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▎The editor of WuXi AppTec's content team is in urgent need of effective new treatments for patients with Alzheimer's disease (AD).
However, the effects of many drugs under investigation in clinical trials are not satisfactory.
A few days ago, the joint team of Massachusetts General Hospital (MGH) and Harvard Medical School (Harvard Medical School) screened the currently available drugs based on artificial intelligence and evaluated their potential as AD therapies.
They found that 15 drugs that have been approved by the FDA have the potential to treat AD, and 5 of them are JAK kinase inhibitors.
The research was published in Nature Communications.
In this research, scientists used machine learning technology to build an artificial intelligence system called Drug Repurposing In Alzheimer's Disease (DRAID).
By using large amounts of data to train the system, it can learn how to find patterns in the data and use it to help researchers make decisions.
The DRIAD system works by measuring the changes in human brain nerve cells after drug treatment.
This method assesses whether the drug-induced changes are related to molecular markers of disease severity.
It can also identify drugs that have protective and damaging effects on brain cells.
After screening 80 FDA-approved drugs, the researchers listed the top 15 potential drug candidates.
Among them, anti-inflammatory drugs for the treatment of rheumatoid arthritis and several drugs for the treatment of blood cancer are among the best.
▲Artificial intelligence found that 15 FDA-approved old drugs have the potential to treat AD (picture source: reference [2]).
Among them, anti-inflammatory drugs belong to JAK kinase inhibitors.JAK kinase mediates the signal transduction of a variety of cytokines and plays an important role in autoimmune diseases.
Chronic inflammation is also considered to be one of the important causes of AD pathology.
Researchers have decided to start a clinical trial to test the effects of the JAK inhibitor baricitinib in patients with mild cognitive impairment or AD.
"Using FDA-approved drugs for the treatment of Alzheimer's disease is an attractive idea that can accelerate the development of innovative therapies.
Unfortunately, even for approved drugs, clinical trials require a lot of resources.
.
We cannot evaluate every drug in Alzheimer’s disease patients.
" Dr.
Artem Sokolov of the Harvard Medical School System Pharmacology Laboratory explained, "Therefore, we have established a framework for prioritizing drugs to help clinical research.
Focus on the most promising drugs.
"Note: This article is intended to introduce medical health research, not a treatment plan recommendation.
If you need guidance on treatment plans, please go to a regular hospital for treatment.
Reference: [1] Artificial intelligence reveals current drugs that mayhelp combat Alzheimer's disease.
Retrieved March 8, 2021, from https:// Rodriguez et al.
, (2021).
Machine learning identifies candidates for drug repurposing in Alzheimer's disease.
Nature Communications, https://doi.
org/10.
1038/s41467-021-21330-0
However, the effects of many drugs under investigation in clinical trials are not satisfactory.
A few days ago, the joint team of Massachusetts General Hospital (MGH) and Harvard Medical School (Harvard Medical School) screened the currently available drugs based on artificial intelligence and evaluated their potential as AD therapies.
They found that 15 drugs that have been approved by the FDA have the potential to treat AD, and 5 of them are JAK kinase inhibitors.
The research was published in Nature Communications.
In this research, scientists used machine learning technology to build an artificial intelligence system called Drug Repurposing In Alzheimer's Disease (DRAID).
By using large amounts of data to train the system, it can learn how to find patterns in the data and use it to help researchers make decisions.
The DRIAD system works by measuring the changes in human brain nerve cells after drug treatment.
This method assesses whether the drug-induced changes are related to molecular markers of disease severity.
It can also identify drugs that have protective and damaging effects on brain cells.
After screening 80 FDA-approved drugs, the researchers listed the top 15 potential drug candidates.
Among them, anti-inflammatory drugs for the treatment of rheumatoid arthritis and several drugs for the treatment of blood cancer are among the best.
▲Artificial intelligence found that 15 FDA-approved old drugs have the potential to treat AD (picture source: reference [2]).
Among them, anti-inflammatory drugs belong to JAK kinase inhibitors.JAK kinase mediates the signal transduction of a variety of cytokines and plays an important role in autoimmune diseases.
Chronic inflammation is also considered to be one of the important causes of AD pathology.
Researchers have decided to start a clinical trial to test the effects of the JAK inhibitor baricitinib in patients with mild cognitive impairment or AD.
"Using FDA-approved drugs for the treatment of Alzheimer's disease is an attractive idea that can accelerate the development of innovative therapies.
Unfortunately, even for approved drugs, clinical trials require a lot of resources.
.
We cannot evaluate every drug in Alzheimer’s disease patients.
" Dr.
Artem Sokolov of the Harvard Medical School System Pharmacology Laboratory explained, "Therefore, we have established a framework for prioritizing drugs to help clinical research.
Focus on the most promising drugs.
"Note: This article is intended to introduce medical health research, not a treatment plan recommendation.
If you need guidance on treatment plans, please go to a regular hospital for treatment.
Reference: [1] Artificial intelligence reveals current drugs that mayhelp combat Alzheimer's disease.
Retrieved March 8, 2021, from https:// Rodriguez et al.
, (2021).
Machine learning identifies candidates for drug repurposing in Alzheimer's disease.
Nature Communications, https://doi.
org/10.
1038/s41467-021-21330-0
