scholarly journals Serum uromodulin is inversely associated with the metabolic syndrome in the KORA F4 study

2019 ◽  
Vol 8 (10) ◽  
pp. 1363-1371 ◽  
Author(s):  
Cornelia Then ◽  
Holger Then ◽  
Andreas Lechner ◽  
Cornelia Huth ◽  
Christa Meisinger ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Glomerular Filtration ◽  
High Sensitivity ◽  
Population Based ◽  
Thick Ascending Limb ◽  
Logistic Regression Models ◽  
Reactive Protein ◽  
The Metabolic Syndrome ◽  
New Onset

Objective Metabolic syndrome and obesity are risk factors for chronic kidney disease. However, early kidney alterations may escape diagnosis in these conditions due to glomerular hyperfiltration. Uromodulin, a glycoprotein exclusively synthesized in tubular cells of the thick ascending limb of Henle's loop, is a novel tissue-specific biomarker for kidney function. In contrast to the commonly used markers creatinine and cystatin C, serum uromodulin does not primarily depend on glomerular filtration. We hypothesized that serum uromodulin is a marker for metabolic syndrome and related components. Design The analyses included 1088 participants of the population-based KORA F4 study aged 62–81 years. Metabolic syndrome was present in 554 participants. After a mean follow-up time of 6.5 years, 621 participants were reevaluated, of which 92 had developed incident metabolic syndrome. Methods The association of serum uromodulin with metabolic syndrome and its components were assessed using multivariable logistic regression models. Results Serum uromodulin was inversely associated with metabolic syndrome after adjustment for sex, age, estimated glomerular filtration rate, physical activity, smoking, alcohol consumption and high-sensitivity C-reactive protein (OR 0.65; 95% CI 0.56–0.76 per standard deviation uromodulin; P < 0.001). Serum uromodulin was inversely associated with all single components of metabolic syndrome. However, serum uromodulin was not associated with new-onset metabolic syndrome after the follow-up period of 6.5 ± 0.3 years (OR 1.18; 95% CI 0.86–1.60). Conclusions Serum uromodulin is independently associated with prevalent, but not with incident metabolic syndrome. Low serum uromodulin may indicate a decreased renal reserve in the metabolic syndrome.

scholarly journals Association of C-Reactive Protein, Interleukin-1 Receptor Antagonist and Adiponectin with the Metabolic Syndrome

2007 ◽  
Vol 2007 ◽  
pp. 1-8 ◽  
Author(s):  
Juha Saltevo ◽  
Mauno Vanhala ◽  
Hannu Kautiainen ◽  
Esko Kumpusalo ◽  
Markku Laakso
Keyword(s):  
Metabolic Syndrome ◽  
Receptor Antagonist ◽  
Interleukin 1 ◽  
High Sensitivity ◽  
Population Based ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Interleukin 1 Receptor Antagonist ◽  
The Metabolic Syndrome ◽  
Hs Crp

This Finnish population-based study, mean age 46 years, evaluates the association of high-sensitivity C-reactive protein (hs-CRP), interleukin-1 receptor antagonist (IL-1Ra), and adiponectin with the NCEP and IDF definitions of metabolic syndrome (MetS). Adiponectin levels were higher, hs-CRP and IL-1Ra levels lower in subjects without MetS compared to subjects with MetS. If MetS was present according to both IDF and NCEP criteria, BMI, waist, triglycerides, hs-CRP, and IL-1Ra were significantly higher compared to subjects who had MetS according to either only IDF or only NCEP criteria. The hs-CRP, IL-1Ra, and adiponectin linearly correlated with the number of the components of MetS according to both definitions. Decreased levels of adiponectin and increased levels of hs-CRP and IL-1Ra are tightly associated with the components of MetS. Individuals who had MetS according to both criteria had the most adverse changes in cardiovascular risk factors.

scholarly journals Mood disorders and circulating levels of inflammatory markers in a longitudinal population-based study

2017 ◽  
Vol 48 (6) ◽  
pp. 961-973 ◽  
Author(s):  
J. Glaus ◽  
R. von Känel ◽  
A. M. Lasserre ◽  
M.-P. F. Strippoli ◽  
C. L. Vandeleur ◽  
...  
Keyword(s):  
Mood Disorders ◽  
Inflammatory Markers ◽  
Depressive Disorders ◽  
High Sensitivity ◽  
Population Based ◽  
Future Research ◽  
Low Grade ◽  
Logistic Regression Models ◽  
Reactive Protein

BackgroundThere has been increasing evidence that chronic low-grade inflammation is associated with mood disorders. However, the findings have been inconsistent because of heterogeneity across studies and methodological limitations. Our aim is to prospectively evaluate the bi-directional associations between inflammatory markers including interleukin (IL)-6, tumor necrosis factor (TNF)-α and high sensitivity C-reactive protein (hsCRP) with mood disorders.MethodsThe sample consisted of 3118 participants (53.7% women; mean age: 51.0, s.d. 8.8 years), randomly selected from the general population, who underwent comprehensive somatic and psychiatric evaluations at baseline and follow-up (mean follow-up duration = 5.5 years, s.d. 0.6). Current and remitted mood disorders including bipolar and major depressive disorders (MDD) and its subtypes (atypical, melancholic, combined atypical and melancholic, and unspecified) were based on semi-structured diagnostic interviews. Inflammatory biomarkers were analyzed in fasting blood samples. Associations were tested by multiple linear and logistic regression models.ResultsCurrent combined MDD [β = 0.29, 95% confidence interval (CI) 0.03–0.55] and current atypical MDD (β = 0.32, 95% CI 0.10–0.55) at baseline were associated with increased levels of hsCRP at follow-up. There was little evidence for inflammation markers at baseline predicting mood disorders at follow-up.ConclusionsThe prospective unidirectional association between current MDD subtype with atypical features and hsCRP levels at follow-up suggests that inflammation may be a consequence of this condition. The role of inflammation, particularly hsCRP that is critically involved in cardiovascular diseases, warrants further study. Future research that examines potential influences of medications on inflammatory processes is indicated.

scholarly journals Dietary and lifestyle inflammatory scores are associated with increased risk of metabolic syndrome in Iranian adults

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Hossein Farhadnejad ◽  
Karim Parastouei ◽  
Hosein Rostami ◽  
Parvin Mirmiran ◽  
Fereidoun Azizi
Keyword(s):  
Metabolic Syndrome ◽  
Positive Association ◽  
Population Based ◽  
Population Based Study ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
Confounding Variables ◽  
Adjusted Model ◽  
Diet And Lifestyle

Abstract Background In the current study, we aimed to investigate the association of dietary inflammation scores (DIS) and lifestyle inflammation scores (LIS) with the risk of metabolic syndrome (MetS) in a prospective population-based study. Methods A total of 1625 participants without MetS were recruited from among participants of the Tehran Lipid and Glucose Study(2006–2008) and followed a mean of 6.1 years. Dietary data of subjects were collected using a food frequency questionnaire at baseline to determine LIS and DIS. Multivariable logistic regression models, were used to calculate the odds ratio (ORs) and 95 % confidence interval (CI) of MetS across tertiles of DIS and LIS. Results Mean ± SD age of individuals (45.8 % men) was 37.5 ± 13.4 years. Median (25–75 interquartile range) DIS and LIS for all participants was 0.80 (− 2.94, 3.64) and 0.48 (− 0.18, − 0.89), respectively. During the study follow-up, 291 (17.9 %) new cases of MetS were identified. Based on the age and sex-adjusted model, a positive association was found between LIS (OR = 7.56; 95% CI 5.10–11.22, P for trend < 0.001) and risk of MetS, however, the association of DIS and risk of MetS development was not statistically significant (OR = 1.30;95% CI 0.93–1.80, P for trend = 0.127). In the multivariable model, after adjustment for confounding variables, including age, sex, body mass index, physical activity, smoking, and energy intake, the risk of MetS is increased across tertiles of DIS (OR = 1.59; 95% CI 1.09–2.33, P for trend = 0.015) and LIS(OR = 8.38; 95% CI 5.51–12.7, P for trend < 0.001). Conclusions The findings of the current study showed that greater adherence to LIS and DIS, determined to indicate the inflammatory potential of diet and lifestyle, are associated with increased the risk of MetS.

scholarly journals Correlation of Ferritin and Transferrin Serum with hsCRP and F2-Isoprostane in Metabolic Syndrome

2010 ◽  
Vol 2 (3) ◽  
pp. 131
Author(s):  
Waode Nurfina ◽  
Irawan Yusuf ◽  
Mansyur Arif
Keyword(s):  
Oxidative Stress ◽  
Metabolic Syndrome ◽  
Iron Status ◽  
High Sensitivity ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
The Metabolic Syndrome ◽  
Metabolic Conditions ◽  
Inflammatory State ◽  
And Oxidative Stress

BACKGROUND: The low inflammatory state that accompanies the Metabolic Syndrome (MetS) associates with the overexpression of oxidative stress. Ferritin and Transferrin serum are often used to measure iron status and their concentrations are altered in several metabolic conditions. We hypothesized that concentration of Ferritin and Transferrin serum increase in Metabolic Syndrome (MetS) and correlate with the inflammation and oxidative stress.METHODS: We studied 65 male MetS patients, aged 43.26±7.16 years. Iron metabolism was measured by concentration of Ferritin and Transferrin serums, while inflammatory and oxidative stress by high sensitivity C-reactive Protein (hsCRP) and F2-Isoprostane.RESULTS: Concentration of Ferritin 315.70±188.63 ng/L and Transferrin 2.36±0.31 g/L increased along with increasing components of MetS. Concentration of Ferritin serum had a positive correlation with hsCRP (r=0.220) and F2-Isoprostane (r=0.023).CONCLUSION: Serum concentration of Ferritin increased in the MetS and correlates with hsCRP and F2-Isoprostane.KEYWORDS: metabolic syndrome, ferritin, transferrin, hsCRP, F2-isoprostane

scholarly journals A prospective follow-up study of the relationship between high-sensitivity C-reactive protein and primary liver cancer

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Sarah Tan Siyin ◽  
Tong Liu ◽  
Wenqiang Li ◽  
Nan Yao ◽  
Guoshuai Xu ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Regression Models ◽  
Primary Liver Cancer ◽  
High Sensitivity ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Hs Crp ◽  
The Relationship ◽  
New Onset

Abstract Background Competing risk method has not been used in a large-scale prospective study to investigate whether increased levels of high-sensitivity C-reactive protein (hs-CRP) elevate the risk of primary liver cancer (PLC). Our study aims to prospectively investigate the relationship between hs-CRP and new-onset PLC. Methods and results Ninety-five thousand seven hundred fifty-nine participants without the diagnosis of PLC, and who had their demographic characteristics and biochemical parameters recorded, were analyzed from the Kailuan Cohort study. Cox proportional hazards regression models and competing risk regression models were used to evaluate the hazard ratios (HRs) and 95% confidence intervals (95% CIs) of PLC. During a median follow-up of 11.07 years, 357 incidental PLC cases were identified over a total of 1,035,039 person-years. The multivariable HRs (95%CI) for the association of hs-CRP of 1–3 mg/L group and hs-CRP>3 mg/L with PLC were 1.07(0.82 ~ 1.38), 1.51(1.15 ~ 1.98) in a Cox proportional hazard regression analysis adjusted for other potential confounders. In the cause-specific hazard model, the multivariable HRs (95%CI) for the association of hs-CRP of 1–3 mg/L group and hs-CRP>3 mg/L with PLC were 1.06(0.81 ~ 1.40), 1.50(1.14 ~ 1.99). Similar results were also observed in the sub-distribution hazard function model with corresponding multivariate HRs (95%CI) of 1.05(0.80 ~ 1.40), 1.49(1.13 ~ 1.98) in hs-CRP of 1–3 mg/L group and hs-CRP>3 mg/L group, respectively. Conclusions This prospective study found a significant association of higher levels of hs-CRP with new-onset PLC. The main clinical implications would be an increased awareness of hs-CRP and its correlation to the risk of PLC. This study should be a steppingstone to further research on chronic inflammation and PLC. Trial registration Registration number:ChiCTR–TNRC–11001489.

scholarly journals Poor breakfast habits in adolescence predict the metabolic syndrome in adulthood

2014 ◽  
Vol 18 (1) ◽  
pp. 122-129 ◽  
Author(s):  
Maria Wennberg ◽  
Per E Gustafsson ◽  
Patrik Wennberg ◽  
Anne Hammarström
Keyword(s):  
Metabolic Syndrome ◽  
Central Obesity ◽  
Fasting Glucose ◽  
International Diabetes Federation ◽  
Population Based ◽  
The Metabolic Syndrome ◽  
High Fasting Glucose ◽  
The Relationship ◽  
Metabolic Syndrome Components

AbstractObjectiveTo analyse whether poor breakfast habits in adolescence predict the metabolic syndrome and its components in adulthood. Previous studies suggest that regular breakfast consumption improves metabolic parameters.DesignProspective. Breakfast habits and other lifestyle variables at age 16 years were assessed from questionnaires. Poor breakfast habits were defined as skipping breakfast or only drinking or eating something sweet. At age 43 years, the effective sample consisted of 889 participants defined as having the metabolic syndrome or not, using the International Diabetes Federation criteria. Logistic regression was used to calculate odds ratios and confidence intervals.SettingThe Northern Swedish Cohort, a longitudinal population-based cohort with 27-year follow-up.SubjectsAdolescents (age 16 years).ResultsPrevalence of the metabolic syndrome at age 43 years was 27·0 %. Of the participants, 9·9 % were classified with poor breakfast habits at age 16 years. Adjusted odds for the metabolic syndrome at age 43 years was OR = 1·68 (95 % CI 1·01, 2·78) for those with poor breakfast habits at age 16 years compared with breakfast eaters. Looking at the metabolic syndrome components, poor breakfast habits at age 16 years were associated with central obesity (OR = 1·71; 95 % CI 1·00, 2·92) and high fasting glucose (OR = 1·75; 95 % CI 1·01, 3·02) at age 43 years, even after multivariate adjustments.ConclusionsPoor breakfast habits in adolescence predicted the metabolic syndrome in adulthood. Of the metabolic syndrome components, poor breakfast habits in adolescence predicted central obesity and high fasting glucose in adulthood. Further research is needed to fully understand the relationship between early breakfast habits and adult metabolic syndrome.

Relationship Between Metabolic Syndrome Severity and Kidney Function as Related to Gender: A Population-Based Longitudinal Study

2018 ◽  
Vol 29 (6) ◽  
pp. 355-362 ◽  
Author(s):  
Sheng-Pyng Chen ◽  
Chi-Rong Li ◽  
Huan-Cheng Chang ◽  
Yu-Ling Li ◽  
Hsiang-Chu Pai
Keyword(s):  
Metabolic Syndrome ◽  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Kidney Function ◽  
Filtration Rate ◽  
Estimated Glomerular Filtration Rate ◽  
Population Based ◽  
Health Examination ◽  
Z Score ◽  
The Metabolic Syndrome

The purpose of this study was to explore the relationship between the metabolic syndrome severity Z-score and kidney function by gender. We also examined the estimated glomerular filtration rate in relation to other known risk factors. The study used was a population-based prospective longitudinal research design. A total of 4,838 participants (2,683 females and 2,155 males) included individuals aged >30 years who were undergoing a health examination from 2006 to 2014 in Pingzhen City, Taiwan. In the initial generalized estimated equation model analysis, which included the covariates of age of first visit, period between the first and current visit, and metabolic syndrome severity Z-score, the results indicated that the interaction between age and metabolic syndrome severity Z-score is significantly related to the estimated glomerular filtration rate for males ( p = .040). For females, the interaction between age and metabolic syndrome severity Z-score was not significant, but a higher metabolic syndrome severity Z-score was significantly associated with lower estimated glomerular filtration rate ( p = .001). After controlling for the confounders, unhealthy behaviors, and comorbidities, the metabolic syndrome severity Z-score was still a negative predictor of estimated glomerular filtration rate in both the male ( p = .005) and female ( p = .023) models.

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