The effect of filtered-coffee consumption on plasma lipid levels: results of a randomized clinical trial

Article Abstract:

Drinking filtered, caffeinated coffee may raise blood cholesterol levels slightly. One hundred healthy men were evenly divided into four groups containing 25 men each. One group drank no coffee, one drank 24 ounces of coffee a day, one drank 12 ounces of coffee a day, and one drank 24 ounces of decaffeinated coffee a day. The study lasted eight weeks. All the men went without coffee for eight weeks before the study. During the study, the men who drank 24 ounces of regular, filtered coffee experienced small but significant increases in total cholesterol, LDL cholesterol and HDL cholesterol. Cholesterol levels remained the same in the other groups. The coffee-induced increase in cholesterol may not increase an individual's risk of developing heart disease, since the increase in LDL, the so-called 'bad' cholesterol, would be cancelled by the increase in HDL, or 'good' cholesterol.

Measurement, Physiological aspects, Blood lipids, Blood cholesterol, Coffee habit

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Lipid-lowering therapy in low-risk patients

Article Abstract:

It may be cost-effective to treat people with average blood cholesterol levels if they have other risk factors. Several studies have shown that drugs called statins, which include lovastatin, pravastatin and simvastatin, can lower the risk of heart attack in patients with coronary artery disease. However, whether these drugs can benefit patients without heart disease is less clear. A 1998 study showed that they can, but treatment may not be cost-effective in these people. Certain subgroups may benefit, including older men, smokers and people with hypertension.

Health aspects, Editorial, Economic aspects, Prevention, Heart attack, Drug therapy, Anticholesteremic agents

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How to interpret a genome-wide association study

Article Abstract:

The importance, limitations, and interpretation of a genome-wide association study are explained.

United States, Science & research, Research, Human genome, Genetic variation, Single nucleotide polymorphisms

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