Association of interleukin-6 polymorphisms with obesity: A systematic review and meta-analysis

Gholami, Morteza; Sharifi, Farshad; Shahriari, Shadab; Khoshnevisan, Kamyar; Larijani, Bagher; Amoli, Mahsa M.

doi:10.1016/j.cyto.2019.154769

Cited by 26 publications

(20 citation statements)

References 51 publications

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“…While low serum adiponectin levels have been associated with central obesity, insulin resistance, metabolic syndrome, and type 2 diabetes, ADIPOQ (rs16861209) has been significantly associated with elevated fasting serum adiponectin levels [37,38]. Similarly, although IL-6 significantly increases the risk of obesity, in the PREDIMED trial carriers of the rs1800795 showed greater weight loss with the Mediterranean diet with supplements of olive oil compared to a Mediterranean diet low-fat diet than heterozygous and non-carrier carriers after 3 years of intervention [39,40]. In addition, PPARG (rs1801282) was associated not only with short-term (6-month) and long-term (2-year) weight loss but also with weight regain in the Diabetes Prevention Program [41].…”

Section: Discussionmentioning

confidence: 99%

A Clinical-Genetic Score for Predicting Weight Loss after Bariatric Surgery: The OBEGEN Study

Ciudin

Fidilio

Gutiérrez-Carrasquilla

et al. 2021

JPM

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Around 30% of the patients that undergo bariatric surgery (BS) do not reach an appropriate weight loss. The OBEGEN study aimed to assess the added value of genetic testing to clinical variables in predicting weight loss after BS. A multicenter, retrospective, longitudinal, and observational study including 416 patients who underwent BS was conducted (Clinical.Trials.gov- NCT02405949). 50 single nucleotide polymorphisms (SNPs) from 39 genes were examined. Receiver Operating Characteristic (ROC) curve analysis were used to calculate sensitivity and specificity. Satisfactory response to BS was defined as at nadir excess weight loss >50%. A good predictive model of response [area under ROC of 0.845 (95% CI 0.805–0.880), p < 0.001; sensitivity 90.1%, specificity 65.5%] was obtained by combining three clinical variables (age, type of surgery, presence diabetes) and nine SNPs located in ADIPOQ, MC4R, IL6, PPARG, INSIG2, CNR1, ELOVL6, PLIN1 and BDNF genes. This predictive model showed a significant higher area under ROC than the clinical score (p = 0.0186). The OBEGEN study shows the key role of combining clinical variables with genetic testing to increase the predictability of the weight loss response after BS. This finding will permit us to implement a personalized medicine which will be associated with a more cost-effective clinical practice.

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Section: Discussionmentioning

confidence: 99%

A Clinical-Genetic Score for Predicting Weight Loss after Bariatric Surgery: The OBEGEN Study

Ciudin

Fidilio

Gutiérrez-Carrasquilla

et al. 2021

JPM

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“…Heterogeneity is to be expected in a meta-analysis and assessment of heterogeneity. Thus, the proportion of between-study heterogeneity is one of the major concerns in meta-analysis because nonhomogeneous study has high possibility to mislead results (Gohari et al, 2019). Therefore, the assessment of heterogeneity is necessary, as high heterogeneity could be caused by the fact that there are actually two or more subgroups of studies present in the data, which have a different true effect.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, IL-6 is a multipotent cytokine that regulates immune and inflammatory responses (Aflatoonian et al, 2019b;Salimi et al, 2019;Sheikhpour et al, 2017). Moreover, IL-6 has been considered as a "metabolic hormone" which affects metabolism of glucose, protein and lipids (Gholami et al, 2019). The human IL-6 gene is localized to chromosome 7p21-24, consists of seven exons and spanning 12.8 kb (Salimi et al, 2019).…”

Section: Association Of Il-12b Rs3212227 and Il-6 Rs1800795mentioning

confidence: 99%

Association of IL-12B rs3212227 and IL-6 rs1800795 Polymorphisms with Susceptibility to Cervical Cancer: A Systematic Review and Meta-Analysis

Karimi-Zarchi¹,

Abbasi²,

Javaheri³

et al. 2020

Asian Pac J Cancer Prev

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Cervical cancer is the second most commonly diagnosed malignancy and third leading cause of cancer-related mortality among women in less developed countries (Karimi Zarchi et al., 2010; Mousavi et al., 2008). According to GLOBOCAN, cervical cancer accounts for 528,000 new cases and 266,000 deaths worldwide in 2012 (Parkin et al., 2005). Although, it has been widely accepted for several decades that Human papillomavirus (HPV) is the main risk factor for development of cervical cancer (Behtash et al., 2009; Farbod et al., 2019; Ghaemmaghami et al., 2008), HPV infections have developed to persistent infection in only a very few cases and it is sufficient to induce cervical cancer in an even smaller proportion

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“…The simple mechanism is an increased intake of energy-dense foods (abundant in fat and sugars) and a decrease in physical activity due to the sedentary nature of many forms of work, changing modes of transportation and increasing urbanization. However, it has been proven that more than 40% of variations in body mass index (BMI) are related to genetic factors [3]. One hypothesis claims that some populations may carry genes that determine increased fat storage, which may be beneficial for the periods of starvation, but in developed societies results rather in obesity and diabetes mellitus type 2 [4].…”

Section: Introductionmentioning

confidence: 99%

IL-6 Polymorphisms Are Not Related to Obesity Parameters in Physically Active Young Men

Maculewicz

Antkowiak

et al. 2021

Genes

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Interleukin 6 (IL-6) is a cytokine with both pro- and anti-inflammatory actions, but is also considered as a “metabolic hormone” involved in immune responses, affecting glucose, protein and lipid metabolism. It has been proposed to be related to obesity, but various results have been presented. Thus, in this study, the very homogenous population of young, male military professionals, living in the same conditions involving high physical activity, has been selected to avoid the influence of environmental factors. The subjects were divided into groups depending on the obesity parameters BMI (body mass index) and fat percentage (fat%), and the following IL-6 SNPs (Single Nucleotide Polymorphisms) were analyzed: rs1800795, rs1800796 and rs13306435. No relation was found between obesity parameters and IL-6 polymorphisms rs1800795, rs1800796 and rs13306435. It may be postulated that even if a genetic predisposition involves IL-6 genes, this effect in individuals with obesity of a low grade is minor, or can be avoided or at least markedly reduced by changes in lifestyle.

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Association of interleukin-6 polymorphisms with obesity: A systematic review and meta-analysis

Cited by 26 publications

References 51 publications

A Clinical-Genetic Score for Predicting Weight Loss after Bariatric Surgery: The OBEGEN Study

A Clinical-Genetic Score for Predicting Weight Loss after Bariatric Surgery: The OBEGEN Study

Association of IL-12B rs3212227 and IL-6 rs1800795 Polymorphisms with Susceptibility to Cervical Cancer: A Systematic Review and Meta-Analysis

IL-6 Polymorphisms Are Not Related to Obesity Parameters in Physically Active Young Men

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