journal article·2026-04Open access

Caspase‐6 Controls Lipid and Energy Metabolism in Diet‐Induced Obesity

Abhishek Gupta, Wenjing You, Linmeng Han, Jianfei Ji, Meixia Pan, Xianlin Han, Xiaoli Sun, Peng Zhao

Advanced Science· Volume 13· Issue 21

Abstract

ABSTRACT Caspases are cysteine proteases that regulate programmed cell death. While caspase‐6, an executioner caspase, is known for its role in neurodegeneration and cell death, its broader physiological functions remain poorly understood. Our previous study revealed that caspase‐6 drives liver injury and fibrosis in metabolic dysfunction‐associate steatohepatitis. Here, we report that caspase‐6 deficiency protects against high fat diet‐induced obesity. Both global and adipocyte‐specific caspase‐6 knockout mice exhibit increased energy expenditure, reduced adiposity and inflammation, and improved glucose metabolism. Mechanistically, caspase‐6 directly cleaves peroxisome proliferator‐activated receptor gamma (PPARγ) and its cofactor specificity protein 1 (SP1), thereby suppressing adipose triglyceride lipase (ATGL) expression. Caspase‐6 deficiency restores ATGL, enhancing lipolysis and elevating fatty acyl esters of hydroxy fatty acids (FAHFAs), which alleviate inflammation and enhance insulin sensitivity. These findings uncover a novel Casp6‐PPARγ/SP1‐ATGL axis in adipose tissue and establish caspase‐6 as a potential therapeutic target for obesity and insulin resistance.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Cell death mechanisms and regulation · Adipokines, Inflammation, and Metabolic Diseases · Inflammasome and immune disorders

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Biochemistry and Structural Biology University of Texas Health Science Center San Antonio San Antonio Texas USA

Department of Pharmacology University of Texas Health Science Center San Antonio San Antonio Texas USA

Barshop Institute for Longevity and Aging Studies University of Texas Health Science Center San Antonio San Antonio Texas USA

Mays Cancer Center University of Texas Health Science Center San Antonio San Antonio Texas USA

Transplant Center University of Texas Health Science Center San Antonio San Antonio Texas USA

Funding

American Cancer Society · Cancer Prevention and Research Institute of Texas · National Institute of Diabetes and Digestive and Kidney Diseases · National Science Foundation

References (89)

Show source-provided references
1. 10.1101/cshperspect.a00865610.1101/cshperspect.a008656 ↗
2. 10.1146/annurev-pharmtox-010814-12441410.1146/annurev-pharmtox-010814-124414 ↗
3. 10.1126/science.aay054210.1126/science.aay0542 ↗
4. 10.1126/sciadv.adg623710.1126/sciadv.adg6237 ↗
5. 10.3390/diseases1302005510.3390/diseases13020055 ↗
6. 10.1038/s42255-018-0021-810.1038/s42255-018-0021-8 ↗
7. 10.1038/nrm239110.1038/nrm2391 ↗
8. 10.1038/nrendo.2017.9010.1038/nrendo.2017.90 ↗
9. 10.1038/nature0548310.1038/nature05483 ↗
10. 10.1016/j.cmet.2011.05.00210.1016/j.cmet.2011.05.002 ↗
11. 10.2337/db08-164410.2337/db08-1644 ↗
12. 10.1038/sj.embor.740055910.1038/sj.embor.7400559 ↗
13. 10.1038/s41586-022-04787-x10.1038/s41586-022-04787-x ↗
14. 10.1016/j.cell.2014.09.03510.1016/j.cell.2014.09.035 ↗
15. 10.1016/j.cmet.2018.01.00110.1016/j.cmet.2018.01.001 ↗
16. 10.1172/JCI12709210.1172/JCI127092 ↗
17. 10.1016/j.plipres.2020.10105310.1016/j.plipres.2020.101053 ↗
18. 10.1016/j.jnutbio.2022.10912710.1016/j.jnutbio.2022.109127 ↗
19. Adipose Triglyceride Lipase Regulation: An Overview
20. 10.1016/j.bbalip.2018.10.00810.1016/j.bbalip.2018.10.008 ↗
21. 10.1152/ajpendo.00122.200710.1152/ajpendo.00122.2007 ↗
22. 10.1111/j.1463-1326.2008.00916.x10.1111/j.1463-1326.2008.00916.x ↗
23. 10.1074/jbc.M117.78304310.1074/jbc.M117.783043 ↗
24. 10.1038/cr.2007.4810.1038/cr.2007.48 ↗
25. 10.1016/j.cell.2005.11.02610.1016/j.cell.2005.11.026 ↗
26. 10.1126/science.274.5295.210010.1126/science.274.5295.2100 ↗
27. 10.1172/JCI9870910.1172/JCI98709 ↗
28. 10.1016/j.cmet.2012.01.01910.1016/j.cmet.2012.01.019 ↗
29. 10.1016/j.cell.2012.06.02710.1016/j.cell.2012.06.027 ↗
30. 10.1016/0092-8674(94)90006-X10.1016/0092-8674(94)90006-X ↗
31. 10.1016/j.molmet.2020.10108610.1016/j.molmet.2020.101086 ↗
32. 10.1016/j.cmet.2014.08.00510.1016/j.cmet.2014.08.005 ↗
33. 10.2174/011573399825479823100509562710.2174/0115733998254798231005095627 ↗
34. 10.2337/dc12-019410.2337/dc12-0194 ↗
35. 10.1038/s41418-018-0111-x10.1038/s41418-018-0111-x ↗
36. 10.1074/jbc.M109.07425210.1074/jbc.M109.074252 ↗
37. 10.1016/j.celrep.2018.09.06910.1016/j.celrep.2018.09.069 ↗
38. 10.1074/jbc.M50400720010.1074/jbc.M504007200 ↗
39. 10.1097/ALN.0b013e3181799d4510.1097/ALN.0b013e3181799d45 ↗
40. 10.1016/j.cmet.2014.05.00510.1016/j.cmet.2014.05.005 ↗
41. 10.1038/s41467-019-10348-010.1038/s41467-019-10348-0 ↗
42. 10.1002/oby.2406410.1002/oby.24064 ↗
43. 10.1038/oby.2008.26910.1038/oby.2008.269 ↗
44. 10.1016/j.bbrc.2016.10.15210.1016/j.bbrc.2016.10.152 ↗
45. 10.1371/journal.pgen.003006410.1371/journal.pgen.0030064 ↗
46. 10.1155/2017/613910710.1155/2017/6139107 ↗
47. 10.3390/biom1201005710.3390/biom12010057 ↗
48. 10.1038/s42255-019-0066-310.1038/s42255-019-0066-3 ↗
49. 10.1126/science.112396510.1126/science.1123965 ↗
50. 10.1038/ng195110.1038/ng1951 ↗
51. 10.1093/nar/gkt111310.1093/nar/gkt1113 ↗
52. 10.1038/s41556-024-01386-y10.1038/s41556-024-01386-y ↗
53. 10.1038/s42255-022-00644-310.1038/s42255-022-00644-3 ↗
54. 10.1038/s42255-021-00493-610.1038/s42255-021-00493-6 ↗
55. 10.1016/j.metabol.2019.03.00310.1016/j.metabol.2019.03.003 ↗
56. 10.1073/pnas.253682810010.1073/pnas.2536828100 ↗
57. 10.1074/jbc.M112.36396010.1074/jbc.M112.363960 ↗
58. 10.1161/01.ATV.0000191663.12164.7710.1161/01.ATV.0000191663.12164.77 ↗
59. 10.1007/s11605-021-05216-610.1007/s11605-021-05216-6 ↗
60. 10.1038/4725410.1038/47254 ↗
61. 10.2337/db17-123610.2337/db17-1236 ↗
62. 10.1074/jbc.M80904220010.1074/jbc.M809042200 ↗
63. 10.1016/j.freeradbiomed.2016.06.02310.1016/j.freeradbiomed.2016.06.023 ↗
64. 10.1016/j.pharmthera.2020.10770510.1016/j.pharmthera.2020.107705 ↗
65. 10.1038/s41467-023-41304-810.1038/s41467-023-41304-8 ↗
66. 10.1016/j.cell.2012.09.01010.1016/j.cell.2012.09.010 ↗
67. 10.1152/physrev.00015.200310.1152/physrev.00015.2003 ↗
68. 10.1038/ng.328310.1038/ng.3283 ↗
69. 10.1074/jbc.273.50.3316610.1074/jbc.273.50.33166 ↗
70. 10.1158/0008-5472.CAN-06-291810.1158/0008-5472.CAN-06-2918 ↗
71. 10.1016/S0021-9258(17)40664-810.1016/S0021-9258(17)40664-8 ↗
72. 10.1021/bi00543a01410.1021/bi00543a014 ↗
73. 10.1016/j.freeradbiomed.2017.07.01610.1016/j.freeradbiomed.2017.07.016 ↗
74. 10.1007/978-1-4939-1258-2_1310.1007/978-1-4939-1258-2_13 ↗
75. 10.1002/mas.2149210.1002/mas.21492 ↗
76. 10.1016/j.aca.2020.01.02610.1016/j.aca.2020.01.026 ↗
77. 10.1006/abio.2001.517810.1006/abio.2001.5178 ↗
78. 10.1002/rcm.359510.1002/rcm.3595 ↗
79. 10.1016/j.plipres.2015.12.00210.1016/j.plipres.2015.12.002 ↗
80. 10.1021/ac900241u10.1021/ac900241u ↗
81. 10.1016/j.cmet.2019.10.01410.1016/j.cmet.2019.10.014 ↗
82. 10.1016/j.cmet.2016.11.00910.1016/j.cmet.2016.11.009 ↗
83. 10.1038/s44355-024-00015-710.1038/s44355-024-00015-7 ↗
84. 10.1172/jci.insight.15555210.1172/jci.insight.155552 ↗
85. 10.1093/bioinformatics/bts63510.1093/bioinformatics/bts635 ↗
86. 10.1186/s13059-014-0550-810.1186/s13059-014-0550-8 ↗
87. 10.1016/j.chom.2015.11.00210.1016/j.chom.2015.11.002 ↗
88. 10.1038/cdd.2013.18110.1038/cdd.2013.181 ↗
89. S. A.Degrelle H.Shoaito andT.Fournier (2017)New Transcriptional Reporters to Quantify and Monitor PPARγ Activity. PPAR Research 1–7 https://doi.org/10.1155/2017/6139107.10.1155/2017/6139107 ↗