Evidence map›Paper›PMID 27752066›Full record

ArticleScientific reports2016

Metallomic Biomarkers in Cerebrospinal fluid and Serum in patients with Parkinson's disease in Indian population.

Jaya Sanyal, Shiek S S J Ahmed, Hon Keung Tony Ng, Tufan Naiya, Epsita Ghosh, Tapas Kumar Banerjee, Jaya Lakshmi, Gautam Guha, Vadlamudi Raghavendra Rao

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
4.0field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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  13. Disease Ionomics: Understanding the Role of Ions in Complex Disease.International journal of molecular sciences · 2020
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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

9 authors at 8 institutions in 2 countries.

Jaya SanyalDepartment of Anthropology, University of Delhi, Delhi 110007, INDIA.
Shiek S S J AhmedDrug Discovery Lab, Faculty of Allied Health Sciences, Chettinad Academy of Research and Education, Tamil Nadu, INDIA.
Hon Keung Tony NgDepartment of Statistical Science, Southern Methodist University, Dallas, TX 75275, USA.
Tufan NaiyaMolecular Systematics Division, Zoological Survey of India, DNA Taxonomy Laboratory, Kolkata, INDIA.
Epsita GhoshDepartment of Neurology, National Neurosciences Centre, Kolkata, INDIA.
Tapas Kumar BanerjeeDepartment of Neurology, National Neurosciences Centre, Kolkata, INDIA.
Jaya LakshmiDept. of Life Sciences, Central University of Tamil Nadu, Thiruvarur, Tamil Nadu, INDIA.
Gautam GuhaDepartment of Neurology, Nil Ratan Sircar Medical College and Hospital, Kolkata, INDIA.
Vadlamudi Raghavendra RaoDepartment of Anthropology, University of Delhi, Delhi 110007, INDIA.
National Neurosciences Centre · INCentral University of Tamil Nadu · INChettinad Academy of Research and Education · INNil Ratan Sircar Medical College and Hospital · INOsmania University · INSouthern Methodist University · USUniversity of Delhi · INZoological Survey of India · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a neurodegenerative disease with the absence of markers for diagnosis. Several studies on PD reported the elements imbalance in biofluids as biomarkers. However, their results remained inconclusive. This study integrates metallomics, multivariate and artificial neural network (ANN) to understand element variations in CSF and serum of PD patients from the largest cohort of Indian population to solve the inconsistent results of previous studies. Also, this study is aimed to (1) ascertain a common element signature between CSF and serum. (2) Assess cross sectional element variation with clinical symptoms. (3) Develop ANN models for rapid diagnosis. A metallomic profile of 110 CSF and 530 serum samples showed significant variations in 10 elements of CSF and six in serum of patients compared to controls. Consistent variations in elements pattern were noticed for Calcium, Magnesium and Iron in both the fluids of PD, which provides feasible diagnosis from serum. Furthermore, implementing multivariate analyses showed clear classification between normal and PD in both the fluids. Also, ANN provides 99% accuracy in detection of disease from CSF and serum. Overall, our analyses demonstrate that elements profile in biofluids of PD will be useful in development of diagnostic markers for PD.

Indexed as

BiomarkersCalciumCross-Sectional StudiesFemaleHumansIndiaIronMagnesiumMaleMiddle AgedMultivariate AnalysisParkinson DiseaseSpectrophotometry, AtomicTrace ElementsBiomarkersCalciumIronMagnesiumTrace Elements

Identifiers

PMID27752066
PMCPMC5067653
OpenAlexW2533858765

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.