| Literature DB >> 35277027 |
Angelica Varesi1,2, Elisa Pierella3, Marcello Romeo1, Gaia Bavestrello Piccini4, Claudia Alfano5, Geir Bjørklund6, Abigail Oppong3, Giovanni Ricevuti7, Ciro Esposito8, Salvatore Chirumbolo9, Alessia Pascale10.
Abstract
Gut microbiota is emerging as a key regulator of many disease conditions and its dysregulation is implicated in the pathogenesis of several gastrointestinal and extraintestinal disorders. More recently, gut microbiome alterations have been linked to neurodegeneration through the increasingly defined gut microbiota brain axis, opening the possibility for new microbiota-based therapeutic options. Although several studies have been conducted to unravel the possible relationship between Alzheimer's Disease (AD) pathogenesis and progression, the diagnostic and therapeutic potential of approaches aiming at restoring gut microbiota eubiosis remain to be fully addressed. In this narrative review, we briefly summarize the role of gut microbiota homeostasis in brain health and disease, and we present evidence for its dysregulation in AD patients. Based on these observations, we then discuss how dysbiosis might be exploited as a new diagnostic tool in early and advanced disease stages, and we examine the potential of prebiotics, probiotics, fecal microbiota transplantation, and diets as complementary therapeutic interventions on disease pathogenesis and progression, thus offering new insights into the diagnosis and treatment of this devastating and progressive disease.Entities:
Keywords: Alzheimer’s disease; biomarker; diet; dysbiosis; fecal microbiota transplantation; gut microbiota; gut–brain axis; prebiotics; probiotics
Mesh:
Substances:
Year: 2022 PMID: 35277027 PMCID: PMC8840394 DOI: 10.3390/nu14030668
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Gut microbiota-based biomarkers for AD.
| Ref. | Journal | Study Cohort and Design | Analysis Performed | Results | Biomarker/s |
|---|---|---|---|---|---|
| Yan et al., 2021 [ | Front. Aging Neurosci. | APP/PS1 transgenic mice (8 months old, | Fecal metagenomic and metabolites | ↑ |
Glutamate, hypoxanthine, thymine, hexanoyl-CoA, and leukotrienes in ADF or ADNS |
| Bello-Medina et al., 2021 [ | Front. Neurosci. | Mice 3xTg-AD 3 and 5 month-old ( | Fecal sample collection, α and β diversity, LDA and LEfSe | ↓ |
β diversity changes Increase in the bacteria families and genera: |
| Gu et al., 2021 [ | Alzheimers Res. Ther. | APP/PS1 transgenic mice ( | 16S rRNA sequencing of the gut microbiome and integrated metabolomics | ↓ SCFA-producing bacteria (i.e., |
Inflammatory factors (IL-6 and INF-γ), phosphatidylcholines and SCFA-producing bacteria as combinatorial biomarker for AD |
| Shen et al., 2017 [ | J. Alzheimers Dis. | APP/PS1 transgenic mice were compared to WT | 16S rRNA sequencing | ↓ Gut microbiota diversity in APP/PS1 mice compared to controls |
Gut microbiota signature in AD and controls |
| Chen et al., 2020 [ | Biomed. Res. Int. | APP/PS1 transgenic mice were compared to WT controls ( | 16S rRNA sequencing from fecal samples | ↑ |
Changes in gut microbiota composition precede plaque deposition: early biomarker |
| Tan et al., 2020 | Benef. Microbes | Gut microbiota composition analysis | ↑ |
| |
| Zhang et al., 2021 [ | Am. J. Clin. Nutr. | Humans: 75 MCI individuals and 52 heathy controls | Changes in gut microbiota and serum miRNA expression | ↓ Microbial diversity, |
Differential gut microbiota composition, diet quality scores and serum miRNA as combinatorial biomarker for MCI patients |
| Li et al., 2019 [ | Alzheimers Dement. | Humans: AD patients ( | Analysis of microbiota community in the faeces and blood via 16S rRNA sequencing | ↓ Microbial diversity in AD and MCI compared to controls |
Changes in gut microbiota as early diagnosis in AD |
| Liu et al., 2019 [ | Brain Behav. Immun. | Humans: AD patients ( | 16S rRNA MiSeq sequencing and phylogenetic investigation of communities by recontruction of unobserved states | ↓ Microbial diversity in AD compared to MCI and controls |
The abundance of the |
| Ling et al., 2021 [ | Front. Cell Dev. Biol. | Humans: 100 AD patients and 71 age- and gender- matched healthy controls | 16S rRNA Miseq sequencing of fecal microbiota | ↓ Microbial diversity in AD compared to controls |
Microbiota shift from butyrate producer to lactate producer genera (from |
| Vogt et al., 2018 [ | Alzheimer Res. Ther. | Humans: AD patients ( | Cerebrospinal TMAO levels measurement | ↑ TMAO in AD and MCI compared to controls |
TMAO levels in the cerebrospinal fluid |
| Wu et al., 2021 [ | Nutrients | Humans: AD patients ( | LC/GC/MS metabolomics profiling of fecal microbiota | ↓ Tryptophan metabolites in MCI and, more pronounced, in AD compared to controls |
Indole-3-pyruvic acid and five SCFAs for pre-onset and progression of AD |
Abbreviations: APP/PS1: APPswe/PSEN1dE9 transgenic; GC: gas chromatography; LDA: linear discriminant analysis; LEfSe: linear disciminant analysis effect size; LC = liquid chromatography; MCI: mild cognitive impaired; MS: mass spectrometry; SCFAs: short chain fatty acids; 3xTg; triple-transgenic mouse model of AD; TMAO: Trimethylamine N-oxide; WT: wild type; ↑: increase; ↓: decrease.
Evidence of diet as a possible complementary therapy in AD.
| References | Type of Studies | Dietary Intervention | Aim | Outcomes |
|---|---|---|---|---|
| Duplantier et al., Nutrients, 2021 [ | 27 ObS, 5 RCT | Medi or DASH or MIND | Association between diet and cognitive health | Promising results for Medi diet but inconsistent outcomes. Lack of accuracy and standard tools |
| Bartochowski et al., Curr. Nutr. Rep., 2020 [ | 4 RCT | Medi or MIND | Association between diet and AD | Protective and promising therapeutic role of Medi. Not enough evidence for MIND. |
| 24 RCT | Vitamins and supplements (curcumin, EGb 761, EPA, DHA) | No statistically significant results; promising evidence for vitamin D supplementation and curcumin use. | ||
| Gutierrez et al., Nutrients, 2021 [ | 61 RCT | Different dietary patterns | Effects of nutrition on cognitive function | Healthy food consumption (Medi Diet) improves cognitive function. Polyphenols have protective effects. Low evidence for PUFAs, vitamin D and other supplements. |
| Limongi et al., J. Am. Med. Dir. Assoc., 2020 [ | 38 LS and 7 RCT | Medi | Association between diet and late-life cognitive disorders | Protective and promising therapeutic role of Medi diet for cognitive impairment. |
| Kheirouri et al., Critical Reviews in Food Science and Nutrition, 2021 [ | 9 CS, 3CrS, 1 RCT | MIND | Association between diet and neurodegenerative delay and cognitive functions | Improvement in cognition; limited number of studies and lack of mechanistic aspects in humans. |
| Lilamand et al., Curr. Opin. Clin. Nutr. Metab. Care, 2021 [ | 8 IS | KD or KS | Association between diet and cognitive and biological/neuropathological outcomes | Evident improvement: decrease in cerebral inflammation, Aβ-amyloid, aggregates of tau protein. |
| Grammatikopoulou et al., Adv. Nutr., 2020 [ | 10 RCT | KD or KS | Effects of KD on patients with AD/mild cognitive impairment | Improvement in acute and long-term cognition. |
| Pavón et al., Nutr. | N/A | KD or KS | Effect of KD on cognitive skills in patients with AD, PD, refractory epilepsy, and type 1 glucose deficiency syndrome | Improvements in memory, cognitive performance and learning capabilities |
| Jensen et al., Int. J. Mol. Sci., 2020 [ | N/A | KD or KS | Effects of KD on brain metabolism and function in neurodegenerative diseases | Reduction in AD symptoms. |
| Christensen et al., Nord. J. Psychiatry, 2021 [ | 24 RCT | KD or KS or modified Atkins diet | Effects of KD on CNS diseases | Modified-Atkins diet significantly improved memory in AD patients. |
| Moreira et al., Dement. neuropsychol., 2020 [ | 32 RCT | Omega-3, nutritional formula including ginseng, inositol and coconut oil | Association between diet and cognitive performance in AD | Omega-3 fatty acids showed positive effects at different doses. Probiotic, Ginseng, Inositol and specialized nutritional formulas might have a positive effect on cognition. |
| Zhang et al., Nutrients, 2020 [ | 12 CS, 3 case-control, 13 CrS, 1 IS | Meat | Association between meat (red meat, processed meat and poultry) consumption and cognitive functions | No significant association. |
| Dimache et al., Nutrients, 2021 [ | 21 (ObS, LS, CrS, IS) | Association between triglycerides with cognitive, vascular cognitive impairment and amyloid accumulation | In longitudinal studies: TG level is associated with cognitive decline. In cross sectional studies no correlation. | |
| Gkotzamanis et al., Psychiatriki, 2020 [ | 4 RCT | Omega-3 | Effect of supplementation on dementia | Promising preventative but not therapeutic effect. |
| 6 RCT | polyphenols | |||
| El Gaamouch et al., Neurochem. Int., 2021 [ | N/A | Grape polyphenols | Association between grape polyphenols and AD | No significant results from interventions. |
| Colizzi et al., Alzheimers Dement. (N Y), 2019 [ | 24 RCT | Polyphenols | Association between polyphenols and AD | 12 studies found a positive correlation with reduced cognitive decline; 5 studies did not find any correlation and 7 studies reported mixed results. |
| Mielech et al., Nutrients, 2020 [ | 8 CS/RCT | Vitamins B | Association between antioxidant vitamins and AD and cognitive decline | 4 studies: beneficial effect slowing cognitive decline; 4 studies: no differences |
| 3 CS/RCT | Vitamin A | Protective effect for cognitive functions in 2 studies. | ||
| 7 CS/RCT | Vitamins C and E | Protective effect for AD in 5 studies. | ||
| 7 CS/RCT | Vitamin D | Low level in the serum associated with increased risk of cognitive decline; no positive correlation with supplementation. | ||
| Szczechowiak et al., Pharmacology Biochemistry and Behavior, 2019 [ | N/A | Pro-inflammatory (rich in saturated fats, meat) vs. anti-inflammatory (rich in vitamins, antioxidants, probiotics) diet | Association between pro- and anti-inflammatory diets and AD prevention and treatment | Overconsumption of foods rich in d-AGEs (Dietary Advanced Glycosylation End-products), saturated fats and red and processed meat have a pro-inflammatory influence on AD patients’ brains. |
| Kosti et al., Nutr. Rev., 2021 [ | Fish, EPA/DHA supplementation | Associations between fish intake and AD dementia or AD and the effect of EPA/DHA supplementation on cognitive performance. | Regular consumption of fish up to 2 portions per week seems to be more protective than EPA/DHA supplementation. | |
| Haider et al., International Journal of Geriatric Psychiatry, 2020 [ | 4 RCT | Vitamins B and E, omega-3, polyunsaturated fatty acids. | Effects of nutritional supplementation | No significant results. |
| Arbo et al., Front. Aging Neurosci., 2020 [ | 3 RCT, 1 retrospective study | Resveratrol | Effect of resveratrol as potential treatment in AD and PD | No significant results in human trails. |
Abbreviations: CrS: cross sectional study; CS: cohort studies; DHA: docosahexaenoic acid; EGb 761: Ginkgo biloba extract 761; EPA: eicosapentaenoic acid; KD: ketogenic diet; KS: ketogenic supplement; IS: interventional study; LS: longitudinal study; Obs: observational studies; RCT: randomized controlled trial.
Murine and human studies performing FMT in AD.
| Ref. | Journal | Study Cohort/Sample Size | Donor | Recipient | Transplantation Technique | Results |
|---|---|---|---|---|---|---|
| Hazan et al., 2020 [ | J. Int. Med. Res. | Case study ( | 85-year-old woman (recipient’s wife) | 82-year-old man with recurrent CDI and AD | Single 300 mL FMT infusion | ↑ Cognitive function (MMSE test) |
| Park et al., 2021 [ | Curr. Med. Res. Opin. | Case study ( | 27-year-old healthy man | 90-year-old woman with AD and severe CDI | Colonoscopy (60 g of stool suspension for 2 times). | ↑ Cognitive function tests (MMSE, MCA and CDR tests) |
| Kim et al., 2021 [ | Brain. Behav. Immun. | Mouse | 5xFAD mice | C57BL/6 mice | Oral gavage (200 ul for 5 consecutive days) | ↓ Adult hippocampal neurogenesis and BDNF expression |
| Sun et al., 2019 [ | Transl. Psychiatry | Mice | WT mice | APPswe/PS1dE9 transgenic (Tg) mouse model | Intragastrically (0.2 mL of fresh fecal solution once daily for 4 weeks) | ↑ Cognitive function (MWM and ORT tests) |
| Wang et al., 2021 [ | Brain. Behav. Immun. | Mice | 16 months old APPSWE/PS1ΔE9 mice | 3 months old APPSWE/PS1ΔE9 mice | Antibiotic cocktails for 2 weeks by gavage and then FMT for 7 consecutive days by oral gavage | ↑ Aβ plaques |
| Kim et al., 2020 [ | Gut | Mice ( | WT mice | ADLPAPT transgenic mouse model | Fresh fecal matters for 16 weeks by oral gavage or for 4 weeks in mice pre-treated with antibiotics | ↓ Aβ plaques |
| Harach et al., 2017 [ | Sci. Rep. | Mice | 12 month-old) CONVR-WT or CONVR-APPPS1 mice | 4 month-old GF-APPPS1 mice | Oral gavage of fecal contents on day 1 and day 4 | ↑ Cerebral Aβ pathology |
| Fujii et al., 2019 [ | Biosc. Biotechnol. Biochem. | Humanized mice | 4-weeks old germ-free C57BL/6N mice | Human healthy volunteers (76-year-old female) or AD patients (82-year-old male) | Oral inoculation | ↓ OLT and ORT in mice colonized with AD microbiome |
| Zhan et al., 2018 [ | Aging | Mice | SAMP8 or SAMR1 mice | pseudo germ-free mice | 0.2 mL fecal suspension by gavage for 14 days | ↑ Behaviour (only from SAMR1 transplant) |
| Dodiya et al., 2019 [ | J. Exp. Med. | Mice | age-matched APPPS1-21 | ABX-treated APPPS1-21 male | 0.2 mL fecal slurry by gastric gavage daily starting on P25 until sacrifice | ↓ Aβ pathology |
| Cui B. et al.,2018 [ | Journal of Neuroinflammation | Mice | Low intensity noise (LN) exposure SAMP8 mice (control group) and high intensity noise (HN) exposure (AD model group) | male 3-month-old SAMP8 mice | 0.1 mL fecal preparation via oral gavage twice per week for 30 days | ↑ CLDN1 and ZO-1 in intestine and hippocampus of HN microbiota recipient |
| Valeri et al., 2021 [ | Microorganisms | Mice | Either 4 months old or 1 year old wild type mice | 5xFAD mice (4-month old) | 150 µ fecal preparation via oral gavage one time after antibiotics-treatment | ↑ |
ABX: antibiotic cocktail; APP: APPPS1-21; BDNF: brain derived neurotrophic factor; CDI: Clostridioides difficile infection; CDR: Clinical Dementia Rating assessment; CLDN1: claudin 1; CONVR-APPPS1: conventionally-raised transgenic APPPS1 mice; COX2: cyclooxygenase 2; FMT: fecal microbiota transplantation; LPS: lipopolysaccharide; MCA: Montreal Cognitive Assessment; MMSE: Mini-Mental State Examination; MWM: Morris water maze test; OLT: object location test; ORT: object recognition test; PSD-95: postsynaptic density protein 95; SAMP8: senescence-accelerated mouse prone 8; SAMR1: senescence-accelerated mouse resistant 1; SCFAs: short chain fatty acids; ZO-1: Tight junction protein-1; ↑: increase; ↓: decrease.