Publications by authors named "Yingxiang Liang"

Enantioenriched 2-azabicyclo[3.1.0]hexanes are accessed from readily available allyl substituted α-isocyanoesters by intramolecular (1 + 2) cycloaddition with the olefinic moiety and isocyano carbon as the respective C2 and C1 units.

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Background: Progressive hemifacial atrophy often causes lip vermilion defects in patients. In this study, we described a one-stage repair method for lip defects in progressive hemifacial atrophy using a lip vermilion mucosal flap or combined dermal fat flap graft.

Patients And Methods: Patients diagnosed with progressive hemifacial atrophy with lip vermilion defects from 2010 to 2022 were included in this study.

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Objective: Mandibular distraction osteogenesis (MDO) is a powerful tool for the correction of hemifacial microsomia (HFM). The temporomandibular joint (TMJ) is the focus of attention in the diagnosis and treatment of HFM. This observational retrospective cross-sectional study aimed to investigate morphologic changes in TMJ post-MDO in type IIa HFM.

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A cardiac angiosarcoma is usually located in the right atrium and tends to involve the right coronary artery. Our goal was to report a novel reconstruction technique after en bloc resection of a cardiac angiosarcoma with right coronary artery invasion. This technique includes orthotopic reconstruction of the invaded artery and atrial patch suturing onto the epicardium lateral to the reconstructed right coronary artery.

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Objective: Alcohol is a recognized teratogen, and alcohol exposure increases the risk for hemifacial microsomia (HFM) of the fetus during maternal pregnancy. The present study aimed to explore potential mechanisms and verify hub genes of HFM associated with alcohol by bioinformatics methods.

Methods: First, HFM and alcohol pathogenic genes were obtained.

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Objective: This thesis addresses a neglected aspect of bioinformatics research of hemifacial microsomia (HFM). Existing research stops short of prediction based on big data. This study combines multiple databases to explore underlying pathogenesis using bioinformatic approach.

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