journal article·2026-05Open access

Maternal Preconception Antibiotic Exposure Disrupts Microbial Succession: A Transgenerational Risk for Offspring Gut Mucosal Immaturity and Colitis Susceptibility

Yuzhu Chen, Ruqiao Duan, Cunzheng Zhang, Gaonan Li, XiaoLin Ji, Qi Zhang, Fei Pei, Kun Wang, Liping Duan

Advanced Science· Volume 13· Issue 29

Abstract

ABSTRACT The early‐life microbiome plays a pivotal role in host development and lifelong health. Maternal factors are increasingly recognized as crucial in shaping offspring microbiome. However, how maternal preconception perturbations affects offspring health remain unclear. Thus, we combined animal and clinical data to elucidate whether preconception microbial perturbations disrupt microbial succession and increase offspring susceptibility to colitis. In animals, preconception antibiotic exposure induced long‐lasting disruptions in offspring microbial ecology, through enhanced maternal‐offspring microbial transmission, altered microbial developmental trajectories, and increased selective pressures during microbial community assembly. Ultimately, these alterations resulted in persistent gut mucosal immaturity and heightened susceptibility to colitis in adulthood. Complementary clinical studies revealed concordant alterations in gut microbiome and metabolome of children with inflammatory bowel disease (IBD) and their seemingly healthy mothers, characterized by pro‐inflammatory taxa and metabolites. Notably, mothers of IBD children reported significantly higher antibiotic exposure than controls, which was also associated with enhanced maternal‐offspring microbial transmission and increased selective pressures during microbial community assembly. Our findings reveal a potential intergenerational mechanism in which preconception perturbations are associated with disrupted microbial succession, transgenerational propagation of gut mucosal immaturity, and susceptibility to colitis. These results underscore the importance of judicious antibiotic use during the often‐overlooked preconception period.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Gut microbiota and health · Birth, Development, and Health · Tryptophan and brain disorders

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

Affiliations

Department of Gastroenterology Peking University Third Hospital Beijing China

PKUMed‐Wisbiom Joint Laboratory for Human Microbiome Research Beijing China

Department of Gastroenterology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School Nanjing Medical University Jiangsu China

Department of Pathology Peking University Third Hospital Beijing China

Funding

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

References (75)

Show source-provided references
1. 10.1016/j.tim.2019.08.00110.1016/j.tim.2019.08.001 ↗
2. 10.1038/nature1884510.1038/nature18845 ↗
3. 10.1038/s41586‐018‐0617‐x10.1038/s41586‐018‐0617‐x ↗
4. 10.1016/j.lanmic.2024.10104210.1016/j.lanmic.2024.101042 ↗
5. 10.1016/j.tim.2019.07.01010.1016/j.tim.2019.07.010 ↗
6. 10.1136/gutjnl‐2022‐32897010.1136/gutjnl‐2022‐328970 ↗
7. 10.1038/s41390‐024‐03029‐210.1038/s41390‐024‐03029‐2 ↗
8. 10.1038/s41586‐020‐2745‐310.1038/s41586‐020‐2745‐3 ↗
9. 10.1016/j.chom.2022.10.01410.1016/j.chom.2022.10.014 ↗
10. 10.1038/s41467‐020‐14552‐110.1038/s41467‐020‐14552‐1 ↗
11. 10.1053/j.gastro.2021.12.28210.1053/j.gastro.2021.12.282 ↗
12. 10.1016/j.gendis.2019.10.00310.1016/j.gendis.2019.10.003 ↗
13. 10.1016/j.cgh.2023.08.01310.1016/j.cgh.2023.08.013 ↗
14. 10.1038/s41575‐023‐00854‐410.1038/s41575‐023‐00854‐4 ↗
15. 10.1016/j.cgh.2024.02.01010.1016/j.cgh.2024.02.010 ↗
16. 10.1053/j.gastro.2019.04.01610.1053/j.gastro.2019.04.016 ↗
17. 10.1093/ecco‐jcc/jjac04310.1093/ecco‐jcc/jjac043 ↗
18. 10.3390/jpm1004024310.3390/jpm10040243 ↗
19. 10.1080/19490976.2016.121674710.1080/19490976.2016.1216747 ↗
20. 10.1002/imt2.7001210.1002/imt2.70012 ↗
21. 10.1136/gutjnl‐2017‐31435210.1136/gutjnl‐2017‐314352 ↗
22. 10.1136/gutjnl‐2022‐32772410.1136/gutjnl‐2022‐327724 ↗
23. 10.1016/s0140‐6736(18)30311‐810.1016/s0140‐6736(18)30311‐8 ↗
24. 10.1016/j.celrep.2017.06.06010.1016/j.celrep.2017.06.060 ↗
25. 10.1038/nature1020910.1038/nature10209 ↗
26. 10.3389/fcimb.2020.57291210.3389/fcimb.2020.572912 ↗
27. 10.1053/j.gastro.2023.09.01910.1053/j.gastro.2023.09.019 ↗
28. 10.1016/j.jinf.2021.12.03110.1016/j.jinf.2021.12.031 ↗
29. 10.1016/j.cell.2020.09.00910.1016/j.cell.2020.09.009 ↗
30. 10.1093/ibd/izae17910.1093/ibd/izae179 ↗
31. 10.1016/j.chom.2016.03.00710.1016/j.chom.2016.03.007 ↗
32. 10.1016/j.cmi.2017.02.02510.1016/j.cmi.2017.02.025 ↗
33. 10.3389/fimmu.2020.0090610.3389/fimmu.2020.00906 ↗
34. 10.1007/s12010‐021‐03720‐810.1007/s12010‐021‐03720‐8 ↗
35. 10.3109/13880209.2016.117086210.3109/13880209.2016.1170862 ↗
36. 10.1016/j.bbrep.2023.10162910.1016/j.bbrep.2023.101629 ↗
37. 10.1080/10408398.2020.184339610.1080/10408398.2020.1843396 ↗
38. 10.3389/fmicb.2015.0154310.3389/fmicb.2015.01543 ↗
39. 10.1159/00044336010.1159/000443360 ↗
40. 10.1097/mpg.000000000000059710.1097/mpg.0000000000000597 ↗
41. 10.1126/science.abj297210.1126/science.abj2972 ↗
42. 10.1038/s41467‐025‐56072‐w10.1038/s41467‐025‐56072‐w ↗
43. 10.1128/mbio.01857‐2110.1128/mbio.01857‐21 ↗
44. 10.1016/j.jaci.2023.01.00610.1016/j.jaci.2023.01.006 ↗
45. 10.1038/s41564‐018‐0321‐510.1038/s41564‐018‐0321‐5 ↗
46. 10.1111/j.1466‐8238.2009.00490.x10.1111/j.1466‐8238.2009.00490.x ↗
47. 10.1128/mmbr.00002‐1710.1128/mmbr.00002‐17 ↗
48. 10.1038/s41564‐023‐01573‐x10.1038/s41564‐023‐01573‐x ↗
49. 10.3390/microorganisms1110258010.3390/microorganisms11102580 ↗
50. 10.1080/19490976.2022.214584310.1080/19490976.2022.2145843 ↗
51. 10.1002/advs.20230345710.1002/advs.202303457 ↗
52. 10.1093/ismejo/wraf07110.1093/ismejo/wraf071 ↗
53. 10.3389/fcimb.2021.71188410.3389/fcimb.2021.711884 ↗
54. 10.1016/j.xcrm.2023.10112410.1016/j.xcrm.2023.101124 ↗
55. 10.1016/j.eclinm.2021.10088410.1016/j.eclinm.2021.100884 ↗
56. 10.2147/idr.s21975510.2147/idr.s219755 ↗
57. 10.1016/j.envint.2018.12.05610.1016/j.envint.2018.12.056 ↗
58. 10.1038/ismej.2013.9310.1038/ismej.2013.93 ↗
59. 10.1038/s41586‐020‐2745‐310.1038/s41586‐020‐2745‐3 ↗
60. 10.1038/nmeth.192310.1038/nmeth.1923 ↗
61. 10.1038/s41587‐023‐01688‐w10.1038/s41587‐023‐01688‐w ↗
62. 10.1093/femsec/fiaa25510.1093/femsec/fiaa255 ↗
63. 10.1093/bioinformatics/btr50710.1093/bioinformatics/btr507 ↗
64. 10.1093/bioinformatics/bty56010.1093/bioinformatics/bty560 ↗
65. 10.1038/s41587‐019‐0209‐910.1038/s41587‐019‐0209‐9 ↗
66. 10.3389/fmicb.2017.0222410.3389/fmicb.2017.02224 ↗
67. 10.1038/s41586‐022‐05620‐110.1038/s41586‐022‐05620‐1 ↗
68. 10.1002/imt2.110.1002/imt2.1 ↗
69. 10.1093/nar/gkae25310.1093/nar/gkae253 ↗
70. 10.1186/gb‐2011‐12‐6‐r6010.1186/gb‐2011‐12‐6‐r60 ↗
71. 10.1101/gr.123930310.1101/gr.1239303 ↗
72. 10.1038/s41592‐019‐0431‐x10.1038/s41592‐019‐0431‐x ↗
73. 10.1128/msystems.00164‐1610.1128/msystems.00164‐16 ↗
74. 10.1111/j.1462‐2920.2005.00956.x10.1111/j.1462‐2920.2005.00956.x ↗
75. 10.1371/journal.pcbi.100944210.1371/journal.pcbi.1009442 ↗