Lu Gao

Dr. Lu Gao


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 July 2022 in Bioengineering
Verified
Journal Article
Open access
PDF file
LGLu Gao
Lu Gao
ZCZhiyu Chen
Zhiyu Chen
LZLin Zang
Lin Zang
ZSZhipeng Sun
Zhipeng Sun
QWQing Wang
Qing Wang
GYGuoxia Yu
Guoxia Yu
Background: Midpalatal suture maturation and ossification status is the basis for appraising maxillary transverse developmental status. Methods: We established a midpalatal suture cone-beam computed tomography (CBCT) normalized database of the growth population, including 1006 CBCT files from 690 participants younger than 24 years old. The midpalatal suture region of interest (ROI) labeling was completed by two experienced clinical experts. The CBCT image fusion algorithm and image texture feature analysis algorithm were constructed and optimized. The age range prediction convolutional neural network (CNN) was conducted and tested. Results: The midpalatal suture fusion images contain complete semantic information for appraising midpalatal suture maturation and ossification status during the fast growth and development period. Correlation and homogeneity are the two texture features with the strongest relevance to chronological age. The overall performance of the age range prediction CNN model is satisfactory, especially in the 4 to 10 years range and the 17 to 23 years range, while for the 13 to 14 years range, the model performance is compromised. Conclusions: The image fusion algorithm can help show the overall perspective of the midpalatal suture in one fused image effectively. Furthermore, clinical decisions for maxillary transverse deficiency should be appraised by midpalatal suture image features directly rather than by age, especially in the 13 to 14 years range.

12 November 2022 in Cells
Verified
Journal Article
Open access
PDF file
LGLu Gao
Lu Gao
TXTian-song Xu
Tian-song Xu
LZLiqi Zhang
Liqi Zhang
YLYuchen Li
Yuchen Li
TYTianxing Yan
Tianxing Yan
FCFeng Chen
Feng Chen
The midpalatal suture is mainly responsible for the growth and development of the maxillary and resistance to rapid maxillary expansion (RME). It is essential for clinical researchers to explore the intramembrane ossification and to elucidate the underlying mechanism of the maturation and ossification process of the midpalatal suture to help identify the optimum time and force of RME. However, mechanistic studies associated with the midpalatal suture are rare. The aim of this present study is to create an intramembrane osteogenesis model for the midpalatal suture region of mice. Interestingly, we discovered a type of chondrogenic mesenchymal cell expressing Piezo2, which might be related to the detection of mechanical and external stimuli. This result provides a potential molecular and cellular mechanism that explains why the midpalatal suture is not closed until adulthood. We depict a landscape of mesenchymal cells that might play an important role in the intramembrane osteogenesis of the midpalatal suture and provide new perspectives on midpalate suture maturation and ossification, which might lead to further possibilities for clinical operations.

23 January 2022 in Applied Biochemistry and Biotechnology
Verified
Journal Article
Closed access
PDF file
LGLu Gao
Lu Gao
JYJing Ye
Jing Ye
ZXZhenghua Xiao
Zhenghua Xiao
LHLing He
Ling He
JZJing Zhang
Jing Zhang
GYGang Yang
Gang Yang