Effects of Grazing Intensity and Environmental Factors on Species Composition and Diversity in Typical Steppe of Inner Mongolia,China

In the present study, we aim to analyze the effect of grazing, precipitation and temperature on plant species dynamics in the typical steppe of Inner Mongolia, P.R. China. By uncoupling biotic and abiotic factors, we provide essential information on the main drivers determining species composition and species diversity. Effects of grazing by sheep were studied in a controlled experiment along a gradient of seven grazing intensities (from ungrazed to very heavily grazed) during six consecutive years (2005–2010). The results show that plant species composition and diversity varied among years but were little affected by grazing intensity, since the experimental years were much dryer than the long term average, the abiotic constraints may have overridden any grazing effect. Among-year differences were predominantly determined by the abiotic factors of precipitation and temperature. Most of the variation in species dynamics and coexistence between C3 and C4 species was explained by seasonal weather conditions, i.e. precipitation and temperature regime during the early-season (March-June) were most important in determining vegetation dynamics. The dominant C3 species Stipa grandis was highly competitive in March-June, when the temperature levels were low and rainfall level was high. In contrast, the most common C4 species Cleistogenes squarrosa benefited from high early-season temperature levels and low early-season rainfall. However, biomass of Stipa grandis was positively correlated with temperature in March, when effective mean temperature ranges from 0 to 5°C and thus promotes vernalization and vegetative sprouting. Our results suggest that, over a six-year term, it is temporal variability in precipitation and temperature rather than grazing that determines vegetation dynamics and species co-existence of grazed steppe ecosystems. Furthermore, our data support that the variability in the biomass of dominant species, rather than diversity, determine ecosystem functioning. The present study provides fundamental knowledge on the complex interaction of grazing – vegetation – climate.     

Affinity pulldown of γ‐secretase and associated proteins from human and rat brain

γ‐Secretase is a transmembrane protease complex responsible for the processing of a multitude of type 1 transmembrane proteins, including amyloid precursor protein (APP) and Notch. A functional complex is dependent on the assembly of four proteins: presenilin (PS), nicastrin, Aph‐1 and Pen‐2. Little is known about how the substrates are selected by γ‐secretase, but it has been suggested that γ‐secretase associated proteins (GSAPs) could be of importance. For instance, it was recently reported from studies in cell lines that TMP21, a transmembrane protein involved in trafficking, binds to γ‐secretase and regulates the processing of APP‐derived substrates without affecting Notch cleavage. Here, we present an efficient and selective method for purification and analysis of γ‐secretase and GSAPs. Microsomal membranes were prepared from rat or human brain and incubated with a γ‐secretase inhibitor coupled to biotin via a long linker and a S‐S bridge. After pulldown using streptavidin beads, bound proteins were eluted under reducing conditions and digested by trypsin. The tryptic peptides were subjected to LC‐MS/MS analysis, and proteins were identified by sequence data from MS/MS spectra. All of the known γ‐secretase components were identified. Interestingly, TMP21 and the PS associated protein syntaxin1 were associated to γ‐secretase in rat brain. We suggest that the present method can be used for further studies on the composition of the γ‐secretase complex.     

Accuracy and precision of gait events derived from motion capture in horses during walk and trot

This study aimed to create an evidence base for detection of stance-phase timings from motion capture in horses. The objective was to compare the accuracy (bias) and precision (SD) for five published algorithms for the detection of hoof-on and hoof-off using force plates as the reference standard.     

The Fibrin Matrix Regulates Angiogenic Responses within the Hemostatic Microenvironment through Biochemical Control

Conceptually, premature initiation of post-wound angiogenesis could interfere with hemostasis, as it relies on fibrinolysis. The mechanisms facilitating orchestration of these events remain poorly understood, however, likely due to limitations in discerning the individual contribution of cells and extracellular matrix. Here, we designed an in vitro Hemostatic-Components-Model (HCM) to investigate the role of the fibrin matrix as protein factor-carrier, independent of its cell-scaffold function. After characterizing the proteomic profile of HCM-harvested matrix releasates, we demonstrate that the key pro-/anti-angiogenic factors, VEGF and PF4, are differentially bound by the matrix. Changing matrix fibrin mass consequently alters the balance of releasate factor concentrations, with differential effects on basic endothelial cell (EC) behaviors. While increasing mass, and releasate VEGF levels, promoted EC chemotactic migration, it progressively inhibited tube formation, a response that was dependent on PF4. These results indicate that the clot’s matrix component initially serves as biochemical anti-angiogenic barrier, suggesting that post-hemostatic angiogenesis follows fibrinolysis-mediated angiogenic disinhibition. Beyond their significance towards understanding the spatiotemporal regulation of wound healing, our findings could inform the study of other pathophysiological processes in which coagulation and angiogenesis are prominent features, such as cardiovascular and malignant disease.     

Criteria Used in Clinical Practice to Guide Immunosuppressive Treatment in Patients with Primary Sclerosing Cholangitis

Background & Aims

Current guidelines recommend immunosuppressive treatment (IT) in patients with primary sclerosing cholangitis (PSC) and elevated aminotransferase levels more than five times the upper limit of normal and elevated serum IgG-levels above twice the upper limit of normal. Since there is no evidence to support this recommendation, we aimed to assess the criteria that guided clinicians in clinical practice to initiate IT in patients with previously diagnosed PSC.

Methods

This is a retrospective analysis of 196 PSC patients from seven German hepatology centers, of whom 36 patients had received IT solely for their liver disease during the course of PSC. Analyses were carried out using methods for competing risks.

Results

A simplified autoimmune hepatitis (AIH) score >5 (HR of 36, p<0.0001) and a modified histological activity index (mHAI) greater than 3/18 points (HR 3.6, p = 0.0274) were associated with the initiation of IT during the course of PSC. Of note, PSC patients who subsequently received IT differed already at the time of PSC diagnosis from those patients, who did not receive IT during follow-up: they presented with increased levels of IgG (p = 0.004) and more frequently had clinical signs of cirrhosis (p = 0.0002).

Conclusions

This is the first study which investigates the parameters associated with IT in patients with PSC in clinical practice. A simplified AIH score >5 and a mHAI score >3, suggesting concomitant features of AIH, influenced the decision to introduce IT during the course of PSC. In German clinical practice, the cutoffs used to guide IT may be lower than recommended by current guidelines.     

Metabolite targeting: development of a comprehensive targeted metabolomics platform for the assessment of diabetes and its complications

Biomarker studies for metabolic disorders like diabetes mellitus (DM) are an important approach towards a better understanding of the underlying pathophysiological mechanisms of diseases (Roberts and Gerszten in Cell Metab 18:43–50, 2013; Wilson et al. in Proteome Res 4:591–598, 2005). Furthermore, screening of potential metabolic biomarkers opens the opportunity of early diagnosis as well as therapy and drug monitoring of metabolic disorders (Rhee et al. in J Clin Invest 10:1–10, 2011; Wang et al. in Nat Med 17:448–458, 2011; Wenk in Nat Rev Drug Discov 4:594–610, 2005). The aim of the present study was to develop methods for the quantitative determination of 74 potential metabolite biomarkers for DM and diabetic nephropathy (DN) in serum. Several studies have shown that the concentrations of many polar metabolites like amino or organic acids are changed in subjects suffering from diabetes (Wang et al. in Nat Med 17:448–458, 2011; Yuan et al. in J Chromatogr B 813:53–58, 2007). Analyzing polar analytes presents a challenge in liquid chromatography (LC) coupled with ESI–MS/MS (Gika et al. in J Sep Sci 31:1598–1608, 2008; Spagou et al. in J Sep Sci 33:716–727, 2010). Considering those reasons we decided to develop a specific HILIC–ESI–QqQ–MS/MS-method for quantitative determination of these polar metabolites. A subsequent method validation was carried out for both HILIC and RP chromatography with respect to the guidelines of the Food and Drug Administration (FDA in Food and Drug Administration: Guidance for industry, bioanalytical method validation, 2001). The HILIC and RP LC–MS methods were successfully validated. Furthermore, the HILIC method presented here was applied to serum samples of GIPR^dn transgenic mice, a diabetic strain developing DN, and non transgenic littermate controls. Significant, diabetes-associated changes were observed for the concentrations of 21 out of 62 metabolites. The new methods described here accurately quantify 74 metabolites known to be regulated in diabetes, allowing for direct comparison between studies and laboratories. Thus, these methods may be highly adoptable in clinical research, providing a starting point for early diagnosis and metabolic screening.     

The predictive value of trill performance in a large repertoire songbird,the nightingale Luscinia megarhynchos

In animal communication, elaborate signals have been shown to be under sexual selection and often to reliably indicate a signaler's quality, condition, or motivation. For instance, the performance of physically challenging signals such as trills – i.e. rapidly repeated elements of broad frequency bandwidth – is considered to reflect signaler quality. Nightingales Luscinia megarhynchos are renowned for their outstanding song repertoire sizes, and most songs include a variety of complex trills. In the present study, we examined whether performance of trills can reliably reflect male quality. We show that vocal performance of trills predicts the age of a male. Older males sang trills that were closer to the performance limit than did younger males. Moreover, males with narrower beaks sang more consistent trills than did males with wider beaks. Vocal performance of trills, however, did not significantly predict other measures of biometric quality such as body size or body condition of the males. The findings suggest that receivers could benefit from the predictive value of physically demanding song traits in assessing age as an important quality component of potential mates or rivals. Particularly in species with high singing versatility, signaler assessment based on readily assessable structures may be adaptive, as this will allow receivers to quickly gather relevant information about the singer without attending to the full song repertoire.