Evidence map›Paper›PMID 41753704›Full record

ArticleMicroorganisms2026

Investigation of the Carbon Catabolite Repression Mechanism in L-Lactic Acid Fermentation from Mixed Sugars by

Yinan Sun, Juan Wang, Tong Deng, Shijie Wang, Jianguo Liu, Xiaona Wang, Qunhui Wang

Abstract read
In one paragraph

Article in Microorganisms, 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

7 authors.

Yinan SunKey Laboratory of Environmental Pollution Control and Remediationat Universities of Inner Mongolia Autonomous Region, College of Resources and Environmental Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.
Juan WangInner Mongolia Autonomous Region Key Laboratory of Green Construction and Intelligent Operation and Maintenance of Civil Engineering, School of Civil Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.
Tong DengInner Mongolia Autonomous Region Key Laboratory of Green Construction and Intelligent Operation and Maintenance of Civil Engineering, School of Civil Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.
Shijie WangLaboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Jianguo LiuKey Laboratory of Environmental Pollution Control and Remediationat Universities of Inner Mongolia Autonomous Region, College of Resources and Environmental Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.
Xiaona WangSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Qunhui WangSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0002-1100-7609

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lignocellulosic hydrolysate is rich in various fermentable sugars, such as glucose, xylose, and cellobiose. Utilizing these sugars for L-lactic acid fermentation represents a promising strategy for the high-value utilization of biomass. However, when mixed sugars serve as carbon sources, microorganisms typically undergo carbon catabolite repression (CCR) at the initial fermentation stage, which significantly compromises both the yield and productivity of L-lactic acid. To clarify CCR mechanisms and explore effective mitigation strategies,

Indexed as

Bacillus coagulanscarbon catabolite repression (CCR)lignocelluloseL-lactic acidmixed-sugar fermentation

Identifiers

PMID41753704
PMCPMC12943689

What OpenQuestion holds

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LicenceCC BY
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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.