Metabolic and Inflammatory Profiles of Biomarkers in Obesity, Metabolic Syndrome, and Diabetes in a Mediterranean Population. DARIOS Inflammatory Study

Fernández-Bergés, Daniel; Consuegra-Sánchez, Luciano; Peñafiel, Judith; León, Antonio Cabrera de; Vila, Joan; Félix-Redondo, Francisco Javier; Segura‐Fragoso, Antonio; Lapetra, José; Guembe, María Jesús; Vega, Tomás; Fitó, Montserrat; Elosúa, Roberto; Díaz, Oscar; Marrugat, Jaume

doi:10.1016/j.rec.2013.10.019

Cited by 11 publications

(16 citation statements)

References 43 publications

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“…Potential confounding factors included characteristics that were associated with both the inflammatory markers and metabolic syndrome in previous studies 19,22,25,28,34,39,40 . These factors included: sociodemographic characteristics (sex, age, and schooling), health behaviors (smoking, alcohol intake, and physical activity), health conditions (arthritis, stroke, acute myocardial infarction, depressive symptoms, cognitive impairment, positive serology for Trypanosoma cruzi), and use of anti-inflammatory drugs.…”

Section: Potential Confounding Factorsmentioning

confidence: 99%

“…Given the accelerated growth of the elderly population in Brazil and the world 12 , alongside the phenomenon of "inflammaging" 13 , namely the higher degree of inflammation in the elderly population, it is obviously important to elucidate the role of inflammatory state as a component of the metabolic syndrome phenotype in this age group. This inflammatory profile is commonly associated with various noncommunicable diseases (NCDs) and their risk factors, common in the elderly population, as with the features of metabolic syndrome itself (obesity, dyslipidemia, hypertension, and diabetes) 14,15,16,17,18,19,20 . Still, there is no consensus as to the best inflammatory marker or combination of markers that is most consistently associated with metabolic syndrome in this population group 14,21,22,23 .…”

Section: Introductionmentioning

confidence: 99%

“…This lack of consensus on the association between metabolic syndrome and inflammatory markers may be explained at least partly by the different diagnostic criteria used for definition of the syndrome 3,29 and/or by the different ways of treating inflammatory markers used in the statistical analyses, using continuous measures (generally with log transformation) or categorized measures (using medians, tertiles, quartiles, etc.) 16,17,19,20,30,31,32,33,34 , which hinders the identification of a cutoff point based on which one can show significant changes in the prevalence of the target outcomes.…”

Section: Introductionmentioning

confidence: 99%

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Associação entre síndrome metabólica e marcadores inflamatórios em idosos residentes na comunidade

et al. 2019

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O objetivo do trabalho foi identificar os pontos de corte dos marcadores inflamatórios que melhor discriminassem a ocorrência da síndrome metabólica entre idosos residentes na comunidade. Foram utilizados os dados da linha de base da coorte de idosos conduzida na cidade de Bambuí, Minas Gerais, Brasil. A exposição de interesse foi a presença da síndrome metabólica, definida pelo critério Adult Treatment Panel III, e os desfechos incluíram os seguintes marcadores inflamatórios: citocinas (IL-1β, IL-6, IL-10, IL-12 e TNF), quimiocinas (CXCL8, CXCL9, CCL2, CXCL10 e CCL5) e proteína C-reativa (PCR). A definição dos pontos de corte dos marcadores inflamatórios foi baseada no método Classification and Regression Tree (CART). As associações entre esses marcadores e a síndrome metabólica foram estimadas por modelos de regressão logística, obtendo-se odds ratio e intervalos de 95% de confiança (IC95%), considerando o ajustamento por fatores de confusão. A prevalência da síndrome metabólica foi de 49,1%, e os níveis de IL-1β, IL-12 e TNF não se mostraram associados a essa exposição. Após ajustamento, a presença da síndrome metabólica foi associada a maiores valores de IL-6 e PCR e a menores valores de CXCL8 e CCL5. Associações significativas ainda foram observadas com níveis séricos intermediários de CXCL9 e CXCL10. Além disso, a combinação dos marcadores apresentou associação significativa e consistente com a síndrome metabólica. Além de demonstrar associação entre síndrome metabólica e uma ampla gama de biomarcadores, alguns ainda não descritos na literatura, os resultados ressaltam que essa associação ocorre em níveis muito inferiores aos já demonstrados, sugerindo que a síndrome metabólica desempenha importante papel no perfil inflamatório dos idosos.

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Section: Potential Confounding Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Associação entre síndrome metabólica e marcadores inflamatórios em idosos residentes na comunidade

et al. 2019

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“…Aunque los criterios que hemos utilizado para definir anormalidad cardiometabólica son relativamente laxos por utilizar el percentil 90 para la PCR y la resistencia a la insulina 41 , al utilizar niveles de resistencia a la insulina ≥P75, que restringe algo más estos criterios, los resultados sólo mejoraron muy ligeramente. La asociación de la leptina y otros marcadores de inflamación con el síndrome metabólico, la diabetes y la obesidad ha sido reportada en estudios recientes en España 42 .La prevalencia de anormalidad cardiometabólica es mayor que la de 14 síndrome metabólico descrita en España 43 lo cual puede deberse a la incorporación de la resistencia a la insulina y la PCR que amplía los criterios en relación con el síndrome metabólico solo.…”

Section: Discusionunclassified

Valores de referencia y puntos de corte de leptina para identificar anormalidad cardiometabólica en la población española

Gijón-Conde

Graciani

Guallar‐Castillón

et al. 2015

Revista Española de Cardiología

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Financiación. Los datos de este análisis proceden del estudio ENRICA, que fue financiado por Sanofi-Aventis. La financiación específica para este análisis procede de los proyectos FIS PI13/02321 y "Cátedra UAM de Epidemiología y Control del Riesgo Cardiovascular", Madrid, España. Este estudio está dirigido por un comité científico independiente.Conflicto de intereses. M. Teresa Aguilera es empleada de Sanofi-Aventis. No obstante, esta empresa no comercializa ningún producto relacionado con leptina u obesidad. Autor para correspondencia:Teresa Gijón Conde. Resultados: Los niveles de leptina fueron mayores en mujeres que en varones (media geométrica 21,9 ng/ml y 6,6 ng/ml, respectivamente, p<0.001) y aumentaban con la edad y el índice de masa corporal (p<0,001). La mediana fue 24,5 ng/ml en mujeres (rango intercuartílico P25-P75: 14,1-37,0) y 7,2 ng/ml en varones (P25-P75: 3,3-14,3).La leptinemia fue mayor en sujetos con obesidad general o abdominal, diabetes, hipertensión o síndrome metabólico (p<0.001 en todos los casos). Los valores de leptinemia que identificaron anormalidad cardiometabólica fueron 23,75 ng/ml en mujeres (área bajo la curva 0,722, 72,3% sensibilidad y 58,7% especificidad), y 6,45 ng/ml en varones (área bajo la curva 0,716, 71,4% sensibilidad y 60,2% especificidad). Conclusiones: Estos resultados facilitan la interpretación de los valores de leptinemiaen estudios clínicos y poblacionales. La leptina tiene sensibilidad y especificidad moderadas para identificar anormalidad cardiometabólica en ambos sexos. Cardiometabolic abnormality was defined by the presence of ≥2 of the following abnormalities: high blood pressure; high triglycerides; low high-density lipoprotein cholesterol; high levels of homeostasis model assessment of insulin resistance value; high C reactive protein and fasting glucose level. Results:The levels of leptin were higher in females than males (geometric mean of 21.9 ng/ml and 6.6 ng/ml respectively (p<0.001) and increased with age and body mass index (p<0.001). The median was 24.5 ng/ml in females (interquartile range P25-P75: 14.1-37.0) and 7.2 ng/ml in males (P25-P75:3.3-14.3). Leptin was also higher in patients with general or abdominal obesity, diabetes, hypertension or metabolic syndrome (p<0.001 in all cases). The leptinemia values that identified abnormal cardiometabolic were 23.75 ng/ml in females (area under the curve 0.722; sensitivity 72.3%, and specificity 58.7%), and 6.45 ng/ml in men (area under curve 0.716; sensitivity 71.4%, and specificity 60.2%).

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“…3 Although CRP is an acute phase reactant that rises dramatically in response to acute inflammation, 3 among those who are not acutely ill, variation in CRP concentration as measured by high-sensitivity CRP (hsCRP) has also been shown to be a clinically useful marker of subclinical, low-grade chronic inflammation. 1,4 CRP concentration has been positively associated with obesity, metabolic syndrome, and T2D in adults, 5 as well as elevated systolic and diastolic blood pressure in youth. 6 Prospectively, and independent of BMI, CRP concentration has been shown to predict several negative health outcomes, such as the development of hypertension 7 and T2D 8 in adults.…”

Section: Introductionmentioning

confidence: 99%

Pediatric Loss of Control Eating and High-Sensitivity C-Reactive Protein Concentrations

et al. 2017

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Background: Loss of control (LOC) eating in youth is associated with excess body weight and adiposity. After adjusting for fat mass, youth with LOC eating have higher blood pressure and higher low-density lipoprotein cholesterol compared to youth without LOC eating. Increased inflammation may account for this relationship, although few data have examined this hypothesis. Therefore, this study explored the association between LOC eating and high-sensitivity C-reactive protein (hsCRP), a marker of inflammation.Methods: We investigated hsCRP concentrations in relation to LOC eating in a convenience sample of 194 youth (age 14.3 -2.1 years; 63.9% female; BMI-z 1.64 -1.06). The presence of LOC eating in the past month was assessed by the Eating Disorder Examination interview. Serum hsCRP was measured by enzyme-linked immunosorbent assay. Adiposity was measured by air displacement plethysmography or dual-energy x-ray absorptiometry. We compared hsCRP in those with and without LOC eating in analyses accounting for sex, adiposity, height, depressive symptoms, and eating psychopathology.Results: Youth with LOC eating had significantly greater hsCRP than youth without LOC eating ( p = 0.02), after accounting for all covariates. The number of LOC eating episodes in the past month was positively associated with hsCRP ( p = 0.01). The relationship between LOC eating and hsCRP was not mediated by depressive symptoms or eating psychopathology ( ps > 0.05).Conclusions: Youth with disinhibited eating may manifest increased chronic inflammation. Those with LOC eating may be an important subgroup at risk for adverse health outcomes associated with both chronic inflammation and obesity. Future research should examine whether hsCRP concentrations mediate the relationship between LOC eating and its association with cardiometabolic risk.

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Metabolic and Inflammatory Profiles of Biomarkers in Obesity, Metabolic Syndrome, and Diabetes in a Mediterranean Population. DARIOS Inflammatory Study

Cited by 11 publications

References 43 publications

Associação entre síndrome metabólica e marcadores inflamatórios em idosos residentes na comunidade

Associação entre síndrome metabólica e marcadores inflamatórios em idosos residentes na comunidade

Valores de referencia y puntos de corte de leptina para identificar anormalidad cardiometabólica en la población española

Pediatric Loss of Control Eating and High-Sensitivity C-Reactive Protein Concentrations

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