| Literature DB >> 33228179 |
Sandra Sánchez-Sarasúa1, Iván Fernández-Pérez1, Verónica Espinosa-Fernández1, Ana María Sánchez-Pérez1, Juan Carlos Ledesma1.
Abstract
Alzheimer's disease (AD), considered the most common type of dementia, is characterized by a progressive loss of memory, visuospatial, language and complex cognitive abilities. In addition, patients often show comorbid depression and aggressiveness. Aging is the major factor contributing to AD; however, the initial cause that triggers the disease is yet unknown. Scientific evidence demonstrates that AD, especially the late onset of AD, is not the result of a single event, but rather it appears because of a combination of risk elements with the lack of protective ones. A major risk factor underlying the disease is neuroinflammation, which can be activated by different situations, including chronic pathogenic infections, prolonged stress and metabolic syndrome. Consequently, many therapeutic strategies against AD have been designed to reduce neuro-inflammation, with very promising results improving cognitive function in preclinical models of the disease. The literature is massive; thus, in this review we will revise the translational evidence of these early strategies focusing in anti-diabetic and anti-inflammatory molecules and discuss their therapeutic application in humans. Furthermore, we review the preclinical and clinical data of nutraceutical application against AD symptoms. Finally, we introduce new players underlying neuroinflammation in AD: the activity of the endocannabinoid system and the intestinal microbiota as neuroprotectors. This review highlights the importance of a broad multimodal approach to treat successfully the neuroinflammation underlying AD.Entities:
Keywords: Alzheimer’s disease; endocannabinoid system; gut microbiota; insulin resistance; neuroinflammation; nutraceuticals
Mesh:
Substances:
Year: 2020 PMID: 33228179 PMCID: PMC7699542 DOI: 10.3390/ijms21228751
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Amyloid precursor protein (APP) processing. The α and γ secretases are involved in the non-amyloidogenic pathway, whereas the β and the γ secretases are involved in the amyloidogenic pathway, generating the Aβ toxic oligomer.
Clinical studies testing antioxidant molecules with potential therapeutic value for Alzheimer’s disease treatment. Other: other symptoms or biomarkers evaluated; NT: not tested; U: unspecified; ADAS-Cog: Alzheimer disease assessment scale–cognitive; APS: Alzheimer Progression Score; BADLS: Bristol Activities of Daily Living Scale; CGI-I: Clinical Global Impression-improvement; MMSE: Mini Mental Status Evaluation Test; NPI: Neuropsychiatry Inventory.
| Compound (Dose). | Source | Patients | Study Design | Inflammatory/AD Biomarkers | Cognitive Effect | Other | Citation |
|---|---|---|---|---|---|---|---|
| Naproxen | Derived from propionic acid | 195 | 2 years | NT | = APS progression | - | [ |
| Celecoxib | Derived from propionic acid | 2356 | 3 years | NT | = ADAPT score | - | [ |
| Etanercept | U | 41 | 24 weeks | = TNF-α levels | = ADAS-cog score | - | [ |
Figure 2Insulin signaling cascade. The scheme shows the negative feedback mechanism that mTORC1 exerts over IRS1/2. Activation of AMPK inhibits mTORC1, thus improving insulin signaling. In pathological situations, insulin resistance reduces Akt activity, leading to higher GSK-3β activity and subsequent Tau hyperphosphorylation, an important hallmark of AD.
Clinical studies testing anti-inflammatory molecules with potential therapeutic value for Alzheimer disease treatment. Other: other symptoms or biomarkers evaluated. NT (not tested); U (unspecified). Acetate, propionate and butyrate are short-chain fatty acids. ADAS-Cog: Alzheimer disease assessment scale–cognitive; ADFACS: Alzheimer’s Disease Functional Assessment and Change Scale; ADCS-ADL: ADCS Activity of Daily Living; CDR: Clinical Dementia Rating; MMSE: Mini Mental Status Evaluation Test; NPI: Neuropsychiatric Inventory; PAL-WMS-R: Paired-Associate Learning Wechsler Memory Scale.
| Compound (Dose) | Source | Patients (Years Old) | Study Design | Inflammatory/AD Biomarkers | Cognitive Effect | Other | Citation |
|---|---|---|---|---|---|---|---|
| Metformin (200 mg/day) | 20 (55–80) | 8 weeks | = Aβ42 levels | ↑ Learning and memory (CANTAB PAL scale) | Crosses the BBB | [ | |
| = phospho-TAU levels | ↑ Attention (DMS Percent Correct Simultaneous) | ||||||
| = total TAU levels | |||||||
| Lactoferrin (250 mg/day) | Milk | 50 (>65) | 3 months | ↑ IL-10 levels | [ | ||
| ↑ GSH levels | ↑ Ach levels | ||||||
| ↓ IL-6 levels | ↑ 5-HT levels | ||||||
| ↓ Aβ42 levels | ↑ AKT levels | ||||||
| ↓ Caspase-3 levels | ↑ MMSE score | ↑ phospho- AKT(S473) levels | |||||
| ↓ Cholesterol levels | ↑ ADAS-Cog11 score | ↑ PI3K levels | |||||
| ↓ HSP90 levels | |||||||
| ↓ TAU pTAU(181) | ↓ PTEN levels | ||||||
| ↓ NO levels | ↓ MAPK1 levels | ||||||
| ↓ MDA levels | |||||||
| Vitamin B12 (25 μg/day) + Folic acid (800 μg/day) | Vitamin B12: animal products | 240 (>65) | 6 months | ↓ IL-6 levels | - | [ | |
| ↓ TNF-α levels | ↑ Full Scale IQ (FSIQ) score | ||||||
| ↓ MCP-1 levels | ↑ Verbal intelligence quotient (VIQ) score | ||||||
| ↓ Homocysteine levels | ↑ Information and Digit Span | ||||||
| Vitamin B12 + Risperidone and Quetiapine (atypical antipsychotic drugs) | Risperidone: and | 102 (>65) | U | ↑ TGF-β score | NT | ↓ Pain (VAS scale) | [ |
| Nilvadipine (8 mg/day) | Pyridine (crude coal tar) | 511 (>50) | 18 months | NT | = ADAS-Cog 12 | - | [ |
| Simvastatin 80 mg/day | Statins (Fungus Aspergillus terreus) | 80 (>50) | 18 months | ↓ IL-6 levels | - | [ | |
| ↓ IL-1β levels | ↑ ADAS-Cog score | ||||||
| ↓ ACT levels | ↑ MMSE score | ||||||
| ↓ TNF-α levels | ↑ Dependence Scale score | ||||||
| ↓ APP levels | ↑ ADCS-ADL score | ||||||
| ↓ BACE1 levels | ↑ NPI score | ||||||
| ↓ Aβ levels | |||||||
| Simvastatin 40 mg/day | 406 (>50) | 18 months | ↓ CRP levels | = ADAS-Cog score | ↑ HDL levels | [ | |
| = MMSE score | |||||||
| = Dependence Scale score | ↓ Total cholesterol levels | ||||||
| = ADCS-ADL score | |||||||
| = NPI score | ↓ LDL levels | ||||||
| Atorvastatin 40 mg/day | Statins | 178 (45–60) | 18 months | ↓ IL-1β levels | NT | ↓ Lipid levels | [ |
| Atorvastatin 80 mg/day | 640 (50–90) | 18 months | NT | = ADAS-Cog score | [ | ||
| = ADCS-CGIC score | ↓ Total cholesterol levels | ||||||
| = MMSE score | |||||||
| = CDR-SB score | ↓ LDL-C levels | ||||||
| = ADFACS score | ↓ Triglycerides levels | ||||||
| = NPI score | |||||||
| Tetrahydrocannabinol | 50 (78–79) | 3 weeks | NT | = NPI score | [ |
Clinical studies testing nutraceuticals with a potential therapeutic value for Alzheimer’s disease treatment. Other: other symptoms or biomarkers evaluated; NT: not tested; U: unspecified; ADAS-Cog: Alzheimer disease assessment scale–cognitive; ADCS-ADL: ADCS Activity of Daily Living; AVL: Auditory Verbal Learning Test; CCR: Cambridge Contextual Reading Test; CN: Category naming test; COWA: Controlled Oral Word Association Test; DSS: Digit Symbol Substitution Test; MMSE: Mini Mental Status Evaluation Test; MoCA: Montreal Cognitive Assessment; WAIS-R: Wechsler Adults Intelligence Scale.
| Compound (Dose) | Source/Study | Patients | Study Design | Inflammatory/AD Biomarkers | Cognitive Effect | Other | Citation | |
|---|---|---|---|---|---|---|---|---|
| Curcumin | (1.5–4 g/day) | Turmeric | 34 | 6 | ↓ Aβ aggregation | = MMSE score | - | [ |
| (1500 mg/day) | 160 | 12 months | NT | ↑ MoCA score | - | [ | ||
| Resveratrol | Red grapes, peanuts and other plant species | 119 | 52 | ↑ MDC levels | ↑ ADCS-ADL score | - | [ | |
| PUFA | Multimodal | 1680 Non demented | 3 | NT | = MMSE score | Safe | [ | |
| Heat processed Ginseng | 40 | 6 | NT | ↑ ADAS-Cog score | - | [ | ||
| Abscisic acid | Fig fruit extract | 10 Non-demented | 4 non-consecutive sessions | NT | NT | Safe | [ | |
Figure 3Working hypothesis, namely, the role of the ECS, on neuroinflammation in AD. Inflammatory cytokines activate CB2 signaling in microglia, which, in turn, initiates a feedback mechanism to finish this process. Due to the chronic inflammatory process in the AD brain, the CB2 pathway remain active; however, it fails to reduce inflammation.
Clinical studies focused on the regulation of the activity of the gut microbiota as a potential treatment against Alzheimer’s disease. Other: other symptoms or biomarkers evaluated; NT: not tested; CDT: clock Drawing test; MMSE: Mini-Mental Status; RBANS: Repeatable Battery for the Assessment of Neuropsychological Status.
| Compound (Dose) | Patients | Study Design | Inflammatory/AD Biomarkers | Cognitive Effect | Other | Citation |
|---|---|---|---|---|---|---|
| Mediterranean-Ketogenic diet | 17 | 6 | ↓ Aß42 | NT | ↑ | [ |
| = Aß-42 | NT | ↑ | ||||
| Mediterranean diet (extra-virgin olive oil 1 l/week) or 30 g/day nuts | 522 | 6.5 | NT | ↑ MMSE score | - | [ |
| 117 | 12 | NT | ↑ RBANS score | Safe | [ |
Clinical studies testing a multidomain intervention as a treatment against Alzheimer’s disease. Other: other symptoms or biomarkers evaluated; NT: not tested; NTB; Neuropsychological Test Battery.
| Compound (Dose) | Source | Patients | Study Design | Inflammatory/AD Biomarkers | Cognitive Effect | Other | Citation |
|---|---|---|---|---|---|---|---|
| Nutritional intervention (10–20% of daily energy (E%) from proteins, 25–35E% from fat, 45–55 E% from carbohydrates, 25–35 g/day dietary fiber) | Multimodal | 1260 | 2 years | NT | ↑ NTB score | - | [ |