Evidence map›Paper›PMID 41376621›Full record

ReviewFrontiers in immunology2025

The research progress of LACC1.

Feng Li, Xinyi Cui, Qingli Yang, Yu Nie, Jinchun Wang, Shibo Sun

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Feng Li *Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital, Kunming Medical University, Kunming, China.
Xinyi Cui *Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital, Kunming Medical University, Kunming, China.
Qingli YangDepartment of Pulmonary and Critical Care Medicine, First Affiliated Hospital, Kunming Medical University, Kunming, China.
Yu NieDepartment of Pulmonary and Critical Care Medicine, First Affiliated Hospital, Kunming Medical University, Kunming, China.
Jinchun WangDepartment of Pulmonary and Critical Care Medicine, First Affiliated Hospital, Kunming Medical University, Kunming, China.
Shibo SunDepartment of Pulmonary and Critical Care Medicine, First Affiliated Hospital, Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laccase Domain-Containing 1(LACC1)is highly expressed in myeloid macrophages, and plays a crucial role in coordinating innate and adaptive immune responses by integrating lipid, polyamine, and purine metabolism pathways. This study comprehensively discusses the molecular structure, enzymatic functions, and signaling pathways associated with LACC1. Notably, the M-CSF/AKT/mTOR/LACC1 pathway primarily regulates cellular autophagy. Additionally, the PPARα/RXR/PPRE/LACC1, miR-211-5p/KDM2B/LACC1, LACC1/AMPK/NLRP3, LACC1/NF-kB, LACC1/MAPK, LACC1/ROS/NOD2/PIPK2, LACC1/JAK-STAT, and LACC1/CCL5 signaling pathways are significantly involved in modulating inflammatory responses. Furthermore, the article provides a comprehensive summary of the pathogenic mechanisms and recent advancements in research concerning LACC1 in immune diseases, metabolic disorders, infectious diseases, and neurological conditions. In conclusion, LACC1 serves as a pivotal immune-metabolic hub, offering new insights and potential therapeutic targets for the study of related diseases.

Indexed as

Intracellular Signaling Peptides and ProteinsAnimalsHumansMacrophagesSignal TransductionIntracellular Signaling Peptides and ProteinsLACC1 protein, humandiseasesimmuneinflammationLACC1signaling pathway

Identifiers

PMID41376621
PMCPMC12687293

What OpenQuestion holds

Textmetadata
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.