Biomarkers Screening and Mechanisms Analysis of the Restraint Stress-Induced Myocardial Injury in Hyperlipidemia ApoE-/- Mice.

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.

Fourier-transform infrared microspectroscopy of pulmonary edema fluid for postmortem diagnosis of diabetic ketoacidosis.

Determination of the cause of death for diabetic ketoacidosis (DKA), a common and fatal acute complication of diabetes mellitus, is a challenging forensic task owing to the lack of characteristic morphological findings at autopsy. In this study, Fourier-transform infrared (FTIR) microspectroscopy coupled with chemometrics was employed to characterize biochemical differences in pulmonary edema fluid from different causes of death to supplement conventional methods and provide an efficient postmortem diagnosis of DKA. With this aim, FTIR spectra in three different situations (DKA-caused death, other causes of death with diabetes history, and other causes of death without diabetes history) were measured. The results of principal component analysis indicated different spectral profiles between these three groups, which mainly exhibited variations in proteins. Subsequently, two binary classification models were established using an algorithm of partial least squares discriminant analysis (PLS-DA) to determine whether decedents had diabetes and whether the diabetic patients died from DKA. Satisfactory prediction results of PLS-DA models demonstrated good differentiation among these three groups. Therefore, it is feasible to make a postmortem diagnosis of DKA and detect diabetes history via FTIR microspectroscopic analysis of the pulmonary edema fluid.

[Relationship between PMI and ATR-FTIR Spectral Changes in Swine Costal Cartilages and Ribs].

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.

[Prevalence of diabetes in Shenzhen between 1997 and 2009].

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.