Whole transcriptome analysis and validation of metabolic pathways in subcutaneous adipose tissues during FGF21-induced weight loss in non-human primates
Open accessAbstract
Fibroblast growth factor 21 (FGF21) induces weight loss in mouse, monkey, and human studies. In mice, FGF21 is thought to cause weight loss by stimulating thermogenesis, but whether FGF21 increases energy expenditure (EE) in primates is unclear. Here, we explore the transcriptional response and gene networks active in adipose tissue of rhesus macaques following FGF21-induced weight loss. Genes related to thermogenesis responded inconsistently to FGF21 treatment and weight loss. However, expression of gene modules involved in triglyceride (TG) synthesis and adipogenesis decreased, and this was associated with greater weight loss. Conversely, expression of innate immune cell markers was increased post-treatment and was associated with greater weight loss. A lipogenesis gene module associated with weight loss was evaluated by testing the function of member genes in mice. Overexpression of NRG4 reduced weight gain in diet-induced obese mice, while overexpression of ANGPTL8 resulted in elevated TG levels in lean mice. These observations provide evidence for a shifting balance of lipid storage and metabolism due to FGF21-induced weight loss in the non-human primate model, and do not fully recapitulate increased EE seen in rodent and in vitro studies. These discrepancies may reflect inter-species differences or complex interplay of FGF21 activity and counter-regulatory mechanisms.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In DIO non-human primates, FGF21 or FGF21-analog administration promotes weight loss.
“In DIO non-human primates, similarly to rodents, FGF21 or FGF21-analog administration also promotes weight loss40,81,86.”
From Metabolic messengers: FGF21 (2021) · cites this paper as [86]
Some studies report FGF21-mediated weight loss without effects on food intake; another study using PF-05231023 reports weight loss attributable to significant decreases in food intake.
“whereas some studies have reported FGF21-mediated weight loss without effects on food intake40,86, another study using an FGF21 analogue (PF-05231023) in non-human primates has reported that the weight loss is attributable to significant decreases in food intake81.”
From Metabolic messengers: FGF21 (2021) · cites this paper as [86]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709 · see citing works
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364 · see citing works
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458 · see citing works
WGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252 · see citing works
Tissue-based map of the human proteome
Uhlén, M., Fagerberg, L., Hallström, B. M., Lindskog, C., Oksvold, P., Mardinoglu, A., Sivertsson, Å., Kampf, C., Sjöstedt, E., Asplund, A., et al. (2015) · Science · doi:10.1126/science.1260419 · Cited by 15,286 · see citing works
The Molecular Signatures Database Hallmark Gene Set Collection
Liberzon, A., Birger, C., Thorvaldsdóttir, H., Ghandi, M., Mesirov, J. P., & Tamayo, P. (2015) · Cell Systems · doi:10.1016/j.cels.2015.12.004 · Cited by 13,807 · see citing works
Mootha, V. K., Lindgren, C. M., Eriksson, K.-F., Subramanian, A., Sihag, S., Lehar, J., Puigserver, P., Carlsson, E., Ridderstråle, M., Laurila, E., et al. (2003) · Nature Genetics · doi:10.1038/ng1180 · Cited by 10,197 · see citing works
Causal analysis approaches in Ingenuity Pathway Analysis
Krämer, A., Green, J., Pollard, J., & Tugendreich, S. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt703 · Cited by 5,724 · see citing works
VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencingPreprint
Koboldt, D. C., Zhang, Q., Larson, D. E., Shen, D., McLellan, M. D., Lin, L., Miller, C. A., Mardis, E. R., Ding, L., & Wilson, R. K. (2012) · Genome Research · doi:10.1101/gr.129684.111 · Cited by 4,822 · see citing works
Spatiotemporal Dynamics of Intratumoral Immune Cells Reveal the Immune Landscape in Human Cancer
Bindea, G., Mlecnik, B., Tosolini, M., Kirilovsky, A., Waldner, M. J., Obenauf, A. C., Angell, H. K., Fredriksen, T., Lafontaine, L., Berger, A., et al. (2013) · Immunity · doi:10.1016/j.immuni.2013.10.003 · Cited by 4,390 · see citing works
FGF-21 as a novel metabolic regulator
Kharitonenkov, A., Shiyanova, T. L., Koester, A., Ford, A. M., Micanovic, R., Galbreath, E. J., Sandusky, G. E., Hammond, L. J., Moyers, J. S., Owens, R. A., et al. (2005) · Journal of Clinical Investigation · doi:10.1172/jci23606 · Cited by 2,125 · see citing works
Hydrodynamics-based transfection in animals by systemic administration of plasmid DNA
Liu, F., Song, Y. K., & Liu, D. (1999) · Gene Therapy · doi:10.1038/sj.gt.3300947 · Cited by 1,728 · see citing works
FGF21 regulates PGC-1α and browning of white adipose tissues in adaptive thermogenesis
Fisher, F. M., Kleiner, S., Douris, N., Fox, E. C., Mepani, R. J., Verdeguer, F., Wu, J., Kharitonenkov, A., Flier, J. S., Maratos-Flier, E., et al. (2012) · Genes & Development · doi:10.1101/gad.177857.111 · Cited by 1,478 · see citing works
Aggressive Behavior and Altered Amounts of Brain Serotonin and Norepinephrine in Mice Lacking MAOA
Cases, O., Seif, I., Grimsby, J. S., Gaspar, P., Chen, K., Vandormael‐Pournin, S., Müller, U., Aguet, M., Babinet, C., Shih, J. C., et al. (1995) · Science · doi:10.1126/science.7792602 · Cited by 1,225 · see citing works
Fibroblast Growth Factor 21 Corrects Obesity in Mice
Coskun, T., Bina, H. A., Schneider, M. A., Dunbar, J. D., Hu, C. C., Chen, Y., Moller, D. E., & Kharitonenkov, A. (2008) · Endocrinology · doi:10.1210/en.2008-0816 · Cited by 1,031 · see citing works
Zhang, G., Budker, V. G., & Wolff, J. A. (1999) · Human Gene Therapy · doi:10.1089/10430349950017734 · Cited by 944 · see citing works
Magkos, F., Fraterrigo, G., Yoshino, J., Luecking, C., Kirbach, K., Kelly, S. C., de las Fuentes, L., He, S., Okunade, A. L., Patterson, B. W., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.02.005 · Cited by 886 · see citing works
The effects of LY2405319, an FGF21 analog, in obese human subjects with type 2 diabetes
Gaich, G., Chien, J. Y., Fu, H., Glass, L. C., Deeg, M. A., Holland, W. L., Kharitonenkov, A., Bumol, T., Schilske, H. K., & Moller, D. E. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.08.005 · Cited by 885 · see citing works
Weight loss and lipolysis promote a dynamic immune response in murine adipose tissue
Kosteli, A., Sugaru, E., Haemmerle, G., Martin, J. F., Lei, J., Zechner, R., & Ferrante, A. W. (2010) · Journal of Clinical Investigation · doi:10.1172/jci42845 · Cited by 726 · see citing works
Adipocyte inflammation is essential for healthy adipose tissue expansion and remodeling
Wernstedt Asterholm, I., Tao, C., Morley, T. S., Wang, Q. A., Delgado-Lopez, F., Wang, Z. V., & Scherer, P. E. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.05.005 · Cited by 668 · see citing works
Thermogenic Activation Induces FGF21 Expression and Release in Brown Adipose Tissue
Hondares, E., Iglesias, R., Giralt, A., Gonzalez, F. J., Giralt, M., Mampel, T., & Villarroya, F. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.215889 · Cited by 623 · see citing works
New insights into sympathetic regulation of glucose and fat metabolism
Nonogaki, K. (2000) · Diabetologia · doi:10.1007/s001250051341 · Cited by 576 · see citing works
Xu, X., Grijalva, A., Skowronski, A., van Eijk, M., Serlie, M. J., & Ferrante, A. W. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.11.001 · Cited by 523 · see citing works
FGF21 acts centrally to induce sympathetic nerve activity, energy expenditure, and weight loss
Owen, B. M., Ding, X., Morgan, D. A., Coate, K. C., Bookout, A. L., Rahmouni, K., Kliewer, S. A., & Mangelsdorf, D. J. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.07.012 · Cited by 523 · see citing works
Genome-wide generation and systematic phenotyping of knockout mice reveals new roles for many genes.
White, J. K., Gerdin, A.-K., Karp, N. A., Ryder, E., Buljan, M., Bussell, J. N., Salisbury, J., Clare, S., Ingham, N. J., Podrini, C., et al. (2013) · Cell · doi:10.1016/j.cell.2013.06.022 · Cited by 509 · see citing works
Wang, G.-X., Zhao, X.-Y., Meng, Z., Kern, M., Dietrich, A., Chen, Z., Cozacov, Z., Zhou, D., Okunade, A. L., Su, X., et al. (2014) · Nature Medicine · doi:10.1038/nm.3713 · Cited by 508 · see citing works
Talukdar, S., Zhou, Y., Li, D., Rossulek, M., Dong, J., Somayaji, V., Weng, Y., Clark, R., Lanba, A., Owen, B. M., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.02.001 · Cited by 496 · see citing works
Atypical angiopoietin-like protein that regulates ANGPTL3
Quagliarini, F., Wang, Y., Kozlitina, J., Grishin, N. V., Hyde, R., Boerwinkle, E., Valenzuela, D. M., Murphy, A. J., Cohen, J. C., & Hobbs, H. H. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1217552109 · Cited by 454 · see citing works
Adiponectin signaling and function in insulin target tissues
Ruan, H., & Dong, L. Q. (2016) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjw014 · Cited by 395 · see citing works
Remodeling Phenotype of Human Subcutaneous Adipose Tissue Macrophages
Bourlier, V., Zakaroff‐Girard, A., Miranville, A., Barros, S. D., Maumus, M., Sengenès, C., Galitzky, J., Lafontan, M., Karpe, F., Frayn, K. N., et al. (2008) · Circulation · doi:10.1161/circulationaha.107.724096 · Cited by 373 · see citing works
Rosell, M., Kaforou, M., Frontini, A., Okolo, A., Chan, Y., Nikolopoulou, E., Millership, S. J., Fenech, M. E., MacIntyre, D. A., Turner, J. O., et al. (2014) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00473.2013 · Cited by 367 · see citing works
Boquest, A. C., Shahdadfar, A., Frønsdal, K. B., Sigurjónsson, Ó. E., Tunheim, S. H., Collas, P., & Brinchmann, J. E. (2005) · Molecular Biology of the Cell · doi:10.1091/mbc.e04-10-0949 · Cited by 334 · see citing works
FGF21 gene therapy as treatment for obesity and insulin resistance
Jiménez, V., Jambrina, C., Casana, E., Sacristan, V., MUÑOZ, S. A., Darriba, S., Rodó, J., Mallol, C., García, M., León, X., et al. (2018) · EMBO Molecular Medicine · doi:10.15252/emmm.201708791 · Cited by 318 · see citing works
Wang, Y., Quagliarini, F., Gusarova, V., Gromada, J., Valenzuela, D. M., Cohen, J. C., & Hobbs, H. H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1315292110 · Cited by 317 · see citing works
Innervation of mammalian white adipose tissue: implications for the regulation of total body fat
Bartness, T. J., & Bamshad, M. (1998) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.1998.275.5.r1399 · Cited by 285 · see citing works
Changes in energy expenditure with weight gain and weight loss in humans
Müller, M. J., Enderle, J., & Bosy-Westphal, A. (2016) · Current Obesity Reports · doi:10.1007/s13679-016-0237-4 · Cited by 267 · see citing works
Schlein, C., Talukdar, S., Heine, M., Fischer, A. W., Krott, L. M., Nilsson, S. K., Brenner, M. B., Heeren, J., & Scheja, L. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.01.006 · Cited by 252 · see citing works
The ANGPTL3-4-8 model, a molecular mechanism for triglyceride trafficking
Zhang, R. (2016) · Open Biology · doi:10.1098/rsob.150272 · Cited by 221 · see citing works
Central Fibroblast Growth Factor 21 Browns White Fat via Sympathetic Action in Male Mice
Douris, N., Stevanovic, D. M., Fisher, F. M., Cisu, T. I., Chee, M. J., Nguyen, N. L., Zarebidaki, E., Adams, A. C., Kharitonenkov, A., Flier, J. S., et al. (2015) · Endocrinology · doi:10.1210/en.2014-2001 · Cited by 215 · see citing works
Parkin is a lipid-responsive regulator of fat uptake in mice and mutant human cells
Kim, K., Stevens, M. V., Akter, M. H., Rusk, S. E., Huang, R. J., Cohen, A., Noguchi, A. C., Springer, D., Bocharov, A. V., Eggerman, T. L., et al. (2011) · Journal of Clinical Investigation · doi:10.1172/jci44736 · Cited by 210 · see citing works
Du, H., Heur, M., Duanmu, M., Grabowski, G. A., Hui, D. Y., Witte, D. P., & Mishra, J. (2001) · Journal of Lipid Research · doi:10.1016/s0022-2275(20)31157-3 · Cited by 189 · see citing works
Brown Adipose Tissue Exhibits a Glucose-Responsive Thermogenic Biorhythm in Humans
Lee, P. C., Bova, R., Schofield, L., Bryant, W., Dieckmann, W., Slattery, A., Govendir, M., Emmett, L., & Greenfield, J. R. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.02.007 · Cited by 179 · see citing works
A new rhesus macaque assembly and annotation for next-generation sequencing analyses
Zimin, A. V., Cornish, A. S., Maudhoo, M. D., Gibbs, R. M., Zhang, X., Pandey, S., Meehan, D. T., Wipfler, K., Bosinger, S. E., Johnson, Z. P., et al. (2014) · Biology Direct · doi:10.1186/1745-6150-9-20 · Cited by 177 · see citing works
Macrophages and Adipocytes in Human Obesity
Capel, F., Klimčáková, E., Viguerie, N., Roussel, B., Šiklová, M., Kováčiková, M., Polak, J., Kováčová, Z., Galitzky, J., Maoret, J.-J., et al. (2009) · Diabetes · doi:10.2337/db09-0033 · Cited by 175 · see citing works
Of mice and men – environmental temperature, body temperature, and treatment of obesity
Reitman, M. L. (2018) · FEBS Letters · doi:10.1002/1873-3468.13070 · Cited by 155 · see citing works
Huang, Z., Zhong, L., Lee, J. T. H., Zhang, J., Wu, D., Geng, L., Wang, Y., Wong, C.-M., & Xu, A. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.08.003 · Cited by 147 · see citing works
Tang, Y., Emtage, P. C. R., Funk, W. D., Hu, T., Arterburn, M., Park, E. E. J., & Rupp, F. (2003) · Genomics · doi:10.1016/j.ygeno.2003.10.006 · Cited by 129 · see citing works
Abe, Y., Rozqie, R., Matsumura, Y., Kawamura, T., Nakaki, R., Tsurutani, Y., Tanimura-Inagaki, K., Shiono, A., Magoori, K., Nakamura, K., et al. (2015) · Nature Communications · doi:10.1038/ncomms8052 · Cited by 115 · see citing works
Shivering in the cold: from mechanisms of fuel selection to survival
Haman, F. (2006) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01088.2005 · Cited by 110 · see citing works
Gao, H., Volat, F., Sandhow, L., Galitzky, J., Nguyen, T. A., Estève, D., Åström, G., Mejhert, N., Ledoux, S., Thalamas, C., et al. (2017) · Stem Cells · doi:10.1002/stem.2635 · Cited by 104 · see citing works
Johansson, L. E., Danielsson, A. P., Parikh, H. M., Klintenberg, M., Norström, F., Groop, L., & Ridderstråle, M. (2012) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.020578 · Cited by 103 · see citing works
Microarray analysis of differentiation-specific gene expression during 3T3-L1 adipogenesis
Burton, G. R., Nagarajan, R., Peterson, C. A., & McGehee, R. E. (2004) · Gene · doi:10.1016/j.gene.2003.12.012 · Cited by 99 · see citing works
IL-33-driven ILC2/eosinophil axis in fat is induced by sympathetic tone and suppressed by obesity
Ding, X., Luo, Y., Zhang, X., Zheng, H., Yang, X., Yang, X. O., & Liu, M. (2016) · Journal of Endocrinology · doi:10.1530/joe-16-0229 · Cited by 96 · see citing works
Wang, W., Li, T., Wang, X., Yuan, W., Cheng, Y., Zhang, H., Xu, E., Zhang, Y., Shi, S., Ma, D., et al. (2014) · Cellular and Molecular Immunology · doi:10.1038/cmi.2014.61 · Cited by 84 · see citing works
Adiponectin reduces thermogenesis by inhibiting brown adipose tissue activation in mice
Qiao, L., Yoo, H. S., Bosco, C., Lee, B., Feng, G., Schaack, J. B., Chi, N., & Shao, J. (2014) · Diabetologia · doi:10.1007/s00125-014-3180-5 · Cited by 83 · see citing works
The PGE2 EP3 Receptor Regulates Diet-Induced Adiposity in Male Mice
Ceddia, R. P., Lee, D., Maulis, M. F., Carboneau, L., Threadgill, D. W., Poffenberger, G., Milne, G. L., Boyd, K. L., Powers, A. C., McGuinness, O. P., et al. (2015) · Endocrinology · doi:10.1210/en.2015-1693 · Cited by 75 · see citing works
Revealing Targeted Therapy for Human Cancer by Gene Module Maps
Wong, D. J., Nuyten, D. S. A., Regev, A., Lin, M., Adler, A. S., Segal, E., van de Vijver, M. J., & Chang, H. Y. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-0382 · Cited by 72 · see citing works
Molecular biology for formyl peptide receptors in human diseases
Li, Y., & Ye, D. (2013) · Journal of Molecular Medicine · doi:10.1007/s00109-013-1005-5 · Cited by 67 · see citing works
Andersen, B., Straarup, E. M., Heppner, K. M., Takahashi, D. L., Raffaele, V., Dissen, G. A., Lewandowski, K., Bödvarsdottir, T. B., Raun, K., Grove, K. L., et al. (2018) · International Journal of Obesity · doi:10.1038/s41366-018-0080-7 · Cited by 66 · see citing works
Self-citationBAM-matcher: a tool for rapid NGS sample matching
Wang, P. P.-S., Parker, W. T., Branford, S., & SCHREIBER, A. W. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw239 · Cited by 64 · see citing works
Queiróz, G., Talaia, C., & Gonçalves, J. (2003) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.103.054809 · Cited by 60 · see citing works
Muise, E. S., Souza, S., Chi, A., Tan, Y., Zhao, X., Liu, F., Dallas-yang, Q., Wu, M., Sarr, T., Zhu, L., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073011 · Cited by 57 · see citing works
Regulation of adiponectin receptor R1 and R2 gene expression in adipocytes of C57BL/6 mice
Blüher, M., Faßhauer, M., Kralisch, S., Schön, M. R., Krohn, K., & Paschke, R. (2005) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2005.02.081 · Cited by 53 · see citing works
Thompson, W. C., Zhou, Y., Talukdar, S., & Musante, C. J. (2016) · Journal of Pharmacokinetics and Pharmacodynamics · doi:10.1007/s10928-016-9481-1 · Cited by 49 · see citing works
Duta-Mare, M., Sachdev, V., Leopold, C., Kolb, D., Vujić, N., Korbelius, M., Hofer, D., Xia, W., Huber, K., Auer, M., et al. (2018) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2018.01.011 · Cited by 38 · see citing works
Montastier, É., Vialaneix, N., Caspar‐Bauguil, S., Hlavatý, P., TVRZICKÁ, E., González, I., Saris, W. H. M., Langin, D., Kunešová, M., & Viguerie, N. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004047 · Cited by 36 · see citing works
Roumans, N. J. T., Vink, R., Fazelzadeh, P., van Baak, M. A., & Mariman, E. C. M. (2017) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.148874 · Cited by 36 · see citing works
Helminth antigens counteract a rapid high-fat diet-induced decrease in adipose tissue eosinophils
van den Berg, S. M., van Dam, A. D., Kusters, P. J. H., Beckers, L., den Toom, M., van der Velden, S., den Bossche, J. V., van Die, I., Boon, M. R., Rensen, P. C. N., et al. (2017) · Journal of Molecular Endocrinology · doi:10.1530/jme-17-0112 · Cited by 22 · see citing works
Mandelli, L., Wang, S., Han, C., Lee, S.-J., Patkar, A. A., Masand, P. S., Pae, C., & Serretti, A. (2017) · Advances in Therapy · doi:10.1007/s12325-017-0482-2 · Cited by 20 · see citing works
Šrámková, V., Rossmeislová, L., Krauzová, E., Kračmerová, J., Koc, M., Langin, D., Štich, V., & Šiklová, M. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2016-2161 · Cited by 19 · see citing works
Schlessinger, K., Li, W., Tan, Y., Liu, F., Souza, S. C., Tozzo, E., Liu, K., Thompson, J. R., Wang, L., & Muise, E. S. (2015) · Obesity · doi:10.1002/oby.21153 · Cited by 17 · see citing works
Zhang, X., Saarinen, A. M., Campbell, L. E., Filippis, E. A. D., & Liu, J. (2017) · Diabetes · doi:10.2337/db17-0862 · Cited by 17 · see citing works
Quintas, C., Fraga, S., Gonçalves, J., & Queiróz, G. (2009) · Neurochemistry International · doi:10.1016/j.neuint.2009.05.002 · Cited by 16 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Flippo, K. H., & Potthoff, M. J. (2021) · Nature Metabolism · doi:10.1038/s42255-021-00354-2 · Cited by 311 · see citing works
Aging is associated with a systemic length-associated transcriptome imbalance
Stoeger, T., Grant, R. A., McQuattie‐Pimentel, A. C., Anekalla, K. R., Liu, S. S., Navarro, H. T., Singer, B. D., Abdala‐Valencia, H., Schwake, M., Tétreault, M., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00317-6 · Cited by 120 · see citing works
Targeting FGF21 in cardiovascular and metabolic diseases: from mechanism to medicine
Tan, H., Tong, Y. A., Chen, Z., Wu, W., Xu, S., & Weng, J. (2022) · International Journal of Biological Sciences · doi:10.7150/ijbs.73936 · Cited by 119 · see citing works
Baruch, A., Wong, C., Chinn, L. W., Vaze, A., Sonoda, J., Gelzleichter, T., Chen, S., Lewin-Koh, N., Morrow, L., Dheerendra, S., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2012073117 · Cited by 95 · see citing works
Queen, N. J., Bates, R., Huang, W., Xiao, R., Appana, B., & Cao, L. (2020) · Molecular Therapy — Methods & Clinical Development · doi:10.1016/j.omtm.2020.12.011 · Cited by 35 · see citing works
The influence of diet on metabolism and health across the lifespan in nonhuman primates
Wood, E. K., & Sullivan, E. L. (2022) · Current Opinion in Endocrine and Metabolic Research · doi:10.1016/j.coemr.2022.100336 · Cited by 9 · see citing works
Sostre‐Colón, J., Gavin, M. J., Santoleri, D., & Titchenell, P. M. (2022) · Endocrinology · doi:10.1210/endocr/bqac035 · Cited by 7 · see citing works
Metabolic resilience is encoded in genome plasticityPreprint
Agudelo, L. Z., Tuyéras, R., Llinares, C., Morcuende, Á., Park, Y., Sun, N., Linna-Kuosmanen, S., Atabaki‐Pasdar, N., Ho, L., Galani, K., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.21203/rs.3.rs-716965/v1 · Cited by 5 · see citing works
Self-citationMaung, J. N., Chen, Y., Hoose, K. S., Adler, R. E., Hariri, H., Dickson, M. J., Hetrick, T. A., Ferguson, G. A., Schill, R. L., Mori, H., et al. (2025) · JCI Insight · doi:10.1172/jci.insight.194882 · Cited by 1 · see citing works
Бажан, Н. М., & En, M. (2023) · Успехи физиологических наук · doi:10.31857/s0301179823040033
Fujita, Y., Ishibuchi, T., Uematsu, A., Hayashi, T., & Obata, F. (2025) · Scientific Reports · doi:10.1038/s41598-025-16749-0
- Authors
- Murray, S. A., Dalbøge, L. S., Baquero, K., Sanford, C. A., Misquith, A., Mercer, A. J., Meek, T. H., Guldbrandt, M., Andersen, B., Kievit, P., Grove, K. L., & Kutlu, B.
- Affiliations
- Novo Nordisk (United States) (US)
- Gubra (Denmark) (DK)
- Novo Nordisk (Denmark) (DK)
- Oregon National Primate Research Center (US)
- Corresponding author
- Murray, Sara A.
- Kutlu, Burak
- ORCID
- Venue
- Scientific Reports
- Published
- 2020-04-29
- Volume
- 10
- Issue
- 1
- Pages
- 7287-7287
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC7190698
- OpenAlex
- W3022111741
- Cited by
- 12
- References
- 73
- Citations by year
- 2025: 3 · 2023: 1 · 2022: 4 · 2021: 2 · 2020: 2
- FWCI
- 0.73
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fibroblast Growth Factor Research
- Health Sciences › Medicine › Physiology › Adipose Tissue and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Peroxisome Proliferator-Activated Receptors
- Keywords
- FGF21, weight loss, subcutaneous adipose tissue, rhesus monkeys, energy expenditure, thermogenesis, triglyceride synthesis, adipogenesis, lipogenesis, innate immune cells, ANGPTL8, lipid metabolism, diet-induced obesity, nonhuman primate model
- MeSH terms
- Animals, Female, Fibroblast Growth Factors, Gene Expression Regulation, Humans, Macaca mulatta, Male, Weight Loss, Gene Expression Profiling, Subcutaneous Fat, Lipogenesis, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review