697 DOI: 10.1371/journal.pone.0149647] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 02/03/2016] [Indexed: 11/23/2022] Open
Abstract
To evaluate the effect of increased housing density in a hybrid mouse strain, we evaluated a panel of physiological and behavioral traits in animals that were housed in groups of 3, 5, 8, or 12, using cages that provide 78.1 in2 of floor space. Such groupings resulted in cage densities that ranged from half to almost twice the density recommended by the Guide for the Care and Use of Laboratory Animals. While previous studies have investigated physiological effects of increased housing density using inbred mouse strains, including C57BL/6J and 129S1/SvImJ, this study tested an F1 hybrid population of C57BL/6J x 129S1/SvImJ for changes resulting from either decreased or increased housing density. Mice were followed until they were 20 months old, a substantially longer duration than has been used in previous density studies. We evaluated mortality, growth, home cage behavior, blood pressure, body composition, clinical plasma chemistries, immune function, and organ weights (heart, kidney, adrenal glands, and testes) as endpoints of chronic stress that may arise from sub-optimal housing conditions. Few statistically different parameters were observed in this study, none of which describe chronic stress and all within normal physiological ranges for research mice, suggesting that this hybrid strain was not adversely affected by housing at twice the density currently recommended.
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Affiliation(s)
- Beverly Paigen
- The Jackson Laboratory, 600 Main Street, Bar Harbor, Maine, 04609, United States of America
| | - Joanne M. Currer
- The Jackson Laboratory, 600 Main Street, Bar Harbor, Maine, 04609, United States of America
| | - Karen L. Svenson
- The Jackson Laboratory, 600 Main Street, Bar Harbor, Maine, 04609, United States of America
- * E-mail:
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