Home › Research › Drug development
Bioinformatics methods in drug repurposing for Alzheimer's disease
John C Siavelis, Marilena M Bourdakou, Emmanouil I Athanasiadis, George M Spyrou, Konstantina S Nikita. Briefings in bioinformatics, 2015-07-21
Topic: Genetics and APOE
Alarming epidemiological features of Alzheimer's disease impose curative treatment rather than symptomatic relief. Drug repurposing, that is reappraisal of a substance's indications against other diseases, offers time, cost and efficiency benefits in drug development, especially when in silico techniques are used. In this study, we have used gene signatures, where up- and down-regulated gene lists summarize a cell's gene expression perturbation from a drug or disease. To cope with the inherent biological and computational noise, we used an integrative approach on five disease-related microarray data sets of hippocampal origin with three different methods of evaluating differential gene expression and four drug repurposing tools. We found a list of 27 potential anti-Alzheimer agents that were additionally processed with regard to molecular similarity, pathway/ontology enrichment and network analysis. Protein kinase C, histone deacetylase, glycogen synthase kinase 3 and arginase inhibitors appear consistently in the resultant drug list and may exert their pharmacologic action in an epidermal growth factor receptor-mediated subpathway of Alzheimer's disease.
Key findings
- We found a list of 27 potential anti-Alzheimer agents that were additionally processed with regard to molecular similarity, pathway/ontology enrichment and network analysis.
New to this subject? Start with our plain-English guide: Treatments →
Study details
- Evidence strengthLow
How this study scored 38/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record, multi-centre collaboration and free to read, so those were left out: it earned 21 of the 56 points we could judge it on, which is 38 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Briefings in bioinformatics) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 1 / 5 | 2016 — within 20 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 26197808) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 21 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 21 of the 56 points we could judge it on is 38 out of 100. |
| Total | 38 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
Free copy unknown: no free-copy check has an answer for this record yet. That does not mean it is paywalled.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
APA 7th
Siavelis, J. C., Bourdakou, M. M., Athanasiadis, E. I., Spyrou, G. M., & Nikita, K. S. (2016). Bioinformatics methods in drug repurposing for Alzheimer's disease. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbv048
Vancouver
Siavelis JC, Bourdakou MM, Athanasiadis EI, Spyrou GM, Nikita KS. Bioinformatics methods in drug repurposing for Alzheimer's disease. Briefings in bioinformatics. 2016. doi:10.1093/bib/bbv048. PMID: 26197808.
BibTeX
@article{siavelis2016-26197808,
author = {Siavelis, John C and Bourdakou, Marilena M and Athanasiadis, Emmanouil I and Spyrou, George M and Nikita, Konstantina S},
title = {{Bioinformatics methods in drug repurposing for Alzheimer's disease}},
journal = {Briefings in bioinformatics},
year = {2016},
doi = {10.1093/bib/bbv048},
pmid = {26197808},
url = {https://doi.org/10.1093/bib/bbv048}
}
Related studies in Drug development
Also tagged “epigenetic”
274 studies in the library carry the topic tag “epigenetic”; these are this study's neighbours in a fixed, alphabetical-by-hash tour of them, not the closest in content. All 274 tagged studies.