| Literature DB >> 26828506 |
Abstract
Although alcohol use disorders rank among the leading public health problems worldwide, hazardous drinking practices and associated morbidity continue to remain underdiagnosed. It is postulated here that a more systematic use of biomarkers improves the detection of the specific role of alcohol abuse behind poor health. Interventions should be initiated by obtaining information on the actual amounts of recent alcohol consumption through questionnaires and measurements of ethanol and its specific metabolites, such as ethyl glucuronide. Carbohydrate-deficient transferrin is a valuable tool for assessing chronic heavy drinking. Activities of common liver enzymes can be used for screening ethanol-induced liver dysfunction and to provide information on the risk of co-morbidities including insulin resistance, metabolic syndrome and vascular diseases. Conventional biomarkers supplemented with indices of immune activation and fibrogenesis can help to assess the severity and prognosis of ethanol-induced tissue damage. Many ethanol-sensitive biomarkers respond to the status of oxidative stress, and their levels are modulated by factors of life style, including weight gain, physical exercise or coffee consumption in an age- and gender-dependent manner. Therefore, further attention should be paid to defining safe limits of ethanol intake in various demographic categories and establishing common reference intervals for biomarkers of alcohol use disorders.Entities:
Keywords: CDT; GGT; NASH; aminotransferase; ethanol; fibrosis; health; obesity; oxidative stress
Mesh:
Substances:
Year: 2016 PMID: 26828506 PMCID: PMC4772186 DOI: 10.3390/ijerph13020166
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Biomarkers of alcohol consumption.
| Biomarker | Abbreviation | Biological Sample Type | Marker Characteristics |
|---|---|---|---|
| Ethanol | EtOH | Blood | Restricted to conditions where ethanol is still present in circulation. |
| Ethyl glucuronide /Ethyl sulfate | EtG/EtS | Urine | Ethanol metabolite, which remains positive in urine samples 2–5 days after stopping ethanol use. Window of detection dependent on sample type. |
| Phosphatidylethanol | PEth | Blood | Ethanol metabolite, which remains detectable 1–2 weeks after alcohol use. Measured by LC-MS or immunological techniques. |
| Fatty acid ethyl esters | FAEE | Plasma | Ethanol metabolite derived from a combination of fatty acid with alcohol. |
| Acetaldehyde adducts and associated immune responses | AA-Ab | Blood | IgA response towards acetaldehyde adducts most specific for alcohol-related disorders. |
| Carbohydrate-deficient transferrin | CDT | Serum | Specific marker of chronic alcohol consumption. Lacks sensitivity for screening purposes. |
| Gamma-glutamyltransferase | GGT | Serum/plasma | Sensitive marker of alcohol use, liver dysfunction and oxidative stress. Several sources of unspecificity. Normalization time 2–3 weeks. |
| GGT-CDT combination | GGT-CDT | Serum/plasma | Improves sensitivity and specificity of detecting alcohol abuse. Relies on a mathematical model. |
| Blood cell counts | Blood | Mean corpuscular volume (MCV) of erythrocytes typically elevated in alcoholics. Normalization time 2–4 months. Mean corpuscular haemoglobin (MCH) and thrombocytes (platelet counts) are also frequently altered in alcohol abusers. Several sources of unspecificity. | |
| Transaminase enzymes | ALT, AST | Serum/plasma | Suitable for screening for liver dysfunction in alcohol users. Sensitive to effects of excess body weight. AST/ALT ratio increases in alcoholic liver disease. |
Figure 1Threshold levels of alcohol consumption (standard drink units/week) for initiating GGT activation in individuals below and above 40 years of age. Alcohol consumption was recorded from the past one year prior to sampling [116]. The levels leading to GGT increases are markedly lower than the current limits of heavy drinking in many Western countries (men: 24 drinks, women: 16 drinks).
Biomarker-based differential diagnosis of abnormal liver function.
| Condition | Supporting Laboratory Data | Other Diagnostic Tools |
|---|---|---|
| Fatty liver | ||
| Alcoholic | Alcohol, EtG, GT, CDT, ALT, AST, MCV | Questionnaires: AUDIT, TLFB, |
| Non-alcoholic (obesity) | ALT, AST, glucose, OGT, triglycerides, PNPLA3 genotyping | BMI, waist circumference, |
| Viral hepatitis | A: anti-HAV IgM; B: HBsAg, PCR, | |
| Liver cirrhosis | Albumin, bilirubin, prothrombin time, immunoglobulins, markers of immune activation and fibrogenesis | Liver biopsy, xenobiotic metabolism and excretion tests, liver imaging: ultrasound, MRI, Fibroscan, measures of hepatic function: Child-Pugh, CCLI, CMI |
| Drug toxicity | Transaminases, therapeutic drug monitoring, blood eosinophils | Case history |
| Hemochromatosis | Iron status, transferrin iron saturation, ferritin, HFE-genotyping (C282Y mutation) | Liver biopsy (hepatic iron index) |
| Autoimmune diseases | ||
| Autoimmune hepatitis | Immunoglobulins, antinuclear antibodies, antismooth muscle antigen | |
| Primary biliary cirrhosis | AP, IgM, antimitochondrial antibodies | |
| Primary sclerosing cholangitis | ANCA, AP | ERCP |
| α1-antitrypsin deficiency | α-1-antitrypsin phenotyping | |
| Wilson’s disease | Ceruloplasmin, urine and hepatic copper | |
| Celiac disease | Tissue transglutaminase antibodies | |
| Strenuous exercise | AST, ALT, myoglobin, creatinine kinase | |
| Malignant condition | AFP | Ultrasound |
| Idiopathic | Absence of markers | Liver biopsy |
ALT: alanine aminotransferase; ANCA: anti-neutrophil cytoplasmic antibody; AP: alkaline phosphatase; AST: aspartate aminotransferase; AUDIT: alcohol use disorders identification test; BMI: body mass index; CAGE: alcohol questionnaire; CDT: carbohydrate-deficient transferrin; ERCP, endoscopic retrograde cholangiopancreatography; EtG: ethyl glucuronide; GGT: gamma-glutamyltransferase; MAST; Michigan alcoholism screening test; MCV, mean corpuscular volume of erythrocytes; OGT: oral glucose tolerance; PCR, polymerase chain reaction; PNPLA3: patatin like phospholipase-3; TLFB: time line follow-back.
Biomarker-based scoring systems for the severity of alcoholic liver disease.
| Score | Full Name | Clinical and Histological Components | Laboratory Components |
|---|---|---|---|
| CPT | Child-Pugh-Turcotte | Ascites, encephalopathy | Albumin, bilirubin, prothrombin time |
| MELD | Model of end-stage liver disease | Bilirubin, creatinine, INR | |
| MDF | Maddrey discriminant function | Bilirubin, prothrombin time | |
| GAH | Glascow alcoholic hepatitis score | Age | White blood cell count, urea, prothrombin time, bilirubin |
| CCLI | Combined clinical and laboratory index | Ascites, encephalopathy, | Hemoglobin, albumin, bilirubin, alkaline phosphatase, prothrombin time |
| CMI | Combined morphological index | Necrosis, inflammation, | Correlates with laboratory indices of prognostic significance |
Biomarkers of fibrogenesis.
| Marker | Abbreviation | Components in Combination |
|---|---|---|
| Connective tissue derived peptides | ||
| Aminopropeptide of procollagen type III | PIIINP | |
| Aminopropeptide of procollagen type I | PINP | |
| Carboxypropeptide of procollagen type I | PICP | |
| Carboxyterminal telopeptide of type I collagen | ICTP | |
| Hyaluronic acid | HA | |
| β-Crosslaps | β-CTX | |
| Tissue inhibitor of matrix metalloproteinase | TIMP | |
| Combination markers | ||
| Fibrotest | GGT, ALT, α-2-macroglobulin, haptoglobin, apo A1, bilirubin | |
| Enhanced liver fibrosis | ELF | PIIINP, hyaluronic acid, TIMP |
| AST/platelet ratio | APRI | AST, platelet count |
| Traffic light test | TLT | PIIINP, hyaluronic acid, thrombocytes |
Biomarkers of immune activation in alcoholics.
| Marker | Abbreviations | Characteristics |
|---|---|---|
| Macrophage receptor for haptoglobin-hemoglobin complexes | CD163 | Marks Kupffer cell activation. Elevated levels are associated with poor prognosis. |
| Soluble urokinase plasminogen activator receptor | suPAR | Marks activation of inflammatory cells. Associated with disease severity. |
| Cytokines |
| An altered balance in the ratio of proinflammatory and anti-inflammatory cytokines is typical during the course of liver disease progression in alcoholics. |
| Immune responses towards ethanol metabolites | Anti-acetaldehyde adduct IgA, IgG, IgM | Anti-adduct IgAs are typical in ALD. Useful for differential diagnosis between alcoholic and non-alcoholic causes of liver disease. |
| High sensitivity | hs-CRP | A marker of low-grade-inflammation. Associated with pro-inflammatory status, which also contributes to multiple alcohol-induced mood disorders, including depression. |
Comparison of upper limits of normal (ULN) of two liver enzymes based on two different types of reference populations.
| Liver Enzyme | Reference Population | ||
|---|---|---|---|
| Normal Weight Non-Drinkers | Moderate Drinkers with or without Overweight | Difference | |
| ALT (U/L) | |||
| Men | 50 | 70 | +40% |
| Women | 35 | 45 | +29% |
| GGT (U/L) | |||
| Men | 60 | 80 (age < 40 yrs) | +33% |
| Women | 40 | 45 (age < 40 yrs) | +12% |
Reference: Danielsson et al. [95].