Next Article in Journal
The Constrained Disorder Principle May Account for Consciousness
Next Article in Special Issue
Intranasal Administration of Apelin-13 Ameliorates Cognitive Deficit in Streptozotocin-Induced Alzheimer’s Disease Model via Enhancement of Nrf2-HO1 Pathways
Previous Article in Journal
Operative Corridors in Endoscopic Skull Base Tumor Surgery
Previous Article in Special Issue
GABAA Receptor Benzodiazepine Binding Sites and Motor Impairments in Parkinson’s Disease
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Brain Sciences
Volume 14
Issue 3
10.3390/brainsci14030208
brainsci-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Oral Administration of Probiotic Bacteria Alleviates Tau Phosphorylation, Aβ Accumulation, Microglia Activation, and Memory Loss in 5xFAD Mice

by
Yeong Jin Kim
1,
Bo-Ram Mun
1,
Kyu Yeong Choi
2,3 and
Won-Seok Choi
1,*
1
School of Biological Sciences and Technology, College of Natural Sciences, College of Medicine, Chonnam National University, Gwangju 61186, Republic of Korea
2
Gwangju Alzheimer’s and Related Dementia Cohort Research Center, Chosun University, Gwangju 61452, Republic of Korea
3
Kolab, Inc., Gwangju 61436, Republic of Korea
*
Author to whom correspondence should be addressed.
Brain Sci. 2024, 14(3), 208; https://doi.org/10.3390/brainsci14030208
Submission received: 1 February 2024 / Revised: 19 February 2024 / Accepted: 21 February 2024 / Published: 23 February 2024
(This article belongs to the Special Issue Neurobiology Research on Neurodegenerative Disorders)
Browse Figures
Versions Notes

Abstract

:
The gut–brain axis (GBA) plays a significant role in various neurodegenerative disorders, such as Alzheimer’s disease (AD), and the gut microbiome (GM) can bidirectionally communicate with the brain through the GBA. Thus, recent evidence indicates that the GM may affect the pathological features and the progression of AD in humans. The aim of our study was to elucidate the impact of probiotics on the pathological features of AD in a 5xFAD model. Probiotics (Bifidobacterium lactis, Levilactobacillus brevis, and Limosilactobacillus fermentum) were orally administered in 5xFAD mice to modify the GM composition. Additionally, freeze-dried food containing phosphatidylserine was used as the positive control. Behavioral pathogenesis was assessed through the cross maze and Morris water maze tests. Our findings revealed that probiotic administration resulted in significant improvements in spatial and recognition memories. Furthermore, the neuroprotective effects of probiotics were substantiated by a reduction in amyloid-β accumulation in critical brain regions. Microglial activation in 5xFAD mice was also attenuated by probiotics in the hippocampus and cerebral cortex. Moreover, elevated tau phosphorylation in 5xFAD mice was ameliorated in the probiotics-treated group. The results highlight the potential use of probiotics as a neuroprotective intervention in AD.

Graphical Abstract

1. Introduction

Alzheimer’s disease (AD) is a chronic, progressive neurodegenerative disease that affects brain functions, including memory and cognition. The core pathophysiology of AD has been postulated as the intraneuronal aggregation of hyperphosphorylated tau, a microtubule-associated protein, which leads to the formation of neurofibrillary tangles, and the interstitial aggregation of insoluble forms of the amyloid-β (Aβ) peptide, which results in neuritic plaques [1]. Less than 1% of cases are characterized by the familial type of AD, which is associated with autosomal dominant inheritance, Aβ overexpression, and onset often before the age of 65 years [2]. In the sporadic form of AD, both genetic and environmental risk factors play a role. Plaque formation in the brain has toxic effects on neurons and occurs due to the overproduction or decreased clearance of Aβ [3]. Additionally, substantial evidence suggests that neuroinflammation plays a key role in the pathophysiology of AD. Specifically, the accumulation of activated microglia around damaged areas is a hallmark of neuroinflammation in AD. Moreover, microglia can be activated by pathogens and improperly deposited proteins such as Aβ in AD [4].
The brain interacts with the gut either through the nervous system or through chemical substances that cross the blood–brain barrier (BBB). The gut microbiota (GM) produces amino acids and monoamines that, through the lymphatic and vascular systems, reach the central nervous system (CNS) where they can affect its activity [5]. Additionally, aging causes substantial changes in the content and function of the gut–brain axis (GBA), which can have an impact on health and age-related disorders [6]. Emerging evidence suggests the GBA’s role in neurodegenerative disease progression through diverse pathways [7]. Bacterial metabolites contribute to immune and metabolic changes, potentially increasing intestinal and blood–brain barrier permeability, modulating inflammatory responses, and influencing microglial maturation, which is crucial for CNS homeostasis and regulating inflammation. Notably, research has identified a correlation between gut dysbiosis and the aggregation of Aβ, the formation of tau proteins, and the onset of neuroinflammation and oxidative stress, all of which are implicated in AD [8].
Recent studies indicate that the consumption of specific probiotics can ameliorate a range of diseases, including sepsis, cancer, and neurodegeneration, via antioxidant and anti-inflammatory pathways [9]. Clinical studies have provided strong evidence supporting potential interventions of probiotics for neurodegenerative diseases. Of these strains, lactic acid bacteria (LAB), such as Lactobacillus and Bifidobacterium, are the most widely utilized probiotics [10]. According to a preclinical study, probiotics may improve cognitive function in animal models of cognitive impairment [11]. It has been demonstrated that mixed cultures of LAB and Bifidobacterium strains exert a synergistic effect on host health, leading to the enhanced production of short-chain fatty acids and modulation of the immune response [12]. Thus, it is important to investigate the possible therapeutic advantages of probiotics on brain health in degenerative diseases like AD [13].
In this study, we investigated the effect of probiotics on amyloid-induced pathology in an AD model. The 5xFAD mice, containing APP and presenilin mutants, are commonly used as an AD model, constituting approximately 10% of all AD studies that employ an animal model [14]. These mice develop amyloid pathology, with plaques appearing in the brain between 2 to 4 months of age [15]. In contrast, the 3xTG mouse model, which contains APP, presenilin, and tau mutants, exhibits a much slower disease progression and amyloid deposition starting around 6 months. For our study, we used 4-month-old 5xFAD mice and investigated the effect on tau, Aβ, and microglial activity.

2. Materials and Methods

2.1. Animals

Four-month-old 5XFAD (APP K670N/M671L [Swedish], APP I716V [Florida], APP V717I [London], PSEN1 M146L, and PSEN1 L286V; Jackson Laboratory, Bar Harbor, ME, USA) mice and wild-type (WT) littermates were housed under a regular 12 h light/12 h dark cycle at room temperature (20–25 °C) and supplied with food and water [16]. For the experiment, each mouse (WT: male n = 7, female n = 8; 5xFAD: male n = 16, female n = 16) was placed into an individual cage. All protocols for the animal experiments were approved by the Institutional Animal Care and Use Committee of Chonnam National University (CNU IACUC-YB-2022-154; CNU IACUC-YB-2023-156) [17].

2.2. Probiotics and Phosphatidylserine Supplementation

The mice were divided into four groups: 5xFAD, 5xFAD/Probiotics, 5xFAD/Phosphatidylserine (PS), and WT. Starting from 4 months of age, the probiotics group was supplemented daily with 8 × 107 CFU of probiotics (Bifidobacterium lactis KL101, Limosilactobacillus fermentum KL271, and Levilactobacillus brevis KL251; Kolab, Inc., Gwangju, Republic of Korea) in 8 mL sterilized water for 3 months. The probiotics were prepared as described with minor modifications [9]. The bacterial cultures were stored at 4 °C and used in their live state. PS significantly improved cognitive function when administered to AD patients [18]. Several studies confirmed the efficacy of PS in AD patients and an animal model [19,20,21]. In the rodent model, the effective dose was 15–30 mg/kg and we used 21mg/kg daily in this study. The PS group, as a positive control, was fed freeze-dried food containing PS for 3 months.

2.3. Open Field Test

After 2 months of probiotics supplementation, the mice were subjected to behavior tests. Locomotor activity was measured in an open-field test as described [22]. Each mouse was placed in the center of the arena (40 × 40 × 40 cm) and allowed to freely explore for 5 min for prehabituation. In the main test, the movement of each mouse was recorded for 20 min and analyzed using ANY-maze software ver. 6.32 (Stoelting, Wood Dale, IL, USA).

2.4. Cross Maze

Each mouse was placed in a cross-shaped maze with four arms and monitored. The duration of the examination period was 10 min. The rate of spontaneous alternation was determined using the following formula: actual alternation/(possible alternation [total number of arm entries] − 3) × 100 (%) [17].

2.5. Morris Water Maze

The Morris water maze (MWM) test utilized a circular, open pool, which was filled with opaque water, with a diameter of 114 cm [23]. The water became opaque using non-toxic paint and the temperature was maintained at ~24 °C. A hidden platform (17 × 10.5 cm) was strategically positioned in the target quadrant below the water surface [24]. The mice were then subjected to the acquisition and probe phases. In the acquisition phase, each mouse underwent training, which involved four trials per day for 4 days [25]. During each trial, the mice were given a 60 s time limit to swim, and the trial concluded as soon as they reached the platform. Following the completion of each trial, the mice were allowed to remain on the platform for 20 s. After finishing the 4-day acquisition phase, a probe test was performed without the platform, lasting for 90 s. The movement of each mouse was then recorded, and time spent in the designated target quadrant and the latency to reach the platform were analyzed using ANY-maze software.

2.6. Immunohistochemistry

The animals were euthanized after a 3-month period of receiving treatments. Subsequently, their brains were extracted, fixed in a 4% paraformaldehyde solution, and then soaked in phosphate-buffered saline (PBS) with 30% sucrose overnight. The brain tissues were then embedded in optimum cutting temperature (OCT) freezing media, sliced (30 μm thickness), and mounted on glass slides. Brain sections were permeabilized using 0.15% Triton X-100 in PBS (PBST) for 30 min and then washed with PBS. The sections were then incubated with 3% bovine serum albumin (BSA) and 3% goat serum in PBS with 0.1% Triton X-100 for 30 min. The primary antibodies, mouse anti-Aβ (6E10, 1:3000; BioLegend, San Diego, CA, USA) and rabbit anti-IBA-1 (1:3000; Wako, Richmond, VA, USA), were applied to the samples for 3 days at 4 °C. The sections were then washed with PBS and incubated with the secondary antibodies, Alexa Fluor 568 anti-mouse IgG or Alexa Fluor 488 goat anti-rabbit IgG (1:2000; Invitrogen, Waltham, MA, USA), overnight at 4 °C.

2.7. Quantification and Image Analysis

Fluorescence images were captured utilizing the EVOS M7000 (Invitrogen, Waltham, MA, USA) microscope. Subsequent quantification and analyses were carried out utilizing ImageJ software ver. 1.53q developed by the National Institutes of Health (NIH, https://imagej.net/ij/). The immunoreactivity of Aβ was calculated as the percent area of immunoreactive cells per slide (%). Regarding the microglia, the relative immunoreactivity was determined based on the stained slides. Images were taken using a Leica Stellaris 5 (Leica, Deerfield, IL, USA) confocal microscope to analyze microglial branches z-stacked at 1.5 µm intervals and compressed to about 15 images.

2.8. Microglia Morphology Analysis

A ramified cell is one that exhibits a complex network of processes originating from the cell body. Changes in microglia ramification indicate a microglial response to altered physiological conditions. ImageJ software (NIH) was consistently employed to process all photomicrographs, converting them into binary and skeletonized images. To analyze the microglial branches, we measured processes from a total of 10–20 microglia for each location in one mouse and summarized the number of branches and the total process length using ImageJ software. In addition to generating skeletonized images, we manually counted the cell bodies in each photomicrograph [26].

2.9. Protein Preparation

The brain cortex was collected in radioimmunoprecipitation assay (RIPA) lysis buffer composed of 25 mM Tris-HCl (pH 7.6), 0.01% Nonidet P-40, 150 mM NaCl, 1% sodium deoxycholate, 0.1% sodium dodecyl sulfate (SDS), 100 mM phenylmethylsulfonyl fluoride (PMSF), and protease inhibitors. These lysates were mechanically homogenized using a 26-gauge needle with 10 repetitions. Subsequently, the samples were centrifuged at 16,100 cfg for 30 min at 4 °C. RIPA lysis buffer was utilized in a volume of 200 µL for small tissue samples and 500 µL for larger tissues, such as the cortex. The protein concentration in the lysates was determined using the bicinchoninic acid (BCA) assay.

2.10. Western Blot

Lysates containing 35 µg of protein were separated on a 10% acrylamide gel through SDS-polyacrylamide gel electrophoresis (PAGE). The separated proteins were subsequently transferred onto polyvinylidene difluoride (PVDF) or nitrocellulose membranes (Amersham, Little Chalfont, UK). To prevent non-specific binding, the membranes were blocked using a blocking buffer composed of 5% skim milk in Tris-buffered saline (TBS) containing 0.1% Tween 20 (TBST) buffer for 30 min at room temperature. Following the blocking step, the membrane was washed four times with TBST for 5 min each time. Afterward, it was incubated with the primary antibody, mouse anti-PHF-1 (1:3000), in TBST overnight at 4 °C. The next day, the membrane was exposed to the goat anti-mouse HRP-conjugated secondary antibody (ENZO, Farmingdale, NY, USA) in TBST at a dilution of 1:10,000 at room temperature for 2 h. Finally, the immunoreactive bands were selectively detected using the enhanced chemiluminescence (ECL) reaction.

2.11. Statistical Analysis

Behavioral data, images, and Western blot data underwent analysis using a two-way analysis of variance (ANOVA) and one-way ANOVA, followed by post hoc analysis utilizing Tukey’s post hoc test. All presented data are expressed as the mean ± standard error of the mean (SEM). Statistical significance was determined with a threshold of p < 0.05, where values below this threshold were considered statistically significant.

3. Results

3.1. Probiotics Improve Recognition, Memory, and Spatial Memory in 5xFAD Mice

In this study, we investigated the hypothesis that probiotics enhance memory in animal models of AD, as suggested by a preclinical study [11,12]. To test this, we supplied a mixture of probiotic bacteria (Bifidobacterium lactis, Levilactobacillus brevis, and Limosilactobacillus fermentum) and phosphatidylserine (PS) as a positive control or the vehicle for 2 months before the behavior study (Figure 1A). PS improved the pathology and symptoms of AD by inhibiting neuroinflammation, increasing glucose metabolism in the brain, and normalizing N-Methyl-D-aspartate (NMDA) receptor activity [27]. Cognition and memory were evaluated in 5xFAD mice, an AD mouse model, using cross maze, novel object recognition, and MWM tests, while continuing to supply probiotics to the mice. In the cross maze test, the 5xFAD mice treated with probiotics or PS showed a significant improvement in their memory, represented by a higher alternation ratio, compared to that of the untreated 5xFAD mice. However, there was no change in the total arm entry (Figure 1B,C). Similarly, in the novel object recognition test, the 5xFAD mice treated with probiotics or PS exhibited enhanced memory, showing a higher preference index compared to that of the untreated 5xFAD mice, though the difference was not statistically significant (Supplemental Figure S1). Furthermore, in the MWM test to assess hippocampus-dependent spatial learning and memory, a notable increase in the memory (represented by decreased time spent in the target quadrant) was observed in the 5xFAD mice treated with probiotics or PS in the probe test as compared to that of the vehicle-treated 5xFAD mice (Figure 1D–G). These findings strongly suggest that probiotics can have a protective effect on the loss of spatial and recognition memories in the 5xFAD mouse model.

3.2. Probiotics Alleviated Aβ Accumulation in the Hippocampus and Cerebral Cortex of 5xFAD Mice

A recent study found significant variations in the composition of the GM (which regulates the decline in cognitive function) and an increase in Aβ deposition in an AD model [28]. Therefore, we investigated the Aβ-positive area in the hippocampus and cerebral cortex to further evaluate the neuroprotective effects of probiotics. In the tissue staining, a significant decrease in the Aβ (6E10)-positive area was seen in 5xFAD mice that were treated with either probiotics or PS compared to that of the untreated 5xFAD mice (Figure 2). These findings provide compelling evidence of the neuroprotective effects of probiotics, especially in the hippocampus and cerebral cortex, thus highlighting their potential use as a treatment for AD.

3.3. Probiotics Reduced Microglial Activation in the Hippocampus and Cerebral Cortex in 5xFAD Mice

Microglial activation is a prominent feature of AD [29] and the impact of the host GM on microglia homeostasis has been suggested [30]. We investigated the effects of probiotics on microglia by evaluating the intensity of the activated microglia in the hippocampus and cerebral cortex in 5xFAD mice. As a result, increased immunoreactivity and activated microglia were observed in the brains of 5xFAD mice (Figure 3). However, 5xFAD mice treated with either probiotics or PS showed a significant reduction in both the number and activity of microglia as compared to that of the vehicle-treated 5xFAD mice (Figure 3). These findings provide compelling evidence for the role probiotics play in alleviating microglial activation in the AD model.

3.4. Probiotics Suppressed Microglial Activation in 5xFAD Mice

We further analyzed the detailed morphological modification of microglial activation using the microglial skeleton analysis method. Our results indicate that the number of branches and the total process length of the microglia were reduced in the hippocampus and cerebral cortex (Figure 4 and Figure S2) of 5xFAD mice. However, the administration of probiotics and PS attenuated these changes in 5xFAD mice (Figure 4). Taken together, these findings imply that the use of probiotics may efficiently suppress microglial activation in the AD mouse model.

3.5. Probiotics Reduce Phosphorylated Tau in the Cerebral Cortex in 5xFAD Mice

Tau hyperphosphorylation is another distinct pathological feature in the brains of AD patients. Accumulating evidence suggests microglia play a role in the tau level and distribution in AD [31,32]. Recent studies have reported that microglial activation is an important factor that accelerates the aggregation and propagation of tau [32,33]. In this study, we observed the tau phosphorylation level using a phosphorylated tau-specific antibody. In the Western blotting assay, tau phosphorylation was elevated in 5xFAD mice, as compared to that of the WT mice (Figure 5 and Figure S3). However, it was significantly reduced in the 5xFAD group treated with probiotics, which was comparable with the effect of PS treatment (Figure 5). These findings strongly support the idea that probiotics have a beneficial effect in reducing tau phosphorylation in the brain of an AD mouse model.
Altogether, our data suggest that oral uptake of probiotics alleviated Aβ or tau pathology and memory loss in an AD model, which might be mediated by the attenuation of microglial activation.

4. Discussion

Currently, the existing treatments for AD are primarily focused on symptom management rather than halting or preventing the progression of the disorder. However, therapeutic approaches directly targeting Aβ or tau have had limited application up until now. Recently, significant research efforts have been focused on GM and GBA as alternative mechanisms to regulate AD. This approach showed a potential for the development of novel therapeutic interventions for AD [34]. Specifically, oral bacteriotherapy, which involves orally administering beneficial bacteria, is gaining recognition as a viable strategy for preventing and treating various disorders, including those related to the CNS [11,35,36], given that probiotics may enhance recognition and spatial memories in animal models of cognitive impairment. Therefore, we hypothesized that probiotics may have a therapeutic effect on 5xFAD mice. In our various behavioral tests, we found that probiotics improved recognition and spatial memories in 5xFAD mice.
In the previous report, oral supplementation with Bifidobacterium breve had a protective effect against memory impairment in an AD model [37]. The probiotics (Bifidobacterium lactis, Levilactobacillus brevis, and Limosilactobacillus fermentum) also improved LPS-induced cognitive impairment and memory loss in mice [9]. In this study, we used the same combination of live probiotic bacteria strains to investigate their therapeutic effects on AD. The probiotics improved the cognitive defects and memory loss and attenuated Aβ accumulation in 5xFAD mice. Additionally, the protective effect of the combined strains on Aβ and memory in this study was more pronounced than that of the single strain used previously. This suggests a beneficial effect of the combined use of probiotics. However, direct comparisons were not possible because the two studies used different AD models. Hence, further investigation comparing a single strain and multiple strains in a model would give direct evidence of the beneficial effect of combining multiple strains.
A recent study utilized WT and APPswe/PS1ΔE9 transgenic mice to investigate the role of dysbiosis in AD using several methods. The investigation results revealed that dysbiosis induced heightened Aβ accumulation, significantly altered GM composition, and caused a decline in cognitive function, suggesting the importance of the GM in preventing Aβ burden in an AD model [38]. Consequently, our findings show that probiotics notably reduced Aβ accumulation and prevented cognitive/memory dysfunction in the AD model. Although Aβ has long been believed as the main pathological cause of AD, it has been consistently demonstrated that the accumulation and deposition of amyloid-β (Aβ) plaques do not exhibit a direct correlation with neuronal loss or cognitive decline [39,40,41]. Moreover, many individuals exhibit a substantial burden of amyloid plaques, as assessed through positron emission tomography (PET) scans, yet remain asymptomatic in terms of memory impairment [42]. On the other hand, the mean prevalence of amyloid positivity was 88% among the patients diagnosed with AD, meaning that significant cases of AD are not Aβ-dependent [43]. These brought up questions about the role of Aβ in AD. Nevertheless, the observed efficacy of recently approved anti-Aβ therapies, such as Lecanemab and Donanemab, in mitigating cognitive decline provides further evidence supporting the pathological involvement of amyloid-β (Aβ) in neurodegenerative processes [44].
Furthermore, inflammation-mediated pathways may trigger neurodegenerative diseases via the GBA. Chronic low-grade inflammation observed in older individuals may influence neuroinflammation by affecting glial cells, which may result in cognitive impairment [45]. In AD, neuroinflammation is driven by microglia [46], which can be modified to several morphological types. The hyperramified microglia are one type of activated microglia, which have an enlarged soma and thickened processes. The hyperramified microglia have been described in post-mortem AD, aged, and stressed human brains [47,48], which is possibly involved in stress-related synaptic modifications. On the other hand, dystrophic microglia are described with beading and fragmentation of the branches of the microglia [49]. Dystrophic microglia, which are observed in close proximity to Aβ deposits in the brains of postmortem AD patients, are hypothesized to represent a senescent phenotype of microglia [49,50]. In this condition, microglia lose their capacity to respond to chronic inflammatory stimuli and to perform their neuroprotective functions [47]. In a previous study, the microglia of 5xFAD mice had shorter processes and fewer branches compared to the microglia of WT mice and we observed similar microglial modifications [51]. In our data, probiotics suppressed the modifications of microglia, which can promote toxic activity and suppress the beneficial effects of microglia, leading to neuroinflammation in 5xFAD mice.
One defining pathological characteristic of the brains of patients with AD is the hyperphosphorylation of tau. In AD, patients’ brains have been shown to exhibit excessive tau phosphorylation. This impedes the normal attachment of tau to microtubules, leading to AD pathology. Recently, it was proposed that probiotic intake may affect tau phosphorylation [52]. In our findings, probiotics inhibited tau hyperphosphorylation. Specifically, probiotics may suppress lipopolysaccharide (LPS)-generating bacteria and LPS-induced inflammation, which stimulates tau phosphorylation [53].
In summary, the current findings support the potential use of probiotics as an innovative therapeutic strategy for treating AD. We demonstrated the protective effect of probiotics in 5xFAD mice through several memory tests. In the cross maze, novel object recognition, and MWM tests, the probiotic treatment attenuated memory impairment in 5xFAD mice. Moreover, the neuroprotective effects of probiotics in AD were supported by a decreased accumulation of Aβ in the hippocampus and cerebral cortex. Microglial activation was also attenuated in these regions and the group that received probiotics showed a reduction in tau phosphorylation. These findings suggest a protective effect of probiotics to reduce Aβ burden, tau pathology, and microglia-mediated inflammation in the AD model. Future studies will comprehensively identify and elucidate the mechanisms of probiotics in the context of AD.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/brainsci14030208/s1, Figure S1: Recognition memory defect was alleviated by probiotics in 5xFAD mice; Figure S2: Skeletonized images of microglia; Figure S3: Additional Western blot used for the quantification of phosphorylated tau (PHF-1) in Figure 5B.

Author Contributions

W.-S.C. conceived and designed the experiments. Y.J.K. and B.-R.M. performed the experiments. Y.J.K. and B.-R.M. analyzed the data. K.Y.C. contributed reagents/materials. Y.J.K., B.-R.M. and W.-S.C. wrote the paper. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the R&BD program of the Korea Innovation Foundation funded by the Ministry of Science and ICT (development of the probiotics for dementia prevention based on oral metagenome, Project Number: 2022-DD-RD-0010, KYC); the KBRI Basic Research Program through the Korea Brain Research Institute, funded by the Ministry of Science and ICT (24-BR-03-05, KYC); a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare, Republic of Korea (HR22C141105, KYC); the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Education (2019R1A2C1004575, WSC); the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2022R1H1A092601, WSC); and a grant of the Korea Dementia Research Project through the Korea Dementia Research Center (KDRC), funded by the Ministry of Health and Welfare and Ministry of Science and ICT, Republic of Korea (grant number: HU23C0199, WSC).

Institutional Review Board Statement

The animal study protocol was approved by the Institutional Animal Care and Use Committee of Chonnam National University (CNU IACUC-YB-2022-154, 19 December 2022; CNU IACUC-YB-2023-156, 30 November 2023).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data are not not publicly available due to the confidentiality issues but are available from the corresponding author on reasonable request.

Conflicts of Interest

The author K.Y.C. is a registered director of Kolab. W.-S.C. was an advisory committee member of Kolab. The probiotics (Bifidobacterium lactis KL101, Limosilactobacillus fermentum KL271, and Levilactobacillus brevis KL251) were produced by Kolab, Inc. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  1. Reitz, C.; Brayne, C.; Mayeux, R. Epidemiology of Alzheimer disease. Nat. Rev. Neurol. 2011, 7, 137–152. [Google Scholar] [CrossRef] [PubMed]
  2. Doifode, T.; Giridharan, V.V.; Generoso, J.S.; Bhatti, G.; Collodel, A.; Schulz, P.E.; Forlenza, O.V.; Barichello, T. The impact of the microbiota-gut-brain axis on Alzheimer’s disease pathophysiology. Pharmacol. Res. 2021, 164, 105314. [Google Scholar] [CrossRef] [PubMed]
  3. de Rijke, T.J.; Doting, M.H.E.; van Hemert, S.; De Deyn, P.P.; van Munster, B.C.; Harmsen, H.J.M.; Sommer, I.E.C. A Systematic Review on the Effects of Different Types of Probiotics in Animal Alzheimer’s Disease Studies. Front. Psychiatry 2022, 13, 879491. [Google Scholar] [CrossRef]
  4. Cai, Y.; Liu, J.; Wang, B.; Sun, M.; Yang, H. Microglia in the Neuroinflammatory Pathogenesis of Alzheimer’s Disease and Related Therapeutic Targets. Front. Immunol. 2022, 13, 856376. [Google Scholar] [CrossRef] [PubMed]
  5. Angelucci, F.; Cechova, K.; Amlerova, J.; Hort, J. Antibiotics, gut microbiota, and Alzheimer’s disease. J. Neuroinflamm. 2019, 16, 108. [Google Scholar] [CrossRef] [PubMed]
  6. Xiang, S.; Ji, J.L.; Li, S.; Cao, X.P.; Xu, W.; Tan, L.; Tan, C.C. Efficacy and Safety of Probiotics for the Treatment of Alzheimer’s Disease, Mild Cognitive Impairment, and Parkinson’s Disease: A Systematic Review and Meta-Analysis. Front. Aging Neurosci. 2022, 14, 730036. [Google Scholar] [CrossRef]
  7. Czarnik, W.; Fularski, P.; Gajewska, A.; Jakubowska, P.; Uszok, Z.; Mlynarska, E.; Rysz, J.; Franczyk, B. The Role of Intestinal Microbiota and Diet as Modulating Factors in the Course of Alzheimer’s and Parkinson’s Diseases. Nutrients 2024, 16, 308. [Google Scholar] [CrossRef] [PubMed]
  8. Dissanayaka, D.M.S.; Jayasena, V.; Rainey-Smith, S.R.; Martins, R.N.; Fernando, W. The Role of Diet and Gut Microbiota in Alzheimer’s Disease. Nutrients 2024, 16, 412. [Google Scholar] [CrossRef]
  9. Lee, S.; Eom, S.; Lee, J.; Pyeon, M.; Kim, K.; Choi, K.Y.; Lee, J.H.; Shin, D.J.; Lee, K.H.; Oh, S.; et al. Probiotics that Ameliorate Cognitive Impairment through Anti-Inflammation and Anti-Oxidation in Mice. Food Sci. Anim. Resour. 2023, 43, 612–624. [Google Scholar] [CrossRef]
  10. Davari, S.; Talaei, S.A.; Alaei, H.; Salami, M. Probiotics treatment improves diabetes-induced impairment of synaptic activity and cognitive function: Behavioral and electrophysiological proofs for microbiome-gut-brain axis. Neuroscience 2013, 240, 287–296. [Google Scholar] [CrossRef]
  11. Agahi, A.; Hamidi, G.A.; Daneshvar, R.; Hamdieh, M.; Soheili, M.; Alinaghipour, A.; Esmaeili Taba, S.M.; Salami, M. Does Severity of Alzheimer’s Disease Contribute to Its Responsiveness to Modifying Gut Microbiota? A Double Blind Clinical Trial. Front. Neurol. 2018, 9, 662. [Google Scholar] [CrossRef]
  12. Webberley, T.S.; Masetti, G.; Bevan, R.J.; Kerry-Smith, J.; Jack, A.A.; Michael, D.R.; Thomas, S.; Glymenaki, M.; Li, J.; McDonald, J.A.K.; et al. The Impact of Probiotic Supplementation on Cognitive, Pathological and Metabolic Markers in a Transgenic Mouse Model of Alzheimer’s Disease. Front. Neurosci. 2022, 16, 843105. [Google Scholar] [CrossRef]
  13. Kim, C.S.; Cha, L.; Sim, M.; Jung, S.; Chun, W.Y.; Baik, H.W.; Shin, D.M. Probiotic Supplementation Improves Cognitive Function and Mood with Changes in Gut Microbiota in Community-Dwelling Older Adults: A Randomized, Double-Blind, Placebo-Controlled, Multicenter Trial. J. Gerontol. A Biol. Sci. Med. Sci. 2021, 76, 32–40. [Google Scholar] [CrossRef]
  14. Forner, S.; Kawauchi, S.; Balderrama-Gutierrez, G.; Kramar, E.A.; Matheos, D.P.; Phan, J.; Javonillo, D.I.; Tran, K.M.; Hingco, E.; da Cunha, C.; et al. Systematic phenotyping and characterization of the 5xFAD mouse model of Alzheimer’s disease. Sci. Data 2021, 8, 270. [Google Scholar] [CrossRef] [PubMed]
  15. Jawhar, S.; Trawicka, A.; Jenneckens, C.; Bayer, T.A.; Wirths, O. Motor deficits, neuron loss, and reduced anxiety coinciding with axonal degeneration and intraneuronal Abeta aggregation in the 5XFAD mouse model of Alzheimer’s disease. Neurobiol. Aging 2012, 33, 196.e29–196.e40. [Google Scholar] [CrossRef] [PubMed]
  16. Ramasamy, V.S.; Samidurai, M.; Park, H.J.; Wang, M.; Park, R.Y.; Yu, S.Y.; Kang, H.K.; Hong, S.; Choi, W.S.; Lee, Y.Y.; et al. Avenanthramide-C Restores Impaired Plasticity and Cognition in Alzheimer’s Disease Model Mice. Mol. Neurobiol. 2020, 57, 315–330. [Google Scholar] [CrossRef] [PubMed]
  17. Jeong, J.; Park, H.J.; Mun, B.R.; Jang, J.K.; Choi, Y.M.; Choi, W.S. JBPOS0101 regulates amyloid beta, tau, and glial cells in an Alzheimer’s disease model. PLoS ONE 2020, 15, e0237153. [Google Scholar] [CrossRef] [PubMed]
  18. Delwaide, P.J.; Gyselynck-Mambourg, A.M.; Hurlet, A.; Ylieff, M. Double-blind randomized controlled study of phosphatidylserine in senile demented patients. Acta Neurol. Scand. 1986, 73, 136–140. [Google Scholar] [CrossRef] [PubMed]
  19. Nair, S.; Traini, M.; Dawes, I.W.; Perrone, G.G. Genome-wide analysis of Saccharomyces cerevisiae identifies cellular processes affecting intracellular aggregation of Alzheimer’s amyloid-beta42: Importance of lipid homeostasis. Mol. Biol. Cell 2014, 25, 2235–2249. [Google Scholar] [CrossRef] [PubMed]
  20. Meng, X.; Wang, M.; Sun, G.; Ye, J.; Zhou, Y.; Dong, X.; Wang, T.; Lu, S.; Sun, X. Attenuation of Aβ25-35-induced parallel autophagic and apoptotic cell death by gypenoside XVII through the estrogen receptor-dependent activation of Nrf2/ARE pathways. Toxicol. Appl. Pharmacol. 2014, 279, 63–75. [Google Scholar] [CrossRef] [PubMed]
  21. Zhang, Y.Y.; Yang, L.Q.; Guo, L.M. Effect of phosphatidylserine on memory in patients and rats with Alzheimer’s disease. Genet. Mol. Res. 2015, 14, 9325–9333. [Google Scholar] [CrossRef]
  22. Choi, W.S.; Kim, H.W.; Tronche, F.; Palmiter, R.D.; Storm, D.R.; Xia, Z. Conditional deletion of Ndufs4 in dopaminergic neurons promotes Parkinson’s disease-like non-motor symptoms without loss of dopamine neurons. Sci. Rep. 2017, 7, 44989. [Google Scholar] [CrossRef] [PubMed]
  23. Griñán-Ferré, C.; Sarroca, S.; Ivanova, A.; Puigoriol-Illamola, D.; Aguado, F.; Camins, A.; Sanfeliu, C.; Pallàs, M. Epigenetic mechanisms underlying cognitive impairment and Alzheimer disease hallmarks in 5XFAD mice. Aging 2016, 8, 664–684. [Google Scholar] [CrossRef]
  24. Ennaceur, A.; Delacour, J. A new one-trial test for neurobiological studies of memory in rats. 1: Behavioral data. Behav. Brain Res. 1988, 31, 47–59. [Google Scholar] [CrossRef] [PubMed]
  25. Ardestani, P.M.; Evans, A.K.; Yi, B.; Nguyen, T.; Coutellier, L.; Shamloo, M. Modulation of neuroinflammation and pathology in the 5XFAD mouse model of Alzheimer’s disease using a biased and selective beta-1 adrenergic receptor partial agonist. Neuropharmacology 2017, 116, 371–386. [Google Scholar] [CrossRef] [PubMed]
  26. Morrison, H.; Young, K.; Qureshi, M.; Rowe, R.K.; Lifshitz, J. Quantitative microglia analyses reveal diverse morphologic responses in the rat cortex after diffuse brain injury. Sci. Rep. 2017, 7, 13211. [Google Scholar] [CrossRef]
  27. Ma, X.; Li, X.; Wang, W.; Zhang, M.; Yang, B.; Miao, Z. Phosphatidylserine, inflammation, and central nervous system diseases. Front. Aging Neurosci. 2022, 14, 975176. [Google Scholar] [CrossRef]
  28. Li, Z.; Zhu, H.; Guo, Y.; Du, X.; Qin, C. Gut microbiota regulate cognitive deficits and amyloid deposition in a model of Alzheimer’s disease. J. Neurochem. 2020, 155, 448–461. [Google Scholar] [CrossRef]
  29. Hansen, D.V.; Hanson, J.E.; Sheng, M. Microglia in Alzheimer’s disease. J. Cell Biol. 2018, 217, 459–472. [Google Scholar] [CrossRef]
  30. Erny, D.; Hrabě de Angelis, A.L.; Jaitin, D.; Wieghofer, P.; Staszewski, O.; David, E.; Keren-Shaul, H.; Mahlakoiv, T.; Jakobshagen, K.; Buch, T.; et al. Host microbiota constantly control maturation and function of microglia in the CNS. Nat. Neurosci. 2015, 18, 965–977. [Google Scholar] [CrossRef]
  31. Ayyubova, G. Dysfunctional microglia and tau pathology in Alzheimer’s disease. Rev. Neurosci. 2023, 34, 443–458. [Google Scholar] [CrossRef]
  32. Wang, C.; Fan, L.; Khawaja, R.R.; Liu, B.; Zhan, L.; Kodama, L.; Chin, M.; Li, Y.; Le, D.; Zhou, Y.; et al. Microglial NF-κB drives tau spreading and toxicity in a mouse model of tauopathy. Nat. Commun. 2022, 13, 1969. [Google Scholar] [CrossRef]
  33. Stancu, I.C.; Cremers, N.; Vanrusselt, H.; Couturier, J.; Vanoosthuyse, A.; Kessels, S.; Lodder, C.; Brône, B.; Huaux, F.; Octave, J.N.; et al. Aggregated Tau activates NLRP3-ASC inflammasome exacerbating exogenously seeded and non-exogenously seeded Tau pathology in vivo. Acta Neuropathol. 2019, 137, 599–617. [Google Scholar] [CrossRef] [PubMed]
  34. Bhattacharjee, S.; Lukiw, W.J. Alzheimer’s disease and the microbiome. Front. Cell. Neurosci. 2013, 7, 153. [Google Scholar] [CrossRef]
  35. Hsiao, E.Y.; McBride, S.W.; Hsien, S.; Sharon, G.; Hyde, E.R.; McCue, T.; Codelli, J.A.; Chow, J.; Reisman, S.E.; Petrosino, J.F.; et al. Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders. Cell 2013, 155, 1451–1463. [Google Scholar] [CrossRef] [PubMed]
  36. Wang, T.; Hu, X.; Liang, S.; Li, W.; Wu, X.; Wang, L.; Jin, F. Lactobacillus fermentum NS9 restores the antibiotic induced physiological and psychological abnormalities in rats. Benef. Microbes 2015, 6, 707–717. [Google Scholar] [CrossRef] [PubMed]
  37. Abdelhamid, M.; Zhou, C.; Ohno, K.; Kuhara, T.; Taslima, F.; Abdullah, M.; Jung, C.G.; Michikawa, M. Probiotic Bifidobacterium breve Prevents Memory Impairment through the Reduction of Both Amyloid-β Production and Microglia Activation in APP Knock-In Mouse. J. Alzheimer’s Dis. 2022, 85, 1555–1571. [Google Scholar] [CrossRef]
  38. Wang, M.; Cao, J.; Gong, C.; Amakye, W.K.; Yao, M.; Ren, J. Exploring the microbiota-Alzheimer’s disease linkage using short-term antibiotic treatment followed by fecal microbiota transplantation. Brain Behav. Immun. 2021, 96, 227–238. [Google Scholar] [CrossRef]
  39. Katzman, R.; Terry, R.; DeTeresa, R.; Brown, T.; Davies, P.; Fuld, P.; Renbing, X.; Peck, A. Clinical, pathological, and neurochemical changes in dementia: A subgroup with preserved mental status and numerous neocortical plaques. Ann. Neurol. 1988, 23, 138–144. [Google Scholar] [CrossRef]
  40. Dickson, D.W.; Crystal, H.A.; Mattiace, L.A.; Masur, D.M.; Blau, A.D.; Davies, P.; Yen, S.H.; Aronson, M.K. Identification of normal and pathological aging in prospectively studied nondemented elderly humans. Neurobiol. Aging 1992, 13, 179–189. [Google Scholar] [CrossRef]
  41. Aizenstein, H.J.; Nebes, R.D.; Saxton, J.A.; Price, J.C.; Mathis, C.A.; Tsopelas, N.D.; Ziolko, S.K.; James, J.A.; Snitz, B.E.; Houck, P.R.; et al. Frequent amyloid deposition without significant cognitive impairment among the elderly. Arch. Neurol. 2008, 65, 1509–1517. [Google Scholar] [CrossRef] [PubMed]
  42. Chetelat, G.; La Joie, R.; Villain, N.; Perrotin, A.; de La Sayette, V.; Eustache, F.; Vandenberghe, R. Amyloid imaging in cognitively normal individuals, at-risk populations and preclinical Alzheimer’s disease. Neuroimage Clin. 2013, 2, 356–365. [Google Scholar] [CrossRef] [PubMed]
  43. Ossenkoppele, R.; Jansen, W.J.; Rabinovici, G.D.; Knol, D.L.; van der Flier, W.M.; van Berckel, B.N.; Scheltens, P.; Visser, P.J.; Amyloid, P.E.T.S.G.; Verfaillie, S.C.; et al. Prevalence of amyloid PET positivity in dementia syndromes: A meta-analysis. JAMA 2015, 313, 1939–1949. [Google Scholar] [CrossRef] [PubMed]
  44. Cummings, J.; Osse, A.M.L.; Cammann, D.; Powell, J.; Chen, J. Anti-Amyloid Monoclonal Antibodies for the Treatment of Alzheimer’s Disease. BioDrugs 2024, 38, 5–22. [Google Scholar] [CrossRef] [PubMed]
  45. Di Benedetto, S.; Müller, L.; Wenger, E.; Düzel, S.; Pawelec, G. Contribution of neuroinflammation and immunity to brain aging and the mitigating effects of physical and cognitive interventions. Neurosci. Biobehav. Rev. 2017, 75, 114–128. [Google Scholar] [CrossRef] [PubMed]
  46. Heppner, F.L.; Ransohoff, R.M.; Becher, B. Immune attack: The role of inflammation in Alzheimer disease. Nat. Rev. Neurosci. 2015, 16, 358–372. [Google Scholar] [CrossRef]
  47. Bachstetter, A.D.; Van Eldik, L.J.; Schmitt, F.A.; Neltner, J.H.; Ighodaro, E.T.; Webster, S.J.; Patel, E.; Abner, E.L.; Kryscio, R.J.; Nelson, P.T. Disease-related microglia heterogeneity in the hippocampus of Alzheimer’s disease, dementia with Lewy bodies, and hippocampal sclerosis of aging. Acta Neuropathol. Commun. 2015, 3, 32. [Google Scholar] [CrossRef]
  48. Smith, K.L.; Kassem, M.S.; Clarke, D.J.; Kuligowski, M.P.; Bedoya-Perez, M.A.; Todd, S.M.; Lagopoulos, J.; Bennett, M.R.; Arnold, J.C. Microglial cell hyper-ramification and neuronal dendritic spine loss in the hippocampus and medial prefrontal cortex in a mouse model of PTSD. Brain Behav. Immun. 2019, 80, 889–899. [Google Scholar] [CrossRef]
  49. Streit, W.J.; Sammons, N.W.; Kuhns, A.J.; Sparks, D.L. Dystrophic microglia in the aging human brain. Glia 2004, 45, 208–212. [Google Scholar] [CrossRef]
  50. Streit, W.J.; Braak, H.; Xue, Q.S.; Bechmann, I. Dystrophic (senescent) rather than activated microglial cells are associated with tau pathology and likely precede neurodegeneration in Alzheimer’s disease. Acta Neuropathol. 2009, 118, 475–485. [Google Scholar] [CrossRef]
  51. Chen, W.; Abud, E.A.; Yeung, S.T.; Lakatos, A.; Nassi, T.; Wang, J.; Blum, D.; Buee, L.; Poon, W.W.; Blurton-Jones, M. Increased tauopathy drives microglia-mediated clearance of beta-amyloid. Acta Neuropathol. Commun. 2016, 4, 63. [Google Scholar] [CrossRef] [PubMed]
  52. Flynn, C.M.; Yuan, Q. Probiotic supplement as a promising strategy in early tau pathology prevention: Focusing on GSK-3beta? Front. Neurosci. 2023, 17, 1159314. [Google Scholar] [CrossRef] [PubMed]
  53. Chen, Y.; Yu, Y. Tau and neuroinflammation in Alzheimer’s disease: Interplay mechanisms and clinical translation. J. Neuroinflamm. 2023, 20, 165. [Google Scholar] [CrossRef] [PubMed]
Brainsci 14 00208 g001
Figure 1. Probiotics alleviated the memory defect in 5xFAD mice. (A) The experimental procedure for the mice is displayed. (B,C) The cross maze and (D–G) Morris water maze were utilized to assess the learning and memory of mice. (B) In the cross maze test, the loss of the alternation rate was attenuated by probiotics, (C) but no changes in the number of total arm entries of the 5xFAD mice were seen. (D–G) Probiotics also diminished the defects in learning and memory in the Morris water maze test. (D) Escape latency during the learning phase. (E) Representative track plot of Day 4. (F) Time spent in each quadrant (seconds) during the probe phase. Treatment, F (3, 35) = 0.4372, p = 0.7278; Quadrant time, F (3, 105) = 16.58, p < 0.0001; Interaction Treatment × Quadrant time, F (9,105) = 5.365, p < 0.0001 was analyzed using two-way ANOVA, post hoc Tukey’s test. (G) Target quadrant time (seconds) in the probe phase. WT: Wild type, n = 13; TG: 5xFAD transgenic mice, n = 9; TG + PB: Probiotic-treated 5xFAD transgenic mice, n = 9; TG + PS: Phosphatidylserine-treated 5xFAD transgenic mice, n = 8. One-way analysis of variance (ANOVA) test; two-way ANOVA test; n.s, not significant; *, p < 0.05; **, p < 0.01; ***, p < 0.001; ****, p < 0.0001.
Figure 1. Probiotics alleviated the memory defect in 5xFAD mice. (A) The experimental procedure for the mice is displayed. (B,C) The cross maze and (D–G) Morris water maze were utilized to assess the learning and memory of mice. (B) In the cross maze test, the loss of the alternation rate was attenuated by probiotics, (C) but no changes in the number of total arm entries of the 5xFAD mice were seen. (D–G) Probiotics also diminished the defects in learning and memory in the Morris water maze test. (D) Escape latency during the learning phase. (E) Representative track plot of Day 4. (F) Time spent in each quadrant (seconds) during the probe phase. Treatment, F (3, 35) = 0.4372, p = 0.7278; Quadrant time, F (3, 105) = 16.58, p < 0.0001; Interaction Treatment × Quadrant time, F (9,105) = 5.365, p < 0.0001 was analyzed using two-way ANOVA, post hoc Tukey’s test. (G) Target quadrant time (seconds) in the probe phase. WT: Wild type, n = 13; TG: 5xFAD transgenic mice, n = 9; TG + PB: Probiotic-treated 5xFAD transgenic mice, n = 9; TG + PS: Phosphatidylserine-treated 5xFAD transgenic mice, n = 8. One-way analysis of variance (ANOVA) test; two-way ANOVA test; n.s, not significant; *, p < 0.05; **, p < 0.01; ***, p < 0.001; ****, p < 0.0001.
Brainsci 14 00208 g001
Brainsci 14 00208 g002
Figure 2. Probiotics decreased amyloid-β (Aβ) accumulation in the hippocampus and cerebral cortex in 5xFAD mice. (A) Representative immunohistochemistry images of the hippocampus and cerebral cortex. Scale bar = 100 μm. (B–E) Probiotics significantly decreased the Aβ level as quantified as the percent area of Aβ staining (6E10 positive) in the dentate gyrus (DG), Cornu Ammonis (CA) 1, CA3, and cortex in 5xFAD mice. Phosphatidylserine showed a similar protective effect. WT: Wild type, n = 6; TG: 5xFAD transgenic mouse, n = 6; TG + PB: Probiotics-treated 5xFAD transgenic mice, n = 6; TG + PS: Phosphatidylserine-treated 5xFAD transgenic mice, n = 5. One-way analysis of variance (ANOVA) test; *, p < 0.05; **, p < 0.01; ***, p < 0.001; ****, p < 0.0001.
Figure 2. Probiotics decreased amyloid-β (Aβ) accumulation in the hippocampus and cerebral cortex in 5xFAD mice. (A) Representative immunohistochemistry images of the hippocampus and cerebral cortex. Scale bar = 100 μm. (B–E) Probiotics significantly decreased the Aβ level as quantified as the percent area of Aβ staining (6E10 positive) in the dentate gyrus (DG), Cornu Ammonis (CA) 1, CA3, and cortex in 5xFAD mice. Phosphatidylserine showed a similar protective effect. WT: Wild type, n = 6; TG: 5xFAD transgenic mouse, n = 6; TG + PB: Probiotics-treated 5xFAD transgenic mice, n = 6; TG + PS: Phosphatidylserine-treated 5xFAD transgenic mice, n = 5. One-way analysis of variance (ANOVA) test; *, p < 0.05; **, p < 0.01; ***, p < 0.001; ****, p < 0.0001.
Brainsci 14 00208 g002
Brainsci 14 00208 g003
Figure 3. Activation of microglia in 5xFAD mice was reduced by probiotics. (A) Representative images of activated microglia (IBA-1) in the hippocampus and cerebral cortex. Scale bar = 100 μm. (B–I) Probiotics reduced the stained area of microglia and the number of microglia in the dentate gyrus (DG), Cornu Ammonis (CA) 1, CA3, and cortex in 5xFAD mice treated with either probiotics or phosphatidylserine, as compared to that of the vehicle-treated 5xFAD mice, and as quantified as the percent area of IBA-1 immunoreactivity. WT: Wild type, n = 6; TG: 5xFAD transgenic mouse, n = 6; TG + PB: Probiotics-treated 5xFAD transgenic mouse, n = 6; TG + PS: Phosphatidylserine-treated 5xFAD transgenic mouse, n = 5. One-way analysis of variance (ANOVA) test; *, p < 0.05; **, p < 0.01; ***, p < 0.001; ****, p < 0.0001.
Figure 3. Activation of microglia in 5xFAD mice was reduced by probiotics. (A) Representative images of activated microglia (IBA-1) in the hippocampus and cerebral cortex. Scale bar = 100 μm. (B–I) Probiotics reduced the stained area of microglia and the number of microglia in the dentate gyrus (DG), Cornu Ammonis (CA) 1, CA3, and cortex in 5xFAD mice treated with either probiotics or phosphatidylserine, as compared to that of the vehicle-treated 5xFAD mice, and as quantified as the percent area of IBA-1 immunoreactivity. WT: Wild type, n = 6; TG: 5xFAD transgenic mouse, n = 6; TG + PB: Probiotics-treated 5xFAD transgenic mouse, n = 6; TG + PS: Phosphatidylserine-treated 5xFAD transgenic mouse, n = 5. One-way analysis of variance (ANOVA) test; *, p < 0.05; **, p < 0.01; ***, p < 0.001; ****, p < 0.0001.
Brainsci 14 00208 g003
Brainsci 14 00208 g004
Figure 4. Probiotics suppressed microglial activation in the dentate gyrus (DG), Cornu Ammonis (CA) 1, and CA3 in the hippocampus and cerebral cortex of 5xFAD mice. (A) Representative images of microglial processes in the DG, CA1, and CA3 in the hippocampus and cerebral cortex. The inset indicates an enlarged area of the upper white dotted frame. Scale bar = 100 μm, inset scale bar = 20 μm. Our results demonstrate that the administration of probiotics and phosphatidylserine to 5xFAD mice resulted in increased numbers of branches and the total process length of microglia, as compared to that of the 5xFAD mice in the (B,C) DG, (D,E) CA1, and (F,G) CA3 in the (H,I) hippocampus and cerebral cortex. WT: Wild type, n = 6; TG: 5xFAD transgenic mouse, n = 6; TG + PB: Probiotics-treated 5xFAD transgenic mouse, n = 6; TG + PS: Phosphatidylserine-treated 5xFAD transgenic mouse, n = 5; One-way analysis of variance (ANOVA) test; *, p < 0.05; **, p < 0.01; ***, p < 0.001.
Figure 4. Probiotics suppressed microglial activation in the dentate gyrus (DG), Cornu Ammonis (CA) 1, and CA3 in the hippocampus and cerebral cortex of 5xFAD mice. (A) Representative images of microglial processes in the DG, CA1, and CA3 in the hippocampus and cerebral cortex. The inset indicates an enlarged area of the upper white dotted frame. Scale bar = 100 μm, inset scale bar = 20 μm. Our results demonstrate that the administration of probiotics and phosphatidylserine to 5xFAD mice resulted in increased numbers of branches and the total process length of microglia, as compared to that of the 5xFAD mice in the (B,C) DG, (D,E) CA1, and (F,G) CA3 in the (H,I) hippocampus and cerebral cortex. WT: Wild type, n = 6; TG: 5xFAD transgenic mouse, n = 6; TG + PB: Probiotics-treated 5xFAD transgenic mouse, n = 6; TG + PS: Phosphatidylserine-treated 5xFAD transgenic mouse, n = 5; One-way analysis of variance (ANOVA) test; *, p < 0.05; **, p < 0.01; ***, p < 0.001.
Brainsci 14 00208 g004
Brainsci 14 00208 g005
Figure 5. Probiotics reduce p-tau (s396, s404; PHF-1) in the cerebral cortex. (A) A representative Western blot of the cerebral cortex revealed that the level of phosphorylated tau (PHF-1) was significantly decreased in the 5xFAD group treated with probiotics when compared to that of the vehicle-treated 5xFAD group. A similar effect was observed in mice subjected to phosphatidylserine. (B) Immunoblot quantification of phosphorylated tau. WT: Wild type, n = 4; TG: 5xFAD transgenic mouse, n = 4; TG + PB: Probiotics-treated 5xFAD transgenic mouse, n = 4; TG + PS: Phosphatidylserine-treated 5xFAD transgenic mouse, n = 4. One-way analysis of variance (ANOVA) test; *, p < 0.05; **, p < 0.01.
Figure 5. Probiotics reduce p-tau (s396, s404; PHF-1) in the cerebral cortex. (A) A representative Western blot of the cerebral cortex revealed that the level of phosphorylated tau (PHF-1) was significantly decreased in the 5xFAD group treated with probiotics when compared to that of the vehicle-treated 5xFAD group. A similar effect was observed in mice subjected to phosphatidylserine. (B) Immunoblot quantification of phosphorylated tau. WT: Wild type, n = 4; TG: 5xFAD transgenic mouse, n = 4; TG + PB: Probiotics-treated 5xFAD transgenic mouse, n = 4; TG + PS: Phosphatidylserine-treated 5xFAD transgenic mouse, n = 4. One-way analysis of variance (ANOVA) test; *, p < 0.05; **, p < 0.01.
Brainsci 14 00208 g005
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Kim, Y.J.; Mun, B.-R.; Choi, K.Y.; Choi, W.-S. Oral Administration of Probiotic Bacteria Alleviates Tau Phosphorylation, Aβ Accumulation, Microglia Activation, and Memory Loss in 5xFAD Mice. Brain Sci. 2024, 14, 208. https://doi.org/10.3390/brainsci14030208

AMA Style

Kim YJ, Mun B-R, Choi KY, Choi W-S. Oral Administration of Probiotic Bacteria Alleviates Tau Phosphorylation, Aβ Accumulation, Microglia Activation, and Memory Loss in 5xFAD Mice. Brain Sciences. 2024; 14(3):208. https://doi.org/10.3390/brainsci14030208

Chicago/Turabian Style

Kim, Yeong Jin, Bo-Ram Mun, Kyu Yeong Choi, and Won-Seok Choi. 2024. "Oral Administration of Probiotic Bacteria Alleviates Tau Phosphorylation, Aβ Accumulation, Microglia Activation, and Memory Loss in 5xFAD Mice" Brain Sciences 14, no. 3: 208. https://doi.org/10.3390/brainsci14030208

APA Style

Kim, Y. J., Mun, B. -R., Choi, K. Y., & Choi, W. -S. (2024). Oral Administration of Probiotic Bacteria Alleviates Tau Phosphorylation, Aβ Accumulation, Microglia Activation, and Memory Loss in 5xFAD Mice. Brain Sciences, 14(3), 208. https://doi.org/10.3390/brainsci14030208

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop