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Foresee Novel Targets for Alzheimer's Disease by Investigating Repurposed Drugs
Kritie Agarwal, Deepshikha Pande Katare, Ruchi Jakhmola-Mani. CNS & neurological disorders drug targets, 2023
Topic: Drug trials: efficacy and safety
Plain-language summary
Drugs like Zileuton, Salbutamol, Baricitinib, Carmustine, Paclitaxel, and Nilotinib were observed to be involved in regulation of neurotransmitters. Similarly, Metformin, Liraglutide, UDCA, and Bexarotene are involved in protein kinase cascades which also is one of the prime processes in metabolic disorders like AD. Furthermore, drugs like Rosiglitazone, Pioglitazone, and Lonafarnib are involved in interleukin-3 biosynthetic processes, which is again one of the most important processes studied in AD treatment. The study concluded that the reviewed drugs that follow similar biological and molecular processes could be repurposed for AD if chosen judiciously with current medications and thus, drug repurposing is a promising approach that can be utilized to find a cure for AD within a brief time and fewer resources compared to de novo drug synthesis. Although certain loopholes still need to be worked upon, the technique has great prospects. Furthermore, in silico methods can be utilized to justify the findings and identify the best drug candidate.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Agarwal, K., Katare, D. P., & Jakhmola-Mani, R. (2023). Foresee Novel Targets for Alzheimer's Disease by Investigating Repurposed Drugs. CNS & neurological disorders drug targets. https://doi.org/10.2174/1871527321666220622162622
Vancouver
Agarwal K, Katare DP, Jakhmola-Mani R. Foresee Novel Targets for Alzheimer's Disease by Investigating Repurposed Drugs. CNS & neurological disorders drug targets. 2023. doi:10.2174/1871527321666220622162622. PMID: 35733313.
BibTeX
@article{agarwal2023-35733313,
author = {Agarwal, Kritie and Katare, Deepshikha Pande and Jakhmola-Mani, Ruchi},
title = {{Foresee Novel Targets for Alzheimer's Disease by Investigating Repurposed Drugs}},
journal = {CNS \& neurological disorders drug targets},
year = {2023},
doi = {10.2174/1871527321666220622162622},
pmid = {35733313},
url = {https://doi.org/10.2174/1871527321666220622162622}
}
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.
Key findings
- Drugs like Zileuton, Salbutamol, Baricitinib, Carmustine, Paclitaxel, and Nilotinib were observed to be involved in regulation of neurotransmitters.
- Similarly, Metformin, Liraglutide, UDCA, and Bexarotene are involved in protein kinase cascades which also is one of the prime processes in metabolic disorders like AD.
- Furthermore, drugs like Rosiglitazone, Pioglitazone, and Lonafarnib are involved in interleukin-3 biosynthetic processes, which is again one of the most important processes studied in AD treatment.
- The study concluded that the reviewed drugs that follow similar biological and molecular processes could be repurposed for AD if chosen judiciously with current medications and thus, drug repurposing is a promising approach that can be utilized to find a cure for AD within a brief time and fewer resources compared to de novo drug synthesis.
- Although certain loopholes still need to be worked upon, the technique has great prospects.
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Study details
- Evidence strengthLow
How this study scored 41/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomized / 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, multicenter collaboration and free to read, so those were left out: it earned 23 of the 56 points we could judge it on, which is 41 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (CNS & neurological disorders drug targets) |
| 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 | 3 / 5 | 2023 — within 6 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) |
| Randomized / blinded | 0 / 2 | No randomization 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 |
| Multicenter collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 35733313) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 23 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 23 of the 56 points we could judge it on is 41 out of 100. |
| Total | 41 / 100 | — |
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