Liang Lyu

Dr. Liang Lyu

Eighth Clinical Division (Shijingshan Clinical Division), Peking University School and Hospital of Stomatology, Beijing, China
orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

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

Representative Publications

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16 January 2025 in Bioengineering
Verified
Journal Article
Open access
PDF file
GYGengchen Yang
Gengchen Yang
Liang LyuLiang Lyu
Liang Lyu
AWAonan Wen
Aonan Wen
YWYong Wang
Yong Wang
YWYong Wang
Yong Wang
DLDawei Liu
Dawei Liu
Aim: The purpose of this study was to evaluate the accuracy and efficacy of a new wireframe template methodology in analyzing three-dimensional facial soft tissue asymmetry. Materials and methods: Three-dimensional facial soft tissue data were obtained for 24 patients. The wireframe template was established by identifying 34 facial landmarks and then forming a template on the face with the MeshLab 2020 software. The angle asymmetry index was automatically scored using the template. The mirroring and overlapping technique is accepted as the golden standard method to diagnose facial asymmetry by acquiring deviation values of one’s face. Consistency rates between the two methodologies were determined through a statistical comparison of the angle asymmetry index and deviation values. Results: Overall consistency rates in the labial, mandibular angle, cheek, chin, and articular regions were 87.5%, 95.8%, 87.5%, 91.7%, and 100%, respectively. Regions with consistency rates in three dimensions of more than 85% are the x-axis and the z-axis of all regions and the y-axis of the mandibular angle, chin, and articular region. Conclusions: Soft tissue facial asymmetry can be diagnosed accurately and effectively by using a three-dimensional soft tissue spatial angle wireframe template. Precise localization of asymmetry can be offered, and indiscernible tiny asymmetry can be identified.

12 August 2026 in Advanced Healthcare Materials
Verified
Journal Article
Open access
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XDXiaoyang Ding
Xiaoyang Ding
ZSZhiqiang Song
Zhiqiang Song
JLJing Li
Jing Li
MZMingjin Zhang
Mingjin Zhang
Liang LyuLiang Lyu
Liang Lyu
DLDawei Liu
Dawei Liu
The repair of diabetic bone defects remains challenging due to disrupted bone immune homeostasis and increased susceptibility to infection. Under hyperglycemic conditions, the immune microenvironment fails to switch between the pro‐inflammatory environment required for pathogen clearance and the anti‐inflammatory environment for osteogenesis. Here, a glucose‐responsive hydrogel (PEG‐ZnO‐sita) is developed by integrating zinc oxide (ZnO) and sitagliptin into a network formed by dopamine‐modified tetra‐armed poly(ethylene glycol) succinimidyl glutarate (DA‐PEG‐SG) and phenylboronic acid‐modified gelatin (PBA‐Gel). PEG‐ZnO‐sita, enabled by amidation, phenylboronic ester bonds, and metal‐catechol coordination, confers rapid gelation, injectability, mechanical stability, self‐healing, and robust tissue adhesion, adapting to the local complexity at the bone defect. In a diabetic microenvironment, the rapid breakage of boronate ester bonds triggers the early burst release of Zn 2+ to inhibit infection by promoting M1 polarization, along with sitagliptin‐intervening glucose regulation. Whereafter, the sustained Zn 2+ and sitagliptin release induce M2 polarization and facilitate osteogenic differentiation, demonstrating a self‐adaptive strategy in response to inflammatory environments. Both in vitro and in vivo studies confirm that PEG‐ZnO‐sita effectively promotes bone regeneration by local hyperglycemic microenvironment modulation and sequential regulation of macrophage polarization. So, this temporal immunoregulation of hyperglycemia‐immune‐osteogenic cascade presents a promising strategy for diabetic infected bone defects.

9 September 2026 in BMC Oral Health
Verified
Journal Article
Open access
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QLQiang Li
Qiang Li
KWKan Wang
Kan Wang
JZJiajia Zheng
Jiajia Zheng
Liang LyuLiang Lyu
Liang Lyu
XYXue Yang
Xue Yang
YPYinfei Pu
Yinfei Pu
Although the emergency management of third-molar pericoronitis often requires short-term follow-up, the frequency of return visits per patient is rarely re

27 August 2026 in Bioengineering
Verified
Journal Article
Open access
PDF file
WDWeijing Dang
Weijing Dang
Liang LyuLiang Lyu
Liang Lyu
YSYong Shen
Yong Shen
JWJi Wang
Ji Wang
YYYi Yu
Yi Yu
DLDawei Liu
Dawei Liu
Repeatable acquisition of smiling and rest-related facial states is essential for longitudinal three-dimensional (3D) facial imaging, yet the effect of task instructions may depend on the state and measurement. This within-participant study compared conventional (CONV) and state-specific phoneme-guided (PHON) acquisition in 162 adults. For SMILE, CONV elicited a posed smile, whereas PHON used /tʃ/ articulation followed by maintenance of the resulting perioral configuration; for the REST-related condition, CONV elicited relaxed rest, whereas PHON used sustained /m/ to define a closed-lip reference configuration rather than unconstrained physiological rest. Each protocol–state condition was recorded twice. Within-session repeatability was characterized by absolute error between repeated acquisitions, technical error of measurement, intraclass correlation coefficient [ICC(2,1)], and Bland–Altman agreement. State-specific protocol differences were assessed using paired Wilcoxon signed-rank tests with Holm correction. During SMILE, PHON reduced median error for the 3D Sn–Gn distance (3.79 vs. 2.36 mm), interlabial distance (3.48 vs. 1.84 mm), and sagittal lip step (1.33 vs. 0.66 mm; adjusted p < 0.001), but increased commissure-distance error (1.50 vs. 1.89 mm; adjusted p = 0.007). During the REST-related condition, no prespecified linear outcome differed after correction. Phoneme guidance changed, rather than uniformly improved, repeatability, and its effect depended on facial state and outcome.