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      Cytokines and body adiposity in young female undergraduate students Translated title: Citoquinas y adiposidad corporal en estudiantes universitarias jóvenes

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          Abstract

          Abstract Objective: to identify cytokines and to associate them with several indexes of total and central adiposity in young female undergraduate students. Methods: 58 young female sophomore students, aged 18 to 25 years, from a Brazilian public university were evaluated. Both anthropometric measures (weight, height, waist circumference and hip circumference) and body composition were assessed through DXA, and the values of android, gynoid and truncal fat mass were obtained. Cytokines (IL-8, IL-1β, IL-6, IL-10 e TNF-α) were analyzed, and Body Mass Index (BMI), Body Adiposity Index (BAI), Visceral Adiposity Index (VAI), Conicity Index (CCI), Waist-Hip Index (WHR), Waist-to-Height Ratio (WHtR), Fat Mass Distribution Index 1 (FMI1) and Fat Mass Distribution Index 2 (FMI2) were calculated. Eventually, a linear regression was carried out to determine the regression coefficient and confidence interval (CI), having the predictor variables (cytokines) adjusted according to age and family history of obesity. The statistical significance of α = 5 % was applied. Results: a correlation between adiposity indexes and cytokines (CCI, WHR and IL-12; CCI, WHR, FMI1, FMI2and TNF-α) was identified. When it comes to the regression models, cytokines increase was related to CCI, WHR, FMI1 and FMI2 increase. Conclusion: pro-inflammatory cytokines were associated with an increase in adipose indexes. Therefore, these indexes became a feasible strategy for clinical practice in order to identify propensity to inflammatory disorders.

          Translated abstract

          Resumen Objetivo: identificar citoquinas y asociarlas con los distintos índices de adiposidad total y central en estudiantes universitarias jóvenes. Métodos: se evaluaron 58 jóvenes estudiantes, de 18 a 25 años de edad, de segundo curso de carrera de una universidad pública brasileña. Se analizaron mediante densitometría (DEXA) tanto las medidas antropométricas (peso, talla, perímetro de la cintura y perímetro de la cadera) como la composición corporal, obteniéndose los valores de masa grasa androide, ginoide y troncal. Se analizaron las citoquinas (IL-8, IL-1β, IL-6, IL-10 y TNF-α) y se calcularon el índice de masa corporal (IMC), el índice de adiposidad corporal (IAC), el índice de adiposidad visceral (IAV), el índice de conicidad (CCI), el índice cintura-cadera (WHR), la ratio cintura-talla (WHtR), el índice de distribución de la masa grasa 1 (FMI1) y el índice de distribución de la masa grasa 2 (FMI2). Finalmente se realizó una regresión lineal para determinar el coeficiente de regresión y el intervalo de confianza (IC), ajustando las variables predictivas (citoquinas) a la edad y los antecedentes familiares de obesidad. Se aplicó una significación estadística de α = 5 %. Resultados: se detectó una correlación entre índices adiposos y citoquinas (CCI, WHR e IL-12; CCI, WHR, FMI1, FMI2 and TNF-α). Conforme a los modelos de regresión, el aumento de las citoquinas se relacionó con el aumento de CCI, WHR, FMI1 y FMI2. Conclusión: las citoquinas proinflamatorias se asociaron al aumento de los índices adiposos. Por tanto, los índices se convierten en una estrategia factible para detectar la propensión hacia los trastornos inflamatorios en la práctica clínica.

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          Adipose tissue, adipokines, and inflammation.

          White adipose tissue is no longer considered an inert tissue mainly devoted to energy storage but is emerging as an active participant in regulating physiologic and pathologic processes, including immunity and inflammation. Macrophages are components of adipose tissue and actively participate in its activities. Furthermore, cross-talk between lymphocytes and adipocytes can lead to immune regulation. Adipose tissue produces and releases a variety of proinflammatory and anti-inflammatory factors, including the adipokines leptin, adiponectin, resistin, and visfatin, as well as cytokines and chemokines, such as TNF-alpha, IL-6, monocyte chemoattractant protein 1, and others. Proinflammatory molecules produced by adipose tissue have been implicated as active participants in the development of insulin resistance and the increased risk of cardiovascular disease associated with obesity. In contrast, reduced leptin levels might predispose to increased susceptibility to infection caused by reduced T-cell responses in malnourished individuals. Altered adipokine levels have been observed in a variety of inflammatory conditions, although their pathogenic role has not been completely clarified.
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            New IL-12-family members: IL-23 and IL-27, cytokines with divergent functions.

            Understanding the factors that influence T helper 1 (T(H)1)- and T(H)2-cell responses has been one of the main focuses of immunology for almost 20 years. Whereas the central role of interleukin-12 (IL-12) in the generation of T(H)1 cells has long been appreciated, subsequent studies indicated that IL-23 and IL-27, two cytokines that are closely related to IL-12, also regulate T(H)1-cell responses. However, as discussed in this article, it is now recognized that the ability of IL-23 to stimulate a unique T-cell subset to produce IL-17 has a dominant role in autoimmune inflammation. By contrast, IL-27 has a role in limiting the intensity and duration of adaptive immune responses.
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              A consideration of biomarkers to be used for evaluation of inflammation in human nutritional studies.

              To monitor inflammation in a meaningful way, the markers used must be valid: they must reflect the inflammatory process under study and they must be predictive of future health status. In 2009, the Nutrition and Immunity Task Force of the International Life Sciences Institute, European Branch, organized an expert group to attempt to identify robust and predictive markers, or patterns or clusters of markers, which can be used to assess inflammation in human nutrition studies in the general population. Inflammation is a normal process and there are a number of cells and mediators involved. These markers are involved in, or are produced as a result of, the inflammatory process irrespective of its trigger and its location and are common to all inflammatory situations. Currently, there is no consensus as to which markers of inflammation best represent low-grade inflammation or differentiate between acute and chronic inflammation or between the various phases of inflammatory responses. There are a number of modifying factors that affect the concentration of an inflammatory marker at a given time, including age, diet and body fatness, among others. Measuring the concentration of inflammatory markers in the bloodstream under basal conditions is probably less informative compared with data related to the concentration change in response to a challenge. A number of inflammatory challenges have been described. However, many of these challenges are poorly standardised. Patterns and clusters may be important as robust biomarkers of inflammation. Therefore, it is likely that a combination of multiple inflammatory markers and integrated readouts based upon kinetic analysis following defined challenges will be the most informative biomarker of inflammation.
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                Author and article information

                Journal
                nh
                Nutrición Hospitalaria
                Nutr. Hosp.
                Grupo Arán (Madrid, Madrid, Spain )
                0212-1611
                1699-5198
                April 2020
                : 37
                : 2
                : 299-305
                Affiliations
                [1] Minas Gerais orgnameUniversidade Federal de Viçosa orgdiv1Department of Nutrition and Health Brazil
                Article
                S0212-16112020000300011 S0212-1611(20)03700200011
                10.20960/nh.02860
                3f49a57a-07a2-4d1c-b6c0-629eb9220030

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

                History
                : 20 October 2019
                : 09 September 2019
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 40, Pages: 7
                Product

                SciELO Spain

                Categories
                Original Papers

                Anthropometry,Mujeres,Antropometría,DEXA,Grasa corporal,Women,DXA,Body fat

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