Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

A BCL-xL/BCL-2 PROTAC effectively clears senescent cells in the liver and reduces MASH-driven hepatocellular carcinoma in mice

Abstract

Accumulation of senescent cells (SnCs) plays a causative role in many age-related diseases and has also been implicated in the pathogenesis and progression of metabolic dysfunction-associated steatotic liver disease (MASLD). Senolytics that can selectively kill SnCs have the potential to be developed as therapeutics for these diseases. Here we report the finding that 753b, a dual BCL-xL/BCL-2 proteolysis-targeting chimera (PROTAC), acts as a potent and liver-tropic senolytic. We found that treatment with 753b selectively reduced SnCs in the liver in aged mice and STAM mice in part due to its sequestration in the liver. Moreover, 753b treatment could effectively reduce the progression of MASLD and the development of hepatocellular carcinoma (HCC) in STAM mice even after the mice developed substantial metabolic dysfunction-associated steatohepatitis (MASH) and hepatic fibrosis. These findings suggest that BCL-xL/BCL-2 PROTACs have the potential to be developed as therapeutics for MASLD to reduce MASH-driven HCC.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: 753b is a potent and broad-spectrum senolytic agent in vitro.
Fig. 2: 753b effectively reduces senescence burden in naturally aged mice in a tissue-specific manner.
Fig. 3: 753b is a more potent senolytic than ABT263 against senescent murine hepatocytes.
Fig. 4: 753b reduces hepatic cellular senescence, steatosis, fibrosis and injury in STAM mice.
Fig. 5: 753b administration reduces tumorigenesis in STAM mice.
Fig. 6: Early treatment (P45–P90) with 753b has no effect on hepatic cellular senescence, steatosis, fibrosis and injury and on HCC development in STAM mice.
Fig. 7: Delayed treatment (P90–P150) with 753b reduces hepatic cellular senescence, steatosis, fibrosis and injury and inhibits HCC development in STAM mice.
Fig. 8: 753b dose not inhibt HCC progression.

Similar content being viewed by others

Data availability

Source Data and Supplementary Information are provided with this paper. All other data are available from the corresponding authors upon reasonable request.

References

  1. Di Micco, R., Krizhanovsky, V., Baker, D. & d’Adda di Fagagna, F. Cellular senescence in ageing: from mechanisms to therapeutic opportunities. Nat. Rev. Mol. Cell Biol. 22, 75–95 (2021).

    Article  PubMed  Google Scholar 

  2. Gorgoulis, V. et al. Cellular senescence: defining a path forward. Cell 179, 813–827 (2019).

    Article  CAS  PubMed  Google Scholar 

  3. Pouwels, S. et al. Non-alcoholic fatty liver disease (NAFLD): a review of pathophysiology, clinical management and effects of weight loss. BMC Endocr. Disord. 22, 63 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Riazi, K. et al. The prevalence and incidence of NAFLD worldwide: a systematic review and meta-analysis. Lancet Gastroenterol. Hepatol. 7, 851–861 (2022).

    Article  CAS  PubMed  Google Scholar 

  5. Ahmed, A., Wong, R. J. & Harrison, S. A. Nonalcoholic fatty liver disease review: diagnosis, treatment, and outcomes. Clin. Gastroenterol. Hepatol. 13, 2062–2070 (2015).

    Article  PubMed  Google Scholar 

  6. Fraile, J. M., Palliyil, S., Barelle, C., Porter, A. J. & Kovaleva, M. Non-alcoholic steatohepatitis (NASH)—a review of a crowded clinical landscape, driven by a complex disease. Drug Des. Devel. Ther. 15, 3997–4009 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  7. Harrison, S. A. et al. A phase 3, randomized, controlled trial of resmetirom in NASH with liver fibrosis. N. Engl. J. Med. 390, 497–509 (2024).

    Article  PubMed  Google Scholar 

  8. Ogrodnik, M. et al. Cellular senescence drives age-dependent hepatic steatosis. Nat. Commun. 8, 15691 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Meijnikman, A. S. et al. Evaluating causality of cellular senescence in non-alcoholic fatty liver disease. JHEP Rep. 3, 100301 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  10. Papatheodoridi, A. M., Chrysavgis, L., Koutsilieris, M. & Chatzigeorgiou, A. The role of senescence in the development of nonalcoholic fatty liver disease and progression to nonalcoholic steatohepatitis. Hepatology 71, 363–374 (2020).

    Article  CAS  PubMed  Google Scholar 

  11. He, Y. et al. Using proteolysis-targeting chimera technology to reduce navitoclax platelet toxicity and improve its senolytic activity. Nat. Commun. 11, 1996 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. He, Y., Zheng, G. & Zhou, D. Senolytic drug development. In Senolytics in Disease, Ageing and Longevity (eds Muñoz-Espin, D. & Demaria, M.) 3–20 (Springer, 2020).

  13. Robbins, P. D. et al. Senolytic drugs: reducing senescent cell viability to extend health span. Annu. Rev. Pharmacol. Toxicol. 61, 779–803 (2021).

    Article  CAS  PubMed  Google Scholar 

  14. Chang, J. et al. Clearance of senescent cells by ABT263 rejuvenates aged hematopoietic stem cells in mice. Nat. Med. 22, 78–83 (2016).

    Article  CAS  PubMed  Google Scholar 

  15. Jeon, O. H. et al. Local clearance of senescent cells attenuates the development of post-traumatic osteoarthritis and creates a pro-regenerative environment. Nat. Med. 23, 775–781 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Zhu, Y. et al. Identification of a novel senolytic agent, navitoclax, targeting the Bcl-2 family of anti-apoptotic factors. Aging Cell 15, 428–435 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Childs, B. G. et al. Senescent intimal foam cells are deleterious at all stages of atherosclerosis. Science 354, 472–477 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Bussian, T. J. et al. Clearance of senescent glial cells prevents tau-dependent pathology and cognitive decline. Nature 562, 578–582 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Pan, J. et al. Inhibition of Bcl-2/xl with ABT-263 selectively kills senescent type II pneumocytes and reverses persistent pulmonary fibrosis induced by ionizing radiation in mice. Int. J. Radiat. Oncol. Biol. Phys. 99, 353–361 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Yosef, R. et al. Directed elimination of senescent cells by inhibition of BCL-W and BCL-XL. Nat. Commun. 7, 11190 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Ovadya, Y. et al. Impaired immune surveillance accelerates accumulation of senescent cells and aging. Nat. Commun. 9, 5435 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Kolodkin-Gal, D. et al. Senolytic elimination of Cox2-expressing senescent cells inhibits the growth of premalignant pancreatic lesions. Gut 71, 345–355 (2022).

    Article  CAS  PubMed  Google Scholar 

  23. Rachmian, N. et al. Identification of senescent, TREM2-expressing microglia in aging and Alzheimer’s disease model mouse brain. Nat. Neurosci. 27, 1116–1124 (2024).

    Article  CAS  PubMed  Google Scholar 

  24. Ashkenazi, A., Fairbrother, W. J., Leverson, J. D. & Souers, A. J. From basic apoptosis discoveries to advanced selective BCL-2 family inhibitors. Nat. Rev. Drug Discov. 16, 273–284 (2017).

    Article  CAS  PubMed  Google Scholar 

  25. Gandhi, L. et al. Phase I study of navitoclax (ABT-263), a novel Bcl-2 family inhibitor, in patients with small-cell lung cancer and other solid tumors. J. Clin. Oncol. 29, 909–916 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Souers, A. J. et al. ABT-199, a potent and selective BCL-2 inhibitor, achieves antitumor activity while sparing platelets. Nat. Med. 19, 202–208 (2013).

    Article  CAS  PubMed  Google Scholar 

  27. Leverson, J. D. et al. Exploiting selective BCL-2 family inhibitors to dissect cell survival dependencies and define improved strategies for cancer therapy. Sci. Transl. Med. 7, 279ra40 (2015).

    Article  PubMed  Google Scholar 

  28. Lv, D. et al. Development of a BCL-xL and BCL-2 dual degrader with improved anti-leukemic activity. Nat. Commun. 12, 6896 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Fujii, M. et al. A murine model for non-alcoholic steatohepatitis showing evidence of association between diabetes and hepatocellular carcinoma. Med. Mol. Morphol. 46, 141–152 (2013).

    Article  CAS  PubMed  Google Scholar 

  30. Takakura, K. et al. Characterization of non-alcoholic steatohepatitis-derived hepatocellular carcinoma as a human stratification model in mice. Anticancer Res. 34, 4849–4856 (2014).

    PubMed  Google Scholar 

  31. Zhu, Y. et al. The Achilles’ heel of senescent cells: from transcriptome to senolytic drugs. Aging Cell 14, 644–658 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Krizhanovsky, V. et al. Senescence of activated stellate cells limits liver fibrosis. Cell 134, 657–667 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Yu, H. et al. Lipid accumulation-induced hepatocyte senescence regulates the activation of hepatic stellate cells through the Nrf2-antioxidant response element pathway. Exp. Cell. Res. 405, 112689 (2021).

    Article  CAS  PubMed  Google Scholar 

  34. Saeed, W. K. & Jun, D. W. Necroptosis: an emerging type of cell death in liver diseases. World J. Gastroenterol. 20, 12526–12532 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Krenkel, O. et al. Therapeutic inhibition of inflammatory monocyte recruitment reduces steatohepatitis and liver fibrosis. Hepatology 67, 1270–1283 (2018).

    Article  CAS  PubMed  Google Scholar 

  36. Mohammed, S. et al. Necroptosis contributes to chronic inflammation and fibrosis in aging liver. Aging Cell 20, e13512 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Guo, R. et al. Loss of MLKL ameliorates liver fibrosis by inhibiting hepatocyte necroptosis and hepatic stellate cell activation. Theranostics 12, 5220–5236 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Thadathil, N. et al. Senolytic treatment reduces cell senescence and necroptosis in Sod1 knockout mice that is associated with reduced inflammation and hepatocellular carcinoma. Aging Cell 21, e13676 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Slomp, A. & Peperzak, V. Role and regulation of pro-survival BCL-2 proteins in multiple myeloma. Front. Oncol. 8, 533 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  40. Jackson, M. R. et al. Mesothelioma cells depend on the antiapoptotic protein Bcl-xL for survival and are sensitized to ionizing radiation by BH3-mimetics. Int. J. Radiat. Oncol. Biol. Phys. 106, 867–877 (2020).

    Article  CAS  PubMed  Google Scholar 

  41. Chen, X. & Calvisi, D. F. Hydrodynamic transfection for generation of novel mouse models for liver cancer research. Am. J. Pathol. 184, 912–923 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. He, S. & Sharpless, N. E. Senescence in health and disease. Cell 169, 1000–1011 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Muñoz-Espín, D. & Serrano, M. Cellular senescence: from physiology to pathology. Nat. Rev. Mol. Cell Biol. 15, 482–496 (2014).

    Article  PubMed  Google Scholar 

  44. Muñoz-Espín, D. et al. Programmed cell senescence during mammalian embryonic development. Cell 155, 1104–1118 (2013).

    Article  PubMed  Google Scholar 

  45. Storer, M. et al. Senescence is a developmental mechanism that contributes to embryonic growth and patterning. Cell 155, 1119–1130 (2013).

    Article  CAS  PubMed  Google Scholar 

  46. Demaria, M. et al. An essential role for senescent cells in optimal wound healing through secretion of PDGF-AA. Dev. Cell 31, 722–733 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Reyes, N. S. et al. Sentinel p16INK4a+ cells in the basement membrane form a reparative niche in the lung. Science 378, 192–201 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Helman, A. et al. p16Ink4a-induced senescence of pancreatic beta cells enhances insulin secretion. Nat. Med. 22, 412–420 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Yoshimoto, S. et al. Obesity-induced gut microbial metabolite promotes liver cancer through senescence secretome. Nature 499, 97–101 (2013).

    Article  CAS  PubMed  Google Scholar 

  50. Sasaki, M. et al. Bile ductular cells undergoing cellular senescence increase in chronic liver diseases along with fibrous progression. Am. J. Clin. Pathol. 133, 212–223 (2010).

    Article  PubMed  Google Scholar 

  51. Grosse, L. & Bulavin, D. V. LSEC model of aging. Aging 12, 11152–11160 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Yosef, R. et al. p21 maintains senescent cell viability under persistent DNA damage response by restraining JNK and caspase signaling. EMBO J. 36, 2280–2295 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Wan, Y. et al. Endothelial dysfunction in pathological processes of chronic liver disease during aging. FASEB J. 36, e22125 (2022).

    Article  CAS  PubMed  Google Scholar 

  54. Raffaele, M. et al. Mild exacerbation of obesity- and age-dependent liver disease progression by senolytic cocktail dasatinib + quercetin. Cell Commun. Signal. 19, 44 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Li, F. et al. FBP1 loss disrupts liver metabolism and promotes tumorigenesis through a hepatic stellate cell senescence secretome. Nat. Cell Biol. 22, 728–739 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  56. Zhang, M. et al. Hepatic stellate cell senescence in liver fibrosis: characteristics, mechanisms and perspectives. Mech. Ageing Dev. 199, 111572 (2021).

    Article  CAS  PubMed  Google Scholar 

  57. Li, W., He, Y., Zhang, R., Zheng, G. & Zhou, D. The curcumin analog EF24 is a novel senolytic agent. Aging 11, 771–782 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. He, Y. et al. Inhibition of USP7 activity selectively eliminates senescent cells in part via restoration of p53 activity. Aging Cell 19, e13117 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Tripathi, M., Yen, P. M. & Singh, B. K. Protocol to generate senescent cells from the mouse hepatic cell line AML12 to study hepatic aging. STAR Protoc. 1, 100064 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  60. Tao, J. et al. Modeling a human hepatocellular carcinoma subset in mice through coexpression of met and point-mutant β-catenin. Hepatology 64, 1587–1605 (2016).

    Article  CAS  PubMed  Google Scholar 

  61. Khan, S. et al. A selective BCL-XL PROTAC degrader achieves safe and potent antitumor activity. Nat. Med. 25, 1938–1947 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Idelfonso-García, O. G. et al. Protocol to detect senescence-associated β-galactosidase and immunoperoxidase activity in fresh-frozen murine tissues. STAR Protoc. 5, 103009 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  63. Quintas Coentro, J. et al. Collagen quantification in tissue specimens. In Fibrosis: Methods and Protocols (ed Rittié, L.) 341–350 (Springer, 2017).

Download references

Acknowledgements

This work was supported by US National Institutes of Health (NIH) grants R01 AG063801 (G.Z. and D.Z.), R01 CA242003 (G.Z. and D.Z.), K01 AA024174 (L.P.) and R01 AA028035 (L.P.) as well as a Children’s Miracle Research Foundation grant awarded to L.P. This research used resources of the Mays Cancer Center Drug Discovery and Structural Biology Shared Resource (NIH P30 CA054174), the Center for Innovative Drug Discovery (CPRIT Core Facility Award RP210208 and NIST Award 60NANB24D117) and the San Antonio Nathan Shock Center (NIH P30 AG013319). We also thank M. Zeeshan for help with senolytic testing in PACs and S. Khan and D. Lyu for their assistance with some of these studies. The experiment involving HTVi of oncogene expression plasmids was assisted by M. McLaughlin and B. Barre.

Author information

Authors and Affiliations

Authors

Contributions

L.P. and D.Z. made equal contributions to developing concepts and strategies in this study. Methodologies and techniques used in this study were mainly carried out by Y.Y., N.J.-S., Y.H., C.S., T.T., S.B. and L.P. Additional MRI for liver cancer imaging was performed by C.S., H.Z. and L.P. Synthesis and characterization of 753b was done by P.Z. and W.H., under the supervision of G.Z. Characterization of 753b senolytic activity in vitro and in naturally aged mice was done by Y.Y. and Y.H., under the supervision of D.Z. The STAM mouse model studies were done by N.J.-S., C.S., T.T. and S.B., under the supervision of L.P., and Y.Y. contributed to some of the analyses of hepatic senescence and fibrosis, under the supervision of D.Z. HTVi-induced HCC mouse model study was done by A.S.H., under the supervision of L.-Z.S. Writing of the original draft was performed by Y.Y., Y.H., L.P. and D.Z. X.-M.Y. and R.H. were involved in experimental design and data interpretation. Review and editing of the paper was performed by all authors.

Corresponding authors

Correspondence to Liya Pi or Daohong Zhou.

Ethics declarations

Competing interests

Y.Y., Y.H., P.Z., W.H., G.Z., L.P. and D.Z. are inventors on patents for the use of BCL-xL PROTACs as anti-tumor agents and senolytics. R.H., G.Z. and D.Z. are cofounders of and have equity in Dialectic Therapeutics, which develops BCL-xL/2 PROTACs to treat cancer. The other authors declare no competing interests.

Peer review

Peer review information

Nature Aging thanks Thomas Bird and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 Evaluation of 753b-induced degradation of the BCL-2 family proteins in WI-38 cells and 753b senolytic activity against renal epithelial cells (RECs), human umbilical vein endothelial cells (HUVECs), and preadipocytes (PACs) in vitro.

A. Representative western blotting images of the levels of BCL-xL, BCL-2, BCL-w, MCL-1, and von Hippel-Lindau (VHL) in NC WI-38 cells after they were treated with increasing concentrations of 753b in a cell culture for 24 h. B. Densitometric analyses of BCL-xL, BCL-2, BCL-w, and MCL-1 expression in NC WI-38 cells from A are presented. DC50, drug concentration causing 50% degradation of protein of interest; Dmax, the maximum level of degradation of protein of interest. C. The levels of VHL, BCL-xL, BCL-2, BCL-w, and MCL-1 in NC and IR-SnC WI-38 cells and human platelets (PLTs) from three donors (P1-3) were detected by western blotting. Similar results from NC and IR-SnC WI-38 cells were observed in a separate assay. D-E. Cell viability analyses show that 753b is more potent than ABT263 against IR-SnC and REP-SnC REC (D) and HUVEC (E) but less toxic to their non-senescent counterparts. The viability of NC, IR-SnC and REP-SnC REC and HUVEC was determined 72 h after treatment with increasing concentrations of ABT263 and 753b. EC50, half-maximal effective concentration. The data presented are mean ± SD (n = 6 technical replicates) of a representative assay. EC50, half-maximal effective concentration. F & G. Cell viability analyses show that 753b is not senolytic, but dasatinib and quercetin (D + Q) are, against IR-SnC PAC. The viability of IR-SnC PAC was determined 72 h after treatment with increasing concentrations of ABT263 and 753b (F), or with vehicle (VEH), low D + Q (1 μM D plus 20 μM Q) and high D + Q (10 μM D plus 200 μM Q) (G). The data presented are mean ± SD (n = 3 technical replicates) of a representative assay. β-actin was used as a loading control in A and C.

Source data

Extended Data Fig. 2 753b has no effect on the levels of Cdkn2a expression in the lung, kidney and fat tissues but reduces hepatic expression of SASP factors in naturally aged mice.

A. The levels of Cdkn2a mRNA in the lung, kidney and inguinal fat from untreated young mice and naturally aged mice treated with VEH and 753b. B. The levels of Cxcl12, Ccl5, Ccl2, Cxcl10, Mmp3, Mmp13, Il6, Il1a, Tnfa, and Tnfsf11 in the liver tissue from untreated young mice and naturally aged mice treated with VEH and 753b. The data are presented as means ± SEM (n = 7, 6, and 7 mice per group for young mice, VEH- and 753b-treated aged mice, respectively) and were analyzed by one-way ANOVAs with Šídák’s multiple comparisons test or Tukey’s multiple comparisons test.

Source data

Extended Data Fig. 3 753b reduces splenic expression of SASP factors in naturally aged mice.

The levels of Il1b, Serpine1, Mmp3, Mmp13, Cxcl12, Ccl5, Ccl2, Cxcl10, Il6, Il1a, Tnfa, and Tnfsf11 in the spleens from untreated young mice and naturally aged mice treated with VEH and 753b. The data are presented as means ± SEM (n = 8, 6, and 7 mice per group for young mice, VEH- and 753b-treated aged mice, respectively) and were analyzed by one-way ANOVAs with Šídák’s multiple comparisons test or Tukey’s multiple comparisons test.

Source data

Extended Data Fig. 4 Characterization of SnCs in the liver from STAM mice and additional evaluations of 753b treatment on STAM mice.

A. A cartoon indicates distribution of zone 1, 2, and 3 hepatocytes in liver lobules along with blood flow across the periportal to pericentral axis. Periportal hepatocytes are in zone 1 that consists of portal veins, hepatic arteries, and bile ducts. B-C. SA-β-gal staining was combined with immunohistochemistry to characterize types of SnCs in the livers from STAM mice 8 weeks after STZ and 4 weeks after HFD. Antibodies against the pericentral hepatocyte marker Cyp2E1 (B), periportal hepatocyte marker GP6Cα (C), hepatocyte marker HNF4α (D), and biliary epithelial cell marker CK19 (E) were used for the stainings. Representative images of the stainings are presented on the left (scale bar = 100 µm) and higher magnification images of the marked area on the left images are presented on the right for C-E. Data presented in A-E are from one representative experiment and three independent experiments were performed with similar results. F. The levels of Cdkna1 mRNA in the tumor free liver tissues from VEH-treated and 753b-treated STAM mice on P150. The data are presented as means ± SEM (n = 5 mice/group) and were analyzed by a two-tailed, unpaired Student’s t-test. G. The levels of selected SASP mRNA in the tumor free liver tissues from STAM mice on P150. The data are presented as means ± SEM (n = 2 and 3 mice for VEH and 753b group, respectively) and were analyzed by a two-tailed, unpaired t-tests. H. Photo of reprentative VEH-treated and 753b-treated STAM mice on P150. I. Whole body weight of STAM mice on P150. Data are presented as means ± SEM (n = 5 mice per group) and were analyzed by a two-tailed, unpaired Student’s t-test. J. Blood levels of glucose in VEH- and 753b-treated STAM mice after IP injection of insulin one week before the termination of the experiment on P150. Data are presented as means ± SEM (n = 5 mice per group) and analyzed by two-way ANOVA.

Source data

Extended Data Fig. 5

Diagram illustrating the time-dependent progression of NAFLD and development of HCC in STAM mice and different 753b treatment schedules and their effects on HCC development and progression.

Extended Data Fig. 6 The effects of early and delayed treatments with 753b on the selective markers of hepatic inflammation, necroptosis, and macrophase activation in the livers from STAM mice.

A. The levels of Ccl2, Ccl5, Mlkl, Ripk3, and Itgax/Cd11c mRNA in the tumor free liver tissues from STAM mice on P150 after receiving earlier VEH or 753b treatment as shown in Fig. 6a. The data are presented in A as means ± SEM (n = 5 mice/group) and were analyzed by a two-tailed, unpaired Student’s t-tests. B. Western blotting image of αSMA and Type 1 procollagen in the tumor free liver tissues (left panel), and that of Gpc3 expression in the whole liver tissues (right panel), from STAM mice on P150 after receiving delayed VEH or 753b treatment as shown in Fig. 7a. C. The levels of Ccl2, Ccl5, Il6, Serpine1, Mmp3, Mmp13, Mlkl, Ripk3, and Itgax/Cd11c mRNA in the tumor free liver tissues from STAM mice on P150 after receiving delayed VEH or 753b treatment as shown in Fig. 7a. The data are presented in C as means ± SEM (n = 5 mice/group) and were analyzed by a two-tailed, unpaired Student’s t-tests.

Source data

Extended Data Fig. 7 753b is not cytotoxic to HCC cells in vitro.

A. Cell viability of human HCC cells, HepG2 and Huh7, 72 h after treatment with increasing concentrations of ABT263 and 753b in cell culture. EC50, half-maximal effective concentration. The data presented are mean ± SD (n = 6 technical replicates) of a reprentative assay. Similar results were observed in two additional assays. B. Representative western blotting images of BCL-xL, BCL-2, BCL-w and MCL-1 in HepG2 cells after they were treated with increasing concentrations of ABT263 and 753b for 16 h. β-actin was used as a loading control.

Source data

Supplementary information

Supplementary Information

Supplementary Figs. 1 and 2, Supplementary Tables 1–6 and Supplementary Materials.

Reporting Summary

Source data

Source Data Fig. 1

Unprocessed western blots.

Source Data Fig. 3

Unprocessed western blots.

Source Data Fig. 4

Unprocessed western blots.

Source Data Fig. 5

Unprocessed western blots.

Source Data Extended Data Fig. 1

Unprocessed western blots.

Source Data Extended Data Fig. 6

Unprocessed western blots.

Source Data Extended Data Fig. 7

Unprocessed western blots.

Source Data Fig. 1

Statistical source data.

Source Data Fig. 2

Statistical source data.

Source Data Fig. 3

Statistical source data.

Source Data Fig. 4

Statistical source data.

Source Data Fig. 5

Statistical source data.

Source Data Fig. 6

Statistical source data.

Source Data Fig. 7

Statistical source data.

Source Data Fig. 8

Statistical source data.

Source Data Extended Data Fig. 1

Statistical source data.

Source Data Extended Data Fig. 2

Statistical source data.

Source Data Extended Data Fig. 3

Statistical source data.

Source Data Extended Data Fig. 4

Statistical source data.

Source Data Extended Data Fig. 6

Statistical source data.

Source Data Extended Data Fig. 7

Statistical source data.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, Y., Jn-Simon, N., He, Y. et al. A BCL-xL/BCL-2 PROTAC effectively clears senescent cells in the liver and reduces MASH-driven hepatocellular carcinoma in mice. Nat Aging 5, 386–400 (2025). https://doi.org/10.1038/s43587-025-00811-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1038/s43587-025-00811-7

This article is cited by

Search

Quick links

Nature Briefing: Cancer

Sign up for the Nature Briefing: Cancer newsletter — what matters in cancer research, free to your inbox weekly.

Get what matters in cancer research, free to your inbox weekly. Sign up for Nature Briefing: Cancer