journal article·2025-06Open access

Integrating Spatial and Single‐Nucleus Transcriptomic Data to Assess the Effects of Intrauterine Hyperglycemia on Fetal Pancreatic Development

Yu Deng, Shuting Wan, Zan Yuan, Huixia Yang

Advanced Science· Volume 12· Issue 22

Abstract

Abstract Maternal pregestational diabetes mellitus (PGDM) can lead to adverse fetal outcomes, including lasting impacts on pancreatic development. However, the specific impacts of maternal PGDM on cellular functions and intercellular communication within the fetal pancreas remain poorly understood. Here, single‐nucleus RNA sequencing and spatial transcriptomics (ST) are employed to investigate cellular responses and spatial changes in the fetal pancreas (E16.5 and E18.5) under maternal PGDM conditions. The findings reveal significant cellular heterogeneity among acinar and beta cells, along with pronounced metabolic stress responses. More importantly, decreased insulin secretion is observed and accompanied by the compensatory increase of Pdx1, Nkx6.2, and Mafa, and substantial alterations in cell‐cell communication across multiple cell types. ST analysis further highlights enhanced spatial enrichment in cellular niches exposed to maternal PGDM. These findings provide valuable insights into the molecular mechanisms underlying fetal pancreatic response to maternal PGDM and offer a detailed spatiotemporal perspective on these processes.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Single-cell and spatial transcriptomics · Pancreatic function and diabetes · Birth, Development, and Health

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

Affiliations

Department of Obstetrics and Gynecology Peking University First Hospital No. 8 Xishiku Street Beijing 100034 China

Beijing Key Laboratory of Maternal Fetal Medicine of Gestational Diabetes Mellitus Beijing 100034 China

Annoroad Gene Technology (Beijing) Co., Ltd Beijing 100176 China

Agricultural Bioinformatics Key Laboratory of Hubei Province Hubei Engineering Technology Research Center of Agricultural Big Data College of Informatics Huazhong Agricultural University Wuhan 430070 China

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China

References (66)

Show source-provided references
1. 10.1038/s41574-022-00734-y10.1038/s41574-022-00734-y ↗
2. 10.1371/journal.pmed.100292610.1371/journal.pmed.1002926 ↗
3. 10.1016/j.ajog.2022.12.00610.1016/j.ajog.2022.12.006 ↗
4. 10.1038/s41586-022-04756-410.1038/s41586-022-04756-4 ↗
5. 10.2337/dc24-S01510.2337/dc24-S015 ↗
6. 10.1016/j.isci.2023.10643910.1016/j.isci.2023.106439 ↗
7. 10.1016/j.tem.2024.04.00710.1016/j.tem.2024.04.007 ↗
8. 10.1016/j.metabol.2019.15396310.1016/j.metabol.2019.153963 ↗
9. 10.2337/dc22-189410.2337/dc22-1894 ↗
10. 10.2337/dc22-222610.2337/dc22-2226 ↗
11. 10.1007/s00125-020-05294-210.1007/s00125-020-05294-2 ↗
12. 10.1530/JOE-18-049310.1530/JOE-18-0493 ↗
13. 10.1155/2013/42915410.1155/2013/429154 ↗
14. 10.1038/s41422-021-00486-w10.1038/s41422-021-00486-w ↗
15. 10.1016/S0140-6736(24)00827-410.1016/S0140-6736(24)00827-4 ↗
16. 10.1038/s42255-023-00876-x10.1038/s42255-023-00876-x ↗
17. 10.1053/j.gastro.2020.11.01010.1053/j.gastro.2020.11.010 ↗
18. 10.1186/s13073-021-00941-810.1186/s13073-021-00941-8 ↗
19. 10.1186/s13073-023-01179-210.1186/s13073-023-01179-2 ↗
20. 10.1016/j.cmet.2022.11.00910.1016/j.cmet.2022.11.009 ↗
21. 10.1038/s41467-019-10189-x10.1038/s41467-019-10189-x ↗
22. 10.1016/j.cmet.2019.02.00510.1016/j.cmet.2019.02.005 ↗
23. 10.1016/j.celrep.2020.10804310.1016/j.celrep.2020.108043 ↗
24. 10.1016/j.cmet.2023.05.00710.1016/j.cmet.2023.05.007 ↗
25. 10.1126/science.106434410.1126/science.1064344 ↗
26. 10.7554/eLife.5991210.7554/eLife.59912 ↗
27. 10.1016/j.cell.2019.05.03110.1016/j.cell.2019.05.031 ↗
28. 10.1016/j.devcel.2022.05.01310.1016/j.devcel.2022.05.013 ↗
29. 10.1242/dev.14075610.1242/dev.140756 ↗
30. 10.1016/j.celrep.2013.06.01910.1016/j.celrep.2013.06.019 ↗
31. 10.1016/j.lfs.2024.12251410.1016/j.lfs.2024.122514 ↗
32. 10.2337/db23-021210.2337/db23-0212 ↗
33. 10.2337/db16-130510.2337/db16-1305 ↗
34. 10.1016/j.cmet.2013.05.01810.1016/j.cmet.2013.05.018 ↗
35. 10.1038/cddis.2014.8810.1038/cddis.2014.88 ↗
36. 10.1002/dmrr.289410.1002/dmrr.2894 ↗
37. 10.1210/en.2019-0023210.1210/en.2019-00232 ↗
38. 10.1096/fj.201700710R10.1096/fj.201700710R ↗
39. 10.2337/db15-165710.2337/db15-1657 ↗
40. 10.1097/FM9.000000000000019310.1097/FM9.0000000000000193 ↗
41. 10.1016/j.cmet.2013.12.00210.1016/j.cmet.2013.12.002 ↗
42. 10.1016/j.celrep.2020.10806710.1016/j.celrep.2020.108067 ↗
43. 10.1186/s13287-017-0694-z10.1186/s13287-017-0694-z ↗
44. 10.1007/s00125-010-1685-010.1007/s00125-010-1685-0 ↗
45. 10.2337/diacare.18.5.61110.2337/diacare.18.5.611 ↗
46. 10.2337/dc19-057110.2337/dc19-0571 ↗
47. 10.2337/dc17-051410.2337/dc17-0514 ↗
48. 10.1038/s42255-021-00516-210.1038/s42255-021-00516-2 ↗
49. 10.1016/j.cmet.2014.02.00110.1016/j.cmet.2014.02.001 ↗
50. 10.1016/j.celrep.2021.10991910.1016/j.celrep.2021.109919 ↗
51. 10.1038/ncomms563910.1038/ncomms5639 ↗
52. 10.1016/j.cmet.2014.03.01010.1016/j.cmet.2014.03.010 ↗
53. 10.2337/db14-019010.2337/db14-0190 ↗
54. 10.1111/jpi.1235110.1111/jpi.12351 ↗
55. 10.7150/thno.8353210.7150/thno.83532 ↗
56. 10.1016/j.xinn.2021.10014110.1016/j.xinn.2021.100141 ↗
57. 10.1016/j.cell.2022.04.00310.1016/j.cell.2022.04.003 ↗
58. 10.3390/cancers1605084610.3390/cancers16050846 ↗
59. 10.1038/s41588-023-01570-010.1038/s41588-023-01570-0 ↗
60. 10.1038/s41467-021-21246-910.1038/s41467-021-21246-9 ↗
61. 10.1038/nmeth.446310.1038/nmeth.4463 ↗
62. 10.1158/2159-8290.CD-21-031610.1158/2159-8290.CD-21-0316 ↗
63. 10.1186/s13059-019-1663-x10.1186/s13059-019-1663-x ↗
64. Ren F. · Nat. Biotechnol. · 2024 · 20
65. 10.1038/nmeth.440210.1038/nmeth.4402 ↗
66. 10.1038/s41592-021-01358-210.1038/s41592-021-01358-2 ↗