Research on the difference between patients with coronary heart disease and healthy controls by surface enhanced Raman spectroscopy.

Coronary heart disease (CHD) is one of the primary causes of death globally. There are several diagnostic techniques for CHD at present, but they are invasive and with limited accuracy. In the work, measurement of human urine based on surface-enhanced Raman spectroscopy (SERS) was proposed to diagnose CHD. Urine samples of 157 CHD patients and 63 healthy controls (HC) were investigated by SERS. Statistical analysis of the measured data was then performed. It was found that there were intensity differences in nine Raman peaks (1223/1243/1272/1463/1481/1516/1536/1541/1550 cm-1) between CHD and HC in their average SERS spectrum. Furthermore, principal component analysis (PCA)-linear discriminant analysis (LDA) was then utilized to establish a prediction model to classify CHD and HC. It revealed that the accuracy, specificity and sensitivity of the prediction model validated by leave-one-patient-out cross validation (LOPOCV) were 84.09%, 92.06% and 80.89%, respectively. Therefore, the proposed method can be employed as a non-invasive, rapid and accurate tool for CHD diagnosis in clinical application.

Urinary metabolomic profiling reveals difference between two traditional Chinese medicine subtypes of coronary heart disease.

The World Health Organization has shown that coronary heart disease (CHD) is a more common cause of death than cancer. In traditional Chinese medicine (TCM), CHD is classified as a form of thoracic obstruction that can be divided in different subtypes including Qi stagnation with blood stasis (QS) and Qi deficiency with blood stasis (QD). Different treatment strategies are used based on this subtyping. Owing to the lack of scientific markers in the diagnosis of these subtypes, subjective judgments made by clinicians have limited the objective manner for utility of TCM in the treatment of CHD. Untargeted (UHPLC-QTOF-MS) and targeted (UHPLC-MS/MS) metabolomics approaches were employed to search significantly different metabolites related to the QS or QD subtypes of CHD with angina pectoris in this study. A total of 42 metabolites were obtained in the untargeted metabolomics analysis and 34 amino acids were detected in the targeted metabolomics analysis. In total, 16 metabolites were found significantly different among different groups. The results showed distinct metabolic profiles of urine samples not only between CHD patients and healthy controls, but also between the two subtypes of CHD. Pathway analysis of the significantly varied metabolites revealed that there were subtype-related differences in the activity of pathways. Therefore, urinary metabolomics can reveal the pathological changes of CHD in different subtypes, make the diagnosis of CHD in different subtypes in an objective manner and comprehensive and contribute to personalized treatment by providing scientific evidence.

Associations between urinary 6-sulfatoxymelatonin excretion and diabetic vascular complications or arteriosclerosis in patients with type 2 diabetes.

AIMS/INTRODUCTION: There are limited reports on the association between melatonin levels and vascular complications in patients with type 2 diabetes. The aim of this study was to determine the association between urinary 6-sulfatoxymelatonin, which is a urinary metabolite of melatonin, and diabetic vascular complications or arteriosclerosis in patients with type 2 diabetes. MATERIALS AND METHODS: This retrospective study included patients (167 patients with type 2 diabetes and 27 patients without diabetes adjusted for age and sex) admitted to the hospital who underwent measurement of urinary 6-sulfatoxymelatonin. The urinary 6-sulfatoxymelatonin/creatinine ratio (6-SMT) was calculated. RESULTS: The natural logarithmically scaled 6-SMT level (Ln 6-SMT) was significantly lower in type 2 diabetes patients (1.9 ± 1.1) compared with patients without diabetes (2.8 ± 1.0, P < 0.001). Multivariate linear regression analysis identified duration of diabetes, smoking status, urinary albumin-to-creatinine ratio, retinopathy and coronary heart disease as factors that could influence Ln 6-SMT levels in type 2 diabetes patients (R2  = 0.232, P < 0.001). Ln 6-SMT was associated with decreased odds of diabetic retinopathy, even after adjustment for various confounding factors (odds ratio 0.559, 95% confidence interval 0.369-0.846, P = 0.006). Similarly, Ln 6-SMT was associated with decreased odds of coronary heart disease (odds ratio 0.442, P = 0.030). CONCLUSIONS: Our results showed the presence of low levels of Ln 6-SMT in type 2 diabetes patients relative to patients without diabetes. Furthermore, Ln 6-SMT is an independent risk factor of diabetic retinopathy and coronary heart diseases. These findings suggest that 6-SMT could be a useful biomarker for the prediction of micro- and macrovasculopathies in patients with type 2 diabetes.

Urinary metabolites and risk of coronary heart disease: A prospective investigation among urban Chinese adults.

BACKGROUND AND AIMS: Studies have linked several metabolites to the risk of coronary heart disease (CHD) among Western populations, but prospective studies among Asian populations on the metabolite-CHD association remain limited. METHODS AND RESULTS: We evaluated the association of urinary metabolites with CHD risk among Chinese adults in a nested case-control study of 275 incident cases and 275 matched controls (127 pairs of men and 148 pairs of women). Fifty metabolites were measured by a predefined metabolomics panel and adjusted using urinary creatinine. Conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs). After adjusting for traditional CHD risk factors, urinary tryptophan showed a positive association with incident CHD: OR (95% CI) for the highest vs. lowest quartiles was 2.02 (1.15-3.56) among all study participants (p-trend = 0.02). The tryptophan-CHD association was more evident among individuals with dyslipidemia than among those without the condition (OR [95% CI] for the highest vs. lowest quartiles = 3.90 [1.86-8.19] and 0.74 [0.26-2.06], respectively; p-interaction<0.01). Other metabolites did not show significant associations with CHD risk among all study participants. However, a positive association of methionine with CHD risk was observed only among women (OR [95% CI] for the highest vs. lowest quartiles = 2.77 [1.17-6.58]; p-interaction = 0.03), and an inverse association of inosine with CHD risk was observed only among men (OR [95% CI] for the highest vs. lowest quartiles = 0.29 [0.11-0.81]; p-interaction = 0.04). CONCLUSION: Elevated urinary tryptophan may be related to CHD risk among Chinese adults, especially for those with dyslipidemia.

Identification of coronary heart disease biomarkers with different severities of coronary stenosis in human urine using non-targeted metabolomics based on UPLC-Q-TOF/MS.

BACKGROUND: Coronary heart disease (CHD) is the leading cause of death worldwide, and its pathogenesis has attracted much attention. Metabolomics serves as an important tool for diagnosing diseases and exploring their pathogenesis in recent years. In this study, CHD patients were studied by comparing them with normal subjects to elucidate biomarkers that are linearly correlated with the severity of coronary stenosis. METHODS: An ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) was used to analyze the urine metabolites of CHD patients and normal subjects. A total of 131 subjects included 27 patients who presented with 50-69% coronary stenosis, 22 with 70-89% stenosis, 29 with 90-99% stenosis, 24 with 100% stenosis, and 29 normal subjects. RESULTS: A total of 14 potential biomarkers associated with CHD were identified, and among them 4 biomarkers were linearly correlated with the severity of coronary stenosis in CHD patients. The metabolic pathways involved were amino acid metabolism, fatty acid metabolism, energy metabolism, and other pathways. CONCLUSION: This study identified the biomarkers and metabolic pathways that may be involved in the occurrence and development of CHD, laying a theoretical foundation for better diagnosis and treatment of CHD in the future.

Influence of drugs on the prospective diagnostic method for coronary heart disease with urine.

The morbidity of coronary heart disease (CHD) with high risks has been rising in recent years. A novel and noninvasive method based on surface-enhanced Raman spectroscopy (SERS) was proposed by Yang et al. (Analyst 143: 2235, 2018) to prospectively diagnose the arterial blockage by detecting platelet-derived growth factor-BB (PDGF-BB) in urine. Clinically, anti-platelet drugs (such as aspirin, statins and clopidogrel) are often used for ordinary CHD patients or patients with percutaneous coronary intervention (PCI). Therefore, whether the previous developed method can be applied to the CHD patients on long-term medication (more than 6 months) or post-PCI patients was investigated here. Firstly, urine samples of 13 CHD patients on long-term medication (aspirin, rosuvastatin, clopidogrel bisulfate) and 13 post-PCI patients were measured by the proposed method. Clinical data of coronary angiography results provided by Xin Hua Hospital and Yangpu District Central Hospital Antu Branch revealed that these 26 patients were with serious arterial blockage, however, characteristic Raman peak at 1509 cm-1 attributed to PDGF-BB was not observed in the SERS spectra of these 26 patients. In addition, an eight-day follow-up investigation was performed on a CHD patient with PCI three years ago and on long-term medication. It was found that the Raman peak at 1509 cm-1 could be only observed in the third and fourth day after suspending the drugs. Furthermore, SERS spectra of mixed solutions of PDGF-BB and aspirin, rosuvastatin, mixed solutions of these two drugs and clopidogrel bisulfate were analyzed. The Raman peak at 1509 cm-1 was not found in all these spectra, it indicated that all the three kinds of drugs could influence on the SERS signal of PDGF-BB. Therefore, the previous developed method is not suitable for CHD patients on long-term medication and post-PCI patients.

A Large-Scale, Multi-Center Urine Biomarkers Identification of Coronary Heart Disease in TCM Syndrome Differentiation.

Coronary heart disease (CHD) threatens human health. The discovery and assessment of potential biometabolic markers for different syndrome types of CHD may contribute to decipher pathophysiological mechanisms and identify new targets for diagnosis and treatment. On the basis of UPLC-Q-TOF/MS metabolomics technology, urine samples of 1072 participants from nine centers, including normal control, phlegm and blood stasis (PBS) syndrome and Qi and Yin deficiency (QYD) syndrome, and other syndromes of CHD, were conducted to find biomarkers. Among them, the discovery set ( n = 125) and the test set ( n = 337) were used to identify and validate biomarkers, and the validation set ( n = 610) was used for the application and evaluation of the support vector machine (SVM) prediction model. We discovered 15 CHD-PBS syndrome biomarkers and 12 CHD-QYD syndrome biomarkers, and the receiver-operator characteristic (ROC) area-under-the-curve (AUC) values of them were 0.963 and 0.990. The established SVM model has a good diagnostic ability and can well distinguish the two syndromes of CHD with a high predicted accuracy >98.0%. The discovery of biomarkers and metabolic pathways in different syndrome types of CHD provides a basis for the diagnosis and evaluation of CHD, thereby improving the accurate diagnosis and precise treatment level of Chinese medicine.

Urinary phthalate metabolites, coronary heart disease, and atherothrombotic markers.

Cross-sectional studies have described an association between exposure to phthalate esters and cardiovascular risk factors. However, the association with coronary heart disease (CHD) is still unclear. A total of 180 subjects randomly selected from 336 CHD patients, and 360 age- and sex-matched non-CHD controls were included from 2008 to 2011. Urinary metabolites of phthalate esters were measured by liquid chromatography-tandem mass spectrometry. The geometric means of urinary phthalates metabolites were significantly higher for the three Di-(2-ethylhexyl)-phthalate (DEHP) metabolites, mono-2-ethylhexyl phthalate (MEHP), mono-(2-ethyl-5-hydroxyhexyl) phthalate, and mono-(2-ethyl-5-oxohexyl) phthalate among CHD patients in-hospital than those of being discharged. Excluding 89 CHD patients of in-hospital and hospital discharge within 2 days, we found the urinary concentrations of MEHP, mono-n-butyl phthalate (MnBP), and mono-isobutyl phthalate (MiBP) of 91 CHD patients discharged ≥ 3 days were higher than those of controls. Among 451 participants, those with higher tertile levels of urinary MEHP, MnBP, and MiBP showed an increased risk for CHD compared to those with lowest tertile levels; the corresponding odds ratios (95% CI) were 2.77 (1.22-6.28), 2.90 (1.32-6.4), and 3.19 (1.41-7.21), respectively, after adjustment for confounders. Higher levels of hs-CRP, fibrinogen, and D-dimer were linked with increased levels of all DEHP metabolites in CHD patients. In conclusion, exposure to DEHP and dibutyl phthalates was positively associated with CHD and this relationship may be probably mediated via atherothrombosis.

Urinary Levels of Trimethylamine-N-Oxide and Incident Coronary Heart Disease: A Prospective Investigation Among Urban Chinese Adults.

Background Trimethylamine-N-oxide ( TMAO ), a diet-derived, gut microbial-host cometabolite, has been associated with adverse cardiovascular outcomes in patient populations; however, evidence is lacking from prospective studies conducted in general populations and non-Western populations. Methods and Results We evaluated urinary levels of TMAO and its precursor metabolites (ie, choline, betaine, and carnitine) in relation to risk of coronary heart disease ( CHD ) among Chinese adults in a nested case-control study, including 275 participants with incident CHD and 275 individually matched controls. We found that urinary TMAO , but not its precursors, was associated with risk of CHD . The odds ratio for the highest versus lowest quartiles of TMAO was 1.91 (95% CI, 1.08-3.35; Ptrend=0.008) after adjusting for CHD risk factors including obesity, diet, lifestyle, and metabolic diseases and 1.75 (95% CI, 0.96-3.18; Ptrend=0.03) after further adjusting for potential confounders or mediators including central obesity, dyslipidemia, inflammation, and intake of seafood and deep-fried meat or fish, which were associated with TMAO level in this study. The odds ratio per standard deviation increase in log- TMAO was 1.30 (95% CI, 1.03-1.63) in the fully adjusted model. A history of diabetes mellitus modified the TMAO - CHD association. A high TMAO level (greater than or equal to versus lower than the median) was associated with odds ratios of 6.21 (95% CI, 1.64-23.6) and 1.56 (95% CI, 1.00-2.43), respectively, among diabetic and nondiabetic participants ( Pinteraction=0.02). Diabetes mellitus status also modified the associations of choline, betaine, and carnitine with risk of CHD ; significant positive associations were found among diabetic participants, but null associations were noted among total and nondiabetic participants. Conclusions Our study suggests that TMAO may accelerate the development of CHD , highlighting the importance of diet-gut microbiota-host interplay in cardiometabolic health.

Noninvasive and prospective diagnosis of coronary heart disease with urine using surface-enhanced Raman spectroscopy.

A prospective diagnosis method for coronary heart disease (CHD) using human urine based on surface-enhanced Raman spectroscopy (SERS) is proposed, and could provide valuable information for judging whether to perform percutaneous coronary intervention (PCI) in clinics. Here, urine samples from 87 patients with CHD, including patients with PCI before operation (degree of cardiovascular congestion above 70%) and without PCI (degree of cardiovascular congestion under 70%), and 20 healthy humans were measured using SERS. Principal component analysis (PCA) combined with linear discriminant analysis (LDA) was employed to analyze the SERS spectra, revealing that the classification sensitivity and specificity were 90% and 78.9%, respectively, and the absolute value for loading of PC1 at 1509 cm-1 was the largest. Since platelet-derived growth factor-BB (PDGF-BB) is closely related to CHD, PDGF-BB aqueous solutions with various concentrations (1, 0.5, 0.1, 0.05 and 0.01 ppm) and a mixture of healthy human urine and PDGF-BB aqueous solutions were then investigated in this work, and it was found that the Raman peak at 1509 cm-1 may be attributed to PDGF-BB. Moreover, the measured SERS spectra of all the urine samples from the 87 patients with CHD were compared with the clinical data provided by a hospital, and it was revealed that the appearance of a peak at 1509 cm-1 in the SERS spectra was in good agreement with the results of coronary angiography tests when cardiovascular congestion was above 70%. This indicated that the classification sensitivity and specificity were 87.9% and 87.0%, respectively, through identification of the Raman peak at 1509 cm-1.

Association of Chronic Kidney Disease with Coronary Heart Disease and Stroke Risks in Patients with Type 2 Diabetes Mellitus: An Observational Cross-sectional Study in Hangzhou, China.

BACKGROUND: Chronic kidney disease (CKD) is an independent risk factor for cardiovascular disease (CVD). However, the association between CKD and CVD risk in patients with type 2 diabetes mellitus (T2DM) in China has not yet been well investigated. This study aimed to determine the association of CKD with the risks of coronary heart disease (CHD) and stroke in a Chinese population with T2DM. METHODS: A total of 1401 inpatients with T2DM at the Second Affiliated Hospital of Zhejiang University School of Medicine between April 2008 and November 2013 were included in this study. The CKD-Epidemiology Collaboration equation for Asians was used to classify CKD. The UK Prospective Diabetes Study risk engine was used to estimate the risks of CHD and stroke. RESULTS: CHD risk was significantly increased with CKD stage (20.1%, 24.8%, and 34.3% in T2DM patients with no CKD, CKD Stage 1-2, and Stage 3-5, respectively; P < 0.001 for all). The stroke risk was also increased with CKD stage (8.6%, 12.7%, and 25.4% in T2DM patients with no CKD, CKD Stage 1-2, and Stage 3-5, respectively; P < 0.001 for all). Compared with no-CKD group, the odds ratios (OR s) for high CHD risk were 1.7 (P < 0.001) in the CKD Stage 1-2 group and 3.5 (P < 0.001) in the CKD Stage 3-5 group. The corresponding OR s for high stroke risk were 1.9 (P < 0.001) and 8.2 (P < 0.001), respectively. CONCLUSION: In patients with T2DM, advanced CKD stage was associated with the increased risks of CHD and stroke.

Serum klotho protein levels and their correlations with the progression of type 2 diabetes mellitus.

AIM: To investigate the associations of serum α-Klotho and ß-Klotho levels with type 2 diabetes mellitus (T2DM) progression. METHODS: We evaluated 106 healthy controls and 261 cases of T2DM with or without diabetic complications (range: 45-84years). Serum α-Klotho and ß-Klotho levels were analyzed using enzyme-linked immunosorbent assays. RESULTS: Compared to the healthy controls, α-Klotho and ß-Klotho levels were significantly lower among patients with T2DM and with or without diabetic complications (P<0.05). Furthermore, α-Klotho levels were lower in the microalbuminuric and macroalbuminuric groups, compared to the normoalbuminuric group. However, ß-Klotho levels were only lower in the macroalbuminuric group (P<0.05). Multiple linear regression analyses revealed that α-Klotho and ß-Klotho levels were positively correlated with the creatinine clearance rate, and negatively correlated with the urinary albumin to creatinine ratio and randomly sampled serum levels of creatinine, blood urea nitrogen, and blood glucose. Moreover, α-Klotho and ß-Klotho levels were positively correlated among patients with T2DM (r=0.693, P<0.001). CONCLUSIONS: Serum levels of α-Klotho and ß-Klotho are down-regulated in patients with T2DM. Thus, these proteins may participate in the pathological mechanism of diabetes, and the positive correlation of α-Klotho and ß-Klotho levels indicates that they might have similar mechanisms in T2DM.

Abuse, nocturnal stress hormones, and coronary heart disease risk among women with HIV.

This study investigated the relationships among abuse, nocturnal levels of cortisol and norepinephrine (NE), and coronary heart disease (CHD) risk as measured by the Framingham risk score among women with human immunodeficiency virus (HIV). Participants (n = 53) from the Chicago Women's Interagency HIV Study (WIHS), a longitudinal prospective cohort study initiated in 1994, were enrolled in this study during 2012. At WIHS baseline and annual follow-up visits, women were asked about recent experiences of abuse. Summary variables captured the proportion of visits for which women reported recent (past 12 months) physical, sexual, and domestic abuse. Cortisol and NE were assayed in overnight urine samples and adjusted for creatinine levels. Recent abuse was not significantly associated with levels of cortisol, NE, or NE/cortisol ratio. However, higher NE/cortisol ratio was significantly related to higher CHD risk score, higher cortisol was significantly related to lower CHD risk score, and NE was not associated with CHD risk score. In addition, higher proportions of visits with recent sexual abuse, physical abuse, and domestic abuse were significantly related to higher CHD risk score. The association between abuse exposure and CHD risk in the context of HIV infection is likely complex and may involve dysregulation of multiple neurobiological systems. Future research is needed to better understand these relationships and prevention and intervention efforts are needed to address abuse among women with HIV.

Influence of Gender and Repeated Urine Sampling on the Association of Albuminuria with Coronary Events.

BACKGROUND: The association between albuminuria and coronary heart disease (CHD) is well-known, but uncertainties related to day-to-day variability and effect modification of gender complicate the risk assessment process. This study evaluates the associations of CHD with albuminuria level in men and women based on the number of urine samples. METHODS: Nine thousand one hundred and fifty-eight adults provided 3 urine samples and were followed for 14 years in the population-based HUNT-2 cohort study. The association of myocardial infarction or coronary death with different albumin-creatinine ratio (ACR) cut-offs, based on gender and number of positive ACRs, were estimated by hazard ratios (HRs) and adjusted for by Framingham variables. RESULTS: Associations between ACR and CHD were similar in men and women. For example, HRs for moderately increased (3.0≤ ACR ≤30.0 mg/mmol) vs. normal albuminuria (ACR <1.0 mg/mmol) were 1.40 (95% CI 1.27-2.03) and 1.61 (95% CI 1.15-1.71) respectively, (psex-equality = 0.3). However, median intra-individual day-to-day ACR coefficient of variation was 22.4% in women vs. 17.5% in men (p < 0.001). Two or 3 positive ACRs were required to establish a significant association with CHD at levels below 4.0 mg/mmol in women, while one positive ACR implied a significant association at all levels in men. Based on receiver-operating-characteristics curves, the Youden index suggested possible equal cut-offs for women (1.12 mg/mmol) and men (0.88 mg/mmol), p = 0.06. CONCLUSIONS: There were no significant gender differences in the association between albuminuria and coronary events. However, women had increased intra-individual albuminuria variability compared to men, necessitating several positive urine samples if mildly increased albuminuria is used in coronary risk evaluation.

Integrated metabolomics and metagenomics analysis of plasma and urine identified microbial metabolites associated with coronary heart disease.

Coronary heart disease (CHD) is top risk factor for health in modern society, causing high mortality rate each year. However, there is no reliable way for early diagnosis and prevention of CHD so far. So study the mechanism of CHD and development of novel biomarkers is urgently needed. In this study, metabolomics and metagenomics technology are applied to discover new biomarkers from plasma and urine of 59 CHD patients and 43 healthy controls and trace their origin. We identify GlcNAc-6-P which has good diagnostic capability and can be used as potential biomarkers for CHD, together with mannitol and 15 plasma cholines. These identified metabolites show significant correlations with clinical biochemical indexes. Meanwhile, GlcNAc-6-P and mannitol are potential metabolites originated from intestinal microbiota. Association analysis on species and function levels between intestinal microbes and metabolites suggest a close correlation between Clostridium sp. HGF2 and GlcNAc-6-P, Clostridium sp. HGF2, Streptococcus sp. M143, Streptococcus sp. M334 and mannitol. These suggest the metabolic abnormality is significant and gut microbiota dysbiosis happens in CHD patients.

Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data.

BACKGROUND: The usefulness of estimated glomerular filtration rate (eGFR) and albuminuria for prediction of cardiovascular outcomes is controversial. We aimed to assess the addition of creatinine-based eGFR and albuminuria to traditional risk factors for prediction of cardiovascular risk with a meta-analytic approach. METHODS: We meta-analysed individual-level data for 637 315 individuals without a history of cardiovascular disease from 24 cohorts (median follow-up 4·2-19·0 years) included in the Chronic Kidney Disease Prognosis Consortium. We assessed C statistic difference and reclassification improvement for cardiovascular mortality and fatal and non-fatal cases of coronary heart disease, stroke, and heart failure in a 5 year timeframe, contrasting prediction models for traditional risk factors with and without creatinine-based eGFR, albuminuria (either albumin-to-creatinine ratio [ACR] or semi-quantitative dipstick proteinuria), or both. FINDINGS: The addition of eGFR and ACR significantly improved the discrimination of cardiovascular outcomes beyond traditional risk factors in general populations, but the improvement was greater with ACR than with eGFR, and more evident for cardiovascular mortality (C statistic difference 0·0139 [95% CI 0·0105-0·0174] for ACR and 0·0065 [0·0042-0·0088] for eGFR) and heart failure (0·0196 [0·0108-0·0284] and 0·0109 [0·0059-0·0159]) than for coronary disease (0·0048 [0·0029-0·0067] and 0·0036 [0·0019-0·0054]) and stroke (0·0105 [0·0058-0·0151] and 0·0036 [0·0004-0·0069]). Dipstick proteinuria showed smaller improvement than ACR. The discrimination improvement with eGFR or ACR was especially evident in individuals with diabetes or hypertension, but remained significant with ACR for cardiovascular mortality and heart failure in those without either of these disorders. In individuals with chronic kidney disease, the combination of eGFR and ACR for risk discrimination outperformed most single traditional predictors; the C statistic for cardiovascular mortality fell by 0·0227 (0·0158-0·0296) after omission of eGFR and ACR compared with less than 0·007 for any single modifiable traditional predictor. INTERPRETATION: Creatinine-based eGFR and albuminuria should be taken into account for cardiovascular prediction, especially when these measures are already assessed for clinical purpose or if cardiovascular mortality and heart failure are outcomes of interest. ACR could have particularly broad implications for cardiovascular prediction. In populations with chronic kidney disease, the simultaneous assessment of eGFR and ACR could facilitate improved classification of cardiovascular risk, supporting current guidelines for chronic kidney disease. Our results lend some support to also incorporating eGFR and ACR into assessments of cardiovascular risk in the general population. FUNDING: US National Kidney Foundation, National Institute of Diabetes and Digestive and Kidney Diseases.

[Effect of coronary risk and of hypertension on renal risk in the general population]. / Impact du risque coronarien et de l'hypertension sur le risque rénal en population générale.

INTRODUCTION: Abnormal albuminuria (≥ 30 mg/g) and low estimated glomerular filtration rate (eGFR<60 mL/min/1.73 m(2)) not only are renal risk factors, but also cardiovascular and coronarian risk factors. Though, the relation between coronary risk and renal risk, and its interaction with insufficiently controlled brachial pressure (BP) is poorly described in the literature. SUBJECTS AND METHODS: We realised a cross-sectional study on subjects 40 and older, having attended a medical exam in 11 IRSA centers between 2006 and 2010. Every subject filled a questionnaire, underwent biological analysis, and a clinical examination. eGFR and albuminuria were measured, and the 10-year risk of coronarian event was calculated (Laurier's equation) RESULTS: We analysed 118,314 subjects, amongst whom 96,400 had no personal cardiovascular history. Amongst those, 9.1% had a 10-year coronary risk over 10%. There was a continuous relationship between coronary risk and renal risk: subjects with a risk above 15% had a significative risk of pathological albuminuria (OR: 6.87 [5.58-8.44]), and of low eGFR (2.26 [1.82-2.78]) compared to those with a risk under 5%. There was a continuous relationship between BP and renal risk, with a significative risk of pathological albuminuria (OR=7.75 [6.69-8.96]) and of low eGFR (OR: 1.33 [1.09-1.60]) in subjects with BP greater than or equal to 180/110 mmHg, compared to those with normal BP. CONCLUSION: In the French population, 9.1% of subjects have a 10-year coronary risk above 10%. This risk is associated to abnormalities of the renal function. The relation between coronary risk and renal risk is continuous and dose-dependent, as is the relation between BP and renal risk.

Enhanced lipid peroxidation and platelet activation as potential contributors to increased cardiovascular risk in the low-HDL phenotype.

BACKGROUND: Low high-density lipoprotein (HDL) levels are major predictors of cardiovascular (CV) events, even in patients on statin treatment with low-density lipoprotein (LDL) at target. In animal models HDLs protect LDL from oxidation and blunt platelet activation. Our study aimed to examine whether HDL levels are related to in vivo oxidative stress and platelet activation, as determinants of atherothrombosis. METHODS AND RESULTS: Urinary 8-iso-PGF2α and 11-dehydro-TXB2, in vivo markers of oxidative stress and platelet activation, respectively, were measured in 65 coronary heart disease (CHD) normocholesterolemic patients with HDL ≤35 mg/dL, and in 47 CHD patients with HDL >35 mg/dL. The 2 eicosanoids were also measured before and after an intensive exercise program in sedentary people (n=18) and before and after fenofibrate treatment in otherwise healthy subjects with low HDL (n=10). Patients with HDL ≤35 mg/dL showed significantly higher urinary 8-iso-PGF2α (median [25th to 75th percentiles]: 289 [189 to 380] versus 216 [171 to 321] pg/mg creatinine, P=0.019) and 11-dehydro-TXB2 (563 [421 to 767] versus 372 [249 to 465] pg/mg creatinine, P=0.0001) than patients with higher HDL. A direct correlation was found between urinary 8-iso-PGF2α and 11-dehydro-TXB2 in the entire group of patients (ρ=0.77, P<0.0001). HDL levels were inversely related to both 8-iso-PGF2α (ρ=-0.32, P=0.001) and 11-dehydro-TXB2 (ρ=-0.52, P<0.0001). On multiple regression, only 8-iso-PGF2α (ß=0.68, P<0.0001) and HDL level (ß=-0.29, P<0.0001) were associated with urinary 11-dehydro-TXB2 excretion, independent of sex, age, smoking, hypertension, diabetes, previous myocardial infarction, total cholesterol, LDL, and triglycerides. Both intensive exercise and fenofibrate treatment significantly reduced the 2 eicosanoids in healthy subjects, in parallel with an HDL increase. CONCLUSIONS: A low HDL phenotype, both in CHD patients and in healthy subjects, is associated with increased lipid peroxidation and platelet activation. These data provide novel insight into the mechanisms linking low HDL with increased CV risk.

Use of NHANES data to link chemical exposures to chronic diseases: a cautionary tale.

BACKGROUND: The National Health and Nutrition Examination Survey (NHANES) is one example of cross-sectional datasets that have been used to draw causal inferences regarding environmental chemical exposures and adverse health outcomes. Our objectives were to analyze four NHANES datasets using consistent a priori selected methods to address the following questions: Is there a consistent association between urinary bisphenol A (BPA) measures and diabetes, coronary heart disease (CHD), and/or heart attack across surveys? Is NHANES an appropriate dataset for investigating associations between chemicals with short physiologic half-lives such as BPA and chronic diseases with multi-factorial etiologies? Data on urinary BPA and health outcomes from 2003-2004, 2005-2006, 2007-2008, and 2009-2010 were available. METHODOLOGY AND FINDINGS: Regression models were adjusted for creatinine, age, gender, race/ethnicity, education, income, smoking, heavy drinking, BMI, waist circumference, calorie intake, family history of heart attack, hypertension, sedentary time, and total cholesterol. Urinary BPA was not significantly associated with adverse health outcomes for any of the NHANES surveys, with ORs (95% CIs) ranging from 0.996 (0.951-1.04) to 1.03 (0.978-1.09) for CHD, 0.987 (0.941-1.04) to 1.04 (0.996-1.09) for heart attack, and 0.957 (0.899-1.02) to 1.01 (0.980-1.05) for diabetes. CONCLUSIONS: Using scientifically and clinically supportable exclusion criteria and outcome definitions, we consistently found no associations between urinary BPA and heart disease or diabetes. These results do not support associations and causal inferences reported in previous studies that used different criteria and definitions. We are not drawing conclusions regarding whether BPA is a risk factor for these diseases. We are stating the opposite--that using cross-sectional datasets like NHANES to draw such conclusions about short-lived environmental chemicals and chronic complex diseases is inappropriate. We need to expend resources on appropriately designed epidemiologic studies and toxicological explorations to understand whether these types of chemicals play a causal role in chronic diseases.