Evidence map›Paper›PMID 34909657›Full record

ReviewCurrent research in pharmacology and drug discovery2021

Gauging the role and impact of drug interactions and repurposing in neurodegenerative disorders.

Dharmendra Kumar Khatri, Amey Kadbhane, Monica Patel, Shweta Nene, Srividya Atmakuri, Saurabh Srivastava, Shashi Bala Singh

Open access · goldAbstract readReview
In one paragraph

Review in Current research in pharmacology and drug discovery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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  12. Pharmacological interactions: Synergism, or not synergism, that is the question.Current research in pharmacology and drug discovery · 2021
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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

7 authors at 1 institution in 1 country.

Dharmendra Kumar KhatriNational Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, 500037, India.
Amey KadbhaneNational Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, 500037, India.
Monica PatelNational Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, 500037, India.
Shweta NeneNational Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, 500037, India.
Srividya AtmakuriNational Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, 500037, India.
Saurabh SrivastavaNational Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, 500037, India.
Shashi Bala SinghNational Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, 500037, India.
National Institute of Pharmaceutical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative diseases (ND) are of vast origin which are characterized by gradual progressive loss of neurons in the brain region. ND can be classified according to the clinical symptoms present (e.g. Cognitive decline, hyperkinetic, and hypokinetic movements disorder) or by the pathological protein deposited (e.g., Amyloid, tau, Alpha-synuclein, TDP-43). Alzheimer's disease preceded by Parkinson's is the most prevalent form of ND world-wide. Multiple factors like aging, genetic mutations, environmental factors, gut microbiota, blood-brain barrier microvascular complication, etc. may increase the predisposition towards ND. Genetic mutation is a major contributor in increasing the susceptibility towards ND, the concept of one disease-one gene is obsolete and now multiple genes are considered to be involved in causing one particular disease. Also, the involvement of multiple pathological mechanisms like oxidative stress, neuroinflammation, mitochondrial dysfunction, etc. contributes to the complexity and makes them difficult to be treated by traditional mono-targeted ligands. In this aspect, the Poly-pharmacological drug approach which targets multiple pathological pathways at the same time provides the best way to treat such complex networked CNS diseases. In this review, we have provided an overview of ND and their pathological origin, along with a brief description of various genes associated with multiple diseases like Alzheimer's, Parkinson's, Multiple sclerosis (MS), Amyotrophic Lateral Sclerosis (ALS), Huntington's and a comprehensive detail about the Poly-pharmacology approach (MTDLs and Fixed-dose combinations) along with their merits over the traditional single-targeted drug is provided. This review also provides insights into current repurposing strategies along with its regulatory considerations.

Indexed as

Alzheimer’s diseaseDrug repurposingGene therapyNeurodegenerative diseasesParkinson’s disease

Identifiers

PMID34909657
PMCPMC8663985
OpenAlexW3156742871

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.