scholarly journals Association of metabolic syndrome traits with urinary biomarkers in Japanese adults

2022 ◽  
Vol 14 (1) ◽  
Author(s):  
Keiko Kabasawa ◽  
Michihiro Hosojima ◽  
Yumi Ito ◽  
Kazuo Matsushima ◽  
Junta Tanaka ◽  
...  

Abstract Background Although metabolic syndrome traits are risk factors for chronic kidney disease, few studies have examined their association with urinary biomarkers. Methods Urinary biomarkers, including A-megalin, C-megalin, podocalyxin, albumin, α1-microglobulin, β2-microglobulin, and N-acetyl-β-D-glucosaminidase, were cross-sectionally assessed in 347 individuals (52.7% men) with a urine albumin-to-creatinine ratio (ACR)  < 300 mg/g in a health checkup. Metabolic syndrome traits were adopted from the National Cholesterol Education Program (third revision) of the Adult Treatment Panel criteria modified for Asians. Results Participants had a mean body mass index, estimated glomerular filtration rate (eGFR), and median ACR of 23.0 kg/m2, 74.8 mL/min/1.73 m2, and 7.5 mg/g, respectively. In age- and sex-adjusted logistic regression analysis, A-megalin and albumin were significantly associated with the clustering number of metabolic syndrome traits (3 or more). After further adjustment with eGFR, higher quartiles of A-megalin and albumin were each independently associated with the clustering number of metabolic syndrome traits (adjusted odds ratio for A-megalin: 1.30 per quartile, 95% CI 1.03–1.64; albumin: 1.42 per quartile, 95% CI 1.12–1.79). Conclusions Both urinary A-megalin and albumin are associated with the clustering number of metabolic syndrome traits. Further research on urinary A-megalin is warranted to examine its role as a potential marker of kidney damage from metabolic risk factors.

2010 ◽  
Vol 30 (10) ◽  
pp. 1445-1453 ◽  
Author(s):  
A Gupta ◽  
V Gupta ◽  
AK Singh ◽  
S Tiwari ◽  
S Agrawal ◽  
...  

The present investigations were aimed to identify the possible association between genetic polymorphism in interleukin-6 (IL-6) G-174C gene, which confers susceptibility to metabolic syndrome, and serum level of resistin in North Indian women. The study population comprised 370 unrelated Indian women (192 having abdominal obesity and 178 controls). Polymorphism in genotype (CC+GC) of IL-6 G-174C gene was determined using a combination of polymerase chain reaction (PCR) and sequence-specific primer with restriction fragment length polymorphism (RFLP) technology. Insulin resistance (IR) and serum resistin level were also analyzed along with metabolic risk factors. Of 192 abdominal obese women, 147 (76.56%) were found to have mutant CC+GC ( p = 0.001) genotype and allele frequency ( p = 0.001), which was significantly higher 45 (23.44%) than non-obese and their respective wild type. The mutant genotype (CC+GC) of IL-6 gene was found to be associated significantly with high triglyceride ( p = 0.025) and resistin level ( p < 0.001), when compared with respective wild genotype (GG) in obese women. Non-obese women with no signs of metabolic risk factors were found to have significantly low level of serum resistin and IR in comparison to obese women having genetic polymorphism for IL-6 G-174C gene. Study suggests that IL-6 G-174C gene is one among the susceptibility loci for metabolic syndrome in North Indian women. Genotype for this polymorphism may prove informative for prediction of genetic risk for metabolic syndrome. Further, high level of serum resistin molecules may be targeted to correlate with metabolic syndrome risk factors and could be used as early prediction marker.


2019 ◽  
Vol 31 (2) ◽  
pp. 105-110

Metabolic syndrome is a cluster of risk factors for type 2 diabetes and cardiovascular disease, with insulin resistance proposed as a linking factor. It is common and is increasing in prevalence worldwide, largely attributed to increasing obesity and sedentary lifestyles, and now is both a public health and clinical problem. This community-based, cross-sectional descriptive study was conducted during 2015 to identify metabolic risk factors and associated morbidities among adult urban people in Pyin Oo Lwin Township. A total of 355 participants, 94 men (26.5%) and 261 women (73.5%) were enrolled. Age distribution was from 18 to 85 years with mean of 49.98 (SD:15.22) years. Metabolic risk factors were identified according to National Cholesterol Education Programme Adult Treatment Panel III (NCEP ATP III) guideline. In this study, central obesity was the highest component with 145 subjects (40.8%) followed by elevated triglycerides 129(36. 3%), elevated blood pressure 104(29.3%), low HDL-cholesterols 85(23.9%), and elevated fasting glucose in only 48 individuals (13.5%). The total prevalence of metabolic syndrome was 35.2% with 26.6% in men and 38.3% in women, respectively. There were statistically significant associations above all five metabolic risk factors with metabolic syndrome (p value <0.001). Regarding its associated morbidities, ECG examinations showed normal 296 cases (83.4%) and abnormal in 59 cases (16.6%) but there was no significant difference between metabolic syndrome and abnormal ECG findings. In conclusion, this study recognizes the high prevalence rate of metabolic syndrome and can be depicted about the metabolic risks as the baseline data for implementation of further activities to reduce the incidence of non-communicable diseases.


2021 ◽  
Author(s):  
Mohammadhosain Afrand ◽  
Mohammad Afkhami-Ardekani ◽  
Ahmad Shojaoddiny-Ardekani ◽  
Azita Ariaeinejad

Metabolic syndrome is defined as the co-occurrence of metabolic risk factors for both type 2 diabetes and cardiovascular disease (i.e. abdominal obesity, hyperglycemia, dyslipidemia, and hypertension). Indeed, metabolic syndrome is an important risk factor for subsequent development of type 2 diabetes and/or CVD. Thus, the key clinical implication of a diagnosis of metabolic syndrome is the identification of a patient who needs aggressive lifestyle modification focused on weight reduction and increased physical activity. Multiple different phenotypes and ethnic-specific values for waist circumference are included within metabolic syndrome, with indications for differing treatment strategies. This book covers several aspects of metabolic syndrome, including its definition, diagnostic criteria, preventive measures, and treatment, as well as the possible association between ethnicity and the occurrence of metabolic syndrome.


2018 ◽  
Vol 50 (5S) ◽  
pp. 358
Author(s):  
Nicole L. Koontz ◽  
Mary T. Imboden ◽  
Elizabeth P. Kelley ◽  
Matthew P. Harber ◽  
Holmes W. Finch ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Na Yeong Lee ◽  
Kyungdo Han ◽  
Yoonji Lee ◽  
Seulki Kim ◽  
Seonhwa Lee ◽  
...  

Background. Little information is available on the association between parents’ metabolic syndrome (MetS) and adolescent offspring’s obesity in Korea. The aim of our study is to determine the association between parent’s metabolic syndrome and offspring’s obesity. Methods. The study data were obtained from the Korean National Health and Nutrition Examination Survey conducted during 2009–2016. In the present study, 3140 adolescents aged 12 to 18 years, their paternal pairs (PP, fathers = 2244), and maternal pairs (MP, mothers = 3022) were analyzed. Of these 3140 adolescents, 2637 had normal weight {age- and sex-specific body mass index (BMI) under the 85th percentile}, whereas 467 were overweight (age- and sex-specific BMI over the 85th percentile). Results. Offspring’s overweight and central obesity were associated with all components of the PP’s metabolic risk factors, including central obesity ( p < 0.001 ), systolic ( p < 0.001 ) and diastolic blood pressure ( p < 0.001 ), glucose intolerance ( p < 0.001 ), and triglyceride ( p < 0.002 ) and high-density lipoprotein levels ( p = 0.049 ). In addition, offspring’s overweight and central obesity were also associated with the metabolic risk factors of MP, including central obesity ( p < 0.001 ), systolic ( p < 0.001 ) and diastolic blood pressure ( p < 0.001 ), glucose intolerance ( p < 0.001 ), and triglyceride levels ( p < 0.001 ). In multivariate logistic regression analysis, offspring’s overweight was significantly and positively associated with parental central obesity (PP, adjusted odds ratio (OR) = 1.593; 95% confidence interval (CI): 1.192–2.128; MP, adjusted OR = 2.221, 95% CI: 1.755–2.812) and parental metabolic syndrome (PP, adjusted OR = 2.032; 95% CI: 1.451–2.846; MP, adjusted OR = 2.972, 95% CI: 2.239–3.964). As the number of parental metabolic risk factors increased, offspring’s risk for overweight and central obesity increased ( p for trends < 0.001). Conclusion. Parental metabolic syndrome was associated with obesity in 12- to 18-year-old offspring in Korea.


2017 ◽  
Vol 3 (2_suppl) ◽  
pp. 10s-11s ◽  
Author(s):  
Alvaro Rivera-Andrade ◽  
Maria Fernanda Kroker-Lobos ◽  
Mariana Lazo ◽  
Neal Freedman ◽  
John Groopman ◽  
...  

Abstract 13 Background: The proportion of liver cancer (LC) that is linked to metabolic risk factors has been increasing in many countries. Guatemala has the highest reported incidence of LC in the Americas, 1 but the prevalence of metabolic risk factors is not clear. We undertook this work to examine the prevalence of metabolic risk factors for LC in Guatemala by sex and residence. Methods: We conducted a cross-sectional study of 461 adults older than 40 years who resided in rural and urban areas. Risk factors were defined by using physical exam and laboratory data, including anthropometry, blood pressure, fasting plasma glucose, serum liver enzymes, and lipids. Fatty liver disease (FLD) was defined as a fatty liver index score of > 60 and liver fibrosis (LF) as defined by a FIB-4 score of > 2.67. 2 , 3 Results: Among participants, 66% resided in rural areas and 57% were women. Mean ages of men and women were 58.0 ± 11.3 and 53.4 ± 9.8 years, respectively. Compared with men, women had higher prevalence of obesity (15% v 41%; P ≤ .001), metabolic syndrome (46% v 74%; P < .001), and FLD (67% v 52%; P < .001), but not LF (6% v 4%; P = .238). Compared with men and women from rural areas, those from urban areas had higher prevalence of diabetes (10% v 27%; P = .002; and 14% v 32%; P < .001) FLD (42% v 67%; P < .001; and 59% v 79%; P < .001), and metabolic syndrome (37% v 58%; P = .005; and 69% v 81%; P = .032), respectively. There was no difference in prevalence of LF by area among either men (6% v 6%; P = .86) or women (3% v 4%; P = .75). Conclusion: This study highlights a high prevalence of metabolic risk factors for LC in Guatemala, especially among women in urban areas. AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST Alvaro Rivera-Andrade No relationship to disclose Maria Fernanda Kroker-Lobos No relationship to disclose Mariana Lazo No relationship to disclose Neal Freedman No relationship to disclose John Groopman No relationship to disclose Eliseo Guallar No relationship to disclose Carlos Mendoza-Montano No relationship to disclose Katherine McGlynn No relationship to disclose Josh Smith Research Funding: Abbott Nutrition Manuel Ramirez-Zea No relationship to disclose


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