Association of serum uric acid concentration with components of pediatric metabolic syndrome: A systematic review and meta-analysis

Goli, Parvin; Riahi, Roya; Daniali, Seyede Shahrbanoo; Pourmirzaei, Mohammadali; Kelishadi, Roya

doi:10.4103/jrms.jrms_733_19

Cited by 29 publications

(15 citation statements)

References 86 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We found that LTL was not associated with all the MetS components but part of them, which was in line with a previous study which also suggested an association between serum uric acid with some components of MetS. [ 29 ] Our results indicated that longer LTL was positively associated with MetS state, hypertriglyceridemia, particularly low levels of HDL-c in T2DM patients. Controversial studies showing the association between lipid profile (HDL-C, LDL, TGs, and cholesterol) with LTL have been published,[ 14 30 31 ] and some of them also showed the positive association between LTL with HDL-C, giving support to our findings.…”

Section: Discussionsupporting

confidence: 92%

Association of leukocyte telomere length with metabolic syndrome in type 2 diabetes mellitus

Peng

Huang

Xia

et al. 2021

Journal of Research in Medical Sciences

View full text Add to dashboard Cite

Background: Leukocyte telomere length (LTL) has been revealed to be associated with aging-related diseases such as metabolic syndrome (MetS) and Type 2 diabetes mellitus (T2DM). We aimed to investigate the correlation of LTL with MetS and its components in T2DM patients in this cross-sectional study. Materials and Methods: A total of 344 T2DM patients were enrolled into this study. LTL was measured by Southern blot-based terminal restriction fragment length analysis. MetS was clinically defined by 2007 Chinese Guidelines on Prevention and Treatment of Dyslipidemia in Adults. Results: Of 344 T2DM patients, 53% had MetS. T2DM patients with MetS had significantly longer LTL than those without MetS (6451.95 ± 51.10 base pairs vs. 6076.13 ± 55.13 base pairs, P < 0.001), especially when T2DM patients had poor glycemic control (hemoglobin A1c ≥7%). Meanwhile, the trend of longer LTL was associated with the increased components of MetS in T2DM patient. Finally, LTL had a significant association with MetS (odds ratio [OR]: 2.096, 95% confidence interval [CI] 1.337–3.285, P = 0.001), low levels of high-density lipoprotein-cholesterol (HDL-C) (OR: 2.412, 95% CI 1.350–4.308, P = 0.003) in T2DM patients. Conclusion: T2DM patients with MetS had a significantly longer LTL than those without MetS. The longer LTL was especially evident in T2DM patients with poor glycemic control. Longer LTL was positively associated with MetS, particularly low levels of HDL-C in T2DM patients.

show abstract

Section: Discussionsupporting

confidence: 92%

Association of leukocyte telomere length with metabolic syndrome in type 2 diabetes mellitus

Peng

Huang

Xia

et al. 2021

Journal of Research in Medical Sciences

View full text Add to dashboard Cite

show abstract

“…These findings suggest that uric acid, adiponectin, leptin, hsCRP, and apoB may be used in a screening setting for CCS, in addition to standard MetS criteria, in order to provide better diagnosis and prediction of MetS (risk). Systematic reviews in other populations have identified not only elevated leptin, 245 uric acid, 245 , 246 , 247 , 248 and low (HWM) adiponectin, 245 , 249 , 250 but also Il‐6 245 and TNF‐alpha 245 as potential MetS biomarkers.…”

Section: Discussionmentioning

confidence: 99%

Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review

et al. 2021

View full text Add to dashboard Cite

Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta-analysis on the diagnostic and predictive value of nine newer MetS related biomarkers (adiponectin, leptin, uric acid, hsCRP, TNF-alpha, IL-1, IL-6, apolipoprotein B (apoB), and lipoprotein(a) [lp(a)]) in survivors and adult non-cancer survivors was performed by searching PubMed and Embase. Evidence was summarized with GRADE after risk of bias evaluation (QUADAS-2/QUIPS). Eligible studies on promising biomarkers were pooled. We identified 175 general population and five CCS studies. In the general population, valuable predictive biomarkers are uric acid, adiponectin, hsCRP and apoB (high level of evidence), and leptin (moderate level of evidence). Valuable diagnostic biomarkers are hsCRP, adiponectin, uric acid, and leptin (low, low, moderate, and high level of evidence, respectively). Meta-analysis showed OR for hyperuricemia of 2.94 (age-/ sex-adjusted), OR per unit uric acid increase of 1.086 (unadjusted), and AUC for hsCRP of 0.71 (unadjusted). Uric acid, adiponectin, hsCRP, leptin, and apoB can be alternative biomarkers in the screening setting for MetS in survivors, to enhance early identification of those at high risk of subsequent complications.

show abstract

“…Sequentially, insulin resistance is thought to play a pivotal role in MetS. [ 12 ] Recent reports have revealed that raised uric acid may be a predictor for MetS in different individuals; however, the results of these studies are controversial. [ 13 ] We sought to determine the association between serum uric acid levels and MetS prevalence and incidence.…”

Section: Introductionmentioning

confidence: 99%

Incidence of metabolic syndrome and determinants of its progression in Southern Iran: A 5-year longitudinal follow-up study

et al. 2020

View full text Add to dashboard Cite

Background: Metabolic syndrome (MetS) is a cluster of conditions increasing the risk of serious diseases. This study aimed to define the predictors of MetS incident in a community-based cohort in Southern Iran, during a mean follow-up period of 5.1 years. Materials and Methods: During the mean follow-up period of 5.1 years, a cohort study was conducted on 819 Iranian adults aged ≥18 years at baseline and followed to determine the incidence and predictors of MetS progression in Shiraz, a main urban region in the southern part of Iran. The International Diabetes Federation Guideline was used to detect the MetS. Multiple Cox's proportional hazards models were also used to estimate the predictors of new-onset MetS. Results: The prevalence of MetS was 25.9% at baseline, and the overall incidence of subsequent MetS was 5.45% (95% confidence interval [CI]: 4.47–6.59). The incidence of MetS was significantly higher in women (7.12% [95% CI: 5.52–9.05]) than in men (3.92% [95% CI: 2.80–5.34]). Moreover, it increased by 5.02 (95% CI, 3.75–6.58) among individuals who had one metabolic component and by 12.65 (95% CI, 9.72–16.18) for those who had three or more components ( P < 0001). The incidence of MetS was also analyzed using the multiple Cox's proportional hazards model for potential risk factors, and it was revealed that female gender (hazard ratio [HR] 2.45; 95% CI: 1.33, 4.50; P = 0.004), higher body mass index (HR 3.13; 95% CI: 1.43.6.84; P = 0.012), increased abdominal obesity (HR 1.45; 95% CI 0.85, 2.46; P = 0.045), smoking (HR 4.79; 95% CI 2.09, 10.97; P < 0.001), and lower high-density lipoprotein (HR 0.53; 95% CI: 0.29, 1.00; P = 0.044) significantly predicted the onset of MetS at baseline; however, age, systolic and diastolic blood pressure, serum uric acid, fasting blood glucose, cholesterol, triglyceride and creatinine, estimated glomerular filtration rate, marital status, level of education, and level of physical activity did not independently predict the onset of MetS when other covariates were considered. Conclusion: This study showed the high-incidence rates of MetS in males and females residing in Southern Iran. Therefore, the prevention through community-based lifestyle modification should be implemented to reduce the burden of MetS and its complications.

show abstract

Association of serum uric acid concentration with components of pediatric metabolic syndrome: A systematic review and meta-analysis

Cited by 29 publications

References 86 publications

Association of leukocyte telomere length with metabolic syndrome in type 2 diabetes mellitus

Association of leukocyte telomere length with metabolic syndrome in type 2 diabetes mellitus

Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review

Incidence of metabolic syndrome and determinants of its progression in Southern Iran: A 5-year longitudinal follow-up study

Contact Info

Product

Resources

About