收藏切换
Comparison of gut microbiome and metabolome characteristics in preterm and full-term infants under different feeding modes
收藏切换
PDF
Jiaqi YIN1, Shuang WANG2, Jiaqi LIU1, Lina DING1, Jing ZOU1, Junwen LIU1, Yao JIN1, Ping LI1, Qing GU1, Jiarun HAN1
Acta Microbiologica Sinica | 2026, 66(8) : 3926 - 3952
Less
收藏切换
Acta Microbiologica Sinica | 2026, 66(8): 3926-3952
Research Article
Comparison of gut microbiome and metabolome characteristics in preterm and full-term infants under different feeding modes
Full
Jiaqi YIN1, Shuang WANG2, Jiaqi LIU1, Lina DING1, Jing ZOU1, Junwen LIU1, Yao JIN1, Ping LI1, Qing GU1, Jiarun HAN1
Affiliations
  • 1.Zhejiang Key Laboratory of Food Microbiology and Nutritional Health, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang, China
  • 2.Shenyang Woman’s and Children’s Hospital, Shenyang, Liaoning, China
About Author:

These authors contributed equally to this work.

Published: 2026-08-04 doi: 10.13343/j.cnki.wsxb.20260127
Outline
收藏切换

Early life is a critical window for the establishment of the infant gut microbiome and the shaping of its metabolic functions, and gestational age and feeding mode are considered key determinants of this process. [Objective] To compare the fecal gut microbiome and metabolome between preterm and full-term infants under breastfeeding and non-breastfeeding conditions, thus exploring the effects of feeding mode and gestational age on early-life gut microbial ecology and metabolic features. [Methods] Infants were assigned into four groups: breastfeeding preterm infants (BPI), non-breastfeeding preterm infants (NBPI), breastfeeding full-term infants (BTI), and non-breastfeeding full-term infants (NBTI), with 10 infants per group. The 16S rRNA gene sequencing and untargeted metabolomics analysis were performed. Alpha/beta diversity analyses, differential abundance testing, and linear discriminant analysis effect size (LEfSe) were performed to identify key microbial taxa. Partial least squares-discriminant analysis (PLS-DA), volcano plots, and KEGG pathway enrichment were employed to determine differential metabolites and functional pathways, followed by microbiome-metabolite association network analysis. [Results] The 16S rRNA gene sequencing showed that the gut microbiome in the BTI group was dominated by Actinomycetota, Bifidobacterium (45.98%), and Bifidobacterium breve, forming a typical “breastfeeding-type” structure. The BPI group showed enrichment of Pseudomonadota and Streptococcus, with attenuated dominance of Bifidobacterium. Among non-breastfed infants, the NBTI group was dominated by Enterococcus (59.20%), whereas the NBPI group showed a fluctuating gut microbiome. Untargeted metabolomics further revealed functional differences consistent with these compositional patterns. KEGG enrichment indicated that differential metabolites were mainly involved in amino acid metabolism, lipid metabolism, bile acid-related pathways, and carbohydrate digestion and absorption. At the level of key metabolites, the BPI group showed significant enrichment of metabolites related to antioxidant and immune support, such as glutathione and vitamin D sulfate conjugates; the BTI group enriched long-chain polyunsaturated fatty acids and indole-derived metabolites; and non-breastfeeding groups generally exhibited accumulation of fermentable carbohydrates and specific bile acid derivatives. Correlation analysis confirmed a strong positive association between Bifidobacterium and indole-related metabolite outputs in breastfeeding groups, whereas microbiome–metabolite networks were looser in non-breastfeeding groups. [Conclusion] Both gestational age and feeding mode are related to differences in the early gut microbiome structure and related metabolic characteristics of infants, with the association between feeding mode and metabolic profile differences being more prominent. Gestational age may affect the establishment pattern of dominant microbial taxa in the context of breastfeeding. As a pioneering exploratory study, this study preliminarily reveals the specificity of gut microbiome structure and functional metabolism in different populations of infants, providing a basis for subsequent prospective cohort validation, mechanism research, and early nutritional intervention optimization.

gestational age  /  feeding mode  /  infant  /  gut microbiome  /  metabolome  /  microbiome-metabolome association
Jiaqi YIN, Shuang WANG, Jiaqi LIU, Lina DING, Jing ZOU, Junwen LIU, Yao JIN, Ping LI, Qing GU, Jiarun HAN. Comparison of gut microbiome and metabolome characteristics in preterm and full-term infants under different feeding modes[J]. Acta Microbiologica Sinica, 2026 , 66 (8) : 3926 -3952 . DOI: 10.13343/j.cnki.wsxb.20260127
  • National Natural Science Foundation of China(32402117)
  • Young Elite Scientists Sponsorship Program by CAST(YESS20240737)
  • Zhejiang Association for Science and Technology Youth Talent Support Project(ZJSKXQT201508)
Year 2026 volume 66 Issue 8
PDF
255
123
Cite this Article
BibTeX
Article Info
doi: 10.13343/j.cnki.wsxb.20260127
  • Receive Date:2026-02-10
  • Online Date:2026-08-21
  • Published:2026-08-04
Article Data
Affiliations
History
  • Received:2026-02-10
  • Accepted:2026-04-13
Funding
National Natural Science Foundation of China(32402117)
Young Elite Scientists Sponsorship Program by CAST(YESS20240737)
Zhejiang Association for Science and Technology Youth Talent Support Project(ZJSKXQT201508)
Affiliations
    1.Zhejiang Key Laboratory of Food Microbiology and Nutritional Health, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang, China
    2.Shenyang Woman’s and Children’s Hospital, Shenyang, Liaoning, China

Corresponding:

E-mail: HAN Jiarun, ;
References
Share
https://castjournals.cast.org.cn/joweb/wswxb/EN/10.13343/j.cnki.wsxb.20260127
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT