journal article·2024-05Open access

Diet Mediate the Impact of Host Habitat on Gut Microbiome and Influence Clinical Indexes by Modulating Gut Microbes and Serum Metabolites

Jiguo Zhang, Houbao Qi, Meihui Li, Zhihong Wang, Xiaofang Jia, Tianyong Sun, Shufa Du, Chang Su, Mengfan Zhi, Wenwen Du, Yifei Ouyang, Pingping Wang, Feifei Huang, Hongru Jiang, Li Li, Jing Bai, Yanli Wei, Xiaofan Zhang, Huijun Wang, Bing Zhang, Qiang Feng

Advanced Science· Volume 11· Issue 19

Abstract

Abstract The impact of external factors on the human gut microbiota and how gut microbes contribute to human health is an intriguing question. Here, the gut microbiome of 3,224 individuals (496 with serum metabolome) with 109 variables is studied. Multiple analyses reveal that geographic factors explain the greatest variance of the gut microbiome and the similarity of individuals’ gut microbiome is negatively correlated with their geographic distance. Main food components are the most important factors that mediate the impact of host habitats on the gut microbiome. Diet and gut microbes collaboratively contribute to the variation of serum metabolites, and correlate to the increase or decrease of certain clinical indexes. Specifically, systolic blood pressure is lowered by vegetable oil through increasing the abundance of Blautia and reducing the serum level of 1‐palmitoyl‐2‐palmitoleoyl‐GPC (16:0/16:1), but it is reduced by fruit intake through increasing the serum level of Blautia improved threonate. Besides, aging‐related clinical indexes are also closely correlated with the variation of gut microbes and serum metabolites. In this study, the linkages of geographic locations, diet, the gut microbiome, serum metabolites, and physiological indexes in a Chinese population are characterized. It is proved again that gut microbes and their metabolites are important media for external factors to affect human health.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Gut microbiota and health · Diet and metabolism studies · Nutritional Studies and Diet

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

Affiliations

National Institute for Nutrition and Health Chinese Center for Disease Control and Prevention Beijing 100050 China

Key Laboratory of Trace Element Nutrition National Health Commission Beijing 100050 China

Department of Human Microbiome School and Hospital of Stomatology Cheeloo College of Medicine SD University & SD Key Laboratory of Oral Tissue Regeneration & SD Engineering Laboratory for Dental Materials and Oral Tissue Regeneration Jinan 250012 China

Department of Nutrition Gillings School of Global Public Health University of North Carolina at Chapel Hill Chapel Hill NC 27599 USA

State key laboratory of microbial technology SD University Qingdao 266237 China

Funding

Ministry of Science and Technology of the People's Republic of China · National Institute of Diabetes and Digestive and Kidney Diseases · National Natural Science Foundation of China · Eunice Kennedy Shriver National Institute of Child Health and Human Development

References (54)

Show source-provided references
1. 10.1126/science.aad336910.1126/science.aad3369 ↗
2. 10.1038/s41591-018-0210-810.1038/s41591-018-0210-8 ↗
3. 10.1038/s41564-018-0321-510.1038/s41564-018-0321-5 ↗
4. 10.1038/s41586-022-04567-710.1038/s41586-022-04567-7 ↗
5. 10.1038/s41588-020-00763-110.1038/s41588-020-00763-1 ↗
6. 10.1186/s40168-020-00969-910.1186/s40168-020-00969-9 ↗
7. 10.1038/s41591-020-01183-810.1038/s41591-020-01183-8 ↗
8. 10.1038/nature1105310.1038/nature11053 ↗
9. 10.1038/s43587-020-00014-210.1038/s43587-020-00014-2 ↗
10. 10.1038/s41591-018-0164-x10.1038/s41591-018-0164-x ↗
11. 10.1038/s41467-021-25694-110.1038/s41467-021-25694-1 ↗
12. 10.1073/pnas.100596310710.1073/pnas.1005963107 ↗
13. 10.1038/nature1123410.1038/nature11234 ↗
14. 10.3389/fmicb.2017.0116210.3389/fmicb.2017.01162 ↗
15. 10.3390/nu1305165510.3390/nu13051655 ↗
16. 10.1136/gutjnl-2021-32405310.1136/gutjnl-2021-324053 ↗
17. 10.1099/ijs.0.65208-010.1099/ijs.0.65208-0 ↗
18. Liu X. · Gut Microbes · 2021 · 13 · 1
19. 10.1038/s41591-022-02014-810.1038/s41591-022-02014-8 ↗
20. 10.1038/s41467-018-07859-710.1038/s41467-018-07859-7 ↗
21. 10.1002/mnfr.20210101910.1002/mnfr.202101019 ↗
22. 10.1016/j.chom.2017.06.00710.1016/j.chom.2017.06.007 ↗
23. 10.1038/nm.435810.1038/nm.4358 ↗
24. 10.1016/j.cell.2021.03.02410.1016/j.cell.2021.03.024 ↗
25. 10.1038/s41467-022-30712-x10.1038/s41467-022-30712-x ↗
26. 10.1016/j.neuron.2009.12.02610.1016/j.neuron.2009.12.026 ↗
27. 10.1016/j.numecd.2022.04.00210.1016/j.numecd.2022.04.002 ↗
28. 10.1016/j.isci.2020.10119910.1016/j.isci.2020.101199 ↗
29. 10.1186/s40168-017-0338-710.1186/s40168-017-0338-7 ↗
30. 10.1038/s41586-020-2881-910.1038/s41586-020-2881-9 ↗
31. 10.1128/mSystems.00122-1710.1128/mSystems.00122-17 ↗
32. 10.1038/s41522-021-00245-010.1038/s41522-021-00245-0 ↗
33. 10.1080/19490976.2020.174733010.1080/19490976.2020.1747330 ↗
34. 10.3390/nu1009132310.3390/nu10091323 ↗
35. 10.1128/mSystems.00031-1810.1128/mSystems.00031-18 ↗
36. 10.1038/nature1035410.1038/nature10354 ↗
37. 10.1038/s41586-020-2896-210.1038/s41586-020-2896-2 ↗
38. 10.1038/s41588-021-00968-y10.1038/s41588-021-00968-y ↗
39. 10.2337/dc19-253310.2337/dc19-2533 ↗
40. 10.1053/j.gastro.2022.06.06910.1053/j.gastro.2022.06.069 ↗
41. 10.1186/s40168-019-0683-910.1186/s40168-019-0683-9 ↗
42. 10.1016/j.ebiom.2021.10328410.1016/j.ebiom.2021.103284 ↗
43. 10.1111/acel.1359910.1111/acel.13599 ↗
44. 10.1084/jem.2020060610.1084/jem.20200606 ↗
45. 10.1080/19490976.2020.186570510.1080/19490976.2020.1865705 ↗
46. 10.1093/ije/dyp32210.1093/ije/dyp322 ↗
47. 10.1093/aje/kww17710.1093/aje/kww177 ↗
48. Y.Yang Beijing Medical University Press Beijing 2005 2.
49. 10.1007/978-0-387-21706-210.1007/978-0-387-21706-2 ↗
50. 10.1371/journal.pcbi.100944210.1371/journal.pcbi.1009442 ↗
51. 10.1093/bioinformatics/bty73410.1093/bioinformatics/bty734 ↗
52. Breiman L. · J. Clin. Microbiol. · 2001 · 2 · 199
53. Cramer H. · 1946
54. 10.18637/jss.v059.i0510.18637/jss.v059.i05 ↗