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1.
PLoS One ; 19(2): e0287125, 2024.
Article in English | MEDLINE | ID: mdl-38354201

ABSTRACT

Serum vitamin D levels were linked to lipid metabolism in observational studies, but the exact mechanism was unclear. Several studies have attempted to decipher the relationship between 25(OH)D and lipid levels. Conventional observational studies are vulnerable to confounding. Mendelian randomization (MR) analysis can better control for confounding factors and reverse causality, allowing for the inference of causal association. We, therefore, sought to use MR to investigate the possible causal relationship between 25(OH)D and blood lipid levels (HDL cholesterol, LDL cholesterol, triglycerides, and total cholesterol). A bidirectional two-sample Mendelian randomization (MR) was performed on data primarily from European ancestors. In addition, the potential causal effect of lipids on 25(OH)D was assessed by regressor-based multivariate magnetic resonance (MVMR). The single-nucleotide polymorphisms (SNPs) related to 25(OH)D were selected from a large-scale genome-wide association study (GWAS) database named IEU GWAS, and the SNPs associated with the four blood lipids were chosen from UK Biobank (UKB) lipid GWAS. When blood lipids were the outcome, the results of bidirectional two-sample MR demonstrated that 25(OH)D exhibited a negative causal association with TG, TC, and LDL-C: ß = - 0.23, 95% CI = -0.28 to -0.19, P<0.001; ß = - 0.16, 95% CI: - 0.30 to-0.03, P < 0.05; ß = - 0.11, 95% CI: - 0.23 to 0, P < 0.05. There was no causal relationship between 25(OH)D and HDL-C (ß = 0.05, 95% CI: - 0.11 to 0.20, P = 0.56). When setting blood lipids as exposure, TG and 25(OH)D, ß = -0.13, 95% CI: - 0.15 to -0.10, P < 0.05; TC and 25(OH)D, ß = -0.11, 95% CI: - 0.15 to -0.07, P < 0.05; HDL-C and 25(OH)D, ß = 0.02, 95% CI: 0 to 0.03, P = 0.07; LDL-C and 25(OH)D, ß = -0.08, 95% CI: - 0.11 to -0.05, P < 0.05). Our MVMR study also showed a significant relationship between genetically determined lipid traits and 25(OH)D levels (TG and 25(OH)D, P < 0.05; TC and 25(OH)D, P < 0.05). In all MR analyses, there was no horizontal pleiotropy (all P > 0.05), or statistical heterogeneity. The "Leave-one-out" sensitivity analysis confirmed the stability of our results. MR Studies have shown a bidirectional causal relationship between genetically-determined 25(OH)D levels and serum TG and TC levels. The findings have potential implications for etiological understanding and disease prevention.


Subject(s)
Genome-Wide Association Study , Mendelian Randomization Analysis , Vitamin D/analogs & derivatives , Cholesterol, LDL , Calcifediol , Polymorphism, Single Nucleotide
2.
Front Endocrinol (Lausanne) ; 13: 965890, 2022.
Article in English | MEDLINE | ID: mdl-36072930

ABSTRACT

Background: There is still controversy surrounding the precise characterization of prediabetic population. We aim to identify and examine factors of demographic, behavioral, clinical, and biochemical characteristics, and obesity indicators (anthropometric characteristics and anthropometric prediction equation) for prediabetes according to different definition criteria of the American Diabetes Association (ADA) in the Chinese population. Methods: A longitudinal study consisted of baseline survey and two follow-ups was conducted, and a pooled data were analyzed. Prediabetes was defined as either impaired fasting glucose (IFG), impaired glucose tolerance (IGT), or elevated glycosylated hemoglobin (HbA1c) according to the ADA criteria. Robust generalized estimating equation models were used. Results: A total of 5,713 (58.42%) observations were prediabetes (IGT, 38.07%; IGT, 26.51%; elevated HbA1c, 23.45%); 9.66% prediabetes fulfilled all the three ADA criteria. Among demographic characteristics, higher age was more evident in elevated HbA1c [adjusted OR (aOR)=2.85]. Female individuals were less likely to have IFG (aOR=0.70) and more likely to suffer from IGT than male individuals (aOR=1.41). Several inconsistency correlations of biochemical characteristics and obesity indicators were detected by prediabetes criteria. Body adiposity estimator exhibited strong association with prediabetes (D10: aOR=4.05). For IFG and elevated HbA1c, the odds of predicted lean body mass exceed other indicators (D10: aOR=3.34; aOR=3.64). For IGT, predicted percent fat presented the highest odds (D10: aOR=6.58). Conclusion: Some correlated factors of prediabetes under different criteria differed, and obesity indicators were easily measured for target identification. Our findings could be used for targeted intervention to optimize preventions to mitigate the obviously increased prevalence of diabetes.


Subject(s)
Diabetes Mellitus , Glucose Intolerance , Prediabetic State , Blood Glucose , Diabetes Mellitus/epidemiology , Diabetes Mellitus/prevention & control , Fasting , Female , Glucose Intolerance/epidemiology , Glycated Hemoglobin/analysis , Humans , Longitudinal Studies , Male , Obesity/epidemiology , Prediabetic State/epidemiology
3.
Endokrynol Pol ; 73(6): 968-987, 2022.
Article in English | MEDLINE | ID: mdl-35971927

ABSTRACT

INTRODUCTION: The association between sleep duration and metabolic syndrome (MetS) remains controversial, and few have considered the effects of sleep quality. We performed a meta-analysis to clarify the relationship of sleep duration and sleep quality with the risk of MetS. MATERIAL AND METHODS: We conducted a systematic and comprehensive literature search of electronic databases from inception to 17 February 2022. The effect sizes of covariates from each study were pooled using a random or fixed model, and a restricted cubic spline random-effects meta-analysis was performed to examine the dose-response relationship between sleep duration and MetS. RESULTS: A total of 62 studies were included in this meta-analysis. Compared to normal sleep duration, short sleep duration [odds ratio (OR) = 1.14, 95% confidence interval (CI): 1.10-1.19] and long sleep duration (OR = 1.15, 95% CI: 1.09-1.23) were associated with an increased risk of MetS. The restricted cubic spline analysis indicated that sleep durations of 8.5 h (OR = 0.95, 95% CI: 0.92-0.97) and 11 h (OR = 1.58, 95% CI: 1.31-1.91) were significantly associated with the risk of MetS. The pooled results showed that poor sleep quality (OR = 1.46, 95% CI: 1.03-2.06) and sleep complaints had significant positive associations with MetS. CONCLUSION: Our results demonstrated that short sleep duration increased the risk of developing MetS. Long sleep duration was also associated with MetS, especially for 11 h. 8.5 h can be considered the recommended sleep duration for MetS. Poor sleep quality and sleep complaints were also associated with MetS.


Subject(s)
Metabolic Syndrome , Sleep Wake Disorders , Humans , Adult , Metabolic Syndrome/epidemiology , Metabolic Syndrome/etiology , Sleep Quality , Sleep Duration , Sleep/physiology , Time Factors , Sleep Wake Disorders/complications , Sleep Wake Disorders/epidemiology
4.
Steroids ; 77(5): 521-7, 2012 Apr.
Article in English | MEDLINE | ID: mdl-22310161

ABSTRACT

This study was performed to investigate the reactivity of azocarbenium salts derived from 5α-cholestan-3-one towards 1,3-dipolar cycloaddition reactions with inverse electron-demand to produce unprecedented steroidal heterocyclic derivatives, i.e. [1,2,4]-triazolo-annulated 3-aza-A-homocholestanes 8 and 11 and picrates 12. The synthetic steps were comprised of oxidizing hydrazones 3 with tert-butyl hypochlorite to germinal chloroazo compounds 4, generation of the 1-aza-2-azoniaallene cations 5 by action with equimolar antimony pentachloride and interception with nitrile and alkyne molecules by cycloaddition to the triple bond followed by ring enlargement. The structure of the compounds was principally established on the basis of the analytical and spectral data along with the previously published X-ray diffraction analysis on 8a.


Subject(s)
Cholestanes/chemical synthesis , Heterocyclic Compounds/chemical synthesis , Models, Chemical , Steroids/chemical synthesis , Cholestanes/chemistry , Crystallography, X-Ray , Heterocyclic Compounds/chemistry , Molecular Structure , Steroids/chemistry , X-Ray Diffraction
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