University of Würzburg

About: University of Würzburg is a education organization based out in Wurzburg, Bayern, Germany. It is known for research contribution in the topics: Population & CAS Registry Number. The organization has 31437 authors who have published 62203 publications receiving 2337033 citations. The organization is also known as: Julius-Maximilians-Universität Würzburg & Würzburg University.

Antigenic variation in malaria: in situ switching, relaxed and mutually exclusive transcription of var genes during intra‐erythrocytic development in Plasmodium falciparum

Abstract: Members of the Plasmodium falciparum var gene family encode clonally variant adhesins, which play an important role in the pathogenicity of tropical malaria. Here we employ a selective panning protocol to generate isogenic P.falciparum populations with defined adhesive phenotypes for CD36, ICAM-1 and CSA, expressing single and distinct var gene variants. This technique has established the framework for examining var gene expression, its regulation and switching. It was found that var gene switching occurs in situ. Ubiquitous transcription of all var gene variants appears to occur in early ring stages. However, var gene expression is tightly regulated in trophozoites and is exerted through a silencing mechanism. Transcriptional control is mutually exclusive in parasites that express defined adhesive phenotypes. In situ var gene switching is apparently mediated at the level of transcriptional initiation, as demonstrated by nuclear run-on analyses. Our results suggest that an epigenetic mechanism(s) is involved in var gene regulation.

Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics

Abstract: There is much interest in using magnetic resonance diffusion imaging to provide information on anatomical connectivity in the brain by measuring the diffusion of water in white matter tracts. Among the measures, the most commonly derived from diffusion data is fractional anisotropy (FA), which quantifies local tract directionality and integrity. Many multi-subject imaging studies are using FA images to localize brain changes related to development, degeneration and disease. In a recent paper, we presented a new approach, tract-based spatial statistics (TBSS), which aims to solve crucial issues of cross-subject data alignment, allowing localized cross-subject statistical analysis. This works by transforming the data from the centers of the tracts that are consistent across a study's subjects into a common space. In this protocol, we describe the MRI data acquisition and analysis protocols required for TBSS studies of localized change in brain connectivity across multiple subjects.

Fatigue in multiple sclerosis: a comparison of different rating scales and correlation to clinical parameters:

Abstract: Objectives: Fatigue is one of the most common, yet poorly defined, disabling symptoms in patients with multiple sclerosis (MS). To delineate more clearly the frequency and type of fatigue, we first compared four widely used fatigue scales in consecutive MS patients. Secondly, to further clarify the nature of fatigue, we investigated its relation to physical disability, course of the disease, immunotherapy, and depression. Patients and Methods: Between February and September 2000, 151 consecutive MS patients entering our outpatient clinic (94 relapsing-remitting, 50 secondary progressive, and 7 primary progressive patients; mean age 29.0-7.3 years, mean disease duration 9.9-6.7 years, median EDSS 3.5) filled in a standardized questionnaire including four fatigue scales - Fatigue Severity Scale (FSS), MS-specific FSS (MFSS), Modified Fatigue Impact Scale (MFIS), and Visual Analogue Scale (VAS). Patients were included in the ‘MS-related fatigue group’ (MS-F) when they stated in the questionnaire that fatigue...

Limited prognostic value of the 2004 International Union Against Cancer staging classification for adrenocortical carcinoma: proposal for a Revised TNM Classification.

Abstract: BACKGROUND: Adrenocortical carcinoma (ACC) is a rare malignancy, and it was only in 2004 that the International Union Against Cancer (UICC) defined TNM criteria and published the first staging classification. However, to date, the prognostic value of the proposed classification has not been evaluated. METHODS: The German ACC Registry comprising 492 patients was searched for patients who were diagnosed between 1986 and 2007 with detailed information on primary diagnosis and a minimum follow-up of 6 months. Patients were assigned to UICC tumor stage, and disease-specific survival (DSS) was assessed. In addition, the contribution of potential risk factors for DSS was evaluated. RESULTS: In total, 416 patients with a mean follow-up of 36 months met the inclusion criteria (stage I, n = 23 patients; stage II, n = 176 patients; stage III, n = 67 patients; stage IV, n = 150 patients). Kaplan-Meier analysis revealed a stage-dependent DSS. However, DSS in patients with stage II ACC did not differ significantly from DSS in patients with stage III ACC (hazard ratio, 1.38; 95% confidence interval, 0.89-2.16). Furthermore, patients who had stage IV ACC without distant metastases had an improved DSS compared with patients who had metastatic disease (P = .004). An analysis of different potential risk factors for defining stage III ACC revealed important roles in DSS for tumor infiltration in surrounding tissue, venous tumor thrombus (VTT), and positive lymph nodes; whereas tumor invasion in adjacent organs carried a prognosis similar to that of infiltration in surrounding tissue only. CONCLUSIONS: The 2004 UICC staging classification for ACC has significant limitations. On the basis of the current analysis, a revised classification with superior prognostic accuracy is proposed (the European Network for the Study of Adrenal Tumors classification). In this system, stage III ACC is defined by the presence of positive lymph nodes, infiltration of surrounding tissue, or VTT; and stage IV ACC is restricted to patients with distant metastasis. Cancer 2009. © 2009 American Cancer Society.

Upconverting Nanoparticles for Nanoscale Thermometry

Abstract: Upconverting materials are capable of absorbing near-infrared light and converting it into short-wavelength luminescence. The efficiency of this remarkable effect is highly temperature dependent and thus can be used for temperature determination (thermometry) on a nanometer scale. All the upconverting materials discovered so far display several (mainly two) narrow emission bands, each of which has its own temperature dependence. The ratio of the intensity of two of these bands provides a referenced signal for optical sensing of temperature, for example inside cells.