Evidence map›Paper›PMID 36435392›Full record

ReviewNeuroscience and biobehavioral reviews2023

Exosome-based approaches in the management of Alzheimer's disease.

Raghuram Kandimalla, Mohd Saeed, Neetu Tyagi, Ramesh C Gupta, Farrukh Aqil

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Raghuram KandimallaBrown Cancer Center, University of Louisville, Louisville, KY 40202, USA.
Mohd SaeedDepartment of Biology, College of Sciences, University of Hail, PO Box 2240, Hail, Saudi Arabia.
Neetu TyagiDepartment of Physiology, University of Louisville, Louisville, KY 40202, USA.
Ramesh C GuptaBrown Cancer Center, University of Louisville, Louisville, KY 40202, USA; Department of Pharmacology and Toxicology, University of Louisville, Louisville, KY 40202, USA.
Farrukh AqilBrown Cancer Center, University of Louisville, Louisville, KY 40202, USA; Department of Medicine, University of Louisville, Louisville, KY 40202, USA. Electronic address: farrukh.aqil@louisville.edu.
University of Louisville · USUniversity of Ha'il · SA

Funding

American Heart Association-American Stroke Association 971566
6 · The paper itself

Abstract

Alzheimer's disease (AD) has been the most extensively studied neurological disorders that affects millions of individuals globally and is associated with misfolding of proteins in the brain. Amyloid-β and tau are predominantly involved in the pathogenesis of AD. Therapeutic interventions and nanotechnological advancements are useful only in managing the AD symptoms and the cure for this disease remains elusive. Exosomes, originating from most cell and tissue types are regarded as a double-edged sword, considering their roles in the progression and treatment of AD. Exosomes can be manipulated as drug delivery vehicles for a wide range of therapeutic cargos-both small molecules and macromolecules. Herein, we review the roles of exosomes in the pathology, diagnosis, and treatment of AD and highlight their application as a drug carrier to the brain for AD treatment.

Indexed as

Alzheimer DiseaseExosomesAmyloid beta-PeptidesBrainHumanstau ProteinsAmyloid beta-Peptidestau ProteinsAlzheimer's diseaseBlood brain barrierDrug deliveryExosomeGene therapy

Identifiers

PMID36435392
PMCPMC12087359
OpenAlexW4309860427

What OpenQuestion holds

Textmetadata
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.