Pulque: The Ancient Drink That Could Shape the Future of Health

Pulque: The Ancient Drink That Could Shape the Future of Health

Pulque, an ancient Mexican beverage, is making waves in the scientific community—not just as a cultural relic, but as a potential health-boosting powerhouse. A team of researchers, including Prof. Rogelio Valadez-Blanco, Dr. Yesica Ruiz-Ramírez, and Prof. Paula Guadarrama-Mendoza, from Universidad Tecnológica de La Mixteca, has been investigating the hidden potential of the bacteria found in this traditional drink. Their findings suggest that pulque’s naturally occurring lactic acid bacteria could play a key role in promoting gut health and even combating harmful pathogens that cause foodborne illnesses.

Lixiang Zhang | Seeing the Full Picture: The CPS-Merge Approach to Assess Complex Datasets

Lixiang Zhang | Seeing the Full Picture: The CPS-Merge Approach to Assess Complex Datasets

In the age of big data, and particularly in specialisations such as artificial intelligence, biology, and medicine, researchers often generate large and complex datasets that are challenging to analyse. This is particularly true for multi-view data, otherwise known as multimodal data, which are data that encompass multiple perspectives concerning a single entity or phenomenon. In the case of single-cell genomics, for instance, researchers can measure a huge range of different characteristics concerning an individual cell, such as RNA expression levels or protein levels. While multi-view datasets provide vast amounts of information, they are difficult to analyse because looking at each type of data within them provides only a small part of the overall picture. A new computational approach called Covering Point Set-merge analysis, or CPS-merge analysis for short, has been developed by Lixiang Zhang of Pennsylvania State University and colleagues, and it aims to assist researchers to merge the different types of data present in multi-view datasets into one coherent and meaningful set of results, without misrepresenting the individual contributions of each type of data.

Dr. Robert Kass | Beating arrhythmias with a heart in a dish

Dr. Robert Kass | Beating arrhythmias with a heart in a dish

In the future, doctors will be able to create tiny replicas of your tissues in the lab, and then test them against a range of drugs, revealing exactly which treatments would work best for you before you even visit a drug store. This future of personalised medicine is driven by researchers such as Dr. Robert Kass of the Columbia University Medical Center. Kass and colleagues have pioneered the use of stem cells to develop personalized treatments for a genetic heart condition that disrupts normal heart rhythms. The researchers reprogrammed a patient’s skin cells into stem cells called induced pluripotent stem cells (or iPSCs for short), and they then induced the iPSCs to turn into heart cells. This allowed the research team to study how genetic mutations in the resulting heart cells affect the heart’s ion channels. Their research revealed that a mutation in a specific sodium channel was causing dangerous heart rhythms and that combining the drug mexiletine with a pacemaker device to increase heart rate, provided an effective and personalised treatment.

Prof. Andisheh Dadashi | Unraveling the Mysteries of Human Embryo Metabolism: Insights from Computational Models

Prof. Andisheh Dadashi | Unraveling the Mysteries of Human Embryo Metabolism: Insights from Computational Models

Metabolism is the cornerstone of life, orchestrating the myriad chemical reactions that sustain cells, tissues, and organisms. It drives growth, division, energy production, and cellular maintenance. For scientists, understanding metabolism, particularly during the earliest stages of human development, holds the key to uncovering the origins of various diseases and developmental disorders. However, studying metabolism in human embryos presents formidable challenges due to ethical considerations, their tiny size, and the intricate web of metabolic pathways. In a groundbreaking study, researchers Prof. Andisheh Dadashi and Derek Martinez of the University of New Mexico-Valencia leveraged advanced computational models to shed light on the metabolic processes occurring in human embryos during the critical peri-implantation stage.

Dr Hosam Alharbi | Estimating Human Age Using Wide View Digital Dental Images

Dr Hosam Alharbi | Estimating Human Age Using Wide View Digital Dental Images

Dental features have been used to estimate age in humans for centuries and may be used with great accuracy in both living and deceased individuals. However, refinement of these techniques to align with modern clinical practice is ongoing. Dr Hosam Alharbi and colleagues at Qassim University in Saudi Arabia have introduced an amended version of an established technique to assess whether dental imaging systems used in modern clinics are suitable for determining human age.

Dr. Archana Thakur | A Novel Immunotherapy Approach to Treat Solid Tumors

Dr. Archana Thakur | A Novel Immunotherapy Approach to Treat Solid Tumors

Developing therapies to effectively treat cancerous tumors is challenging, due to the hostility of the tumor microenvironment and the potential to unintentionally damage surrounding tissues. Infusions of immune cells can improve immune function and assist the body in fighting disease, although this approach increases the risk of inducing dangerous inflammatory responses. Dr. Archana Thakur and her colleagues at the Universities of Virginia and Pennsylvania have engineered a pioneering immunotherapy system that precisely targets cancerous cells. This new immunotherapy poses minimal risk of adverse reactions, and can be used against a wide range of tumor types.