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Record W2983482422 · doi:10.1016/j.trci.2019.09.007

New insight into Alzheimer's disease: Light reverses Aβ‐obstructed interstitial fluid flow and ameliorates memory decline in APP/PS1 mice

2019· article· en· W2983482422 on OpenAlexafffund
Xiangpei Yue, Yufei Mei, Yun Zhang, Dehua Cui, Jun Yang, Aibo Wang, Rui Wang, Xuechao Fei, Li Ai, Yalan Di, Hongjun Luo, Hui Li, Wenhong Luo, Yu Lu, Rui Li, Chunli Duan, Ge Gao, Hui Yang, Binggui Sun, Rongqiao He, Weihong Song, Hongbin Han, Zhiqian Tong

Bibliographic record

VenueAlzheimer s & Dementia Translational Research & Clinical Interventions · 2019
Typearticle
Languageen
FieldMedicine
TopicLaser Applications in Dentistry and Medicine
Canadian institutionsUniversity of British Columbia
FundersNational Key Research and Development Program of ChinaBeijing Institute For Brain DisordersCapital Medical UniversityNational Natural Science Foundation of ChinaBeijing Municipal Commission of EducationMichael Smith Health Research BC
KeywordsMorris water navigation taskGenetically modified mouseIn vivoCognitive declineChemistryBiophysicsExtracellularTransgeneInternal medicineNeuroscienceEndocrinologyMedicineBiologyBiochemistryCognitionDiseaseDementia

Abstract

fetched live from OpenAlex

Abstract Introduction Pharmacological therapies to treat Alzheimer's disease (AD) targeting “Aβ” have failed for over 100 years. Low levels of laser light can disassemble Aβ. In this study, we investigated the mechanisms that Aβ‐blocked extracellular space (ECS) induces memory disorders in APP/PS1 transgenic mice and addressed whether red light (RL) at 630 nm rescues cognitive decline by reducing Aβ‐disturbed flow of interstitial fluid (ISF). Methods We compared the heating effects on the brains of rats illuminated with laser light at 630, 680, and 810 nm for 40 minutes, respectively. Then, a light‐emitting diode with red light at 630 nm (LED‐RL) was selected to illuminate AD mice. The changes in the structure of ECS in the cortex were examined by fluorescent double labeling. The volumes of ECS and flow speed of ISF were quantified by magnetic resonance imaging. Spatial memory behaviors in mice were evaluated by the Morris water maze. Then, the brains were sampled for biochemical analysis. Results RL at 630 nm had the least heating effects than other wavelengths associated with ~49% penetration ratio into the brains. For the molecular mechanisms, Aβ could induce formaldehyde (FA) accumulation by inactivating FA dehydrogenase. Unexpectedly, in turn, FA accelerated Aβ deposition in the ECS. However, LED‐RL treatment not only directly destroyed Aβ assembly in vitro and in vivo but also activated FA dehydrogenase to degrade FA and attenuated FA‐facilitated Aβ aggregation. Subsequently, LED‐RL markedly smashed Aβ deposition in the ECS, recovered the flow of ISF, and rescued cognitive functions in AD mice. Discussion Aβ‐obstructed ISF flow is the direct reason for the failure of the developed medicine delivery from superficial into the deep brain in the treatment of AD. The phototherapy of LED‐RL improves memory by reducing Aβ‐blocked ECS and suggests that it is a promising noninvasive approach to treat AD.

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)0.000
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.129
GPT teacher head0.458
Teacher spread0.329 · 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

Citations78
Published2019
Admission routes2
Has abstractyes

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