Back

Evaluating the Efficacy of Miglustat and Ambroxol Combination Therapy in a Phase 1b/2 Virtual Drug Trial for Type 1 Tay-Sachs Disease Using aiHumanoid Simulations

Danter, W. R.

2024-11-22 genetic and genomic medicine
10.1101/2024.11.21.24317709 medRxiv
Show abstract

Abstract (Draft1)Type 1 Tay-Sachs Disease (TSD) is a rare and severe neurodegenerative disorder caused by HEXA Loss of Function (LOF) gene mutations, leading to the accumulation of lysosomal GM2 gangliosides and progressive neurological decline, with high lethality before age 10. Current treatments are primarily palliative, focusing on symptom management. This study investigates the therapeutic potential of Miglustat and Ambroxol, individually and combined, in slowing neurodegeneration and cognitive decline in Type 1 TSD, leveraging aiHumanoid virtual simulations. Miglustat, a substrate reduction therapy, and Ambroxol, a pharmacological chaperone, offer complementary mechanisms that may enhance lysosomal function and reduce ganglioside accumulation. In a virtual Phase 1b/2 trial, simulated cohorts of children received these treatments across four dose levels (10%, 20%, 33.3%, and 50% of maximum tolerated dose [MTD]), with outcomes assessed at intervals from birth to 10 years. Key metrics included cognitive and motor function, quality of life, and lysosomal enzyme activity. Results indicated that combination therapy significantly reduced neurodegenerative symptoms and improved cognitive and motor outcomes, particularly at intermediate dose levels. Findings suggest that Miglustat and Ambroxol may provide a beneficial intervention strategy, warranting further clinical evaluation. These results also provide important potential insights into dose optimization and therapeutic synergies, offering a basis for real-world trials in Type 1 Tay-Sachs Disease. The use of aiHumanoid simulations demonstrates a novel approach for drug testing in rare diseases, enabling detailed assessment of efficacy and safety profiles across developmental stages. The trials findings are based on virtual simulations rather than traditional clinical trials.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Molecular Pharmaceutics
16 papers in training set
Top 0.1%
15.1%
2
Frontiers in Aging Neuroscience
67 papers in training set
Top 0.2%
10.4%
3
PLOS ONE
4510 papers in training set
Top 21%
8.6%
4
Scientific Reports
3102 papers in training set
Top 16%
6.5%
5
Frontiers in Human Neuroscience
67 papers in training set
Top 0.4%
3.7%
6
International Journal of Molecular Sciences
453 papers in training set
Top 4%
2.5%
7
Frontiers in Molecular Biosciences
100 papers in training set
Top 1.0%
2.1%
8
Neurobiology of Disease
134 papers in training set
Top 2%
2.1%
50% of probability mass above
9
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 1%
1.9%
10
Journal of Neurology
26 papers in training set
Top 0.6%
1.7%
11
Computers in Biology and Medicine
120 papers in training set
Top 2%
1.5%
12
Brain Communications
147 papers in training set
Top 2%
1.4%
13
Artificial Intelligence in the Life Sciences
11 papers in training set
Top 0.1%
1.4%
14
Orphanet Journal of Rare Diseases
18 papers in training set
Top 0.4%
1.3%
15
Psychiatry Research
35 papers in training set
Top 1%
1.3%
16
Brain and Behavior
37 papers in training set
Top 0.8%
1.3%
17
Aging
69 papers in training set
Top 2%
1.3%
18
Frontiers in Pharmacology
100 papers in training set
Top 3%
1.3%
19
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 7%
1.0%
20
Annals of Clinical and Translational Neurology
29 papers in training set
Top 0.9%
1.0%
21
Frontiers in Psychiatry
83 papers in training set
Top 3%
0.9%
22
Biomedicines
66 papers in training set
Top 2%
0.8%
23
Epilepsia
49 papers in training set
Top 0.7%
0.8%
24
Frontiers in Neurology
91 papers in training set
Top 5%
0.8%
25
Journal of Personalized Medicine
28 papers in training set
Top 1%
0.8%
26
Journal of the Neurological Sciences
17 papers in training set
Top 0.7%
0.8%
27
iScience
1063 papers in training set
Top 31%
0.8%
28
Briefings in Bioinformatics
326 papers in training set
Top 7%
0.7%
29
Journal of Clinical Medicine
91 papers in training set
Top 7%
0.7%
30
Alzheimer's & Dementia
143 papers in training set
Top 3%
0.7%