Metabolome and Transcriptome Association Analysis Reveals Mechanism of Synthesis of Nutrient Composition in Quinoa (Chenopodium quinoa Willd.) Seeds.

Quinoa (Chenopodium quinoa Willd.) seeds are rich in nutrition, superior to other grains, and have a high market value. However, the biosynthesis mechanisms of protein, starch, and lipid in quinoa grain are still unclear. The objective of this study was to ascertain the nutritional constituents of white, yellow, red, and black quinoa seeds and to employ a multi-omics approach to analyze the synthesis mechanisms of these nutrients. The findings are intended to furnish a theoretical foundation and technical support for the biological breeding of quinoa in China. In this study, the nutritional analysis of white, yellow, red, and black quinoa seeds from the same area showed that the nutritional contents of the quinoa seeds were significantly different, and the protein content increased with the deepening of color. The protein content of black quinoa was the highest (16.1 g/100 g) and the lipid content was the lowest (2.7 g/100 g), among which, linoleic acid was the main fatty acid. A combined transcriptome and metabolome analysis exhibited that differentially expressed genes were enriched in "linoleic acid metabolism", "unsaturated fatty acid biosynthesis", and "amino acid biosynthesis". We mainly identified seven genes involved in starch synthesis (LOC110716805, LOC110722789, LOC110738785, LOC110720405, LOC110730081, LOC110692055, and LOC110732328); five genes involved in lipid synthesis (LOC110701563, LOC110699636, LOC110709273, LOC110715590, and LOC110728838); and nine genes involved in protein synthesis (LOC110710842, LOC110720003, LOC110687170, LOC110716004, LOC110702086, LOC110724454 LOC110724577, LOC110704171, and LOC110686607). The data presented in this study based on nutrient, transcriptome, and metabolome analyses contribute to an enhanced understanding of the genetic regulation of seed quality traits in quinoa, and provide candidate genes for further genetic improvements to improve the nutritional value of quinoa seeds.

Metabonomics analysis of urine and plasma from rats given long-term and low-dose dimethoate by ultra-performance liquid chromatography-mass spectrometry.

This study assessed the effects of long-term, low-dose dimethoate administration to rats by ultra-performance liquid chromatography-mass spectrometry (UPLC-MS). Dimethoate (0.04, 0.12, and 0.36 mg/kg body weight/day) was administered daily to male Wistar rats through their drinking water for 24 weeks. Significant changes in serum clinical chemistry were observed in the middle- and high-dose groups. UPLC-MS revealed evident separate clustering among the different dose groups using global metabolic profiling by supervised partial least squares-discriminant analysis. Metabonomic analysis showed alterations in a number of metabolites (12 from urine and 13 from plasma), such as L-tyrosine, dimethylthiophosphate (DMTP), dimethyldithiophosphate (DMDTP), citric acid, uric acid, suberic acid, glycylproline, allantoin, isovalerylglutamic acid and kinds of lipids. The results suggest that long-term, low-dose exposure to dimethoate can cause disturbances in liver function, antioxidant and nervous systems, as well as the metabolisms of lipids, glucose, fatty acids, amino acids, and collagen in rats. DMTP and DMDTP, which had the most significant changes among all other studied biomarkers, were considered as early, sensitive biomarkers of exposure to dimethoate. The other aforementioned proposed toxicity biomarkers in metabonomic analysis may be useful in the risk assessment of the toxic effects of dimethoate. Metabonomics as a systems toxicology approach was able to provide comprehensive information on the dynamic process of dimethoate induced toxicity. In addition, the results indicate that metabonomic approach could detect systemic toxic effects at an earlier stage compared to clinical chemistry. The combination of metabonomics and clinical chemistry made the toxicity of dimethoate on rats more comprehensive.

Metabolomic analysis of the toxic effect of chronic low-dose exposure to acephate on rats using ultra-performance liquid chromatography/mass spectrometry.

To study the toxic effect of chronic exposure to acephate at low-dose levels, a metabolomics approach based on ultra-performance liquid chromatography/mass spectrometry (UPLC-MS) was applied. Three different doses of 0.5 mg/kg/day, 1.5 mg/kg/day, and 4.5 mg/kg/day acephate were administered to Wistar rats for 24 weeks. Endogenous metabolite profiles were obtained with UPLC-MS for all rats at six time points after treatment. Some metabolites like dimethylthiophosphate and uric acid in urine were detected at week 4. Dimethylthiophosphate, which had the most significant elevations compared with other biomarkers, was considered as an early, sensitive biomarker of exposure to acephate. Moreover, there were some endogenous metabolite changes, which demonstrated that the doses of 1.5 mg/kg/day and 4.5 mg/kg/day of acephate led to renal injury and perturbed the normal metabolic processes of rats, including glucose, nucleic acid, and protein metabolism. A connection between exposure to acephate and the metabolic disturbance has been found and interpreted. Our study indicates that the metabolomics approach based on UPLC-MS of urine provides more information on toxicity than the conventional toxicological evaluation methods in measuring changes and can be considered as a promising technique for the study of the toxic effect of acephate.

Effects of long-term exposure to low levels of organophosphorous pesticides and their mixture on altered antioxidative defense mechanisms and lipid peroxidation in rat liver.

Organophosphorous pesticides, commonly used in agriculture for achieving better quality products, are toxic substances that have harmful effects on human health. Recent research on pesticides, especially pesticide mixtures, has shown that they are one of the key environmental health issues. The aim of the present study was to investigate whether dichlorvos, acephate, dimethoate and phorate, either used separately or in combination, can induce oxidative damage in rat livers. The levels of superoxide dismutase, glutathione peroxidase, catalase and lipid peroxidation products (malondialdehyde) were used as criteria. Low, middle and high doses of pesticides in drinking water were continuously administered orally to rats ad libitum for 24 weeks. Results show that the antioxidative defense mechanisms and lipid peroxidation in the rat livers display different responses, depending on the pesticide treatments and doses. The parameters for acephate, dichlorvos, phorate and dimethoate in the low-dose group, and the corresponding low-dose co-treated group were not altered. The oxidative damage in rat livers showed different responses with increasing pesticide dose according to the different pesticide treatments. The combination group of dichlorvos, acephate, dimethoate and phorate displayed different responses compared with the single pesticide-treated group. However, these responses did not constitute the sum of the response produced by each pesticide in the liver.

Metabolomic analysis of the toxic effects of chronic exposure to low-level dichlorvos on rats using ultra-performance liquid chromatography-mass spectrometry.

The purpose of the current study was to assess the effects of long-term exposure to low levels of DDVP on the biochemical parameters and metabolic profiles of rats. Three different doses (2.4, 7.2, and 21.6 mg/kg body weight/day) of DDVP were administered to rats through their drinking water over 24 weeks. Significant changes in blood cholinesterase, creatinine, urea nitrogen, aspartate aminotransferase, alanine aminotransferase, and albumin concentrations were observed in the middle and high dose groups. Changes in the concentration of some urine metabolites were detected via ultra performance liquid chromatography-mass spectrometry (UPLC-MS). Dimethyl phosphate (DMP), which was exclusively detected in the treated groups, can be an early, sensitive biomarker for DDVP exposure. Moreover, DDVP treatment resulted in an increase in the lactobionic acid, estrone sulfate, and indoxyl sulfic concentrations, and a decrease in citric acid, suberic acid, gulonic acid, urea, creatinine, and uric acid. These results suggest that chronic exposure to low-level DDVP can cause a disturbance in carbohydrate and fatty acid metabolism, the antioxidant system, etc. Therefore, an analysis of the metabolic profiles can contribute to the understanding of the adverse effects of long-term exposure to low doses of DDVP.

Reproducibility and relative validity of a food frequency questionnaire to assess intake of dietary flavonol and flavone in Chinese university campus population.

Epidemiologic studies have shown that populations that consume more fruits and vegetables have lower incidences of some diseases. These health effects have largely been attributed to flavonoid intake and bioavailability. However, no published data on the estimated flavonol and flavone intake of Chinese adults are currently available. Considering reports that food frequency questionnaires (FFQs) have been shown to provide good measurements of energy, macronutrient, and micronutrient intakes, we hypothesized that FFQ may be used to estimate intake of dietary flavonol and flavone. The two 7-day 24-hour dietary recalls (24-HDRs) and plasma levels were used as reference criteria. A total of 128 subjects each completed two 7-day 24-HDR and 2 FFQs, and 92 subjects donated 2 plasma samples. Pearson correlation coefficients and the agreement of quartile categorization between the FFQ and each reference instrument were conducted. Pearson correlation coefficients between 2 FFQs were 0.62 for flavonol and 0.65 for flavone and ranged from 0.48 (quercetin) to 0.63 (luteolin) (all P < .05). Pearson correlation coefficients between FFQ and 24-HDR were 0.62 for flavonol and 0.68 for flavone and ranged from 0.36 (quercetin) to 0.63 (luteolin) (all P < .05). Between the FFQ and plasma samples, Pearson correlation coefficients were 0.52 for flavonol and 0.41 for flavone and ranged from 0.32 (quercetin) to 0.44 (kaempferol) (all P < .05). The complete and partial agreement by quartiles ranged from 70% to 89%. The findings indicate that administering FFQ is a reliable and accurate method of assessing dietary intake of flavonol and flavone.