Key points• Contradictory findings have been reported concerning the function of irisin and its precursor gene, skeletal muscle FNDC5, in energy homeostasis and metabolic health, and the associated regulatory role of exercise and PGC-1α.• We analysed the effects of different short-and long-term exercise regimens on muscle FNDC5and PGC-1α, and serum irisin, and studied the associations of irisin and FNDC5 with health parameters.• FNDC5 and serum irisin did not change after acute aerobic, long-term endurance training or endurance training combined with resistance exercise (RE) training, or associate with metabolic disturbances. A single RE bout increased FNDC5 mRNA in young, but not older men (27 vs. 62 years). Changes in PGC-1α or serum irisin were not consistently accompanied by changes in FNDC5.• Our data suggest that the effects of exercise on FNDC5 and irisin are not consistent, and that their role in health is questionable. Moreover, the regulatory mechanisms should be studied further.Abstract Recently, contradictory findings have been reported concerning the function of irisin and its precursor gene, skeletal muscle FNDC5, in energy homeostasis, and the associated regulatory role of exercise and PGC-1α. We therefore evaluated whether muscle FNDC5 mRNA and serum irisin are exercise responsive and whether PGC-1α expression is associated with FNDC5 expression. The male subjects in the study performed single exercises: (1) 1 h low-intensity aerobic exercise (AE) (middle-aged, n = 17), (2) a heavy-intensity resistance exercise (RE) bout (young n = 10, older n = 11) (27 vs. 62 years), (3) long-term 21 weeks endurance exercise (EE) training alone (twice a week, middle-aged, n = 9), or (4) combined EE and RE training (both twice a week, middle-aged, n = 9). Skeletal muscle mRNA expression was analysed by quantitative PCR and serum irisin by ELISA. No significant changes were observed in skeletal muscle PGC-1α, FNDC5 and serum irisin after AE, EE training or combined EE + RE training. However, a single RE bout increased PGC-1α by 4-fold in young and by 2-fold in older men, while FNDC5 mRNA only increased in young men post-RE, by 1.

Recent studies suggest that exercise alters the gut microbiome. We determined whether six-weeks endurance exercise, without changing diet, affected the gut metagenome and systemic metabolites of overweight women. Previously sedentary overweight women (n = 19) underwent a six-weeks endurance exercise intervention, but two were excluded due to antibiotic therapy. The gut microbiota composition and functions were analyzed by 16S rRNA gene amplicon sequencing and metagenomics. Body composition was analyzed with DXA X-ray densitometer and serum metabolomics with NMR metabolomics. Total energy and energy-yielding nutrient intakes were analyzed from food records using Micro-Nutrica software. Serum clinical variables were determined with KONELAB instrument. Soluble Vascular Adhesion Protein 1 (VAP-1) was measured with ELISA and its' enzymatic activity as produced hydrogen peroxide. The exercise intervention was effective, as maximal power and maximum rate of oxygen consumption increased while android fat mass decreased. No changes in diet were observed. Metagenomic analysis revealed taxonomic shifts including an increase in Akkermansia and a decrease in Proteobacteria. These changes were independent of age, weight, fat % as well as energy and fiber intake. Training slightly increased Jaccard distance of genus level β-diversity. Training did not alter the enriched metagenomic pathways, which, according to Bray Curtis dissimilarity analysis, may have been due to that only half of the subjects' microbiomes responded considerably to exercise. Nevertheless, tranining decreased the abundance of several genes including those related to fructose and amino acid metabolism. These metagenomic changes, however, were not translated into major systemic metabolic changes as only two metabolites, phospholipids and cholesterol in large VLDL particles, decreased after exercise. Training also decreased the amine oxidase activity of pro-inflammatory VAP-1, whereas no changes in CRP were detected. All clinical blood variables were within normal range, yet exercise slightly increased glucose and decreased LDL and HDL. In conclusion, exercise training modified the gut microbiome without greatly affecting systemic metabolites or body composition. Based on our data and existing literature, we propose that especially Akkermansia and Proteobacteria are exercise-responsive taxa. Our results warrant the need for further studies in larger cohorts to determine whether exercise types other than endurance exercise also modify the gut metagenome.

Faecalibacterium prausnitzii is considered as one of the most important bacterial indicators 32 of a healthy gut. We studied the effects of oral F. prausnitzii treatment on high-fat fed mice. 33Compared to the High-fat Control mice, F. prausnitzii-treated mice had lower hepatic fat 34 content, AST and ALT, and increased fatty-acid oxidation and adiponectin signaling in liver.

Next-generation sequencing (NGS) is currently the method of choice for analyzing gut microbiota composition. As gut microbiota composition is a potential future target for clinical diagnostics, it is of utmost importance to enhance and optimize the NGS analysis procedures. Here, we have analyzed the impact of DNA extraction and selected 16S rDNA primers on the gut microbiota NGS results. Bacterial DNA from frozen stool specimens was extracted with 5 commercially available DNA extraction kits. Special attention was paid to the semiautomated DNA extraction methods that could expedite the analysis procedure, thus being especially suitable for clinical settings. The microbial composition was analyzed with 2 distinct protocols: 1 targeting the V3-V4 and the other targeting the V4-V5 area of the bacterial 16S rRNA gene. The overall effect of DNA extraction on the gut microbiota 16S rDNA profile was relatively small, whereas the 16S rRNA gene target region had an immense impact on the results. Furthermore, semiautomated DNA extraction methods clearly appeared suitable for NGS procedures, proposing that application of these methods could importantly reduce hands-on time and human errors without compromising the validity of results.

The urea cycle disease carbamoyl-phosphate synthetase deficiency (CPS1D) has been associated with many mutations in the CPS1 gene [Häberle et al., 2011. Hum Mutat 32:579-589]. The disease-causing potential of most of these mutations is unclear. To test the mutations effects, we have developed a system for recombinant expression, mutagenesis, and purification of human carbamoyl-phosphate synthetase 1 (CPS1), a very large, complex, and fastidious enzyme. The kinetic and molecular properties of recombinant CPS1 are essentially the same as for natural human CPS1. Glycerol partially replaces the essential activator N-acetyl-l-glutamate (NAG), opening possibilities for treating CPS1D due to NAG site defects. The value of our expression system for elucidating the effects of mutations is demonstrated with eight clinical CPS1 mutations. Five of these mutations decreased enzyme stability, two mutations drastically hampered catalysis, and one vastly impaired NAG activation. In contrast, the polymorphisms p.Thr344Ala and p.Gly1376Ser had no detectable effects. Site-limited proteolysis proved the correctness of the working model for the human CPS1 domain architecture generally used for rationalizing the mutations effects. NAG and its analogue and orphan drug N-carbamoyl-l-glutamate, protected human CPS1 against proteolytic and thermal inactivation in the presence of MgATP, raising hopes of treating CPS1D by chemical chaperoning with N-carbamoyl-l-glutamate.

ObjectiveTo identify serum biomarkers through metabolomics approach that distinguishes physically inactive overweight/obese women with metabolic syndrome from those who are metabolically healthy, independent of body weight and fat mass.MethodsWe applied nuclear magnetic resonance spectroscopy-based profiling of fasting serum samples to examine the metabolic differences between 78 previously physically inactive, body weight and fat mass matched overweight/obese premenopausal women with and without MetS. MetS was defined as the presence of at least three of the following five criteria: waist circumference ≥88 cm, serum triacylglycerol ≥1.7 mmol/L, and high density lipoprotein cholesterol (HDL-C) <1.30 mmol/L, blood pressure ≥ 130/85 mmHg and fasting glucose ≥5.6 mmol/L). Principal component analysis was used to reduce the large number of correlated variables to fewer uncorrelated factors.ResultsTwo metabolic factors were associated with MetS independent of BMI, fat mass, waist circumference and physical activity/fitness. Factor comprising branched-chain amino acids (BCAA) and aromatic amino acids (AAA) and orosomucoid was associated with all clinical risk factors (p < 0.01 for all).ConclusionTwo metabolic factors distinguish overweight/obese women with metabolic syndrome from those who are metabolically healthy independent of body weight, fat mass and physical activity/fitness. In particular, factor comprising BCAA, AAA and orosomucoid seems auspicious biomarker determining metabolic health as it was associated with all clinical risk factors. Further research is needed to determine the public health and clinical significance of these results in terms of screening to identify those at greatest cardio-metabolic risk for whom appropriate intervention strategies should be developed.

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NAG (N-acetyl-L-glutamate), the essential allosteric activator of the first urea cycle enzyme, CPSI (carbamoyl phosphate synthetase I), is a key regulator of this crucial cycle for ammonia detoxification in animals (including humans). Automated cavity searching and flexible docking have allowed identification of the NAG site in the crystal structure of human CPSI C-terminal domain. The site, a pocket lined by invariant residues and located between the central beta-sheet and two alpha-helices, opens at the beta-sheet C-edge and is roofed by a three-residue lid. It can tightly accommodate one extended NAG molecule having the delta-COO- at the pocket entry, the alpha-COO- and acetamido groups tightly hydrogen bonded to the pocket, and the terminal methyl of the acetamido substituent surrounded by hydrophobic residues. This binding mode is supported by the observation of reduced NAG affinity upon mutation of NAG-interacting residues of CPSI (recombinantly expressed using baculovirus/insect cells); by the fine-mapping of the N-chloroacetyl-L-glutamate photoaffinity labelling site of CPSI; and by previously established structure-activity relationships for NAG analogues. The location of the NAG site is identical to that of the weak bacterial CPS activator IMP (inosine monophosphate) in Escherichia coli CPS, indicating a common origin for these sites and excluding any relatedness to the binding site of the other bacterial CPS activator, ornithine. Our findings open the way to the identification of CPSI deficiency patients carrying NAG site mutations, and to the possibility of tailoring the activator to fit a given NAG site mutation, as exemplified here with N-acetyl-L(+/-)-beta-phenylglutamate for the W1410K CPSI mutation.