Personalized Medicine

Teach Me in 10

In this Teach Me in 10 episode, we are joined by Dr. Andrew Mtewa, senior lecturer in chemistry at the Malawi University of Science and Technology.

Mtewa discusses the properties that make a molecule a potential drug candidate worthy of pursuing, factors that help improve drug absorption and drug distribution in the body as well as the role of metabolism on drug action and rates.


Andrew Mtewa suggests the resources below for further reading:
•https://www.nature.com/articles/nrd1032
• https://www.sciencedirect.com/science/article/abs/pii/S1056871900001076?via%3Dihub
• https://www.sciencedirect.com/science/article/abs/pii/S1359644618303301
• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350845/

ADMET in Drug Discovery With Dr. Andrew Mtewa

In this Teach Me in 10 episode, we are joined by Dr. Eric Wengert, postdoctoral fellow at The Children’s Hospital of Philadelphia. 

Dr. Wengert will be discussing epilepsy, the neurological disorder caused by hyperexcitability and synchrony in the brain, which manifest as behavioral seizures. 

While there are antiseizure medications available, many patients become refractory to available treatments and even those in which seizures are controlled have to deal with significant adverse side effects. 

For this reason, scientists are actively investigating new ways to better prevent seizures with fewer and less severe side effects. Gene therapy, which seeks to modify brain activity by altering gene expression directly rather than protein function, represents a more targeted way of intervening in the brain. 

One of these approaches, Targeted Augmentation of Nuclear Gene Output (TANGO), seeks to boost gene expression of the SCN1A gene to treat a severe genetic epilepsy syndrome called Dravet Syndrome. In a mouse model of Dravet Syndrome, a single treatment with TANGO rescues the impaired excitability of inhibitory interneurons, reduces seizure frequency and prolongs survival. 

Gene therapy approaches like TANGO hold great potential for treating epilepsy and improving the lives of patients, as Dr. Wengert explores in this video.

Gene Therapy To Treat Epilepsy With Dr. Eric Wengert

Aging (Aging-US)

Aging-US published this trending research paper in Volume 14, Issue 12, entitled, "Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability" by researchers from Deep Longevity Limited, Hong Kong; Insilico Medicine, Hong Kong; Buck Institute for Research on Aging, Novato, CA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA.

DOI - https://doi.org/10.18632/aging.204061

Corresponding author - Alex Zhavoronkov - alex@insilico.com

Abstract

In this article, we present a deep learning model of human psychology that can predict one’s current age and future well-being. We used the model to demonstrate that one’s baseline well-being is not the determining factor of future well-being, as posited by hedonic treadmill theory. Further, we have created a 2D map of human psychotypes and identified the regions that are most vulnerable to depression. This map may be used to provide personalized recommendations for maximizing one’s future well-being.

Sign up for free Altmetric alerts about this article - https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.204061

Keywords - aging, self-organizing maps, well-being, artificial intelligence, depression

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website at http://www.Aging-US.com​​ and connect with us:

SoundCloud - https://soundcloud.com/Aging-Us
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/agingus​
LinkedIn - https://www.linkedin.com/company/aging/
Pinterest - https://www.pinterest.com/AgingUS/

Aging-US is published by Impact Journals, LLC: http://www.ImpactJournals.com​​

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

Paper Abstract: Self-Organizing Maps (SOMs) for Future Well-Being

Psychedelic-assisted psychotherapy (PAP) is under investigation for its potential in treating psychiatric conditions. A recent paper, published by academics Agnieszka Sekula and Dr. Prash Puspanathan, outlined how virtual reality (VR) might be incorporated into aspects of the PAP process. 

In this Teach Me In 10 episode we are joined by Agnieszka Sekula co-founder of Enosis Therapeutics and PhD Researcher at Swinburne University of Technology to discover exactly how VR could be used in Psychedelic-Assisted Psychotherapy. She covers the clinical limitations as well as the correct preparation, dosing, and integration.

Using Virtual Reality in Psychedelic-Assisted Psychotherapy With Agnieszka Sekula

In this Teach me In 10 episode we are joined by Nicky Keay, a leading expert in endocrinology and honorary clinical lecturer in medicine at UCL, honorary fellow in the Department of Sport and Exercise Sciences at Durham University, and former research fellow at St. Thomas’ Hospital. 

Dr. Keay will be teaching us about personalizing female hormone health, and how applying artificial intelligence to modeling female hormones enables women to access hormone intelligence at their fingertips.

Female Hormone Mapping With Dr. Nicky Keay

Aging (Aging-US) published this trending editorial in Volume 14, Issue 9, entitled, “Cognitive training and neuromodulation for Alzheimer treatment” by Fabrizio Vecchio from Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy.

DOI - https://doi.org/10.18632/aging.204044

Corresponding author - Fabrizio Vecchio - fabrizio.vecchio@uniecampus.it

Sign up for free Altmetric alerts about this article - https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.20404

Keywords - aging, EEG, Small World, cognitive training, rTMS, Alzheimer

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website at http://www.Aging-US.com​​ and connect with us:

SoundCloud - https://soundcloud.com/Aging-Us
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/agingus​
LinkedIn - https://www.linkedin.com/company/aging/
Pinterest - https://www.pinterest.com/AgingUS/

Aging-US is published by Impact Journals, LLC: http://www.ImpactJournals.com​​

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

Trending With Impact: Cognitive Training and Neuromodulation for Alzheimer’s

feiyuebio Agnes

Feiyuebio 202204 Research Experimental operation
Feiyue group has been working in the field of medical devices for more than 20 years, with rich experience in medical device research and development, production and sales. We have our own research and sales team with special tech support of professors from affiliated universities as technical consultants.
Researcher: Mr Zeng

202204 Research Experimental operation

Dr. Brian Chen, adjunct faculty at the Herbert Wertheim School of Public Health and Human Longevity Science at UC San Diego and the Chief Science Officer of FOXO Technologies, describes his experience publishing numerous papers with Aging (Aging-US).

Aging (Aging-US) papers co-authored by Dr. Chen:

Predicting physiological aging rates from a range of quantitative traits using machine learning: https://doi.org/10.18632/aging.203660

An epigenetic biomarker of aging for lifespan and healthspan: https://doi.org/10.18632/aging.101414

Leukocyte telomere length, T cell composition and DNA methylation age: https://doi.org/10.18632/aging.101293

Epigenetic clock analysis of diet, exercise, education, and lifestyle factors: https://doi.org/10.18632/aging.101168

DNA methylation-based measures of biological age: meta-analysis predicting time to death: https://doi.org/10.18632/aging.101020

Contact information - Brian Chen - bchen@foxotechnologies.com

Keywords - aging, aging clock, mortality, machine learning, epigenetic clock, DNA methylation, biomarker, healthspan, diet, lifestyle, lifespan, epigenetics, all-cause mortality

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website at http://www.Aging-US.com​​ or connect with us:

SoundCloud - https://soundcloud.com/Aging-Us
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/agingus​
LinkedIn - https://www.linkedin.com/company/aging/
Pinterest - https://www.pinterest.com/AgingUS/

Aging-US is published by Impact Journals, LLC: http://www.ImpactJournals.com​​

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

Author Testimonial: Dr. Brian Chen - FOXO Technologies

Aging (Aging-US) published this trending editorial in Volume 14, Issue 5, entitled, “Sex matters in Alzheimer’s disease?” by researchers Sheeja Navakkode, Toh Hean Ch’ng, and Sreedharan Sajikumar from the Department of Physiology, National University of Singapore.

DOI - https://doi.org/10.18632/aging.203950 (PDF Download)

Full text - https://www.aging-us.com/article/203950

Corresponding author - Sreedharan Sajikumar - phssks@nus.edu.sg

Keywords - Alzheimer's disease, LTP, behavioural tagging, sexual dimorphism, transcriptome profiling

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website at http://www.Aging-US.com​​ and connect with us:

SoundCloud - https://soundcloud.com/Aging-Us
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/agingus​
LinkedIn - https://www.linkedin.com/company/aging/
Pinterest - https://www.pinterest.com/AgingUS/

Aging-US is published by Impact Journals, LLC: http://www.ImpactJournals.com​​

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

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