Metabolism and occurrence of methanogenic and sulfate-reducing syntrophic acetate oxidizing communities in haloalkaline environments

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb. 2018.03039/full#supplementary-materialAnaerobic syntrophic acetate oxidation (SAO) is a thermodynamically unfavorable process involving a syntrophic acetate oxidizing bacterium (SAOB) that forms interspecies electron carriers (IECs). These IECs are consumed by syntrophic partners, typically hydrogenotrophic methanogenic archaea or sulfate reducing bacteria. In this work, the metabolism and occurrence of SAOB at extremely haloalkaline conditions were investigated, using highly enriched methanogenic (M-SAO) and sulfate-reducing (S-SAO) cultures from south-eastern Siberian hypersaline soda lakes. Activity tests with the M-SAO and S-SAO cultures and thermodynamic calculations indicated that hydrogen and formate are important IECs in both SAO cultures. Metagenomic analysis of the M-SAO cultures showed that the dominant SAOB was Candidatus Syntrophonatronum acetioxidans, and a near-complete draft genome of this SAOB was reconstructed. Ca. S. acetioxidans has all genes necessary for operating the Wood-Ljungdahl pathway, which is likely employed for acetate oxidation. It also encodes several genes essential to thrive at haloalkaline conditions; including a Na+-dependent ATP synthase and marker genes for salt-out strategies for osmotic homeostasis at high soda conditions. Membrane lipid analysis of the M-SAO culture showed the presence of unusual bacterial diether membrane lipids which are presumably beneficial at extreme haloalkaline conditions. To determine the importance of SAO in haloalkaline environments, previously obtained 16S rRNA gene sequencing data and metagenomic data of five different hypersaline soda lake sediment samples were investigated, including the soda lakes where the enrichment cultures originated from. The draft genome of Ca. S. acetioxidans showed highest identity with two metagenome-assembled genomes (MAGs) of putative SAOBs that belonged to the highly abundant and diverse Syntrophomonadaceae family present in the soda lake sediments. The 16S rRNA amplicon datasets of the soda lake sediments showed a high similarity of reads to Ca. S. acetioxidans with abundance as high as 1.3% of all reads, whereas aceticlastic methanogens and acetate oxidizing sulfate-reducers were not abundant (0.1%) or could not be detected. These combined results indicate that SAO is the primary anaerobic acetate oxidizing pathway at extreme haloalkaline conditions performed by haloalkaliphilic syntrophic consortia.This research was supported by the Soehngen Institute of AnaerobicMicrobiology(SIAM) Gravitation grant(024.002.002) of the Netherlands Ministry of Education, Culture and Science and the Netherlands Organisation for Scientific Research (NWO). GM and CV were supported by the ERC Advanced Grant PARASOL (No. 322551). DS also received support from the Russian Foundation for Basic Research (16-04-00035) and the Russian Academy of Sciences and Federal Agency of Scientific Organizations(0104-2018-0033), AS by the ERC Advanced Grant Novel Anaerobes (No. 323009), and JD by the ERC Advanced Grant Microlipids (No.694569).info:eu-repo/semantics/publishedVersio

A prediction model for primary aldosteronism when the salt loading test is inconclusive

Objective: To develop a prediction model to confirm or exclude primary aldosteronism (PA) in patients with an inconclusive salt loading test (SLT). Context: Diagnosis in patients with a suspicion of PA can be confirmed using an SLT. In case of inconclusive test results the decision about how to manage the patient is usually based on contextual clinical data. Design: We included a retrospective cohort of 276 patients in the final analysis. Methods: All patients underwent an SLT between 2005 and 2016 in our university medical center. The SLT was inconclusive (post-infusion aldosterone levels 140–280 pmol/L) in 115 patients. An expert panel then used contextual clinical data to diagnose PA in 45 of them. Together with 101 patients with a positive SLT this resulted in a total of 146 patients with PA. A total of 11 variables were used in a multivariable logistic regression analysis. We assessed internal validity by bootstrapping techniques. Results: The following variables were independently associated with PA: more intense potassium supplementation, lower plasma potassium concentration, lower plasma renin concentration before SLT and higher plasma aldosterone concentration after SLT. The resulting prediction model had a sensitivity of 84.4% and a specificity of 94.3% in patients with an inconclusive SLT. The positive and negative predictive values were 90.5 and 90.4%, respectively. Conclusions: We developed a prediction model for the diagnosis of PA in patients with an inconclusive SLT that results in a diagnosis that was in high agreement with that of an expert panel

Muscle Toxicity of Drugs: When Drugs Turn Physiology into Pathophysiology

Drugs are prescribed to manage or prevent symptoms and diseases, but may sometimes cause unexpected toxicity to muscles. The symptomatology and clinical manifestations of the myotoxic reaction can vary significantly between drugs and between patients on the same drug. This poses a challenge on how to recognize and prevent the occurrence of drug-induced muscle toxicity. The key to appropriate management of myotoxicity is prompt recognition that symptoms of patients may be drug related and to be aware that inter-individual differences in susceptibility to drug-induced toxicity exist. The most prevalent and well-documented drug class with unintended myotoxicity are the statins, but even today new classes of drugs with unintended myotoxicity are being discovered. This review will start off by explaining the principles of drug-induced myotoxicity and the different terminologies used to distinguish between grades of toxicity. The main part of the review will focus on the most important pathogenic mechanisms by which drugs can cause muscle toxicity, which will be exemplified by drugs with high risk of muscle toxicity. This will be done by providing information on key clinical and laboratory aspects, muscle electromyography patterns and biopsy results, and pathological mechanism and management for a specific drug from each pathogenic classification. In addition, rather new classes of drugs with unintended myotoxicity will be highlighted. Furthermore, we will explain why it is so difficult to diagnose drug-induced myotoxicity, and which tests can be used as a diagnostic aid. Lastly, a brief description will be given of how to manage and treat drug-induced myotoxicity.</p

The effect of a single bout of exercise on vitamin B2 status is not different between high-and low-fit females

High-fitness individuals have been suggested to be at risk of a poor vitamin B2 (riboflavin) status due to a potentially higher vitamin B2 demand, as measured by the erythrocyte glutathione reductase (EGR) activation coefficient (EGRAC). Longer-term exercise interventions have been shown to result in a lower vitamin B2 status, but studies are contradictory. Short-term exercise effects potentially contribute to discrepancies between studies but have only been tested in limited study populations. This study investigated if vitamin B2 status, measured by EGRAC, is affected by a single exercise bout in females who differ in fitness levels, and that represents long-term physical activity. At baseline and overnight after a 60-min cycling bout at 70% ˙VO2 peak, EGR activity and EGRAC were measured in 31 young female adults, divided into a high-fit (VO2 peak ≥ 47 mL/kg/min, N = 15) and low-fit (VO2 peak ≤ 37 mL/kg/min, N = 16) group. A single exercise bout significantly increased EGR activity in high-fit and low-fit females (Ptime = 0.006). This response was not affected by fitness level (Ptime*group = 0.256). The effect of exercise on EGRAC was not significant (Ptime = 0.079) and not influenced by EGR activity. The exercise response of EGRAC was not significantly different between high-fit and low-fit females (Ptime*group = 0.141). Thus, a single exercise bout increased EGR activity, but did not affect EGRAC, indicating that vitamin B2 status was not affected. The exercise response on EGRAC and EGR did not differ between high-fit and low-fit females

A comparison of high‑throughput plasma NMR protocols for comparative untargeted metabolomics (Metabolomics

Following publication of the original article, the authors would like to correct a sentence in the paragraph “1H-NMR spectra were recorded at 298 K…” under the heading “NMR experiments”. The sentence currently reads: “The LED pulse sequence had the form -RD-901-G1- 1801-G1-901-G2-T-901-G1-1801-G1-901-G2-t-901-acquire FID, where RD is a relaxation delay, 901 is a 901 RF pulse, G1 is the pulsed-field gradient that is applied to allow editing, 1801 is a 1801 RF pulse, G2 is a spoil gradient applied to remove unwanted magnetization components. The diffusion delay Δ is the time during which the molecules are allowed to diffuse—this is the period (901-G1-1801-G1- 901-G2-T-); and t is a delay to allow the longitudinal eddy currents caused within the sample to decay (Beckonert et al. 2007).” The sentence should read: “The LED pulse sequence had the form -RD-90°-G1- 180°-G1-90°-G2-T-90°-G1-180°-G1-90°-G2-t-90°-acquire FID, where RD is a relaxation delay, 90° is a 90° RF pulse, G1 is the pulsed-field gradient that is applied to allow editing, 180° is a 180° RF pulse, G2 is a spoil gradient applied to remove unwanted magnetization components. The diffusion delay ? is the time during which the molecules are allowed to diffuse—this is the period (90°-G1-180°-G1-90°-G2 T-); and t is a delay to allow the longitudinal eddy currents caused within the sample to decay (Beckonert et al. 2007).” This has been corrected with this erratum.</p

Pre- versus post-operative untargeted plasma nuclear magnetic resonance spectroscopy metabolomics of pheochromocytoma and paraganglioma

PURPOSE Pheochromocytomas and Paragangliomas (PPGL) result in chronic catecholamine excess and serious health complications. A recent study obtained a metabolic signature in plasma from PPGL patients; however, its targeted nature may have generated an incomplete picture and a broader approach could provide additional insights. We aimed to characterize the plasma metabolome of PPGL patients before and after surgery, using an untargeted approach, and to broaden the scope of the investigated metabolic impact of these tumors. DESIGN A cohort of 36 PPGL patients was investigated. Blood plasma samples were collected before and after surgical tumor removal, in association with clinical and tumor characteristics. METHODS Plasma samples were analyzed using untargeted nuclear magnetic resonance (NMR) spectroscopy metabolomics. The data were evaluated using a combination of uni- and multi-variate statistical methods. RESULTS Before surgery, patients with a nonadrenergic tumor could be distinguished from those with an adrenergic tumor based on their metabolic profiles. Tyrosine levels were significantly higher in patients with high compared to those with low BMI. Comparing subgroups of pre-operative samples with their post-operative counterparts, we found a metabolic signature that included ketone bodies, glucose, organic acids, methanol, dimethyl sulfone and amino acids. Three signals with unclear identities were found to be affected. CONCLUSIONS Our study suggests that the pathways of glucose and ketone body homeostasis are affected in PPGL patients. BMI-related metabolite levels were also found to be altered, potentially linking muscle atrophy to PPGL. At baseline, patient metabolomes could be discriminated based on their catecholamine phenotype

Bimolecular Fluorescence Complementation (BiFC) experiments in tobacco leaf epidermis.

<p>Confocal images are presented, showing YFP fluorescence indicating interaction. Tests for interactions between the CESAs and truncated versions of KOR1 are shown. (A) CESA1/KOR1N, (B) CESA1/KOR1C, (C) CESA1/KOR1TMD, (D) CESA3/KOR1N, E) CESA3/KOR1C, (F) CESA3/KOR1TMD, (G) CESA6/KOR1N, (H) CESA6/KOR1C, I) CESA6/KOR1TMD, (J) CESA4/KOR1N, (K) CESA4/KOR1C, (L) CESA4/KOR1TMD, (M) CESA8/KOR1N, (N) CESA8/KOR1C, (O) CESA8/KOR1TMD, (P) CESA7/KOR1N, (Q) CESA7/KOR1C, (R) CESA7/KOR1TMD. The results are representative of three independent experiments, n = 3. Scale bars = 100 µm.</p

Interactions between KOR 1 and the different secondary CESA proteins using the Membrane-based Yeast Two Hybrid.

<p>The bars represent the percentage of yeast colonies grown for 3 days on selective medium at 30°C. KOR1 was expressed in yeast as bait and the different secondary CESA proteins as prey (as indicated in the legend). ALG5 protein fused to wild-type ubiquitin domain was used as a positive control (POS) and NubG, fused to mutated ubiquitin domain as neg control (NEG). The results are representative of three independent experiments, n = 3, Asterisks indicate statistically significant differences compared with the negative control (Student’s <i>t</i> test, *P<0.05).</p