Evidence map›Paper›PMID 42801528›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

SCTR-Expressing Astrocyte-Serotonergic Neuron Signaling Drives Sexual Dimorphism in Depression Through KAT7/H4ac-Foxc2 Epigenetic Axis in an AMPK-Dependent Manner.

Fantao Meng, Jing Liu, Juanjuan Dai, Min Wu, Wentao Wang, Mengdi Zhang, Shujun Jiang, Yifan Cao, Lihong Xu, Lin Du and 6 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

16 authors.

Fantao Meng *Department of Rehabilitation Medicine, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Jing Liu *Department of Rehabilitation Medicine, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Juanjuan DaiDepartment of Rehabilitation Medicine, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Min WuNeurosurgery, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Wentao WangDepartment of Rehabilitation Medicine, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Mengdi ZhangDepartment of Rehabilitation Medicine, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Shujun JiangDepartment of Physiology, Binzhou Medical University, Shandong, China.
Yifan CaoMedical Research Center, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Lihong XuMedical Research Center, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Lin DuMedical Research Center, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Dan WangDepartment of Rehabilitation Medicine, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Di ZhaoDepartment of Rehabilitation Medicine, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Gaofeng QinMedical Research Center, Binzhou Medical University Hospital, Binzhou, Shandong, China.ORCID https://orcid.org/0000-0001-6482-4242
Dong WangMedical Research Center, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Wei LiDepartment of Rehabilitation Medicine, Binzhou Medical University Hospital, Binzhou, Shandong, China.ORCID https://orcid.org/0000-0002-6378-7723
Chen LiDepartment of Rehabilitation Medicine, Binzhou Medical University Hospital, Binzhou, Shandong, China.ORCID https://orcid.org/0000-0001-5385-6249

Funding

Medical and Health Technology Development Program in Shandong Province 202403091112Medical and Health Technology Development Program in Shandong Province 202503091060National Natural Science Foundation of China 82171521National Natural Science Foundation of China 82371539Shandong Provincial Key Medical and Health Laboratory of Research in Neuropsychiatric Disorders (Binzhou Medical University Hospital)Shandong Provincial Natural Science Foundation ZR2021MH073Shandong Provincial Natural Science Foundation ZR2022YQ65Shandong Traditional Chinese Medicine Scientific and Technological Project Q-2023005Taishan Scholars Project of Shandong Province tsqn202211368
6 · The paper itself

Abstract

Peripheral hormonal dysfunction is associated with multiple neurological disorders, yet how astrocytes sense circulating stress-related hormones to influence depression pathogenesis remains incompletely understood. Here, we showed that disruption of secretin receptor (SCTR) signaling in dorsal raphe nucleus (DRN) astrocytes promotes depression-like behaviors. We identified AMPKα1 as a key downstream effector of astrocytic SCTR signaling and demonstrate its role in regulating astrocytic secretion of metallothionein-1 (Mt1) and downstream megalin-mediated AMPKα2 signaling in serotonergic neurons. We further identified the transcription factor Foxc2 as a downstream target of neuronal AMPKα2 that modulates depressive-like behaviors through suppression of serotonergic activity and reduced neuronal excitability. Mechanistically, AMPKα2 regulates phosphorylation of the acetyltransferase KAT7, thereby modulating histone H4 acetylation and Foxc2 transcription. Together, these findings delineate an astrocyte-neuron signaling axis linking SCTR-AMPKα1 signaling in astrocytes to epigenetic regulation of Foxc2 by AMPKα2-KAT7/H4ac signaling in serotonergic neurons, providing fundamental insight into circuit-level mechanisms underlying depression.

Indexed as

AMPKα1/2astrocyte–serotonergic neuron communicationdepressionFoxc2neuronal excitabilitySCTR signalingserotonin neurotransmission

Identifiers

PMID42801528
PMCPMC13616394

What OpenQuestion holds

Textmetadata
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.