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Background: Resistance to ESAs (erythropoietin stimulating agents) is highly prevalent in hemodialysis patients with diabetes and associated with an increased mortality. The aim of this study was to identify predictors for ESA resistance and to develop a prediction model for the risk stratification in these patients.
Methods: A post-hoc analysis was conducted of the 4D study, including 1015 patients with type 2 diabetes undergoing hemodialysis. Determinants of ESA resistance were identified by univariate logistic regression analyses. Subsequently, multivariate models were performed with stepwise inclusion of significant predictors from clinical parameters, routine laboratory and specific biomarkers.
Results: In the model restricted to clinical parameters, male sex, shorter dialysis vintage, lower BMI, history of CHF, use of ACE-inhibitors and a higher heart rate were identified as independent predictors of ESA resistance. In regard to routine laboratory markers, lower albumin, lower iron saturation, higher creatinine and higher potassium levels were independently associated with ESA resistance. With respect to specific biomarkers, higher ADMA and CRP levels as well as lower Osteocalcin levels were predictors of ESA resistance.
Conclusions: Easily obtainable clinical parameters and routine laboratory parameters can predict ESA resistance in diabetic hemodialysis patients with good discrimination. Specific biomarkers did not meaningfully further improve the risk prediction of ESA resistance. Routinely assessed data can be used in clinical practice to stratify patients according to the risk of ESA resistance, which may help to assign appropriate treatment strategies.
Background
In patients undergoing maintenance hemodialysis (HD), increased levels of circulating fibroblast growth factor-23 (FGF-23) are independently associated with cardiovascular events and mortality. Interventional strategies aiming to reduce levels of FGF-23 in HD patients are of particular interest. The purpose of the current study was to compare the impact of high-flux versus low-flux HD on circulating FGF-23 levels.
Methods
We conducted a post-hoc analysis of the MINOXIS study, including 127 dialysis patients randomized to low-flux (n = 62) and high-flux (n = 65) HD for 52 weeks. Patients with valid measures for FGF-23 investigated baseline and after 52 weeks were included.
Results
Compared to baseline, a significant increase in FGF-23 levels after one year of low-flux HD was observed (Delta plasma FGF-23: +4026 RU/ml; p < 0.001). In contrast, FGF-23 levels remained stable in the high flux group (Delta plasma FGF-23: +373 RU/ml, p = 0.70). The adjusted difference of the absolute change in FGF-23 levels between the two treatment groups was statistically significant (p < 0.01).
Conclusions
Over a period of 12 months, high-flux HD was associated with stable FGF-23 levels, whereas the low-flux HD group showed an increase of FGF-23. However, the implications of the different FGF 23 time-trends in patients on high flux dialysis, as compared to the control group, remain to be explored in specifically designed clinical trials.
Eczema often precedes the development of asthma in a disease course called the 'atopic march'. To unravel the genes underlying this characteristic pattern of allergic disease, we conduct a multi-stage genome-wide association study on infantile eczema followed by childhood asthma in 12 populations including 2,428 cases and 17,034 controls. Here we report two novel loci specific for the combined eczema plus asthma phenotype, which are associated with allergic disease for the first time; rs9357733 located in EFHC1 on chromosome 6p12.3 (OR 1.27; P = 2.1 x 10(-8)) and rs993226 between TMTC2 and SLC6A15 on chromosome 12q21.3 (OR 1.58; P = 5.3 x 10(-9)). Additional susceptibility loci identified at genome-wide significance are FLG (1q21.3), IL4/KIF3A (5q31.1), AP5B1/OVOL1 (11q13.1), C11orf30/LRRC32 (11q13.5) and IKZF3 (17q21). We show that predominantly eczema loci increase the risk for the atopic march. Our findings suggest that eczema may play an important role in the development of asthma after eczema.
Lipid rafts are membrane microdomains specialized in the regulation of numerous cellular processes related to membrane organization, as diverse as signal transduction, protein sorting, membrane trafficking or pathogen invasion. It has been proposed that this functional diversity would require a heterogeneous population of raft domains with varying compositions. However, a mechanism for such diversification is not known. We recently discovered that bacterial membranes organize their signal transduction pathways in functional membrane microdomains (FMMs) that are structurally and functionally similar to the eukaryotic lipid rafts. In this report, we took advantage of the tractability of the prokaryotic model Bacillus subtilis to provide evidence for the coexistence of two distinct families of FMMs in bacterial membranes, displaying a distinctive distribution of proteins specialized in different biological processes. One family of microdomains harbors the scaffolding flotillin protein FloA that selectively tethers proteins specialized in regulating cell envelope turnover and primary metabolism. A second population of microdomains containing the two scaffolding flotillins, FloA and FloT, arises exclusively at later stages of cell growth and specializes in adaptation of cells to stationary phase. Importantly, the diversification of membrane microdomains does not occur arbitrarily. We discovered that bacterial cells control the spatio-temporal remodeling of microdomains by restricting the activation of FloT expression to stationary phase. This regulation ensures a sequential assembly of functionally specialized membrane microdomains to strategically organize signaling networks at the right time during the lifespan of a bacterium.
Highly efficient single-photon sources (SPS) can increase the secure key rate of quantum key distribution (QKD) systems compared to conventional attenuated laser systems. Here we report on a free space QKD test using an electrically driven quantum dot single-photon source (QD SPS) that does not require a separate laser setup for optical pumping and thus allows for a simple and compact SPS QKD system. We describe its implementation in our 500 m free space QKD system in downtown Munich. Emulating a BB84 protocol operating at a repetition rate of 125 MHz, we could achieve sifted key rates of 5-17 kHz with error ratios of 6-9% and g((2))(0)-values of 0.39-0.76.
Die thorakale Strahlentherapie birgt stets das Risiko der Entstehung einer Pneumonitis, deren frühe Diagnose wichtig ist. Mit der Exhalat-Kondensat-Methode gelingt es, die alveoläre Oberfläche wenig invasiv und beliebig oft wiederholbar untersuchen zu können. Methodik, Variabilität der Exhalatparameter bei Gesunden, Unterschiede zwischen diesen und Patienten während einer thorakalen Strahlentherapie sollten untersucht, Zusammenhänge der Exhalatparameter mit Blutserumkonzentrationen von Total-Protein und TGF-beta; geklärt werden und die Eignung der Methode zur Früherkennung einer Strahlenpneumonitis geprüft werden. 14 gesunde Probanden (an drei aufeinander folgenden Messtagen) und 14 Patienten (bei 0 und 50Gy Gesamt-Energiedosis) wurden untersucht. Jeder atmete 15 Minuten lang am Jaeger ECoScreen; Exhalatmenge und Atemvolumen (V’E) wurden bestimmt. Bei den Probanden wurde am ersten Messtag, bei den Patienten beides Mal Blutserum abgenommen. Exhalat- und Serumproben wurden eingefroren und später auf TGF-beta; und Total-Protein untersucht. Die Untersuchungen waren problemlos durchzuführen; die Messung des V’E war allerdings umständlich. Eine Bestimmung der Masse des Exhalat-Kondensats ist genauer als die des Volumens. TGF-beta; konnte in keiner Kondensatprobe nachgewiesen werden, Total-Protein bei allen. Total-Protein und TGF-beta; ließen sich im Serum messen. Vier Patienten erkrankten an einer Pneumonitis, im Mittel 43,5 ±27 Tage nach Erhalt von 50Gy. Bei Gesunden bedeutet ein höheres V’E auch signifikant mehr Exhalat (p = 0,0004***); die Tag-zu-Tag-Variabilität aller Exhalatparameter war beträchtlich. Übungsphasen, weitere Standardisierungen und geeignete „Referenzkollektive“ sind für eine Etablierung der Methode unbedingt notwendig. Patienten höheren Körpergewichts (p = 0,0072**) und mit einem größerem Body-Mass-Index (BMI, p = 0,0095**) produzierten vor Therapie signifikant mehr Exhalat-Kondensat. Es fand sich bei den Älteren am zweiten Messtermin signifikant mehr Protein im Exhalat (p = 0,045*), dies ist als Alters- und / oder Krankheitsfolge zu werten (in beiden Teilkollektiven findet sich kein solcher Zusammenhang). Die Patienten hatten höhere Ausgangswerte aller drei Exhalatparameter als die Probanden. Bei den Gesunden fand sich infolge „Gewöhnung“ an die Messapparatur am zweiten Messtag weniger Exhalat und ein geringeres V’E. Die Patienten hatten vor Beginn der Therapie mehr Protein im Exhalat, was eine bei vielen vorbestehende alveoläre Schrankenstörung vermuten lässt. Die Patienten hatten stets mehr Protein im Exhalat als die Probanden, dieses stieg während der Therapie um das 1,7fache an; trotzdem ließ sich kein signifikanter Zusammenhang mit der Entwicklung einer Strahlenpneumonitis finden. Bei den Gesunden fanden sich bei jeweils höheren Ausgangswerten auch signifikant stärkere Abnahmen der Exhalatmenge (p = 0,025*) und des V’E (p = 0,040*) – es kommt also bei den „Gewöhnungseffekten“ auf die Zeitdauer des Messintervalls an. Mittelwerte aus mehreren Messungen trugen zu einer schärferen Abgrenzung der zwei Kollektive bei; bei jeweils n = 22 Personen pro Kollektiv wären mehr signifikante Unterschiede zu finden gewesen. Die Serumkonzentrationen von Protein und TGF-beta waren von den demographischen Daten unabhängig und hingen niemals voneinander ab. Die TGF-beta-Serumkonzentrationen der an Pneumonitis erkrankten Patienten nahmen im Laufe der Strahlentherapie im Durchschnitt um 32,9% ab, während sie sich bei den übrigen praktisch nicht änderten; wahrscheinlich handelt es sich hier um typische transiente Abfälle von TGF-beta. Bei den Probanden waren Serum- und Exhalatparameter unabhängig voneinander. Bei den Patienten war mehr Protein im Exhalat-Kondensat, wenn bei 0Gy mehr Serum-TGF-beta vorhanden war. Nach 50Gy war umso mehr Protein im Kondensat, je niedriger es im Serum war. Bei Patienten, die im Laufe der Therapie mehr Protein im Exhalat hatten, fand sich auch eine signifikant steigende Proteinkonzentration im Serum (p = 0,027*). Sinkt TGF-beta im Serum während der Therapie ab (eher steigendes Pneumonitis-Risiko in dieser Studie), dann steigt V’E (p = 0,0100*) und sinkt das Protein im Exhalat (p = 0,043*) signifikant. Bei 0Gy war der Protein-Quotient aus Exhalat und Serum bei den Patienten 1,3mal höher und stieg bis 50Gy um das 1,75fache auf das 2,28fache der Probanden-Ausgangswerte an. Ein hohes TGF-beta im Serum bei 0Gy ging mit einem signifikant steigenden V’E (p = 0,0067**) und sinkenden Protein im Exhalat (p = 0,012*) im Laufe der Therapie einher. Steigt Protein im Serum während der Therapie an, fand sich ein eher höheres V’E vor Beginn der Therapie. Waren Exhalatmenge und V’E vor Therapie eher hoch, stieg TGF-beta im Serum bis 50Gy eher an.
Introduction
The term primary progressive aphasia (PPA) sums up the non‐fluent (nfv), the semantic (sv), and the logopenic (lv) variant. Up to now, there is only limited data available concerning magnetic resonance imaging volumetry to monitor disease progression.
Methods
Structural brain imaging and an extensive assessment were applied at baseline and up to 4‐year(s) follow‐up in 269 participants. With automated atlas‐based volumetry 56 brain regions were assessed. Atrophy progression served to calculate sample sizes for therapeutic trials.
Results
At baseline highest atrophy appeared in parts of the left frontal lobe for nfvPPA (–17%) and of the left temporal lobe for svPPA (–34%) and lvPPA (–24%). Severest progression within 1‐year follow‐up occurred in the basal ganglia in nfvPPA (–7%), in the hippocampus/amygdala in svPPA (–9%), and in (medial) temporal regions in lvPPA (–6%).
Conclusion
PPA presents as a left‐dominant, mostly gray matter sensitive disease with considerable atrophy at baseline that proceeds variant‐specific.
The ongoing digitization of historical photographs in archives allows investigating the quality, quantity, and distribution of these images. However, the exact interior and exterior camera orientations of these photographs are usually lost during the digitization process. The proposed method uses content-based image retrieval (CBIR) to filter exterior images of single buildings in combination with metadata information. The retrieved photographs are automatically processed in an adapted structure-from-motion (SfM) pipeline to determine the camera parameters. In an interactive georeferencing process, the calculated camera positions are transferred into a global coordinate system. As all image and camera data are efficiently stored in the proposed 4D database, they can be conveniently accessed afterward to georeference newly digitized images by using photogrammetric triangulation and spatial resection. The results show that the CBIR and the subsequent SfM are robust methods for various kinds of buildings and different quantity of data. The absolute accuracy of the camera positions after georeferencing lies in the range of a few meters likely introduced by the inaccurate LOD2 models used for transformation. The proposed photogrammetric method, the database structure, and the 4D visualization interface enable adding historical urban photographs and 3D models from other locations.
Background
With upcoming therapeutic interventions for patients with primary progressive aphasia (PPA), instruments for the follow-up of patients are needed to describe disease progression and to evaluate potential therapeutic effects. So far, volumetric brain changes have been proposed as clinical endpoints in the literature, but cognitive scores are still lacking. This study followed disease progression predominantly in language-based performance within 1 year and defined a PPA sum score which can be used in therapeutic interventions.
Methods
We assessed 28 patients with nonfluent variant PPA, 17 with semantic variant PPA, 13 with logopenic variant PPA, and 28 healthy controls in detail for 1 year. The most informative neuropsychological assessments were combined to a sum score, and associations between brain atrophy were investigated followed by a sample size calculation for clinical trials.
Results
Significant absolute changes up to 20% in cognitive tests were found after 1 year. Semantic and phonemic word fluency, Boston Naming Test, Digit Span, Token Test, AAT Written language, and Cookie Test were identified as the best markers for disease progression. These tasks provide the basis of a new PPA sum score. Assuming a therapeutic effect of 50% reduction in cognitive decline for sample size calculations, a number of 56 cases is needed to find a significant treatment effect. Correlations between cognitive decline and atrophy showed a correlation up to r = 0.7 between the sum score and frontal structures, namely the superior and inferior frontal gyrus, as well as with left-sided subcortical structures.
Conclusion
Our findings support the high performance of the proposed sum score in the follow-up of PPA and recommend it as an outcome measure in intervention studies.
By promoting ceramide release at the cytosolic membrane leaflet, the neutral sphingomyelinase 2 (NSM) is capable of organizing receptor and signalosome segregation. Its role in T cell receptor (TCR) signaling remained so far unknown. We now show that TCR-driven NSM activation is dispensable for TCR clustering and initial phosphorylation, but of crucial importance for further signal amplification. In particular, at low doses of TCR stimulatory antibodies, NSM is required for Ca\(^{2+}\) mobilization and T cell proliferation. NSM-deficient T cells lack sustained CD3ζ and ZAP-70 phosphorylation and are unable to polarize and stabilize their microtubular system. We identified PKCζ as the key NSM downstream effector in this second wave of TCR signaling supporting dynamics of microtubule-organizing center (MTOC). Ceramide supplementation rescued PKCζ membrane recruitment and MTOC translocation in NSM-deficient cells. These findings identify the NSM as essential in TCR signaling when dynamic cytoskeletal reorganization promotes continued lateral and vertical supply of TCR signaling components: CD3ζ, Zap70, and PKCζ, and functional immune synapses are organized and stabilized via MTOC polarization.