OBJECTIVETo investigate characteristics of the border mandibular movement of the adolescent with Angle III malocclusion and to find the correlations between craniofacial morphology and border mandibular movement function.

METHODSThe subjects consisted of 21 adolescent patients with Angle III malocclusion in the initial stage of permanent dentition (mean age 12.3 years). 20 adolescents with individual normal occlusion served as control (mean age 12.8 years). The border mandibular movement of all cases in the two groups were traced and recorded by K6-1 Evaluation System and standardized lateral cephalograms were taken.

RESULTSThe results revealed no significant difference in the maximal movement range between two groups, but indicated a positive association between the maximum jaw opening and both the mandible length (Go-Gn) and the L1-MP. The distance from ICP to maximal opening (D) was positively correlated with facial height and the L1-MP. While to adolescents with individual normal occlusion, the wider the maximal jaw opening was, the bigger the posterior facial height and the cephalometric values of mandibular ramus. The distance D positively correlated with the anterior lower facial height.

CONCLUSIONAngle III malocclusion had its characteristics in the tracing and had a specific relationship with the craniofacial morphology.

Adolescent ; Cephalometry ; Dental Occlusion ; Dentition, Permanent ; Face ; Humans ; Malocclusion ; Mandible ; Movement

To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.