Evidence map›Paper›PMID 40645949›Full record

ArticleTranslational psychiatry2025

Integrative analysis identifies IL-6/JUN/MMP-9 pathway destroyed blood-brain-barrier in autism mice via machine learning and bioinformatic analysis.

Cong Hu, Heli Li, Jinru Cui, Yunjie Li, Feiyan Zhang, Hao Li, Xiaoping Luo, Yan Hao

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Neurofilament Light Chain in Cerebrospinal Fluid and Blood Identifies Patients With Minimal and Overt Hepatic Encephalopathy.Liver international : official journal of the International Association for the Study of the Liver · 2026
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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

8 authors.

Cong Hu *Division of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Heli Li *Division of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jinru CuiDivision of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yunjie LiDivision of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Feiyan ZhangDivision of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hao LiTongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaoping LuoDepartment of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yan HaoDivision of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. haoyaner@163.com.ORCID http://orcid.org/0000-0001-8830-8189

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by social communication deficits and restricted, repetitive behaviors. Growing evidence implicates neuroinflammation-induced blood-brain barrier (BBB) dysfunction as a key pathogenic mechanism in ASD, although the underlying molecular pathways remain poorly understood. This study aimed to identify critical genes linking BBB function and neuroinflammatory activation, with the ultimate goal of evaluating potential therapeutic targets. Through integrative analysis combining differential gene expression profiling with three machine learning algorithms - Least Absolute Shrinkage and Selection Operator (LASSO) regression, Support Vector Machine Recursive Feature Elimination (SVM-RFE), and RandomForest combined with eXtreme Gradient Boosting (XGBoost) - we identified four hub genes, with JUN emerging as a core regulator. JUN demonstrated strong associations with both BBB integrity and microglial activation in ASD pathogenesis. Using a maternal immune activation (MIA) mouse model of ASD, we observed significant downregulation of cortical tight junction proteins ZO-1 and occludin, confirmed through immunofluorescence and qPCR analysis. Bioinformatics analysis revealed a close correlation between JUN and IL-6/MMP-9 signaling in ASD-associated microglial activation. These findings were validated in vivo, with immunofluorescence and qPCR demonstrating elevated IL-6 and MMP-9 expression in ASD mice. Pharmacological intervention using ventricular JNK inhibitor administration effectively downregulated JUN and MMP-9 expression. In vitro studies using IL-6-stimulated BV-2 microglial cells replicated these findings, showing JNK inhibitor-mediated suppression of JUN and MMP-9 upregulation. These results collectively identify the IL-6/JUN/MMP-9 pathway as a specific mediator of barrier dysfunction in ASD, representing a promising target for personalized therapeutic interventions.

Indexed as

Autism Spectrum DisorderBlood-Brain BarrierInterleukin-6Machine LearningMatrix Metalloproteinase 9Proto-Oncogene Proteins c-junAnimalsComputational BiologyDisease Models, AnimalFemaleGene Expression ProfilingMaleMiceMicrogliaSignal TransductionInterleukin-6interleukin-6, mouseMatrix Metalloproteinase 9Mmp9 protein, mouseProto-Oncogene Proteins c-jun

Identifiers

PMID40645949
PMCPMC12254206

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.