The association between serum cholesterol levels and mild-to-moderate cognitive impairment in the Suita Study and evidence from other epidemiological studies.

BACKGROUND: Serum cholesterols are well-documented markers of cardiovascular diseases; however, their association with cognitive well-being is uncertain. This study investigated the association between serum cholesterol levels and mild-to-moderate cognitive impairment. METHODS: Epidemiological evidence on the role of total cholesterol (TC), high-density lipoprotein cholesterol (HDLC), non-HDL-C, and low-density lipoprotein cholesterol (LDL-C) in cognitive impairment was highlighted. Then, data from 6216 Japanese individuals, aged ≥50 years, from the Suita Study were analyzed. Mini-Mental State Examination (MMSE) scores <27 and < 24 were used to define cognitive impairment. Logistic regression was used to calculate the odds ratios (ORs) and 95 % confidence intervals (95 % CIs) for cognitive impairment. RESULTS: Epidemiological studies investigating the association between serum cholesterol and cognitive impairment have shown conflicting findings: elevated risk with certain lipid components in some studies and no association in others. In the Suita Study, HDL-C < 40 mg/dL was associated with cognitive impairment: ORs (95 % CIs) = 1.36 (1.08, 1.72) for MMSE <27 and 1.61 (1.00, 2.60) for MMSE <24. Non-HDL-C ≥ 200 mg/dL was also associated with cognitive impairment: ORs (95 % CIs) = 1.53 (1.02, 2.31) for MMSE <27 and 1.80 (1.16, 2.79) for MMSE <24. No such associations were detected with TC. CONCLUSION: While epidemiological evidence remains inconsistent, the Suita Study showed that decreased HDL-C and increased non-HDL-C, but not increased TC, were associated with mild-to-moderate cognitive impairment. Management of serum cholesterol levels should be considered to prevent cognitive impairment.

Association of non-high-density lipoprotein to high-density lipoprotein ratio (NHHR) with prognosis in cancer survivors: a population-based study in the United States.

Background: Patients with cancer frequently exhibit alterations in serum lipid profiles associated with chemotherapy. It has been reported that lipid distribution in cancer correlates with tumor progression. However, the prognostic value of serum lipid biomarkers in cancer survivors remains a subject of debate. We aim to explore the relationship between non-high-density lipoprotein to high-density lipoprotein ratio (NHHR) and the prognosis of cancer survivors. Methods: In this study, we analyzed cancer survivor data from the National Health and Nutrition Examination Survey (NHANES) from 1999-2000 to 2017-2018. The study included prospective cohorts that included total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C) levels as well as mortality data. Weighted multivariate cox regression models, competing risk models and restricted cubic spline (RCS) models were applied to investigate the association between NHHR and cancer survival. Subgroup and sensitivity analyses were performed to test the robustness of the results. Results: This study involved 4,177 participants, representing about 19.6 million U.S. adults. After adjustment for various factors, the lower NHHR group (≤1.64) had a 31% (HR 1.31; 95% CI [1.11,1.54], p = 0.001) higher risk of death from any cause compared to the higher NHHR group. The link between NHHR and mortality remained stable across most subgroups, with notable interactions for smoking (p = 0.006) and diabetes status (p = 0.046). A J-shaped pattern was observed between NHHR and all-cause mortality, significantly among obesity-related cancer survivors (overall association test p-value = 0.0068, non-linear association test p-value = 0.0016). However, a non-significant negative correlation was observed for cancer-specific mortality (overall association test p-value = 0.48, non-linear association test p-value = 0.66). Considering the competitive risk of heart disease and cancer-specific mortality, there is no difference between the high and low NHHR groups, while the low NHHR group showed an increased risk of non-specific causes of death (p < 0.001). Conclusion: The results of this study suggest that NHHR is an important indicator that is strongly associated with all-cause mortality in cancer survivors, and that this relationship may be influenced by the interaction of diabetes and smoking status. This finding may provide important information for future research and patient management.

Sex and Age Differences in the Effects of Food Frequency on Metabolic Parameters in Japanese Adults.

Owing to differences in dietary preferences between men and women, the associations between dietary intake frequency and metabolic parameters may differ between the sexes. A retrospective observational study of the checkup findings of 3147 Japanese individuals (968 men, 2179 women) aged 20-59 years was conducted to examine differences in dietary habits and associations between food frequency and blood parameters (eGFR, HbA1c, uric acid, and lipids) by sex and age. Males were more likely to consume meat, fish, soft drinks, and alcohol, whereas women were more likely to consume soybeans, dairy products, vegetables, fruits, and snacks. Multivariate linear regression models adjusted for age and BMI revealed that meat intake frequency was positively associated with HbA1c (ß = 0.007, p = 0.03) and negatively associated with eGFR (ß = -0.3, p = 0.01) only in males, whereas fish intake frequency was positively associated with eGFR (ß = 0.4, p = 0.005) only in females. Egg and soy intake frequencies were positively and negatively associated with non-HDL-C (egg: ß = 0.6, p = 0.02; soy: ß = -0.3, p = 0.03) only in females. Alcohol consumption frequency was associated with uric acid (M: ß = 0.06, p < 0.001; F: ß = 0.06, p < 0.001) and HDL-C (M: ß = 1.0, p < 0.001; F: ß = 1.3, p < 0.001) in both sexes. Future research is needed to determine whether varying the emphasis of dietary guidance by sex and age group is effective, since the effects of dietary preferences on metabolic parameters vary by age and sex.

The predictive significance of uric acid to high density lipoprotein- cholesterol ratio and uric acid for the severity and mortality of coronavirus disease-19.

OBJECTIVE: The non-invasive and inexpensive predictive indicators seem to be essential for the evaluation of coronavirus disease-19 (COVID-19) prognosis. Uric acid to high-density lipoprotein-cholesterol ratio (UHR) have been known as inflammatory and metabolic biomarker in some disorders. This study aimed to evaluate the usefulness of serum uric acid (UA) and UHR values on admission as prognostic indicators for the severity and mortality of COVID-19. Regression models were accomplished to assess the association between UA and UHR with the severity and mortality of COVID-19. RESULTS: This study was performed with 424 confirmed COVID-19 patients. The mean UA and UHR values of the severe group and deceased group were statistically higher than those mild group and survivor group, respectively (P < 0.05). Compared to the survivor cases, deceased subjects had lower serum concentrations of HDL-c (p < 0.05). Multivariate logistic regression analysis showed that UHR and UA values statistically are correlated with the severity (OR = 1.20 CI:1.07-1.35, OR = 1.19 CI:1.023-1.381 respectively) and mortality (OR = 10.04 CI:1.50-67.30, OR = 10.73 CI:1.47-87.11, respectively) of COVID-19. Compared with a reference range, serum UA levels ≥ 7.3 mg/dl and a UHR value greater than 0.185 increase the risk of critical care of COVID-19 almost 2.5 and 3.5 times, respectively. In summary, our results revealed that UHR index value and serum UA levels are useful biochemical indicators for predicting the severity and mortality of COVID-19.

Impact of risk factors on intervened and non-intervened coronary lesions.

INTRODUCTION: In-stent restenosis (ISR) and aggravated non-intervened coronary lesions (ANL) are two pivotal aspects of disease progression in patients with coronary artery disease (CAD). Established risk factors for both include hyperlipidemia, hypertension, diabetes, chronic kidney disease, and smoking. However, there is limited research on the comparative risk factors for the progression of these two aspects of progression. The aim of this study was to analyze and compare the different impacts of identical risk factors on ISR and ANL. METHODS: This study enrolled a total of 510 patients with multiple coronary artery lesions who underwent repeated coronary angiography (CAG). All patients had previously undergone percutaneous coronary intervention (PCI) and presented non-intervened coronary lesions in addition to the previously intervened vessels. RESULTS: After data analysis, it was determined that HbA1c (OR 1.229, 95% CI 1.022-1.477, P=0.028) and UA (OR 1.003, 95% CI 1.000-1.005, P=0.024) were identified as independent risk factors for ISR. Furthermore, HbA1c (OR 1.215, 95% CI 1.010-1.460, P=0.039), Scr (OR 1.007, 95% CI 1.003-1.017, P=0.009), and ApoB (OR 1.017, 95% CI 1.006-1.029, P=0.004) were identified as independent risk factors for ANL. The distribution of multiple blood lipid levels differed between the ANL only group and the ISR only group. Non-HDL-C (2.17 mmol/L vs. 2.44 mmol/L, P=0.007) and ApoB (63.5 mg/dL vs. 71.0 mg/dL, P=0.011) exhibited significantly higher values in the ANL only group compared to the ISR only group. CONCLUSIONS: Blood glucose levels and chronic kidney disease were identified as independent risk factors for both ISR and ANL, while elevated lipid levels were only significantly associated with ANL. In patients with non-intervened coronary lesions following PCI, it is crucial to assess the concentration of non-HDL-C and ApoB as they serve as significant risk factors.

High-density lipoprotein cholesterol level and risk of muscle strength decline and sarcopenia in older adults.

BACKGROUND: Recent studies have demonstrated that very high high-density lipoprotein cholesterol (HDL-C) level was paradoxically linked with higher risk of cardiovascular mortality, all-cause mortality, and several age-related diseases. However, whether very high HDL-C level is associated with a higher risk of sarcopenia in older adults remains unclear. We aimed to investigate the association between HDL-C level and the risk of developing sarcopenia and low grip strength over time in older adults. METHODS: Participants were from the ongoing China Health and Retirement Longitudinal Study (CHARLS), which includes a nationally representative sample of adults aged ≥45 years and was performed from 2011 to 2020 with follow-ups every two to three years. The current study included 4031 participants aged ≥60 years. Muscle health-related data were collected in waves 2011, 2013, and 2015. Based on HDL-C level at baseline, participants were categorized into five groups: <35 mg/dl, 35-40 mg/dl, 40-60 mg/dl, 60-70 mg/dl and >70 mg/dl. The main outcomes were incident sarcopenia and incident low grip strength over follow-up. Low grip strength and sarcopenia were defined according to the 2019 Consensus by the Asian Working Group for Sarcopenia. Cox proportional-hazard regression was performed to investigate the association between HDL-C level and the risk of developing sarcopenia and low grip strength in older adults. RESULTS: The mean age of study sample was 67.3 (SD 6.1) years, and 49.6% were male. During an average 3.7-year follow-up, 409 (10.1%) participants developed sarcopenia and 771 (21.1%) developed low grip strength. Non-linear association was observed between HDL-C level and the hazard of developing sarcopenia and low grip strength. The multivariable model showed that compared to the reference group (40-60 mg/dl), older adults with very high HDL-C level (>70 mg/dl) had a significantly higher risk of developing sarcopenia (HR 1.69, 95% CI 1.28-2.23) and low grip strength (HR 1.23 95% CI 1.00-1.51). Stratified analyses by sex revealed similar association. CONCLUSIONS: We present the first longitudinal evidence that very high HDL-C level was associated with a significantly higher risk of muscle strength decline and developing sarcopenia in older adults. It is essential to monitor the muscle health of older adults with very high HDL-C level in clinical practice.

High-density lipoprotein cholesterol trajectory and new-onset metabolic dysfunction-associated fatty liver disease incidence: a longitudinal study.

BACKGROUND: Although high-density lipoprotein cholesterol (HDL-C) exerts a significant influence on the development of metabolic dysfunction-associated fatty liver disease (MAFLD), the association of dynamic changes in HDL-C levels with the risk of MAFLD remains unclear. Thus, the aim of the current study was to explore the association between the changing trajectories of HDL-C and new-onset MAFLD. The findings of this study may provide a theoretical basis for future personalized intervention and prevention targeting MAFLD. METHODS: A total of 1507 participants who met the inclusion criteria were recruited from a community-based physical examination population in Nanjing, China from 2017 to 2021. Group-based trajectory models were constructed to determine the heterogeneous HDL-C trajectories. The incidence of MAFLD in each group in 2022 was followed up, and the Cox proportional hazards regression model was applied to investigate the associations between different HDL-C trajectories and the risk of new-onset MAFLD. RESULTS: The incidences of MAFLD in the low-stable, moderate-stable, moderate-high-stable, and high-stable groups of HDL-C trajectory were 26.5%, 13.8%, 7.2% and 2.6%, respectively. The incidence rate of MAFLD in the order of the above trajectory groups exhibited a decreasing trend (χ2 = 72.55, Ptrend<0.001). After adjusting for confounders, the risk of MAFLD onset in HDL-C low-stable group was still 5.421 times (95%CI: 1.303-22.554, P = 0.020) higher than that in the high-stable group. Subgroup analyses of the combined (moderate high-stable and high-stable groups combined), moderate-stable and low-stable groups showed that sex, age, and overweight/obesity did not affect the association between HDL-C trajectory and MAFLD risk. CONCLUSIONS: Persistently low HDL-C level is a risk factor for the onset of MAFLD. Long-term monitoring of HDL-C levels and timely intervention for those experiencing persistent declines are crucial for early prevention of MAFLD.

Strong associations between fasting lipids and glucose concentrations and ALT levels strengthened with increasing ALT quantiles.

BACKGROUND: A persistent redox state and excessive reactive species involved in carbohydrate and lipid metabolism lead to oxidative damage in the liver, however, how fasting plasma concentrations of lipids and glucose are associated with fasting blood levels of alanine transaminase (ALT) and aspartate transaminase (AST) remains to be evaluated in large-scale population. METHODS: A cross-sectional study with 182,971 residents aged 18 to 92 years; multidimensional stratified analyses including quantile linear regression analysis and sex stratification were adopted to improve the quality of the evidence. RESULTS: The associations between the concentrations of non-HDL-C and triglyceride and ALT levels were positive, stronger in males in each quantile of ALT levels and the coefficients expanded with increasing ALT levels at slopes of 3.610 and 5.678 in males and 2.977 and 5.165 in females, respectively. The associations between the HDL-C concentrations and ALT levels were negative, also stronger in males in each quantile and the coefficients expanded with increasing ALT levels at slopes of -7.839 in females and - 5.797 in males. The associations between glucose concentrations and ALT levels were positive, but stronger in females in each quantile and the coefficients expanded with increasing ALT levels at slopes of 1.736 in males and 2.177 in females, respectively. Similar pattern consist of relatively weaker coefficients and slops were observed between concentrations of non-HDL-C, triglyceride and glucose and AST levels. The associations between albumin concentration and concentrations of blood lipids and glucose were relatively steady across all quantiles. CONCLUSIONS: The dose dependent effect between blood concentrations of lipids and glucose and liver function changes suggests that excessive carbohydrate and lipid metabolism may cause subclinical liver damage. Long term sustained primary and secondary inflammatory factors produced in the liver might be transmitted to adjacent organs, such as the heart, kidneys, and lungs, to cause and/or exacerbate pathological changes in these visceral organs.

Non-HDL-C, Symptomatic Intracranial Arterial Stenosis, and Recurrent Vascular Risk in Minor Stroke.

AIM: We aimed to assess the association between non-high-density lipoprotein cholesterol (non-HDL-C) and symptomatic intracranial artery stenosis (sICAS), as well as the impact of non-HDL-C on recurrent vascular events in patients with mild ischemic stroke ( NIHSS score ≤ 5). METHODS: This prospective study was based on data from patients presenting within 72 hours of stroke occurrence. We included patients admitted to 8 Chinese hospitals between September 2019 and November 2021. The associations of non-HDL-C with sICAS and recurrent vascular risk were assessed using multivariate regression models and a restricted cubic spline analysis. RESULTS: Among the 2,544 patients analyzed at 12 months, 652 (25.6%) were diagnosed with sICAS. Elevated non-HDL-C was linked to a higher incidence of sICAS, and the adjusted odd ratios for quintile variables and continuous variables were 1.36 ([95% CI, 1.01-1.81]) and 1.14 ([95% CI, 1.04-1.24). In comparison to those in the first quintile, the adjusted hazard ratio of the fifth quintile of non-HDL-C was 1.19 ([95% CI 0.78-1.80]) for recurrent ischemic stroke and was 0.39 ([95% CI, 0.17-0.91]) for intracranialhemorrhage. CONCLUSIONS: The non-HDL-C level may be a useful predictor of sICAS. Higher non-HDL-C levels may be associated with a lower risk of intracranial hemorrhage in mild, noncardiogenic stroke, but not a higher risk of recurrent ischemic stroke.

Apolipoprotein E knockout, but not cholesteryl ester transfer protein (CETP)-associated high-density lipoprotein cholesterol (HDL-C) lowering, exacerbates muscle wasting in dysferlin-null mice.

BACKGROUND: Dysferlin-deficient limb-girdle muscular dystrophy type 2B (Dysf) mice are notorious for their mild phenotype. Raising plasma total cholesterol (CHOL) via apolipoprotein E (ApoE) knockout (KO) drastically exacerbates muscle wasting in Dysf mice. However, dysferlinopathic patients have abnormally reduced plasma high-density lipoprotein cholesterol (HDL-C) levels. The current study aimed to determine whether HDL-C lowering can exacerbate the mild phenotype of dysferlin-null mice. METHODS: Human cholesteryl ester transfer protein (CETP), a plasma lipid transfer protein not found in mice that reduces HDL-C, and/or its optimal adapter protein human apolipoprotein B (ApoB), were overexpressed in Dysf mice. Mice received a 2% cholesterol diet from 2 months of age and characterized through ambulatory and hanging functional tests, plasma analyses, and muscle histology. RESULTS: CETP/ApoB expression in Dysf mice caused reduced HDL-C (54.5%) and elevated ratio of CHOL/HDL-C (181.3%) compared to control Dysf mice in plasma, but without raising CHOL. Compared to the severe muscle pathology found in high CHOL Dysf/ApoE double knockout mice, Dysf/CETP/ApoB mice did not show significant changes in ambulation, hanging capacity, increases in damaged area, collagen deposition, or decreases in cross-sectional area and healthy myofibre coverage. CONCLUSIONS: CETP/ApoB over-expression in Dysf mice decreases HDL-C without increasing CHOL or exacerbating muscle pathology. High CHOL or nonHDL-C caused by ApoE KO, rather than low HDL-C, likely lead to rodent muscular dystrophy phenotype humanization.

Association between four insulin resistance surrogates and the risk of esophageal cancer: a prospective cohort study using the UK Biobank.

PURPOSE: This study explored the association between triglyceride-glucose (TyG), TyG index with body mass index (TyG-BMI), triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C), metabolic score for insulin resistance (IR) (METS-IR) and the risk of esophageal cancer. METHODS: A total of 388,900 participants from the United Kingdom Biobank from 2006 to 2010 were included. Fine-Gray models, restricted cubic spline (RCS), and receiver operating characteristic (ROC) curves were used to assess the association between the four IR surrogates and the risk of esophageal cancer, specifically, esophageal adenocarcinoma (EAC) and esophageal squamous cell carcinoma (ESCC). RESULTS: Ten years after recruitment, 0.16% (95%CI 0.11-0.26%) had esophageal cancer and 4.17% (95%CI 3.86-4.46%) are deceased. For each standard deviation increase in the TyG index, TyG-BMI, TG/HDL-C, and METS-IR, the risk of EAC increased by Hazard ratios (HR)1.16, 1.37, 1.08, and 1.36, respectively (all P < 0.05), while the risk of ESCC decreased by HRs 0.80, 0.67, 0.77, and 0.65, respectively. RCS analysis indicated that most relationships were nonlinear (P < 0.05). ROC curves showed that METS-IR had a more robust diagnostic efficacy than TyG, TyG-BMI, and TG/HDL-C. CONCLUSION: TyG index, TyG-BMI, TG/HDL-C, and METS-IR were closely associated with the risk of EAC and ESCC. Additionally, METS-IR surpassed the other three IR indices in predicting and diagnosing the risks of EAC and ESCC. The METS-IR is expected to become a more effective metric for identifying populations at early risk of esophageal cancer and for improving risk stratification.

Non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and hypertension in American adults: a NHANES cross-sectional study.

Objectives: The relationship between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and hypertension remains uncertain, warranting further investigation. This study aims to elucidate the association between NHHR and hypertension. Methods: A comprehensive cross-sectional stratified survey involving 30,602 participants aged 20 years and older was conducted using the National Health and Nutrition Examination Survey (NHANES) dataset from 2001 to 2018. NHHR was calculated as [total cholesterol (TC) - high-density lipoprotein cholesterol (HDL-C)]/HDL-C. The relationship between NHHR and hypertension was examined using weighted multiple linear regression, smooth curve fitting, hierarchical analysis, and interaction testing. Results: The mean age of participants was 49.82 ± 17.64 years, with 15,266 women included. The average NHHR was 2.94 ± 0.56. A positive correlation between NHHR and hypertension was observed. Stratification of NHHR into quartiles, in the fully adjusted Model 3, revealed that individuals in the highest NHHR quartile had a 60% increased risk of hypertension for each unit increase in NHHR compared to those in the lowest quartile. Interaction tests indicated that the relationship between NHHR and hypertension remained consistent across subgroups, except for gender, age, education, and smoking status, which influenced this association. Conclusion: Analysis of NHANES data from 2001 to 2018 demonstrated a consistent positive association between NHHR and hypertension. NHHR may provide potential assistance in hypertension prevention and diagnosis.

The newly proposed plasma-glycosylated hemoglobin A1c/High-Density lipoprotein cholesterol ratio serves as a simple and practical indicator for screening metabolic associated fatty liver disease: an observational study based on a physical examination population.

BACKGROUND: Glycotoxicity and lipotoxicity are key pathophysiological mechanisms underlying the development of metabolic associated fatty liver disease (MAFLD). The primary objective of this study is to investigate the association between the newly proposed Plasma-Glycosylated Hemoglobin A1c/High-Density Lipoprotein Cholesterol Ratio (HbA1c/HDL-C ratio) and the risk of MAFLD. METHODS: A study population of 14,251 individuals undergoing health examinations was included. The association between the HbA1c/HDL-C ratio and MAFLD was analyzed using multivariable logistic regression and restricted cubic spline (RCS) analysis. Exploratory analyses were conducted to assess variations in this association across subgroups stratified by gender, age, body mass index (BMI), exercise habits, drinking status, and smoking status. The discriminatory value of the HbA1c/HDL-C ratio and its components for screening MAFLD was evaluated using receiver operating characteristic (ROC) curves. RESULTS: A total of 1,982 (13.91%) subjects were diagnosed with MAFLD. After adjusting for confounding factors, we found a significant positive association between the HbA1c/HDL-C ratio and MAFLD [odds ratio (OR) 1.34, 95% confidence interval (CI): 1.25, 1.44]. No significant differences in this association were observed across all subgroups (All P for interaction > 0.05). Furthermore, through RCS analysis, we observed a nonlinear positive correlation between the HbA1c/HDL-C ratio and MAFLD (P for non-linearity < 0.001), with a potential threshold effect point (approximately 3 for the HbA1c/HDL-C ratio). Beyond this threshold point, the slope of the MAFLD prevalence curve increased rapidly. Additionally, in further ROC analysis, we found that for the identification of MAFLD, the HbA1c/HDL-C ratio was significantly superior to HbA1c and HDL-C, with an area under the curve (AUC) and optimal threshold of 0.81 and 4.08, respectively. CONCLUSIONS: Our findings suggest that the newly proposed HbA1c/HDL-C ratio serves as a simple and practical indicator for assessing MAFLD, exhibiting well-discriminatory performance in screening for MAFLD.

A longitudinal study on the impact of the TyG Index and TG/HDL-C ratio on the risk of type 2 diabetes in Chinese patients with prediabetes.

OBJECTIVE: To elucidate the impact and predictive value of the Triglyceride Glucose Index (TyG) and the ratio of Triglycerides to High-Density Lipoprotein Cholesterol (TG/HDL-C) in identifying the risk of diabetes progression in Chinese individuals with prediabetes. METHODS: This longitudinal study enrolled 15,012 prediabetic adults from the Rich Healthcare Group between 2010 and 2016. Diabetes was defined as self-reported diabetes or a fasting glucose level ≥ 7.0 mmol/L. The Cox proportional hazards models was utilized to assess the relationship between the two indices and the risk of developing diabetes. The predictive efficacy of the two markers was gauged by the area under the curve (AUC). RESULTS: Over a median follow-up period of 2.87 years, 1,730 (11.5%) prediabetic participants developed diabetes. The adjusted hazard ratios for the top quartile of the TyG index and the TG/HDL-C ratio were 2.03 (95% confidence interval [CI]: 1.71-2.40) and 2.59 (95% CI: 2.20-3.05), respectively, compared to the lowest quartile. A significant trend of increasing diabetes risk with higher quartiles of both indices was observed. The AUC for the adjusted prediction model for prediabetes-to-diabetes transition was 0.726 for the TyG index and 0.710 for the TG/HDL-C ratio. The difference in AUCs was statistically significant (P = 0.03). CONCLUSIONS: The baseline TyG index or TG/HDL-C ratio was significantly associated with an increased risk of diabetes in prediabetic individuals. The TyG index demonstrated superior predictive accuracy, underscoring its importance in preventing diabetes in prediabetic individuals.

Analysis of the Association Between Changes in the GGT/HDL-C Ratio and the Risk of Diabetes Mellitus Based on a Latent Class Growth Mixed Modeling: A Longitudinal Cohort Study of Adults in China.

Objective: Longitudinal cohort analysis was performed to identify the association between changes in the gamma-glutamyl transferase (GGT)/high-density lipoprotein cholesterol (HDL-C) ratio trajectory and the risk of developing diabetes mellitus. Methods: This was a retrospective cohort study. We analyzed the latent trajectory classes of changes in the GGT/HDL-C ratio by applying a latent class mixture model with healthy individuals who underwent medical checkups from January 2017 to December 2021 as the study subjects. To analyze the effect of the GGT/HDL-C ratio trajectory classes on new-onset diabetes mellitus, we then applied a multivariate Cox proportional risk regression model. Statistical analysis was performed using the R-software with the LCMM package. Results: The study cohort comprised 3410 participants. All participants were followed up for 5 years, and 95 developed diabetes (4-year incidence of 2.78%). By applying the latent class mixed model, we categorized participants into three trajectory groups: low-stability group (n = 2253), medium-increase group (n = 941), and high-increase group (n = 216). The Cox proportional risk regression model analysis showed that the hazard ratio (95% confidence interval) for the incidence of diabetes mellitus was 1.73 (1.04-2.87) in the medium-increase group and 3.96 (2.11-7.44) in the high-increase group. Moreover, we calculated the estimated model-based levels and linear slopes of the GGT/HDL-C ratios for each age group between 26 and 85 years at 10-year intervals, respectively. The results indicated the strongest correlation between the GGT/HDL-C ratio slope and diabetes in the 46-55 year age group, with an odds ratio of 1.51 (1.25-1.83). Conclusion: A large increase in the GGT/HDL-C ratio was highly associated with the risk of developing diabetes mellitus. This result suggests that vigilance for changes in the GGT/HDL-C ratio trajectory during community health screening can help identify potential patients with diabetes, enabling early intervention and treatment.

Exploring the Relationship between Lipid Profile, Inflammatory State and 25-OH Vitamin D Serum Levels in Hospitalized Patients.

Anomalies in lipid metabolism involve multifactorial pathogenesis, among other factors, being associated with an inflammatory state and disturbances in vitamin D status. The literature has focused on the binary relationships between inflammation and dyslipidemia, vitamin D and dyslipidemia, or vitamin D and inflammation. Our study aimed to explore the link between all these three factors: 25-OH vitamin D serum levels, the presence of inflammation assessed through serum C-reactive protein (CRP), and serum lipid profile in 2747 hospitalized patients. Our results showed a positive correlation of HDL-C with 25 (OH) vitamin D and a negative correlation of HDL-C with CRP. This relationship had different patterns in the statistical network analysis. The network analysis patterns are preserved for males and females, except for the relationship between CRP and vitamin D, which is present in male cases and absent in females. The same triangular relationship between all three-CRP, vitamin D, and HDL-C was found with different strengths of partial correlation in obese and non-obese patients. This pattern was similar in patients with and without fatty liver. A shifted pattern was found in the network analysis of hypertensive patients. The CRP was negatively correlated with vitamin D and HDL-C, and vitamin D was positively correlated with HDL-C in non-hypertensive patients. Castelli's Risk indexes I and II were positively associated with CRP, suggesting that increased cardiovascular risk is proportional to an inflammatory state. The triad formed by altered serum lipid levels, inflammation, and vitamin D represents a complex relationship marked by specific dynamics between lipidic fractions such as HDL-C and C-reactive protein and vitamin D.

Baseline and change in serum lipid and uric acid level over time and incident of nonalcoholic fatty liver disease (NAFLD) in Chinese adults.

Observational studies have shown that non-alcoholic fatty liver disease (NAFLD) is strongly associated with metabolic dysfunction. However, there is a paucity of research on whether changes in indicators of serum metabolism contribute to the development of NAFLD. This study was conducted with 4084 participants who underwent healthy physical examinations at Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China, in 2022 and 2023. Baseline and follow-up measurements, including anthropometric data, abdominal ultrasound and blood samples were collected. The diagnosis of NAFLD was based on the 2010 Chinese Guidelines on Diagnosis and Treatment of NAFLD. Multiple logistic regression was utilized to analyze the odds ratios (ORs) for the 1-year risk of NAFLD in connection with both baseline metabolic indicators and changes in metabolic indicators observed over the course of 1 year. A total of 3425 study participants who were free of NAFLD at baseline, including 1146 men and 2279 women, were included in the final analysis. The mean age was 34.43 ± 7.20 years. Participants who developed NAFLD were older, male and had higher levels of body mass index (BMI), blood pressure, fasting blood glucose (FBG), triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), free triiodothyronine (fT3), uric acid (UA), alanine aminotransferase (ALT) and aspartate aminotransferase (AST); and lower levels of high-density lipoprotein cholesterol (HDL-C) and free thyroxine (fT4) (all P values < 0.05). The multivariable model showed that baseline BMI, diastolic blood pressure (DBP), TG, TC, HDL-C, LDL-C, UA, fT4, fT3, ALT and changes in TG, HDL-C, and UA were associated with the 1-year risk of developing NAFLD. The risk of NAFLD increased by 56% [OR 1.56, 95% Confidence Interval (CI) 1.32-1.87] and 40% (OR 1.40, 95% CI 1.19-1.64) for each standard deviation (SD) increase in altered TG values (1.01 mmol/L) and altered UA values (55 µmol/L) respectively. Conversely, for each SD (0.27 mmol/L) increase in HDL-C change, the 1-year risk of incident NAFLD was reduced by 50% (OR 0.50, 95% CI 0.40-0.62). The present study suggested that increases in TG and UA, and decreases in HDL-C, significantly increase the risk of developing NAFLD. Therefore, more attention should be paid to these factors in the management and prevention of NAFLD.

The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and prevalence of urinary stones in US adults: a cross-sectional NHANES study.

BACKGROUND: This study examines the association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and urinary stones in American adults. METHODS: We conducted a cross-sectional study utilizing the 2007-2018 National Health and Nutrition Examination Survey (NHANES) data set. The prevalence of urinary stones was determined based on patient-reported experiences of renal colic. We converted NHHR to natural logarithm (ln-NHHR) to align it better with our statistical analyses. Our analysis methods included weighted multivariate logistic regression, generalized additive model (GAM), and application of smoothed curves to better elucidate the association between ln-NHHR and the prevalence of urinary stones. In addition, we conducted subgroup analyses and employed multiple imputation for sensitivity analyses. RESULTS: This study involved a total of 30,903 participants, with a 9.97% prevalence of urinary stones and reported colic experience. Elevated ln-NHHR levels were linked with a higher likelihood of urinary stones (OR = 1.20, 95% CI 1.07-1.35). Smooth curve fitting revealed an inverted U-shaped relationship, pinpointing a significant increase in urinary stone risk at ln-NHHR levels below 1.43 (OR = 1.40, 95% CI 1.19-1.64, p < 0.001). Notably, this correlation was stronger among Non-Hispanic Whites and those married or living with a partner. Multiple imputation analyses strengthened the confidence in our results. CONCLUSIONS: Our findings suggest a reverse U-shaped association between urinary stone occurrence and NHHR level, with a positive association at ln-NHHR < 1.43. This correlation was more pronounced in the Non-Hispanic White population and among those married or living with a partner.