Author
Listed:
- Pengxiang Chen
(Zhejiang University School of Medicine
Zhejiang University Medical Center
Zhejiang University
Zhejiang University School of Medicine)
- Wei Wang
(Zhejiang University School of Medicine
Zhejiang University Medical Center
Zhejiang University)
- Rui Liu
(Zhejiang University School of Medicine
Zhejiang University Medical Center
Zhejiang University)
- Jiahui Lyu
(Fudan University)
- Lei Zhang
(Zhejiang University School of Medicine
Zhejiang University Medical Center
Zhejiang University
Zhejiang University School of Medicine)
- Baizhou Li
(Zhejiang University School of Medicine)
- Biying Qiu
(Zhejiang University School of Medicine
Zhejiang University Medical Center
Zhejiang University
Zhejiang University School of Medicine)
- Anhao Tian
(Zhejiang University School of Medicine
Zhejiang University Medical Center
Zhejiang University)
- Wenhong Jiang
(Zhejiang University School of Medicine
Zhejiang University Medical Center
Zhejiang University
Zhejiang University School of Medicine)
- Honggang Ying
(Zhejiang University School of Medicine
Zhejiang University Medical Center
Zhejiang University)
- Rui Jing
(Zhejiang University School of Medicine
Zhejiang University Medical Center
Zhejiang University
Zhejiang University School of Medicine)
- Qianqian Wang
(Laboratory Animal Center of Zhejiang University)
- Keqing Zhu
(Zhejiang University School of Medicine)
- Ruiliang Bai
(Zhejiang University School of Medicine)
- Linghui Zeng
(Zhejiang University City College)
- Shumin Duan
(Zhejiang University School of Medicine
Zhejiang University Medical Center
Zhejiang University
Fudan University)
- Chong Liu
(Zhejiang University School of Medicine
Zhejiang University Medical Center
Zhejiang University
Zhejiang University City College)
Abstract
Animals constantly receive various sensory stimuli, such as odours, sounds, light and touch, from the surrounding environment. These sensory inputs are essential for animals to search for food and avoid predators, but they also affect their physiological status, and may cause diseases such as cancer. Malignant gliomas—the most lethal form of brain tumour1—are known to intimately communicate with neurons at the cellular level2,3. However, it remains unclear whether external sensory stimuli can directly affect the development of malignant glioma under normal living conditions. Here we show that olfaction can directly regulate gliomagenesis. In an autochthonous mouse model that recapitulates adult gliomagenesis4–6 originating in oligodendrocyte precursor cells (OPCs), gliomas preferentially emerge in the olfactory bulb—the first relay of brain olfactory circuitry. Manipulating the activity of olfactory receptor neurons (ORNs) affects the development of glioma. Mechanistically, olfaction excites mitral and tufted (M/T) cells, which receive sensory information from ORNs and release insulin-like growth factor 1 (IGF1) in an activity-dependent manner. Specific knockout of Igf1 in M/T cells suppresses gliomagenesis. In addition, knocking out the IGF1 receptor in pre-cancerous mutant OPCs abolishes the ORN-activity-dependent mitogenic effects. Our findings establish a link between sensory experience and gliomagenesis through their corresponding sensory neuronal circuits.
Suggested Citation
Pengxiang Chen & Wei Wang & Rui Liu & Jiahui Lyu & Lei Zhang & Baizhou Li & Biying Qiu & Anhao Tian & Wenhong Jiang & Honggang Ying & Rui Jing & Qianqian Wang & Keqing Zhu & Ruiliang Bai & Linghui Zen, 2022.
"Olfactory sensory experience regulates gliomagenesis via neuronal IGF1,"
Nature, Nature, vol. 606(7914), pages 550-556, June.
Handle:
RePEc:nat:nature:v:606:y:2022:i:7914:d:10.1038_s41586-022-04719-9
DOI: 10.1038/s41586-022-04719-9
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Cited by:
- Melanie Schoof & Shweta Godbole & Thomas K. Albert & Matthias Dottermusch & Carolin Walter & Annika Ballast & Nan Qin & Marlena Baca Olivera & Carolin Göbel & Sina Neyazi & Dörthe Holdhof & Catena Kre, 2023.
"Mouse models of pediatric high-grade gliomas with MYCN amplification reveal intratumoral heterogeneity and lineage signatures,"
Nature Communications, Nature, vol. 14(1), pages 1-13, December.
- Shu Wang & Xiaoxiang Liu & Yueying Li & Xinquan Sun & Qi Li & Yinhua She & Yixuan Xu & Xingxin Huang & Ruolan Lin & Deyong Kang & Xingfu Wang & Haohua Tu & Wenxi Liu & Feng Huang & Jianxin Chen, 2023.
"A deep learning-based stripe self-correction method for stitched microscopic images,"
Nature Communications, Nature, vol. 14(1), pages 1-15, December.
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