title: Quantifying the risk for alcohol-use and alcohol-attributable health disorders: present findings and future research needs.
abstract: The aim of the present review was to: (i) highlight epidemiological and other studies that have generated important data on the harmful patterns of drinking that increase the risk for chronic diseases, including alcohol dependence, and on the mechanisms by which alcohol produces and, in some instances, may protect against damage; and (ii) discuss a conceptual basis for quantifying risk criteria for alcohol-induced chronic disease based on the quantity, frequency, and pattern of drinking. The relationship between heavy drinking and risk for adverse health conditions such as alcoholic liver disease (ALD), dementia, and alcohol dependence is well known. However, not everyone who drinks chronically develops ALD or dementia, and the major risk factors for disease development and the mechanisms by which this occurs have remained unclear. Large-scale, general population-based studies have provided the evidence by which quantifying the frequency of a pattern of high-risk drinking can be related directly to risk and the severity of alcohol dependence. Cellular and molecular biology studies have identified the major pathways of alcohol metabolism and how genetics and the environment can interact in some individuals to further increase the risk of organ damage. Extant databases should allow scientists and clinicians jointly to develop the framework for quantifying the drinking patterns that increase the risk of alcohol-induced organ pathologies, to develop clinical practice guidelines, such as those used to diagnose other common complex diseases (e.g. diabetes and hypertension), and to propose future studies for refining such guidelines. Attention must be paid to comorbid conditions such as hepatitis B and C infections, HIV, obesity, and environmental exposures other than alcohol. Developing trait and state biomarkers is critical to the process of discovery and to fulfilling the promise of personalized medicine.
authors.affiliation: National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, US Department of Health and Human Services, Bethesda, Maryland 20892-9304, USA. tkli@mail.nih.gov
authors.forename: Ting-Kai
authors.initials: TK
authors.lastname: Li
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000428:Alcohol Drinking / Q000009:adverse effects* / Q000453:epidemiology*; D019973:Alcohol-Related Disorders / Q000453:epidemiology*; D035843:Biomedical Research / Q000639:trends; D002648:Child; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008875:Middle Aged; D018570:Risk Assessment; D012307:Risk Factors