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Objective To explore the biomarkers and potential mechanisms of chronic restraint stress- induced myocardial injury in hyperlipidemia ApoE-/- mice. Methods The hyperlipidemia combined with the chronic stress model was established by restraining the ApoE-/- mice. Proteomics and bioinformatics techniques were used to describe the characteristic molecular changes and related regulatory mechanisms of chronic stress-induced myocardial injury in hyperlipidemia mice and to explore potential diagnostic biomarkers. Results Proteomic analysis showed that there were 43 significantly up-regulated and 58 significantly down-regulated differentially expressed proteins in hyperlipidemia combined with the restraint stress group compared with the hyperlipidemia group. Among them, GBP2, TAOK3, TFR1 and UCP1 were biomarkers with great diagnostic potential. KEGG pathway enrichment analysis indicated that ferroptosis was a significant pathway that accelerated the myocardial injury in hyperlipidemia combined with restraint stress-induced model. The mmu_circ_0001567/miR-7a/Tfr-1 and mmu_circ_0001042/miR-7a/Tfr-1 might be important circRNA-miRNA-mRNA regulatory networks related to ferroptosis in this model. Conclusion Chronic restraint stress may aggravate myocardial injury in hyperlipidemia mice via ferroptosis. Four potential biomarkers are selected for myocardial injury diagnosis, providing a new direction for sudden cardiac death (SCD) caused by hyperlipidemia combined with the restraint stress. [ABSTRACT FROM AUTHOR]

The researches on postmortem interval （PMI） estimation are very important and meaningful in forensic science. PMI estimation is also an important issue that must be solved in practice of forensic pathology. There are many defects existing in traditional methods for PMI estimation, so it is imperative to introduce new pathways. With the emergence of various new technologies, the researches on PMI estimation have a tendency from simple to complex with a growth of data. The present review firstly summarizes a series of methods used for PMI estimation, and then gives an outlook for the application of artificial intelligence algorithms in this field.

Objective To analyse the relationship between Fourier transform infrared （FTIR） spectrum of rat’s spleen tissue and postmortem interval （PMI） for PMI estimation using FTIR spectroscopy combined with data mining method. Methods Rats were sacrificed by cervical dislocation, and the cadavers were placed at 20 ℃. The FTIR spectrum data of rats’ spleen tissues were taken and measured at different time points. After pretreatment, the data was analysed by data mining method. Results The absorption peak intensity of rat’s spleen tissue spectrum changed with the PMI, while the absorption peak position was unchanged. The results of principal component analysis （PCA） showed that the cumulative contribution rate of the first three principal components was 96%. There was an obvious clustering tendency for the spectrum sample at each time point. The methods of partial least squares discriminant analysis （PLS-DA） and support vector machine classification （SVMC） effectively divided the spectrum samples with different PMI into four categories （0-24 h, 48-72 h, 96-120 h and 144-168 h）. The determination coefficient （R2） of the PMI estimation model established by PLS regression analysis was 0.96, and the root mean square error of calibration （RMSEC） and root mean square error of cross validation （RMSECV） were 9.90 h and 11.39 h respectively. In prediction set, the R2 was 0.97, and the root mean square error of prediction （RMSEP） was 10.49 h. Conclusion The FTIR spectrum of the rat’s spleen tissue can be effectively analyzed qualitatively and quantitatively by the combination of FTIR spectroscopy and data mining method, and the classification and PLS regression models can be established for PMI estimation.

Objectives: To explore the biomarkers and potential mechanisms of chronic restraint stress-induced myocardial injury in hyperlipidemia ApoE -/- mice., Methods: The hyperlipidemia combined with the chronic stress model was established by restraining the ApoE -/- mice. Proteomics and bioinformatics techniques were used to describe the characteristic molecular changes and related regulatory mechanisms of chronic stress-induced myocardial injury in hyperlipidemia mice and to explore potential diagnostic biomarkers., Results: Proteomic analysis showed that there were 43 significantly up-regulated and 58 significantly down-regulated differentially expressed proteins in hyperlipidemia combined with the restraint stress group compared with the hyperlipidemia group. Among them, GBP2, TAOK3, TFR1 and UCP1 were biomarkers with great diagnostic potential. KEGG pathway enrichment analysis indicated that ferroptosis was a significant pathway that accelerated the myocardial injury in hyperlipidemia combined with restraint stress-induced model. The mmu_circ_0001567 / miR-7a / Tfr-1 and mmu_circ_0001042 / miR-7a / Tfr-1 might be important circRNA-miRNA-mRNA regulatory networks related to ferroptosis in this model., Conclusions: Chronic restraint stress may aggravate myocardial injury in hyperlipidemia mice via ferroptosis. Four potential biomarkers are selected for myocardial injury diagnosis, providing a new direction for sudden cardiac death (SCD) caused by hyperlipidemia combined with the restraint stress.

Objective: To analyze postmortem chemical changes in Landrace costal cartilages and ribs using attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy, and to provide a novel technique for estimation of postmortem interval (PMI)., Methods: The swines were sacrificed by hemorrhage and their costal cartilages and ribs were kept in 20 degrees C. The chemical analysis of the costal cartilages and ribs were performed using ATR-FTIR every 72 h. The correlation between the certain spectral parameters and PMI was also analyzed. The time-dependent changes of costal cartilages were more significant than ribs., Results: There were no obvious changes for the main absorbance bands position, and some absorbance band ratios showed time-dependent changes and significant correlations with the PMI., Conclusion: ATR-FTIR has the ability to analyze postmortem chemical changes of the swine costal cartilages and ribs, and it can be a new method to estimate PMI based on spectroscopy.

Objective: To analyze the trend of prevalence and major risk factors for diabetes between 1997 and 2009 in Shenzhen., Methods: A total sample of 7956 and 8487 residents aged from 20 to 69 years were selected using multi-stage cluster sampling from two cross-sectional chronic diseases survey in Shenzhen in 1997 and 2009 respectively. The variation of prevalence between different age groups (divided into a 5-year age group) were compared. The effect of risk factors was evaluated by population attributable risk percentage (PARP), and time trend of PARP for risk factors were analyzed., Results: Compared with that in 1997, the aged-adjusted prevalence of diabetes has increased from 3.85% (306/7956) to 5.21% (441/8487) in 2009 (χ(2) = 17.54, P < 0.001). The prevalence in age group 50 - 54, 60 - 64, and 65 - 69 years increased significantly from 7.88% (35/444), 8.55% (36/421) and 11.34 (33/291) to 12.09% (59/488), 14.63% (55/376) and 20.71% (70/338) respectively (χ(2) = 4.54, 7.25 and 10.01, P < 0.05). After controlling for age, the rates of abdominal obesity, family history of diabetes, dyslipidemia and hypertension increased from 21.56% (1715/7956), 4.39% (349/7956), 26.34% (2096/7956) and 11.53% (917/7956) to 31.88% (2706/8487), 12.84% (1090/8487), 41.38%(3512/8487) and 14.61% (1240/8487) respectively (χ(2) = 5.52, 14.83, 18.38 and 20.22, P < 0.01). For diabetes, the PARP of aging, dyslipidemia and abdominal obesity were 41.55%, 29.25% and 25.10% respectively., Conclusion: The prevalence of diabetes in Shenzhen increases rapidly and more patients are found in younger age. The rise of diabetes was mainly attributed to aging and increasing exposures to risk factors.