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Preventing obesity, insulin resistance and type 2 diabetes by targeting MT1-MMP
Abstract
Obesity is one of the predominant risk factors for type 2 diabetes. Despite all the modern advances in medicine, an effective drug treatment for obesity without overt side effects has not yet been found. The discovery of growth and differentiation factor 15 (GDF15), an appetite-regulating hormone, created hopes for the treatment of obesity. However, an insufficient understanding of the physiological regulation of GDF15 has been a major obstacle to mitigating GDF15-centric treatment of obesity. Our recent studies revealed how a series of proteolytic events predominantly mediated by membrane-type 1 matrix metalloproteinase (MT1-MMP/MMP14), a key cell-surface metalloproteinase involved in extracellular remodeling, contribute to the pathogenesis of metabolic disorders, including obesity and diabetes. The MT1-MMP-mediated cleavage of the GDNF family receptor-α-like (GFRAL), a key neuronal receptor of GDF15, controls the satiety center in the hindbrain, thereby regulating non-homeostatic appetite and bodyweight changes. Furthermore, increased activation of MT1-MMP does not only lead to increased risk of obesity, but also causes age-associated insulin resistance by cleaving Insulin Receptor in major metabolic tissues. Importantly, inhibition of MT1-MMP effectively protects against obesity and diabetes, revealing the therapeutic potential of targeting MT1-MMP for the management of metabolic disorders.
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Physiologically, MMP14 cleaves a wide range of substrates, ranging from ECM to growth factor receptors, in a tissue-specific and contextual manner.
“Physiologically, MMP14 cleaves a wide range of substrates, ranging from ECM to growth factor receptors, in a tissue-specific and contextual manner13,14.”
From MT1-MMP inhibition rejuvenates ageing brain and rescues cognitive deficits in obesity (2025) · cites this paper as [13]
The specificity of the blocking antibody 3A2 has been well-characterized in previous studies.
“The specificity of this blocking antibody has been well-characterized in our previous studies, in which we showed that blocking the activity of MT1-MMP with this antibody effectively promotes body weight loss in obesity, improves metabolic functions in diabetes, and promotes viral clearance in SARS-CoV-2-infected mice13,15–17.”
From MT1-MMP inhibition rejuvenates ageing brain and rescues cognitive deficits in obesity (2025) · cites this paper as [13]
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Cites
Ong, K. L., Stafford, L. K., McLaughlin, S. A., Boyko, E. J., Vollset, S. E., Smith, A. E., Dalton, B. E., Duprey, J., Cruz, J. A., Hagins, H., et al. (2023) · The Lancet · doi:10.1016/s0140-6736(23)01301-6 · Cited by 4,681
Biochemical and Biological Attributes of Matrix Metalloproteinases
Cui, N., Hu, M., & Khalil, R. A. (2017) · Progress in Molecular Biology and Translational Science · doi:10.1016/bs.pmbts.2017.02.005 · Cited by 1,359
Human aging, muscle mass, and fiber type composition.
Evans, W. J., & Lexell, J. (1995) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/50a.special_issue.11 · Cited by 1,308
Ageing hallmarks exhibit organ-specific temporal signatures
Schaum, N., Lehallier, B., Hahn, O., Pálovics, R., Hosseinzadeh, S., Lee, S. E., Sit, R., Lee, D. P., Losada, P. M., Zardeneta, M. E., et al. (2020) · Nature · doi:10.1038/s41586-020-2499-y · Cited by 671
Non-Homeostatic Body Weight Regulation Through a Brainstem-Restricted Receptor for GDF15
Hsu, J.-Y., Crawley, S., Chen, M., Ayupova, D. A., Lindhout, D. A., Higbee, J., Kutach, A., Joo, W., Gao, Z., Fu, D., et al. (2017) · Nature · doi:10.1038/nature24042 · Cited by 616
GDF15 Provides an Endocrine Signal of Nutritional Stress in Mice and Humans
Patel, S., Alvarez-Guaita, A., Melvin, A., Rimmington, D., Dattilo, A., Miedzybrodzka, E. L., Cimino, I., Maurin, A.-C., Roberts, G. P., Meek, C. L., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2018.12.016 · Cited by 509
Samuel, V. T., Liu, Z.-X., Wang, A., Beddow, S. A., Geisler, J. G., Kahn, M., Zhang, X.-M., Monia, B. P., Bhanot, S., & Shulman, G. I. (2007) · Journal of Clinical Investigation · doi:10.1172/jci30400 · Cited by 497
Age and aerobic exercise training effects on whole body and muscle protein metabolism
Short, K. R., Vittone, J. L., Bigelow, M. L., Proctor, D. N., & Nair, K. S. (2004) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00366.2003 · Cited by 470
Age-related changes in glucose metabolism, hyperglycemia, and cardiovascular risk
Chia, C. W., Egan, J. M., & Ferrucci, L. (2018) · Circulation Research · doi:10.1161/circresaha.118.312806 · Cited by 454
Caro, J. F., Sinha, M. K., Raju, S. M., Ittoop, O., Pories, W. J., Flickinger, E. G., Meelheim, D., & Dohm, G. L. (1987) · Journal of Clinical Investigation · doi:10.1172/jci112958 · Cited by 341
Coen, P. M., Jubrias, S. A., Distefano, G., Amati, F., Mackey, D. C., Glynn, N. W., Manini, T. M., Wohlgemuth, S. E., Leeuwenburgh, C., Cummings, S. R., et al. (2013) · The Journals of Gerontology: Series A · doi:10.1093/gerona/gls196 · Cited by 323
Mechanism of increased risk of insulin resistance in aging skeletal muscle
Shou, J., Chen, P.-J., & Xiao, W.-H. (2020) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-020-0523-x · Cited by 283
Maquoi, E., Munaut, C., Colige, A., Collen, D., & Lijnen, H. R. (2002) · Diabetes · doi:10.2337/diabetes.51.4.1093 · Cited by 271
GDF15 induces anorexia through nausea and emesis
Borner, T., Shaulson, E. D., Ghidewon, M. Y., Barnett, A. B., Horn, C. C., Doyle, R. P., Grill, H. J., Hayes, M. R., & De Jonghe, B. C. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2019.12.004 · Cited by 255
Camporez, J.-P. G., Petersen, M. C., Abudukadier, A., Moreira, G. V., Jurczak, M. J., Friedman, G., Haqq, C. M., Petersen, K. F., & Shulman, G. I. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1525795113 · Cited by 184
Kempf, T., Guba-Quint, A., Torgerson, J., Magnone, M. C., Haefliger, C., Bobadilla, M., & Wollert, K. C. (2012) · European Journal of Endocrinology · doi:10.1530/eje-12-0466 · Cited by 176
Genetic Link Between Obesity and MMP14-Dependent Adipogenic Collagen Turnover
Chun, T.-H., Inoue, M., Morisaki, H., Yamanaka, I., Miyamoto, Y., Okamura, T., Sato-Kusubata, K., & Weiss, S. J. (2010) · Diabetes · doi:10.2337/db10-0073 · Cited by 97
Flagged first, then by citations
Research works printed but not linked: 71
- Mahase, 2023, Global cost of overweight and obesity will hit $4.32 tn a year by 2035, report warns, BMJ, 380, 523, 10.1136/bmj.p523 · DOI
- Xia, 2021, Prevalence and risk factors of type 2 diabetes and prediabetes among 53, 288 middle-aged and elderly adults in China: a cross-sectional study, Diabetes Metab. Syndr. Obes., 14, 1975, 10.2147/DMSO.S305919 · DOI
- Sinclair, 2020, Diabetes and global ageing among 65–99-year-old adults: findings from the International Diabetes Federation Diabetes Atlas, Diabetes Res. Clin. Pract., 162, 10.1016/j.diabres.2020.108078 · DOI
- Chakhtoura, 2023, Pharmacotherapy of obesity: an update on the available medications and drugs under investigation, EClinicalMedicine, 58, 10.1016/j.eclinm.2023.101882 · DOI · Paper page
- Muller, 2022, Anti-obesity drug discovery: advances and challenges, Nat. Rev. Drug Discov., 21, 201, 10.1038/s41573-021-00337-8 · DOI · Paper page
- Page-McCaw, 2007, Matrix metalloproteinases and the regulation of tissue remodelling, Nat. Rev. Mol. Cell Biol., 8, 221, 10.1038/nrm2125 · DOI · Paper page
- Nagase, 2006, Structure and function of matrix metalloproteinases and TIMPs, Cardiovasc. Res., 69, 562, 10.1016/j.cardiores.2005.12.002 · DOI
- Brew, 2000, Tissue inhibitors of metalloproteinases: evolution, structure and function, Biochim. Biophys. Acta, 1477, 267, 10.1016/S0167-4838(99)00279-4 · DOI
- Chavey, 2003, Matrix metalloproteinases are differentially expressed in adipose tissue during obesity and modulate adipocyte differentiation, J. Biol. Chem., 278, 11888, 10.1074/jbc.M209196200 · DOI
- Boumiza, 2021, MMPs and TIMPs levels are correlated with anthropometric parameters, blood pressure, and endothelial function in obesity, Sci. Rep., 11, 20052, 10.1038/s41598-021-99577-2 · DOI
- Derosa, 2008, Matrix metalloproteinase-2 and -9 levels in obese patients, Endothelium, 15, 219, 10.1080/10623320802228815 · DOI
- Huang, 2018, Matrix metalloproteinase-9 (MMP-9) as a cancer biomarker and MMP-9 biosensors: recent advances, Sensors, 18, 3249, 10.3390/s18103249 · DOI
- Kazantseva, 2013, MMP expression in rheumatoid inflammation: the rs11568818 polymorphism is associated with MMP-7 expression at an extra-articular site, Genes Immun., 14, 162, 10.1038/gene.2012.65 · DOI
- Laxton, 2009, A role of matrix metalloproteinase-8 in atherosclerosis, Circ. Res., 105, 921, 10.1161/CIRCRESAHA.109.200279 · DOI
- Islam, 2015, Elevated concentrations of serum matrix metalloproteinase-2 and -9 and their associations with circulating markers of cardiovascular diseases in chronic arsenic-exposed individuals, Environ. Health, 14, 92, 10.1186/s12940-015-0079-7 · DOI
- Zhou, 2000, Impaired endochondral ossification and angiogenesis in mice deficient in membrane-type matrix metalloproteinase I, Proc. Natl. Acad. Sci. U. S. A., 97, 4052, 10.1073/pnas.060037197 · DOI · Paper page
- Holmbeck, 1999, MT1-MMP-deficient mice develop dwarfism, osteopenia, arthritis, and connective tissue disease due to inadequate collagen turnover, Cell, 99, 81, 10.1016/S0092-8674(00)80064-1 · DOI · Paper page
- Gutierrez-Fernandez, 2015, Loss of MT1-MMP causes cell senescence and nuclear defects which can be reversed by retinoic acid, EMBO J., 34, 1875, 10.15252/embj.201490594 · DOI · Paper page
- Mori, 2016, New insight into the role of MMP14 in metabolic balance, PeerJ, 4, 10.7717/peerj.2142 · DOI
- Evans, 2012, Mutation of membrane type-1 metalloproteinase, MT1-MMP, causes the multicentric osteolysis and arthritis disease Winchester syndrome, Am. J. Hum. Genet., 91, 572, 10.1016/j.ajhg.2012.07.022 · DOI
- Lin, 2016, Adipose extracellular matrix remodelling in obesity and insulin resistance, Biochem. Pharmacol., 119, 8, 10.1016/j.bcp.2016.05.005 · DOI
- Chun, 2006, A pericellular collagenase directs the 3-dimensional development of white adipose tissue, Cell, 125, 577, 10.1016/j.cell.2006.02.050 · DOI · Paper page
- Li, 2020, Critical role of matrix metalloproteinase 14 in adipose tissue remodeling during obesity, Mol. Cell. Biol., 40, 10.1128/MCB.00564-19 · DOI
- Li, 2017, Activation of MMP-9 by membrane type-1 MMP/MMP-2 axis stimulates tumor metastasis, Cancer Sci., 108, 347, 10.1111/cas.13134 · DOI
- Sato, 1994, A matrix metalloproteinase expressed on the surface of invasive tumour cells, Nature, 370, 61, 10.1038/370061a0 · DOI
- Bouloumie, 2001, Adipocyte produces matrix metalloproteinases 2 and 9: involvement in adipose differentiation, Diabetes, 50, 2080, 10.2337/diabetes.50.9.2080 · DOI
- Wang, 2021, GDF15: emerging biology and therapeutic applications for obesity and cardiometabolic disease, Nat. Rev. Endocrinol., 17, 592, 10.1038/s41574-021-00529-7 · DOI
- Lockhart, 2020, GDF15: a hormone conveying somatic distress to the brain, Endocr. Rev., 41, 10.1210/endrev/bnaa007 · DOI · Paper page
- Tran, 2018, GDF15 deficiency promotes high fat diet-induced obesity in mice, PloS One, 13, 10.1371/journal.pone.0201584 · DOI
- Patel, 2022, Combined genetic deletion of GDF15 and FGF21 has modest effects on body weight, hepatic steatosis and insulin resistance in high fat fed mice, Mol. Metab., 65, 10.1016/j.molmet.2022.101589 · DOI
- Mullican, 2017, GFRAL is the receptor for GDF15 and the ligand promotes weight loss in mice and nonhuman primates, Nat. Med., 23, 1150, 10.1038/nm.4392 · DOI · Paper page
- Wang, 2023, GDF15 promotes weight loss by enhancing energy expenditure in muscle, Nature, 619, 143, 10.1038/s41586-023-06249-4 · DOI
- Emmerson, 2017, The metabolic effects of GDF15 are mediated by the orphan receptor GFRAL, Nat. Med., 23, 1215, 10.1038/nm.4393 · DOI · Paper page
- Mullican, 2017, GFRAL is the receptor for GDF15 and the ligand promotes weight loss in mice and nonhuman primates, Nat. Med., 23, 1150, 10.1038/nm.4392 · DOI · Paper page
- Sabatini, 2021, GFRAL-expressing neurons suppress food intake via aversive pathways, Proc. Natl. Acad. Sci. U. S. A., 118, 10.1073/pnas.2021357118 · DOI
- Yang, 2017, GFRAL is the receptor for GDF15 and is required for the anti-obesity effects of the ligand, Nat. Med., 23, 1158, 10.1038/nm.4394 · DOI · Paper page
- Sarkar, 2020, Serum GDF15, a promising biomarker in obese patients undergoing heart surgery, Front. Cardiovasc. Med., 7, 103, 10.3389/fcvm.2020.00103 · DOI
- Chow, 2022, Body weight regulation via MT1-MMP-mediated cleavage of GFRAL, Nat. Metab., 4, 203, 10.1038/s42255-022-00529-5 · DOI · Paper page
- White, 1998, The IRS-signalling system: a network of docking proteins that mediate insulin action, Mol. Cell. Biochem., 182, 3, 10.1023/A:1006806722619 · DOI
- Goodpaster, 2006, The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study, J. Gerontol. A Biol. Sci. Med. Sci., 61, 1059, 10.1093/gerona/61.10.1059 · DOI · Paper page
- Short, 2005, Decline in skeletal muscle mitochondrial function with aging in humans, Proc. Natl. Acad. Sci. U. S. A., 102, 5618, 10.1073/pnas.0501559102 · DOI · Paper page
- D.N. Proctor, M.J. Joyner, Skeletal muscle mass and the reduction of VO2max in trained older subjects, J. Appl. Physiol. (1985) 82(5) (1997) 1411–5. · DOI
- Westermeier, 2015, Defective insulin signaling and mitochondrial dynamics in diabetic cardiomyopathy, Biochim. Biophys. Acta, 1853, 1113, 10.1016/j.bbamcr.2015.02.005 · DOI
- Cheng, 2010, Insulin signaling meets mitochondria in metabolism, Trends Endocrinol. Metab., 21, 589, 10.1016/j.tem.2010.06.005 · DOI
- Wagatsuma, 2012, Molecular mechanisms for age-associated mitochondrial deficiency in skeletal muscle, J. Aging Res., 2012, 10.1155/2012/768304 · DOI
- Petersen, 2003, Mitochondrial dysfunction in the elderly: possible role in insulin resistance, Science, 300, 1140, 10.1126/science.1082889 · DOI · Paper page
- Yip, 2010, PTP1B: a double agent in metabolism and oncogenesis, Trends Biochem. Sci., 35, 442, 10.1016/j.tibs.2010.03.004 · DOI
- Hirata, 2003, Modulation of IR/PTP1B interaction and downstream signaling in insulin sensitive tissues of MSG-rats, Life Sci., 73, 1369, 10.1016/S0024-3205(03)00477-6 · DOI
- Guadalupe-Grau, 2014, Influence of age on leptin induced skeletal muscle signalling, Acta Physiol (Oxf.), 211, 214, 10.1111/apha.12273 · DOI
- Werner, 2004, Insulin resistance due to phosphorylation of insulin receptor substrate-1 at serine 302, J. Biol. Chem., 279, 35298, 10.1074/jbc.M405203200 · DOI
- Gupte, 2008, Age-related differences in skeletal muscle insulin signaling: the role of stress kinases and heat shock proteins, J. Appl. Physiol., 105, 839, 10.1152/japplphysiol.00148.2008 · DOI
- Serrano, 2009, The effect of aging on insulin signalling pathway is tissue dependent: central role of adipose tissue in the insulin resistance of aging, Mech. Ageing Dev., 130, 189, 10.1016/j.mad.2008.11.005 · DOI
- Yu, 2020, Sample multiplexing for targeted pathway proteomics in aging mice, Proc. Natl. Acad. Sci. U. S. A., 117, 9723, 10.1073/pnas.1919410117 · DOI
- Minamino, 2009, A crucial role for adipose tissue p53 in the regulation of insulin resistance, Nat. Med., 15, 1082, 10.1038/nm.2014 · DOI · Paper page
- Gardner, 2005, Rise in insulin resistance is associated with escalated telomere attrition, Circulation, 111, 2171, 10.1161/01.CIR.0000163550.70487.0B · DOI
- Bergman, 2019, Hypothesis: role of reduced hepatic insulin clearance in the pathogenesis of type 2 diabetes, Diabetes, 68, 1709, 10.2337/db19-0098 · DOI
- Jiang, 2008, Hypermethylation of hepatic Gck promoter in ageing rats contributes to diabetogenic potential, Diabetologia, 51, 1525, 10.1007/s00125-008-1034-8 · DOI
- Kim, 2019, FoxO6-mediated IL-1beta induces hepatic insulin resistance and age-related inflammation via the TF/PAR2 pathway in aging and diabetic mice, Redox Biol., 24, 10.1016/j.redox.2019.101184 · DOI
- Frojdo, 2009, Alterations of insulin signaling in type 2 diabetes: a review of the current evidence from humans, Biochim. Biophys. Acta, 1792, 83, 10.1016/j.bbadis.2008.10.019 · DOI
- Olefsky, 1982, Insulin action and resistance in obesity and noninsulin-dependent type II diabetes mellitus, Am. J. Physiol., 243, E15
- Soluble Insulin Receptor Study Group, 2007, Soluble insulin receptor ectodomain is elevated in the plasma of patients with diabetes, Diabetes, 56, 2028, 10.2337/db07-0394 · DOI
- El Mesallamy, 2014, The serine protease granzyme B as an inflammatory marker, in relation to the insulin receptor cleavage in human obesity and type 2 diabetes mellitus, J. Interferon Cytokine Res., 34, 179, 10.1089/jir.2013.0059 · DOI
- Meakin, 2018, The beta secretase BACE1 regulates the expression of insulin receptor in the liver, Nat. Commun., 9, 1306, 10.1038/s41467-018-03755-2 · DOI · Paper page
- Maesako, 2011, Effect of glycogen synthase kinase 3 beta-mediated presenilin 1 phosphorylation on amyloid beta production is negatively regulated by insulin receptor cleavage, Neuroscience, 177, 298, 10.1016/j.neuroscience.2010.12.017 · DOI
- Yuasa, 2016, Sequential cleavage of insulin receptor by calpain 2 and gamma-secretase impairs insulin signalling, Diabetologia, 59, 2711, 10.1007/s00125-016-4102-5 · DOI
- Guo, 2022, Regulation of age-associated insulin resistance by MT1-MMP-mediated cleavage of insulin receptor, Nat. Commun., 13, 3749, 10.1038/s41467-022-31563-2 · DOI · Paper page
- Hui, 2016, Oxidative changes and signalling pathways are pivotal in initiating age-related changes in articular cartilage, Ann. Rheum. Dis., 75, 449, 10.1136/annrheumdis-2014-206295 · DOI
- McNulty, 2005, Aging is associated with increased matrix metalloproteinase-2 activity in the human aorta, Am. J. Hypertens., 18, 504, 10.1016/j.amjhyper.2004.11.011 · DOI
- Fisher, 2009, Collagen fragmentation promotes oxidative stress and elevates matrix metalloproteinase-1 in fibroblasts in aged human skin, Am. J. Pathol., 174, 101, 10.2353/ajpath.2009.080599 · DOI · Paper page
- Benichou, 2023, Discovery, development, and clinical proof of mechanism of LY3463251, a long-acting GDF15 receptor agonist, Cell Metab., 35, 274, 10.1016/j.cmet.2022.12.011 · DOI · Paper page
- Borner, 2020, GDF15 induces an aversive visceral malaise state that drives anorexia and weight loss, Cell Rep., 31, 10.1016/j.celrep.2020.107543 · DOI
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MT1-MMP inhibition rejuvenates ageing brain and rescues cognitive deficits in obesity
Asthana, P., Li, L., Lu, L., Wu, J., Zhang, S., Li, N., Wong, S. K. K., Gurung, S., Zhang, Y., Lin, Y., et al. (2025) · Cell Discovery · doi:10.1038/s41421-025-00825-w · Cited by 4
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- Authors
- Asthana, P., & Wong, H. L. X.
- Venue
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
- Publisher
- Elsevier BV
- Published
- 2024-04
- Volume
- 1870
- Issue
- 4
- Pages
- 167081
- ISSN
- 0925-4439
- Cited by
- 13
- References
- 17
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 365 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Funders
- National Natural Science Foundation of China (32322091)
- University Grants Committee
- Innovation and Technology Commission
- Health and Medical Research Fund (08793626)
- Innovation and Technology Fund (ITS/058/22MS)
- General Research Fund of Shanghai Normal University (12102020, 22104123)
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