| Literature DB >> 32230811 |
Bin Peng1, Qiang Yang2, Rachna B Joshi1,3, Yuancai Liu2, Mohammed Akbar4, Byoung-Joon Song5, Shuanhu Zhou6, Xin Wang1.
Abstract
Neurodegenerative diseases, including Alzheimer's disease (AD), Parkinson's disease (PD) and amyotrophic lateral sclerosis (ALS), increase as the population ages around the world. Environmental factors also play an important role in most cases. Alcohol consumption exists extensively and it acts as one of the environmental factors that promotes these neurodegenerative diseases. The brain is a major target for the actions of alcohol, and heavy alcohol consumption has long been associated with brain damage. Chronic alcohol intake leads to elevated glutamate-induced excitotoxicity, oxidative stress and permanent neuronal damage associated with malnutrition. The relationship and contributing mechanisms of alcohol with these three diseases are different. Epidemiological studies have reported a reduction in the prevalence of Alzheimer's disease in individuals who drink low amounts of alcohol; low or moderate concentrations of ethanol protect against β-amyloid (Aβ) toxicity in hippocampal neurons; and excessive amounts of ethanol increase accumulation of Aβ and Tau phosphorylation. Alcohol has been suggested to be either protective of, or not associated with, PD. However, experimental animal studies indicate that chronic heavy alcohol consumption may have dopamine neurotoxic effects through the induction of Cytochrome P450 2E1 (CYP2E1) and an increase in the amount of α-Synuclein (αSYN) relevant to PD. The findings on the association between alcohol consumption and ALS are inconsistent; a recent population-based study suggests that alcohol drinking seems to not influence the risk of developing ALS. Additional research is needed to clarify the potential etiological involvement of alcohol intake in causing or resulting in major neurodegenerative diseases, which will eventually lead to potential therapeutics against these alcoholic neurodegenerative diseases.Entities:
Keywords: Alzheimer’s disease; Amyotrophic lateral sclerosis; Parkinson’s disease; alcohol; neurodegenerative diseases
Mesh:
Substances:
Year: 2020 PMID: 32230811 PMCID: PMC7177420 DOI: 10.3390/ijms21072316
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Important risk factors for Alzheimer’s disease (AD), Parkinson’s disease (PD) and Amyotrophic lateral sclerosis (ALS).
| AD | PD | ALS | |
|---|---|---|---|
| Increased risk, ↑ robust evidence | Pesticides, elevated blood pressure, elevated total cholesterol levels, current smoking, head injury, | Pesticides, aging | Smoking, pesticides, family history, aging, gender |
| Increased risk, ↑ weak evidence | BMI, diabetes mellitus, alcohol (excessive), poor diet, depression | Consumption of dairy products, history of melanoma, traumatic brain injury, high iron intake, chronic anemia, alcohol | Head trauma, low premorbid BMI, workers or farmers, heavy metals, BMAA, previous viral infection, electrical magnetic fields, strenuous physical activity |
| Reduced risk, ↓ robust evidence | Alcohol (moderate), physical exercise, cognitive activity, educational attainment | Smoking, caffeine consumption, higher serum urate concentrations [ | |
| Reduced risk, ↓ weak evidence | Mediterranean diet, coffee, non-steroidal anti-inflammatory drugs | Physical activity, ibuprofen and other common medications, tea, Vitamin E | Vitamin E, high blood pressure, longer duration of education, alcohol, reading, retirement, hyperglycemia [ |
APOE4: epsilon 4 allele of the apolipoprotein E; BMI: Body mass index; BMAA: β-methylamino-L-alanine.
Figure 1The harmful effects and mechanisms of alcohol. Chronic and excessive alcohol consumption alters gut microbiota, increases intestinal permeability (leaky gut) and causes brain damage. Lipopolysaccharide (LPS) and peptidoglycan (PGN) from the gut lumen to the systemic circulation are recognized by toll-like receptors (TLRs) expressed by immune cells and induce structural plasticity changes such as ionized calcium-binding adapter molecule 1 (IBA1) and glial fibrillary acidic protein (GFAP), as well as an inflammatory response by the nuclear factor-ĸB (NF-ĸB) pathway. The inflammatory cytokines and mediators, such as interleukin 4 (IL-4), IL-10, reactive oxygen species (ROS), inducible NO synthase (iNOS), IL-1β, IL-6, tumor necrosis factor (TNF)-α, C-C Motif Chemokine Ligand 2 (CCL2) and cyclooxygenase-2 (COX-2) may result in altered neuronal functions and angiogenesis.
Figure 2Dual roles of alcohol drinking in Alzheimer’s disease (AD), Parkinson’s disease (PD) and Amyotrophic lateral sclerosis (ALS). In AD, low or moderate concentrations of ethanol protect against the damage induced by Aβ. Excessive amounts of ethanol increase accumulation of Aβ and Tau phosphorylation [35]. In PD, most studies show that alcohol decreases levels of DA and increases the levels of αSYN. One study suggested that the high drinking alko alcohol (AA) rats showed lower stimulated DA levels and more efficient DA re-uptake in the nucleus accumbens core than the low drinking non-alcohol (ANA) rats did. In the same structure, AA rats also had significantly higher levels of α-syn. No differences were found in the effects of two different doses of ethanol (0.1 and 3.0 g/kg) [42]. A meta-analysis concluded that beer, but not wine and liquor, probably protected against PD [36]. In ALS, red wine extract intake was reported to prolong the lifespan of mSOD1-transgenic mice and protected neurons from apoptosis in vitro. There is a dysfunction of the glutamatergic excitatory system in ALS, and chronic alcohol intake involves changes in glutamatergic transmission. The association between alcohol and ALS is still unclear. Abbreviations: Aβ: β-amyloid; DA: Dopamine; mSOD1: Mutated SOD1.
Evidence-based reviews on the relationship between alcohol intake and AD.
| Reference, Year | Study Population | Study Design | No. of Subjects(Cases/Controls) | Diagnosis Criteria | Adjusted Confounders | Alcohol Exposure | OR (95%CI) |
|---|---|---|---|---|---|---|---|
| Langballe et al., 2015 [ | Population-based | Cohort | 595/40,435 | ICD-10 | Age, sex, years of | Abstainers; | 1.09 (0.80–1.48) |
| Weyerer et al. | Prospective longitudinal study | Cohort | 111/3202 | DSM-III-R, DSM-IV and | Age, gender, education, | Abstinent; | 1 (referent group) |
| Zhou et al., 2011 [ | Population-based | Cohort | 172/3170 | DSM-IV | Age, BMI, education, | Occasional drinking; | 1 |
| Luchsinger et al., 2004 [ | Cohort of elderly persons | Cohort | 199/2126 | DSM-IV | Age, gender, education, | None; | 1 |
| Mukamal et al. | Cohort | Case- | 373/373 | DSM-IV | Age, sex, race, | Less than 1 drink/week; | 0.65 (0.41–1.02) |
| Lindsay et al. | Nationwide, population-based | Cohort | 194/3894 | DSM-IV | Age, sex, education, family history of dementia, | At least weekly | |
| Ruitenberg et al., 2002 [ | Population-based | Cohort | 146/7983 | DSM-III-R | Age, sex, BMI, SBP, | <1 drink per week; | 0.91 (0.58–1.44) |
| Huang et al., 2002 [ | Community-based dementia- | Cohort | 84/402 | DSM-III-R criteria | Age, gender, education, smoking, institutionali-zation | Nondrinker; | 1 |
IADL: Instrumental Activities of Daily Living; MCI: Mild cognitive impairment; DM-2: Type 2 diabetes mellitus; BMI: Body mass index; TIA: Transient ischemic attack.
Evidence-based studies on the relationship between alcohol and PD.
| Reference, Year | Study Population | Study Design | No. of Subjects | Diagnosis Criteria and Case Ascertainment | Adjusted Confounders | Alcohol Exposure | OR (95%CI) |
|---|---|---|---|---|---|---|---|
| Liu et al., 2013 [ | NIH-AARP Diet and Health Study | Cohort | 1113/306,895 | PD clinic, | Age, gender, race, education, marital status, smoking, caffeine intake, general health status, physical activity | Beer (drinks/day) | |
| Palacios et al., 2012 [ | The Cancer Prevention Study II | Cohort | 605/132,403 | PD clinic, | Age, smoking, coffee intake, caloric intake, dairy intake, use of ibuprofen, physical activity and baseline body mass index pesticide exposure, education | Men | |
| Fukushima et al., 2010 [ | 11 collaborating hospitals in Japan | Case- | 214/327 | The UK PD Society Brain Bank clinical diagnostic criteria | Sex, age, region of residence, smoking, education, BMI, alcohol flushing status, presence of medication history for hypertension, hypercholesterolemia, diabetes, caffeine intake, cholesterol, vitamin E, vitamin B6, iron, and dietary glycemic index | 0 | 1 |
| Nicoletti | Five Movement Disorder centers in Central-Southern Italy | Case- | 492/459 | The diagnostic criteria proposed by Gelb et al. in 1999 [ | Age, sex, family history, place of residence coffee consumption (ever/never) and smoking (ever/never) | Wine (Glasses/day) | |
| Brighina et al., 2009 [ | Mayo Clinic in Rochester | Case- | 893/893 | Incidence and distribution of parkinsonism in Olmsted County [ | Age and sex, education, smoking, and coffee use | Overall (ever vs. never) | 0.88 (0.68–1.12) |
| Tan et al., 2008 [ | Singapore Chinese Health Study; prospective cohort | Cohort | 157/63,257 | Advisory Council of the US National Institute of Neurological Disorders and Stroke [ | Age, year of interview, gender, dialect group, education, smoking, tea, coffee, total caffeine intake | Non- or less-than- | 1 |
| Dick et al., 2007 [ | Five European countries | Case- | 767/1989 | United Kingdom Parkinson’s Disease Society Brain Bank clinical diagnostic criteria [ | Age, sex, | Ever consumed beer, wine or spirits regularly | 0.92 (0.74–1.15) |
| Wirdefeld et al., 2005 [ | Cohort (the Swedish Twin Registry) | Co- | 476/2380 | ICD, IDR and | Age, gender, smoking, coffee intake, education, area of living | No alcohol | 1 |
| Hernán et al., 2004 [ | The General Practice Research Database (GPRD) | Case- | 1019/10,123 | PD clinic, medical records | Age, gender, start date | >500mL/week | 1.09 (0.67–1.78) |
| Hernán et al., 2003 [ | Nurses’ Health Study, Health ProfessionalsFollow-up Study | Cohort | 415/13689 | Medical records, NDI | Age, smoking, caffeine intake | 0 | 1 |
| Checkoway et al. | Western Washington State | Case- | 210/347 | PD clinic, | Age, ethnicity, education, and gender | Drinks/week | |
| Paganini- | Leisure World | Case- | 395/2320 | PD clinic | Age, gender, birthdate, vital status | 2+ alcoholic drinks/day | 0.77 (0.58–1.03) |
AARP: American Association of Retired Persons; ICD: International Classification of Diseases; IDR: Inpatient Discharge Register; CDR: Cause of Death Register; NDI: National Death Index.
Evidence-based studies on the relationship between alcohol intake and ALS.
| Reference, Year | Study Population | Study Design | No. of Subjects Cases/Controls) | Diagnosis Riteria and Case Ascertainment | Adjusted Confounders | Alcohol Exposure | Or (95% ci) |
|---|---|---|---|---|---|---|---|
| D’Ovidio et al., 2019 [ | Population-based, Euro-MOTOR study | Case– | 1557/2922 | Revised El Escorial Criteria [ | Sex, age, cohort, education, leisure time physical activity, smoking, heart problems, hypertension, stroke, cholesterol and diabetes | Ever exposed to | 0.93 (0.75–1.15) |
| Ji et al., 2016 [ | National cohort in Sweden | Cohort | 7965/420,489 | ICD, registry | Age at diagnosis, sex, education, birth country and period at diagnosis | Overall | 0.54 (0.45–0.63) |
| Huisman et al., 2015 [ | Population-based, Netherlands | Case- | 674/2093 | Revised El Escorial criteria | Age, sex, educational level, BMI, smoking, lifetime physical activity; total energy intake | Higher intake of alcohol | 0.91 (0.84–0.99) |
| Sonja et al., 2012 [ | Population-based in the Netherlands | Case- | 494/1599 | Revised El Escorial Criteria, questionnaire | Age, gender, smoking status, educational level, and alcohol consumption | Never drinker | 1 |
| Okamoto et al., 2009 [ | Six medical centers in the Tokai area | Case- | 183/366 | El Escorial World Federation of neurology criteria [ | Age, sex, smoking, bone fracture, vigorous physical activity, stress, Intake of green–yellow vegetables | Nondrinker | 1 |
| Nelson et al., 2000 [ | Population-based, western | Case- | 161/321 | Medical | Age, gender, race, smoking status, education | Nondrinker | 1 |
| Kamel et al., 1999 [ | Population-based study in New England | Case- | 109/256 | Medical examiner or laboratory supported | Age, sex, region and education, smoking status | Ever used alcohol | 1.1 (0.4–3.2) |
BMI: Body mass index; ICD: International Classification of Diseases.