Ependymal polarity defects coupled with disorganized ciliary beating drive abnormal cerebrospinal fluid flow and spine curvature in zebrafish.
Haibo XieYunsi KangJunjun LiuMin HuangZhicheng DaiJiale ShiShuo WangLanqin LiYuan LiPengfei ZhengYi SunQize HanJingjing ZhangZezhang ZhuLeilei XuPamela C YelickMuqing CaoChengtian ZhaoPublished in: PLoS biology (2023)
Idiopathic scoliosis (IS) is the most common spinal deformity diagnosed in childhood or early adolescence, while the underlying pathogenesis of this serious condition remains largely unknown. Here, we report zebrafish ccdc57 mutants exhibiting scoliosis during late development, similar to that observed in human adolescent idiopathic scoliosis (AIS). Zebrafish ccdc57 mutants developed hydrocephalus due to cerebrospinal fluid (CSF) flow defects caused by uncoordinated cilia beating in ependymal cells. Mechanistically, Ccdc57 localizes to ciliary basal bodies and controls the planar polarity of ependymal cells through regulating the organization of microtubule networks and proper positioning of basal bodies. Interestingly, ependymal cell polarity defects were first observed in ccdc57 mutants at approximately 17 days postfertilization, the same time when scoliosis became apparent and prior to multiciliated ependymal cell maturation. We further showed that mutant spinal cord exhibited altered expression pattern of the Urotensin neuropeptides, in consistent with the curvature of the spine. Strikingly, human IS patients also displayed abnormal Urotensin signaling in paraspinal muscles. Altogether, our data suggest that ependymal polarity defects are one of the earliest sign of scoliosis in zebrafish and disclose the essential and conserved roles of Urotensin signaling during scoliosis progression.
Keyphrases
- cerebrospinal fluid
- spinal cord
- induced apoptosis
- endothelial cells
- cell cycle arrest
- single cell
- wild type
- cell therapy
- end stage renal disease
- induced pluripotent stem cells
- newly diagnosed
- ejection fraction
- poor prognosis
- cell death
- spinal cord injury
- machine learning
- big data
- transcription factor
- prognostic factors
- neuropathic pain
- subarachnoid hemorrhage
- patient reported outcomes
- electronic health record
- stem cells
- diffusion weighted imaging
- early life
- cell proliferation
- artificial intelligence
- pi k akt
- patient reported