Evidence map›Paper›PMID 24833602›Full record

ReviewMolecular neurobiology2015

Aberrant autophagy and parkinsonism: does correction rescue from disease progression?

Abhishek Kumar Mishra, Mohd Sami ur Rasheed, Saurabh Shukla, Manish Kumar Tripathi, Anubhuti Dixit, Mahendra Pratap Singh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular neurobiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.4field-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

21 citing papers in PubMed, 30 citations in OpenAlex.

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  12. Association ofFrontiers in aging neuroscience · 2018
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  20. Regeneration in the nervous system with erythropoietin.Frontiers in bioscience (Landmark edition) · 2016
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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

6 authors at 2 institutions in 1 country.

Abhishek Kumar MishraCSIR-Indian Institute of Toxicology Research, Mahatma Gandhi Marg, Post Box No. 80, Lucknow, 226 001, Uttar Pradesh, India.
Mohd Sami ur Rasheed
Saurabh Shukla
Manish Kumar Tripathi
Anubhuti Dixit
Mahendra Pratap Singh
Academy of Scientific and Innovative Research · INIndian Institute of Toxicology Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information generated from animal models, genome sequencing, and high-throughput technologies provide valuable sequence of events to understand the Parkinson's disease (PD) pathogenesis. A dynamic equilibrium between biosynthesis and biodegradation of sub-cellular components by ubiquitin proteasome system and autophagy is found to be responsible for sustaining the homeostasis of tyrosine hydroxylase-positive neurons. Autophagy degrades and eliminates α-synuclein, Parkin, ubiquitin, etc., proteins along with damaged cellular components to maintain the homeostasis of the nigrostriatal dopaminergic neurons. Aberrant type II apoptosis is widely implicated in dopaminergic neurodegeneration leading to PD. The current article reviews the elementary role of autophagy in the degradation and elimination of superfluous and aggregated proteins and impaired mitochondria. The article also recapitulates the information, which implicated the role of aberrant autophagy in toxin-induced Parkinsonism. Moreover, the review sheds light on whether or not targeting the defective autophagy could reinstate the normal functioning of dopaminergic neurons, which could ultimately rescue from PD pathogenesis.

Indexed as

Disease ProgressionAnimalsAutophagyDisease Models, AnimalDopamineDopaminergic NeuronsHumansParkinson DiseaseDopamine

Identifiers

PMID24833602
OpenAlexW2042794042

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.