Chemistry of Neuroactive Compounds in Algae for Pediatric Neurology

Srihari Padmanabhan

doi:10.36676/jrps.v14.i1.1552

Authors

Srihari Padmanabhan Independent Researcher,USA.

DOI:

https://doi.org/10.36676/jrps.v14.i1.1552

Keywords:

Neuroactive compounds, algae, pediatric neurology, ADHD, Autism Spectrum Disorders, epilepsy

Abstract

This research paper focuses on examining the possibility of applied neuropharmacology of neuroactive substances of algae in pediatric neurology. It explores their reseal, description and operation of the drugs targeted in ADHD, ASD and epilepsy. The paper also discusses new directions and application to practice of intended therapy utilization for such compounds and the emerging trend in pediatric neurological conditions. The revelations that algae contain neuroactive compounds make this work beneficial for the continuing advancement of neurological treatment for children.

References

Cihlář, J., Füssy, Z., Horák, A., & Oborník, M. (2016). Evolution of the tetrapyrrole biosynthetic pathway in secondary algae: conservation, redundancy and replacement. PLoS One, 11(11), e0166338. https://doi.org/10.1371/journal.pone.0166338

Cummings, J. (2017). Disease modification and Neuroprotection in neurodegenerative disorders. Translational Neurodegeneration, 6, 1-7. https://doi.org/10.1186/s40035-017-0096-2

Fraunberger, E., & Esser, M. J. (2019). Neuro-inflammation in pediatric traumatic brain injury—from mechanisms to inflammatory networks. Brain sciences, 9(11), 319. https://doi.org/10.3390/brainsci9110319

Golub, V., & Reddy, D. S. (2021). Cannabidiol therapy for refractory epilepsy and seizure disorders. Cannabinoids and neuropsychiatric disorders, 93-110. https://doi.org/10.1007/978-3-030-57369-0_7

Ismail, F. Y., Fatemi, A., & Johnston, M. V. (2017). Cerebral plasticity: Windows of opportunity in the developing brain. European journal of paediatric neurology, 21(1), 23-48. https://doi.org/10.1016/j.ejpn.2016.07.007

Khan, F., Magaji, M. G., Abdu-Aguye, I., Hussaini, I. M., Hamza, A., Olorukooba, A. B., ... & Maje, I. M. (2021). Phytochemical profiling of the bioactive principles of Alysicarpus glumaceus (Vahl) DC. aerial parts. İstanbul Journal of Pharmacy, 51(2), 228-238. https://dergipark.org.tr/en/pub/iujp/issue/63480/989181#article_cite

Krishnan, V. V. (2019). Molecular thermodynamics using nuclear magnetic resonance (NMR) spectroscopy. Inventions, 4(1), 13. https://doi.org/10.3390/inventions4010013

Lord, C., Elsabbagh, M., Baird, G., & Veenstra-Vanderweele, J. (2018). Autism spectrum disorder. The lancet, 392(10146), 508-520. https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(18)31129-2/abstract?from=groupmessage&isappinstalled=0

Nolte, T. M., Peijnenburg, W. J., Hendriks, A. J., & van de Meent, D. (2017). Quantitative structure-activity relationships for green algae growth inhibition by polymer particles. Chemosphere, 179, 49-56. https://doi.org/10.1016/j.chemosphere.2017.03.067

Sakai, J. (2020). How synaptic pruning shapes neural wiring during development and, possibly, in disease. Proceedings of the National Academy of Sciences, 117(28), 16096-16099. https://doi.org/10.1073/pnas.2010281117

Shariatgorji, R., Nilsson, A., Strittmatter, N., Vallianatou, T., Zhang, X., Svenningsson, P., ... & Andrén, P. E. (2020). Bromopyrylium derivatization facilitates identification by mass spectrometry imaging of monoamine neurotransmitters and small molecule neuroactive compounds. Journal of the american society for mass spectrometry, 31(12), 2553-2557. https://doi.org/10.1021/jasms.0c00166

Sim, Y., Choi, J. G., Gu, P. S., Ryu, B., Kim, J. H., Kang, I., ... & Oh, M. S. (2016). Identification of neuroactive constituents of the ethyl acetate fraction from cyperi rhizoma using bioactivity-guided fractionation. Biomolecules & Therapeutics, 24(4), 438. 10.4062/biomolther.2016.091

Stokes, J., Tu, R., Peters, M., Yadav, G., Fabiano, L. A., & Seider, W. D. (2020). Omega-3 fatty acids from algae produced biodiesel. Algal research, 51, 102047. https://doi.org/10.1016/j.algal.2020.102047

Vellido-Perez, J. A., Ochando-Pulido, J. M., Brito-de la Fuente, E., & Martinez-Ferez, A. (2021). Novel emulsions–based technological approaches for the protection of omega–3 polyunsaturated fatty acids against oxidation processes–a comprehensive review. Food Structure, 27, 100175. https://doi.org/10.1016/j.foostr.2021.100175

Yamamoto, Y., Välitalo, P. A., Wong, Y. C., Huntjens, D. R., Proost, J. H., Vermeulen, A., ... & de Lange, E. C. (2018). Prediction of human CNS pharmacokinetics using a physiologically-based pharmacokinetic modeling approach. European Journal of Pharmaceutical Sciences, 112, 168-179. https://doi.org/10.1016/j.ejps.2017.11.011

Yılmaz, C., & Gokmen, V. (2021). Perspective on the formation, analysis, and health effects of neuroactive compounds in foods. Journal of Agricultural and Food Chemistry, 69(45), 13364-13372. https://doi.org/10.1021/acs.jafc.1c05181

Zhang, R., Loers, G., Schachner, M., Boelens, R., Wienk, H., Siebert, S., ... & Siebert, H. C. (2016). Molecular basis of the receptor interactions of polysialic acid (polySia), polySia mimetics, and sulfated polysaccharides. ChemMedChem, 11(9), 990-1002. https://doi.org/10.1002/cmdc.201500609

Santhosh Palavesh. (2019). The Role of Open Innovation and Crowdsourcing in Generating New Business Ideas and Concepts. International Journal for Research Publication and Seminar, 10(4), 137–147. https://doi.org/10.36676/jrps.v10.i4.1456

Santosh Palavesh. (2021). Developing Business Concepts for Underserved Markets: Identifying and Addressing Unmet Needs in Niche or Emerging Markets. Innovative Research Thoughts, 7(3), 76–89. https://doi.org/10.36676/irt.v7.i3.1437

Palavesh, S. (2021). Co-Creating Business Concepts with Customers: Approaches to the Use of Customers in New Product/Service Development. Integrated Journal for Research in Arts and Humanities, 1(1), 54–66. https://doi.org/10.55544/ijrah.1.1.9

Santhosh Palavesh. (2022). Entrepreneurial Opportunities in the Circular Economy: Defining Business Concepts for Closed-Loop Systems and Resource Efficiency. European Economic Letters (EEL), 12(2), 189–204. https://doi.org/10.52783/eel.v12i2.1785

Santhosh Palavesh. (2022). The Impact of Emerging Technologies (e.g., AI, Blockchain, IoT) On Conceptualizing and Delivering new Business Offerings. International Journal on Recent and Innovation Trends in Computing and Communication, 10(9), 160–173. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10955

Santhosh Palavesh. (2021). Business Model Innovation: Strategies for Creating and Capturing Value Through Novel Business Concepts. European Economic Letters (EEL), 11(1). https://doi.org/10.52783/eel.v11i1.1784

Santhosh Palavesh. (2023). Leveraging Lean Startup Principles: Developing And Testing Minimum Viable Products (Mvps) In New Business Ventures. Educational Administration: Theory and Practice, 29(4), 2418–2424. https://doi.org/10.53555/kuey.v29i4.7141

Palavesh, S. (2023). The role of design thinking in conceptualizing and validating new business ideas. Journal of Informatics Education and Research, 3(2), 3057.

Vijaya Venkata Sri Rama Bhaskar, Akhil Mittal, Santosh Palavesh, Krishnateja Shiva, Pradeep Etikani. (2020). Regulating AI in Fintech: Balancing Innovation with Consumer Protection. European Economic Letters (EEL), 10(1). https://doi.org/10.52783/eel.v10i1.1810

Sri Sai Subramanyam Challa. (2023). Regulatory Intelligence: Leveraging Data Analytics for Regulatory Decision-Making. International Journal on Recent and Innovation Trends in Computing and Communication, 11(11), 1426–1434. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10893

Challa, S. S. S. (2020). Assessing the regulatory implications of personalized medicine and the use of biomarkers in drug development and approval. European Chemical Bulletin, 9(4), 134-146.

D.O.I10.53555/ecb.v9:i4.17671

EVALUATING THE EFFECTIVENESS OF RISK-BASED APPROACHES IN STREAMLINING THE REGULATORY APPROVAL PROCESS FOR NOVEL THERAPIES. (2021). Journal of Population Therapeutics and Clinical Pharmacology, 28(2), 436-448. https://doi.org/10.53555/jptcp.v28i2.7421

Challa, S. S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2019). Investigating the use of natural language processing (NLP) techniques in automating the extraction of regulatory requirements from unstructured data sources. Annals of Pharma Research, 7(5), 380-387.

Ashok Choppadandi. (2022). Exploring the Potential of Blockchain Technology in Enhancing Supply Chain Transparency and Compliance with Good Distribution Practices (GDP). International Journal on Recent and Innovation Trends in Computing and Communication, 10(12), 336–343. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10981

Challa, S. S. S., Chawda, A. D., Benke, A. P., & Tilala, M. (2020). Evaluating the use of machine learning algorithms in predicting drug-drug interactions and adverse events during the drug development process. NeuroQuantology, 18(12), 176-186. https://doi.org/10.48047/nq.2020.18.12.NQ20252

Challa, S. S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2023). Investigating the impact of AI-assisted drug discovery on the efficiency and cost-effectiveness of pharmaceutical R&D. Journal of Cardiovascular Disease Research, 14(10), 2244.

Challa, S. S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2022). Quality Management Systems in Regulatory Affairs: Implementation Challenges and Solutions. Journal for Research in Applied Sciences and Biotechnology, 1(3), 278–284. https://doi.org/10.55544/jrasb.1.3.36

Ranjit Kumar Gupta, Sagar Shukla, Anaswara Thekkan Rajan, & Sneha Aravind. (2022). Strategies for Effective Product Roadmap Development and Execution in Data Analytics Platforms. International Journal for Research Publication and Seminar, 13(1), 328–342. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1515

Ranjit Kumar Gupta, Sagar Shukla, Anaswara Thekkan Rajan, & Sneha Aravind. (2022). Leveraging Data Analytics to Improve User Satisfaction for Key Personas: The Impact of Feedback Loops. International Journal for Research Publication and Seminar, 11(4), 242–252. https://doi.org/10.36676/jrps.v11.i4.1489

Ranjit Kumar Gupta, Sagar Shukla, Anaswara Thekkan Rajan, Sneha Aravind, 2021. "Utilizing Splunk for Proactive Issue Resolution in Full Stack Development Projects" ESP Journal of Engineering & Technology Advancements 1(1): 57-64.

Sagar Shukla, Anaswara Thekkan Rajan, Sneha Aravind, Ranjit Kumar Gupta, Santosh Palavesh. (2023). Monetizing API Suites: Best Practices for Establishing Data Partnerships and Iterating on Customer Feedback. European Economic Letters (EEL), 13(5), 2040–2053. https://doi.org/10.52783/eel.v13i5.1798

Sagar Shukla. (2021). Integrating Data Analytics Platforms with Machine Learning Workflows: Enhancing Predictive Capability and Revenue Growth. International Journal on Recent and Innovation Trends in Computing and Communication, 9(12), 63–74. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/11119

Shukla, S., Thekkan Rajan, A., Aravind, S., & Gupta, R. K. (2023). Implementing scalable big-data tech stacks in pre-seed start-ups: Challenges and strategies for realizing strategic vision. International Journal of Communication Networks and Information Security, 15(1).

Sneha Aravind. (2021). Integrating REST APIs in Single Page Applications using Angular and TypeScript. International Journal of Intelligent Systems and Applications in Engineering, 9(2), 81 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6829

Aravind, S., Cherukuri, H., Gupta, R. K., Shukla, S., & Rajan, A. T. (2022). The role of HTML5 and CSS3 in creating optimized graphic prototype websites and application interfaces. NeuroQuantology, 20(12), 4522-4536. https://doi.org/10.48047/NQ.2022.20.12.NQ77775

Nikhil Singla. (2023). Assessing the Performance and Cost-Efficiency of Serverless Computing for Deploying and Scaling AI and ML Workloads in the Cloud. International Journal of Intelligent Systems and Applications in Engineering, 11(5s), 618–630. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6730

Rishabh Rajesh Shanbhag, Rajkumar Balasubramanian, Ugandhar Dasi, Nikhil Singla, & Siddhant Benadikar. (2022). Case Studies and Best Practices in Cloud-Based Big Data Analytics for Process Control. International Journal for Research Publication and Seminar, 13(5), 292–311. https://doi.org/10.36676/jrps.v13.i5.1462

Siddhant Benadikar. (2021). Developing a Scalable and Efficient Cloud-Based Framework for Distributed Machine Learning. International Journal of Intelligent Systems and Applications in Engineering, 9(4), 288 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6761

Siddhant Benadikar. (2021). Evaluating the Effectiveness of Cloud-Based AI and ML Techniques for Personalized Healthcare and Remote Patient Monitoring. International Journal on Recent and Innovation Trends in Computing and Communication, 9(10), 03–16. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/11036

Rishabh Rajesh Shanbhag. (2023). Exploring the Use of Cloud-Based AI and ML for Real-Time Anomaly Detection and Predictive Maintenance in Industrial IoT Systems. International Journal of Intelligent Systems and Applications in Engineering, 11(4), 925 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6762

Nikhil Singla. (2023). Assessing the Performance and Cost-Efficiency of Serverless Computing for Deploying and Scaling AI and ML Workloads in the Cloud. International Journal of Intelligent Systems and Applications in Engineering, 11(5s), 618–630. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/673

Nikhil Singla. (2023). Assessing the Performance and Cost-Efficiency of Serverless Computing for Deploying and Scaling AI and ML Workloads in the Cloud. International Journal of Intelligent Systems and Applications in Engineering, 11(5s), 618–630. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6730

Challa, S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2019). Investigating the use of natural language processing (NLP) techniques in automating the extraction of regulatory requirements from unstructured data sources. Annals of PharmaResearch, 7(5), 380-387.

Ritesh Chaturvedi. (2023). Robotic Process Automation (RPA) in Healthcare: Transforming Revenue Cycle Operations. International Journal on Recent and Innovation Trends in Computing and Communication, 11(6), 652–658. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/11045