Evidence map›Paper›PMID 42279650›Full record

ArticleFoods (Basel, Switzerland)2026

Genome-Scale Metabolic Models Guided Improvement of Fermented Milk Quality and Flavor by

Wenjing Dai, Huandong Yang, Yan Chen, Yi Zou, Zijian Lin, Zihan Fang, Yipeng Tang, Lanyu Qin, Rongjie Zhou, Huafang Xu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Foods (Basel, Switzerland), 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
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

12 authors.

Wenjing DaiThe School of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.
Huandong YangJiangsu Weigang Dairy Research Institute Co., Ltd., Nanjing 210000, China.
Yan ChenThe School of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.
Yi ZouThe School of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.
Zijian LinThe School of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.
Zihan FangThe School of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.
Yipeng TangThe School of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.
Lanyu QinThe School of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.
Rongjie ZhouThe School of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.
Huafang XuJiangsu Weigang Dairy Research Institute Co., Ltd., Nanjing 210000, China.
Ruixia GuThe School of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.
Yunchao WaThe School of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.

Funding

Key Laboratory of Probiotics and Dairy Deep Processing of Yangzhou YZ2020265NATIONAL CENTER OF TECHNOLOGY INNOVATION FOR DAIRY 2025-KFKT-017National Key Research and Development Program of China 2022YFD2101503
6 · The paper itself

Abstract

The quality and flavor of probiotic fermented milk are highly dependent on the strain composition of the starter culture and their metabolic interactions. Although constructing a multi-strain system is an effective strategy for enhancing product quality, traditional formulation methods rely heavily on empirical approaches and lack mechanistic guidance. Herein, this study utilized genome-scale metabolic models (GEMs) to rationally design a multi-strain co-fermentation system. The results demonstrated that the GEM-predicted optimal system, comprising

Indexed as

fermented milkgenome-scale metabolic modelsmetabolomicsmicrobial metabolic interactions

Identifiers

PMID42279650
PMCPMC13257052

What OpenQuestion holds

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Registered trials

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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.