Correction to: In vitro cellular and proteome assays identify Wnt pathway and CDKN2A-regulated senescence affected in mesenchymal stem cells from mice after a chronic LD gamma irradiation in utero

Radiation and Environmental Biophysics -     

Carbon monoxide uptake and the resulting carboxyhemoglobin in man

In order to calculate the carboxyhemoglobin concentration in human blood under various circumstances and for particular groups or individuals, the model proposed originally by Coburn and coworkers in a slightly revised form was tested. The relevant breathing parameters were measured as minute averages and used for computation of COHb time course. At the same time blood samples were taken and analysed for carboxyhemoglobin. For four different subjects, various breathing conditions and work rates the average deviation of experimental data from theoretical predictions is 7.4%. Some data are presented graphically. Excellent conformity of all the results indicate, that the model is suitable to show the influence of most physiological and breathing parameters on the dynamics of carbon monoxide uptake.     

Twenty Years After Decollectivization: Mobile Livestock Husbandry and Its Ecological Impact in the Mongolian Forest-Steppe

The socioeconomics and the ecological impact of nomadic pastoralism were analyzed using interviews with 87 herder families and secondary information in the western Khangai, Mongolia. The pastoralists had an income above the national average for rural areas in Mongolia. Most herders continued traditional seasonal migration patterns, which involved ca. 10 moves per year over a total distance of ca. 100 km between summer and winter grazing grounds. As elsewhere in Mongolia, the number of goats owned by herders has greatly increased and cashmere has become the main source of cash income. Total livestock numbers rose considerably after decollectivization of the livestock sector in 1992, but in recent years have periodically been reduced by harsh winters, often combined with drought. Due to the high economic risk of these periodic livestock losses, many herders invest in better education for their children to enable them to migrate to the cities.     

Beiträge zur Kenntniss der adriatischen Algen

Ohne Zusammenfassung     

Rhizophydium Dicksonii Wright

Ohne Zusammenfassung     

Verzeichniss der im Golfe von Triest gesammelten Meeralgen

Ohne Zusammenfassung     

A rhodamine-labeled citalopram analogue as a high-affinity fluorescent probe for the serotonin transporter

A novel fluorescent ligand was synthesized as a high-affinity, high specificity probe for visualizing the serotonin transporter (SERT). The rhodamine fluorophore was extended from an aniline substitution on the 5-position of the dihydroisobenzofuran ring of citalopram (2, 1-(3-(dimethylamino)propyl)-1-(4-fluorophenyl)-1,3-dihydroisobenzofuran-5-carbonitrile), using an ethylamino linker. The resulting rhodamine-labeled ligand 8 inhibited [³H]5-HT uptake in COS-7 cells (K_i = 225 nM) with similar potency to the tropane-based JHC 1-064 (1), but with higher specificity towards the SERT relative to the transporters for dopamine and norepinephrine. Visualization of the SERT with compound 8 was demonstrated by confocal microscopy in HEK293 cells stably expressing EGFP–SERT.     

Serum Protein Signatures Differentiating Autoimmune Pancreatitis versus Pancreatic Cancer

Autoimmune pancreatitis (AIP) is defined by characteristic lymphoplasmacytic infiltrate, ductal strictures and a pancreatic enlargement or mass that can mimic pancreatic cancer (PaCa). The distinction between this benign disease and pancreatic cancer can be challenging. However, an accurate diagnosis may pre-empt the misdiagnosis of cancer, allowing the appropriate medical treatment of AIP and, consequently, decreasing the number of unnecessary pancreatic resections.Mass spectrometry (MS) and two-dimensional differential gel electrophoresis (2D-DIGE) have been applied to analyse serum protein alterations associated with AIP and PaCa, and to identify protein signatures indicative of the diseases. Patients'' sera were immunodepleted from the 20 most prominent serum proteins prior to further 2D-DIGE and image analysis. The identity of the most-discriminatory proteins detected, was performed by MS and ELISAs were applied to confirm their expression. Serum profiling data analysis with 2D-DIGE revealed 39 protein peaks able to discriminate between AIP and PaCa. Proteins were purified and further analysed by MALDI-TOF-MS. Peptide mass fingerprinting led to identification of eleven proteins. Among them apolipoprotein A-I, apolipoprotein A-II, transthyretin, and tetranectin were identified and found as 3.0-, 3.5-, 2-, and 1.6-fold decreased in PaCa sera, respectively, whereas haptoglobin and apolipoprotein E were found to be 3.8- and 1.6-fold elevated in PaCa sera. With the exception of haptoglobin the ELISA results of the identified proteins confirmed the 2D-DIGE image analysis characteristics. Integration of the identified serum proteins as AIP markers may have considerable potential to provide additional information for the diagnosis of AIP to choose the appropriate treatment.     

An IDEA for Short Term Outbreak Projection: Nearcasting Using the Basic Reproduction Number

Background

Communicable disease outbreaks of novel or existing pathogens threaten human health around the globe. It would be desirable to rapidly characterize such outbreaks and develop accurate projections of their duration and cumulative size even when limited preliminary data are available. Here we develop a mathematical model to aid public health authorities in tracking the expansion and contraction of outbreaks with explicit representation of factors (other than population immunity) that may slow epidemic growth.

Methodology

The Incidence Decay and Exponential Adjustment (IDEA) model is a parsimonious function that uses the basic reproduction number R₀, along with a discounting factor to project the growth of outbreaks using only basic epidemiological information (e.g., daily incidence counts).

Principal Findings

Compared to simulated data, IDEA provides highly accurate estimates of total size and duration for a given outbreak when R₀ is low or moderate, and also identifies turning points or new waves. When tested with an outbreak of pandemic influenza A (H1N1), the model generates estimated incidence at the i+1^th serial interval using data from the i^th serial interval within an average of 20% of actual incidence.

Conclusions and Significance

This model for communicable disease outbreaks provides rapid assessments of outbreak growth and public health interventions. Further evaluation in the context of real-world outbreaks will establish the utility of IDEA as a tool for front-line epidemiologists.