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Biomarker investigations related to pathophysiological pathways in schizophrenia and psychosis

Overview of attention for article published in Frontiers in Cellular Neuroscience, January 2013
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Title
Biomarker investigations related to pathophysiological pathways in schizophrenia and psychosis
Published in
Frontiers in Cellular Neuroscience, January 2013
DOI 10.3389/fncel.2013.00095
Pubmed ID
Authors

Gursharan Chana, Chad A. Bousman, Tammie T. Money, Andrew Gibbons, Piers Gillett, Brian Dean, Ian P. Everall

Abstract

Post-mortem brain investigations of schizophrenia have generated swathes of data in the last few decades implicating candidate genes and protein. However, the relation of these findings to peripheral biomarker indicators and symptomatology remain to be elucidated. While biomarkers for disease do not have to be involved with underlying pathophysiology and may be largely indicative of diagnosis or prognosis, the ideal may be a biomarker that is involved in underlying disease processes and which is therefore more likely to change with progression of the illness as well as potentially being more responsive to treatment. One of the main difficulties in conducting biomarker investigations for major psychiatric disorders is the relative inconsistency in clinical diagnoses between disorders such as bipolar and schizophrenia. This has led some researchers to investigate biomarkers associated with core symptoms of these disorders, such as psychosis. The aim of this review is to evaluate the contribution of post-mortem brain investigations to elucidating the pathophysiology pathways involved in schizophrenia and psychosis, with an emphasis on major neurotransmitter systems that have been implicated. This data will then be compared to functional neuroimaging findings as well as findings from blood based gene expression investigations in schizophrenia in order to highlight the relative overlap in pathological processes between these different modalities used to elucidate pathogenesis of schizophrenia. In addition we will cover some recent and exciting findings demonstrating microRNA (miRNA) dysregulation in both the blood and the brain in patients with schizophrenia. These changes are pertinent to the topic due to their known role in post-transcriptional modification of gene expression with the potential to contribute or underlie gene expression changes observed in schizophrenia. Finally, we will discuss how post-mortem studies may aid future biomarker investigations.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
United States 1 1%
Germany 1 1%
Egypt 1 1%
Unknown 81 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 20%
Researcher 14 16%
Student > Master 13 15%
Student > Doctoral Student 5 6%
Student > Bachelor 5 6%
Other 14 16%
Unknown 17 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 21%
Neuroscience 16 19%
Medicine and Dentistry 12 14%
Biochemistry, Genetics and Molecular Biology 7 8%
Psychology 4 5%
Other 5 6%
Unknown 23 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 June 2013.
All research outputs
#17,690,153
of 22,712,476 outputs
Outputs from Frontiers in Cellular Neuroscience
#2,911
of 4,211 outputs
Outputs of similar age
#210,183
of 280,743 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#124
of 203 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,211 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.