Literature DB >> 29857889

Pathways from epigenomics and glycobiology towards novel biomarkers of addiction and its radical cure.

Albert Stuart Reece1, Wei Wang2, Gary Kenneth Hulse3.   

Abstract

The recent demonstration that addiction-relevant neuronal ensembles defined by known master transcription factors and their connectome is networked throughout mesocorticolimbic reward circuits and resonates harmonically at known frequencies implies that single-cell pan-omics techniques can improve our understanding of Substance Use Disorders (SUD's). Application of machine learning algorithms to such data could find diagnostic utility as biomarkers both to define the presence of the disorder and to quantitate its severity and find myriad applications in a developmental pipeline towards therapeutics and cure. Recent epigenomic studies have uncovered a wealth of clinically important data relating to synapse-nucleus signalling, memory storage, lineage-fate determination and cellular control and are contributing greatly to our understanding of all SUD's. Epigenetics interacts extensively with glycobiology. Glycans decorate DNA, RNA and many circulating critical proteins particularly immunoglobulins. Glycosylation is emerging as a major information-laden post-translational protein modification with documented application for biomarker development. The integration of these two emerging cutting-edge technologies provides a powerful and fertile algorithmic-bioinformatic space for the development both of SUD biomarkers and novel cutting edge therapeutics. HYPOTHESES: These lines of evidence provide fertile ground for hypotheses relating to both diagnosis and treatment. They suggest that biomarkers derived from epigenomics complemented by glycobiology may potentially provide a bedside diagnostic tool which could be developed into a clinically useful biomarker to gauge both the presence and the severity of SUD's. Moreover they suggest that modern information-based therapeutics acting on the epigenome, via RNA interference or by DNA antisense oligonucleotides may provide a novel 21st century therapeutic development pipeline towards the radical cure of addictive disorders. Such techniques could be focussed and potentiated by neurotrophic vectors or the application of interfering electric or magnetic fields deep in the medial temporal lobes of the brain.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aging; Biomarker; Epigenomics; Glycobiology; Opioid; Single cell assays

Mesh:

Substances:

Year:  2018        PMID: 29857889     DOI: 10.1016/j.mehy.2018.04.011

Source DB:  PubMed          Journal:  Med Hypotheses        ISSN: 0306-9877            Impact factor:   1.538


  10 in total

1.  Geotemporospatial and causal inference epidemiological analysis of US survey and overview of cannabis, cannabidiol and cannabinoid genotoxicity in relation to congenital anomalies 2001-2015.

Authors:  Albert Stuart Reece; Gary Kenneth Hulse
Journal:  BMC Pediatr       Date:  2022-01-19       Impact factor: 2.125

2.  Broad Spectrum epidemiological contribution of cannabis and other substances to the teratological profile of northern New South Wales: geospatial and causal inference analysis.

Authors:  Albert Stuart Reece; Gary Kenneth Hulse
Journal:  BMC Pharmacol Toxicol       Date:  2020-11-12       Impact factor: 2.483

3.  Contemporary epidemiology of rising atrial septal defect trends across USA 1991-2016: a combined ecological geospatiotemporal and causal inferential study.

Authors:  Albert Stuart Reece; Gary Kenneth Hulse
Journal:  BMC Pediatr       Date:  2020-11-30       Impact factor: 2.125

4.  Cannabinoid and substance relationships of European congenital anomaly patterns: a space-time panel regression and causal inferential study.

Authors:  Albert Stuart Reece; Gary Kenneth Hulse
Journal:  Environ Epigenet       Date:  2022-02-03

5.  Geotemporospatial and causal inferential epidemiological overview and survey of USA cannabis, cannabidiol and cannabinoid genotoxicity expressed in cancer incidence 2003-2017: part 2 - categorical bivariate analysis and attributable fractions.

Authors:  Albert Stuart Reece; Gary Kenneth Hulse
Journal:  Arch Public Health       Date:  2022-03-30

6.  Geotemporospatial and causal inferential epidemiological overview and survey of USA cannabis, cannabidiol and cannabinoid genotoxicity expressed in cancer incidence 2003-2017: part 3 - spatiotemporal, multivariable and causal inferential pathfinding and exploratory analyses of prostate and ovarian cancers.

Authors:  Albert Stuart Reece; Gary Kenneth Hulse
Journal:  Arch Public Health       Date:  2022-03-30

7.  Geotemporospatial and causal inferential epidemiological overview and survey of USA cannabis, cannabidiol and cannabinoid genotoxicity expressed in cancer incidence 2003-2017: part 1 - continuous bivariate analysis.

Authors:  Albert Stuart Reece; Gary Kenneth Hulse
Journal:  Arch Public Health       Date:  2022-03-30

8.  State Trends of Cannabis Liberalization as a Causal Driver of Increasing Testicular Cancer Rates across the USA.

Authors:  Albert Stuart Reece; Gary Kenneth Hulse
Journal:  Int J Environ Res Public Health       Date:  2022-10-05       Impact factor: 4.614

9.  Epidemiological overview of multidimensional chromosomal and genome toxicity of cannabis exposure in congenital anomalies and cancer development.

Authors:  Albert Stuart Reece; Gary Kenneth Hulse
Journal:  Sci Rep       Date:  2021-07-06       Impact factor: 4.379

10.  Canadian Cannabis Consumption and Patterns of Congenital Anomalies: An Ecological Geospatial Analysis.

Authors:  Albert Stuart Reece; Gary Kenneth Hulse
Journal:  J Addict Med       Date:  2020 Sep/Oct       Impact factor: 4.647

  10 in total

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