Background Parkinson’s disease (PD) is a prevalent neurological disease in the elderly with increasing morbidity and mortality. Despite enormous efforts, rapid and accurate diagnosis of PD is still compromised. Metabolomics defines the final readout of genome-environment interactions through the analysis of the entire metabolic profile in biological matrices. Recently, unbiased metabolic profiling of human sample has been initiated to identify novel PD metabolic biomarkers and dysfunctional metabolic pathways, however, it remains a challenge to define reliable biomarker(s) for clinical use. Methods We presented a comprehensive metabolic evaluation for identifying crucial metabolic disturbances in PD using liquid chromatography-high resolution mass spectrometry-based metabolomics approach. Plasma samples from 3 independent cohorts (n = 460, 223 PD, 169 healthy controls (HCs) and 68 PD-unrelated neurological disease controls) were collected for the characterization of metabolic changes resulted from PD, antiparkinsonian treatment and potential interferences of other diseases. Unbiased multivariate and univariate analyses were performed to determine the most promising metabolic signatures from all metabolomic datasets. Multiple linear regressions were applied to investigate the associations of metabolites with age, duration time and stage of PD. The combinational biomarker model established by binary logistic regression analysis was validated by 3 cohorts. Results A list of metabolites including amino acids, acylcarnitines, organic acids, steroids, amides, and lipids from human plasma of 3 cohorts were identified. Compared with HC, we observed significant reductions of fatty acids (FFAs) and caffeine metabolites, elevations of bile acids and microbiota-derived deleterious metabolites, and alterations in steroid hormones in drug-naïve PD. Additionally, we found that L-dopa treatment could affect plasma metabolome involved in phenylalanine and tyrosine metabolism and alleviate the elevations of bile acids in PD. Finally, a metabolite panel of 4 biomarker candidates, including FFA 10:0, FFA 12:0, indolelactic acid and phenylacetyl-glutamine was identified based on comprehensive discovery and validation workflow. This panel showed favorable discriminating power for PD. Conclusions This study may help improve our understanding of PD etiopathogenesis and facilitate target screening for therapeutic intervention. The metabolite panel identified in this study may provide novel approach for the clinical diagnosis of PD in the future.

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Dietary APP supplementation improves the carcass traits, meat color, meat flavor, and meat nutritional value in finishing pigs.

The expending of elderly population worldwide has resulted in a dramatic rise in the incidence of chronic diseases such as Alzheimer's disease (AD). Inadequate understanding of the mechanisms underlying AD has hampered the development of efficient tools for definitive diagnosis and curative interventions. Previous studies have attempted to discover reliable biomarkers of AD, but these biomarkers can only be measured through invasive (neuropathological markers in cerebrospinal fluid) or expensive (positron emission tomography scanning or magnetic resonance imaging) techniques. Metabolomics is a high-throughput technology that can detect and catalog large numbers of small metabolites and may be a useful tool for characterization of AD and identification of biomarkers. In this study, we used ultra-performance liquid chromatography-mass spectrometry based untargeted metabolomics to measure the concentrations of plasma metabolites in a cohort of subjects with AD (n=44) and cognitively normal controls (Ctrl, n=94). The AD group showed marked reductions in levels of polyunsaturated fatty acids, acyl-carnitines, degradation products of tryptophan, and elevated levels of bile acids compared to the Ctrl group. We then validated the results using an independent cohort that included subjects with AD (n=30), mild cognitive impairment (MCI, n=13), healthy controls (n=43), and non-AD neurological disease controls (NDC, n=31). We identified five metabolites comprising cholic acid, chenodeoxycholic acid, allocholic acid, indolelactic acid, and tryptophan that were able to distinguish patients with AD from both Ctrl and NDC with satisfactory sensitivity and specificity. The concentrations of these metabolites were significantly correlated with disease severity. Our results also suggested that altered bile acid profiles in AD and MCI might indicate early risk for the development of AD. These findings may allow for development of new approaches for diagnosis of AD and may provide novel insights into AD pathogenesis.

SummaryThis study aimed to investigate the effects of spermine and extended spermine administration on the antioxidant status and expression of NF-E2-related factor 2 (Nrf2) signalling molecules in the thymus and spleen in suckling piglets. One half of eighty 12-day-old suckling piglets obtained sufficient nutrient intake supplemented with spermine (0.4 mmol/kg body weight), and another half received restricted nutrient intake supplemented with physiological saline in equal doses once a day for 7 hr or 3, 6 or 9 days in pairs. Spermine supplementation and its extended duration significantly decreased malondialdehyde (MDA) and protein carbonyl (PC) contents (p < .05), but markedly improved antisuperoxide anion (ASA), antihydroxyl radical (AHR), catalase (CAT), total superoxide dismutase (T-SOD), total antioxidant capacity (T-AOC), glutathione peroxidase (GPx) and glutathione-S-transferase (GST) activities (p < .05) and glutathione (GSH) content (p < .05) in the thymus and spleen. Additionally, realtime PCR analysis showed that spermine administration and extended spermine intake reduced Kelch-like ECH-associated protein 1 (Keap1) gene transcription and enhanced SOD1, GPx1, CAT, glutathione reductase (GR) and Nrf2 mRNA levels of the thymus and spleen (p < .05), and also improved GST gene expression in the thymus (p < .05).Notably, the spermine-supplemented time for the optimal effects of suckling piglet was determined to be 6 days. Collectively, the current study suggested that spermine supplementation and extended spermine administration could protect the health of the thymus and spleen from early weaning by enhancing the antioxidant status and regulating the expression of antioxidant-related signalling molecules. K E Y W O R D Santioxidant status, signalling molecule, spermine, spleen, suckling piglet, thymus | INTRODUCTIONThe suckling period is known as a crucial phase of growth and development that mammals naturally experience. In commercial pig production, the suckling piglet is generally weaned early to obtain excellent economic profit. At this time, multiple biological stress responses are caused by early weaning, and weaning stress is highly prominent (Wang, Zeng, et al., 2016). Weaning stress can contribute to numerous biological processes, including enhanced disease susceptibility and metabolic disorders (Yin et al., 2013(Yin et al., , 2014, impaired intestinal histomorphology and functions Zhu, Zhao, Chen, & Xu, 2012), reduced feed intake and suppressedgrowth (Campbell, Crenshaw, & Polo, 2013). Furthermore, weaning stress also exerts affirmative effects on generating excessive reactive oxygen species (ROS) in a normal amount of the body (Yin et al., 2014), which may further lead to oxidative stress and changes in many antioxidant enzymes in the antioxidant defence systems, such as superoxide dismutase, catalase and glutathione peroxidase (Han, Shuvaev, & Muzykantov, 2011). Suitable therapies and nutritional support (e.g., L-arginine, N-carbamylglutamate and putrescine) can provide beneficial effects...

Abstract:In this paper, a self-alignment method for strapdown inertial navigation systems based on the q-method is studied. In addition, an improved method based on integrating gravitational apparent motion to form apparent velocity is designed, which can reduce the random noises of the observation vectors. For further analysis, a novel self-alignment method using a Kalman filter based on adaptive filter technology is proposed, which transforms the self-alignment procedure into an attitude estimation using the observation vectors. In the proposed method, a linear psuedo-measurement equation is adopted by employing the transfer method between the quaternion and the observation vectors. Analysis and simulation indicate that the accuracy of the self-alignment is improved. Meanwhile, to improve the convergence rate of the proposed method, a new method based on parameter recognition and a reconstruction algorithm for apparent gravitation is devised, which can reduce the influence of the random noises of the observation vectors. Simulations and turntable tests are carried out, and the results indicate that the proposed method can acquire sound alignment results with lower standard variances, and can obtain higher alignment accuracy and a faster convergence rate.

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Magnetic FeO nanoparticles were synthesized and used as peroxymonosulfate (PMS) activator in the presence of ultrasound (US) irritation for azo dye degradation in this study. At pH 7.0 and temperature 298K, FeO nanoparticles were able to activate PMS under ultrasound irritation to produce sulfate radicals for acid orange 7 (AO7) removal in 30min. Higher catalysts dosage, neutral pH as well as optimum values of PMS dosage and ultrasound power favored the AO7 degradation. FeO displayed excellent stability and reusability in the US/PMS system. Both of the sulfate radicals and hydroxyl radicals were produced in the reaction and sulfate radicals were the dominant according to the scavenging tests and electron paramagnetic resonance (ESR) tests. The mechanisms of ultrasound irritation enhanced PMS activation in the presence of FeO were proposed based on the results and literatures.