Evidence map›Paper›PMID 40140607›Full record

ArticleNature neuroscience2025

Projectome-based characterization of hypothalamic peptidergic neurons in male mice.

Zhuolei Jiao, Taosha Gao, Xiaofei Wang, Ao Wang, Yawen Ma, Li Feng, Le Gao, Lingfeng Gou, Wen Zhang, Nasim Biglari and 48 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Hypothalamic control of arousal.Reviews in endocrine & metabolic disorders · 2026
    Review
  3. Review
  4. Hypothalamic regulation of energy homeostasis: Quo vadis.Reviews in endocrine & metabolic disorders · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Tunable dual-AAV sparse labeling of PVFrontiers in neural circuits · 2025
    Article
  12. Review
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

58 authors.

Zhuolei Jiao *Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0009-0002-3506-3493
Taosha Gao *Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0009-0009-8260-6797
Xiaofei WangInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Ao WangInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Yawen MaInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Li FengInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Le GaoInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0003-0271-5424
Lingfeng GouInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0002-9952-9443
Wen ZhangInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Nasim BiglariMax Planck Institute for Metabolism Research, Cologne, Germany.
Emma E BoxerDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Lukas SteuernagelMax Planck Institute for Metabolism Research, Cologne, Germany.ORCID http://orcid.org/0000-0003-0043-1436
Xiaojing DingInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Zixian YuInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Mingjuan LiInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Mengtong GaoInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Mingkun HaoInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Hua ZhouInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Xuanzi CaoInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Shuaishuai LiInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Tao JiangHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China.
Jiamei QiHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China.
Xueyan JiaHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China.ORCID http://orcid.org/0000-0002-1221-6357
Zhao FengHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China.
Biyu RenInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Yu ChenInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0002-2641-6771
Xiaoxue ShiInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Dan WangInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Xinran WangInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Luyao HanInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Yikai LiangInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Liuqin QianInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Chenxi JinInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Jiawen HuangInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Wei DengInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Congcong WangInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
E LiInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Yue HuInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0009-0009-2806-2557
Zi TaoInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Humingzhu LiInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Xiang YuInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0003-1225-7666
Min XuInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0002-6936-7543
Hung-Chun ChangInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Yifeng ZhangInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Huatai XuInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0002-1113-0455
Jun YanInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0002-0405-0502
Anan LiHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China.ORCID http://orcid.org/0000-0002-5877-4813
Qingming LuoHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China.ORCID http://orcid.org/0000-0002-6725-9311
Ron StoopDepartment of Psychiatry, Center for Psychiatric Neuroscience, Lausanne University Hospital Center (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-7068-7667
Scott M SternsonDepartment of Neurosciences, Howard Hughes Medical Institute, University of California, San Diego, La Jolla, CA, USA.
Jens C BrüningMax Planck Institute for Metabolism Research, Cologne, Germany.ORCID http://orcid.org/0000-0002-6619-0092
David J AndersonDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0001-6175-3872
Mu-Ming PooInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Yidi SunInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China. ydsun@ion.ac.cn.ORCID http://orcid.org/0000-0002-4191-2917
Shengjin XuInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China. sxu@ion.ac.cn.ORCID http://orcid.org/0000-0003-2273-3021
Hui GongHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China. huigong@brainsmatics.org.ORCID http://orcid.org/0000-0001-5519-6248
Yan-Gang SunInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China. yangang.sun@ion.ac.cn.ORCID http://orcid.org/0000-0003-0768-7733
Xiaohong XuInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China. xiaohongxu46@gmail.com.ORCID http://orcid.org/0000-0002-2447-3529

Funding

>Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) No. 2018SHZDZX05
6 · The paper itself

Abstract

The hypothalamus coordinately regulates physiological homeostasis and innate behaviors, yet the detailed arrangement of hypothalamic axons remains unclear. Here we mapped the whole-brain projections of over 7,000 hypothalamic neurons expressing distinct neuropeptides in male mice, identifying 2 main classes and 31 types using single-neuron projectome analysis. These classes/types exhibited regionally biased soma distribution and specific neuropeptide enrichment. Notably, many projectome types extended long-range axon collaterals to distinct brain regions, allowing single axons to co-regulate multiple targets. We uncovered topographic organization of certain peptidergic axons at specific targets, along with diverse single-neuron projectome patterns in Orexin, Agrp and Pomc populations. Furthermore, hypothalamic peptidergic neurons showed correlated innervation of subdomains in the periaqueductal gray and organized into modular subnetworks within the hypothalamus, providing a structural basis for coordinated outputs. This dataset highlights the complexity of hypothalamic axonal projections and lays a foundation for future investigation of the circuit mechanisms underlying hypothalamic functions.

Indexed as

HypothalamusNeuronsNeuropeptidesAgouti-Related ProteinAnimalsAxonsMaleMiceMice, Inbred C57BLMice, TransgenicNeural PathwaysOrexinsPro-OpiomelanocortinAgouti-Related ProteinNeuropeptidesOrexinsPro-Opiomelanocortin

Identifiers

What Socratic 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 Socratic graph.