scholarly journals Charged metabolite biomarkers of food intake assessed via plasma metabolomics in a population-based observational study in Japan

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246456
Author(s):  
Eriko Shibutami ◽  
Ryota Ishii ◽  
Sei Harada ◽  
Ayako Kurihara ◽  
Kazuyo Kuwabara ◽  
...  
Keyword(s):  
Cohort Study ◽  
Food Intake ◽  
Community Dwelling ◽  
Partial Least Square ◽  
Least Square ◽  
Assessment Tools ◽  
Plasma Metabolites ◽  
Baseline Survey ◽  
Accurate Estimation ◽  
Potential Food

Food intake biomarkers can be critical tools that can be used to objectively assess dietary exposure for both epidemiological and clinical nutrition studies. While an accurate estimation of food intake is essential to unravel associations between the intake and specific health conditions, random and systematic errors affect self-reported assessments. This study aimed to clarify how habitual food intake influences the circulating plasma metabolome in a free-living Japanese regional population and to identify potential food intake biomarkers. To achieve this aim, we conducted a cross-sectional analysis as part of a large cohort study. From a baseline survey of the Tsuruoka Metabolome Cohort Study, 7,012 eligible male and female participants aged 40–69 years were chosen for this study. All data on patients’ health status and dietary intake were assessed via a food frequency questionnaire, and plasma samples were obtained during an annual physical examination. Ninety-four charged plasma metabolites were measured using capillary electrophoresis mass spectrometry, by a non-targeted approach. Statistical analysis was performed using partial-least-square regression. A total of 21 plasma metabolites were likely to be associated with long-term food intake of nine food groups. In particular, the influential compounds in each food group were hydroxyproline for meat, trimethylamine-N-oxide for fish, choline for eggs, galactarate for dairy, cystine and betaine for soy products, threonate and galactarate for carotenoid-rich vegetables, proline betaine for fruits, quinate and trigonelline for coffee, and pipecolate for alcohol, and these were considered as prominent food intake markers in Japanese eating habits. A set of circulating plasma metabolites was identified as potential food intake biomarkers in the Japanese community-dwelling population. These results will open the way for the application of new reliable dietary assessment tools not by self-reported measurements but through objective quantification of biofluids

scholarly journals Global metabolomic and lipidomic analysis reveals the potential mechanisms of hemolysis effect of Ophiopogonin D and Ophiopogonin D' in vivo

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Huan-Hua Xu ◽  
Zhen-Hong Jiang ◽  
Cong-Shu Huang ◽  
Yu-Ting Sun ◽  
Long-Long Xu ◽  
...  
Keyword(s):  
Chemical Properties ◽  
Principal Component ◽  
Partial Least Square ◽  
Least Square ◽  
Practical Significance ◽  
Plasma Metabolites ◽  
Active Components ◽  
The Difference

Abstract Background OPD and OPD' are the two main active components of Ophiopogon japonicas in Shenmai injection (SMI). Being isomers of each other, they are supposed to have similar pharmacological activities, but the actual situation is complicated. The difference of hemolytic behavior between OPD and OPD' in vivo and in vitro was discovered and reported by our group for the first time. In vitro, only OPD' showed hemolysis reaction, while in vivo, both OPD and OPD' caused hemolysis. In vitro, the primary cause of hemolysis has been confirmed to be related to the difference between physical and chemical properties of OPD and OPD'. In vivo, although there is a possible explanation for this phenomenon, the one is that OPD is bio-transformed into OPD' or its analogues in vivo, the other one is that both OPD and OPD' were metabolized into more activated forms for hemolysis. However, the mechanism of hemolysis in vivo is still unclear, especially the existing literature are still difficult to explain why OPD shows the inconsistent hemolysis behavior in vivo and in vitro. Therefore, the study of hemolysis of OPD and OPD' in vivo is of great practical significance in response to the increase of adverse events of SMI. Methods Aiming at the hemolysis in vivo, this manuscript adopted untargeted metabolomics and lipidomics technology to preliminarily explore the changes of plasma metabolites and lipids of OPD- and OPD'-treated rats. Metabolomics and lipidomics analyses were performed on ultra-high performance liquid chromatography (UPLC) system tandem with different mass spectrometers (MS) and different columns respectively. Multivariate statistical approaches such as principal component analysis (PCA) and orthogonal partial least square-discriminant analysis (OPLS-DA) were applied to screen the differential metabolites and lipids. Results Both OPD and OPD' groups experienced hemolysis, Changes in endogenous differential metabolites and differential lipids, enrichment of differential metabolic pathways, and correlation analysis of differential metabolites and lipids all indicated that the causes of hemolysis by OPD and OPD' were closely related to the interference of phospholipid metabolism. Conclusions This study provided a comprehensive description of metabolomics and lipidomics changes between OPD- and OPD'-treated rats, it would add to the knowledge base of the field, which also provided scientific guidance for the subsequent mechanism research. However, the underlying mechanism require further research.

scholarly journals Exploring Metabolic Signature of Protein Energy Wasting in Hemodialysis Patients

Metabolites ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 291 ◽  
Author(s):  
Fatin Athirah Pauzi ◽  
Sharmela Sahathevan ◽  
Ban-Hock Khor ◽  
Sreelakshmi Sankara Narayanan ◽  
Nor Fadhlina Zakaria ◽  
...  
Keyword(s):  
Weight Status ◽  
Partial Least Square ◽  
Least Square ◽  
Controlled Study ◽  
Plasma Metabolites ◽  
Maintenance Hemodialysis ◽  
Protein Energy Wasting ◽  
Metabolic Pattern ◽  
Metabolic Alteration ◽  
Protein Energy

End-stage renal disease patients undergoing maintenance hemodialysis (HD) are vulnerable to the protein energy wasting (PEW) syndrome. Identification and diagnosis of PEW relies on clinical processes of judgment dependent on fulfilling multiple criteria drawn from serum biochemistry, weight status, predictive muscle mass, dietary energy and protein intakes. Therefore, we sought to explore the biomarkers’ signature with plasma metabolites of PEW by using 1H-nuclear magnetic resonance for an untargeted metabolomics approach in the HD population, to understand metabolic alteration of PEW. In this case-controlled study, a total of 53 patients undergoing chronic HD were identified having PEW based on established diagnostic criteria and were age- and sex-matched with non-PEW (n = 53) HD patients. Fasting predialysis plasma samples were analyzed. Partial least square discriminant analysis demonstrated a significant separation between groups for specific metabolic pattern alterations. Further quantitative analysis showed that the level of 3-hydroxybutyrate, acetate, arabinose, maltose, ribose, sucrose and tartrate were significantly increased whilst creatinine was significantly decreased (all p < 0.05) in PEW subjects. Pathway analysis indicated that PEW-related metabolites reflected perturbations in fatty acid mechanism and induction of glyoxylate and dicarboxylate pathway attributed to gluconeogenesis. These results provide preliminary data in understanding metabolic alteration of PEW and corresponding abnormal metabolites that could potentially serve as biomarkers of PEW.

scholarly journals Metabolomic Analysis of Clinical Plasma from Cerebral Infarction Patients Presenting with Blood Stasis

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Min Ho Cha ◽  
Min Jung Kim ◽  
Jeeyoun Jung ◽  
Jin Hee Kim ◽  
Myeong Soo Lee ◽  
...  
Keyword(s):  
Cerebral Infarction ◽  
Blood Circulation ◽  
Blood Stasis ◽  
Partial Least Square ◽  
Least Square ◽  
Plasma Metabolites ◽  
Metabolomic Analysis ◽  
Analysis Model ◽  
Traditional Korean Medicine ◽  
Purple Coloration

Blood stasis (BS) is characterized as a disorder of blood circulation. In traditional Korean medicine (TKM), it is viewed as a cause factor of diseases such as multiple sclerosis and stroke. This study investigated differences in the plasma metabolites profiles of subjects displaying BS or non-BS patterns. Thirty-one patients with cerebral infarction diagnosed with BS and an equal number of sex- and age-matched non-BS patients were enrolled. Metabolic profiling was performed using UPLC-MS. The ratio of subjects with a rough pulse and purple coloration of the tongue was higher in patients presenting with BS pattern. Through metabolomics analysis, 82 metabolites that differed significantly between the BS and non-BS pattern were identified, and the two groups were significantly separated using an orthogonal partial least square-discriminant analysis model(P<0.001). Of these 82 metabolites, acetyl carnitine, leucine, kynurenine, phosphocholine, hexanoyl carnitine, and decanoyl carnitine were present in significantly higher levels in patients with a BS pattern than those with a non-BS pattern. Our results also demonstrated that seven plasma metabolites, including acyl-carnitines and kynurenine, were associated with a BS pattern, suggesting that variant plasma metabolic profiles may serve as a biomarker for diagnosis of BS in patients with cerebral infarction.

scholarly journals Blood Metabolites Associate with Prognosis in Endometrial Cancer

Metabolites ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 302
Author(s):  
Elin Strand ◽  
Ingvild L. Tangen ◽  
Kristine E. Fasmer ◽  
Havjin Jacob ◽  
Mari K. Halle ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Survival Rates ◽  
Area Under The Curve ◽  
Developed Countries ◽  
Partial Least Square ◽  
Least Square ◽  
Plasma Metabolites ◽  
Long Survival ◽  
Cancer Management ◽  
Gynecology And Obstetrics

Endometrial cancer has a high prevalence among post-menopausal women in developed countries. We aimed to explore whether certain metabolic patterns could be related to the characteristics of aggressive disease and poorer survival among endometrial cancer patients in Western Norway. Patients with endometrial cancer with short survival (n = 20) were matched according to FIGO (International Federation of Gynecology and Obstetrics, 2009 criteria) stage, histology, and grade, with patients with long survival (n = 20). Plasma metabolites were measured on a multiplex system including 183 metabolites, which were subsequently determined using liquid chromatography-mass spectrometry. Partial least square discriminant analysis, together with hierarchical clustering, was used to identify patterns which distinguished short from long survival. A proposed signature of metabolites related to survival was suggested, and a multivariate receiver operating characteristic (ROC) analysis yielded an area under the curve (AUC) of 0.820–0.965 (p ≤ 0.001). Methionine sulfoxide seems to be particularly strongly associated with poor survival rates in these patients. In a subgroup with preoperative contrast-enhanced computed tomography data, selected metabolites correlated with the estimated abdominal fat distribution parameters. Metabolic signatures may predict prognosis and be promising supplements when evaluating phenotypes and exploring metabolic pathways related to the progression of endometrial cancer. In the future, this may serve as a useful tool in cancer management.

scholarly journals Ultra-processed Food Consumption and Incident Frailty: A Prospective Cohort Study of Older Adults (P01-012-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Helena Sandoval-Insausti ◽  
Ruth Blanco-Rojo ◽  
Auxiliadora Graciani ◽  
Esther Lopez-Garcia ◽  
Belén Moreno-Franco ◽  
...  
Keyword(s):  
Older Adults ◽  
Cohort Study ◽  
Food Intake ◽  
Food Consumption ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Community Dwelling ◽  
Alcoholic Beverages ◽  
Processed Foods ◽  
Processed Food

Abstract Objectives Ultra-processed food intake has been associated with chronic conditions. The aim of this study was to assess the relationship between ultra-processed food intake and incident frailty in community-dwelling older adults. Methods Prospective cohort study with 1822 individuals aged ≥60 who were recruited during 2008–2010 in Spain. At baseline, food consumption was obtained using a validated computerized face-to-face dietary history. Ultra-processed foods were identified according to the nature and extent of their industrial processing (NOVA classification). In 2012, incident frailty was ascertained based on Fried's criteria. Statistical analyses were performed with logistic regression and adjusted for the main potential confounders. Results After a mean follow-up of 3.5 years, 132 cases of frailty were identified. The odds ratios (95% confidence interval) for frailty across increasing quartiles of the percentage of total energy intake from ultra-processed foods were: 1.00, 1.52 (0.78–2.96), 2.98 (1.62–5.50), and 3.67 (2.00–6.73); p for linear trend: <0.001. Results were similar when food consumption was expressed as gram per day/body weight. Regarding ultra-processed food groups, the highest versus the lowest tertiles of consumption of yogurts and fermented milks, cakes and pastries, as well as non-alcoholic beverages (instant coffee and cocoa, packaged juices, and other non-alcoholic drinks, excluding soft drinks) were also significantly related to incident frailty. Conclusions Consumption of ultra-processed foods is strongly associated with frailty risk in older adults. Funding Sources Data collection was funded by the following grants: FIS PI16/1512; PI16/1460; PI16/609; PI17/1709 (State Secretary of R + D and FEDER/FSE), the ATHLOS project (EU H2020-Project ID: 635316), the SALAMANDER project (PCIN-2016-145), and the CIBERESP, Instituto de Salud Carlos III, Madrid, Spain.

scholarly journals Combining Hydrogeochemical Characterization and a Hyperspectral Reflectance Tool for Assessing Quality and Suitability of Two Groundwater Resources for Irrigation in Egypt

Water ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2169 ◽  
Author(s):  
Mohamed Gad ◽  
Salah El-Hendawy ◽  
Nasser Al-Suhaibani ◽  
Muhammad Usman Tahir ◽  
Muhammad Mubushar ◽  
...  
Keyword(s):  
Groundwater Resources ◽  
Partial Least Square ◽  
Least Square ◽  
Hydrochemical Facies ◽  
Western Desert ◽  
Accurate Estimation ◽  
Hyperspectral Reflectance ◽  
Full Spectrum ◽  
Physiochemical Parameters ◽  
Groundwater Samples

Hyperspectral reflectance sensing provides a rapid and cost-effective technique for assessing the suitability of groundwater for irrigation by monitoring real-time changes in its quality at a large scale. In this study, we assessed the quality of 15 groundwater samples from El Fayoum depression in the Western Desert (WD) and 25 groundwater samples from the Central Nile Delta (CND) in Egypt using a traditional approach of the physiochemical parameters, irrigation water quality indicators (IWQIs), and hydrochemical facies. The spectral reflectance data of the water surface was used to build new simple reflectance indices (SRIs), and the performance of these indices for assessing IWQIs was compared with those by partial least square regression (PLSR) that was based on all SRIs or the full-spectrum ranges. Generally, the groundwater of the CND was fresher and more suitable for irrigation purposes than those of the WD. Based on the six IWQIs, ~6.7–60.0% and 85.0–100.0% of the groundwater samples of the WD and CND, respectively, were categorized as highly suitable for irrigation purposes. Based on hydrochemical facies, Na-Cl and Ca-HCO3 were dominant in the WD and CND, respectively, as well as the alkali earth metals (Na+ + K+), which significantly exceeded the alkaline earth metals (Ca2+ + Mg2+) in the WD, with the reverse for the CND. Most developed SRIs had a moderate, weak, and moderate to strong relationship with physiochemical parameters and IWQIs in the WD, CND, and across both regions, respectively. The PLSR models based on all SRIs provided a more accurate estimation of IWQIs in calibration and validation datasets than those based on full-spectrum ranges, and both PLSR models provided better estimation than the individual SRIs. These findings support the feasibility of using ground reflectance measurements as a fast and low-cost tool for the assessment and management of groundwater for irrigation in arid and semiarid regions.

scholarly journals Edible Gelatin Diagnosis Using Laser-Induced Breakdown Spectroscopy and Partial Least Square Assisted Support Vector Machine

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4225 ◽  
Author(s):  
Hao Zhang ◽  
Shun Wang ◽  
Dongxian Li ◽  
Yanyan Zhang ◽  
Jiandong Hu ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Partial Least Square ◽  
Least Square ◽  
Computational Time ◽  
Laser Induced Breakdown Spectroscopy ◽  
Accurate Estimation ◽  
Support Vector ◽  
Breakdown Spectroscopy ◽  
Svm Model ◽  
Laser Induced Breakdown

Edible gelatin has been widely used as a food additive in the food industry, and illegal adulteration with industrial gelatin will cause serious harm to human health. The present work used laser-induced breakdown spectroscopy (LIBS) coupled with the partial least square–support vector machine (PLS-SVM) method for the fast and accurate estimation of edible gelatin adulteration. Gelatin samples with 11 different adulteration ratios were prepared by mixing pure edible gelatin with industrial gelatin, and the LIBS spectra were recorded to analyze their elemental composition differences. The PLS, SVM, and PLS-SVM models were separately built for the prediction of gelatin adulteration ratios, and the hybrid PLS-SVM model yielded a better performance than only the PLS and SVM models. Besides, four different variable selection methods, including competitive adaptive reweighted sampling (CARS), Monte Carlo uninformative variable elimination (MC-UVE), random frog (RF), and principal component analysis (PCA), were adopted to combine with the SVM model for comparative study; the results further demonstrated that the PLS-SVM model was superior to the other SVM models. This study reveals that the hybrid PLS-SVM model, with the advantages of low computational time and high prediction accuracy, can be employed as a preferred method for the accurate estimation of edible gelatin adulteration.

scholarly journals Global Metabolomic and Lipidomic Analysis Reveals the Potential Mechanisms of Hemolysis Effect of Ophiopogonin D and Ophiopogonin D’ in vivo

2020 ◽  
Author(s):  
Xu Huan-Hua ◽  
Zhen-Hong Jiang ◽  
Cong-Shu Huang ◽  
Yu-Ting Sun ◽  
Long-Long Xu ◽  
...  
Keyword(s):  
Principal Component ◽  
Phospholipid Metabolism ◽  
Partial Least Square ◽  
Least Square ◽  
Practical Significance ◽  
Plasma Metabolites ◽  
Active Components ◽  
The Difference

Abstract Background: OPD and OPD' are the two main active components of Ophiopogon japonicas in Shenmai injection (SMI). Being isomers of each other, they are supposed to have similar pharmacological activities, but the actual situation is complicated. The difference of hemolytic behavior between OPD and OPD' in vivo and in vitro was discovered and reported by our group for the first time. In vitro, only OPD' showed hemolysis reaction, while in vivo, both OPD and OPD' caused hemolysis. The primary cause of hemolysis in vitro has been confirmed to be related to the difference between physical and chemical properties of OPD and OPD', but the mechanism of hemolysis in vivo is still unclear, especially the existing research are still difficult to explain why OPD shows the inconsistent hemolysis behavior in vivo and in vitro. Therefore, the study of hemolysis of OPD and OPD' in vivo is of great practical significance in response to the increase of adverse events of SMI.Methods: Aiming at the hemolysis in vivo, this manuscript adopted untargeted metabolomics and lipidomics technology to preliminarily explore the changes of plasma metabolites and lipids of OPD- and OPD'-treated rats. Metabolomics and lipidomics analyses were performed on ultra-high performance liquid chromatography (UPLC) system tandem with different mass spectrometers (MS) and different columns respectively. Multivariate statistical approaches such as principal component analysis (PCA) and orthogonal partial least square-discriminant analysis (OPLS-DA) were applied to screen the differential metabolites and lipids.Results: Both OPD and OPD' groups experienced hemolysis, Changes in endogenous differential metabolites and differential lipids, enrichment of differential metabolic pathways, and correlation analysis of differential metabolites and lipids all indicated that the causes of hemolysis by OPD and OPD' were closely related to the interference of phospholipid metabolism.Conclusions: This study confirmed that interference of phospholipid metabolism was the main cause of hemolysis of OPD and OPD'. This study provided a comprehensive description of metabolome and lipidomic changes under the condition of hemolysis which caused by OPD and OPD'. It can also provide clues for research on the hemolysis mechanism of traditional Chinese medicine.

scholarly journals Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

2020 ◽  
Vol 17 (14) ◽  
pp. 5201
Author(s):  
Hashem Salarzadeh Jenatabadi ◽  
Che Wan Jasimah Bt Wan Mohamed Radzi ◽  
Nadia Samsudin
Keyword(s):  
Mental Health ◽  
Body Mass Index ◽  
Maximum Likelihood ◽  
Food Intake ◽  
Body Mass ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Bayesian Estimator ◽  
Postpartum Women

As postpartum obesity is becoming a global public health challenge, there is a need to apply postpartum obesity modeling to determine the indicators of postpartum obesity using an appropriate statistical technique. This research comprised two phases, namely: (i) development of a previously created postpartum obesity modeling; (ii) construction of a statistical comparison model and introduction of a better estimator for the research framework. The research model displayed the associations and interactions between the variables that were analyzed using the Structural Equation Modeling (SEM) method to determine the body mass index (BMI) levels related to postpartum obesity. The most significant correlations obtained were between BMI and other substantial variables in the SEM analysis. The research framework included two categories of data related to postpartum women: living in urban and rural areas in Iran. The SEM output with the Bayesian estimator was 81.1%, with variations in the postpartum women’s BMI, which is related to their demographics, lifestyle, food intake, and mental health. Meanwhile, the variation based on SEM with partial least squares estimator was equal to 70.2%, and SEM with a maximum likelihood estimator was equal to 76.8%. On the other hand, the output of the root mean square error (RMSE), mean absolute error (MSE) and mean absolute percentage error (MPE) for the Bayesian estimator is lower than the maximum likelihood and partial least square estimators. Thus, the predicted values of the SEM with Bayesian estimator are closer to the observed value compared to maximum likelihood and partial least square. In conclusion, the higher values of R-square and lower values of MPE, RMSE, and MSE will produce better goodness of fit for SEM with Bayesian estimators.

Ultra-processed Food Consumption and Incident Frailty: A Prospective Cohort Study of Older Adults

2019 ◽  
Vol 75 (6) ◽  
pp. 1126-1133 ◽  
Author(s):  
Helena Sandoval-Insausti ◽  
Ruth Blanco-Rojo ◽  
Auxiliadora Graciani ◽  
Esther López-García ◽  
Belén Moreno-Franco ◽  
...  
Keyword(s):  
Older Adults ◽  
Cohort Study ◽  
Food Intake ◽  
Food Consumption ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Community Dwelling ◽  
Processed Foods ◽  
Processed Food ◽  
Age Related

Abstract Background Ultra-processed food intake has been associated with chronic conditions and mortality. The aim of this study was to assess the relationship between ultra-processed food intake and incident frailty in community-dwelling older adults. Methods Prospective cohort study with 1,822 individuals aged at least 60 years who were recruited during 2008–2010 in Spain. At baseline, food consumption was obtained using a validated computerized face-to-face dietary history. Ultra-processed foods were identified according to the nature and extent of their industrial processing (NOVA classification). In 2012, incident frailty was ascertained based on Fried’s criteria. Statistical analyses were performed with logistic regression and adjusted for the main potential confounders. Results After a mean follow-up of 3.5 years, 132 cases of frailty were identified. The fully adjusted risks of frailty across increasing quartiles of the percentage of total energy intake from ultra-processed foods were the following: 0.04 (0.02–0.05), 0.05 (0.03–0.07), 0.09 (0.07–0.12), and 0.11 (0.08–0.14). Results were similar when food consumption was expressed as gram per day/body weight. Regarding ultra-processed food groups, the highest versus the lowest tertiles of consumption of yogurts and fermented milks, cakes and pastries, as well as nonalcoholic beverages (instant coffee and cocoa, packaged juices, and other nonalcoholic drinks, excluding soft drinks) were also significantly related to incident frailty. Conclusions Consumption of ultra-processed foods is strongly associated with frailty risk in older adults. Substituting unprocessed or minimally processed foods for ultra-processed foods would play an important role in the prevention of age-related frailty. Trial registration NCT02804672.

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