Iron and vitamin status biomarkers and its association with physical fitness in adolescents: the HELENA study

There is a lack of studies that analyze the association between micronutrient-related biomarker status and physical fitness in adolescents. In the present study, biochemical parameters for iron and vitamin status were studied, along with objective measures of physical fitness in healthy male and female European adolescents. One thousand eighty-nine adolescents (580 girls, 12.5-17.5 yr) from the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) cross-sectional study were included. Hierarchical linear models were performed to determine the associations between micronutrient biomarkers and physical fitness. Age, seasonality, latitude, body mass index, menarche (in girls), and physical activity were used as covariates. For cardiorespiratory fitness, concentrations of hemoglobin, retinol, and vitamin C in male adolescents and β-carotene and 25(OH)D in female adolescents were associated with maximal oxygen consumption. For muscular fitness, concentrations of hemoglobin, β-carotene, retinol, and α-tocopherol in male adolescents and β-carotene and 25(OH)D in female adolescents were associated with better performance of the standing long jump test. In summary, concentrations of hemoglobin and most antioxidant vitamins in male adolescents and β-carotene and 25(OH)D in female adolescents were positively associated with cardiorespiratory and muscular fitness, after controlling for relevant confounders. The associations between physical fitness and iron or vitamin status observed in this cross-sectional study in adolescents should be followed up by a study specifically designed to evaluate causal relationships.     

Crystal structure of thermitase and stability of subtilisins

Crystal structure of thermitase, a serine proteinase from Thermoactinomyces vulgaris, has been determined by X-ray diffraction at 1.4 A resolution. The atomic model of thermitase refined to an R-factor of 0.149 contains 1997 protein atoms, 182 water molecules and 2 Ca2+ ions. The tertiary structure of thermitase is similar to that of subtilisin BPN'. The greatest variations are connected with insertions and deletions in the amino acid sequence, which are located on the surface of the molecule. Higher thermostability of thermitase can be explained in terms of the three-dimensional structure. The Ca2+ ions, bound to the protein molecule, as well as the ionic and hydrophobic interactions are supposed to give the main contribution to the stabilization of the structure.     

Butyrylcholinesterase Predicts Cardiac Mortality in Young Patients with Acute Coronary Syndrome

Background

The incidence of acute coronary syndrome (ACS) in young people (≤65 years) is continuously rising. While prognostic factors in ACS are well-investigated less attention has been paid to their age-dependent prognostic value and their particular relevance in younger patients. The aim of our study was to assess the age-dependent prognostic impact of butyrylcholinesterase (BChE).

Methods

Retrospective cohort study including 624 patients with ACS. Patients were stratified by age into equal groups (n = 208) corresponding to “young patients” (45–64 years), "middle-aged patients” (65–84 years) and “old patients” (85–100 years). Cox regression hazard analysis was used to assess the influence of BChE on survival.

Results

After a mean follow-up time of 4.0 (interquartile range [IQR] 2.0–6.4) years, 154 patients (24.7%) died due to a cardiac cause. In the overall cohort, BChE was indirectly associated with cardiac mortality-free survival (adjusted hazard ratio (HR): 0.70 (95% confidence interval [CI] 0.53–0.93, p = 0.01). The primary-analysis of BChE by age strata showed the strongest effect in the age group 45–64 years with an adjusted HR per 1-SD of 0.28 (95% CI 0.12–0.64, p = 0.003), a weaker association with mortality in middle aged (65–84 years: adjusted HR per 1-SD 0.66 [95% CI: 0.41–1.06], p = 0.087), and no association in older patients (85–100 years: adjusted HR per 1-SD 0.89 [95% CI: 0.58–1.38], p = 0.613).

Conclusion

BChE is a strong predictor for cardiac mortality specifically in younger patients with ACS aged between 45 and 64 years. No significant association of BChE with cardiac-mortality was detected in other age classes.     

Improving microbial fitness in the mammalian gut by in vivo temporal functional metagenomics

Elucidating functions of commensal microbial genes in the mammalian gut is challenging because many commensals are recalcitrant to laboratory cultivation and genetic manipulation. We present Temporal FUnctional Metagenomics sequencing (TFUMseq), a platform to functionally mine bacterial genomes for genes that contribute to fitness of commensal bacteria in vivo. Our approach uses metagenomic DNA to construct large‐scale heterologous expression libraries that are tracked over time in vivo by deep sequencing and computational methods. To demonstrate our approach, we built a TFUMseq plasmid library using the gut commensal Bacteroides thetaiotaomicron (Bt) and introduced Escherichia coli carrying this library into germfree mice. Population dynamics of library clones revealed Bt genes conferring significant fitness advantages in E. coli over time, including carbohydrate utilization genes, with a Bt galactokinase central to early colonization, and subsequent dominance by a Bt glycoside hydrolase enabling sucrose metabolism coupled with co‐evolution of the plasmid library and E. coli genome driving increased galactose utilization. Our findings highlight the utility of functional metagenomics for engineering commensal bacteria with improved properties, including expanded colonization capabilities in vivo.     

Analysis of the copy number profiles of several tumor samples from the same patient reveals the successive steps in tumorigenesis

We present a computational method, TuMult, for reconstructing the sequence of copy number changes driving carcinogenesis, based on the analysis of several tumor samples from the same patient. We demonstrate the reliability of the method with simulated data, and describe applications to three different cancers, showing that TuMult is a valuable tool for the establishment of clonal relationships between tumor samples and the identification of chromosome aberrations occurring at crucial steps in cancer progression.     

A Monoacylglycerol Lipase from Mycobacterium smegmatis Involved in Bacterial Cell Interaction

MSMEG_0220 from Mycobacterium smegmatis, the ortholog of the Rv0183 gene from M. tuberculosis, recently identified and characterized as encoding a monoacylglycerol lipase, was cloned and expressed in Escherichia coli. The recombinant protein (rMSMEG_0220), which exhibits 68% amino acid sequence identity with Rv0183, showed the same substrate specificity and similar patterns of pH-dependent activity and stability as the M. tuberculosis enzyme. rMSMEG_0220 was found to hydrolyze long-chain monoacylglycerol with a specific activity of 143 ± 6 U mg⁻¹. Like Rv0183 in M. tuberculosis, MSMEG_0220 was found to be located in the cell wall. To assess the in vivo role of the homologous proteins, an MSMEG_0220 disrupted mutant of M. smegmatis (MsΔ0220) was produced. An intriguing change in the colony morphology and in the cell interaction, which were partly restored in the complemented mutant containing either an active (ComMsΔ0220) or an inactive (ComMsΔ0220S111A) enzyme, was observed. Growth studies performed in media supplemented with monoolein showed that the ability of both MsΔ0220 and ComMsΔ0220S111A to grow in the presence of this lipid was impaired. Moreover, studies of the antimicrobial susceptibility of the MsΔ0220 strain showed that this mutant is more sensitive to rifampin and more resistant to isoniazid than the wild-type strain, pointing to a critical structural role of this enzyme in mycobacterial physiology, in addition to its function in the hydrolysis of exogenous lipids.Tuberculosis, which is caused by Mycobacterium tuberculosis, is a major public health issue worldwide. Because of the emergence of multidrug-resistant (MDR) and extensively drug-resistant (XDR) strains and the high incidence of HIV and tuberculosis coinfection (16), it is becoming increasingly difficult to combat the spread of this disease, and the global health burden of tuberculosis is extremely heavy. The reasons for the persistence of the tubercle bacillus include not only its ability to enter into a state of dormancy in its host for decades, evading the immune system by forming structures called granulomas (17), but also its unique and complex cell wall composed of specific lipids (8). These characteristics are thought to be good focus points for drug development. In granulomas, during the nonreplicative stage, the bacteria have been found to accumulate lipids in the form of intracellular lipid inclusion bodies (LIBs) (13). These lipids are composed mainly of triacylglycerols (TAG) (9, 13) and may originate from the lipolysis of host lipids and/or fatty acid uptake. In fact, M. tuberculosis in the granuloma center can even accumulate lipids originating from the degradation of immune cells (20). In addition, it has been reported that M. tuberculosis internalized by foamy macrophages accumulated LIBs when it joined cell lipid droplets composed of neutral lipids (32). Lipid storage may provide the bacillus with energy via the β-oxidation pathway followed by the glyoxylate cycle, during the chronic phase and the reactivation step (3, 17). These lipids may also supply precursors for the synthesis of bacterial cell membrane lipids, which play a key role in the pathogenicity of M. tuberculosis (4, 23). To investigate the molecular basis of the virulence and pathogenicity of M. tuberculosis, it was therefore proposed to study the lipid metabolism and cell wall remodeling processes in this bacterium.The enzymes involved in the lipid degradation processes induced by this bacterium have attracted considerable attention during the last few years. Based on the complete M. tuberculosis H37Rv genome sequence (6), several open reading frames (ORFs) encoding proteins potentially involved in the lipid metabolism of this strain have been identified, among which are the two lipases from M. tuberculosis that have been purified and characterized so far. Deb et al. identified an enzyme, Rv3097c (LipY), belonging to the hormone-sensitive lipase family, which is able to hydrolyze long-chain TAG (10). A study of LIB mobilization in a lipY-deficient mutant has shown that LipY was involved in TAG hydrolysis under nutriment-deprived conditions (10). LipY may therefore be involved in the degradation of TAG stored during the dormant stage and the subsequent reactivation of the pathogen. In addition, electron microscopy immunolabeling studies of LipY clearly showed that the enzyme had a cell surface localization, thus in direct contact with the host immune system (28). The last identified lipase to date is a monoacylglycerol lipase annotated Rv0183 (7). Like LipY, Rv0183 is located in the cell wall, but its exact physiological function has not yet been elucidated. One hypothesis could be that, like some mammalian cells (e.g., adipocytes), M. tuberculosis expresses several lipolytic enzymes sequentially involved in the lipolysis of TAG (37). The Rv0183 enzyme is conserved in M. bovis (Mb0189) and M. leprae (ML2603), as well as in M. smegmatis (MSMEG_0220), a nonpathogenic mycobacterium which provides a useful model organism and a surrogate host for molecular analysis of M. tuberculosis (19). In order to decipher the cellular role of Rv0183 in M. tuberculosis H37Rv and its contribution to the lipid metabolism of this bacterium, biochemical studies were performed on the homologue MSMEG_0220. For this purpose, the MSMEG_0220 gene from M. smegmatis, encoding a protein showing 68% amino acid sequence identity with Rv0183, was cloned, and the recombinant MSMEG_0220 enzyme (rMSMEG_0220) was produced in Escherichia coli, purified, and biochemically characterized. An M. smegmatis mutant with an MSMEG_0220 disrupted gene was produced to investigate the physiological role of MSMEG_0220.     

Birds are tracking climate warming, but not fast enough

Range shifts of many species are now documented as a response to global warming. But whether these observed changes are occurring fast enough remains uncertain and hardly quantifiable. Here, we developed a simple framework to measure change in community composition in response to climate warming. This framework is based on a community temperature index (CTI) that directly reflects, for a given species assemblage, the balance between low- and high-temperature dwelling species. Using data from the French breeding bird survey, we first found a strong increase in CTI over the last two decades revealing that birds are rapidly tracking climate warming. This increase corresponds to a 91 km northward shift in bird community composition, which is much higher than previous estimates based on changes in species range edges. During the same period, temperature increase corresponds to a 273 km northward shift in temperature. Change in community composition was thus insufficient to keep up with temperature increase: birds are lagging approximately 182 km behind climate warming. Our method is applicable to any taxa with large-scale survey data, using either abundance or occurrence data. This approach can be further used to test whether different delays are found across groups or in different land-use contexts.     

Estimating co-extinction threats in terrestrial ecosystems

The biosphere is changing rapidly due to human endeavour. Because ecological communities underlie networks of interacting species, changes that directly affect some species can have indirect effects on others. Accurate tools to predict these direct and indirect effects are therefore required to guide conservation strategies. However, most extinction-risk studies only consider the direct effects of global change—such as predicting which species will breach their thermal limits under different warming scenarios—with predictions of trophic cascades and co-extinction risks remaining mostly speculative. To predict the potential indirect effects of primary extinctions, data describing community interactions and network modelling can estimate how extinctions cascade through communities. While theoretical studies have demonstrated the usefulness of models in predicting how communities react to threats like climate change, few have applied such methods to real-world communities. This gap partly reflects challenges in constructing trophic network models of real-world food webs, highlighting the need to develop approaches for quantifying co-extinction risk more accurately. We propose a framework for constructing ecological network models representing real-world food webs in terrestrial ecosystems and subjecting these models to co-extinction scenarios triggered by probable future environmental perturbations. Adopting our framework will improve estimates of how environmental perturbations affect whole ecological communities. Identifying species at risk of co-extinction (or those that might trigger co-extinctions) will also guide conservation interventions aiming to reduce the probability of co-extinction cascades and additional species losses.