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Background: Abdominal obesity, a significant risk factor for the progression of diabetic retinopathy (DR), may lead to improved visual outcomes through early assessment. This study aims to evaluate any potential associations between DR and novel lipid metabolism markers, including the Atherogenic Index of Plasma (AIP), Visceral Adiposity Index (VAI), and Lipid Accumulation Product (LAP)., Methods: This study aimed to elucidate the association between various lipid markers and DR by screening the National Health and Nutrition Examination Survey (NHANES) database in the United States from 2005 to 2008. To examine the correlation, multifactor logistic regression analysis, subgroup analysis, threshold effect analysis, interaction test, and smooth curve fitting were used., Results: Among the 2591 participants included, the incidence of DR was 13.6% and the mean age was 59.55 ± 12.26 years. After adjusting for important confounding covariates, logistic regression studies suggested a possible positive association between LAP, VAI, AIP, and DR occurrence (odds ratio [OR] = 1.004; 95% confidence interval [CI]: 1.002, 1.006; P < 0.0001; [OR] = 1.090; 95% [CI]: 1.037, 1.146; P = 0.0007; [OR] = 1.802; 95% [CI]: 1.240, 2.618; P = 0.0020). The nonlinear association between LAP and DR was further illustrated using an S-shaped curve by smoothing curve fitting, with the inflection point of the curve located at 63.4. Subgroup analyses and interaction tests were performed with full variable adjustment (P > 0.05 for all interactions)., Conclusion: Studies have shown that elevated levels of LAP, VAI, and AIP increase the likelihood of DR, suggesting that they have the potential to be predictive markers of DR, emphasizing their potential utility in risk assessment and prevention strategies, and advocating for early intervention to mitigate the likelihood of DR., (© 2024. The Author(s).)

Background: Copper (Cu) homeostasis are important processes in the cause of metabolic diseases, but the association between Cu and obesity remains unclear., Methods: Participants were drawn from the 2011-2016 National Health and Nutrition Examination Survey (NHANES). Weighted logistic regression assessed the associations of serum Cu concentrations (tertiles) with obesity and central obesity in individuals without comorbidities. Obesity was defined as a BMI ≥30.0 kg/m2, and central obesity was defined as a waist circumference ≥80 cm for women and ≥95 cm for men., Results: This cross-sectional study included 1,665 adults without comorbidities, representing 24,744,034 people (mean age 35.1 years, 48.5% female). High serum Cu levels (tertile 3: ≥19.19 μmol/L) were associated with higher odds of obesity (adjusted odds ratio [OR]: 4.48, 95% CI[confidence interval]: 2.44-8.32) and central obesity (OR: 2.36, 95% CI: 1.19-4.66) compared to low serum Cu levels (tertile 1: ≤15.64 μmol/L). The dose-response curve showed a nonlinear association between Cu levels and obesity (P-nonlinear = 0.02) and a linear association with central obesity (P-nonlinear = 0.21)., Conclusion: This study suggests that higher serum Cu levels are associated with increased odds of obesity in healthy American adults., Competing Interests: NHANES is a comprehensive cross-sectional study conducted in the United States. The survey employs a sophisticated, stratified, and multistage probability sampling design. The research protocol received approval from the Research Ethics Review Board of the National Center for Health Statistics, and NHANES ensures that written informed consent is obtained from all participants. It’s important to note that our analysis exclusively utilized publicly available data, ensuring the absence of personally identifiable information. All procedures strictly adhered to relevant guidelines and regulations. The interview questionnaires and examination response rates are accessible to the public. This does not alter our adherence to PLOS ONE policies on sharing data and materials., (Copyright: © 2024 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Obesity is associated with adverse health outcomes, but the metabolic effects have not yet been fully elucidated. We aimed to investigate the association between adiposity and circulating metabolites and to address causality with Mendelian randomization (MR). Metabolomics data were generated with nontargeted ultraperformance liquid chromatography coupled to time-of-flight mass spectrometry in plasma and serum from three population-based Swedish cohorts: ULSAM (N = 1,135), PIVUS (N = 970), and TwinGene (N = 2,059). We assessed associations of general adiposity measured as BMI and central body fat distribution measured as waist-to-hip ratio adjusted for BMI (WHRadjBMI) with 210 annotated metabolites. We used MR analysis to assess causal effects. Lastly, we attempted to replicate the MR findings in the KORA and TwinsUK cohorts (N = 7,373), the CHARGE Consortium (N = 8,631), the Framingham Heart Study (N = 2,076), and the DIRECT Consortium (N = 3,029). BMI was associated with 77 metabolites, while WHRadjBMI was associated with 11 and 3 metabolites in women and men, respectively. The MR analyses in the Swedish cohorts suggested a causal association (P value <0.05) of increased general adiposity and reduced levels of arachidonic acid, dodecanedioic acid, and lysophosphatidylcholine (P-16:0) as well as with increased creatine levels. The results of the replication effort provided support for a causal association of adiposity with reduced levels of arachidonic acid (P value = 0.03). Adiposity is associated with variation of large parts of the circulating metabolome; however, further investigation of causality is required in well-powered cohorts., (© 2022 by the American Diabetes Association.)

This cross-sectional investigation studied differences in insulin resistance across levels of physical activity in 6,500 US adults who were randomly selected as part of the National Health and Nutrition Examination Survey (NHANES). Another important objective was to determine the influence of abdominal obesity on the physical activity and insulin resistance relationship. MET-minutes were utilized to quantify total activity based on participation in 48 different physical activities. Two strategies were employed to categorize levels of physical activity: one was based on relative MET-minutes (quartiles), and the other approach was based on the US physical activity guidelines. Insulin resistance was indexed using the homeostatic model assessment (HOMA). Abdominal obesity was indexed using waist circumference. Effect modification was tested by dividing waist circumferences into sex-specific quartiles and then evaluating the relationship between physical activity and HOMA-IR within each quartile separately. Results showed that relative physical activity level was associated with HOMA-IR after controlling for demographic and demographic and lifestyle covariates ( F  = 11.5, P < 0.0001 and F  = 6.0, P =0.0012, respectively). Adjusting for demographic and demographic and lifestyle covariates also resulted in significant relationships between guideline-based activity and HOMA-IR ( F  = 8.0, P < 0.0001 and F  = 4.9, P =0.0017, respectively). However, statistically controlling for differences in waist circumference with the other covariates nullified the relationship between total physical activity and HOMA-IR. Effect modification testing showed that when the sample was delimited to adults with abdominal obesity (Quartile 4), relative ( F  = 5.6, P =0.0019) and guideline-based physical activity ( F  = 3.7, P =0.0098) and HOMA-IR were significantly associated. Physical activity and HOMA-IR were not related within the other three quartiles. In conclusion, it appears that differences in physical activity may play a meaningful role in insulin resistance in those with abdominal obesity, but total activity does not seem to account for differences in insulin resistance among US adults with smaller waists., Competing Interests: The authors declare that there are no conflicts of interest regarding the publication of this paper., (Copyright © 2020 James R. Fowler et al.)

Background: Reduced heart rate variability (HRV), a measure of cardiac autonomic function, is associated with an increased risk of cardiovascular disease (CVD) and mortality. Glucose homeostasis measures are associated with reduced cardiac autonomic function among those with diabetes, but inconsistent associations have been reported among those without diabetes. This study aimed to examine the association of glucose homeostasis measures with cardiac autonomic function among diverse Hispanic/Latino adults without diabetes., Methods: The Hispanic community Health Study/Study of Latinos (HCHS/SOL; 2008-2011) used two-stage area probability sampling of households to enroll 16,415 self-identified Hispanics/Latinos aged 18-74 years from four USA communities. Resting, standard 12-lead electrocardiogram recordings were used to estimate the following ultrashort-term measures of HRV: RR interval (RR), standard deviation of all normal to normal RR (SDNN) and root mean square of successive differences in RR intervals (RMSSD). Multivariable regression analysis was used to estimate associations between glucose homeostasis measures with HRV using data from 11,994 adults without diabetes (mean age 39 years; 52 % women)., Results: Higher fasting glucose was associated with lower RR, SDNN, and RMSSD. Fasting insulin and the homeostasis model assessment of insulin resistance was negatively associated with RR, SDNN, and RMSSD, and the association was stronger among men compared with women. RMSSD was, on average, 26 % lower in men with higher fasting insulin and 29 % lower in men with lower insulin resistance; for women, the corresponding estimates were smaller at 4 and 9 %, respectively. Higher glycated hemoglobin was associated with lower RR, SDNN, and RMSSD in those with abdominal adiposity, defined by sex-specific cut-points for waist circumference, after adjusting for demographics and medication use. There were no associations between glycated hemoglobin and HRV measures among those without abdominal adiposity., Conclusions: Impairment in glucose homeostasis was associated with lower HRV in Hispanic/Latino adults without diabetes, most prominently in men and individuals with abdominal adiposity. These results suggest that reduced cardiac autonomic function is associated with metabolic impairments before onset of overt diabetes in certain subgroups, offering clues for the pathophysiologic processes involved as well as opportunity for identification of those at high risk before autonomic control is manifestly impaired.

Objective: To examine the association of body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) with the prevalence of asthma by atopic status and sex using nationally representative data in the US., Methods: The National Health and Nutrition Examination Survey 2005-2006 data were analyzed using areas under the receiver operating characteristic (ROC) curves (AUCs) and multivariate logistic regression models., Results: Women had higher AUCs (0.59-0.64) than men (0.50-0.58) across anthropometric indices and asthma outcomes. After controlling for sociodemographic characteristics and smoking status, only WHtR was positively associated with atopic asthma in both sexes (odds ratio per 1 SD [95% confidence interval]: men, 1.018 [1.004, 1.032], p = .01; women, 1.018 [1.006, 1.030], p = .003), and the associations persisted after further adjustment of BMI. Only in women was nonatopic asthma significantly associated with every 1 SD increase of BMI (odds ratio [95% confidence interval]: 1.018 [1.006, 1.030], p = .003), WC (1.018 [1.006, 1.030], p = .004), and WHtR (1.016 [1.004, 1.028], p = .008)., Conclusions: Using US national data, this study adds to the emerging evidence suggesting two possible distinct phenotypes: (1) obese men and women with atopic asthma and (2) obese women with nonatopic asthma. The mechanistic and therapeutic implications of these findings warrant further investigation.

Abdominal obesity is characterized by sympathetic nerve activation (SNA), probably mediated by elevated insulin and leptin levels. Resting heart rate (RHR) is a marker of sympathetic tone, and independently associated with cardiovascular events and death in various populations. We investigated and quantified the relation between visceral adipose tissue (VAT) and RHR in patients with vascular disease. In 3,723 patients with manifest vascular disease, visceral and subcutaneous fat tissue was measured with ultrasonography. RHR was obtained from an electrocardiogram (ECG). The association between quartiles of VAT and RHR was quantified using linear regression analysis with adjustments for potential confounding factors. Separate analyses were performed for men and women and for location of vascular disease. Visceral fat was categorized into sex-pooled quartiles (Q) ranging from 2.7-8.0 cm in Q1 (reference) to 9.4-20.6 cm in Q4. High visceral fat thickness was associated with increased RHR, in men (Q4 vs. Q1, β = 4.36; 95% confidence interval (CI) = 3.11-5.61) and women (β = 1.48; 95% CI = -0.70 to 3.66), after full adjustment. Waist circumference and BMI had a significant relation with RHR in men (β = 3.51; 95% CI = 2.21-4.81 and β = 2.80; 95% CI = 1.51-4.08, respectively) but these relations were smaller and not significant in women (β = 0.71; 95% CI = -1.44 to 2.85 and β = 0.24; 95% CI = -1.90 to 2.37, respectively). There was no relation between subcutaneous fat and RHR in men and women. The relation between visceral fat and RHR was similar in patients with different locations of vascular diseases. Increased visceral fat is associated with increased RHR in male and female patients with vascular disease, independent of the location.