System-based approaches to decode the molecular links in Parkinson's disease and diabetes

@article{Santiago2014SystembasedAT,
  title={System-based approaches to decode the molecular links in Parkinson's disease and diabetes},
  author={Jose A. Santiago and Judith A Potashkin},
  journal={Neurobiology of Disease},
  year={2014},
  volume={72},
  pages={84-91}
}
Convergent Molecular Pathways in Type 2 Diabetes Mellitus and Parkinson's Disease: Insights into Mechanisms and Pathological Consequences.
TLDR
This review summarizes some common shared pathophysiological mechanisms, including insulin resistance, inflammation, mitochondrial dysfunction, endoplasmic reticulum stress, autophagy, and the ubiquitin-proteasome system (UPS) that independently mediate the onset and etiopathogenesis of T2DM and PD.
Dissecting the Molecular Mechanisms of Neurodegenerative Diseases through Network Biology
TLDR
This review article discusses how integrative approaches using multi-omics data from different tissues have been valuable for identifying biomarkers and therapeutic targets and the challenges the field of network medicine faces toward the translation of network-based findings into clinically actionable tools for personalized medicine applications.
Insulin resistance and Parkinson’s disease: A new target for disease modification?
Network Analysis Identifies SOD2 mRNA as a Potential Biomarker for Parkinson's Disease
TLDR
Quantitative polymerase chain reaction assays revealed that a highly ranked gene, superoxide dismutase 2 (SOD2), is upregulated in PD patients compared to healthy controls in 192 whole blood samples from two independent clinical trials.
Transcriptomic and Network Analysis Highlight the Association of Diabetes at Different Stages of Alzheimer’s Disease
TLDR
T2D may be implicated at different stages of AD through different molecular pathways disrupted during the preclinical phase of AD and more advanced stages of the disease, according to shared and unique pathways and potential therapeutic targets.
Network-based metaanalysis identifies HNF4A and PTBP1 as longitudinally dynamic biomarkers for Parkinson’s disease
TLDR
The inverse regulation of HNF4A and PTBP1 provides a molecular rationale for the altered insulin signaling observed in PD patients and may enable novel therapeutic strategies, and may be useful for monitoring disease-modifying therapies for PD.
Integrative transcriptomic meta-analysis of Parkinson’s disease and depression identifies NAMPT as a potential blood biomarker for de novo Parkinson’s disease
TLDR
It is demonstrated that shared molecular networks between Parkinson’s disease and depression provide an additional source of biologically relevant biomarkers.
Biological and Clinical Implications of Comorbidities in Parkinson’s Disease
TLDR
The biological and clinical implications of comorbidities in the pathogenesis, progression, and clinical management of Parkinson’s disease are discussed, with an emphasis on personalized medicine applications for PD.
Analysis of the Relationship between Type II Diabetes Mellitus and Parkinson's Disease: A Systematic Review
TLDR
The available evidence on the interaction between T2DM and PD justifies more robust clinical trials exploring this interaction especially the clinical management of patients with both conditions.
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Parkinson's disease, insulin resistance and novel agents of neuroprotection.
Multiple avenues of research including epidemiology, molecular genetics and cell biology have identified links between Parkinson's disease and type 2 diabetes mellitus. Several recent discoveries
Molecular links between Alzheimer’s disease and diabetes mellitus
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A genome-wide meta-analysis of gene sets (groups of genes that encode the same biological pathway or process) in 410 samples from patients with symptomatic Parkinson’s and subclinical disease and healthy controls identified 10 gene sets that were all associated with PD.
Integrative Network Analysis Unveils Convergent Molecular Pathways in Parkinson's Disease and Diabetes
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The first evidence that Parkinson's disease and diabetes are strongly linked at the molecular level is provided and that shared molecular networks provide an additional source for identifying highly sensitive biomarkers is suggested.
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This has been an exciting, productive time for PD genetics and it is believed that genetics will continue to drive the etiologic understanding and etiology‐based therapeutic approaches in this disease.
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The relevance of both pathogenic and etiologic models as well as the concept of clinically relevant designs that, it is argued, should be utilized in the preclinical development phase of new neuroprotective therapies before embarking into clinical trials are presented.
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Type 2 diabetes associated functional linkage network (T2DFN) containing 2770 proteins and 15041 linkages revealed that CREB binding protein (CREBBP) and cardiotrophin-1 (CTF1) have suggestive roles in linking Type 2 diabetes and neuromuscular diseases.
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