journal article·2025-05Open access

A Compound Screen Based on Isogenic hESC‐Derived β Cell Reveals an Inhibitor Targeting ZnT8‐Mediated Zinc Transportation to Protect Pancreatic β Cell from Stress‐Induced Cell Death

Rui Hu, Qing Ma, Yunhui Kong, Zhaoyue Wang, Minglu Xu, Xiangyi Chen, Yajuan Su, Tinghui Xiao, Qing He, Xuan Wang, Wenjun Xu, Yiling Yang, Xushu Wang, Xiaobo Li, Yanfang Liu, Shuangshuang Chen, Rui Zhao, Meng Guo, Gaowei Wang, Weida Li

Advanced Science· Volume 12· Issue 20

Abstract

Abstract Pancreatic β cell loss by cellular stress contributes to diabetes pathogenesis. Nevertheless, the fundamental mechanism of cellular stress regulation remains elusive. Here, it is found that elevated zinc transportation causes excessive cellular stress in pancreatic β cells in diabetes. With gene‐edited human embryonic stem cell‐derived β cells (SC‐β cells) and human primary islets, the results reveal that elevated zinc transportation initiates the integrated stress response (ISR), and ultimately leads to β cell death. By contrary, genetic abolishment of zinc transportation shields β cells from exacerbated endoplasmic reticulum stress (ER stress) and concurrent ISR. To target excessive zinc transportation with a chemical inhibitor, an isogenic SC‐β cells based drug‐screening platform is established. Surprisingly, independent of its traditional role as protein synthesis inhibitor at a high‐dose (10 µ m ), low‐dose (25 n m ) anisomycin significantly inhibits zinc transportation and effectively prevents β cell loss. Remarkably, in vivo administration of anisomycin in mice demonstrates protective effects on β cells and prevents type 2 diabetes induced by high‐fat diet. Overall, elevated zinc transportation is identified as a crucial driver of β cell loss and low‐dose anisomycin as a potential therapeutic molecule for diabetes.
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Research context

OpenAlex topics: Pancreatic function and diabetes · Genetics and Neurodevelopmental Disorders · Adenosine and Purinergic Signaling

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

Affiliations

Institute for Regenerative Medicine State Key Laboratory of Cardiology and Medical Innovation Center Shanghai East Hospital Frontier Science Center for Stem Cell Research Shanghai Key Laboratory of Signaling and Disease Research School of Life Sciences and Technology Tongji University Shanghai 200092 China

Institute of Modern Biology Nanjing University Nanjing 20018 China

Department of Pathology Changhai Hospital Navy Medical University Shanghai 200433 China

Institute of Translational Medicine Shanghai University Shanghai 200444 China

National Key Laboratory of Medical Immunology and Institute of Immunology Navy Medical University Shanghai 200433 China

Funding

National Natural Science Foundation of China · China Postdoctoral Science Foundation · Fundamental Research Funds for the Central Universities · Science and Technology Commission of Shanghai Municipality

References (90)

Show source-provided references
1. 10.1038/s41574-020-0355-710.1038/s41574-020-0355-7 ↗
2. 10.1038/s41574-021-00510-410.1038/s41574-021-00510-4 ↗
3. 10.1016/j.celrep.2020.03.03310.1016/j.celrep.2020.03.033 ↗
4. 10.1172/JCI2910310.1172/JCI29103 ↗
5. 10.1016/S0140-6736(98)07019-610.1016/S0140-6736(98)07019-6 ↗
6. 10.1007/s11883-014-0457-610.1007/s11883-014-0457-6 ↗
7. 10.1210/endocr/bqac18410.1210/endocr/bqac184 ↗
8. 10.1126/science.aat531410.1126/science.aat5314 ↗
9. 10.1016/j.molmet.2017.06.00110.1016/j.molmet.2017.06.001 ↗
10. 10.1016/j.coemr.2020.09.01010.1016/j.coemr.2020.09.010 ↗
11. 10.1038/s42255-022-00618-510.1038/s42255-022-00618-5 ↗
12. 10.1038/s41586-019-1231-210.1038/s41586-019-1231-2 ↗
13. 10.1038/ng.60910.1038/ng.609 ↗
14. 10.1074/jbc.M50742620010.1074/jbc.M507426200 ↗
15. 10.1172/JCI3967810.1172/JCI39678 ↗
16. 10.1038/s41418-024-01258-w10.1038/s41418-024-01258-w ↗
17. 10.1038/s41588-019-0513-910.1038/s41588-019-0513-9 ↗
18. 10.1038/ng.291510.1038/ng.2915 ↗
19. 10.1038/ng.293410.1038/ng.2934 ↗
20. 10.4161/isl.2.3.1181510.4161/isl.2.3.11815 ↗
21. 10.1074/jbc.M111.24118210.1074/jbc.M111.241182 ↗
22. 10.1038/nbt.278610.1038/nbt.2786 ↗
23. 10.1038/clpt.2009.29510.1038/clpt.2009.295 ↗
24. 10.1126/science.adg627610.1126/science.adg6276 ↗
25. 10.1016/j.stem.2023.11.01110.1016/j.stem.2023.11.011 ↗
26. 10.1016/j.stem.2023.04.01110.1016/j.stem.2023.04.011 ↗
27. 10.1016/j.cmet.2018.11.01610.1016/j.cmet.2018.11.016 ↗
28. 10.1038/s41588-023-01397-910.1038/s41588-023-01397-9 ↗
29. 10.1016/j.cell.2020.03.04610.1016/j.cell.2020.03.046 ↗
30. 10.1016/j.stem.2016.03.01510.1016/j.stem.2016.03.015 ↗
31. 10.1016/j.stem.2017.01.00110.1016/j.stem.2017.01.001 ↗
32. 10.1016/j.stem.2016.07.00210.1016/j.stem.2016.07.002 ↗
33. 10.1093/hmg/ddl08110.1093/hmg/ddl081 ↗
34. 10.1038/s41374-020-0408-510.1038/s41374-020-0408-5 ↗
35. 10.2337/db13-071710.2337/db13-0717 ↗
36. 10.1126/science.abb859810.1126/science.abb8598 ↗
37. 10.1016/j.isci.2022.10535910.1016/j.isci.2022.105359 ↗
38. 10.1073/pnas.181576711610.1073/pnas.1815767116 ↗
39. 10.1038/s41586-023-06423-810.1038/s41586-023-06423-8 ↗
40. 10.7554/eLife.4917810.7554/eLife.49178 ↗
41. 10.1016/S0092-8674(01)00611-010.1016/S0092-8674(01)00611-0 ↗
42. 10.1038/415092a10.1038/415092a ↗
43. 10.1007/s00125-016-3900-010.1007/s00125-016-3900-0 ↗
44. 10.1007/s12020-010-9432-310.1007/s12020-010-9432-3 ↗
45. 10.1038/cdd.2017.11810.1038/cdd.2017.118 ↗
46. 10.1038/s41392-023-01547-910.1038/s41392-023-01547-9 ↗
47. 10.1038/d41586-021-01173-x10.1038/d41586-021-01173-x ↗
48. Macias‐Silva M. · Curr. Chem. Biol. · 2010 · 4 · 124
49. 10.1182/blood-2015-07-66096910.1182/blood-2015-07-660969 ↗
50. 10.1016/j.canlet.2015.08.01210.1016/j.canlet.2015.08.012 ↗
51. 10.1074/mcp.M115.05192010.1074/mcp.M115.051920 ↗
52. 10.1016/j.xpro.2020.10010310.1016/j.xpro.2020.100103 ↗
53. Xue J. · eLife · 2020 · 9
54. 10.1038/s41467-019-12880-510.1038/s41467-019-12880-5 ↗
55. 10.1126/scitranslmed.aaf230410.1126/scitranslmed.aaf2304 ↗
56. 10.1038/nm.348210.1038/nm.3482 ↗
57. 10.1172/JCI12918810.1172/JCI129188 ↗
58. 10.1530/JME-15-023210.1530/JME-15-0232 ↗
59. Montane J. · Diabetes, Metab. Syndr. Obes. · 2014 · 7 · 25
60. 10.1038/s41580-021-00331-310.1038/s41580-021-00331-3 ↗
61. 10.1126/science.aad986810.1126/science.aad9868 ↗
62. 10.1038/gim.2012.18010.1038/gim.2012.180 ↗
63. 10.2337/db12-007110.2337/db12-0071 ↗
64. 10.1016/j.cmet.2020.03.00210.1016/j.cmet.2020.03.002 ↗
65. 10.1016/j.stemcr.2017.04.01710.1016/j.stemcr.2017.04.017 ↗
66. 10.1038/s41587-019-0201-410.1038/s41587-019-0201-4 ↗
67. 10.1093/bioinformatics/btt65610.1093/bioinformatics/btt656 ↗
68. 10.1016/j.cell.2021.04.04810.1016/j.cell.2021.04.048 ↗
69. Becht E. · Nat. Biotechnol. · 2018
70. 10.1186/s13059-019-1874-110.1186/s13059-019-1874-1 ↗
71. 10.1186/s13059-017-1382-010.1186/s13059-017-1382-0 ↗
72. 10.15252/msb.2020962010.15252/msb.20209620 ↗
73. 10.1038/s41588-021-00790-610.1038/s41588-021-00790-6 ↗
74. 10.1186/gb-2008-9-9-r13710.1186/gb-2008-9-9-r137 ↗
75. 10.1093/bioinformatics/bty56010.1093/bioinformatics/bty560 ↗
76. 10.1038/nmeth.192310.1038/nmeth.1923 ↗
77. 10.1093/nar/gku36510.1093/nar/gku365 ↗
78. 10.1093/bioinformatics/btp32410.1093/bioinformatics/btp324 ↗
79. 10.1016/j.cels.2016.07.00210.1016/j.cels.2016.07.002 ↗
80. 10.1145/2939672.293978510.1145/2939672.2939785 ↗
81. 10.1186/s13059-015-0844-510.1186/s13059-015-0844-5 ↗
82. 10.1111/j.2517-6161.1995.tb02031.x10.1111/j.2517-6161.1995.tb02031.x ↗
83. Wu T. · Innovation · 2021 · 2
84. 10.1038/s41588-019-0538-010.1038/s41588-019-0538-0 ↗
85. 10.2337/db16-023410.2337/db16-0234 ↗
86. N. C. C. C. M. C. M. Committee, N. C. Consortium · CellR4 Repair Replacement Regener. Reprogram. · 2014 · 2
87. 10.1038/s41467-022-31829-910.1038/s41467-022-31829-9 ↗
88. 10.1021/ic200478q10.1021/ic200478q ↗
89. 10.1038/s41586-019-1168-510.1038/s41586-019-1168-5 ↗
90. 10.1038/s41587-022-01219-z10.1038/s41587-022-01219-z ↗