Evidence map›Paper›PMID 33923609›Full record

ReviewInternational journal of molecular sciences2021

The Diagnostic Potential of Amyloidogenic Proteins.

Yiyun Jin, Devkee Mahesh Vadukul, Dimitra Gialama, Ying Ge, Rebecca Thrush, Joe Thomas White, Francesco Antonio Aprile

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. 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

7 authors.

Yiyun JinDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, UK.
Devkee Mahesh VadukulDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, UK.
Dimitra GialamaDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, UK.
Ying GeDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, UK.
Rebecca ThrushDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, UK.
Joe Thomas WhiteDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, UK.
Francesco Antonio AprileDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, UK.ORCID 0000-0002-5040-4420

Funding

Alzheimer's Research UK ARUK-PG2019B-020Alzheimer's Society 511Medical Research Council MR/S033947/1UK Research and Innovation UKRI Future Leaders Fellowship MR/S033947/1
6 · The paper itself

Abstract

Neurodegenerative disorders are a highly prevalent class of diseases, whose pathological mechanisms start before the appearance of any clear symptoms. This fact has prompted scientists to search for biomarkers that could aid early treatment. These currently incurable pathologies share the presence of aberrant aggregates called amyloids in the nervous system, which are composed of specific proteins. In this review, we discuss how these proteins, their conformations and modifications could be exploited as biomarkers for diagnostic purposes. We focus on proteins that are associated with the most prevalent neurodegenerative disorders, including Alzheimer's and Parkinson's diseases, amyotrophic lateral sclerosis, and frontotemporal dementia. We also describe current challenges in detection, the most recent techniques with diagnostic potentials and possible future developments in diagnosis.

Indexed as

AmyloidAnimalsBiomarkersHumansNeurodegenerative DiseasesProtein Aggregation, PathologicalAmyloidBiomarkersamyloidbiomarkerneurodegenerative diseasesoligomerpost-translational modification

Identifiers

PMID33923609
PMCPMC8074075

What OpenQuestion holds

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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.