Evidence map›Paper›PMID 40595505›Full record

ArticleNature communications2025

A molecularly defined brain circuit module for regulating panic-like defensive state.

Miao Zhao, Li Zhang, Zhenhua Chen, Shuangfeng Zhang, Xinyu Cheng, Meizhu Huang, Xiating Li, Huating Gu, Xuyan Guan, Dandan Geng and 9 more

Abstract read
In one paragraph

Article in Nature communications, 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

19 authors.

Miao Zhao *National Institute of Biological Sciences, Beijing, China.
Li Zhang *National Institute of Biological Sciences, Beijing, China.
Zhenhua Chen *State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
Shuangfeng Zhang *National Institute of Biological Sciences, Beijing, China.
Xinyu Cheng *National Institute of Biological Sciences, Beijing, China.
Meizhu HuangNational Institute of Biological Sciences, Beijing, China.
Xiating LiBeijing Key Laboratory of Neural Regeneration and Repair, Department of Neurobiology, School of Basic Medical Sciences, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
Huating GuNational Institute of Biological Sciences, Beijing, China.
Xuyan GuanNational Institute of Biological Sciences, Beijing, China.
Dandan GengKey Laboratory of Neural and Vascular Biology, Ministry of Education, Department of Biochemistry and Molecular Biology, Hebei Medical University, Shijiazhuang, China.
Yaning LiKey Laboratory of Neural and Vascular Biology, Ministry of Education, Department of Biochemistry and Molecular Biology, Hebei Medical University, Shijiazhuang, China.
Yiheng TuCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Zhiyong XieState Key Laboratory of Medical Neurobiology, Department of Psychological Medicine, Zhongshan Hospital, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
Fan ZhangKey Laboratory of Neural and Vascular Biology, Ministry of Education, Department of Biochemistry and Molecular Biology, Hebei Medical University, Shijiazhuang, China.ORCID http://orcid.org/0000-0003-0458-6742
Huijie MaKey Laboratory of Neural and Vascular Biology, Ministry of Education, Department of Biochemistry and Molecular Biology, Hebei Medical University, Shijiazhuang, China.
Xiaoming LiDepartment of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Dapeng LiBeijing Key Laboratory of Neural Regeneration and Repair, Department of Neurobiology, School of Basic Medical Sciences, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China. lidapeng@nibs.ac.cn.
Qing-Feng WuState Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China. qingfengwu@cas.ac.cn.
Peng CaoNational Institute of Biological Sciences, Beijing, China. caopeng@nibs.ac.cn.ORCID http://orcid.org/0000-0001-7739-6857

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31925019
6 · The paper itself

Abstract

Panic is an episode of strong defensive state, characterized by intense fear and severe physical symptoms such as elevated cardiorespiratory activities. How the brain generates panic state remains poorly understood. Here, we developed a robot-based experimental paradigm to evoke panic-like defensive state in mice. When stimulated by the robot, mice exhibited jumping escapes and elevated cardiorespiratory activities. With this paradigm, we identified Cbln2-expressing (Cbln2+) neurons in the posterior hypothalamic nucleus (PHN) as a key neuronal population essential for the induction of panic-like defensive state. Activation of Cbln2+ PHN neurons induced behavioral and physical symptoms of panic-like defensive state. These neurons were strongly activated by noxious mechanical stimuli and encode jumping escape vigor. They were synaptically innervated by anxiety-associated brain areas and provoked panic-like defensive state via their projection to the periaqueductal gray. Together, our results reveal a molecularly defined circuit module that regulates the panic-like defensive state in mice.

Indexed as

BrainPanicAnimalsAnxietyBehavior, AnimalEscape ReactionFearMaleMiceMice, Inbred C57BLNerve Tissue ProteinsNeuronsPeriaqueductal GrayNerve Tissue Proteins

Identifiers

PMID40595505
PMCPMC12216190

What OpenQuestion holds

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Registered trials

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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.