Evidence map›Paper›PMID 31114209›Full record

ArticleNeuropsychiatric disease and treatment2019

2D-DIGE as a strategy to identify serum protein biomarkers to monitor pharmacological efficacy in dopamine-dictated states of Parkinson's disease and schizophrenia.

Ashish Kumar Gupta, Gaurav Khunger Kumar, Komal Rani, Ruchika Pokhriyal, Mohd Imran Khan, Domada Ratna Kumar, Vinay Goyal, Manjari Tripathi, Rishab Gupta, Rakesh Kumar Chadda and 3 more

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. DIGE Analysis of Animal Tissues.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  3. DIGE Analysis of Clinical Specimens.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  4. DIGE Analysis of Immunodepleted Plasma.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  5. Review
  6. Article
  7. 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

13 authors at 2 institutions in 1 country.

Ashish Kumar GuptaDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi 110029, India, dr.hariprasadg@gmail.com.
Gaurav Khunger KumarDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi 110029, India, dr.hariprasadg@gmail.com.
Komal RaniDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi 110029, India, dr.hariprasadg@gmail.com.
Ruchika PokhriyalDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi 110029, India, dr.hariprasadg@gmail.com.
Mohd Imran KhanDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi 110029, India, dr.hariprasadg@gmail.com.
Domada Ratna KumarDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi 110029, India, dr.hariprasadg@gmail.com.
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.
Rishab GuptaDepartment of Psychiatry, All India Institute of Medical Sciences, New Delhi 110029, India.
Rakesh Kumar ChaddaDepartment of Psychiatry, All India Institute of Medical Sciences, New Delhi 110029, India.
Perumal VanamailDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi 110029, India.
Ashok Kumar MohantyProteomics Facility, National Diary Research Institute, Karnal, Haryana 132001, India.
Gururao HariprasadDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi 110029, India, dr.hariprasadg@gmail.com.
All India Institute of Medical Sciences · INNational Dairy Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesParkinson's disease and schizophrenia are clinical scenarios that occur due to dopaminergic deficit and hyperactivity in the midbrain, respectively. Current pharmacological interventions for these two diseases therefore aim to restore normal dopamine levels in the midbrain. But during therapy, there is a overshooting of dopamine concentrations that result in hallucinations in Parkinson's disease patients and extra-pyramidal symptoms in schizophrenic patients. This causes a lot of inconvenience to the patents and the clinicians. There are no tests currently available to monitor drug efficacy in these two neuropsychiatric diseases. MATERIALS AND

methodsParkinson's disease and schizophrenic naïve patients were recruited. Serum proteins isolated from these two clinical phenotypes were labeled with fluorescent cyanine dyes and analyzed by two-dimensional difference in gel electrophoresis proteomic experiment. Differentially expressed spots that had consistent expression pattern across five sets of biological replicate gels were trypsin digested and subjected to mass spectrometric analysis for protein identification. Validation experiments were done for the identified proteins using antibody-based assay on a patient cohort that included naïve, treated, and those who had side effects.

resultsSerum α- and β-globin chains were identified as differentially expressed proteins having threefold higher expressions in Parkinson's patients as compared to schizophrenia. Interestingly, concentrations of these two proteins had an inverse correlation across clinical phenotypes in the dopaminergic spectrum. RBC contamination as a source for these proteins was ruled out.

conclusionThere is a clear association of free serum globin with dopaminergic clinical states. This lays a platform for protein biomarker-based monitoring of pharmacological efficacy in Parkinson's disease and schizophrenia.

Indexed as

biomarkersdifference gel electrophoresisdopaminegel-based proteomicsParkinson’s diseasepharmacological efficacyschizophrenia

Identifiers

PMID31114209
PMCPMC6488160
OpenAlexW2940758031

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.