Evidence map›Paper›PMID 31632033›Full record

ArticleNeuropsychiatric disease and treatment2019

Cerebrospinal Fluid Proteomics For Identification Of α2-Macroglobulin As A Potential Biomarker To Monitor Pharmacological Therapeutic Efficacy In Dopamine Dictated Disease States Of Parkinson's Disease And Schizophrenia.

Ashish Kumar Gupta, Ruchika Pokhriyal, Mohd Imran Khan, Domada Ratna Kumar, Rishab Gupta, Rakesh Kumar Chadda, Rashmi Ramachandran, Vinay Goyal, Manjari Tripathi, Gururao Hariprasad

Open access · goldAbstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Apolipoprotein D as a Potential Biomarker in Neuropsychiatric Disorders.International journal of molecular sciences · 2023
    Review
  3. Review
  4. Potential Candidates for Biomarkers in Bipolar Disorder: A Proteomic Approach through Systems Biology.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022
    Review
  5. Article
  6. Review
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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

10 authors at 1 institution in 1 country.

Ashish Kumar Gupta *Department of Biophysics.
Ruchika Pokhriyal *Department of Biophysics.
Mohd Imran KhanDepartment of Biophysics.
Domada Ratna KumarDepartment of Biophysics.
Rishab GuptaDepartment of Psychiatry.
Rakesh Kumar ChaddaDepartment of Psychiatry.
Rashmi RamachandranDepartment of Anaesthesia.
Vinay GoyalDepartment of Neurology, All India Institute of Medical Sciences, New Delhi 110029, India.
Manjari TripathiDepartment of Neurology, All India Institute of Medical Sciences, New Delhi 110029, India.
Gururao HariprasadDepartment of Biophysics.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimParkinson's disease and schizophrenia are clinical end points of dopaminergic deficit and excess, respectively, in the mid-brain. In accordance, current pharmacological interventions aim to restore normal dopamine levels, the overshooting of which culminates in adverse effects which results in psychotic symptoms in Parkinson's disease and extra-pyramidal symptoms in schizophrenia. Currently, there are no laboratory assays to assist treatment decisions or help foresee these drug side-effect outcomes. Therefore, the aim was to discover a protein biomarker that had a varying linear expression across the clinical dopaminergic spectrum. MATERIALS AND

methodsiTRAQ-based proteomic experiments along with mass spectrometric analysis was used for comparative proteomics using cerebrospinal fluid (CSF). CSF fluid was collected from 36 patients with Parkinson's disease, 15 patients with urological diseases that served as neurological controls, and seven schizophrenic patients with hallucinations. Validation included ELISA and pathway analysis to highlight the varying expression and provide plausible molecular pathways for differentially expressed proteins in the three clinical phenotypes.

resultsProtein profiles were delineated in CSF from Parkinson's disease patients, neurological control and schizophrenia, respectively. Ten of the proteins that were identified had a linear relationship across the dopaminergic spectrum. α-2-Macroglobulin showed to be having high statistical significance on inter-group comparison on validation studies using ELISA.

conclusionsNon-gel-based proteomic experiments are an ideal platform to discover potential biomarkers that can be used to monitor pharmaco-therapeutic efficacy in dopamine-dictated clinical scenarios. α-2 Macroglobulin is a potential biomarker to monitor pharmacological therapy in Parkinson's disease and schizophrenia.

Indexed as

alpha-2-macroglobulinbiomarkersdopamineiTRAQ proteomicsParkinson’s diseaseschizophreniatherapeutic efficacy

Identifiers

PMID31632033
PMCPMC6781638
OpenAlexW2979240016

What OpenQuestion holds

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Registered trials

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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.