| Literature DB >> 30205543 |
Francesca La Rosa1, Mario Clerici2,3, Daniela Ratto4, Alessandra Occhinegro5, Anna Licito6, Marcello Romeo7, Carmine Di Iorio8, Paola Rossi9.
Abstract
Despite intensive study, neurodegenerative diseases remain insufficiently understood, precluding rational design of therapeutic interventions that can reverse or even arrest the progressive loss of neurological function. In the last decade, several theories investigating the causes of neurodegenerative diseases have been formulated and a condition or risk factor that can contribute is described by the gut-brain axis hypothesis: stress, unbalanced diet, and drugs impact altering microbiota composition which contributes to dysbiosis. An altered gut microbiota may lead to a dysbiotic condition and to a subsequent increase in intestinal permeability, causing the so-called leaky-gut syndrome. Herein, in this review we report recent findings in clinical trials on the risk factor of the gut-brain axis in Alzheimer's disease and on the effect of omega-3 supplementation, in shifting gut microbiota balance towards an eubiosis status. Despite this promising effect, evidences reported in selected randomized clinical trials on the effect of omega-3 fatty acid on cognitive decline in Alzheimer's disease are few. Only Mild Cognitive Impairment, a prodromal state that could precede the progress to Alzheimer's disease could be affected by omega-3 FA supplementation. We report some of the critical issues which emerged from these studies. Randomized controlled trials in well-selected AD patients considering the critical points underlined in this review are warranted.Entities:
Keywords: Alzheimer’s disease; cognitive impairment; microbiota; neurodegeneration; neuroinflammation; omega-3
Mesh:
Substances:
Year: 2018 PMID: 30205543 PMCID: PMC6164598 DOI: 10.3390/nu10091267
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Taxonomic rank associated with dominant bacteria butyrate producers present in the human gut microbiota. All bacteria belong to the Firmicutes phylum. It is possible to divide these into two clusters by 16 rRNA analyses, each defined as a “clostridial cluster”. The first cluster is composed of Rumnococcaceae and Clostridiaceae bacteria, and the latter is composed of Lachnospiraceae bacteria. The production of butyrate preserves gut barrier functions, as well as exerts immunomodulatory and anti-inflammatory effects [29].
Studies investigating the omega-3 fatty acid influence on human gut microbiota.
| Author | Studied Population | Study Design | Supplement | Supplementation Duration | Methods | Results |
|---|---|---|---|---|---|---|
| Watson et at., 2017, [ | 20 middle-aged healthy people | RCT | 4 g of mixed DHA/EPA as capsules and drink | 8 weeks | NGS of 16S rRNA gene, V4 region | At phylum level: no difference for Firmicutes/Bacteroidetes ratio. |
| Pu et al., 2016, [ | 25 people with risk of metabolic syndrome | RCT | 60 g of different unsaturated oil blend | 30 days | Pyrosequncing of 16S rRNA gene, V1-V3 regions | At phylum level: no difference. Reversible increase in Bifidobacterium, Lachnospira, Roseburia, and Lactobacillus |
| Noriega et al., 2016, [ | Case report | one healthy 45-year-old man | 600 mg PUFA by fish protein diet | 2 weeks | NGS of 16S rRNA gene, V4 region | At phylum level: increase in Firmicutes and decrease in Bacteroidetes and Actinobacteria. |
| Menni et al., 2017, [ | 876 middle-aged and elderly women | 350 mg/day of DHA | NGS of 16S rRNA gene, V4 region | At phylum level: increase in Lachnospiraceae. | ||
| Ballego et al., 2016, [ | 32 patients with type 2 diabetes | 100 g of sardines (about 3 g di DHA + EPA/day) | 5 day a week for 6 months | qPCR | At phylum level: Firmicutes/Bacteroidetes ratio decrease. |
Figure 2Possible effects of an omega-3 fatty acid (FA)-rich diet on microbiota and the brain. Omega-3 FAs lead to increases in host-friendly bacterial genera (Eubacterium, Anaerostipes, Roseburia, Subdoligranulum, Coprococcus and Pseudobutyrivibrio) associated with SCFA production.
Selected clinical trials assessing the impact of omega-3 FAs supplementation in AD patients.
| Author | Number of Patients (Dropout Excluded) | Age of Patients | Type of Patients | Study Design | Supplement | Supplementation Duration (months) | Methods | Conclusions |
|---|---|---|---|---|---|---|---|---|
| Freund-Levi et al., 2006, [ | 174 | 74 ± 9 | Mild to moderate AD | RCT | 1.7 g DHA + 0.6 g EPA | 6–12 | MMSE, ADAS-cog CDR | Did not delay the cognitive decline except in a subgroup with very mild AD |
| Freund-Levi et al., 2008, [ | 174 | 74 ± 9 | Mild to moderate AD | RCT | 1.7 g DHA + 0.6 g EPA | 6–12 | NPI, MADRS, DAD, CGP | Does not ameliorate neuropsychiatric symptoms |
| Quinn et al., 2010, [ | 402 | 76 ± 8.7 | Mild to moderate AD | RCT | 2 g DHA | 18 | MMSE ADAS-cog | Does not slow the cognitive and functional decline in mild to moderate AD |
| Shinto et al., 2014, [ | 34 | >55 | probable AD | RCT | 675 mg DHA + 975 mg EPA | 12 | MMSE ADAS-cog | Decrease the rate of decline in MMSE |
| Phillips et al., 2015, [ | 76 | 71 ± 4.8 | 57 with cognitive impairment and 19 with AD | RCT | 600 mg DHA + 625 mg EPA | 4 | MMSE | Negligible benefits on mood and cognition in AD |
| Eriksdotter et al., 2015, [ | 174 | 74 ± 9 | Mild to moderate AD | RCT | 1.7 g DHA + 0.6 g EPA | 6 | MMSE ADAS-cog | Stabilizes the cognitive performance of AD subjects. |
Methods used for cognitive assessment in AD patients.
| Methods | Description |
|---|---|
| Evaluates memory, orientation, language, calculation, attention and visual construction. It is used in clinical practice. Scores range between 0 and 30. Typically, an A cut-off score of 23 or 24 has been used to define significant cognitive impairment. | |
| It is a reliable and sensitive psychometric method for the assessment of cognitive function in dementia. It is used to evaluate changes over time. It consists of 11 items and a score scale between 0 (no impairment) and 70 (very severe impairment). | |
| It measures the functional ability to assess basic living skills of daily life such as bathing, eating. | |
| It measures the functional ability to assess complex skills of daily life such as preparing a meal, using the telephone, shopping. | |
| It is based on caregiver interview. It assesses memory, judgment, orientation. Dementia is classified into questionable, mild, moderate, and severe. | |
| It assesses dementia-related behavioural symptoms. |