Spatiotemporal spread of tick-borne encephalitis in the EU/EEA, 2012 to 2020.

BackgroundTick-borne encephalitis (TBE) is a vaccine-preventable disease involving the central nervous system. TBE became a notifiable disease on the EU/EEA level in 2012.AimWe aimed to provide an updated epidemiological assessment of TBE in the EU/EEA, focusing on spatiotemporal changes.MethodsWe performed a descriptive analysis of case characteristics, time and location using data of human TBE cases reported by EU/EEA countries to the European Centre for Disease Prevention and Control with disease onset in 2012-2020. We analysed data at EU/EEA, national, and subnational levels and calculated notification rates using Eurostat population data. Regression models were used for temporal analysis.ResultsFrom 2012 to 2020, 19 countries reported 29,974 TBE cases, of which 24,629 (98.6%) were autochthonous. Czechia, Germany and Lithuania reported 52.9% of all cases. The highest notification rates were recorded in Lithuania, Latvia, and Estonia (16.2, 9.5 and 7.5 cases/100,000 population, respectively). Fifty regions from 10 countries, had a notification rate ≥ 5/100,000. There was an increasing trend in number of cases during the study period with an estimated 0.053 additional TBE cases every week. In 2020, 11.5% more TBE cases were reported than predicted based on data from 2016 to 2019. A geographical spread of cases was observed, particularly in regions situated north-west of known endemic regions.ConclusionA close monitoring of ongoing changes to the TBE epidemiological situation in Europe can support the timely adaption of vaccination recommendations. Further analyses to identify populations and geographical areas where vaccination programmes can be of benefit are needed.

Identification of metabolites, clinical chemistry markers and transcripts associated with hepatotoxicity.

Early and accurate pre-clinical and clinical biomarkers of hepatotoxicity facilitate the drug development process and the safety monitoring in clinical studies. We selected eight known model compounds to be administered to male Wistar rats to identify biomarkers of drug induced liver injury (DILI) using transcriptomics, metabolite profiling (metabolomics) and conventional endpoints. We specifically explored early biomarkers in serum and liver tissue associated with histopathologically evident acute hepatotoxicity. A tailored data analysis strategy was implemented to better differentiate animals with no treatment-related findings in the liver from animals showing evident hepatotoxicity as assessed by histopathological analysis. From the large number of assessed parameters, our data analysis strategy allowed us to identify five metabolites in serum and five in liver tissue, 58 transcripts in liver tissue and seven clinical chemistry markers in serum that were significantly associated with acute hepatotoxicity. The identified markers comprised metabolites such as taurocholic acid and putrescine (measured as sum parameter together with agmatine), classical clinical chemistry markers like AST (aspartate aminotransferase), ALT (alanine aminotransferase), and bilirubin, as well as gene transcripts like Igfbp1 (insulin-like growth factor-binding protein 1) and Egr1 (early growth response protein 1). The response pattern of the identified biomarkers was concordant across all types of parameters and sample matrices. Our results suggest that a combination of several of these biomarkers could significantly improve the robustness and accuracy of an early diagnosis of hepatotoxicity.

Synergistic and Selective Cancer Cell Killing Mediated by the Oncolytic Adenoviral Mutant AdΔΔ and Dietary Phytochemicals in Prostate Cancer Models.

AdΔΔ is an oncolytic adenoviral mutant that has been engineered to selectively target tumors with deregulated cell cycle and apoptosis pathways. AdΔΔ potentiates apoptotic cell death induced by drugs, including mitoxantrone and docetaxel, which are commonly used to treat prostate cancer. Here, we demonstrate that AdΔΔ can also interact synergistically with dietary phytochemicals known to have anti-cancer activities, without incurring the toxic side effects of chemodrugs. Curcumin, genistein, epigallocatechin-gallate, equol, and resveratrol efficiently killed both androgen-receptor positive (22Rv1) and negative cell lines (PC-3, DU145) in combination with adenoviral mutants. Synergistic cell killing was demonstrated with wild-type virus (Ad5) and AdΔΔ in combination with equol and resveratrol. EC(50) values for both phytochemicals and viruses were reduced three- to eightfold in all three combination-treated cell lines. The most potent efficacy was achieved in the cytotoxic drug- and virus-insensitive PC-3 cells, both in vitro and in vivo, while cell killing in normal bronchial epithelial cells was not enhanced. Although equol and resveratrol induced only low levels of apoptosis when administered alone, in combination with wild-type virus or AdΔΔ, the level of apoptotic cell death was significantly increased in PC-3 and DU145 cells. In vivo studies using suboptimal doses of AdΔΔ and equol or resveratrol, showed reduced tumor growth without toxicity to normal tissue. These findings identify novel functions for AdΔΔ and phytochemicals in promoting cancer cell killing and apoptosis, suggesting the use of these natural nontoxic compounds might be a feasible and currently unexploited anti-cancer strategy.

Metabolite profiling of Alzheimer's disease cerebrospinal fluid.

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive loss of cognitive functions. Today the diagnosis of AD relies on clinical evaluations and is only late in the disease. Biomarkers for early detection of the underlying neuropathological changes are still lacking and the biochemical pathways leading to the disease are still not completely understood. The aim of this study was to identify the metabolic changes resulting from the disease phenotype by a thorough and systematic metabolite profiling approach. For this purpose CSF samples from 79 AD patients and 51 healthy controls were analyzed by gas and liquid chromatography-tandem mass spectrometry (GC-MS and LC-MS/MS) in conjunction with univariate and multivariate statistical analyses. In total 343 different analytes have been identified. Significant changes in the metabolite profile of AD patients compared to healthy controls have been identified. Increased cortisol levels seemed to be related to the progression of AD and have been detected in more severe forms of AD. Increased cysteine associated with decreased uridine was the best paired combination to identify light AD (MMSE>22) with specificity and sensitivity above 75%. In this group of patients, sensitivity and specificity above 80% were obtained for several combinations of three to five metabolites, including cortisol and various amino acids, in addition to cysteine and uridine.