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Scientists from the Shenzhen Institute of Advanced Technology (SIAT) within the Chinese Academy of Sciences (CAS), along with their partners, have designed a targeted gene therapy approach to mitigate the primary motor symptoms of Parkinson’s disease in both rodents and nonhuman primates.

The study was recently published in the journal Cell.

Parkinson’s disease, characterized by the loss of midbrain dopaminergic neurons, is one of the most common neurodegenerative diseases in the elderly population, affecting more than 6 million people worldwide.

An AI that can identify the patients most at risk of pancreatic cancer could lead to earlier detection of the deadly disease, which currently kills 88% of patients within 5 years of diagnosis.

The challenge: People with pancreatic cancer typically don’t experience any symptoms until a tumor is large or the cancer has spread to other organs. As a result, most aren’t diagnosed until their cancer is advanced and much harder to treat.

Screening people without symptoms for pancreatic cancer could lead to earlier detection, but the only tests for it are expensive or invasive. As a result, they’re reserved for the few people doctors believe are at high risk of pancreatic cancer, due to a family history of the disease, for example.

The connection between exercise and inflammation has captivated the imagination of researchers ever since an early 20th-century study showed a spike of white cells in the blood of Boston marathon runners following the race.

Now, a new Harvard Medical School study published in Science Immunology may offer a molecular explanation behind this century-old observation.

The study, in mice, suggests that the beneficial effects of exercise may be driven, at least partly, by the immune system. It shows that muscle inflammation caused by exertion mobilizes inflammation-countering T cells, or Tregs, which enhance the muscles’ ability to use energy as fuel and improve overall exercise endurance.

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Although the transcriptomic signature of the tumor could not predict recurrence or the risk of progression, that of the TAN sample could successfully predict the recurrence of the disease and aid the stratification of patients into high-and low-risk groups.

This indicates the potential role of TAN tissue in future recurrence and its utility in predicting prognosis. However, TAN tissue could not accurately predict the formation of a new primary tumor.

Adoptive cell therapy has emerged as a promising alternative treatment for hematological and solid cancers, with CAR-T therapy standing out as a prominent avenue. In this approach, T cells are genetically engineered with chimeric antigen receptors (CARs) to enhance their targeting capabilities1–2. The outcome of CAR-T cell therapy hinges on a complex interplay of phenotype, activation, and functional profiling of these engineered cells. Immunophenotypic characterization of CAR-T cells assumes a pivotal role in ensuring treatment quality and facilitating continuous monitoring of treatment response1. In the process of immunophenotyping, engineered T cells are separated based on their markers to characterize the composition of the cell population within the sample. The strategic identification and isolation of specific CAR-T cell subsets is essential in augmenting therapy responses2.

Deciphering Cellular Composition, Defining CAR-T Therapy Efficacy

Immunophenotyping is a pivotal technique that combines specific antibodies with fluorescent compounds to reveal specific protein expression in cell populations to identify categorize the tagged cells. Immunophenotyping leverages the differences in surface markers among T cells, reflecting their differentiation, activation, and memory status2. These markers provide insights into immune cell development, function, proliferation potential, and long-term viability. The distinct surface marker profiles closely correlate with the efficacy of CAR-T cell therapy3. Essential markers for immunophenotypic analysis, including CD3, CD4, CD8, CD45RA, CD34R0, CCR7, CD27, and CD95, are presented in Table 1.

Psychiatric patients almost twice as likely to have multiple physical ailments – new study.

A new study, conducted by Anglia Ruskin University (ARU) in collaboration with the University of Cambridge’s Biomedical Research Centre, has revealed significant findings about the physical health of psychiatric patients. This extensive analysis incorporated data from 19 different studies, involving 194,123 psychiatric patients globally, and compared them to 7,660,590 individuals in control groups.

Findings on Multimorbidity.

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Study investigates how maternal metabolic conditions like pregestational diabetes, gestational diabetes, and obesity mediate the risk of neurodevelopmental conditions in children. It highlights the significant role of obstetric and neonatal complications in this relationship, emphasizing the need for managing these complications to mitigate children’s risk of developing conditions like ADHD and autism.

You requested a video exploring the future of medical records, and your wish is our command!

We’re aware that administrative tasks are often the bane of a physician’s work, contributing significantly to burnout. So, let’s embark on a journey together to discover how the future might unfold, and whether artificial intelligence has the potential to lighten this heavy burden.