Exercise-induced splanchnic hypoperfusion results in gut dysfunction in healthy men

Background

Splanchnic hypoperfusion is common in various pathophysiological conditions and often considered to lead to gut dysfunction. While it is known that physiological situations such as physical exercise also result in splanchnic hypoperfusion, the consequences of flow redistribution at the expense of abdominal organs remained to be determined. This study focuses on the effects of splanchnic hypoperfusion on the gut, and the relationship between hypoperfusion, intestinal injury and permeability during physical exercise in healthy men.

Methods and Findings

Healthy men cycled for 60 minutes at 70% of maximum workload capacity. Splanchnic hypoperfusion was assessed using gastric tonometry. Blood, sampled every 10 minutes, was analyzed for enterocyte damage parameters (intestinal fatty acid binding protein (I-FABP) and ileal bile acid binding protein (I-BABP)). Changes in intestinal permeability were assessed using sugar probes. Furthermore, liver and renal parameters were assessed. Splanchnic perfusion rapidly decreased during exercise, reflected by increased gap_g-apCO₂ from −0.85±0.15 to 0.85±0.42 kPa (p<0.001). Hypoperfusion increased plasma I-FABP (615±118 vs. 309±46 pg/ml, p<0.001) and I-BABP (14.30±2.20 vs. 5.06±1.27 ng/ml, p<0.001), and hypoperfusion correlated significantly with this small intestinal damage (r_S = 0.59; p<0.001). Last of all, plasma analysis revealed an increase in small intestinal permeability after exercise (p<0.001), which correlated with intestinal injury (r_S = 0.50; p<0.001). Liver parameters, but not renal parameters were elevated.

Conclusions

Exercise-induced splanchnic hypoperfusion results in quantifiable small intestinal injury. Importantly, the extent of intestinal injury correlates with transiently increased small intestinal permeability, indicating gut barrier dysfunction in healthy individuals. These physiological observations increase our knowledge of splanchnic hypoperfusion sequelae, and may help to understand and prevent these phenomena in patients.     

Selection of reference genes in mouse embryos and in differentiating human and mouse ES cells

Embryonic Stem (ES) cells have the potential to form every cell of the body and thus are of great promise for tissue transplantation. One of the rising techniques that allows studying the differentiation state of ES cells is quantitative RT-PCR (qRT-PCR). When relative quantification by qRT-PCR is applied, accurate normalization is necessary, since differentiated embryonic stem cells and developing embryos contain heterogeneous cell populations. Corrections for variations in the qRT-PCR reaction are needed to allow comparisons between different samples. We applied the normalization tools geNorm and Normfinder to ten reference genes identifying the most stable ones for relative quantification of gene expression during differentiation of human ES cells, as well as in differentiated mouse ES cells and in the developing mouse embryo. For relative quantification by qRT-PCR in these systems, we advise to use normalization factors based on multiple stable reference genes. However, when the use of several reference genes would be unpractical, a single reference gene in each experimental setup could be sufficient. When looking for single stable reference genes, beta-actin works best in both mouse embryo and ES cell experiments and glyceraldehyde-3-phosphate-dehydrogenase can be applied in both mouse and human ES cell experiments.     

The Archaeal Diversity and Population in a Drained Alkaline Saline Soil of the Former Lake Texcoco (Mexico)

Draining soil of the former Lake Texcoco, Mexico with pH > 10.0 and electrolytic conductivity (EC) > 100 dS m^?1 for 17 years has reduced pH to 7.8 and EC to 0.68 dS m^?1. Metagenomic DNA from the archaeal community was extracted directly from this soil and used as template to amplify the 16S ribosomal genes by PCR to construct gene libraries. Most of the cloned Archaea were related to mesophilic crenarchaeota and were not-yet-cultured. Sequence and phylogenetic analyses of these clones identified a group of Archaea with close affiliation to the ammonia-oxidizing Archaea. The cloned sequences from the drained soil diverged clearly from Haloarchaea found in the undrained soil from the lake.     

Proteomic analysis of oligodendrogliomas expressing a mutant isocitrate dehydrogenase-1

Gliomas are primary tumors of the human central nervous system with unknown mechanisms of progression. Isocitrate dehydrogenase-1 (IDH1) mutation is frequent in diffuse gliomas such as oligodendrogliomas. To gain insights into the physiopathology of oligodendrogliomas that have a better prognosis than other diffuse gliomas, we combined microdissection, 2-D DIGE and MS/MS focusing on proteome alterations associated with IDH1 mutation. We first compared tumor tissues (TT) and minimally infiltrated parenchymal tissues (MIT) of four IDH1-mutated oligodendrogliomas to verify whether proteins specific to oligodendroglioma tumor cells could be identified from one patient to another. This study resulted in identification of 68 differentially expressed proteins, with functions related to growth of tumor cells in a nervous parenchyma. We then looked for proteins distinctly expressed in TT harboring either mutant (oligodendrogliomas, n=4) or wild-type IDH1 (oligodendroglial component of malignant glio-neuronal tumors, n=4). This second analysis resulted in identification of distinct proteome patterns composed of 42 proteins. Oligodendrogliomas with a mutant IDH1 had noteworthy enhanced expression of enzymes controlling aerobic glycolysis and detoxification, and anti-apoptosis proteins. In addition, the mutant IDH1 migrated differently from the wild-type IDH1 form. Comparative proteomic analysis might thus be suitable to identify proteome alterations associated with a well-defined mutation.     

Systemic Down-Regulation of Delta-9 Desaturase Promotes Muscle Oxidative Metabolism and Accelerates Muscle Function Recovery following Nerve Injury

The progressive deterioration of the neuromuscular axis is typically observed in degenerative conditions of the lower motor neurons, such as amyotrophic lateral sclerosis (ALS). Neurodegeneration in this disease is associated with systemic metabolic perturbations, including hypermetabolism and dyslipidemia. Our previous gene profiling studies on ALS muscle revealed down-regulation of delta-9 desaturase, or SCD1, which is the rate-limiting enzyme in the synthesis of monounsaturated fatty acids. Interestingly, knocking out SCD1 gene is known to induce hypermetabolism and stimulate fatty acid beta-oxidation. Here we investigated whether SCD1 deficiency can affect muscle function and its restoration in response to injury. The genetic ablation of SCD1 was not detrimental per se to muscle function. On the contrary, muscles in SCD1 knockout mice shifted toward a more oxidative metabolism, and enhanced the expression of synaptic genes. Repressing SCD1 expression or reducing SCD-dependent enzymatic activity accelerated the recovery of muscle function after inducing sciatic nerve crush. Overall, these findings provide evidence for a new role of SCD1 in modulating the restorative potential of skeletal muscles.     

Mapping protein matrix cavities in human cytoglobin through Xe atom binding

Cytoglobin is the fourth recognized globin type, almost ubiquitously distributed in human tissues; its function is still poorly understood. Cytoglobin displays a core region of about 150 residues, structurally related to hemoglobin and myoglobin, and two extra segments, about 20 residues each, at the N- and C-termini. The core region hosts a large apolar cavity, held to provide a ligand diffusion pathway to/from the heme, and/or ligand temporary docking sites. Here we report the crystal structure (2.4A resolution, R-factor 19.1%) of a human cytoglobin mutant bearing the CysB2(38) --> Ser and CysE9(83) --> Ser substitutions (CYGB*), treated under pressurized xenon. Three Xe atoms bind to the heme distal site region of CYGB* mapping the protein matrix apolar cavity. Despite the conserved globin fold, the cavity found in CYGB* is structured differently from those recognized to play a functional role in myoglobin, neuroglobin, truncated hemoglobins, and Cerebratulus lacteus mini-hemoglobin.     

Genetic signature of population fragmentation varies with mobility in seven bird species of a fragmented Kenyan cloud forest

Habitat fragmentation can restrict geneflow, reduce neighbourhood effective population size, and increase genetic drift and inbreeding in small, isolated habitat remnants. The extent to which habitat fragmentation leads to population fragmentation, however, differs among landscapes and taxa. Commonly, researchers use information on the current status of a species to predict population effects of habitat fragmentation. Such methods, however, do not convey information on species-specific responses to fragmentation. Here, we compare levels of past population differentiation, estimated from microsatellite genotypes, with contemporary dispersal rates, estimated from multi-strata capture-recapture models, to infer changes in mobility over time in seven sympatric, forest-dependent bird species of a Kenyan cloud forest archipelago. Overall, populations of sedentary species were more strongly differentiated and clustered compared to those of vagile ones, while geographical patterning suggested an important role of landscape structure in shaping genetic variation. However, five of seven species with broadly similar levels of genetic differentiation nevertheless differed substantially in their current dispersal rates. We conclude that post-fragmentation levels of vagility, without reference to past population connectivity, may not be the best predictor of how forest fragmentation affects the life history of forest-dependent species. As effective conservation strategies often hinge on accurate prediction of shifts in ecological and genetic relationships among populations, conservation practices based solely upon current population abundances or movements may, in the long term, prove to be inadequate.     

Hybrid larch heterosis: for which traits and under which genetic control?

RCD1 is a member of the plant-specific SRO protein family. Several SRO genes have been functionally identified in the regulation of abiotic stresses in Arabidopsis and other plant species. However, the function of SROs is largely unknown in apple (Malus×domestica). In this study, six MdSRO-encoding genes were isolated, categorized into two types and mapped to six chromosomes. The phylogenetic analysis demonstrated that the sequences of the AtSRO and MdSRO proteins are highly conserved. Subsequently, expression analysis showed that MdSRO genes had different expression profiles in different tissues and in response to various stresses. Finally, MdRCD1 was isolated for functional identification. The results showed that resistance to oxidation stress in apple calli was enhanced by MdRCD1 overexpression and weakened by MdRCD1 suppression. MdRCD1 also played a crucial role in the regulation of ROS homeostasis in transgenic apple calli and Arabidopsis. Ectopic expression of MdRCD1 significantly enhanced resistance to salt and oxidative stresses in transgenic lines. In addition, MdRCD1 also enhanced drought tolerance due to its influence on stomatal opening. Based on these results, we conclude that MdRCD1 is an important regulator in abiotic stress response.

     

Gene-environment interactions in complex diseases: genetic models and methods for QTL mapping in multiple half-sib populations

An interval quantitative trait locus (QTL) mapping method for complex polygenic diseases (as binary traits) showing QTL by environment interactions (QEI) was developed for outbred populations on a within-family basis. The main objectives, within the above context, were to investigate selection of genetic models and to compare liability or generalized interval mapping (GIM) and linear regression interval mapping (RIM) methods. Two different genetic models were used: one with main QTL and QEI effects (QEI model) and the other with only a main QTL effect (QTL model). Over 30 types of binary disease data as well as six types of continuous data were simulated and analysed by RIM and GIM. Using table values for significance testing, results show that RIM had an increased false detection rate (FDR) for testing interactions which was attributable to scale effects on the binary scale. GIM did not suffer from a high FDR for testing interactions. The use of empirical thresholds, which effectively means higher thresholds for RIM for testing interactions, could repair this increased FDR for RIM, but such empirical thresholds would have to be derived for each case because the amount of FDR depends on the incidence on the binary scale. RIM still suffered from higher biases (15-100% over- or under-estimation of true values) and high standard errors in QTL variance and location estimates than GIM for QEI models. Hence GIM is recommended for disease QTL mapping with QEI. In the presence of QEI, the model including QEI has more power (20-80% increase) to detect the QTL when the average QTL effect is small (in a situation where the model with a main QTL only is not too powerful). Top-down model selection is proposed in which a full test for QEI is conducted first and then the model is subsequently simplified. Methods and results will be applicable to human, plant and animal QTL mapping experiments.