The Pseudomonas aeruginosa antimetabolite L -2-amino-4-methoxy-trans-3-butenoic acid (AMB) is made from glutamate and two alanine residues via a thiotemplate-linked tripeptide precursor.

The Pseudomonas aeruginosa toxin L-2-amino-4-methoxy-trans-3-butenoic acid (AMB) is a non-proteinogenic amino acid which is toxic for prokaryotes and eukaryotes. Production of AMB requires a five-gene cluster encoding a putative LysE-type transporter (AmbA), two non-ribosomal peptide synthetases (AmbB and AmbE), and two iron(II)/α-ketoglutarate-dependent oxygenases (AmbC and AmbD). Bioinformatics analysis predicts one thiolation (T) domain for AmbB and two T domains (T1 and T2) for AmbE, suggesting that AMB is generated by a processing step from a precursor tripeptide assembled on a thiotemplate. Using a combination of ATP-PPi exchange assays, aminoacylation assays, and mass spectrometry-based analysis of enzyme-bound substrates and pathway intermediates, the AmbB substrate was identified to be L-alanine (L-Ala), while the T1 and T2 domains of AmbE were loaded with L-glutamate (L-Glu) and L-Ala, respectively. Loading of L-Ala at T2 of AmbE occurred only in the presence of AmbB, indicative of a trans loading mechanism. In vitro assays performed with AmbB and AmbE revealed the dipeptide L-Glu-L-Ala at T1 and the tripeptide L-Ala-L-Glu-L-Ala attached at T2. When AmbC and AmbD were included in the assay, these peptides were no longer detected. Instead, an L-Ala-AMB-L-Ala tripeptide was found at T2. These data are in agreement with a biosynthetic model in which L-Glu is converted into AMB by the action of AmbC, AmbD, and tailoring domains of AmbE. The importance of the flanking L-Ala residues in the precursor tripeptide is discussed.

Modelling of iron-filled magneto-active polymers with a dispersed chain-like microstructure

Magneto-active polymers are a class of smart materials commonly manufactured by mixing micron-sized iron particles in a rubber-like matrix. When cured in the presence of an externally applied magnetic field, the iron particles arrange themselves into chain-like structures that lend an overall anisotropy to the material. It has been observed through electron micrographs and X-ray tomographs that these chains are not always perfect in structure, and may have dispersion due to the conditions present during manufacturing or some undesirable material properties. We model the response of these materials to coupled magneto-mechanical loading in this paper using a probability based structure tensor that accounts for this imperfect anisotropy. The response of the matrix material is decoupled from the chain phase, though still being connected through kinematic constraints. The latter is based on the definition of a 'chain deformation gradient' and a 'chain magnetic field'. We conclude with numerical examples that demonstrate the effect of chain dispersion on the response of the material to magnetoelastic loading.

Acute schistosomiasis: a risk underestimated by travelers and a diagnosis frequently missed by general practitioners-a cluster analysis of 42 travelers.

BACKGROUND: In 2011, a patient was admitted to our hospital with acute schistosomiasis after having returned from Madagascar and having bathed at the Lily waterfalls. On the basis of this patient's indication, infection was suspected in 41 other subjects. This study investigated (1) the knowledge of the travelers about the risks of schistosomiasis and their related behavior to evaluate the appropriateness of prevention messages and (2) the diagnostic workup of symptomatic travelers by general practitioners to evaluate medical care of travelers with a history of freshwater exposure in tropical areas. METHODS: A questionnaire was sent to the 42 travelers with potential exposure to schistosomiasis. It focused on pre-travel knowledge of the disease, bathing conditions, clinical presentation, first suspected diagnosis, and treatment. RESULTS: Of the 42 questionnaires, 40 (95%) were returned, among which 37 travelers (92%) reported an exposure to freshwater, and 18 (45%) were aware of the risk of schistosomiasis. Among these latter subjects, 16 (89%) still reported an exposure to freshwater. Serology was positive in 28 (78%) of 36 exposed subjects at least 3 months after exposure. Of the 28 infected travelers, 23 (82%) exhibited symptoms and 16 (70%) consulted their general practitioner before the information about the outbreak had spread, but none of these patients had a serology for schistosomiasis done during the first consultation. CONCLUSIONS: The usual prevention message of avoiding freshwater contact when traveling in tropical regions had no impact on the behavior of these travelers, who still went swimming at the Lily waterfalls. This prevention message should, therefore, be either modified or abandoned. The clinical presentation of acute schistosomiasis is often misleading. General practitioners should at least request an eosinophil count, when confronted with a returning traveler with fever. If eosinophilia is detected, it should prompt the search for a parasitic disease.

Physicochemical characterization of nebulized superparamagnetic iron oxide nanoparticles (SPIONs)

Abstract Background: Aerosol-mediated delivery of nano-based therapeutics to the lung has emerged as a promising alternative for treatment and prevention of lung diseases. Superparamagnetic iron oxide nanoparticles (SPIONs) have attracted significant attention for such applications due to their biocompatibility and magnetic properties. However, information is lacking about the characteristics of nebulized SPIONs for use as a therapeutic aerosol. To address this need, we conducted a physicochemical characterization of nebulized Rienso, a SPION-based formulation for intravenous treatment of anemia. Methods: Four different concentrations of SPION suspensions were nebulized with a one-jet nebulizer. Particle size was measured in suspension by transmission electron microscopy (TEM), photon correlation spectroscopy (PCS), and nanoparticle tracking analysis (NTA), and in the aerosol by a scanning mobility particle sizer (SMPS). Results: The average particle size in suspension as measured by TEM, PCS, and NTA was 9±2 nm, 27±7 nm, and 56±10 nm, respectively. The particle size in suspension remained the same before and after the nebulization process. However, after aerosol collection in an impinger, the suspended particle size increased to 159±46 nm as measured by NTA. The aerosol particle concentration increased linearly with increasing suspension concentration, and the aerodynamic diameter remained relatively stable at around 75 nm as measured by SMPS. Conclusions: We demonstrated that the total number and particle size in the aerosol were modulated as a function of the initial concentration in the nebulizer. The data obtained mark the first known independent characterization of nebulized Rienso and, as such, provide critical information on the behavior of Rienso nanoparticles in an aerosol. The data obtained in this study add new knowledge to the existing body of literature on potential applications of SPION suspensions as inhaled aerosol therapeutics.

Soft tissue artifact distribution on lower limbs during treadmill gait: Influence of skin markers' location on cluster design.

Segment poses and joint kinematics estimated from skin markers are highly affected by soft tissue artifact (STA) and its rigid motion component (STARM). While four marker-clusters could decrease the STA non-rigid motion during gait activity, other data, such as marker location or STARM patterns, would be crucial to compensate for STA in clinical gait analysis. The present study proposed 1) to devise a comprehensive average map illustrating the spatial distribution of STA for the lower limb during treadmill gait and 2) to analyze STARM from four marker-clusters assigned to areas extracted from spatial distribution. All experiments were realized using a stereophotogrammetric system to track the skin markers and a bi-plane fluoroscopic system to track the knee prosthesis. Computation of the spatial distribution of STA was realized on 19 subjects using 80 markers apposed on the lower limb. Three different areas were extracted from the distribution map of the thigh. The marker displacement reached a maximum of 24.9mm and 15.3mm in the proximal areas of thigh and shank, respectively. STARM was larger on thigh than the shank with RMS error in cluster orientations between 1.2° and 8.1°. The translation RMS errors were also large (3.0mm to 16.2mm). No marker-cluster correctly compensated for STARM. However, the coefficient of multiple correlations exhibited excellent scores between skin and bone kinematics, as well as for STARM between subjects. These correlations highlight dependencies between STARM and the kinematic components. This study provides new insights for modeling STARM for gait activity.

Responding to Young People's Health Risks in Primary Care: A Cluster Randomised Trial of Training Clinicians in Screening and Motivational Interviewing.

OBJECTIVE: To evaluate the effectiveness of a complex intervention implementing best practice guidelines recommending clinicians screen and counsel young people across multiple psychosocial risk factors, on clinicians' detection of health risks and patients' risk taking behaviour, compared to a didactic seminar on young people's health. DESIGN: Pragmatic cluster randomised trial where volunteer general practices were stratified by postcode advantage or disadvantage score and billing type (private, free national health, community health centre), then randomised into either intervention or comparison arms using a computer generated random sequence. Three months post-intervention, patients were recruited from all practices post-consultation for a Computer Assisted Telephone Interview and followed up three and 12 months later. Researchers recruiting, consenting and interviewing patients and patients themselves were masked to allocation status; clinicians were not. SETTING: General practices in metropolitan and rural Victoria, Australia. PARTICIPANTS: General practices with at least one interested clinician (general practitioner or nurse) and their 14-24 year old patients. INTERVENTION: This complex intervention was designed using evidence based practice in learning and change in clinician behaviour and general practice systems, and included best practice approaches to motivating change in adolescent risk taking behaviours. The intervention involved training clinicians (nine hours) in health risk screening, use of a screening tool and motivational interviewing; training all practice staff (receptionists and clinicians) in engaging youth; provision of feedback to clinicians of patients' risk data; and two practice visits to support new screening and referral resources. Comparison clinicians received one didactic educational seminar (three hours) on engaging youth and health risk screening. OUTCOME MEASURES: Primary outcomes were patient report of (1) clinician detection of at least one of six health risk behaviours (tobacco, alcohol and illicit drug use, risks for sexually transmitted infection, STI, unplanned pregnancy, and road risks); and (2) change in one or more of the six health risk behaviours, at three months or at 12 months. Secondary outcomes were likelihood of future visits, trust in the clinician after exit interview, clinician detection of emotional distress and fear and abuse in relationships, and emotional distress at three and 12 months. Patient acceptability of the screening tool was also described for the intervention arm. Analyses were adjusted for practice location and billing type, patients' sex, age, and recruitment method, and past health risks, where appropriate. An intention to treat analysis approach was used, which included multilevel multiple imputation for missing outcome data. RESULTS: 42 practices were randomly allocated to intervention or comparison arms. Two intervention practices withdrew post allocation, prior to training, leaving 19 intervention (53 clinicians, 377 patients) and 21 comparison (79 clinicians, 524 patients) practices. 69% of patients in both intervention (260) and comparison (360) arms completed the 12 month follow-up. Intervention clinicians discussed more health risks per patient (59.7%) than comparison clinicians (52.7%) and thus were more likely to detect a higher proportion of young people with at least one of the six health risk behaviours (38.4% vs 26.7%, risk difference [RD] 11.6%, Confidence Interval [CI] 2.93% to 20.3%; adjusted odds ratio [OR] 1.7, CI 1.1 to 2.5). Patients reported less illicit drug use (RD -6.0, CI -11 to -1.2; OR 0·52, CI 0·28 to 0·96), and less risk for STI (RD -5.4, CI -11 to 0.2; OR 0·66, CI 0·46 to 0·96) at three months in the intervention relative to the comparison arm, and for unplanned pregnancy at 12 months (RD -4.4; CI -8.7 to -0.1; OR 0·40, CI 0·20 to 0·80). No differences were detected between arms on other health risks. There were no differences on secondary outcomes, apart from a greater detection of abuse (OR 13.8, CI 1.71 to 111). There were no reports of harmful events and intervention arm youth had high acceptance of the screening tool. CONCLUSIONS: A complex intervention, compared to a simple educational seminar for practices, improved detection of health risk behaviours in young people. Impact on health outcomes was inconclusive. Technology enabling more efficient, systematic health-risk screening may allow providers to target counselling toward higher risk individuals. Further trials require more power to confirm health benefits. TRIAL REGISTRATION: ISRCTN.com ISRCTN16059206.

Iron metabolism and incidence of metabolic syndrome.

BACKGROUND AND AIMS: Whether iron metabolism affects metabolic syndrome (METS) is debated. We assessed the association between several markers of iron metabolism and incidence of METS. METHODS AND RESULTS: Data from 3271 participants (1870 women, 51.3 ± 10.4 years), free of METS at baseline and followed for 5.5 years. The association of serum iron, ferritin and transferrin with incident METS was assessed separately by gender. Incidence of METS was 22.6% in men and 16.5% in women (p < 0.001). After multivariate adjustment, a positive association was found between transferrin and incident METS in men: odds ratio (OR) and 95% confidence interval for the fourth relative to the first quartile 1.55 (1.04-2.31), p for trend = 0.03, while no association was found for iron OR = 0.81 (0.53-1.24), p for trend = 0.33 and ferritin OR = 1.30 (0.88-1.92), p for trend = 0.018. In women, a negative association was found between iron and incident METS: OR for the fourth relative to the first quartile 0.51 (0.33-0.80), p for trend<0.03; the association between transferrin and incident METS was borderline significant: OR = 1.45 (0.97-2.17), p for trend = 0.07 and no association was found for ferritin: OR = 1.11 (0.76-1.63), p for trend = 0.58. CONCLUSION: Transferrin, not ferritin, is independently associated with an increased risk of incident METS; the protective effect of iron in women should be further explored.

Targeting iron-mediated retinal degeneration by local delivery of transferrin.

Iron is essential for retinal function but contributes to oxidative stress-mediated degeneration. Iron retinal homeostasis is highly regulated and transferrin (Tf), a potent iron chelator, is endogenously secreted by retinal cells. In this study, therapeutic potential of a local Tf delivery was evaluated in animal models of retinal degeneration. After intravitreal injection, Tf spread rapidly within the retina and accumulated in photoreceptors and retinal pigment epithelium, before reaching the blood circulation. Tf injected in the vitreous prior and, to a lesser extent, after light-induced retinal degeneration, efficiently protected the retina histology and function. We found an association between Tf treatment and the modulation of iron homeostasis resulting in a decrease of iron content and oxidative stress marker. The immunomodulation function of Tf could be seen through a reduction in macrophage/microglial activation as well as modulated inflammation responses. In a mouse model of hemochromatosis, Tf had the capacity to clear abnormal iron accumulation from retinas. And in the slow P23H rat model of retinal degeneration, a sustained release of Tf in the vitreous via non-viral gene therapy efficently slowed-down the photoreceptors death and preserved their function. These results clearly demonstrate the synergistic neuroprotective roles of Tf against retinal degeneration and allow identify Tf as an innovative and not toxic therapy for retinal diseases associated with oxidative stress.

Markers of iron metabolism and metabolic syndrome in Swiss adults

Plusieurs études populationnelles ont montré l'existence d'une association entre des taux sanguins élevés de transferrine et le syndrome métabolique (SM). Bien que cette association soit bien établie, restent encore à être décrites les associations entre le SM et les autres marqueurs sanguins du métabolisme du fer, tels que le fer, la transferrine (Tsf), la capacité totale de fixation de la transferrine (CTF) ou la saturation de la transferrine (SaTsf) sanguins. Le but de notre étude a été d'identifier les associations entre les différents marqueurs du métabolisme du fer (fer, ferritine, Tsf, CTF et SaTsf) et le SM. Les données de l'étude CoLaus, récoltées entre 2003 et 2006, ont été utilisées. Le SM était défini selon les critères du National Cholesterol Education Program Adult Panel III. L'analyse statistique a été faite en stratifiant selon le genre ainsi que le status ménopausal chez les femmes. Des 6733 participants, 1235 (18%) ont été exclus de fait d'absence de données concernant les variables qui nous intéressaient, ou chez qui nous avons soupçonné une possible hémochromatose non diagnostiquée (SaTsf> 50%). Des 5498 participants restant (âge moyen ± écart-type: 53 ± 11 ans), 2596 étaient des hommes, 1285 des femmes pré- et 1617 des femmes postménopausées. La prévalence du SM était de 29,4% chez les hommes, 8,3% et 25,5% chez les femmes pré- et postménopausées, respectivement. Dans les trois groupes, la prévalence du SM était la plus haute dans les quartiles les plus élevés de ferritine, Tsf et CTF, ainsi que dans le quartile le plus bas de SaTsf. Après ajustement sur l'âge, l'indice de masse corporelle, la protéine C réactive, la consommation de tabac et/ou d'alcool, la prise de suppléments en fer et les marqueurs hépatiques, l'appartenance au quartile le plus élevé de ferritine, Tsf ou CTF était associée à un risque plus important de SM chez les hommes et les femmes postménopausées : Odds ratio (OR) et [intervalle de confiance à 95%] pour la ferritine 1.44 [1.07-1.94] et 1.47 [0.99-2.17]; pour la Tsf et la CTF, OR=1.43 [1.06-1.91] et 2.13 [1.44-3.15] pour les hommes et les femmes postménopausées, respectivement. Au contraire, l'appartenance au quartile le plus élevé de la SaTsf était associé à un risque moins important de SM: OR=0.77 [0.57-1.05] et 0.59 [0.39-0.90] pour les hommes et les femmes postménopausées, respectivement. Il n'y avait aucune association entre les marqueurs sanguins du métabolisme du fer et le SM chez les femmes préménopausées, ni entre le fer sanguin et le SM chez les trois groupes. En conclusion, la majorité des marqueurs sanguins du métabolisme du fer, mais pas le fer lui-même, sont associés de manière indépendante au SM chez les hommes et les femmes postménopausées. -- Context: Excessive iron storage has been associated with metabolic syndrome (MS). Objective: To assess the association between markers of iron metabolism and MS in a healthy population. Design: Cross-sectional study conducted between 2003 and 2006. Setting: Population-based study in Lausanne, Switzerland. Patients: 5,498 participants aged 35-75 years, stratified by sex and menopausal status. Participants with transferrin saturation (TSAT) >50% were excluded. Intervention: None. Main Outcome Measures: serum iron, ferritin, transferrin, total iron binding capacity (TIBC) and TSAT. MS was defined according to ATP-III criteria. Results: Prevalence of MS was 29.4% in men, 8.3% in premenopausal and 25.5% in postmenopausal women. On bivariate analysis, the highest prevalence of MS occurred in the highest quartiles of serum ferritin, transferrin and TIBC, and in the lowest quartile of TSAT. After multivariate adjustment for age, body mass index, C-reactive protein, smoking, alcohol, liver markers and iron supplementation, men and postmenopausal women in the highest quartile of serum ferritin, transferrin and TIBC had a higher risk of presenting with MS: for ferritin, Odds ratio and [95% CI]=1.44 [1.07-1.94] for men and 1.47 [0.99-2.17] for postmenopausal women; for transferrin and TIBC, OR=1.43 [1.06-1.91] and 2.13 [1.44-3.15], Participants in the highest quartile of TSAT had a lower risk of MS: OR=0.77 [0.57-1.05] for men and 0.59 [0.39-0.90] for postmenopausal women. No association was found between iron and MS and between markers of iron metabolism and MS in premenopausal women. Conclusion: Ferritin, transferrin, TIBC are positively and TSAT is negatively associated with MS in men and postmenopausal women.

Effects of oral supplementation of iron on hepcidin blood concentrations among non-anaemic female blood donors: a randomized controlled trial.

BACKGROUND AND OBJECTIVES: Hepcidin is the main hormone that regulates iron balance. Its lowering favours digestive iron absorption in cases of iron deficiency or enhanced erythropoiesis. The careful dosage of this small peptide promises new diagnostic and therapeutic strategies. Its measurement is progressively being validated and now its clinical value must be explored in different physiological situations. Here, we evaluate hepcidin levels among premenopausal female donors with iron deficiency without anaemia. MATERIALS AND METHODS: In a preceding study, a 4-week oral iron treatment (80 mg/day) was administered in a randomized controlled trial (n = 145), in cases of iron deficiency without anaemia after a blood donation. We subsequently measured hepcidin at baseline and after 4 weeks of treatment, using mass spectrometry. RESULTS: Iron supplementation had a significant effect on plasma hepcidin compared to the placebo arm at 4 weeks [+0·29 nm [95% CI: 0·18 to 0·40]). There was a significant correlation between hepcidin and ferritin at baseline (R(2) = 0·121, P < 0·001) and after treatment (R(2) = 0·436, P < 0·001). Hepcidin levels at baseline were not predictive of concentration changes for ferritin or haemoglobin. However, hepcidin levels at 4 weeks were significantly higher (0·79 nm [95% CI: 0·53 to 1·05]) among ferritin responders. CONCLUSIONS: This study shows that a 4-week oral treatment of iron increased hepcidin blood concentrations in female blood donors with an initial ferritin concentration of less than 30 ng/ml. Apparently, hepcidin cannot serve as a predictor of response to iron treatment but might serve as a marker of the iron repletion needed for erythropoiesis.