Nam, Kyong-Hee;Kim, Do Young;Shin, Hee Jae;Pack, In-Soon;Kim, Chang-Gi
농업과학연구
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제45권2호
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pp.154-168
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2018
Salinity is a major abiotic stress that adversely affects crop productivity and quality. In this study, the metabolic profile and nutritional composition of rice in response to NaCl were analyzed. The plants were exposed to stressed or unstressed conditions, and their metabolic changes were examined in the shoots, roots, and grains collected at different growth stages. The levels of nutrients and anti-nutrients, including proximates, amino acids, fatty acids, minerals, vitamins, and phytic acid, were also determined for the grains. Application of NaCl significantly decreased the shoot and root growth and induced metabolic alterations at the tillering stage. During the heading stage, only the root metabolites were influenced by NaCl, and no metabolic variations related to salinity were found in the shoot, roots, and grains at the ripening stage. Nutritional analysis of the grain samples revealed that the amounts of linolenic acid and tricosanoic acid were significantly reduced while those of copper, sodium, and phytic acid were enhanced in response to stress. However, except for sodium, those differences were not great. Our results suggest that although NaCl-salinity influences the phenotypic and metabolic profiles of rice shoots and roots at the tillering stage, this impact becomes negligible as tissue development proceeds. This is especially true for the grains. Compositional analysis of the grains indicated that salinity induces some changes in fatty acids, minerals, and anti-nutrients.
Kim, Jiyoung;Oh, Junsang;Yoon, Deok-Hyo;Sung, Gi-Ho
Mycobiology
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제47권3호
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pp.346-349
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2019
AMP-activated protein kinase sucrose non-fermenting 1 (Snf1) is a representative regulator of energy status that maintains cellular energy homeostasis. In addition, Snf1 is involved in the mediation of environmental stress such as salt stress. Snf1 regulates metabolic enzymes such as acetyl-CoA carboxylase, indicating a possible role for Snf1 in metabolic regulation. In this article, we performed nuclear magnetic resonance (NMR) spectroscopy to profile the metabolic changes induced by Snf1 under environmental stress. According to our NMR data, we suggest that Snf1 plays a role in regulating cellular concentrations of a variety of metabolites during environmental stress responses.
Seo, Dae-Yun;Lee, Sung-Ryul;Figueroa, Arturo;Kim, Hyoung-Kyu;Baek, Yeong-Ho;Kwak, Yi-Sub;Kim, Na-Ri;Choi, Tae-Hoon;Rhee, Byoung-Doo;Ko, Kyung-Soo;Park, Byung-Joo;Park, Song-Young;Han, Jin
The Korean Journal of Physiology and Pharmacology
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제16권3호
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pp.175-180
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2012
Yoga has been known to have stimulatory or inhibitory effects on the metabolic parameters and to be uncomplicated therapy for obesity. The purpose of the present study was to test the effect of an 8-week of yoga-asana training on body composition, lipid profile, and insulin resistance (IR) in obese adolescent boys. Twenty volunteers with body mass index (BMI) greater than the 95th percentile were randomly assigned to yoga (age $14.7{\pm}0.5$ years, n=10) and control groups (age $14.6{\pm}1.0$ years, n=10). The yoga group performed exercises three times per week at 40~60% of heart-rate reserve (HRR) for 8 weeks. IR was determined with the homeostasis model assessment of insulin resistance (HOMA-IR). After yoga training, body weight, BMI, fat mass (FM), and body fat % (BF %) were significantly decreased, and fat-free mass and basal metabolic rate were significantly increased than baseline values. FM and BF % were significantly improved in the yoga group compared with the control group (p<0.05). Total cholesterol (TC) was significantly decreased in the yoga group (p<0.01). HDL-cholesterol was decreased in both groups (p<0.05). No significant changes were observed between or within groups for triglycerides, LDL-cholesterol, glucose, insulin, and HOMA-IR. Our findings show that an 8-week of yoga training improves body composition and TC levels in obese adolescent boys, suggesting that yoga training may be effective in controlling some metabolic syndrome factors in obese adolescent boys.
The systems-level analysis of microbes with myriad of heterologous data generated by omics technologies has been applied to improve our understanding of cellular function and physiology and consequently to enhance production of various bioproducts. At the heart of this revolution resides in silico genome-scale metabolic model, In order to fully exploit the power of genome-scale model, a systematic approach employing user-friendly software is required. Metabolic flux analysis of genome-scale metabolic network is becoming widely employed to quantify the flux distribution and validate model-driven hypotheses. Here we describe the development of an upgraded MetaFluxNet which allows (1) construction of metabolic models connected to metabolic databases, (2) calculation of fluxes by metabolic flux analysis, (3) comparative flux analysis with flux-profile visualization, (4) the use of metabolic flux analysis markup language to enable models to be exchanged efficiently, and (5) the exporting of data from constraints-based flux analysis into various formats. MetaFluxNet also allows cellular physiology to be predicted and strategies for strain improvement to be developed from genome-based information on flux distributions. This integrated software environment promises to enhance our understanding on metabolic network at a whole organism level and to establish novel strategies for improving the properties of organisms for various biotechnological applications.
McGrowder, Donovan A.;Jackson, Lennox Anderson;Crawford, Tazhmoye V.
Asian Pacific Journal of Cancer Prevention
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제13권1호
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pp.1-13
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2012
Metabolic syndrome has become quite prevalent within our society. Over the past two decades, the prevalence of metabolic syndrome has sharply increased worldwide and it has become a major public health problem in several countries. It is associated with the global epidemic of obesity and diabetes mellitus and imposes numerous cardiovascular risks. Prostate cancer is the second most common cancer among men, surpassed only by non-melanoma skin cancer. A considerable body of evidence exists suggesting that some components of the metabolic syndrome have been associated with the risk of prostate cancer. These components include obesity, an abdominal fat distribution, and hyperinsulinemia. Androgen deprivation therapy (ADT) is the most widely used therapeutic modality in prostate cancer. It changed the body composition and lipid profile of men with prostate cancer. Androgen deficiency is associated with increased levels of total cholesterol, low-density lipoprotein (LDL)-cholesterol, increased production of proinflammatory factors, and increased thickness of the arterial wall and contributes to endothelial dysfunction. The aim of this review is to evaluate the association between metabolic syndrome and prostate cancer and to discuss the implications of androgen deficiency in men with cardiovascular risk factors. A comprehensive literature search was carried out with the use of PubMed from 1980 through 2011, and relevant articles pertinent to metabolic syndrome and prostate cancer are evaluated and discussed.
Purpose: This study examined the validity and reliability to develop a lifestyle evaluation tool for metabolic syndrome patients. Methods: A methodological research design was used. The construct factors and preliminary items were identified by reviewing previous researches and tools related to lifestyle and reviewed by ten experts. It was tested with 195 patients with metabolic syndrome in a university hospital. The data were analyzed with SPSS/WIN 14.0. Results: To test the validity, principal component analyses were used and resulted in the extraction of six components. The convergent validity resulted r= .72 (p<.001) with Health Promotion Lifestyle Profile. The discriminant validity with Center for Epidemiologic Studies Depression Scale resulted r= -.15 (p=.004). The Internal consistency of the tool had an Cronbach's a of .92. The self-report format Lifestyle Evaluation Tool for the patients with metabolic syndrome was developed with 36 items and four-rating scales:'physical activity and weight control' eight items, 'dietary habits' sixteen items, 'drinking and smoking' three items, 'sleep and rest' two items, 'stress' three items, 'drug and health management' four items. Conclusion: This Tool will evaluate health behaviors in patients with metabolic syndrome. Also, it will contribute to the development of nursing intervention to improve the metabolic syndrome patients' lifestyle.
The objective of this study was to assess the metabolic profiles and diet quality in college women by their mother's diabetes mellitus status. The study subjects, all college women, were classified into two groups based on the their mother's diabetes mellitus status: the offspring group (OG) and the control group (CG). The OG exhibited significantly higher body mass indices (p < 0.01), percentages of ideal body weight (p < 0.05) and high density lipoprotein cholesterol (p < 0.05) values than the CG. Additionally, the OG showed significantly higher daily average intakes of total energy (p < 0.05). fat (p < 0.001), riboflavin (p < 0.01) and calcium (0.01) than the CG. The indices of nutritional quality of protein (p < 0.05) and Na (p < 0.05) in the CG were significantly higher than those of the OG. However. we noted no significant differences in the mean adequacy ratio between the CG and OG. Overall, our results demonstrated that this factor appears to potentially be related to the subjects' mother's diabetes status. However, CG and OG were significantly different within normal range. Furthermore, nutrient adequacy indices in the CG were not assessed well in regard to energy, riboflavin, vitamin C, and calcium. Therefore, it appears that ideal body weight and diet quality should be controlled in order to prevent diabetes and diet-related problems, both in the CG and the OG.
Objectives: Metabolic disease is strongly associated with future insulin resistance, and its prevalence is increasing worldwide. Thus, identifying early biomarkers of metabolic-related disease based on serum profiling is useful to control future metabolic disease. Our study aimed to assess the association of serum branched chain amino acids (BCAAs) and aromatic amino acids (AAAs) ratio and metabolic disease according to body mass index (BMI) status among Korean adults. Methods: This cross-sectional study included 78 adults aged 20-59 years in Korea. We compared serum amino acid (AA) levels between adults with normal-weight and adults with obesity and investigated biomarkers of metabolic disease. We examined serum AA levels, blood profile, and body composition. We also evaluated the association between serum AAs and metabolic-related disease. Results: The height, weight, BMI, waist circumference, hip circumference, waist-hip-ratio, body fat mass, body fat percent, skeletal muscle mass, systolic blood pressure, and diastolic blood pressure were higher in the group with obesity compared to normal weight group. The group with obesity showed significantly higher levels of BCAA, AAA, and BCAA and AAA ratio. Further, BCAA and AAA ratio were significantly positively correlated with triglyceride, body weight, and skeletal muscle mass. The evaluation of metabolic disease risks revealed an association between the ratios of BCAAs and AAAs, hypertension, and metabolic syndrome. Conclusions: Our study is showed the associations between BCAA and AAA ratio, obesity, and obesity-related diseases using various analytical approaches. The elevated BCAA and AAA ratio could be early biomarkers for predicting future metabolic diseases in Korean population.
This study examined metabolic profiles of 1349 Holstein cows from 91 commercial herds. Thirteen parameters which are consisted of twelve blood components and body condition score were examined and their mean values. standard deviations and standard limits, which are 80% confidential limits, in each lactational stage were reported. The variations of each parameter affected by season, individual milk yield, adjusted corrected milk yield of herd. and lactation number were also reported. A model of metabolic profile test applicable to this country where the average number of cows in a herd is small as to be fifteen is designed. Metabolic profiles as reflected in each parameter were discussed in relation to adequacy of dietary intake for production, milk production, reproductive performance, and diseases, and the possible measure to improve productivity of dairy cows were proposed. Much of the variation in parameters was due to differences between herds, and less to differences between seasons, differences between individual milk yield, and differences between lactational stages. As the average herd size in this country is small, it is believed that all the cows in a herd must be sampled, and the individual result of each parameter was compared with the standard limit for each lactational stage, and the percentage of cows which are outside the standard limits in a herd was calculated to use as a criteria for evaluation of the herd. Data outside the 99% confidential limits were to be deleted at first, but when the trends of the data outside the 99% confidential limits are same as the trends of the data within 99% confidential limits, the deleted data must be reviewed again, otherwise some important informations would be missed. The mean concentration of blood urea nitrogen in this study was much higher than that was reported in England, U.S.A. and Japan, and it was similar to the upper limits reported in England, U.S.A. and Japan. So it was thought that the concentration of blood urea nitrogen is improper as a criteria for protein intake. The increase of serum total protein cocentration beyond standard limits was due to increase of serum globulin concentration in most of the cows. The correlation coefficient between serum and protein and serum globulin concentration was 0.83. Serum globulin concentration was negatively related to adjusted corrected milk of herd. Serum albumin, calcium and magnessium concentrations were negatively related to adjusted corrected milk of herd, which indicate that high-producing individual or high-producing herd have not taken sufficient protein/amino acids, calcium and magnessium. Packed cell volume was negatively related to adjusted corrected milk of the herd, and the trend was same In each lactational stage. The correlation coefficient between serum and packed cell volume was 0.16 and the correlation was very weak. Blood glucose concentration was lowest in early lactational stage, which indicates negative energy balance in early lactational stage. Blood glucose concentration was negatively related to adjusted corrected milk of herd from peak to late lactational stage, which indicates negative energy balance during the period in high-producing individuals or high-producing herds. Correlation coefficient between serum aspartate aminotransferase activity and serum ${\gamma}$-glutamyltransferase activity was 0.41, and this indicates that serum ${\gamma}$-glutamyltransferase should be included as a parameter of metabolic profile test to evaluate liver function. Body condition score of dairy cows in this country was lower than that of Japan in every lactational stages, and the magnitude of increase in body condition score during middle and late lactational stages was small. Metabolic profile can not be evaluated with solely nutritional intake. When an individual or large percentage of cows in a herd have adnormal values In parameters of metabolic profile test, veterinary clinician and nutritionist should cooperate so as to diagnose diseases and to calculate the e of no운ents simultaneously.
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