| Literature DB >> 29303995 |
Mikko T Nieminen1,2, Mikko Salaspuro3.
Abstract
The resident microbiome plays a key role in exposure of the upper gastrointestinal (GI) tract mucosa to acetaldehyde (ACH), a carcinogenic metabolite of ethanol. Poor oral health is a significant risk factor for oral and esophageal carcinogenesis and is characterized by a dysbiotic microbiome. Dysbiosis leads to increased growth of opportunistic pathogens (such as Candida yeasts) and may cause an up to 100% increase in the local ACH production, which is further modified by organ-specific expression and gene polymorphisms of ethanol-metabolizing and ACH-metabolizing enzymes. A point mutation in the aldehyde dehydrogenase 2 gene has randomized millions of alcohol consumers to markedly increased local ACH exposure via saliva and gastric juice, which is associated with a manifold risk for upper GI tract cancers. This human cancer model proves conclusively the causal relationship between ACH and upper GI tract carcinogenesis and provides novel possibilities for the quantitative assessment of ACH carcinogenicity in the human oropharynx. ACH formed from ethanol present in "non-alcoholic" beverages, fermented food, or added during food preparation forms a significant epidemiologic bias in cancer epidemiology. The same also concerns "free" ACH present in mutagenic concentrations in multiple beverages and foodstuffs. Local exposure to ACH is cumulative and can be reduced markedly both at the population and individual level. At best, a person would never consume tobacco, alcohol, or both. However, even smoking cessation and moderation of alcohol consumption are associated with a marked decrease in local ACH exposure and cancer risk, especially among established risk groups.Entities:
Keywords: ADH; ALDH; ALDH2; acetaldehyde; alcohol; cancer; ethanol; fermented food; tobacco; upper gastrointestinal tract
Year: 2018 PMID: 29303995 PMCID: PMC5789361 DOI: 10.3390/cancers10010011
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Main characteristics of the gene mutation-based human model for the quantitative assessment of acetaldehyde (ACH) carcinogenicity in alcohol-consuming aldehyde dehydrogenase (ALDH) 2-deficient subjects compared to ALDH2-active subjects [7,8].
The ethanol molecule is neither genotoxic, mutagenic, nor carcinogenic ACH associated with alcohol consumption is a Group 1 human carcinogen ACH does not exist in saliva without the presence of ethanol or tobacco ACH accumulates after alcohol intake in about 2 times higher concentrations in saliva in ALDH2-deficients than in ALDH2-actives The oropharynx and esophagus (?) as ideal target organs for quantification of ACH-related cancer risk in humans In sharp contrast to the liver, the oral mucosa lacks low- The expression of ALDH enzymes is low in the esophagus, but their role in the regulation of local ACH levels is still unknown The oral microflora has low or zero capacity to eliminate ACH Adequate data on salivary ACH in ALDH2-deficient subjects vs. ALDH2-active subjects; equivalent data on ACH of the mucosal surface of the esophagus is still unavailable Adequate epidemiological data on the role of ALDH2 polymorphisms on the risk for oropharyngeal cancer among never, moderate, and heavy drinkers No differences between ALDH2-deficient subjects and ALDH2-active subjects in confounding factors hampering most epidemiological studies on alcohol-related cancer Smoking, diet, consumption of different beverages, varying drinking habits, underreporting, oral hygiene levels, human papilloma virus (HPV), body mass index (BMI) |
Effect of ALDH2 deficiency, alcohol consumption, smoking, and certain foodstuffs on the quantitative exposure of oropharynx to acetaldehyde (ACH) via saliva in relation to the risk for oropharyngeal cancer. Calculations are based on selected examples as indicated in footers.
| Exposure Model | Salivary ACH Concentration (mg/L; µM) | Exposure Time (min) | ACH Exposure (mg/L × min)/day | OR/RR for Oropharyngeal Cancer |
|---|---|---|---|---|
| - 3 doses (33 g ethanol)/day | 1.1; 25 1 | 283 2 | 311 1 | 1.68–2.61 3 |
| - 7 doses (77 g ethanol)/day | 1.1; 25 1 | 660 2 | 726 1 | 3.57–7.28 3 |
| - Instant | ||||
| 3 × first 5 min | 6.2; 150 | 15 | 93 | |
| 1 × next 5 min | 4.4; 100 | 5 | 22 | |
| instant total | 115 | 1.29 5 | ||
| - Long-term | ||||
| 20–80 min | 0.88; 20 | 60 | 53 | |
| - Total | ||||
| 0–80 min | 80 | 168 | ||
| - 1 cigarette | 11.5; 261 | 5 | 58 | |
| - 3–5 cigarettes | 11.5; 261 | 15–25 | 173–288 | 2.017 |
| - Safest-case scenario 8 | 2.4; 55 | 3 | 7 | ? |
| - Worst-case scenario 9 | 17.4; 395 | 3 × 5 | 261 | |
| - Safest-case scenario 10 | 0.3; 7 | 3 | 0.9 | ? |
| - Worst-case scenario 11 | 2.4; 55 | 3 x 5 | 36 |
1 Difference in salivary ACH concentration (column 2) or in ACH exposure (column 4) (ALDH2-deficient subjects—ALDH2-active subjects) [7]; 2 Based on the normal elimination rate of ethanol (7 g/h) [47]; 3 Odds ratios (ORs) for oropharyngeal cancer, ALDH2-deficient subjects compared to ALDH2-active subjects [37,39]; 4 One dose of alcohol is assumed to be ingested in three sips at 5-minute intervals staying each in the mouth for about 5 s before swallowing. Adapted from [12,13,48]; 5 Relative risk (RR) of oropharyngeal cancer for 1 dose alcohol (10g ethanol)/day [49]; 6 Adapted from [50]; 7 OR for head and neck cancer in never drinkers smoking > 3–5 cigarettes/day [51]; 8 One commercially available yogurt (approximately 150 mL)/day with lowest reported ACH level, consumed in 3 min. Adapted from [52]; 9 Three commercially available yogurts (approximately 3 × 150 mL)/day with highest reported ACH level, each consumed in 5 min. Adapted from [52]; 10 One commercially available apple/day with lowest reported ACH level, consumed in 3 min. Adapted from [52]; 11 Three commercially available apples/day with highest reported ACH level, each consumed in 5 min. Adapted from [52]. ?: no data available.
Figure 1Schematic overview of the major factors contributing to salivary acetaldehyde (ACH) levels and therefore the local ACH exposure of oropharyngeal mucosa. ACH exposure leads to molecular changes and mutagenesis, including DNA-adduct formation, DNA-protein crosslinks, DNA strand breaks and chromosomal aberrations. Locally, these changes may lead to dysplasia and further into oropharyngeal cancer. Microbial and host metabolism share the ability to convert ethanol to ACH by the alcohol dehydrogenase enzyme (ADH). There is plethora of microbes that possess highly-active ADH enzymes. However, the subsequent conversion of ACH to less harmful substances seems to be very limited due to the lack of active aldehyde dehydrogenase (ALDH) enzymes in both microbial and oropharyngeal mucosal cells. In contrast to the human host, ethanol fermentation is a specific trait for microbes. In low oxygen tension, sugars derived from dietary sources, such as glucose and fructose, are converted into ethanol and ACH is formed as a byproduct. The possible contribution of fermentative pathways from glucose to local ACH production and further to ethanol has not been explored thus far in vivo. In addition to alcoholic beverages and spirits, multiple dietary constituents can contain ethanol, ACH, or both. There are also other sources of ethanol, such as hygiene products, including daily oral mouthwash use. In addition to alcohol, tobacco is the major contributor to salivary ACH.
Odds ratios (OR) and 95% confidence intervals (CI) for gastric and esophageal cancer in relation to selected food habits based on epidemiological surveys from high-risk areas.
| Type of Cancer | Food Habit | OR | 95%CI | |
|---|---|---|---|---|
| Esophageal | Pickled vegetables 1 | 2.10 | 1.47–3.0 | <0.001 |
| 3.72 | 1.96–7.14 | <0.001 | ||
| Gastric | Pickled vegetables 3 | 1.52 | 1.37–1.68 | <0.001 |
| Yogurt 4 | 16.26 | 2.1–125.7 | 0.008 | |
| Cheese 4 | 15.05 | 1.6–137.0 | 0.01 | |
| Moldy food 4 | 1.92 | 1.2–3.0 | 0.004 | |
| Pickling liquid 4 | ||||
| Brine | 4.76 | 2.2–10.4 | <0.001 | |
| Vinegar + brine | 3.34 | 1.6–7.0 | 0.002 |
1 Data based on a large meta-analysis from China [138]; 2 Fermented milk used in western Kenya, an area with high incidence of esophageal cancer [56,139]. ORs have not been adjusted; 3 Data based on large meta-analysis including several different countries, such as China, Korea, and Japan [114]; 4 Food habits in high-risk area for gastric cancer in northeastern Iran with adjusted ORs [117].
Environmental, genetic, disease-based, and iatrogenic risk factors or conditions for upper GI tract cancer and their effect on local acetaldehyde (ACH) exposure via saliva. Without the presence of ethanol or tobacco, salivary ACH levels are under the detection limit (<2 µM, [12,50]). The estimated concentration range of mutagenicity for ACH is 40–100 µM [20].
Environmental risk factors: Alcohol consumption: Instant exposure: Microbial formation of ACH from ethanol (up to > 260 µM) in saliva for 0–10 min after each sip of alcohol [ Long-term exposure: Ethanol diffused to saliva from blood is oxidized mainly by oral microbes to ACH (mean 25 µM) in saliva for as long as ethanol remains in the human body [ Tobacco smoking: Mean 260 µM of ACH in saliva for as long as smoking continues [ Smoking + drinking: Seven-fold increase in local ACH exposure via saliva [ Chronic smoking and heavy drinking: Both modify oral flora resulting in approximately 100% increase in salivary ACH production from ethanol both in vitro and in vivo [ There is no evidence that ACH derived from ethanol or ACH-containing “non-alcoholic” beverages and food (or both) is less carcinogenic than ACH derived from official alcoholic beverages [ Gene polymorphism-based risk conditions: ALDH2 deficiency among alcohol-consuming East Asians [ Highly active ADH among Caucasians [ Disease-based risk conditions: Poor oral hygiene [ Atrophic gastritis [ APECED (autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy): Rare disease characterized by chronic oral candidiasis and increased risk for oral cancer [ Iatrogenic risk conditions: Long-term use of drugs suppressing gastric acid secretion (PPIs, H2-blockers) [ |