Evidence map›Paper›PMID 40038710›Full record

ArticleJournal of translational medicine2025

Transcriptomic profiling identifies ferroptosis and NF-κB signaling involved in α-dimorphecolic acid regulation of microglial inflammation.

Xiao-Xi Zhu, Pei-Juan Wang, Shan Chao, Wei-Jia Tang, Long-You Zhao, Li-Mei Yu, Fan Yang

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Neuropsychiatric disease and treatment · 2026
    Article
  6. Article
  7. 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

7 authors.

Xiao-Xi Zhu *Key Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Pei-Juan Wang *Department of Psychiatry, Nantong Fourth People's Hospital, Nantong, China.
Shan ChaoResearch Center for Lin He Academician New Medicine, Institutes for Shanghai Pudong Decoding Life, Shanghai, China.
Wei-Jia TangResearch Center for Lin He Academician New Medicine, Institutes for Shanghai Pudong Decoding Life, Shanghai, China.
Long-You ZhaoLishui Key Laboratory of Brain Health and Severe Brain Disorders. Lishui Second People's Hospital, Lishui, China.
Li-Mei YuKey Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, China. ylm720@sina.com.
Fan YangLishui Key Laboratory of Brain Health and Severe Brain Disorders. Lishui Second People's Hospital, Lishui, China. yangfan@sibs.ac.cn.ORCID 0000-0002-1659-956X

Funding

Basic Research Program of Guizhou Province QianKeHe Basics-ZK [2023] General 326Basic Research Program of Guizhou Province QianKeHe Basics-ZK [2023] General 583Basic Research Project of Zunyi City Zunshi Kehe HZ Zi (2023) No.259Elderly Health Research Project of Health Commission of Jiangsu Province LKM2022062Project of Development Center for Medical Science & Technology, National Health Commission of the PRC WKZX2022JG0105Zhejiang Provincial Natural Science Foundation Youth Science Fund Project QN25H310018
6 · The paper itself

Abstract

backgroundMicroglia-evoked neuroinflammation contributes to neurodegenerative diseases such as multiple sclerosis (MS). Metabolic reprogramming, including changes in polyunsaturated fatty acids (PUFAs), plays a critical role in MS pathophysiology. Previous studies identified reduced plasma α-dimorphecolic acid (α-DIPA), a linoleic acid derivative, in MS patients. This study investigated the anti-inflammatory effects of α-DIPA on microglia and the underlying pathways.

methodsLipopolysaccharide (LPS)-induced BV-2 microglial inflammation was used as an in vitro model. α-DIPA effects were assessed via ELISA for nitric oxide (NO) release, flow cytometry was used to examine cell proliferation, activation and polarization, and transcriptomic analysis was applied to identify key signaling pathways regulated by α-DIPA.

resultsELISA results showed that exogenous α-DIPA treatment significantly inhibited LPS-induced NO release from BV-2 cells in a concentration-dependent manner. Moreover, flow cytometry analysis suggested that 40 µM α-DIPA treatment significantly repressed LPS-induced BV-2 cell proliferation, activation, as well as M1 and M2 type polarization. Furthermore, transcriptome analysis revealed that exogenous α-DIPA extensively and drastically decreased the transcriptional level of numerous genes that are involved in the regulation of inflammatory responses, for instance, proinflammatory genes such as Tnf and Ccl3 related to IL-17 and TNF-α signaling. In addition, we also observed that the expression of multiple genes in NF-κB signaling were also inhibited greatly by α-DIPA, such as Nfkb2 and Nfkbia. Notably, α-DIPA robustly suppressed LPS-induced mRNA expression of abundant genes participating in the ferroptosis pathway, including Acsl4, Slc7a11, Me1, and Hmox1. Interestingly, the expressions of multiple ferroptosis-related genes were regulated specifically by α-DIPA but not LPS, such as Acsl5, Acsl6, Alox5, Cars, Dpp3, Dpp10, Slc2a5, and Slc7a1.

conclusionα-DIPA inhibits microglial inflammation likely through regulating the pathways of the ferroptosis and NF-κB signaling. These results provided preliminary evidence for α-DIPA as a potential therapeutic candidate for neurodegenerative diseases like MS.

Indexed as

FerroptosisGene Expression ProfilingInflammationMicrogliaNF-kappa BSignal TransductionAnimalsCell LineCell ProliferationLipopolysaccharidesMiceNitric OxideTranscriptomeLipopolysaccharidesNF-kappa BNitric OxideFerroptosisMetabolomicsMicroglial inflammationMultiple sclerosisNF-κB signalingTranscriptomicsα-dimorphecolic acid

Identifiers

PMID40038710
PMCPMC11877847

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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.