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New biomarkers of cardiovascular disease are needed to augment the information obtained from traditional indicators and to illuminate disease mechanisms. One of the approaches used in metabolomics/metabonomics for that purpose is metabolic fingerprinting aiming to profile large numbers of chemically diverse metabolites in an essentially nonselective way. In this study, gas chromatography-mass spectrometry was employed to evaluate the major metabolic changes in low molecular weight plasma metabolites of patients with acute coronary syndrome (n = 9) and with stable atherosclerosis (n = 10) vs healthy subjects without significant differences in age and sex (n = 10). Reproducible differences between cases and controls were obtained with pattern recognition techniques, and metabolites accounting for higher weight in the classification have been identified through their mass spectra. On this basis, it seems inherently plausible that even a simple metabolite profile might be able to offer improved clinical diagnosis and prognosis, but in addition, specific markers are being identified.

In this large, mid-aged, female Latin American series, muscle/joint discomfort and psychological symptoms were the most prevalent and severely rated menopausal symptoms. The symptoms appear early in the premenopause, significantly impair quality of life and persist 5 years beyond the menopause.

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We aimed to evaluate which risk factors in middle-aged women are associated with higher risk of multimorbidity in older age. Study design: We conducted a prospective cohort study from 1990 to 1993 in Santiago de Chile, Chile among women aged 40-59 (at baseline). Diagnosed illnesses were retrieved from national health records in 2020. Main outcome measures: : Clinical and laboratory evaluation was conducted. Results: 1066 women were followed-up for a mean of 27.8 years, after which 49.7% presented multimorbidity. These women, as compared with those without multimorbidity, were more likely at baseline to have had obesity (20.4% vs. 8.6%, p < 0.001); be post-menopause (47.2% vs. 40.5%; p < 0.03); have jobs that did not require a qualification (74.2% vs. 56.0%, p < 0.001); arterial hypertension (19.8% vs 14.4%, p < 0.018); lower HDLcholesterol (51.3 ± 12.9 vs. 53.6 ± 12.7 mg/dL, p < 0.005); and higher triglyceride levels (136.0 ± 65.0 vs. 127.0 ± 74.0 mg/dL, p = 0.028). Hypertension was associated in 22.0% of women with diabetes, in 20.9% with osteoarthritis and 14.0% with depression. Osteoarthritis was also associated with diabetes mellitus (8.3%) and depression (7.8%). Diabetes mellitus, in addition to hypertension and osteoarthritis, was associated with depression (6.4%). In a logistic regression model, we observed that obesity in middle-aged women was the strongest risk factor for multimorbidity in the elderly (OR: 2.48; 95% CI, 1.71-3.61), followed by having a job that did not require a qualification (OR: 2.18; 95% CI, 1.67-2.83) and having a low HDL-cholesterol level (OR: 1.31; 95% CI, 1.02-1.68). Conclusions: Multimorbidity was highly prevalent in this older female population. Obesity in middle-aged women was the strongest risk factor for multimorbidity at older age. These results are relevant for Chile and other countries with similar population profiles.

There was a high prevalence of sedentary lifestyle in this middle-aged Latin American female sample which was associated with more severe menopausal symptoms and obesity.