Evidence map›Paper›PMID 34951390›Full record

ReviewCurrent neuropharmacology2022

Potential Roles of α-amylase in Alzheimer's Disease: Biomarker and Drug Target.

Win Ning Chen, Kim San Tang, Keng Yoon Yeong

Open access · greenAbstract readReview
In one paragraph

Review in Current neuropharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Journal of Taibah University Medical Sciences · 2025
    Article
  2. Phytochemical constituents analysis inCommunicative & integrative biology · 2024
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Win Ning ChenSchool of Science, Monash University Malaysia, 47500 Bandar Sunway, Selangor, Malaysia.
Kim San TangSchool of Pharmacy, Monash University Malaysia, 47500 Bandar Sunway, Selangor, Malaysia.
Keng Yoon YeongSchool of Science, Monash University Malaysia, 47500 Bandar Sunway, Selangor, Malaysia.
Monash University Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD), the most common form of dementia, is pathologically characterized by the deposition of amyloid-β plaques and the formation of neurofibrillary tangles. In a neurodegenerative brain, glucose metabolism is also impaired and considered as one of the key features in AD patients. The impairment causes a reduction in glucose transporters and the uptake of glucose as well as alterations in the specific activity of glycolytic enzymes. Recently, it has been reported that α-amylase, a polysaccharide-degrading enzyme, is present in the human brain. The enzyme is known to be associated with various diseases such as type 2 diabetes mellitus and hyperamylasaemia. With this information at hand, we hypothesize that α-amylase could have a vital role in the demented brains of AD patients. This review aims to shed insight into the possible link between the expression levels of α-amylase and AD. Lastly, we also cover the diverse role of amylase inhibitors and how they could serve as a therapeutic agent to manage or stop AD progression.

Indexed as

Alzheimer DiseaseDiabetes Mellitus, Type 2alpha-AmylasesAmyloid beta-PeptidesBiomarkersBrainGlucoseHumansPlaque, Amyloidalpha-AmylasesAmyloid beta-PeptidesBiomarkersGlucosealpha-amylaseAlzheimer’s diseaseamyloid-betabiomarkerdrug repurposingdrug targetenzyme inhibitorneurological disorders

Identifiers

PMID34951390
PMCPMC9881084
OpenAlexW4200355346

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.