Correlation of expressions of S100A8 and S100A9 and its prognostic potential in nasopharyngeal carcinoma

Purpose: To investigate the expressions of S100 calcium-binding proteins A8 (S100A8) and S100 A9 (S100A9) in nasopharyngeal carcinoma (NPC) tissues and their correlation with clinical pathological characteristics and prognosis of NPC.Methods: Ninety-two NPC tissue samples and 92 nasopharyngitis tissue samples (controls) were collected. All the NPC patients were on follow-up for more than 5 years. The expressions of S100A8 and S100A9 were determined in these tissues by immunohistochemistry. The relationship between the expressions of S100A8 and S100A9, and the clinico-pathological features were analyzed by Spearman correlation analysis, and the results evaluated by Kaplan-Meier method.Results: The differences between their expressions in the two tissues were statistically significant (p < 0.05). Neither gender nor age was associated with expressions of S100A8 and S100A9 (p > 0.05), but they were closely related to the degree of differentiation, clinical stages and metastasis of lymph node (p < 0.05). The expression of S100A8 had significant positive correlation with the expression of S100A9 (r = 0.393, p = 0.000). Prognosis of patients with positive expressions of S100A8 and S100A9 was poor, when compared to patients with negative expressions of these proteins (p < 0.05).Conclusion: Expressions of S100A8 and S100A9 are closely related to the development of NPC. High expressions of the two proteins may have an important influence in the progress of tumor invasion but are associated with poor prognosis of NPC. These findings could be significant indicators of early diagnosis, effectiveness of treatment and prognosis of NPC.Keywords: S100A8, S100A9, Calcium-binding proteins, Prognosis, Nasopharyngeal carcinoma, Prognosi

Excessive Neutrophil Activity in Gestational Diabetes Mellitus: Could It Contribute to the Development of Preeclampsia?

Gestational diabetes mellitus is a transient form of glucose intolerance occurring during pregnancy. Pregnancies affected by gestational diabetes mellitus are at risk for the development of preeclampsia, a severe life threatening condition, associated with significant feto-maternal morbidity and mortality. It is a risk factor for long-term health in women and their offspring. Pregnancy has been shown to be associated with a subliminal degree of neutrophil activation and tightly regulated generation of neutrophil extracellular traps (NETs). This response is excessive in cases with preeclampsia, leading to the presence of large numbers of NETs in affected placentae. We have recently observed that circulatory neutrophils in cases with gestational diabetes mellitus similarly exhibit an excessive pro-NETotic phenotype, and pronounced placental presence, as detected by expression of neutrophil elastase. Furthermore, exogenous neutrophil elastase liberated by degranulating neutrophils was demonstrated to alter trophoblast physiology and glucose metabolism by interfering with key signal transduction components. In this review we examine whether additional evidence exists suggesting that altered neutrophil activity in gestational diabetes mellitus may contribute to the development of preeclampsia

The Cerebrospinal Fluid Provides a Proliferative Niche for Neural Progenitor Cells

Cortical development depends on the active integration of cell autonomous and extrinsic cues, but the coordination of these processes is poorly understood. Here, we show that the apical complex protein Pals1 and Pten have opposing roles in localizing the Igf1R to the apical, ventricular domain of cerebral cortical progenitor cells. We found that the cerebrospinal fluid (CSF), which contacts this apical domain, has an age-dependent effect on proliferation, much of which is attributable to Igf2, but that CSF contains other signaling activities as well. CSF samples from patients with glioblastoma multiforme show elevated Igf2 and stimulate stem cell proliferation in an Igf2-dependent manner. Together, our findings demonstrate that the apical complex couples intrinsic and extrinsic signaling, enabling progenitors to sense and respond appropriately to diffusible CSF-borne signals distributed widely throughout the brain. The temporal control of CSF composition may have critical relevance to normal development and neuropathological conditions

Potential of Core-Collapse Supernova Neutrino Detection at JUNO

JUNO is an underground neutrino observatory under construction in Jiangmen, China. It uses 20kton liquid scintillator as target, which enables it to detect supernova burst neutrinos of a large statistics for the next galactic core-collapse supernova (CCSN) and also pre-supernova neutrinos from the nearby CCSN progenitors. All flavors of supernova burst neutrinos can be detected by JUNO via several interaction channels, including inverse beta decay, elastic scattering on electron and proton, interactions on C12 nuclei, etc. This retains the possibility for JUNO to reconstruct the energy spectra of supernova burst neutrinos of all flavors. The real time monitoring systems based on FPGA and DAQ are under development in JUNO, which allow prompt alert and trigger-less data acquisition of CCSN events. The alert performances of both monitoring systems have been thoroughly studied using simulations. Moreover, once a CCSN is tagged, the system can give fast characterizations, such as directionality and light curve

Detection of the Diffuse Supernova Neutrino Background with JUNO

As an underground multi-purpose neutrino detector with 20 kton liquid scintillator, Jiangmen Underground Neutrino Observatory (JUNO) is competitive with and complementary to the water-Cherenkov detectors on the search for the diffuse supernova neutrino background (DSNB). Typical supernova models predict 2-4 events per year within the optimal observation window in the JUNO detector. The dominant background is from the neutral-current (NC) interaction of atmospheric neutrinos with 12C nuclei, which surpasses the DSNB by more than one order of magnitude. We evaluated the systematic uncertainty of NC background from the spread of a variety of data-driven models and further developed a method to determine NC background within 15\% with {\it{in}} {\it{situ}} measurements after ten years of running. Besides, the NC-like backgrounds can be effectively suppressed by the intrinsic pulse-shape discrimination (PSD) capabilities of liquid scintillators. In this talk, I will present in detail the improvements on NC background uncertainty evaluation, PSD discriminator development, and finally, the potential of DSNB sensitivity in JUNO