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False data, positive results in neurobiology: moving beyond the epigenetics of blood and saliva samples in mental disorders

Overview of attention for article published in Journal of Negative Results in BioMedicine, December 2016
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Title
False data, positive results in neurobiology: moving beyond the epigenetics of blood and saliva samples in mental disorders
Published in
Journal of Negative Results in BioMedicine, December 2016
DOI 10.1186/s12952-016-0064-x
Pubmed ID
Authors

A. Cariaga-Martinez, R. Alelú-Paz

Abstract

Many psychiatric diseases are influenced by a set of several genetic and environmental factors that genetics alone cannot explain. Specifically, in schizophrenia and bipolar disorder the absence of consistently replicated genetic effects together with evidence for lasting changes in gene expression after environmental exposures suggest a role of epigenetic mechanisms in its pathophysiological mechanisms. In this field, the presence of positive results could potentially uncover molecular mechanisms of deregulated gene expression in these complex disorders. In this commentary we have reviewed the positive data obtained over the last 5 years from the scientific literature published in PubMed and we have shown that these results are based on peripheral samples (blood, saliva and other fluids) that do not allow us to obtain reliable and/or valid results, under any circumstances. Finally, we highlight the need to employ human brain samples in the epigenetic study of mental disorders.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 19%
Researcher 6 19%
Student > Master 4 13%
Student > Ph. D. Student 3 10%
Lecturer > Senior Lecturer 2 6%
Other 3 10%
Unknown 7 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 19%
Neuroscience 5 16%
Medicine and Dentistry 4 13%
Agricultural and Biological Sciences 3 10%
Nursing and Health Professions 2 6%
Other 5 16%
Unknown 6 19%