The Triglycerides and Glucose Index is not superior to HOMA-IR in predicting testosterone deficiency among adult males

Prediction of testosterone deficiency using different screening indexes in adult American men: An NHANES cross-sectional study

BACKGROUND

Testosterone levels are closely associated with visceral obesity, insulin resistance, and lipid metabolism. The objective of this study was to investigate the associations among eight indicators related to visceral obesity, insulin resistance, lipid metabolism, and testosterone levels.

METHODS

The data were obtained from a cross-sectional survey based on National Health and Nutrition Examination Survey (NHANES) 2013-2016. Logistic and linear regression were employed to assess the associations between these inicators and testosterone levels. Simultaneously, the receiver operating characteristic (ROC) curve was utilized to evaluate their predictive capacity for testosterone deficiency (TD).

RESULTS

Data from a collective of 1514 individuals selected from NHANES were analyzed. After adjusting all potential confounders, a tight association was identified between these eight indexes and TD. The ROC curve analysis showed that the triglyceride-glucose waist-to-height ratio (TyG-WHtR)is the best predictor of testosterone deficiency (AUC: 0.7760, 95%CI: 0.7460-0.8060), with a cut-off value of 5.375. Further analyses indicated that participants with higher TyG-WHtR index exhibitrd a lower total testosterone level(β: -79.36,95%CI: -105.90, -52.82). Additionally, males in TyG-WHtR index tertile 3 had a higher risk of TD (OR: 6.61, 95%CI: 2.90,15.07), and lower total testosterone levels (β: -121.9, 95%CI: -186.82, -56.98). All the results remained stable in the subgroup analyses stratified by diabetes and hypertension.

CONCLUSIONS

We found that these indexses are tightly associated with testosterone levels in U.S. adult men. Moreover, the TyG-WHtR index demonstrates the most effective predictive performance in the population. However, more well-designed studies are still needed to validate their association.

Association between different insulin resistance surrogates and erectile dysfunction in non-diabetic men: a large population-based study

BACKGROUND

Although it is widely recognized that insulin resistance (IR) plays a critical role in the development of erectile dysfunction (ED), the specific relationship between IR and ED among non-diabetics has been little studied, and no relevant large-scale studies have been conducted. The purpose of this study is to examine the association between different IR surrogates and the risk of ED in non-diabetic populations.

METHODS

National Health and Nutrition Examination Survey (NHANES) 2001-2004 data were used for this cross-sectional analysis. Weighted multivariable logistic regression and restricted cubic spline curves (RCS) were performed to evaluate the relationship between homeostasis model assessment (HOMA-IR), triglyceride glucose (TyG), TyG with body mass index (TyG-BMI), TyG with waist circumference (TyG-WC) and TyG with waist-to-height ratio (TyG-WHtR), and ED risk. When segmenting effects were detected, recursive algorithms were used to determine potential inflection points. Then log-likelihood ratio test and weighted segmented regression were carried out. In the sensitivity analysis, stratified and interaction analyses were performed.

RESULTS

A total of 1569 (weighted: 76450963) individuals eventually were enrolled in the study. After adjusting for all confounders, the TyG did not correlate with ED (P > 0.05), whereas the other IR surrogates, HOMA-IR, TyG-BMI, TyG-WC, and TyG-WHtR, remained positively correlated with ED [ORs (95% CIs) were 1.02 (0.95, 1.10), 1.01 (1.00, 1.02), 1.00 (1.00, 1.01), 1.17 (0.84, 1.63), respectively; all P < 0.05]. Furthermore, we found the risk of ED was significantly higher when TyG-BMI > 328.94 or TyG-WC > 1128.25 or TyG-WHtR > 6.42 [the ORs (95% CIs) were 1.05 (1.02, 1.08), 1.02 (1.01, 1.03) and 51.30 (4.46, 453.64), respectively]. No interactions were found between these IR surrogates and the stratification variables.

CONCLUSIONS

In the non-diabetic population, ED risk was positively associated with elevated HOMA-IR, TyG-BMI, TyG-WC, and TyG-WHtR.

Association between cardiometabolic index and risk of testosterone deficiency in adult men: a cross-sectional study

BACKGROUND

Metabolic health is closely related to testosterone levels, and the cardiometabolic index (CMI) is a novel metabolic evaluation metric that encompasses obesity and lipid metabolism. However, there is currently a lack of research on the relationship between CMI and testosterone, which is the objective of this study.

METHODS

This study utilized data from the National Health and Nutrition Examination Survey (NHANES) cycles from 2011 to 2016. Only adult males who completed physical measurements, lipid metabolism assessments, and testosterone measurements were included in the final analysis. The exposure variable CMI was analyzed both as a continuous variable and a categorical variable divided into quartiles. Testosterone was measured using the isotope dilution liquid chromatography-tandem mass spectrometry technique. Linear and logistic regression analyses were used to explore the relationship between CMI and total testosterone (TT) levels, as well as the risk of testosterone deficiency (TD). Smooth curve fittings were employed to visualize their linear relationships. Subgroup analyses were conducted to evaluate the stability of our results across different participant characteristics. Finally, ROC analysis was used to assess the performance of CMI in predicting TD.

RESULTS

A total of 2,747 participants were included in the analysis, including 552 with TD (20.10%). The average CMI of the sample was 1.59 ± 0.03, with TD participants having a higher CMI of 2.18 ± 0.08 compared to non-TD participants at 1.46 ± 0.03. Corresponding testosterone levels were 223.79 ± 3.69 ng/dL and 508.36 ± 5.73 ng/dL, respectively. After adjusting for all covariates, participants with higher CMI showed lower TT (β = -23.84, 95% CI: -33.94, -13.74, p < 0.0001) and a higher risk of TD (OR = 1.26, 95% CI: 1.08, 1.48, p = 0.01). When CMI was categorized into quartiles with Q1 as the reference, participants in Q4 exhibited significantly lower TT (β = -74.04, 95% CI: -106.01, -42.08, p < 0.0001) and a higher risk of TD (OR = 2.34, 95% CI: 1.18, 4.64, p = 0.02). Smooth curve fittings indicated a linear relationship between these variables. Subgroup analyses confirmed the stability of these associations across different population characteristics. ROC curve analysis demonstrated that CMI had good predictive performance for TD with a cut-off value of 1.126 and an AUC (95% CI) of 0.673 (0.649, 0.700).

CONCLUSION

CMI is associated with lower TT and a higher risk of TD, and it can predict the risk of TD. Using CMI for early detection and timely intervention could reduce the disease burden and promote reproductive health. Further prospective studies with large sample sizes are needed to validate these findings.

Triglyceride glucose (TyG) index: A promising biomarker for diagnosis and treatment of different diseases

The Triglyceride-glucose index (TyG index) is a comprehensive statistical measure that incorporates fasting triglyceride and fasting glucose levels. Research has demonstrated that it can serve as an effective alternative biomarker for insulin resistance (IR) due to its high sensitivity and specificity. The TyG index is straightforward to compute and imposes fewer time and cost constraints, rendering it suitable for large populations and advantageous for use in various applications, clinical settings, and epidemiological investigations. Numerous high-quality clinical studies have underscored the significance of the TyG index in diverse medical conditions. This review provides a synthesis of the association between the TyG index and diseases such as diabetes, cardiovascular diseases, cerebrovascular diseases, fatty liver, kidney diseases, and reproductive system diseases. Furthermore, the TyG index has exhibited predictive capabilities for identifying IR in children and adolescents. Through a systematic review of pertinent clinical trials, this paper elucidates the correlation between the TyG index and various diseases. The findings presented herein suggest that the TyG index holds promise as a valuable and practical indicator for different medical conditions, prompting a reevaluation of conventional disease risk assessment paradigms and highlighting the intricate interplay of metabolic parameters with diverse diseases. By leveraging insights from the TyG index, tailored disease risk management strategies can be developed to offer a fresh perspective and guidance for clinical interventions.

Chronic sleep deprivation induces erectile dysfunction through increased oxidative stress, apoptosis, endothelial dysfunction, and corporal fibrosis in a rat model

BACKGROUND

Sleep is foundational for nocturnal erections, facilitating nutrient exchange and waste removal, which has brought widespread attention to the relationship between sleep and erectile dysfunction (ED). However, there is currently a lack of basic research confirming whether chronic sleep deprivation (CSD) leads to erectile impairment and its underlying pathological mechanisms.

AIM

The study sought to investigate whether CSD impairs erectile function in rats and the potential tissue damage it may cause in rats.

METHODS

The modified multiple platform method was employed to induce CSD in 14 rats, randomly divided into a platform control group and a CSD group. After 3 weeks, erectile function was evaluated by measuring intracavernosal pressure following cavernous nerve stimulation.

OUTCOMES

Arterial blood samples were then analyzed for testosterone levels, and cavernous tissues were processed for advanced molecular biology assays, including Western blotting and immunofluorescence.

RESULTS

After inducing CSD, rats exhibited a marked reduction in erectile function, yet their serum testosterone levels remained statistically unchanged when compared with the control group. More importantly, rats in the CSD group exhibited a significant increase in oxidative stress levels, accompanied by low expression of HO-1 and high expression of NOX1 and NOX4. Subsequently, elevated oxidative stress induced increased apoptosis in smooth muscle and endothelial cells, as evidenced by significant decreases in CD31 and α-smooth muscle actin expression in the CSD group, demonstrated through Western blotting and immunofluorescence assays. Endothelial cell apoptosis led to a significant decrease in endothelial nitric oxide synthase, resulting in lowered levels of nitric oxide and cyclic guanosine monophosphate, which severely impaired the erectile mechanism. Additionally, activation of the transforming growth factor β1 fibrotic pathway led to increased levels of tissue fibrosis, resulting in irreversible damage to the penile tissue in the CSD group.

CLINICAL IMPLICATIONS

Our study lacks further exploration of the molecular mechanisms linking CSD and ED, representing a future research focus for potential targeted therapies.

STRENGTHS AND LIMITATIONS

Our findings demonstrated that CSD significantly impairs erectile function in rats.

CONCLUSION

CSD severely impairs erectile function in rats. When exposed to CSD, rats exhibit significantly elevated oxidative stress levels, which lead to increased tissue apoptosis, endothelial dysfunction, and ultimately irreversible fibrotic changes in the tissues. Further researches into the potential molecular mechanisms are needed to identify possible therapeutic targets for ED related to CSD.

The relationship between remnant cholesterol and the risk of testosterone deficiency in US adults: a cross-sectional study based on the NHANES database

Background

Testosterone deficiency (TD) is an urgent health issue that requires attention, associated with various adverse health outcomes including cardiovascular diseases (CVD) and metabolic syndrome. Remnant cholesterol (RC) has emerged as a potential biomarker for cardiovascular risk, but its relationship with testosterone levels and TD has not been thoroughly investigated. This study aims to explore the association between RC and TD in adult American males using data from the National Health and Nutrition Examination Survey (NHANES).

Methods

This cross-sectional study utilized data from three NHANES cycles (2011-2016), including 2,848 adult male participants. RC was calculated as total cholesterol minus high-density lipoprotein cholesterol (HDL) and low-density lipoprotein cholesterol (LDL). TD was defined as total testosterone levels below 300 ng/dL. Multivariable linear and logistic regression analyses, as well as smooth curve fitting and generalized additive models, were performed to assess the associations between RC and total testosterone levels and TD, adjusting for potential confounders. Subgroup analyses were conducted based on age, BMI, smoking status, diabetes, hypertension, CVD, and chronic kidney disease (CKD).

Results

Higher RC levels were significantly associated with lower total testosterone levels (β = -53.87, 95% CI: -77.69 to -30.06, p<0.001) and an increased risk of TD (OR = 1.85, 95% CI: 1.29 to 2.66, p=0.002) in fully adjusted models. When RC was analyzed as quartiles, participants in the highest quartile (Q4) had significantly lower total testosterone levels (β = -62.19, 95% CI: -93.62 to -30.76, p<0.001) and higher odds of TD (OR = 2.15, 95% CI: 1.21 to 3.84, p=0.01) compared to those in the lowest quartile (Q1). Subgroup analyses revealed consistent associations across different age groups, particularly strong in participants over 60 years, and in never smokers. The associations remained significant in both hypertensive and non-hypertensive groups, as well as in those with and without CKD. No significant interactions were found across subgroups.

Conclusion

This study demonstrates a significant inverse association between RC levels and total testosterone levels, along with a positive association with the risk of TD. These findings suggest that RC could serve as a valuable biomarker for early identification of individuals at risk for TD. Future longitudinal studies are needed to confirm these findings and explore the underlying mechanisms.

Value of the triglyceride-glucose index and related parameters in heart failure patients

The triglyceride-glucose (TyG) index, proven to be a crucial insulin resistance biomarker (better than the Homeostasis Model Assessment for Insulin Resistance), is simple and non-invasive. Recently, indisputable evidence has shown that the TyG index is strongly associated with cardiovascular disease [CVD, including atherosclerosis, heart failure (HF), and hypertension] prognosis and mortality. Nevertheless, the value of the TyG index in HF patients treated with sodium-glucose cotransporter 2 inhibitors (SGLT2is) has not been systematically evaluated. Therefore, in this review, we summarized the value of the TyG index and its related parameters as markers of CVD, especially HF. Furthermore, we addressed the use of SGLT2is and GLP-1 receptor antagonists in HF patients. Finally, we summarized the mechanism of the "obesity paradox."

Association between life's essential 8 and testosterone deficiency in US men: findings from national health and nutrition examination survey (NHANES) 2011-2016

Background

Testosterone deficiency (TD) is closely associated with cardiovascular diseases (CVD). We intended to explore the association of Life's Essential 8 (LE8), the recently updated measurement of cardiovascular health, with the prevalence of TD among US male adults.

Methods

The population-based cross-sectional study selected male adults aged 20 years or older from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2016. According to the American Heart Association definitions, the LE8 score was measured on a scale of 0-100, and divided into health behavior and health factor scores, simultaneously. Furthermore, these scores were categorized into low (0-49), moderate (50-79), and high (80-100) classifications. TD is defined as a total testosterone level below 300ng/dL. Correlations were investigated by weighted multivariable logistic regression, and the robustness of the results were verified by subgroup analysis.

Results

A total of 4971 male adults with an average age of 47.46 ± 0.41 years were eligible for the final analyses, of whom 1372 were determined to have TD. The weighted mean LE8 score of the study population was 68.11 ± 0.41. After fully adjusting potential confounders, higher LE8 scores were significantly associated with low risk of TD (odd ratio [OR] for each 10-point increase, 0.79; 95% CI, 0.71-0.88) in a linear dose-response relationship. Similar patterns were also identified in the association of health factor scores with TD (OR for each 10-point increase, 0.74; 95% CI, 0.66-0.83). These results persisted when LE8 and health factor scores was categorized into low, moderate, and high groups. The inversed association of LE8 classifications and TD remained statistically significant among older, obese, and men without CVD.

Conclusions

LE8 and its health factor subscales scores were negatively associated with the presence of TD in linear fashions. Promoting adherence to optimal cardiovascular health levels may be advantageous to alleviate the burden of TD.

Predictive power of lipid-related indicators for testosterone deficiency: a comparative analysis, NHANES 2011-2016

BACKGROUND

Studies have shown that lipid-related indicators are associated with testosterone deficiency. However, it is difficult to determine which indicator is the most accurate predictor of testosterone deficiency. We aimed to identify the lipid-related indicators most predictive of testosterone deficiency in adults in the United States.

METHODS

This observational research was conducted on a population aged ≥ 20 years. By plotting the receiver operating characteristic curve (ROC) and obtaining the corresponding area under the curve (AUC) value, we assessed the predictive capacity of TyG, WTI, LAP, and VAI for testosterone deficiency. We compared the area under the curve (AUC) values of these measures to determine if there were any statistically significant differences. The relationship between lipid-related indices and testosterone hormones was investigated using regression modeling, eXtreme Gradient Boosting (XGBoost) modeling, and sensitivity analysis.

RESULTS

A total of 3,272 eligible participants were included in the study. Testosterone deficiency was found to exist in 20.63% of the participants. Subjects with higher lipid-related markers were more likely to have lower testosterone levels. LAP was the best predictor of testosterone deficiency in ROC analysis over other indicators (AUC = 0.7176, (95% CI: 0.6964-0.7389)).

CONCLUSION

LAP is the most straightforward and convenient indicator for identifying testosterone deficiency in clinical practice.

A negative association between triglyceride glucose-body mass index and testosterone in adult males: a cross-sectional study

Background and objectives

Insulin resistance (IR) is closely related to the decline or deficiency of testosterone in males. Triglyceride glucose-body mass (TyG-BMI) is considered to be a novel indicator of IR. We conducted this analysis to investigate the association between TyG-BMI and male testosterone, and to explore whether its ability to predict testosterone deficiency is superior to HOMA-IR and TyG.

Methods

This was a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES, 2011-2016). The TyG-BMI index was calculated from serum triglyceride, fasting plasma glucose and BMI. The association of TyG-BMI with male testosterone was estimated by weighted multivariable regression.

Results

We included 3394 participants for the final analysis. After adjusting for confounders, TyG-BMI was found to show an independent negative association with testosterone (β=-1.12, 95%CI: -1.50, -0.75, P<0.0001). Multivariate-adjusted beta also showed testosterone levels were significantly lower in the two highest TyG-BMI group (Q3, Q4) compared to the lowest group (Q1). Similar results were seen in all of the subgroup populations by stratified analysis (all P-interaction >0.05). Furthermore, ROC curve analysis indicated that the area under the curve of TyG-BMI index (0.73, 95% CI: 0.71, 0.75) was larger than that of HOMA-IR index (0.71, 95% CI: 0.69, 0.73) and TyG index (0.66, 95% CI: 0.64, 0.68).

Conclusion

Our result suggested a negative association between TyG-BMI index and testosterone in adult males. The predictability of the TyG-BMI index for testosterone deficiency is better than that of HOMA-IR index and TyG index.

Association of lipid accumulation products with testosterone deficiency in adult American men: A cross-sectional study

PURPOSE

Testosterone deficiency and changes in testosterone levels are important in men's health and may be associated with fat accumulation. In order to investigate the connection between testosterone and fat accumulation in adult males, we employed lipid accumulation product and compared it to triglyceride-glucose and Homeostasis Model Assessment of Insulin Resistance.

MATERIALS AND METHODS

An intersecting surface research of participators from 2013 to 2014 was carried out using National Health and Nutrition Examination Survey, in addition, participants from 2015 to 2016 were selected. Using multivariate adjusted logistic regression, the connection between lipid accumulation product, testosterone levels, and testosterone insufficiency was investigated, smoothed curve fitting was calculated to integrate non-linear relationships, and subgroup analysis was performed to identify sensitive populations.

RESULTS

After removing all potential confounders, testosterone levels in 1651 subjects tended to decrease with increasing continuous variable lipid accumulation product (β = -0.49, 95% confidence interval [-0.77, -0.22], p = 0.0005) and adding the chance of testosterone deficiency (odds ratio = 1.01, 95% confidence interval [1.01, 1.01], p < 0.0001). In the lipid accumulation product quartile, testosterone levels decreased the most (β = -77.65, 95% confidence interval [-110.99, -44.31], p < 0.0001) and the risk of testosterone deficiency was highest (odds ratio = 2.76, 95% confidence interval [1.47, 5.20], p = 0.0016). The area under the curve values were 0.718 (95% confidence interval: 0.688-0.750) for lipid accumulation product, 0.723 (95% confidence interval: 0.689-0.756) for Homeostasis Model Assessment of Insulin Resistance, and 0.673 (95% confidence interval: 0.640-0.708) for triglyceride-glucose, with no statistical difference between lipid accumulation product and Homeostasis Model Assessment of Insulin Resistance comparisons. The cut-off value of lipid accumulation product ≥52.408 predicted testosterone deficiency with good sensitivity and specificity.

CONCLUSION

Higher lipid accumulation product was linked to a higher incidence of testosterone loss and inadequate, especially in hypertensive and non-smoker. Lipid accumulation product is a better predictor of testosterone deficiency than triglyceride-glucose and does not differ significantly from the Homeostasis Model Assessment of Insulin Resistance phase.

Dietary inflammatory potential and psoriasis: A cross-sectional study

Diet is an important source of inflammation, and diet-induced inflammation might be associated with the etiopathogenesis of psoriasis. This study aimed to explore the relationship between dietary inflammatory index (DII), a literature-derived dietary tool to measure individual dietary inflammatory potential, and incident psoriasis. This was a cross-sectional study based on the 2003-2006 and 2009-2014 National Health and Nutrition Examination Surveys. The calculation of DII was based on 24-h dietary recall. Psoriasis was defined by a self-reported medical questionnaire. Logistic regressions were introduced to calculate the odds ratio (OR) and 95% confidence interval (CI) of psoriasis relative to DII. Restricted cubic splines (RCS) were used to test the nonlinear relationship in the regression model. A total of 13 284 participants with an average age of 48.94 ± 17.71 years were enrolled. The prevalence rate psoriasis was 2.88% (95% CI 2.61, 3.18). Incident psoriasis was not associated with DII in a multivariable logistic regression model (OR = 1.00, 95% CI 0.89, 1.11). Compared to participants in the lowest DII tertile, OR for those in the highest was 0.81 (95% CI 0.51, 1.28, P for trend = 0.0974). Subgroup analysis indicated that DII was still not associated with psoriasis in participants with different population settings. RCS showed that DII was not associated with psoriasis in either an overall or a nonlinear manner. Although a proinflammatory diet could lead to several health risks, psoriasis occurrence might not be associated with dietary inflammatory potential in this cross-sectional study.