MétaCan
Menu
← Back to cohort
Record W3088132775 · doi:10.1113/jp280624

Gut amyloid‐β induces cognitive deficits and Alzheimer's disease‐related histopathology in a mouse model

2020· letter· en· W3088132775 on OpenAlexaff
Ilan Vonderwalde, Emma Finlayson‐Trick

Bibliographic record

VenueThe Journal of Physiology · 2020
Typeletter
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDementiaHistopathologyGastrointestinal tractCentral nervous systemAmyloid (mycology)BiologyNeuropathologyNeurosciencePathologyGut floraGut–brain axisDiseaseMedicineImmunologyBiochemistry

Abstract

fetched live from OpenAlex

Amyloid-beta (Aβ) plaques are a pathological hallmark of Alzheimer's disease (AD), the most common cause of age-related dementia. Plaques are formed by oligomers of aggregated Aβ peptides that have been enzymatically cleaved from amyloid precursor protein (APP). Aβ oligomers can cause local toxicity by disrupting synaptic and neuronal activity. Aβ has been extensively characterized within the central nervous system (CNS), but less is known about its role in the enteric nervous system (ENS). Nevertheless, Aβ deposits have been observed within the gastrointestinal tract (GI) of AD patients (Honarpisheh et al. 2020). Consequently, researchers have hypothesized that AD may originate in the gut before manifesting in the brain. The brain–gut–microbiota axis explains the interplay between the brain and the gut in which the brain regulates the GI through the ENS and the gut microbes influence the brain through the release of biologically active substances, such as vitamins, amino acids, and lipids (Askarova et al. 2020). Despite there being over 100 mouse models to study various aspects of AD clinicopathology, few adequately consider this axis and the role of gut Aβ in AD progression (Jankowsky & Zheng 2017). Consequently, new models are required to support this growing field. In a recent issue of The Journal of Physiology, Sun et al. (2020) used a novel dementia mouse model to study the influence of gut Aβ on CNS histopathology and function. The model consisted of injecting Aβ oligomers (labelled or unlabelled) into the gut serosa of male Institute of Cancer Research mice, a strain widely used for disease modelling studies. Fluorescently labelled oligomers were used to assess the spread of Aβ from the stomach and colon in vivo in the month following surgery. Unlabelled oligomers were used to identify Aβ via immunohistochemistry in various tissues including the CNS, vagus nerve, and the GI one year post-surgery. Mice that received unlabelled oligomers were also involved in behavioural analysis and GI motility studies one year post-surgery. Within hours of oligomer administration into the gut serosa, Aβ was detected via fluorescent signals in the smooth muscle, the submucosa, and the cholinergic neurons of the myenteric plexus. In the following month, the Aβ oligomers spread to other regions within the GI and were found near to neuronal networks, as tracked via in vivo imaging and confirmed via immunohistochemistry. At one year post-injection, Aβ was present in the CNS and within the vagus nerve of Aβ-treated animals. Sun et al. (2020) claim that Aβ was widely distributed throughout the whole brains of Aβ-treated mice; however, their representative images (found in Figure 6) show limited staining for Aβ. Since the total number of visible plaques was not counted, it is difficult to quantitatively and objectively compare the two groups. Future experiments could focus on associating cognitive deficits with brain region-specific plaque thresholds, which would establish a reference value for comparison between studies. If the authors were to add multiple time points beyond one year, this would also allow them to investigate whether the total number of plaques increases with time or if the number remains stagnant. The authors suggested two possible hypotheses to describe the transport of Aβ from the gut to the CNS: retrograde Aβ oligomer migration via the vagus nerve or immune-mediated transport of Aβ oligomers via blood monocytes. To study these different hypotheses, future experiments could involve severing the vagus nerve to examine whether transport is blocked or screening blood for Aβ oligomers using techniques such as the detection system proposed by An et al. (2017). Furthermore, future studies should attempt to differentiate whether Aβ oligomers themselves are transported or whether Aβ oligomers are catalysing the propagation of APP cleavage events from the gut to the CNS as these two different routes may require different therapeutic approaches. Regardless, the results from this study suggest that enteric Aβ may indeed lead to Aβ deposition in the CNS, a classic feature of AD. In addition to the histopathological manifestations, AD is behaviourally characterized by progressive memory impairment. When compared with vehicle-treated animals, mice that received enteric Aβ-injections had poorer performance on the novel object recognition task and the spontaneous Y-maze test at one year post-injection. These results indicate that mice receiving Aβ oligomers had poorer long- and short-term spatial memories, respectively. The use of multiple tests provides strong evidence for the observed findings; however, due to the experimental design the results fail to provide insight into the rate and severity of cognitive decline induced by the presence of enteric Aβ. As such, a future study could involve comparing a baseline functional measurement taken prior to surgery with multiple behavioural test time points post-surgery. Interestingly, there were no differences between the two groups in the Morris Water Maze (MWM), which assesses spatial learning and flexibility within long-term memory. In their discussion, the authors suggest that deficits in the MWM may depend on hippocampal neurodegeneration, which was not seen in their study. However, the authors noted plaques in the hippocampus of Aβ-injected mice. This begs the question of whether the presence of plaques alone results in functional deficits or if neurodegeneration is required. According to their data, their results suggest that the presence of plaques in the hippocampus at this time point do not contribute to spatial learning and flexibility deficits. Consequently, it would be interesting to extend the study beyond one year in order to investigate whether differences between the way the two groups perform in the MWM appear, as the plaques may be a starting point for hippocampal degeneration. Finally, Sun et al. (2020) evaluated the effect of Aβ on GI motility as previous research observed that the effects of Aβ on ENS function were minimal (Chalazonitis & Rao, 2018). Specifically, Sun et al. (2020) focused on GI contractility to measure nerve network-mediated motor responsiveness and function. They observed that GI motility was still driven by neuromuscular coupling following surgery and injection, as indicated by tetrodotoxin inhibition in both groups. Furthermore, Sun et al. (2020) found that Aβ had little effect on GI function, as there was only a slight difference in spontaneous contractile response rate and the amplitude of electrical field stimulation-induced contractions in the jejunum, while there was no difference found in any of the other GI segments tested between the group receiving Aβ injections and vehicle controls throughout the GI tract. It is peculiar that the authors chose to include the idea that Aβ perturbs GI function in their manuscript title, when this doesn't significantly appear to be the case. Despite utilizing a model that emphasizes the gut, Sun et al. (2020) do not assess or even suggest a role for gut microbes in AD progression. As previously mentioned, microbes are an important component of the brain–gut–microbiota axis. Changes to gut microbial composition due to a variety of factors including drugs, diet, and age are known to negatively impact cognitive function. Individuals with AD appear to have taxonomically and functionally different microbial gut compositions than those who are healthy (Askarova et al. 2020). In future experiments, it would be important to consider normalizing the gut microbiomes of experimental mice to ensure that caging effects are not impacting cognitive abilities. Furthermore, future experiments could examine how changing the gut microbiome, maybe through diet or antibiotic use, impacts the production and presence of Aβ and its associated effects. In summary, the work by Sun et al. (2020) contributes to the growing body of evidence that AD may arise in the gut before the brain. Using their own mouse model, the researchers observed that enteric Aβ administration produced cognitive impairment and AD-like histopathologies in brain tissue. The results from this study are clinically significant as they suggest that the future of AD management may involve preventing or delaying the transport of Aβ from the gut to the CNS. Furthermore, the future of AD diagnosis may involve early detection in the gut. None. I. V.: Conception and design of the work; drafting the work and revising it critically for important intellectual content; final approval of the version to be published; agreement to be accountable for all aspects of the work E. F.-T.: Conception and design of the work; drafting the work and revising it critically for important intellectual content; final approval of the version to be published; agreement to be accountable for all aspects of the work. None.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.306
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Physiology→Same topicAlzheimer's disease research and treatments→French-language works237,207→