Evidence map›Paper›PMID 42211123›Full record

ArticleiScience2026

Hardwired differences: Sexually dimorphic neural connectomes in the brain-lung axis.

Tao Wang, Fancheng Meng, Wenting Dong, Mengyang Jiang, Qian Xue, Yong Han, Hui Xu

Abstract read
In one paragraph

Article in iScience, 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

7 authors.

Tao WangDepartment of Neurobiology and Collaborative Innovation Center for Brain Science, School of Basic Medicine, the Fourth Military Medical University, Xian, Shaanxi 710032, China.
Fancheng MengDepartment of Neurobiology and Collaborative Innovation Center for Brain Science, School of Basic Medicine, the Fourth Military Medical University, Xian, Shaanxi 710032, China.
Wenting DongDepartment of Neurobiology and Collaborative Innovation Center for Brain Science, School of Basic Medicine, the Fourth Military Medical University, Xian, Shaanxi 710032, China.
Mengyang JiangDepartment of Neurobiology and Collaborative Innovation Center for Brain Science, School of Basic Medicine, the Fourth Military Medical University, Xian, Shaanxi 710032, China.
Qian XueDepartment of Neurobiology and Collaborative Innovation Center for Brain Science, School of Basic Medicine, the Fourth Military Medical University, Xian, Shaanxi 710032, China.
Yong HanDepartment of Thoracic Surgery, Air Force Medical Center, PLA, the Fourth Military Medical University, Beijing 100142, China.
Hui XuDepartment of Neurobiology and Collaborative Innovation Center for Brain Science, School of Basic Medicine, the Fourth Military Medical University, Xian, Shaanxi 710032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sexual dimorphism in lung physiology and disease is well established; yet, the underlying central circuits remain unexplored. Using retrograde trans-synaptic tracing with pseudorabies virus from the lung combined with whole-brain mapping, we uncovered fundamental sex differences in brain-lung connectivity. Male mice exhibited anterior, cognition-associated networks clustering and hemispheric lateralization, whereas female mice displayed posterior, brainstem-predominant circuits specialized for automatic respiratory control, along with more integrated and modular network architectures. These findings reveal a hardwired neural framework for sex-specific respiratory control, with implications for understanding differential susceptibility to respiratory disease between males and females.

Indexed as

biological sciences

Identifiers

PMID42211123
PMCPMC13214262

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.