Association of the PGC-1α<i>rs</i>8192678 Variant with Microalbuminuria in Subjects with Type 2 Diabetes Mellitus

Prior, Sarah L.; Clark, Amy R.; Jones, Danielle; Baín, Steve; Hurel, SJ; Humphries, Steve E.; Stephens, Jeffrey W.

doi:10.1155/2012/416138

Cited by 11 publications

(9 citation statements)

References 42 publications

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“…Sakamoto et al [50] found YKL-40 levels were significantly elevated in type 1 diabetic patients than in healthy controls and demonstrated YKL-40 levels were a determinant of ACR independent of other risk factors. Prior et al [55] found a significant association between genotype (GG/GA/AA) and urinary albumin (normoalbumuria vs. micro/macroalbuminuria, p = 0.01). Mashima et al [56] single nucleotide polymorphisms (SNPs) in six proinflammatory cytokine genes IL-6 and CCL1 genes were associated with albuminuria and the combination of these genotypes had an additive effect on the prevalence and severity of albuminuria.…”

Section: Discussionmentioning

confidence: 99%

Asian Americans & chronic kidney disease in a nationally representative cohort

et al. 2019

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BackgroundThere is a paucity of specific data on early stages of chronic kidney disease (CKD) among Asian Americans (AAs). The objective of this study was to examine the independent association of Asian race/ethnicity and socio-demographic and co-morbidity factors with markers of early kidney damage, ascertained by ACR levels, as well as kidney dysfunction, ascertained by eGFR levels in a large cross-sectional sample of AAs enrolled in the National Health and Nutrition Examination Survey (NHANES).MethodsSecondary data analyses of the NHANES 2011–2014 data of a nationally representative sample of 5907 participants 18 years and older, US citizens, and of Asian and White race. NHANES data included race (Asian vs. White), as well as other socio-demographic information and comorbidities. Urine albumin-to-creatinine ratio (ACR) categories and estimated glomerular filtration rate (eGFR) were used as indicators for CKD. Descriptive analyses using frequencies, means (standard deviations), and chi-square tests was first conducted, then multivariable logistic regression serial adjustment models were used to examine the associations between race/ethnicity, other socio-demographic factors (age, sex, education), and co-morbidities (obesity, diabetes, hypertension) with elevated ACR levels (A2 & A3 – CKD Stages 3 and 4–5, respectively) as well as reduced eGFR (G3a-G5 and G3b –G5 - CKD Stage 3–5).ResultsAAs were more likely than White participants to have ACR levels > 300 mg/g (A3) (adjusted OR (aOR) (95% CI) 2.77 (1.55, 4.97), p = 0.001). In contrast, adjusted analyses demonstrated that AAs were less likely to have eGFR levels < 60 ml/min/1.73 m2 (G3a-G5) (aOR (95% CI) 0.50 (0.35, 0.72), p < .001).ConclusionsThis is one of the first large U.S. population-based studies of AAs that has shown a comparatively higher risk of elevated ACR > 300 mg/g levels (A3) but lower risk of having eGFR levels < 60 ml/min/1.732 m2 (G3a-G5). The findings support the need to address the gaps in knowledge regarding disparities in risk of early stage CKD among AAs.Electronic supplementary materialThe online version of this article (10.1186/s12882-018-1145-5) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Asian Americans & chronic kidney disease in a nationally representative cohort

et al. 2019

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“…Peroxisome proliferator-activated receptor γ coactivator 1α (PGC-1α), consists a transcriptional co-activator, which mainly regulates mitochondrial biogenesis and contributes to antioxidant defense mechanisms (Qi et al, 2015). Gly482Ser SNP has been associated with a decreased gene expression and a reduction in the activity of PCG-1α (Prior et al, 2012). ALS carriers of the Gly482Ser polymorphism show increased exercise-related oxidative stress, despite the lack of strong evidence of association between Gly482Ser and ALS (Pasquinelli et al, 2016).…”

Section: Sod1 Hfe Transferrin Gsts Pgc-1α and Nrf2mentioning

confidence: 99%

Genetic polymorphisms in amyotrophic lateral sclerosis: Evidence for implication in detoxification pathways of environmental toxicants

Dardiotis

Siokas

Sokratous

et al. 2018

Environment International

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Amyotrophic lateral sclerosis (ALS) is a severe neurodegenerative disease of the central nervous system, characterized by progressive loss of motor neurons, and occurring in both sporadic and familial form. The origin of the disease is unknown, though increasing evidence suggests that the interaction between genetic and environmental factors may increase susceptibility to ALS, including its sporadic form. Although genetic mutations have been correlated to the familial type of ALS, relatively little is known about the sporadic type (sALS). Genetic factors concerning pesticide metabolism and heavy metal detoxification are increasing the susceptibility to sALS. This review focuses on the genes implicated in metabolic detoxification pathways of environmental toxicants and their potential role in ALS susceptibility.

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“…However, there is no unified diagnostic standard associated with the HbA1c detection method, which does not represent the current blood glucose level and easily results in misdiagnosis (Vajravelu and Lee, 2018). Genetic testing methods are varied and are selected according to particular requirements, but there are still legal and social ethics issues (Etchegary et al, 2010;Prior et al, 2012). Glucose tolerance test (OGTT) methods have the advantages of objectivity and accuracy, which is the "gold standard" for the diagnosis of pre-diabetes.…”

Section: Introductionmentioning

confidence: 99%

Early Diagnosis of Type 2 Diabetes Based on Near-Infrared Spectroscopy Combined With Machine Learning and Aquaphotomics

Guo²,

et al. 2020

Front. Chem.

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Early diagnosis is important to reduce the incidence and mortality rate of diabetes. The feasibility of early diagnosis of diabetes was studied via near-infrared spectra (NIRS) combined with a support vector machine (SVM) and aquaphotomics. Firstly, the NIRS of entire blood samples from the population of healthy, pre-diabetic, and diabetic patients were obtained. The spectral data of the entire spectra in the visible and near-infrared region (400–2,500 nm) were used as the research object of the qualitative analysis. Secondly, several preprocessing steps including multiple scattering correction, variable standardization, and first derivative and second derivative steps were performed and the best pretreatment method was selected. Finally, for the early diagnosis of diabetes, models were established using SVM. The first overtone of water (1,300–1,600 nm) was used as the research object for an aquaphotomics model, and the aquagram of the healthy group, pre-diabetes, and diabetes groups were drawn using 12 water absorption patterns for the early diagnosis of diabetes. The results of SVM showed that the highest accuracy was 97.22% and the specificity and sensitivity were 95.65 and 100%, respectively when the pretreatment method of the first derivative was used, and the best model parameters were c = 18.76 and g = 0.008583.The results of the aquaphotomics model showed clear differences in the 1,400–1,500 nm region, and the number of hydrogen bonds in water species (1,408, 1,416, 1,462, and 1,522 nm) was evidently correlated with the occurrence and development of diabetes. The number of hydrogen bonds was the smallest in the healthy group and the largest in the diabetes group. The suggested reason is that the water matrix of blood changes with the worsening of blood glucose metabolic dysfunction. The number of hydrogen bonds could be used as biomarkers for the early diagnosis of diabetes. The result show that it is effective and feasible to establish an accurate and rapid early diagnosis model of diabetes via NIRS combined with SVM and aquaphotomics.

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Association of the PGC-1αrs8192678 Variant with Microalbuminuria in Subjects with Type 2 Diabetes Mellitus

Cited by 11 publications

References 42 publications

Asian Americans & chronic kidney disease in a nationally representative cohort

Asian Americans & chronic kidney disease in a nationally representative cohort

Genetic polymorphisms in amyotrophic lateral sclerosis: Evidence for implication in detoxification pathways of environmental toxicants

Early Diagnosis of Type 2 Diabetes Based on Near-Infrared Spectroscopy Combined With Machine Learning and Aquaphotomics

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