scholarly journals Parathyroid Hormone and 25-Hydroxyvitamin D Do Not Mediate the Association between Dietary Calcium, Protein and Vitamin D Intake and Adiposity and Lipid Profile in Patients with Type 2 Diabetes: a Structural Equation Modeling Approach

2020 ◽  
Vol 9 (4) ◽  
pp. 271
Author(s):  
Parisa Janmohammadi ◽  
Farhang Djafari ◽  
Gholamreza Mohammadi Farsani ◽  
Sakineh Shab-Bidar ◽  
Ali Asghar Haeri Mehrizi
Keyword(s):  
Type 2 Diabetes ◽  
Vitamin D ◽  
Structural Equation Modeling ◽  
Parathyroid Hormone ◽  
Structural Equation ◽  
Equation Modeling ◽  
Hydroxyvitamin D ◽  
Vitamin D Intake ◽  
25 Hydroxyvitamin D

scholarly journals Association of serum 25-hydroxyvitamin D with metabolic syndrome and type 2 diabetes: a one sample Mendelian randomization study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jing Xiao ◽  
Jingyi Lv ◽  
Shiyu Wang ◽  
Yang Zhou ◽  
Lunwen Chen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Vitamin D ◽  
Vitamin D Deficiency ◽  
Mendelian Randomization ◽  
Middle Aged ◽  
Hydroxyvitamin D ◽  
25 Hydroxyvitamin D ◽  
Randomization Analysis

Abstract Background Vitamin D deficiency has been associated with type 2 diabetes (T2D) and metabolic syndrome (MS) and its components. However, it is unclear whether a low concentration of vitamin D is the cause or consequence of these health conditions. Thus, this study aimed to evaluate the association of vitamin D concentrations and its genetic risk scores (GRSs) with MS and its component diseases, such as T2D, in middle-aged and elderly participants from rural eastern China. Methods A subset of 2393 middle-aged and elderly individuals were selected from 70,458 participants of the Nantong Chronic Diseases Study of 2017–2018 in China. We used two 25-hydroxyvitamin D (25[OH]D) synthesis single-nucleotide polymorphisms (SNPs) (DHCR7-rs12785878 and CYP2R1-rs10741657) and two 25(OH) D metabolism SNPs (GC-rs2282679 and CYP24A1-rs6013897) for creating GRSs, which were used as instrumental variables to assess the effect of genetically lowered 25(OH) D concentrations on MS and T2D based on the Wald ratio. F statistics were used to validate that the four SNPs genetically determined 25(OH) D concentrations. Results Compared to vitamin D sufficient individuals, individuals with vitamin D insufficiency had an odds ratio (OR [95% confidence interval {CI}]) of MS of 1.30 (1.06–1.61) and of T2D of 1.32 (1.08–1.64), individuals with vitamin D deficiency had an ORs (95% CI) of MS of 1.50 (1.24–1.79) and of T2D of 1.47 (1.12–1.80), and those with vitamin D severe deficiency had an ORs (95% CI) of MS of 1.52 (1.29–1.85) and of T2D of 1.54 (1.27–1.85). Mendelian randomization analysis showed a 25-nmol/L decrease in genetically instrumented serum 25(OH) D concentrations using the two synthesis SNPs (DHCR7 and CYP2R1 genes) associated with the risk of T2D and abnormal diastolic blood pressure (DBP) with ORs of 1.10 (95%CI: 1.02–1.45) for T2D and 1.14 (95%CI: 1.03–1.43) for DBP. Conclusions This one sample Mendelian randomization analysis shows genetic evidence for a causal role of lower 25(OH) D concentrations in promoting of T2D and abnormal DBP in middle-aged and elderly participants from rural China.

scholarly journals Structural equation modeling for hypertension and type 2 diabetes based on multiple SNPs and multiple phenotypes

PLoS ONE ◽  
2019 ◽  
Vol 14 (9) ◽  
pp. e0217189
Author(s):  
Saebom Jeon ◽  
Ji-yeon Shin ◽  
Jaeyong Yee ◽  
Taesung Park ◽  
Mira Park
Keyword(s):  
Type 2 Diabetes ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Multiple Snps ◽  
Multiple Phenotypes

No association of 25-hydroxyvitamin D and parathormone levels with glucose homeostasis in type 2 diabetes – a study from Shillong, Meghalaya

2019 ◽  
Vol 89 (5-6) ◽  
pp. 285-292
Author(s):  
Kaustubh Bora ◽  
Alice Abraham Ruram
Keyword(s):  
Type 2 Diabetes ◽  
Vitamin D ◽  
Blood Sugar ◽  
Glucose Homeostasis ◽  
Cell Function ◽  
Hydroxyvitamin D ◽  
Β Cell Function ◽  
25 Hydroxyvitamin D ◽  
Selection Of

Abstract. Background: Although inadequate vitamin D and altered parathyroid hormone (PTH) are implicated in deranged glucose metabolism and risk of future diabetes, their role in regulating glucose homeostasis in established cases of diabetes is unclear. We aimed to (i) evaluate vitamin D status, and (ii) determine if vitamin D and PTH were associated with parameters of glucose homeostasis in type 2 diabetes (T2D) patients from Meghalaya, India. Methods: We determined 25-hydroxyvitamin D (25-OH-D) and PTH concentrations in 251 T2D patients (not on insulin), and examined their associations with the following parameters of glucose homeostasis: fasting blood sugar (FBS), post-prandial blood sugar (PPBS), glycated hemoglobin (HbA1c), fasting insulin (FI), homeostasis model assessments of insulin resistance (HOMA-IR) and β-cell function (HOMA-β). Results: None of the patients had adequate vitamin D (mean 25-OH-D = 19.3 ng/mL); 47.8% patients were deficient (25-OH-D < 20 ng/mL), while 52.2% were insufficient (25-OH-D < 30 ng/mL) vitamin D. Significant ( P < 0.05) univariate associations were observed between: 25-OH-D and FI ( r = 0.14); 25-OH-D and HOMA-β ( r = 0.13); PTH and FI ( r = −0.18), and PTH and HOMA-β ( r = −0.11). However these associations disappeared after controlling for potential confounders. The 25-OH-D and PTH levels were not associated with any of the tested parameters of glucose homeostasis. Conclusion: There was widespread prevalence of vitamin D deficiency/insufficiency in our sample T2D patients. However, neither vitamin D nor PTH appeared to play a major role in influencing glucose homeostasis in this present selection of T2D cases.

scholarly journals Serum 25-Hydroxyvitamin D and Adipose Tissue Vitamin D Receptor Gene Expression: Relationship With Obesity and Type 2 Diabetes

2015 ◽  
Vol 100 (4) ◽  
pp. E591-E595 ◽  
Author(s):  
Mercedes Clemente-Postigo ◽  
Araceli Muñoz-Garach ◽  
Marta Serrano ◽  
Lourdes Garrido-Sánchez ◽  
M. Rosa Bernal-López ◽  
...  
Keyword(s):  
Gene Expression ◽  
Type 2 Diabetes ◽  
Vitamin D ◽  
Receptor Gene ◽  
Vitamin D Receptor Gene ◽  
Hydroxyvitamin D ◽  
25 Hydroxyvitamin D ◽  
Receptor Gene Expression ◽  
Tissue Vitamin

scholarly journals THE RELATION OF 25-HYDROXYVITAMIN D LEVEL WITH METABOLIC SYNDROME IN TYPE 2 DIABETES MELITUS PATIENTS

2019 ◽  
Vol 26 (2) ◽  
Author(s):  
Medityas Winda Krissinta ◽  
M.I. Diah Pramudianti ◽  
Dian Ariningrum
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Vitamin D ◽  
Type 2 Diabetes Mellitus ◽  
Metabolic Disorder ◽  
Hydroxyvitamin D ◽  
Type 2 Dm ◽  
25 Hydroxyvitamin D

Background: Type 2 diabetes mellitus (DM) is a metabolic disorder characterized by hyperglycemia. Metabolic syndrome (MS) is a complex metabolic disorder like hyperglycemia, obesity, dyslipidemia, and hypertension. Vitamin D controls genes associated with regulation of insulin and renin production. The aim of this study was to analyze the relation between total levels of 25-hydroxyvitamin D [25(OH)D] and the incidence of MS in  type 2 DM patients.Methods: This case control study was conducted from October to November 2018 in Dr Moewardi Hospital Surakarta in 84 people with type 2 diabetes mellitus. All subjects were 34-75 years old. The research data were analyzed with a 2x2 test table to determine the odd ratio (OR) of each study variable, then multivariate analysis with logistic regression then continued.Results: The mean total level of 25(OH)D is 18.01 ± 6.10 ng/dl. Bivariate and multivariate OR analysis showed that poor glycemic control with the incidence of MS (OR: 11.154; 95% Cl: 3.933-31.631; p = 0.001); female sex (OR : 1.788; 95% Cl: 0.750-4.261; p = 0.188); age < 50 year (OR: 1.644; 95% Cl: 0.614-4.404; p = 0.321); and  total  25(OH)D deficiency (OR: 1.250; 95% Cl: 0.317-2.022; p = 0.637).Conclusion: total 25(OH)D level is not associated with the incidence of MS in the type 2 DM patients. Further study was needed using by healthy group control to explain the role of vitamin D in type 2 DMKeywords: type 2 DM, metabolic syndrome, 25(OH)D

scholarly journals Structural equation modeling for hypertension and type 2 diabetes based on multiple SNPs and multiple phenotypes

2019 ◽  
Author(s):  
Saebom Jeon ◽  
Ji-yeon Shin ◽  
Jaeyong Yee ◽  
Taesung Park ◽  
Mira Park
Keyword(s):  
Type 2 Diabetes ◽  
Structural Equation Modeling ◽  
Genetic Variants ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling ◽  
Multiple Snps ◽  
Informative Snps ◽  
Intermediate Phenotypes

AbstractGenome-wide association studies (GWAS) have been successful in identifying genetic variants associated with complex diseases. However, association analyses between genotypes and phenotypes are not straightforward due to the complex relationships between genetic and environmental factors. Moreover, multiple correlated phenotypes further complicate such analyses.To resolve this complexity, we present an analysis using structural equation modeling (SEM). Unlike current methods that focus only on identifying direct associations between diseases and genetic variants such as single-nucleotide polymorphisms (SNPs), our method introduces the effects of intermediate phenotypes, which are related phenotypes distinct from the target, into the systematic genetic study of diseases. Moreover, we consider multiple diseases simultaneously in a single model. The procedure can be summarized in four steps: 1) selection of informative SNPs, 2) extraction of latent variables from the selected SNPs, 3) investigation of the relationships among intermediate phenotypes and diseases, and 4) construction of an SEM. As a result, a quantitative map can be drawn that simultaneously shows the relationship among multiple SNPs, phenotypes, and diseases.In this study, we considered two correlated diseases, hypertension and type 2 diabetes (T2D), which are known to have a substantial overlap in their disease mechanism and have significant public health implications. As intermediate phenotypes for these diseases, we considered three obesity-related phenotypes—subscapular skin fold thickness, body mass index, and waist circumference—as traits representing subcutaneous adiposity, overall adiposity, and abdominal adiposity, respectively. Using GWAS data collected from the Korea Association Resource (KARE) project, we applied the proposed SEM process. Among 327,872 SNPs, 24 informative SNPs were selected in the first step (p<1.0E-05). Ten latent variables were generated in step 2. After an exploratory analysis, we established a path diagram among phenotypes and diseases in step 3. Finally, in step 4, we produced a quantitative map with paths moving from specific SNPs to hypertension through intermediate phenotypes and T2D. The resulting model had high goodness-of fit measures (χ2= 536.52, NFI=0.997, CFI=0.998).

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