The samples of muscular tissue from pork,beef and lamb which were closely related in the genetic relationship were analyzed by ultra performance liquid chromatography-tandem mass spectrometric (UPLC-MS) technique.The specific peptide biomarkers of pig meat species were found and confirmed.Proteins from three pure meat samples were extracted and digested using trypsin,the digested proteins were identified by UPLC-triple time-of-flight (TOF)-MS,and the total ion chromatogram (TIC) was searched and analyzed against the UniProt database.Three high abundant homologous proteins of three species and 8 potential peptide biomarkers of pork were found.A multiple reaction monitoring (MRM) QTRAP-MS method was established to confirm the specificity of potential peptide biomarkers.As a result,five peptide biomarkers of pig species meat were confirmed,three of which were not reported.

Objective To study the effect from personalized insoles with different structural heel pads on plantar stress concentration of patients with heel pain. Methods Base on statistics and finite element analysis method, the finite element model of foot and personalized insoles for patient with heel pain were established. The effects from different insoles on stress of soft tissues and plantar fascia were simulated. Results The internal stress of plantar soft tissues was higher than that of plantar epidermis, and the stress of the third plantar fascia was the highest. During barefoot standing, the internal peak stress of plantar soft tissues was 1.34 times of plantar epidermis, and the stress of the third plantar fascia was 1.50 MPa. The result of orthogonal experiment showed that the optimized insole model could reduce the internal peak stress of plantar soft tissues by 51%, meanwhile relieve the stress of the third plantar fascia by 11.3%. Conclusions The optimum scheme of personalized buffer insole is the design of vertical ellipse and honeycomb groove. Such structure can assist the absorption or buffering of concussion from calcaneal fat pad, and relieve the plantar stress concentration and tension of the plantar fascia. This study is helpful to understand plantar stress distributions of patients with heel pain, which is of great significance to the study of pathology and prevention of heel pain.

Background::Programmed death 1 (PD-1) blockade plus chemotherapy has become the new first-line standard of care for patients with advanced non-small-cell lung cancer (NSCLC). Yet not all NSCLC patients benefit from this regimen. This study aimed to investigate the predictors of PD-1 blockade plus chemotherapy in untreated advanced NSCLC.Methods::We integrated clinical, genomic, and survival data from 287 patients with untreated advanced NSCLC who were enrolled in one of five registered phase 3 trials and received PD-1 blockade plus chemotherapy or chemotherapy alone. We randomly assigned these patients into a discovery cohort ( n = 125), a validation cohort ( n = 82), and a control cohort ( n = 80). The candidate genes that could predict the response to PD-1 blockade plus chemotherapy were identified using data from the discovery cohort and their predictive values were then evaluated in the three cohorts. Immune deconvolution was conducted using transcriptome data of 1014 NSCLC patients from The Cancer Genome Atlas dataset. Results::A genomic variation signature, in which one or more of the 15 candidate genes were altered, was correlated with significantly inferior response rates and survival outcomes in patients treated with first-line PD-1 blockade plus chemotherapy in both discovery and validation cohorts. Its predictive value held in multivariate analyses when adjusted for baseline parameters, programmed cell death ligand 1 (PD-L1) expression level, and tumor mutation burden. Moreover, applying both the 15-gene panel and PD-L1 expression level produced better performance than either alone in predicting benefit from this treatment combination. Immune landscape analyses revealed that tumors with one or more variation in the 15-gene panel were associated with few immune infiltrates, indicating an immune-desert tumor microenvironment.Conclusion::These findings indicate that a 15-gene panel can serve as a negative prediction biomarker for first-line PD-1 blockade plus chemotherapy in patients with advanced NSCLC.