Evidence map›Paper›PMID 41268496›Full record

ReviewInnovation (Cambridge (Mass.))2025

Multiscale metabolic engineering in biological lignin valorization.

Ruo-Ying Liu, Bing-Zhi Li, Ying-Jin Yuan, Zhi-Hua Liu

Abstract readReview
In one paragraph

Review in Innovation (Cambridge (Mass.)), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Advancing lignocellulosic conversion though biosensor-enabled metabolic engineering.Green chemistry : an international journal and green chemistry resource : GC · 2025
    Review
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

4 authors.

Ruo-Ying LiuState Key Laboratory of Synthetic Biology and Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, China.
Bing-Zhi LiState Key Laboratory of Synthetic Biology and Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, China.
Ying-Jin YuanState Key Laboratory of Synthetic Biology and Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, China.
Zhi-Hua LiuState Key Laboratory of Synthetic Biology and Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lignin, a natural and renewable aromatic polymer, serves as a plentiful source of aromatic building blocks for biomanufacturing. However, despite its potential, the bioconversion efficiency of lignin remains limited due to its inherently complex structure and the constraints of traditional metabolic engineering approaches. Synthetic biology-guided metabolic regulation offers a solution by coordinating intracellular resource allocation in ligninolytic strains, endowing their adaptation for industrial applications and promoting the sustainability of lignin-based bioeconomy. This review provides a comprehensive overview of multiscale metabolic regulation, including critical enzymes involved in biotransformation, metabolic pathway networks, genome-phenotype, and learning prediction. It highlights the significant roles and potential benefits of emerging cutting-edge technologies in advancing lignin valorization. Overall, synthetic biology-guided metabolic regulation has demonstrated its power in balancing the metabolic fluxes of ligninolytic strains, ensuring the continued vitality in future development.

Indexed as

computer-assisted predictionlignin valorizationmetabolic engineeringmetabolic modelmolecular designsynthetic biology

Identifiers

PMID41268496
PMCPMC12628177

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.