scholarly journals Identifying Metabolomic Profiles of Insulinemic Dietary Patterns (OR31-03-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Fred Tabung ◽  
Raji Balasubramanian ◽  
Steven Clinton ◽  
Liming Liang ◽  
Clary Clish ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Statistical Significance ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Validation Dataset ◽  
Plasma Metabolites ◽  
Obese Women ◽  
Cross Sectional ◽  
Funding Sources ◽  
Secondary Analyses

Abstract Objectives The empirical dietary index for hyperinsulinemia (EDIH) is a food-based score derived from correlations with plasma c-peptide. Our aim is to use the EDIH to discover metabolites associated with insulinemic dietary patterns. Methods This baseline cross-sectional study evaluated associations between continuous EDIH scores from food frequency questionnaires and 448 log-transformed plasma metabolites as outcomes in multivariable linear regression analyses. Metabolites were measured with liquid chromatography tandem mass spectroscopy. Metabolite discovery was conducted among 1109 Women's Health Initiative (WHI) Hormone Therapy trial participants and results replicated in an independent dataset of 810 WHI Observational Study participants. In both discovery and replication datasets statistical significance was based on false-discovery rate adjusted P < 0.05. Secondary analyses were conducted in body mass index (BMI: <25, >=25 kg/m2) categories. Results After adjustment for energy intake, BMI, physical activity, and other confounding variables, 26 metabolites were significantly associated with EDIH in the discovery dataset, and included: trigonelline, C14:0 CE, C16:1 CE, C18:1 CE, C18:3 CE, C20:3 CE. C20:5 CE, C36:1 PS plasmalogen and eicosapentaenoate were associated with lower dietary insulinemic potential, whereas C36:3 DAG, C51:3 TAG, C52:3 TAG, C52:4 TAG, C54:2 TAG, C54:3 TAG, C54:4 TAG, C54:6 TAG, C36:4 DAG-A, cystathionine, isoleucine, N4-acetylcytidine, C10:2 carnitine, cAMP, C18:2 SM, C4-OH carnitine, and myristoleic acid were associated with higher dietary insulinemic potential. 25 out of the 26 metabolites replicated in the validation dataset except myristoleic acid. In secondary analyses within BMI strata, Associations differed by BMI category: 12 metabolites were significant among normal weight women whereas 64 metabolites were associated with EDIH among overweight/obese women. Conclusions Cholesterol esters, triglycerides, carnitines and amino acids may constitute metabolites that are associated with insulinemic dietary patterns. Funding Sources R00CA207736, NHLBI HHSN268201300008C.

scholarly journals Identifying Metabolomic Profiles of Insulinemic Dietary Patterns

Metabolites ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 120 ◽  
Author(s):  
Fred K. Tabung ◽  
Raji Balasubramanian ◽  
Liming Liang ◽  
Steven K. Clinton ◽  
Elizabeth M. Cespedes Feliciano ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Statistical Significance ◽  
Cross Sectional Study ◽  
Validation Dataset ◽  
Cross Sectional ◽  
Independent Dataset ◽  
C Peptide ◽  
Dietary Index ◽  
Liquid Chromatography Tandem Mass ◽  
Tandem Mass Spectroscopy

The food-based empirical dietary index for hyperinsulinemia (EDIH) score assesses the insulinemic potential of diet. This cross-sectional study evaluated associations between EDIH scores from food frequency questionnaires with c-peptide concentrations and with 448 metabolites, from fasting plasma samples, in multivariable linear regression analyses. Metabolites were measured with liquid chromatography tandem mass spectroscopy. Using a robust two-stage study design, discovery of metabolite associations was conducted among 1109 Women’s Health Initiative (WHI) Hormone Therapy (HT) trial participants and results replicated in an independent dataset of 810 WHI Observational Study (OS) participants. In both discovery and replication datasets, statistical significance was based on the false-discovery rate adjusted P < 0.05. In the multivariable-adjusted analyses, EDIH was significantly associated with c-peptide concentrations among 919 women (HT & OS) with c-peptide data. On average, c-peptide concentrations were 18% higher (95% CI, 6%, 32%; P-trend < 0.0001) in EDIH quintile 5 compared to quintile 1. Twenty-six metabolites were significantly associated with EDIH in the discovery dataset, and 19 of these were replicated in the validation dataset. Nine metabolites were found to decrease in abundance with increasing EDIH scores and included: C14:0 CE, C16:1 CE, C18:1 CE, C18:3 CE, C20:3 CE, C20:5 CE, C36:1 PS plasmalogen, trigonelline, and eicosapentanoate, whereas the 10 metabolites observed to increase with increasing EDIH scores were: C18:2 SM, C36:3 DAG, C36:4 DAG-A, C51:3 TAG, C52:3 TAG, C52:4, TAG, C54:3 TAG, C54:4 TAG, C54:6 TAG, and C10:2 carnitine. Cholesteryl esters, phospholipids, acylglycerols, and acylcarnitines may constitute circulating metabolites that are associated with insulinemic dietary patterns.

scholarly journals Pattern of Adiponectin, Osteocalcin, Irisin, FGF-21, and MCP-1 According to the Body Size Phenotype: Could They Be Markers of Metabolic Health in Mexican-Mestizo Middle-Aged Women?

Metabolites ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 771
Author(s):  
Lourdes Balcázar-Hernandez ◽  
Lourdes Basurto ◽  
Leticia Manuel-Apolinar ◽  
Sara Vega-García ◽  
Norma Basurto-Acevedo ◽  
...  
Keyword(s):  
Body Size ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
The Body ◽  
Metabolic Phenotype ◽  
Obese Women ◽  
Middle Aged ◽  
Cross Sectional ◽  
Metabolically Healthy Obese ◽  
Metabolically Healthy

Variations in levels of some adipokines, myokines, osteokines, hepatokines and inflammatory cytokines contribute to abnormal glucose and lipid metabolism. The aim of this study was to determine the pattern of adiponectin, osteocalcin (OCN), irisin, FGF-21, and MCP-1 according to the body size phenotype of middle-aged women, and their associations with BMI, visceral adipose tissue (VAT), and HOMA-IR. A cross-sectional study in 265 women aged from 40 to 65 years was performed. The biochemical characteristics were evaluated in metabolically healthy normal weight, metabolically unhealthy normal weight, metabolically healthy obese, and metabolically unhealthy obese women. There was an association of OCN with BMI (r = −0.107; p = 0.047); adiponectin with BMI (r = −0.217; p = 0.001), insulin (r = −0.415; p = 0.0001), HOMA-IR (r = −0.429; p = 0.0001), and VAT (r = −0.134; p = 0.025); irisin with BMI (r = 0.604; p = 0.001), insulin (r = 0.446; p = 0.0001), HOMA-IR (r = 0.452; p = 0.0001), and VAT (r = 0.645; p = 0.0001); FGF−21 with insulin (r = −0.337; p= 0.030) and HOMA-IR (r = −0.341; p = 0.03); and MCP-1 with BMI (r = 0.481; p = 0.0001), VAT (r = 0.497; p = 0.001), insulin (r = 0.298; p= 0.001), and HOMA-IR (r = 0.255; p = 0.004). A multivariate analysis showed that an elevation of OCN (OR 1.4 (95%CI 1.06–1.81)) and a reduction of adiponectin (OR 0.9 (0.84–0.96)) were associated factors for a metabolic unhealthy phenotype in normal weight participants. Likewise, higher irisin (OR 1.007 (1.003–1.011)) and MCP-1 (1.044 (1.008–1.083)) were risk factors for a metabolic unhealthy phenotype in woman with obesity. OCN, adiponectin, irisin, FGF-21, and MCP-1 are associated with some metabolic parameters such as BMI, HOMA-IR, and VAT, and could be possible biomarkers of an unhealthy metabolic phenotype in middle-aged women.

scholarly journals Determinants of IGF1 and GH across the weight spectrum: from anorexia nervosa to obesity

2010 ◽  
Vol 163 (2) ◽  
pp. 185-191 ◽  
Author(s):  
D J Brick ◽  
A V Gerweck ◽  
E Meenaghan ◽  
E A Lawson ◽  
M Misra ◽  
...  
Keyword(s):  
Anorexia Nervosa ◽  
Free Testosterone ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
The Body ◽  
Obese Women ◽  
Significant Determinant ◽  
Serum Samples ◽  
Cross Sectional ◽  
Gh Secretion

ContextChronic starvation is characterized by GH resistance, and obesity is characterized by decreased GH secretion. In both extremes, IGF1 levels may be low and androgen levels may be abnormal.ObjectiveTo investigate the determinants of IGF1 and GH across the weight spectrum in women.DesignCross-sectional study.SettingClinical research center.Study participantsIn total, 32 women had participated in the study: 11 women with anorexia nervosa (AN), 11 normal-weight women, and 10 obese women of comparable mean age.InterventionNone.Main outcome measuresPooled hourly overnight serum samples assayed for IGF1, GH, estradiol (E2), testosterone, SHBG, insulin, free fatty acids, and trunk fat.ResultsFree testosterone was higher in obese women and lower in women with AN than in normal-weight women, and was the only independent (and positive) predictor of IGF1 levels, accounting for 14% of the variability (P=0.032) in the group as a whole. This relationship was stronger when obese women were excluded, with free testosterone accounting for 36% of the variability (P=0.003). Trunk fat accounted for 49% of the variability (P<0.0001) of GH, with an additional 7% of the variability attributable to E2 (P=0.042) in the group as a whole, but was not a significant determinant of GH secretion when obese women were excluded.ConclusionsFree testosterone is a significant determinant of IGF1 levels in women across the body weight spectrum. In contrast, GH secretion is differentially regulated at the extremes of the weight spectrum.

scholarly journals Does Interaction between Sleep Quality and Major Dietary Patterns Predicts Depression among Overweight and Obese Women in Iran?

2021 ◽  
Author(s):  
Be-Ikuu Dominic Doglikuu ◽  
Abolghassem Djazayery ◽  
Atieh Mirzababaei ◽  
Seyedeh Forough Sajjadi ◽  
Negin Badruj ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
High Energy ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Obese Women ◽  
Obese People ◽  
Cross Sectional ◽  
Independent Association

Background: Although major dietary patterns and sleep quality independently affect psychiatric disorders, their interactive association on depression is not clear. This study assesses the independent association of dietary patterns and sleep quality on depression, and also investigates their interactive associations on depression among overweight and obese women in Iran Methods: Cross-sectional study was conducted among 304 participants, age 18 and above in 2018 at Tehran Iran. Usual dietary intake was collected with 174-FFQ. Participants’ biochemical parameters and depression were measured using standard protocol. Major dietary patterns were extracted by factor analysis and grouped into Fruits&Vegetable group (healthy dietary pattern), High Fat diary&Red Meat group (unhealthy dietary pattern) and Crackers&High Energy Drinks group (western dietary patterns). Results: After adjusting for confounders poor sleep was associated with moderate and high depression; AOR (95%CI): 0.41(0.19-0.90) and 0.29(0.13-0.60) respectively. However, healthy dietary patterns (tertiles 2nd and 3rd) interact with sleep for depression; AOR (95%CI): 4.168(1.166-14.992) and 2.966(1.068-8.234) respectively. Unhealthy dietary pattern tertiles 2nd and 3rd interact with sleep for depression; AOR (95%CI): 2.925(1.055-8.113) and 4.216(1.182-15.042) respectively and Western dietary pattern tertile 3rd interacts with sleep for depression; AOR (95%CI): 4.264(1.494-12.169). Conclusion: Sleep deprivation could be associated with depression. However, sleep quality could interacts with dietary patterns to be associate with depression among overweight and obese people.  

scholarly journals Dietary patterns and metabolic phenotypes in Brazilian adults: a population-based cross-sectional study

2019 ◽  
Vol 22 (18) ◽  
pp. 3377-3383 ◽  
Author(s):  
Dayana LM Pereira ◽  
Leidjaira L Juvanhol ◽  
Danielle CG Silva ◽  
Giana Z Longo
Keyword(s):  
Food Consumption ◽  
Dietary Patterns ◽  
Multinomial Logistic Regression ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Alcoholic Beverages ◽  
Sectional Study ◽  
Cross Sectional ◽  
Metabolic Phenotypes

AbstractObjective:Dietary patterns have been pointed out as useful diet quality indicators, but evidence about their relationship to metabolic phenotypes is still scarce. Thus, the present study aimed to verify the relationship between dietary patterns and metabolic phenotypes in Brazilian adults.Design:Cross-sectional study. A food consumption frequency questionnaire assessed food consumption profiles. Metabolic phenotypes were defined based on the criteria of the National Health and Nutrition Examination Survey: overweight or normal weight and metabolically healthy (MHOW and MHNW) or unhealthy (MUOW and MUNW). Dietary patterns were established through exploratory factor analysis and principal component analysis. The associations were tested using multinomial logistic regression.Setting:Viçosa, Minas Gerais, Brazil.Participants:Individuals (n 896) aged 20–59 years of both sexes, selected using probabilistic sampling.Results:Three dietary patterns were identified: Unhealthy pattern (alcoholic beverages, oils and fats, condiments, soda and juice, sugars and sweets, snacks, and meat and derivatives), Traditional pattern (culinary preparations, beans, milk and dairy products, and coffee and tea) and Healthy pattern (vegetables and fruits, whole grains, chicken and fish, and skimmed milk). Unhealthy pattern was positively associated with the MHOW and MUOW phenotypes in the fourth quartile (OR = 1·84; 95 % CI 1·06, 3·22) and in the third (OR = 1·94; 95 % CI 1·11, 3·39) and fourth (OR = 2·56; 95 % CI 1·41, 4·64) quartiles of consumption, respectively. Healthy pattern was also associated with these phenotypes.Conclusions:Both the pattern comprising energy-dense foods and the healthier pattern were associated with overweight phenotypes among Brazilian adults.

scholarly journals Levels of Physical Activity in Spanish Asthmatics: A Cross-Sectional Study

Medicina ◽  
2020 ◽  
Vol 56 (12) ◽  
pp. 643
Author(s):  
Sheila Sánchez Castillo ◽  
Lee Smith ◽  
Arturo Díaz Suárez ◽  
Guillermo Felipe López Sánchez
Keyword(s):  
Physical Activity ◽  
Sex Education ◽  
Statistical Significance ◽  
Cross Sectional Study ◽  
Study Data ◽  
Normal Weight ◽  
Short Version ◽  
Cross Sectional ◽  
Living Together ◽  
Metabolic Equivalent Of Task

Background and objectives: 339 million people in the world suffer from asthma. Regular physical activity (PA) could help in its control. Therefore, the aim of this research was to determine the level of PA in Spanish people with asthma considering variation by, age, sex, education, marital status, living together, smoking habits, alcohol intake and body mass index (BMI). Materials and Methods: 1014 Spanish people from 15 to 69 years were included in the study. Data of the Spanish Health Survey (year 2017) were analysed. PA levels were measure with the international physical activity questionnaire short version (IPAQ-SF). PA was categorized as low, moderate and high, and analyzed by sample characteristics. Mann-Whitney U test, Kruskall Wallis H and crosstabs were used to calculate statistical significance (p < 0.05). Results: On average, Spanish asthmatics engaged in a weekly volume of 2228.9 metabolic equivalent of task (MET)·min/week. Males revealed significantly higher PA than females (2516.8 vs. 2019.5 MET·min/week; p = 0.005), younger participants (<30 years) compared to people aged 30–60 years and older than 60 years (2699.0; 2243.2; 1619.3 MET·min/week; p < 0.001) and those with tertiary level of education than those without secondary (2368.3 vs. 2168.3 MET·min/week; p = 0.001). Level of PA was lower in those married (p = 0.001) and/or living together (p = 0.010). Alcohol consumers showed a higher level than the participants who did not drink (2378.3 vs. 1907.9 MET·min/week; p = 0.001), but no significant differences were found within current, past and never smokers (p = 0.890). Obese asthmatics engaged in less PA than their normal weight and overweight peers (p < 0.001). Overall, moderate level was significantly the most frequent (47.7%), but 31.6% showed a low level. Conclusions: Three out of ten Spanish people with asthma do not achieve PA recommendations, so PA programs should be executed to make people aware of its benefits in asthma control, focusing on those groups with lower PA levels.

scholarly journals Pancreatic Duodenal Homeobox Factor-1 and Neurogenin-3 Serum Expression in Gestational Diabetes

2020 ◽  
Vol 15 ◽  
pp. 6
Author(s):  
Arturo González Santana ◽  
Jessica María Rodríguez Cortés ◽  
Leicy Jazmin Ruíz Barrera ◽  
Bacteriologist ◽  
Araceli Consuelo Hinojosa Juárez ◽  
...  
Keyword(s):  
Gestational Diabetes ◽  
Multiple Regression ◽  
Statistical Significance ◽  
Serum Levels ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Cross Sectional ◽  
Neurogenin 3 ◽  
Glucose Levels ◽  
Normal Gestation

Objectives: Pancreatic duodenal homeobox factor-1 (PDX-1) and neurogenin-3 (NGN-3) are progenitor cell markers in the pancreas. The aim was to compare their serum levels in women with and without gestational diabetes mellitus (GDM). Material and Methods: This prospective, cross-sectional study included two groups: (a) Women with normal gestation and (b) with GDM. PDX-1 and NGN-3 serum expression was determined by qRT-PCR. Student’s t-test or the Mann–Whitney U-test was used to contrast both groups and the Pearson or Spearman correlation was used. A multiple regression was done introducing body mass index and the relative expression of both genes as independent variables and glucose as dependent variable. Statistical significance was tested at P ≤ 0.05 level. Results: Thirty-eight patients (mean age was of 29.00 ± 7.74 years) were included, 22 belonged to the normal pregnancies, and 16 to GDM. Using the ΔΔCt method, the expression fold change for PDX-1 was 0.458 and for NGN-3 it was 0.361. There was a significant positive correlation between the expressions of both genes. The multiple regression was significant for both genes expression and glucose levels in case of having normal weight. Conclusion: PDX-1 and NGN-3 low serum expression could be predictors of higher glucose levels in normal pregnancies.

scholarly journals Dietary Patterns and Sociodemographic Factors in Socially Vulnerable Populations: Cross-Sectional Study in Users of First Level Healthcare

2020 ◽  
Author(s):  
Christian Torres ◽  
Emanuel Orozco ◽  
Jacqueline Alcalde ◽  
Nayeli Macias ◽  
Armando Arredondo
Keyword(s):  
Dietary Patterns ◽  
Statistical Significance ◽  
Tobacco Consumption ◽  
Sociodemographic Factors ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Animal Origin ◽  
Plain Water ◽  
Cross Sectional ◽  
Varied Pattern

Abstract Objective: Define the dietary patterns of adults with normal weight, overweight and obesity, and their association with socio-demographic factors. Methods: The size of the sample universe is 1,000 homes in four states of the Mexican Republic. A sub-sample was selected of 787 people to whom a healthcare questionnaire was applied. A factor analysis by principal components was carried out to identify dietary patterns. The distribution of the population’s socio-demographic characteristics was analyzed by quartiles and a multivariate logistic regression was done with dietary patterns as the dependent variable; p < 0.05 values were taken for statistical significance.Results: Three dietary patterns were identified in the two population groups (normal weight / overweight-obesity): Prudent, Western and Varied. In both groups, a prudent pattern was found, with high consumption of fruits, vegetables and plain water. The Western pattern is characterized by consumption of flours, processed foods and those of animal origin, and the varied pattern presented consumption of oils, sugar sweetened beverages and snacks. The Prudent pattern was positively associated with the female sex and age, while the Western pattern was associated with elementary schooling level and the varied pattern with the masculine sex. The study population reported dietary risk factors, physical inactivity, and time in front of a screen, tobacco consumption, alcohol consumption and family history of chronic diseases.Conclusion: Health effects derived from the different dietary patterns could increase economic and social vulnerability of the studied populations, which is a challenge to the health system for the provision of comprehensive care.

scholarly journals Associação entre obesidade, risco de quedas e medo de cair em mulheres idosas

2017 ◽  
Vol 19 (4) ◽  
pp. 450 ◽  
Author(s):  
Silvia Gonçalves Ricci Neri ◽  
André Bonadias Gadelha ◽  
Ana Luiza Matias Correia ◽  
Juscélia Cristina Pereira ◽  
Marisete Peralta Safons ◽  
...  
Keyword(s):  
Fear Of Falling ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
The Body ◽  
Obese Women ◽  
Chi Square ◽  
Cross Sectional ◽  
Significance Level ◽  
Risk Of Falls ◽  
Overweight Subjects

DOI: http://dx.doi.org/10.5007/1980-0037.2017v19n4p450 The aim of this cross-sectional study was to investigate the association between obesity, risk of falls and fear of falling in older women. Two hundred and twenty-six volunteers (68.05 ± 6.22 years, 68.06 ± 11.79 kg, 1.56 ± 0.06 m) were classified as normal weight, overweight or obese, according to the body mass index. Risk of falls and fear of falling were evaluated using QuickScreen Clinical Falls Risk Assessment and Falls Efficiency Scale – International (FES-I), respectively. Comparisons between groups were conducted using Chi-square and ANOVA One-way tests. The significance level was set at p< 0.05. Obesity was associated with greater probability of falls (p< 0.001), which may be partly explained by decreased muscle strength (p< 0.001) and reaction time (p< 0.001). In addition, significant differences between groups was observed in FES-I score (p< 0.01), with obese women showing more pronounced fear of falling (30.10 ± 8.4) than normal weigh (25. 33 ± 7.11, p< 0.01) and overweight subjects (26.97 ± 7.05, p< 0.05). These findings corroborate previous evidence pointing obesity as a major risk factor for falls. Therefore, health professionals dealing with fall prevention should consider the effects of overweight.

Sign in / Sign up

Export Citation Format

Share Document