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Purpose Saliva is an attractive sample source for the biomarker-based testing of several diseases, especially oral cancer. Here, we sought to apply multiplexed LC-MRM-MS to precisely quantify 90 disease-related proteins and assess their intra- and interindividual variability in saliva samples from healthy donors. Experimental design We developed two multiplexed LC-MRM-MS assays for 122 surrogate peptides representing a set of disease-related proteins. Saliva samples were collected from 10 healthy volunteers at three different time points (Day 1 morning and afternoon, and Day 2 morning). Each sample was spiked with a constant amount of a 15 N-labeled protein and analyzed by MRM-MS in triplicate. Quantitative results from LC-MRM-MS were calculated by single-point quantification with reference to a known amount of internal standard (heavy peptide). Results The CVs for assay reproducibility and technical variation were 13 and 11%, respectively. The average concentrations of the 99 successfully quantified proteins ranged from 0.28 ± 0.58 ng mL-1 for profilin-2 (PFN2) to 8.55 ±8.96 μg mL-1 for calprotectin (S100A8). For the 90 proteins detectable in >50% of samples, the average CVs for intraday, interday, intraindividual, and interindividual samples were 38%, 43%, 45%, and 69%, respectively. The fluctuations of most target proteins in individual subjects were found to be within ± twofold. Conclusions and clinical relevance Our study elucidated the intra- and interindividual variability of 90 disease-related proteins in saliva samples from healthy donors. The findings may facilitate the further development of salivary biomarkers for oral and systemic diseases.

In order to solve the lubrication problem of the hydrostatic center rest, a optimal design concerning structure of hydrostatic center rest is studied. ANSYS has been used to compute three-dimensional stress and deformation fields of hydrostatic center rest. This research analyzes the stress and deformation of hydrostatic center rest, and it has revealed its stress and deformation distribution law. Results indicate that a characteristic will be improved by optimal design and the reliability of a hydrostatic center rest can be predicted through this method.

Introducing the design of a large turning table. The table structure is combined with three-body, double-ring hydrostatic guide-way consists of inner and outer rings, it has the advanced features of high carrying capacity, high rigidity, high precision and good holding of the second fitting precision. Table rigidity and former six-stage modal shape are resulted by the finite element analysis, the result proves the rationality of the design. The design has been applied to the 25m vertical lathe successfully and obtained a good effect. The design solved lots of questions such as casting and machining and transport of a large table, it has reduced the cost greatly.

Tuberous sclerosis complex (TSC) is an autosomal dominant disorder with a prevalence of 1 in 95,136 in Taiwan. TSC is characterized by hamartomatous lesions in multiple organ systems. Genetic defects in TSC1 and TSC2 genes are the main causes of TSC. A molecular screening protocol using denaturing high-performance liquid chromatography (dHPLC) followed by DNA sequencing is currently performed to locate the genetic lesions in many clinical laboratories. The current screening approach is time consuming and inefficient. In this study, we analyzed all coding exons of TSC1 and TSC2 genes of 30 TSC patients and 47 unaffected family members using the traditional dHPLC protocol and our recently developed diagnostic platform based on high-resolution melting analysis (HRM) followed by bidirectional DNA sequencing. Data indicated that 20 mutations, including 5 mutations in TSC1 (2 sporadic, 1 familial mutation, and 2 of uncertain origin) and 15 mutations in TSC2 (14 sporadic and 1 familial mutation), 8 single-nucleotide polymorphisms (SNPs, including 3 SNPs found in irrelevant individuals without TSC phenotypes studied in the control group), and 3 variants with undetermined significance were identified, including 4 novel mutations. The sensitivities of HRM and dHPLC for TSC mutation screening were estimated as 95% and 75%, respectively. The specificities of HRM and dHPLC for TSC mutation screening were evaluated as 91% and 98%. In addition, results suggested our novel HRM screening protocol to be more economical. In conclusion, we successfully developed a superior approach for TSC genes mutation screening for clinical application.