Evidence map›Paper›PMID 42681814›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Oligosaccharides With Defined Glycosidic Bonds Shape Gut Microbial Succession and Metabolism Via Bond-Specific Microbial Responders.

Xiaoxuan Lu, Jiaqi Zou, Geng Han, Mengyao Zhao, Ting Luo, Xiangru Feng, Liangliang Zhu, Yijia Chen, Xiaoguo Ji, Jiayang Jin and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Xiaoxuan LuState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, People's Republic of China.ORCID https://orcid.org/0009-0009-6475-1878
Jiaqi ZouState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, People's Republic of China.
Geng HanState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, People's Republic of China.
Mengyao ZhaoState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, People's Republic of China.ORCID https://orcid.org/0000-0002-5038-8504
Ting LuoState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, People's Republic of China.
Xiangru FengState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, People's Republic of China.
Liangliang ZhuState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, People's Republic of China.ORCID https://orcid.org/0009-0009-8688-2748
Yijia ChenState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, People's Republic of China.
Xiaoguo JiState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, People's Republic of China.
Jiayang JinState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, People's Republic of China.
Liming ZhaoState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, People's Republic of China.ORCID https://orcid.org/0000-0002-8523-103X

Funding

National Natural Science Foundation of China 32302102Natural Science Foundation of Shanghai 23ZR1415400Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism (Shanghai Municipal Education Commission)Shanghai Sailing Program 23YF1409800
6 · The paper itself

Abstract

Functional oligosaccharides are important prebiotic ingredients, but the structure-function relationships and mechanisms by which defined glycosidic bonds shape microbial responses remain unclear. Five glucose disaccharides, trehalose (α-1,1), maltose (α-1,4), isomaltose (α-1,6), cellobiose (β-1,4), and gentiobiose (β-1,6), were used as minimal oligosaccharide models to isolate glycosidic bond effects. Absolute time-series profiling combined with Bayesian generalized Lotka-Volterra modeling identified bond-specific microbial responders, operationally defined as taxa with statistically supported substrate-associated growth advantages beyond endpoint dominance. α-Linked disaccharides mainly recruited Bifidobacterium pseudocatenulatum and Megamonas funiformis, cellobiose enriched Faecalibacterium prausnitzii, and gentiobiose enriched B. pseudocatenulatum. Monoculture assays confirmed direct cognate disaccharide utilization. Metaproteomics revealed linkage-matched modules: isomaltose responders upregulated GanO/ChvE and oligo-1,6-glucosidase; cellobiose responders expressed CebE/ChvE, ABC.MS.S, CelB, cellobiose phosphorylase, and β-glucosidases; whereas the molecular evidence for gentiobiose was based mainly on ABC.MS.S and general β-glucosidases. Metabolically, gentiobiose favored acetic acid accumulation, cellobiose yielded the highest butyric acid concentration, and isomaltose elevated trans-4-hydroxy-L-proline and 7,8-dihydroneopterin associated with redox and immune-related cofactor pathways. Guided by these ecological and molecular observations, microbial responder-centered synthetic microbial communities utilized cognate disaccharides, recapitulated glycosidic bond-specific ecological succession, showed greater net short-chain fatty acid (SCFA) accumulation than matched complex communities under equal initial substrate input in vitro, and elevated fecal SCFAs in mice, with cellobiose increasing butyric acid by 2.1-fold. These results support a mechanistically informed pathway linking glycosidic bond structure, microbial succession, and metabolic outputs, providing a basis for structure‑guided microbiome modulation.

Indexed as

generalized lotka–volterra modelglycosidic bondmetaproteomicsmicrobial respondershort‐chain fatty acidssynthetic microbial community

Identifiers

PMID42681814
PMCPMC13534784

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.