The Role of Bone Morphogenetic Protein Signaling in Non-Alcoholic Fatty Liver Disease.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
19 06 2020
Historique:
received: 13 03 2019
accepted: 05 05 2020
entrez: 21 6 2020
pubmed: 21 6 2020
medline: 15 12 2020
Statut: epublish

Résumé

Non-alcoholic fatty liver disease (NAFLD) affects over 30% of adults in the United States. Bone morphogenetic protein (BMP) signaling is known to contribute to hepatic fibrosis, but the role of BMP signaling in the development of NAFLD is unclear. In this study, treatment with either of two BMP inhibitors reduced hepatic triglyceride content in diabetic (db/db) mice. BMP inhibitor-induced decrease in hepatic triglyceride levels was associated with decreased mRNA encoding Dgat2, an enzyme integral to triglyceride synthesis. Treatment of hepatoma cells with BMP2 induced DGAT2 expression and activity via intracellular SMAD signaling. In humans we identified a rare missense single nucleotide polymorphism in the BMP type 1 receptor ALK6 (rs34970181;R371Q) associated with a 2.1-fold increase in the prevalence of NAFLD. In vitro analyses revealed R371Q:ALK6 is a previously unknown constitutively active receptor. These data show that BMP signaling is an important determinant of NAFLD in a murine model and is associated with NAFLD in humans.

Identifiants

pubmed: 32561790
doi: 10.1038/s41598-020-66770-8
pii: 10.1038/s41598-020-66770-8
pmc: PMC7305229
doi:

Substances chimiques

Biomarkers 0
Bone Morphogenetic Proteins 0
LDN 193189 0
Pyrazoles 0
Pyrimidines 0
Smad Proteins 0
DGAT2 protein, mouse EC 2.3.1.20
Diacylglycerol O-Acyltransferase EC 2.3.1.20

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

9831

Subventions

Organisme : U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI)
ID : R01HL142809
Pays : International
Organisme : NIAMS NIH HHS
ID : T32 AR007592
Pays : United States
Organisme : NHLBI NIH HHS
ID : K08 HL111210
Pays : United States
Organisme : U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI)
ID : K08HL111210
Pays : International
Organisme : NHLBI NIH HHS
ID : R01 HL142809
Pays : United States

Références

Bedogni, G., Nobili, V. & Tiribelli, C. Epidemiology of fatty liver: An update. World J Gastroenterol 20, 9050–9054, https://doi.org/10.3748/wjg.v20.i27.9050 (2014).
doi: 10.3748/wjg.v20.i27.9050 pubmed: 25083078 pmcid: 4112887
Fargion, S., Porzio, M. & Fracanzani, A. L. Nonalcoholic fatty liver disease and vascular disease: state-of-the-art. World J Gastroenterol 20, 13306–13324, https://doi.org/10.3748/wjg.v20.i37.13306 (2014).
doi: 10.3748/wjg.v20.i37.13306 pubmed: 25309067 pmcid: 4188888
Targher, G. & Arcaro, G. Non-alcoholic fatty liver disease and increased risk of cardiovascular disease. Atherosclerosis 191, 235–240, https://doi.org/10.1016/j.atherosclerosis.2006.08.021 (2007).
doi: 10.1016/j.atherosclerosis.2006.08.021 pubmed: 16970951
Lai, L. L., Wan Yusoff, W. N. I., Vethakkan, S. R., Nik Mustapha, N. R. & Mahadeva, S. Screening for non-alcoholic fatty liver disease in patients with type 2 diabetes mellitus using transient elastography, https://doi.org/10.1111/jgh.14577 (2018).
Kabir, M. A. et al. Prevalence of Non-Alcoholic Fatty Liver Disease and Its Biochemical Predictors in Patients with Type-2 Diabetes Mellitus. Mymensingh Med J 27, 237–244 (2018).
pubmed: 29769484
Anstee, Q. M., Targher, G. & Day, C. P. Progression of NAFLD to diabetes mellitus, cardiovascular disease or cirrhosis. Nat Rev Gastroenterol Hepatol 10, 330–344, https://doi.org/10.1038/nrgastro.2013.41 (2013).
doi: 10.1038/nrgastro.2013.41 pubmed: 23507799
Browning, J. D. & Horton, J. D. Molecular mediators of hepatic steatosis and liver injury. J Clin Invest 114, 147–152, https://doi.org/10.1172/JCI22422 (2004).
doi: 10.1172/JCI22422 pubmed: 15254578 pmcid: 449757
Donnelly, K. L. et al. Sources of fatty acids stored in liver and secreted via lipoproteins in patients with nonalcoholic fatty liver disease. J Clin Invest 115, 1343–1351 (2005).
doi: 10.1172/JCI23621
Postic, C. & Girard, J. Contribution of de novo fatty acid synthesis to hepatic steatosis and insulin resistance: lessons from genetically engineered mice. J Clin Invest 118, 829–838, https://doi.org/10.1172/JCI34275 (2008).
doi: 10.1172/JCI34275 pubmed: 18317565 pmcid: 2254980
Shi, Y. & Cheng, D. Beyond triglyceride synthesis: the dynamic functional roles of MGAT and DGAT enzymes in energy metabolism. Am J Physiol Endocrinol Metab 297, E10–18 (2009).
doi: 10.1152/ajpendo.90949.2008
Yen, C. L., Stone, S. J., Koliwad, S., Harris, C. & Farese, R. V. Jr. Thematic review series: glycerolipids. DGAT enzymes and triacylglycerol biosynthesis. J Lipid Res 49, 2283–2301, https://doi.org/10.1194/jlr.R800018-JLR200 (2008).
doi: 10.1194/jlr.R800018-JLR200 pubmed: 18757836 pmcid: 3837458
Choi, C. S. et al. Suppression of diacylglycerol acyltransferase-2 (DGAT2), but not DGAT1, with antisense oligonucleotides reverses diet-induced hepatic steatosis and insulin resistance. J Biol Chem 282, 22678–22688, https://doi.org/10.1074/jbc.M704213200 (2007).
doi: 10.1074/jbc.M704213200 pubmed: 17526931
Jornayvaz, F. R. et al. Hepatic insulin resistance in mice with hepatic overexpression of diacylglycerol acyltransferase 2. Proc Natl Acad Sci U S A 108, 5748–5752, https://doi.org/10.1073/pnas.1103451108 (2011).
doi: 10.1073/pnas.1103451108 pubmed: 21436037 pmcid: 3078388
Kim, M. O. et al. Identification and validation of a selective small molecule inhibitor targeting the diacylglycerol acyltransferase 2 activity. Biol Pharm Bull 36, 1167–1173 (2013).
doi: 10.1248/bpb.b13-00152
Liu, Y. et al. Knockdown of acyl-CoA:diacylglycerol acyltransferase 2 with antisense oligonucleotide reduces VLDL TG and ApoB secretion in mice. Biochim Biophys Acta 1781, 97–104, https://doi.org/10.1016/j.bbalip.2008.01.001 (2008).
doi: 10.1016/j.bbalip.2008.01.001 pubmed: 18252207
Stone, S. J. et al. Lipopenia and skin barrier abnormalities in DGAT2-deficient mice. Journal of Biological Chemistry 279, 11767–11776 (2004).
doi: 10.1074/jbc.M311000200
Monetti, M. et al. Dissociation of hepatic steatosis and insulin resistance in mice overexpressing DGAT in the liver. Cell metabolism 6, 69–78, https://doi.org/10.1016/j.cmet.2007.05.005 (2007).
doi: 10.1016/j.cmet.2007.05.005 pubmed: 17618857
Yu, X. X. et al. Antisense oligonucleotide reduction of DGAT2 expression improves hepatic steatosis and hyperlipidemia in obese mice. Hepatology (Baltimore, Md.) 42, 362–371, https://doi.org/10.1002/hep.20783 (2005).
doi: 10.1002/hep.20783
Breitkopf-Heinlein, K. et al. BMP-9 interferes with liver regeneration and promotes liver fibrosis. Gut 66, 939–954, https://doi.org/10.1136/gutjnl-2016-313314 (2017).
doi: 10.1136/gutjnl-2016-313314 pubmed: 28336518
Sugimoto, H. et al. BMP-7 functions as a novel hormone to facilitate liver regeneration. FASEB journal: official publication of the Federation of American Societies for Experimental Biology 21, 256–264, https://doi.org/10.1096/fj.06-6837com (2007).
doi: 10.1096/fj.06-6837com
Wang, L. P. et al. BMP-7 attenuates liver fibrosis via regulation of epidermal growth factor receptor. International journal of clinical and experimental pathology 7, 3537–3547 (2014).
pubmed: 25120732 pmcid: 4128967
Chen, D., Zhao, M. & Mundy, G. R. Bone morphogenetic proteins. Growth Factors 22, 233–241, https://doi.org/10.1080/08977190412331279890 (2004).
doi: 10.1080/08977190412331279890 pubmed: 15621726
Massague, J. How cells read TGF-beta signals. Nat Rev Mol Cell Biol 1, 169–178, https://doi.org/10.1038/35043051 (2000).
doi: 10.1038/35043051 pubmed: 11252892
Anstee, Q. M. & Goldin, R. D. Mouse models in non-alcoholic fatty liver disease and steatohepatitis research. Int J Exp Pathol 87, 1–16, https://doi.org/10.1111/j.0959-9673.2006.00465.x (2006).
doi: 10.1111/j.0959-9673.2006.00465.x pubmed: 16436109 pmcid: 2517349
Takahashi, Y., Soejima, Y. & Fukusato, T. Animal models of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis. World J Gastroenterol 18, 2300–2308, https://doi.org/10.3748/wjg.v18.i19.2300 (2012).
doi: 10.3748/wjg.v18.i19.2300 pubmed: 22654421 pmcid: 3353364
Hebbard, L. & George, J. Animal models of nonalcoholic fatty liver disease. Nat Rev Gastroenterol Hepatol 8, 35–44, https://doi.org/10.1038/nrgastro.2010.191 (2011).
doi: 10.1038/nrgastro.2010.191 pubmed: 21119613
Yu, P. B. et al. Dorsomorphin inhibits BMP signals required for embryogenesis and iron metabolism. Nature chemical biology 4, 33–41, https://doi.org/10.1038/nchembio.2007.54 (2008).
doi: 10.1038/nchembio.2007.54 pubmed: 18026094
Takeuchi, K. & Reue, K. Biochemistry, physiology, and genetics of GPAT, AGPAT, and lipin enzymes in triglyceride synthesis. Am J Physiol Endocrinol Metab 296, E1195–1209 (2009).
doi: 10.1152/ajpendo.90958.2008
Zhou, L. et al. Cidea promotes hepatic steatosis by sensing dietary fatty acids. Hepatology (Baltimore, Md.) 56, 95–107, https://doi.org/10.1002/hep.25611 (2012).
doi: 10.1002/hep.25611
Chavez-Tapia, N. C., Rosso, N. & Tiribelli, C. In vitro models for the study of non-alcoholic fatty liver disease. Curr Med Chem 18, 1079–1084 (2011).
doi: 10.2174/092986711794940842
Pulley, J., Clayton, E., Bernard, G. R., Roden, D. M. & Masys, D. R. Principles of human subjects protections applied in an opt-out, de-identified biobank. Clin Transl Sci 3, 42–48, https://doi.org/10.1111/j.1752-8062.2010.00175.x (2010).
doi: 10.1111/j.1752-8062.2010.00175.x pubmed: 20443953 pmcid: 3075971
Dumitrescu, L. et al. Assessing the accuracy of observer-reported ancestry in a biorepository linked to electronic medical records. Genet Med 12, 648–650, https://doi.org/10.1097/GIM.0b013e3181efe2df (2010).
doi: 10.1097/GIM.0b013e3181efe2df pubmed: 20733501 pmcid: 2952033
Ritchie, M. D. et al. Robust replication of genotype-phenotype associations across multiple diseases in an electronic medical record. Am J Hum Genet 86, 560–572, https://doi.org/10.1016/j.ajhg.2010.03.003 (2010).
doi: 10.1016/j.ajhg.2010.03.003 pubmed: 20362271 pmcid: 2850440
The UniProt Consortium. UniProt: the universal protein knowledgebase. Nucleic Acids Res 45, D158–D169, https://doi.org/10.1093/nar/gkw1099 (2017).
doi: 10.1093/nar/gkw1099
Wieser, R., Wrana, J. L. & Massague, J. GS domain mutations that constitutively activate T beta R-I, the downstream signaling component in the TGF-beta receptor complex. The EMBO journal 14, 2199–2208 (1995).
doi: 10.1002/j.1460-2075.1995.tb07214.x
Derwall, M. et al. Inhibition of bone morphogenetic protein signaling reduces vascular calcification and atherosclerosis. Arteriosclerosis, thrombosis, and vascular biology 32, 613–622 (2012).
doi: 10.1161/ATVBAHA.111.242594
Graham, B. B., Robinson, J. C. & Tuder, R. M. Fatty Acid Metabolism, Bone Morphogenetic Protein Receptor Type 2, and the Right Ventricle. American journal of respiratory and critical care medicine 194, 655–656, https://doi.org/10.1164/rccm.201603-0592ED (2016).
doi: 10.1164/rccm.201603-0592ED pubmed: 27628075 pmcid: 5027232
Tseng, Y. H. et al. New role of bone morphogenetic protein 7 in brown adipogenesis and energy expenditure. Nature 454, 1000–1004, https://doi.org/10.1038/nature07221 (2008).
doi: 10.1038/nature07221 pubmed: 18719589 pmcid: 2745972
Boergermann, J. H., Kopf, J., Yu, P. B. & Knaus, P. Dorsomorphin and LDN-193189 inhibit BMP-mediated Smad, p38 and Akt signalling in C2C12 cells. Int J Biochem Cell Biol 42, 1802–1807 (2010).
doi: 10.1016/j.biocel.2010.07.018
Baud’huin, M. et al. A soluble bone morphogenetic protein type IA receptor increases bone mass and bone strength. Proceedings of the National Academy of Sciences 109, 12207, https://doi.org/10.1073/pnas.1204929109 (2012).
doi: 10.1073/pnas.1204929109
Kantartzis, K. et al. The DGAT2 gene is a candidate for the dissociation between fatty liver and insulin resistance in humans. Clin Sci (Lond) 116, 531–537, https://doi.org/10.1042/cs20080306 (2009).
doi: 10.1042/cs20080306
Macaluso, F. S., Maida, M. & Petta, S. Genetic background in nonalcoholic fatty liver disease: A comprehensive review. World J Gastroenterol 21, 11088–11111, https://doi.org/10.3748/wjg.v21.i39.11088 (2015).
doi: 10.3748/wjg.v21.i39.11088 pubmed: 26494964 pmcid: 4607907
Speliotes, E. K. et al. Genome-wide association analysis identifies variants associated with nonalcoholic fatty liver disease that have distinct effects on metabolic traits. Plos Genetics 7, e1001324, https://doi.org/10.1371/journal.pgen.1001324 (2011).
doi: 10.1371/journal.pgen.1001324 pubmed: 21423719 pmcid: 3053321
Kahali, B., Halligan, B. & Speliotes, E. K. Insights from Genome-Wide Association Analyses of Nonalcoholic Fatty Liver Disease. Seminars in liver disease 35, 375–391, https://doi.org/10.1055/s-0035-1567870 (2015).
doi: 10.1055/s-0035-1567870 pubmed: 26676813 pmcid: 4941959
Speliotes, E. K. et al. Genome-wide association analysis identifies variants associated with nonalcoholic fatty liver disease that have distinct effects on metabolic traits. Plos Genetics 7, e1001324, https://doi.org/10.1371/journal.pgen.1001324 (2011).
doi: 10.1371/journal.pgen.1001324 pubmed: 21423719 pmcid: 3053321
Romeo, S. et al. Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease. Nature Genetics 40, 1461–1465, https://doi.org/10.1038/ng.257 (2008).
doi: 10.1038/ng.257 pubmed: 18820647 pmcid: 2597056
Agarwal, S. et al. Strategic Targeting of Multiple BMP Receptors Prevents Trauma-Induced Heterotopic Ossification. Molecular Therapy 25, 1974–1987, https://doi.org/10.1016/j.ymthe.2017.01.008 (2017).
doi: 10.1016/j.ymthe.2017.01.008 pubmed: 28716575 pmcid: 5542633
Ayala, J. E. et al. Standard operating procedures for describing and performing metabolic tests of glucose homeostasis in mice. Disease Models & Mechanisms 3, 525–534 (2010).
doi: 10.1242/dmm.006239
Gomez-Lechon, M. J. et al. A human hepatocellular in vitro model to investigate steatosis. Chem Biol Interact 165, 106–116 (2007).
doi: 10.1016/j.cbi.2006.11.004
Cui, W., Chen, S. L. & Hu, K. Q. Quantification and mechanisms of oleic acid-induced steatosis in HepG2 cells. Am J Transl Res 2, 95–104 (2010).
pubmed: 20182586 pmcid: 2826826
Lin, C. L., Huang, H. C. & Lin, J. K. Theaflavins attenuate hepatic lipid accumulation through activating AMPK in human HepG2 cells. J Lipid Res 48, 2334–2343, https://doi.org/10.1194/jlr.M700128-JLR200 (2007).
doi: 10.1194/jlr.M700128-JLR200 pubmed: 17720960
McFie, P. J. & Stone, S. J. A fluorescent assay to quantitatively measure in vitro acyl CoA:diacylglycerol acyltransferase activity. J Lipid Res 52, 1760–1764, https://doi.org/10.1194/jlr.D016626 (2011).
doi: 10.1194/jlr.D016626 pubmed: 21653930 pmcid: 3151697
Kim, T. H. & Dekker, J. ChIP-Quantitative Polymerase Chain Reaction (ChIP-qPCR). Cold Spring Harbor protocols 2018, pdb.prot082628, https://doi.org/10.1101/pdb.prot082628 (2018).
Hao, J. et al. In vivo structure-activity relationship study of dorsomorphin analogues identifies selective VEGF and BMP inhibitors. ACS chemical biology 5, 245–253, https://doi.org/10.1021/cb9002865 (2010).
doi: 10.1021/cb9002865 pubmed: 20020776 pmcid: 2825290
Zilberberg, L., ten Dijke, P., Sakai, L. Y. & Rifkin, D. B. A rapid and sensitive bioassay to measure bone morphogenetic protein activity. BMC Cell Biol 8, 41, https://doi.org/10.1186/1471-2121-8-41 (2007).
doi: 10.1186/1471-2121-8-41 pubmed: 17880711 pmcid: 2094707
Roden, D. M. et al. Development of a large-scale de-identified DNA biobank to enable personalized medicine. Clinical pharmacology and therapeutics 84, 362–369, https://doi.org/10.1038/clpt.2008.89 (2008).
doi: 10.1038/clpt.2008.89 pubmed: 18500243 pmcid: 3763939
Kotronen, A. et al. Non-alcoholic and alcoholic fatty liver disease - two diseases of affluence associated with the metabolic syndrome and type 2 diabetes: the FIN-D2D survey. BMC public health 10, 237, https://doi.org/10.1186/1471-2458-10-237 (2010).
doi: 10.1186/1471-2458-10-237 pubmed: 20459722 pmcid: 2873937

Auteurs

Timothy E Thayer (TE)

Cardiovascular Research Center and Cardiology Division of the Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.

Christian L Lino Cardenas (CL)

Cardiovascular Research Center and Cardiology Division of the Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Trejeeve Martyn (T)

Cardiovascular Research Center and Cardiology Division of the Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Christopher J Nicholson (CJ)

Cardiovascular Research Center and Cardiology Division of the Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Lisa Traeger (L)

Anesthesia Center for Critical Care Research of the Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Florian Wunderer (F)

Anesthesia Center for Critical Care Research of the Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Charles Slocum (C)

Cardiovascular Research Center and Cardiology Division of the Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Haakon Sigurslid (H)

Cardiovascular Research Center and Cardiology Division of the Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Hannah R Shakartzi (HR)

Anesthesia Center for Critical Care Research of the Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Caitlin O'Rourke (C)

Anesthesia Center for Critical Care Research of the Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Georgia Shelton (G)

Cardiovascular Research Center and Cardiology Division of the Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Mary D Buswell (MD)

Cardiovascular Research Center and Cardiology Division of the Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Hanna Barnes (H)

Cardiovascular Research Center and Cardiology Division of the Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Leif R Neitzel (LR)

Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.

Clara D Ledsky (CD)

Anesthesia Center for Critical Care Research of the Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Jason Pingcheng Li (JP)

Anesthesia Center for Critical Care Research of the Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Megan F Burke (MF)

Cardiovascular Research Center and Cardiology Division of the Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Eric Farber-Eger (E)

Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.

Daniel S Perrien (DS)

Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.

Ravindra Kumar (R)

Acceleron Pharma, Inc., Cambridge, MA, United States.

Kathleen E Corey (KE)

GI Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Quinn S Wells (QS)

Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.

Kenneth D Bloch (KD)

Cardiovascular Research Center and Cardiology Division of the Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Anesthesia Center for Critical Care Research of the Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Charles C Hong (CC)

Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.

Donald B Bloch (DB)

Anesthesia Center for Critical Care Research of the Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Center for Immunology and Inflammatory Diseases and the Division of Rheumatology, Allergy, and Immunology of the Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Rajeev Malhotra (R)

Cardiovascular Research Center and Cardiology Division of the Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States. rmalhotra@mgh.harvard.edu.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
C-Reactive Protein Humans Biomarkers Inflammation
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice

Classifications MeSH