Brown rice:a missing nutrient-rich health food

Brown rice(BR)is a traditional health food being rich in various active substances, which have effective preventive and therapeutic effects on many diseases. In this review, we systemically summarized the efficacy of BR on cardiovascular diseases(CVDs), hyperlipidemia, hypertension, diabetes, obesity, osteoporosis, neurodegenerative diseases, cancer, immune disorders, inflammation, anxiety, liver and stomach damage, etc. Underlying mechanisms have also been analyzed, which include regulating lipid synthesis and metabolism, improving insulin levels and increasing glucose metabolism, anti-oxidation, promoting the immune system, transcription and non-transcriptional regulation, blocking cell cycle, thereby improving disease symptoms and reducing its recurrence rate. Generally, BR has been almost disappeared in modern society, but it is promising to exploit the potential to become a functional food. Further research on the nutritional value, variety differences, storage problems, taste and molecular mechanism of BR will be conducive to help meticulously design clinical intervention trials and ultimately improve the treatment and prevention of various diseases.

Germinated brown rice relieves hyperlipidemia by alleviating gut microbiota dysbiosis

Hyperlipidemia is a frequent metabolic disorder that is closely associated with diet. It is believed that brown rice, containing the outer bran layer and germ, is beneficial for the remission of hyperlipidemia. This study established a rat model of hyperlipidemia by feeding a high-fat diet. The hypolipidemic potential of germinated brown rice(Gbrown) and germinated black rice(a germinated black-pigmented brown rice, Gblack) were explored in the model rats, mainly in the aspects of blood lipids, lipases, apolipoproteins, and inflammation. The gut microbiota in hyperlipidemic rats receiving diverse dietary interventions was determined by 16S rDNA sequencing. The results showed that the intervention of Gbrown/Gblack alleviated the hyperlipidemia in rats, evidenced by decreased TC, TG, LDL-C, and apolipoprotein B, and increased HDL-C, HL, LPL, LCAT, and apolipoprotein A1. Gbrown/Gblack also weakened the inflammation in hyperlipidemia rats, evidenced by decreased TNF-α, IL-6, and ET-1. In addition, 16S rDNA sequencing revealed that the diet of Gbrown/Gblack elevated the abundance and diversity of gut microbiota in hyperlipidemia rats. At the phylum level, Gbrown/Gblack decreased Firmicutes, increased Bacteroidetes, and decreased the F/B ratio in hyperlipidemia rats. At the genus level, Gbrown/Gblack decreased Streptococcus and increased Ruminococcus and Allobaculum in hyperlipidemia rats. Some differential microbial genera relating to lipid metabolism were also determined, such as the Lachnospira and Ruminococcus in the Gblack group, and the Phascolarctobacterium, Dorea, Turicibacter, and Escherichia-Shigella in the Gbrown group. Notably, the beneficial effect of Gblack was stronger than Gbrown. To sum up, the dietary interventions of Gbrown/Gblack contributed to the remission of hyperlipidemia by alleviating the dysbiosis of gut microbiota.

Study on the Optimum Moisture Amount Added to Brown Rice once during the Wet Conditioning

In the experiment, the brown rice whose moisture content was 12.5% was used as raw material. The brown rice was grouped, then moisturized differently and milled. While milling, the energy consumption, the rate of broken rice and the crack rate were tested. It is confirmed that the stress crack owing to the moisture added to the brown rice can be avoided when the moisture amount added once is limited to no more than 1.5%. It is also proved that the energy consumption can be reduced, the yielding rate of rice can be increased and that the quality of rice can be improved.

Effects of soaking process on arsenic and other mineral elements in brown rice

One of the main food crops in the world,rice can accumulate high levels of arsenic from flooded paddy soils,which seriously threatens human health.Soaking,a common processing method for brown rice products,especially for brown rice noodles,was investigated in this study.Japonica rice(Dao Hua Xiang No.2)and Indica rice(Ye Xiang You No.3)were selected for studying the effects of soaking on arsenic concentrations,species,and distributions.Results revealed that soaking can efficiently remove arsenic in these two rice varieties,and the main part of removal is endosperm with the maximal rate of about 40%.Inorganic arsenic(I-As)(about 85%)is the main species of arsenic reduction.Meanwhile,the variations of four other elements(i.e.,Mg,Ca,Zn,and Fe)were analyzed.Collectively,the findings of this study indicate that soaking can efficiently remove arsenic in brown rice under controlled soaking conditions,which thereby reduces the arsenic intake for brown rice customers.

Study on the Relationship between.the Moisture Content of Brown Rice and Milling Characteristics

An experiment about rice milling was made to study on the relationship between the different moisture content of brown rice and the energy consumption, the broken rice rate, the crack rate and the head rice yield. It could be concluded that the head rice yield increased at first falls and then along with the raise of moisture content and it could reach the maximum 70.78% when moisture content was 15.5%; the energy consumption of rice milling decreased along with the increase of moisture contents; the broken rice rate fell at first and then increased along with the raise of moisture contents and it could reach the minimum 4.28% when the moisture content was 15.5%.

Study on evaluation of gamma oryzanol of germinated brown rice by near infrared spectroscopy

Germinated brown rice(GBR)is rich in gamma oryzanol which increase its consumption popularity,particularly in the health food market.The objective of this research was to apply the near infraredspectroscopy(NIRS)for evaluation of gamma oryzanol of the germinated brown rice.The germinated brown rice samples were prepared from germinated rough rice(soaked for 24 and 48 h,incubated for 0,6,12,18,24,30 and 36 h)and purchased from local supermar kets.The germinated brown rice sampleswere subjected to NIR scanning before the evaluation of gamma oryzanol by using partial extractionmet hodology.The prediction model was established by partial least square regression(PLSR)andvalidated by full cross validation method.The NIRS model established from various varieties of germinated brown rice bought from diferent markets by first derivatives+vector normalizationpretreated spectra showed the optimal prediction with the correlation of determination(R?),root mean squared error of cross validation(RMSECV),and bias of 0.934,8.84×10^(-5) mg/100 g drymatter and 1.06×10^(-5) mg/100 g dry matter,respectively.This is the first report on the application of NIRS in the evaluation of gamma oryzanol of the germinated brown rice.This information is veryuseful to the germinated brown rice production factory and consumers.

Performance of Fatty Liver Development in Response to Brown Rice and Corn-Based Diets in Overfed Landes Geese(Anser anser)

The effect of brown rice and corn-based diets on fatty liver weight, carcass traits, lipids accumulation and liver composition of Landes geese (Anser anser) after feeding the same amount of each diet was investigated. After 2 weeks overfeeding, besides body weight and body weight gain increased significantly, the fatty liver weights were increased dramatically from 94.67 to 554.67 and 754.00 g in corn treatment and rice treatment, respectively, and the accumulation lipids in adipose tissues reached up to or close to 2 folds of initial weight in both treatments. Liver weight was greater in brown rice group than in corn group (P<0.05). Compared to before overfeeding, triacylglycerols (TG) in geese fatty liver increased dramatically and predominated (from 9.08% to close to or more than 90% of hepatic lipids), whereas phospholipids (PL) and cholesteryl esters (CE) decreased sharply in both treatments (P<0.05). However, the percentages of lipids, TG and PL in fatty liver were higher in brown rice treatment than in corn treatment, and that of CE was lower (P<0.05). It indicates that overfeeding chiefly results in lipids accumulation in goose fatty liver and adipose tissues. Brown rice-based diet induces greater fatty liver, and brown rice is one of high quality overfeeding ingredients instead of corn.

Developmental Analysis of Genetic Behavior of Brown Rice Width in indica-japonica Hybrids

The developmental genetic behaviors of brown rice width （BRW） have been studied in indica-japonica hybrid rice （Oryza sativa L.）, in which seven indica male sterile lines and five japonica restorer lines were applied, by using the developmental genetic models and corresponding statistical approaches for quantitative traits of triploid in cereal crops. The BRW of indica-japonica hybrid rice was co-determined by gene expression of tdploid endosperm, cytoplasm, diploid maternal plant and their genotype × environmental interaction effects. Unconditional analysis showed that the endosperm additive and matemal additive effects were predominant for the development of BRW from early- to late-stage of the grain development, but the endosperm dominant effect together with matemal effect and cytoplasmic effect became the major factor determing the BRW at the ripening stage. Moreover, conditional analysis found that there were new onset and offset of gene expression at different developmental stages of BRW in indica-japonica hybrid rice. Maternal and cytoplasm general heritabilities and their interaction heritabilities were more important compared to other components of heritability for BRW at all the five developmental stages.

The metabolomics variations among rice, brown rice, wet germinated brown rice, and processed wet germinated brown rice

Germination and processing are always accompanied by significant changes in the metabolic compositions of rice. In this study, polished rice(rice), brown rice, wet germinated brown rice(WGBR), high temperature and pressure-treated WGBR(WGBR-HTP), and low temperature-treated WGBR(WGBR-T18) were enrolled. An untargeted metabolomics assay isolated 6 122 positive ions and 4 224 negative ions(multiple difference ≥1.2 or ≤0.8333, P<0.05, and VIP≥1) by liquid chromatography-mass spectrum. These identified ions were mainly classified into three categories, including the compounds with biological roles, lipids, and phytochemical compounds. In addition to WGBR-T18 vs. WGBR, massive differential positive and negative ions were revealed between rice of different forms. Flavonoids, fatty acids, carboxylic acids, and organoxygen compounds were the dominant differential metabolites. Based on the Kyoto Encyclopedia of Genes and Genomes(KEGG) database, there 7 metabolic pathways(phenylalanine/tyrosine/tryptophan biosynthesis, histidine metabolism, betalain biosynthesis, C5-branched dibasic acid metabolism, purine metabolism, zeatin biosynthesis, and carbon metabolism) were determined between brown rice and rice. Germination changed the metabolic pathways of porphyrin and chlorophyll, pyrimidine, and purine metabolisms in brown rice. In addition, phosphonate and phosphinate metabolism, and arachidonic acid metabolism were differential metabolic pathways between WGBR-HTP and WGBR-T18. To sum up, there were obvious variations in metabolic compositions of rice, brown rice, WGBR, and WGBR-HTP. The changes of specific metabolites, such as flavonoids contributed to the antioxidant, anti-inflammatory, anti-cancer, and immunomodulatory effects of GBR. HTP may further improve the nutrition and storage of GBR through influencing specific metabolites, such as flavonoids and fatty acids.

Study on the Effect of Moisture Conditioned for Brown Rice on Milling Characteristic

The effect of moisture conditioned for brown rice （moisture content of 1.45%） on milling characteristic was studied in this paper. Milling experiments were conducted for the brown rice, which were conditioned under different amount of humidification and duration. Software SAS was used to analyze the effect of amount of humidification and duration on the head rice yield and energy consumption of milled brown rice. The reasonable parameters including amount of humidification of 1.45% and duration of 60-90 rain were obtained, which decreased energy consumption by 30% and increased head rice yield by 10%. Therefore, the method of moisture conditioned can improve milling quality of stored paddy due to the hardness and crisp of paddy reduced.

Identification of an anticancer compound against HT-29 cells from Phellinus linteus grown on germinated brown rice

Objective:To isolate and identify the anticancer compound against proliferation of human colon cancer cells from ethyl acetate(EtOAc)extract ol Phellinus linteus grown on germinated brown rice(PB).Methods:EtOAc extract of PB was partitioned with n-hexane,EtOAc,and water-saturated n-butanol.Anticancer compound of n-hexane layer was isolated and identified by HPLC and NMR,respectively.Cytotoxicity against HT-29 cells was tested by SRB assay.Results:The n-hexane layer obtained after solvent fractionation of PB EtOAc extracts showed a potent anticancer activity against the HT-29 cell line.Atractylenolide I,a eudesmane-type sesquiterpene lactone,a major anticancer substance of PB,was isolated from the n-hexane layer by silica gel column chromatography and preparative-HPLC.This structure was elucidated by one-and two-dimensional NMR spectroscopic data.Atractylenolide I has not been reported in mushrooms or rice as of yet.The isolated compound dose-dependently inhibited the growth of HT-29 human colon cancer cells.Conclusions:Atractylenolide I might contribute to the anticancer effect of PB.

Discrete element simulation of the grain mixing law in brown rice germination device

The discrete element method(DEM)was used in this study to numerically simulate the mixing process and motion law of particles in brown rice germination device.And the reliability of simulation experiments was verified through physical experiments.In the discrete element simulation experiment,there were three mixing stages in the mixing process of the particles.The particle motion conditions at different rotational speeds were rolling,cascading,cataracting and centrifuging.The lower the filling degree,the higher the particle mixing efficiency.The radial trajectory of the particles was approximated as an elliptical helix that continuously shrank towards the axis.The research results indicated that under the same speed and filling conditions,the motion of brown rice particles in both the simulated and physical test environments is rolling and the drop height is the same.

Antioxidative and Neuroprotective Activities of the Pre-Germinated Brown Rice Extract

We evaluated the effects of pre-germinated brown rice extract (PGBR ex) with enhanced levels of GABA on proliferation and apoptosis of neuronal SK-N-SH cells line. Firstly, we used HPLC methods to study the level of γ-aminobutyric acid (GABA) in all rice extracts. We found that the concentration of GABA in the PGBR ex were 3 and 8 times higher than the GABA concentration in non-germinated brown rice (BR ex) and white rice (WR ex) compared with the stan- dard GABA respectively. Next we study the protective effects of brown rice extract by investigating various methods, we found that the effects of dose-dependent study by treated with PGBR ex, BR ex and WR ex at (0 - 4000 μg/ml). The data from MTT assay showed that the higher concentration of all rice extracts were not induced toxicity to SK-N-SH cells. To test the protective effect by study the viability of SK-N-SH cells. These results showed that PGBR ex and BR ex can protect cells by significantly increase cells survival up to 29.3% ± 0.01% and13.4% ± 0.07 % (p 56.9% ± 0.02 % (p < 0.05), compared with un- treated cells (control). Next study we test the effect of cells apoptotic by ROS assay and DNA fragmentation. The results showed that PGBR ex were definitely decrease the amount of ROS formation and had a little of DNA ladders comparable with condition that induced by 150 ?M H2O2. Our data indicating that PGBR ex with enhanced levels of GABA effectively inhibit SK-N-SH cells proliferation and apoptosis. These present results suggest that intake of PGBR and BR instead of WR is effective to protect cell proliferation and apoptosis which may be useful nutritional to prevent neuronal cells from neurodegenerative disease.

Elemental Content in Brown Rice by Inductively Coupled Plasma Atomic Emission Spectroscopy Reveals the Evolution of Asian Cultivated Rice

The phylogenetic relationship for classification traits and eight mineral elements in brown rice （Oryza sativa L.） from Yunnan Province in China was carried out using microwave assisted digestion followed by inductively coupled plasma atomic emission spectroscopy, and the analytical procedures were carefully controlled and validated. In general, the results show that the mean levels of K, Ca, Mg, Fe and Cu in brown rice for 789 accessions of rice landraces was distinctly lower than that of improved cultivars. They further demonstrate that Ca plays an important role in the differentiation of subspecies indica-japonica, especially to enhance adaptation of cold stress, and that five mineral elements in brown rice enhance the eurytopicity from landrace to improved cultivar. Hierarchical cluster analysis, using average linkage from SPSS software based on eight mineral elements in brown rice, showed that Yunnan rice could be grouped into rice landrace and improved cultivar, with the rice landrace being further clustered into five subgroups, and that, interestingly, purple rice does not cluster with either of the groups. Our present data confirm that indica is the closest relative of late rice and white rice, and that they constitute rice landraces together, whereas japonica is the closest relatives of non-nuda, early-mid and glutinous rice. It is further shown that japonica, non-nuda, early-mid, glutinous, white and red rice might be more primitive than indica, nuda, late, non-glutinous and purple rice, respectively.

Effects of germination and aeration treatment following segmented moisture conditioning on theγ-aminobutyric acid accumulation in germinated brown rice

Brown rice was treated by segmented moisture conditioning to reach the suitable water content and aerated with air for germination.The effects of germination and aeration treatment on theγ-aminobutyric acid(GABA)content in germinated brown rice were studied.The results showed that the germination rate,glutamic acid,glutamate decarboxylase activity and GABA content in germinated brown rice increased significantly and then decreased with the increase of germination and aeration treatment parameters.Correlation analysis also revealed that there was a significant positive correlation between GABA accumulation and glutamic acid content,glutamate decarboxylase activity.These results suggested that the aeration treatment during germination following segmented moisture conditioning could contribute to a high GABA content of germinated brown rice.

Nondestructive determination of GABA in germinated brown rice with near infrared spectroscopy based on wavelet transform denoising

The objective of this study was to analyze the content ofγ-aminobutyric acid(GABA)in germinated brown rice(GBR)by using near-infrared spectroscopy(NIRS)and the pretreatment method of wavelet de-noising(WD).The prediction accuracy of the NIRS model established by the Daubechies5 wavelet basis function at 3 level denoising treatment is the highest,the correlation coefficient for calibration(rc)is 0.931,the root mean square error of calibration(RMSEC)is 0.4038 mg/100 g,the Bias of calibration is 0.006,the correlation coefficient for prediction(rp)is 0.916,the root mean square error of prediction(RMSEP)is 0.4329 mg/100 g,the Bias of prediction is 0.010,and the ratio of performance to deviation(RPD)is 4.911.Results showed that the predicted and actual values had high correlation.Therefore,these results indicate that the NIRS model treated by WD is feasible to detect GABA content in GBR rapidly and nondestructively.

Expression Analysis of Genes Related to Rice Resistance Against Brown Planthopper, Nilaparvata lugens

Brown planthopper(BPH) is an insect species that feeds on the vascular system of rice plants. To examine the defence mechanism of rice plants against BPH, the pathogenesis-related genes(PR1a, PR2, PR3, PR4, PR6, PR9, PR10a, PR13, PR15 and PRpha), signaling molecule synthesis genes(AOS, AXR, ACO and LOX), antioxidant-related genes(CAT, TRX, GST and SOD) and lignin biosynthesis-related genes(CHS, CHI and C4H) were investigated in a resistant rice variety. AOS, PR6,PR9 and PR15 genes showed significantly increased relative expression levels at 24.38-, 19.17-, 14.71-, and 12.74-fold compared to the control. Moderate increased relative expression levels of lignin biosynthesis-related gene(C4H), pathogenesis-related genes(PR4, PR10a and PRpha), and antioxidant-related gene(GST) were found, while CHI, LOX, SOD, TRX1 and AXR showed decreased relative expression levels. It was thus clearly shown that wound-induced response genes were activated in rice plants after BPH attacks through AOS activation. Jasmonic acid signaling molecule may activate PR6, PR15, GST and CAT subsequently increasing their expression for H_2O_2 detoxification. PR6 were expressed at the highest relative level among the PR genes. These genes therefore have also a considerable synergistic role with the other genes against BPH by interfered their digestion tract system.

LncRNAs are potentially involved in the immune interaction between small brown planthopper and rice stripe virus

Small brown planthopper(SBPH, Laodelphax striatellus Fallén) is an important vector of major crop pathogen rice stripe virus(RSV). Controlling SBPH population is an efficient approach to control RSV. Long non-coding RNAs(lnc RNA) have been reported to block virus replication in hosts. However, the function of lnc RNAs in RSV infection and replication is still unknown. Here, we aimed to study regulatory mechanisms of lnc RNA in an immune system during RSV infection. First, lnc RNA genes were predicted from SBPH transcriptomes using a bioinformatics pipeline based on characteristics of lnc RNA. We identified 4 786 lnc RNA genes corresponding to 5 790 transcripts in SBPH from an RNA-Seq dataset of 15 transcriptomes. Differential expression analysis indicated that 3, 11, and 25 lnc RNA genes were highly expressed in gut, salivary gland, and ovary, respectively, of viruliferous SBPH(Student’s t-test, P<0.05). We randomly selected eight lnc RNAs for expression validation using quantitative real-time PCR, confirming the differential expression of these lnc RNAs between viruliferous and non-viruliferous SBPH. In summary, we present evidence that the expression of lnc RNA genes was induced by RSV infection, suggesting that RSV might be involved in the antivirus immune system in SBPH and participate in regulating the RSV replication mechanism. These data provide helpful information for future investigations of the interaction between lncRNA and RSV.

Characterizing and estimating rice brown spot disease severity using stepwise regression,principal component regression and partial least-square regression

Detecting plant health conditions plays a key role in farm pest management and crop protection. In this study, measurement of hyperspectral leaf reflectance in rice crop (Oryzasativa L.) was conducted on groups of healthy and infected leaves by the fungus Bipolaris oryzae (Helminthosporium oryzae Breda. de Hann) through the wavelength range from 350 to 2 500 nm. The percentage of leaf surface lesions was estimated and defined as the disease severity. Statistical methods like multiple stepwise regression, principal component analysis and partial least-square regression were utilized to calculate and estimate the disease severity of rice brown spot at the leaf level. Our results revealed that multiple stepwise linear regressions could efficiently estimate disease severity with three wavebands in seven steps. The root mean square errors (RMSEs) for training (n=210) and testing (n=53) dataset were 6.5% and 5.8%, respectively. Principal component analysis showed that the first principal component could explain approximately 80% of the variance of the original hyperspectral reflectance. The regression model with the first two principal components predicted a disease severity with RMSEs of 16.3% and 13.9% for the training and testing dataset, respec-tively. Partial least-square regression with seven extracted factors could most effectively predict disease severity compared with other statistical methods with RMSEs of 4.1% and 2.0% for the training and testing dataset, respectively. Our research demon-strates that it is feasible to estimate the disease severity of rice brown spot using hyperspectral reflectance data at the leaf level.