Lipidome changes due to improved dietary fat quality inform cardiometabolic risk reduction and precision nutrition.

Current cardiometabolic disease prevention guidelines recommend increasing dietary unsaturated fat intake while reducing saturated fats. Here we use lipidomics data from a randomized controlled dietary intervention trial to construct a multilipid score (MLS), summarizing the effects of replacing saturated fat with unsaturated fat on 45 lipid metabolite concentrations. In the EPIC-Potsdam cohort, a difference in the MLS, reflecting better dietary fat quality, was associated with a significant reduction in the incidence of cardiovascular disease (-32%; 95% confidence interval (95% CI): -21% to -42%) and type 2 diabetes (-26%; 95% CI: -15% to -35%). We built a closely correlated simplified score, reduced MLS (rMLS), and observed that beneficial rMLS changes, suggesting improved dietary fat quality over 10 years, were associated with lower diabetes risk (odds ratio per standard deviation of 0.76; 95% CI: 0.59 to 0.98) in the Nurses' Health Study. Furthermore, in the PREDIMED trial, an olive oil-rich Mediterranean diet intervention primarily reduced diabetes incidence among participants with unfavorable preintervention rMLS levels, suggestive of disturbed lipid metabolism before intervention. Our findings indicate that the effects of dietary fat quality on the lipidome can contribute to a more precise understanding and possible prediction of the health outcomes of specific dietary fat modifications.

Gut-Microbiota-Related Metabolite Phenylacetylglutamine and Risk of Incident Coronary Heart Disease among Women.

CONTEXT: Phenylacetylglutamine (PAGln) is a novel metabolite derived from gut microbial metabolism of dietary proteins, specifically phenylalanine, which may be linked to risks of adverse cardiovascular events. OBJECTIVE: We investigated whether higher plasma levels of PAGln were associated with a greater risk of incident coronary heart disease (CHD) and tested whether adherence to a plant-based diet, which characterizes habitual dietary patterns of animal and plant food intake, modified the associations. METHODS: We examined associations between plasma PAGln and risk of incident CHD over 11-16 years in a nested case-control study of 1520 women (760 incident cases and 760 controls) from the Nurses' Health Study. Separately, we analyzed relations between PAGln and dietary intakes measured through dietary records in the Women's Lifestyle Validation Study (n=725). RESULTS: Higher PAGln levels were related to a greater risk of CHD (p <0.05 for dose-response relationship). Higher PAGln was associated with greater red/processed meat intake and lower vegetable intake (p <0.05 for all). We found a significant interaction between PAGln and adherence to plant-based diet index (PDI) on CHD (Pinteraction=0.008); higher PAGln levels were associated with an increased risk of CHD (relative risk per 1 SD: 1.22 [95% CI: 1.05, 1.41]) among women with low PDI but not among those with high PDI. CONCLUSION: Higher PAGln was associated with higher risk of CHD, particularly in women with dietary patterns of eating more animal foods and fewer plant-based foods. Adherence to plant-based diets might attenuate unfavorable associations between a novel microbial metabolite and CHD risk.

Developing and evaluating the construct validity of a dietary pattern predictive of plasma TMAO and choline.

BACKGROUND AND AIMS: The metabolism of choline (highly present in animal products) can produce trimethylamine N-oxide (TMAO), a metabolite with atherosclerotic effects; however, dietary fiber may suppress this metabolic pathway. This study aimed to develop a dietary pattern predictive of plasma TMAO and choline concentrations using reduced rank regression (RRR) and to evaluate its construct validity. METHODS AND RESULTS: Diet and plasma concentrations of choline (µmol/L) and TMAO (µmol/L) were assessed in 1724 post-menopausal women who participated in an ancillary study within the Women's Health Initiative Observational Study (1993-1998). The TMAO dietary pattern was developed using RRR in half of the sample (Training Sample) and applied to the other half of the sample (Validation Sample) to evaluate its construct validity. Energy-adjusted food groups were the predictor variables and plasma choline and TMAO, the response variables. ANCOVA and linear regression models were used to assess associations between each biomarker and the dietary pattern score. Discretionary fat, potatoes, red meat, and eggs were positively associated with the dietary pattern, while yogurt, fruits, added sugar, and starchy vegetables were inversely associated. Mean TMAO and choline concentrations significantly increased across increasing quartiles of the dietary pattern in the Training and Validation samples. Positive associations between the biomarkers and the TMAO dietary pattern were also observed in linear regression models (Validation Sample: TMAO, adjusted beta-coefficient = 0.037 (p-value = 0.0088); Choline, adjusted beta-coefficient = 0.011 (p-value = 0.0224). CONCLUSION: We established the TMAO dietary pattern, a dietary pattern reflecting the potential of the diet to contribute to plasma concentrations of TMAO and choline.

The Effect of Randomized Beta-Carotene Supplementation on CKD in Men.

Introduction: Beta-carotene (BC) protects the body against free radicals that may damage the kidney and lead to the development of acute kidney injury and chronic kidney disease (CKD). Previous studies in animal models have demonstrated a potential protective effect of 30 mg/kg BC supplementation on renal ischemia or reperfusion injury and subsequently improved kidney function. The extension of these findings to humans, however, remains unclear. Methods: Our study leverages previously collected data from the Physicians' Health Study I (PHS I), a large-scale, long-term, randomized trial of middle-aged and older US male physicians testing 50 mg BC every other day for primary prevention of cardiovascular disease and cancer. We examined the impact of randomized BC supplementation on self-reported incident CKD identified by self-reports stating "yes" to kidney disease from annual follow-up questionnaires from randomization in 1982 through the end of the randomized BC intervention at the end of 1995, and on CKD defined as an estimated glomerular filtration rate (eGFR) < 60 ml/min per 1.73 m2 at the end of 1995. Analyses compared incident CKD between BC supplementation and placebo using Cox proportional hazards regression models and logistic regression. We also examined whether smoking status (current vs. former or never smoker) or other factors modified the effect of randomized BC supplementation on CKD. Results: A total of 10,966 participants were randomized to BC, and 10,952 participants were randomized to a placebo group. Baseline characteristics between randomized BC groups were similar. There was no significant benefit between BC supplementation and self-reported incident CKD after adjusting for age and randomized aspirin treatment (hazard ratio [HR] = 0.97, 95% confidence interval [CI]: 0.86-1.08, P-value = 0.56). Stratified by smoking status, there was no significant benefit of BC supplementation and self-reported incident CKD either among former or never smokers (HR = 0.95, 95% CI: 0.84-1.07, P-value = 0.41) or current smokers (HR = 1.08, 95% CI: 0.78-1.50, P-value = 0.64). Smoking status did not modify the association between BC supplementation and incident CKD (P-interaction = 0.47). In subgroup analysis among those with available serum creatinine at the study end (5480 with BC and 5496 with placebo), there was no significant benefit between BC supplementation and CKD based on eGFR < 60 ml/min per 1.73 m2 (odds ratio [OR] = 0.96, 95% CI: 0.85-1.08, P-value = 0.49). Conclusion: Long-term randomized BC supplementation did not affect the risk of incident CKD in middle-aged and older male physicians.

Differences in metabolomic profiles between Black and White women in the U.S.: Analyses from two prospective cohorts.

There is growing interest in incorporating metabolomics into public health practice. However, Black women are under-represented in many metabolomics studies. If metabolomic profiles differ between Black and White women, this under-representation may exacerbate existing Black-White health disparities. We therefore aimed to estimate metabolomic differences between Black and White women in the U.S. We leveraged data from two prospective cohorts: the Nurses' Health Study (NHS; n = 2077) and Women's Health Initiative (WHI; n = 2128). The WHI served as the replication cohort. Plasma metabolites (n = 334) were measured via liquid chromatography-tandem mass spectrometry. Observed metabolomic differences were estimated using linear regression and metabolite set enrichment analyses. Residual metabolomic differences in a hypothetical population in which the distributions of 14 risk factors were equalized across racial groups were estimated using inverse odds ratio weighting. In the NHS, Black-White differences were observed for most metabolites (75 metabolites with observed differences ≥ |0.50| standard deviations). Black women had lower average levels than White women for most metabolites (e.g., for N6, N6-dimethlylysine, mean Black-White difference = - 0.98 standard deviations; 95% CI: - 1.11, - 0.84). In metabolite set enrichment analyses, Black women had lower levels of triglycerides, phosphatidylcholines, lysophosphatidylethanolamines, phosphatidylethanolamines, and organoheterocyclic compounds, but higher levels of phosphatidylethanolamine plasmalogens, phosphatidylcholine plasmalogens, cholesteryl esters, and carnitines. In a hypothetical population in which distributions of 14 risk factors were equalized, Black-White metabolomic differences persisted. Most results replicated in the WHI (88% of 272 metabolites available for replication). Substantial differences in metabolomic profiles exist between Black and White women. Future studies should prioritize racial representation.

Laparoscopically confirmed endometriosis and anti-Müllerian hormone levels: Findings from the Nurses' Health Study II.

OBJECTIVE: Anti-Müllerian hormone is a reliable measure of ovarian reserve associated with menopause timing and fertility. Previous studies have observed that individuals with endometriosis have lower anti-Müllerian hormone levels than those without. However, sample sizes have been small and information is limited regarding the long-term influence of endometriosis on anti-Müllerian hormone levels among the general population, which may have important implications for menopause timing and chronic disease risk. METHODS: Among 1961 premenopausal women in the Nurses' Health Study II who provided a blood sample and had not been pregnant in the last 6 months, we used generalized linear models to determine the association between laparoscopically-confirmed endometriosis and log-transformed plasma anti-Müllerian hormone level, adjusted for age (continuous and squared) and other potential confounding variables. RESULTS: Participants were on average 40 years old (interquartile range 37-42 years) at blood draw. Women with endometriosis diagnosed prior to blood draw (n = 119) had a lower mean anti-Müllerian hormone level (1.6 ng/mL [SD = 2.3]) than women without known endometriosis (n = 1842) (2.8 ng/mL [SD = 3.0]). In multivariable adjusted models, women with endometriosis had 29.6 % lower anti-Müllerian hormone levels (95 % CI: -45.4, -9.2 %) than women without. This association was greater among women with a body mass index of 25 kg/m2 or more (percent difference: -44.0 % (-63.7, -13.8)), compared to those with a body mass index of under 25 kg/m2 (percent difference: -19.8 % (-41.7, 10.4)), but did not vary by parity or infertility history. CONCLUSIONS: Lower anti-Müllerian hormone levels in women with endometriosis may be one mechanism through which endometriosis influences risk of infertility, younger age at menopause, and cardiovascular disease.

Plasma metabolites of a healthy lifestyle in relation to mortality and longevity: Four prospective US cohort studies.

BACKGROUND: A healthy lifestyle is associated with a lower premature mortality risk and with longer life expectancy. However, the metabolic pathways of a healthy lifestyle and how they relate to mortality and longevity are unclear. We aimed to identify and replicate a healthy lifestyle metabolomic signature and examine how it is related to total and cause-specific mortality risk and longevity. METHODS: In four large cohorts with 13,056 individuals and 28-year follow-up, we assessed five healthy lifestyle factors, used liquid chromatography mass spectrometry to profile plasma metabolites, and ascertained deaths with death certificates. The unique healthy lifestyle metabolomic signature was identified using an elastic regression. Multivariable Cox regressions were used to assess associations of the signature with mortality and longevity. FINDINGS: The identified healthy lifestyle metabolomic signature was reflective of lipid metabolism pathways. Shorter and more saturated triacylglycerol and diacylglycerol metabolite sets were inversely associated with the healthy lifestyle score, whereas cholesteryl ester and phosphatidylcholine plasmalogen sets were positively associated. Participants with a higher healthy lifestyle metabolomic signature had a 17% lower risk of all-cause mortality, 19% for cardiovascular disease mortality, and 17% for cancer mortality and were 25% more likely to reach longevity. The healthy lifestyle metabolomic signature explained 38% of the association between the self-reported healthy lifestyle score and total mortality risk and 49% of the association with longevity. CONCLUSIONS: This study identifies a metabolomic signature that measures adherence to a healthy lifestyle and shows prediction of total and cause-specific mortality and longevity. FUNDING: This work was funded by the NIH, CIHR, AHA, Novo Nordisk Foundation, and SciLifeLab.

Age at menarche, type 2 diabetes and cardiovascular disease complications in US women aged under 65 years: NHANES 1999-2018.

Background: Diabetes and diabetes complications are on the rise in US adults aged <65 years, while onset of menarche at a younger age is also increasing. We examined the associations of age at menarche with type 2 diabetes among women aged <65 years and with cardiovascular disease (CVD) complications among women with diabetes. Methods: Using the nationally representative cross-sectional National Health and Nutrition Examination Survey 1999-2018, women aged 20-65 years free of cancer were included in the current analysis. Diabetes was defined as a self-reported diabetes diagnosis. CVD was defined as coronary heart disease or stroke. Age at menarche was self-reported age of first menstruation and categorised into ≤10, 11, 12, 13, 14 and ≥15 years. Results: Of 17 377 women included in the analysis, 1773 (10.2%) reported having type 2 diabetes. Earlier age at menarche was associated with type 2 diabetes compared with median age at menarche of 13 years, after adjustment for age, race/ethnicity, education, parity, menopause status and family history of diabetes, smoking status, physical activity, alcohol consumption and body mass index (p for trend=0.02). Among women with diabetes, earlier age at menarche was associated with stroke with similar adjustment (p for trend=0.03), but not with total CVD. Extremely early age at menarche (≤10 years) was significantly associated with stroke (adjusted OR 2.66 (95% CI 1.07 to 6.64)) among women aged <65 years with diabetes with similar adjustment. Conclusions: Earlier age at menarche was associated with type 2 diabetes among young and middle-aged women in the USA and with stroke complications among these women living with diabetes.

Preconception Stress and Pregnancy Serum Glucose Levels Among Women Attending a Fertility Center.

Context: The association between women's stress and pregnancy glucose levels remain unclear, specifically when considering the preconception period as a sensitive window of exposure. Objective: We investigated whether preconception perceived stress was associated with glucose levels during pregnancy among women attending a fertility center (2004-2019). Methods: Before conception, women completed a psychological stress survey using the short version of the validated Perceived Stress Scale 4 (PSS-4), and blood glucose was measured using a 50-gram glucose load test during late pregnancy as a part of screening for gestational diabetes. Linear and log-binomial regression models were used to assess associations of total PSS-4 scores with mean glucose levels and abnormal glucose levels ( ≥ 140 mg/dL), adjusting for age, body mass index, race, smoking, education, physical activity, primary infertility diagnosis, number of babies, and mode of conception. Results: Psychological stress was positively associated with mean abnormal glucose levels. The adjusted marginal means (95% CI) of mean glucose levels for women in the first, second, and third tertiles of psychological stress were 115 (110, 119), 119 (115, 123), and 124 (119, 128), and mg/dL, respectively (P for trend = .007). Also, women in the second and third tertiles of psychological stress had 4% and 13% higher probabilities of having abnormal glucose compared with women in the first tertile of psychological stress (P trend = .01). Conclusion: These results highlight the importance of considering preconception when evaluating the relationship between women's stress and pregnancy glucose levels.