Blood-brain barrier (BBB) disruption and brain edema formation play important roles in the secondary neuronal death and neurological dysfunction induced by intracerebral hemorrhage (ICH). Poloxamer 188 (P188), a multiblock copolymer surfactant, has been shown to be capable of sealing damaged cell membranes and decrease neuronal cell death. In this study, we explored whether P188 had a protective effect against ICH and its underlying mechanisms. Male ICR mice were subjected to infusion of type IV collagenase (to induce ICH) of saline (for shams) into the left striatum. The results showed that P188-12 mg post-treatment by tail intravenous injection significantly ameliorated the neurological symptoms and brain edema, attenuated BBB permeability, and decreased cell insults and injury volume at 24 and 72 h after ICH. Furthermore, P188 maintained the protein levels of tight junction (TJ) proteins including claudin-5, occludin, and zonula occludens-1, and reversed the increases of nuclear factor-kappaB (NF-κB), matrix metalloproteinase (MMP)-2, and MMP-9 protein expression at 72 h post ICH. Immunofluorescence showed P188 treatment rearranged the structure of TJ proteins in a continuous and linear pattern. Therefore, the present study concludes that P188 can protect against ICH, and the protective effect was associated with preventing BBB disruption through NF-κB-MMPs-mediated TJ proteins degradation.

Postmortem interval (PMI) evaluation remains a challenge in the forensic community due to the lack of efficient methods. Studies have focused on chemical analysis of biofluids for PMI estimation; however, no reports using spectroscopic methods in pericardial fluid (PF) are available. In this study, Fourier transform infrared (FTIR) spectroscopy with attenuated total reflectance (ATR) accessory was applied to collect comprehensive biochemical information from rabbit PF at different PMIs. The PMI-dependent spectral signature was determined by two-dimensional (2D) correlation analysis. The partial least square (PLS) and nu-support vector machine (nu-SVM) models were then established based on the acquired spectral dataset. Spectral variables associated with amide I, amide II, COO−, C-H bending, and C-O or C-OH vibrations arising from proteins, polypeptides, amino acids and carbohydrates, respectively, were susceptible to PMI in 2D correlation analysis. Moreover, the nu-SVM model appeared to achieve a more satisfactory prediction than the PLS model in calibration; the reliability of both models was determined in an external validation set. The study shows the possibility of application of ATR-FTIR methods in postmortem interval estimation using PF samples.

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