Treatment Analysis for Alzheimer’s Disease using Caenorhabditis Elegans as a Model

Main Article Content

Ramin Sarkar

Abstract

Alzheimer's Disease, a progressive neurodegenerative condition lacking a definitive and guaranteed treatment, prompts critical investigation for effective remedies to manage its behavioral and cognitive impact. Herbal extracts like Ginkgo Biloba, Lion's Mane, Basil, and Sage present potential options to alleviate plaque build-up caused by Alzheimer's. This study aims to identify the most efficacious herbal extract for treating Alzheimer's, using aged Caenorhabditis elegans (C. elegans) as a model organism. The hypothesis states that treated C. elegans will exhibit increased behavioral movement and altered molecular effects compared to the untreated C. elegans. The Independent Variable consists of the various extracts fed to the C. elegans. The Dependent Variables consist of the C. elegan's behavioral abilities (speed, responsiveness, foraging) and C. elegan’s molecular effects measured by protein concentration. The Control Variable is the untreated aged C. elegan’s behavioral movement and molecular effects. Data was collected using WormLab and molecular assays to validate and determine the treatment's effectiveness. Through ANOVA testing, statistically significant differences emerged in four out of five measured tests, rejecting the null hypothesis more often than accepting it. Results from data indicate Ginkgo Biloba extract as the best extract, due to displaying increased speed, responsiveness, and foraging ability in C.elegans compared to other extracts and untreated C. elegans.This suggests Ginkgo Biloba as a highly possible treatment option.

Downloads

Download data is not yet available.

Article Details

How to Cite
[1]
Ramin Sarkar , Tran., “Treatment Analysis for Alzheimer’s Disease using Caenorhabditis Elegans as a Model”, IJAPSR, vol. 4, no. 4, pp. 29–34, Oct. 2024, doi: 10.54105/ijapsr.A4057.04040624.
Section
Articles

How to Cite

[1]
Ramin Sarkar , Tran., “Treatment Analysis for Alzheimer’s Disease using Caenorhabditis Elegans as a Model”, IJAPSR, vol. 4, no. 4, pp. 29–34, Oct. 2024, doi: 10.54105/ijapsr.A4057.04040624.
Share |

References

Scott, K. R., & Barrett, A. M. (2007). Dementia syndromes: evaluation and treatment. Expert Review of Neurotherapeutics, 7(4), 407–422. https://doi.org/10.1586/14737175.7.4.407

Jung, D., Lee, K., De Gagne, J. C., Lee, M., Lee, H., Yoo, L., Won, S., & Choi, E. (2021). Eating Difficulties among Older Adults with Dementia in Long-Term Care Facilities: A Scoping Review. International Journal of Environmental Research and Public Health, 18(19), 10109. https://doi.org/10.3390/ijerph181910109

Yiannopoulou, K. G., Anastasiou, A. I., Zachariou, V., & Pelidou, S. (2019). Reasons for failed trials of Disease-Modifying Treatments for Alzheimer Disease and their contribution in recent research. Biomedicines, 7(4), 97. https://doi.org/10.3390/biomedicines7040097

Karimi, A., Majlesi, M., & Rafieian-Kopaei, M. (2015). Herbal versus synthetic drugs: Beliefs and facts. Journal of Nephropharmacology, 4(1), 27-30.

John, O. O., Amarachi, I. S., Agbo, C. P., Adaeze, E., Kale, M. B., Umare, M. D., & Upaganlawar, A. (2022). Phytotherapy: A promising approach for the treatment of Alzheimer’s disease. Pharmacological Research - Modern Chinese Medicine, 2, 100030. https://doi.org/10.1016/j.prmcm.2021.100030

Xie, L., Zhu, Q., & Lu, J. (2022). Can We Use Ginkgo biloba Extract to Treat Alzheimer’s Disease? Lessons from Preclinical and Clinical Studies. Cells, 11(3), 479. https://doi.org/10.3390/cells11030479

Brandalise, F., Roda, E., Ratto, D., Goppa, L., Gargano, M. L., Cirlincione, F., Priori, E. C., Venuti, M. T., Pastorelli, E., Savino, E., & Rossi, P. (2023). Hericium erinaceus in Neurodegenerative Diseases: From Bench to Bedside and Beyond, How Far from the Shoreline? Journal of Fungi, 9(5), 551. https://doi.org/10.3390/jof9050551

Szućko-Kociuba, I., Trzeciak-Ryczek, A., Kupnicka, P., & Chlubek, D. (2023). Neurotrophic and Neuroprotective Effects of Hericium erinaceus. International Journal of Molecular Sciences, 24(21), 15960. https://doi.org/10.3390/ijms242115960

Heshami, N., Mohammadali, S., Komaki, A., Tayebinia, H., Karimi, J., Oshaghi, E. A., Hashemnia, M., & Khodadadi, I. (2021). Favorable effects of dill tablets and Ocimum basilicum L. extract on learning, memory, and hippocampal fatty acid composition in hypercholesterolemic rats. DOAJ (DOAJ: Directory of Open Access Journals), 24(3), 300–311. https://doi.org/10.22038/ijbms.2021.49013.11230

Gregory, J., Vengalasetti, Y. V., Bredesen, D. E., & Rao, R. V. (2021). Neuroprotective herbs for the management of Alzheimer’s disease. Biomolecules, 11(4), 543. https://doi.org/10.3390/biom11040543

Alvarez, J., Álvarez-Illera, P., Santo‐Domingo, J., Fonteríz, R. I., & Montero, M. (2022). Modeling Alzheimer’s Disease in Caenorhabditis elegans. Biomedicines, 10(2), 288. https://doi.org/10.3390/biomedicines10020288

Zhang, S., Li, F., Zhou, T., Wang, G., & Li, Z. (2020). Caenorhabditis elegans as a Useful Model for Studying Aging Mutations. Frontiers in Endocrinology, 11. https://doi.org/10.3389/fendo.2020.554994

Lai, C., Chou, C., Ch’ang, L., Liu, C., & Lin, W. (2000). Identification of Novel Human Genes Evolutionarily Conserved in Caenorhabditis elegans by Comparative Proteomics. Genome Research, 10(5), 703–713. https://doi.org/10.1101/gr.10.5.703f

Henricson, A., Sonnhammer, E. L., Baillie, D. L., & Gomes, A. V. (2004). Functional characterization in Caenorhabditis elegans of transmembrane worm-human orthologs. BMC Genomics, 5(1). https://doi.org/10.1186/1471-2164-5-85

Pincus, Z., Mazer, T., & Slack, F. J. (2016). Autofluorescence as a measure of senescence in C. elegans: look to red, not blue or green. Aging, 8(5), 889–898. https://doi.org/10.18632/aging.100936

V P, S., S, S., & George, Prof. J. (2021). Alzheimer s Disease Classification and Detection using MRI Dataset. In International Journal of Innovative Technology and Exploring Engineering (Vol. 10, Issue 5, pp. 70–72). https://doi.org/10.35940/ijitee.e8662.0310521

Salehi, A. W., Baglat, P., & Gupta, G. (2020). Alzheimer’s Disease Diagnosis using Deep Learning Techniques. In International Journal of Engineering and Advanced Technology (Vol. 9, Issue 3, pp. 874–880). https://doi.org/10.35940/ijeat.c5345.029320

Kumari, B. A. S., Shetty M, C., H M, L., Jain, M. P., & S, S. (2020). Exploring the methods on early detection of Alzheimer’s disease. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 9, Issue 1, pp. 1754–1758). https://doi.org/10.35940/ijrte.a2391.059120

Pai, R., & Wadhwa, A. (2022). Artificial Intelligence based Modern Approaches to Diagnose Alzheimer s. In Indian Journal of Artificial Intelligence and Neural Networking (Vol. 2, Issue 2, pp. 1–14). https://doi.org/10.54105/ijainn.b1045.022222

Most read articles by the same author(s)

<< < 1 2 3 4 5