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New imaging method tracks cancer from whole body to individual cells

One of the biggest challenges in cancer research has been linking the “big picture” seen in medical scans with the microscopic biology that drives tumor growth and dictates how patients respond to treatment. Now, by combining multiple imaging techniques (PET scans, bioluminescence and fluorescence), scientists can detect tumors across the whole body simultaneously, pinpoint key targets and then examine those tumors in detail, including the surrounding cells and tissue.

Study lead Professor David Lewis of the Cancer Research UK Scotland Institute and University of Glasgow said, This exciting technology allows us to build a clearer map of how cancer behaves at both a holistic and microscopic level.

It allows researchers to follow tumors in the body, identify the lesions that matter and then zoom in to study those cancer cells and their environment, giving us new information about cancer that we can take forward into better and more precise treatments.

Physical activity in infancy is associated with body composition at age three

The prevalence of obesity in the pediatric population is increasing, driven by a multifactorial etiology that includes genetic predisposition as well as both prenatal and postnatal influences. We aimed to explore associations between child physical activity (PA) at ages one and three years and body composition at age three. Furthermore, we investigated associations between maternal PA during pregnancy and child body composition at age three.

Mother-child pairs (n = 68) from a pregnancy PA intervention study were included. Children’s PA was assessed at one-and three-year follow-ups using 7-day accelerometry and categorized into 24-hour PA and daytime PA (6 a.m. – 8 p.m.). Child body composition was measured by Dual-energy X-ray absorptiometry and expressed as fat-free mass (FFM) and body fat percentage (BF%). Maternal moderate-to-vigorous intensity PA (MVPA) was measured using a commercial activity tracker. Associations between maternal and child PA and child body composition were examined using linear regression. Variables used for model adjustment included maternal pre-pregnancy body mass index, gestational weight gain, maternal educational level at baseline, parity, maternal age at baseline, child walking status at age one, child sex, and child age at the three-year follow-up.

We found a positive association between daytime PA at age one and child FFM at age three. Daytime PA at age three was positively associated with FFM, and 24-hour PA at age three was negatively associated with BF% and positively associated with FFM. A 10% increase in 24-hour PA was associated with approximately 400 g higher FFM. Maternal MVPA during pregnancy showed no association with child body composition at age three.

A nucleolar view of neuromuscular disease

The nucleolus is a master regulator of ribosome biogenesis and cellular homeostasis, as well as an increasingly key determinant of neuromuscular diseases. Across these conditions, diverse genetic and molecular lesions converge on alterations in nucleolar organization and function. These changes impact ribosomal RNA synthesis and reshape translational output, linking nuclear events to cytoplasmic protein homeostasis in disease-relevant contexts. In this review, we propose a comprehensive framework in which the nucleolus integrates RNA dysfunction, genome organization, and translational control across neuromuscular disorders. This perspective provides a conceptual basis for interpreting disease heterogeneity and highlights nucleolar pathways as potential, underexploited targets for therapeutic intervention.

Two hours of sleep restored: Researchers make Alzheimer’s breakthrough

There’s a small fire isolated in your kitchen. If you had the right tool, you might be able to put it out. But before you can, the sprinklers turn on and flood your entire house. An automatic response to an issue has now damaged everything you own.

That’s akin to what happens in the brains of people with Alzheimer’s: Amyloid plaques, sticky protein clumps that build up in the brain, are the fire in the kitchen. Microglia, the brain’s resident immune cells, are the sprinklers. A mechanism designed to protect the body ends up hurting it.

Researchers at the University of Kentucky have discovered this harmful process for the first time—and figured out how to turn it off.

Early warning signs of potential drug resistance in schistosomiasis parasite revealed

Scientists have identified genetic changes in wild populations of the parasitic worm that causes schistosomiasis that may reduce its response to praziquantel, the only available treatment. The study provides an early warning for disease control and elimination programs.

Researchers from the Wellcome Sanger Institute, the Royal Veterinary College (RVC) and Medical College of Wisconsin (MCW) led a large-scale international collaboration analyzing hundreds of Schistosoma mansoni genomes collected from people in several African and Caribbean countries. The study is the largest genomic analysis of the parasite from human infections to date.

Published in Science Advances, the findings highlight the need for ongoing genomic surveillance to help protect the long-term effectiveness of praziquantel.

Current and future immunotherapeutic approaches in pancreatic cancer treatment

PDAC carcinogenesis like all the solid tumors is mediated by the gradual build-up of driver mutations, such as the oncogene KRAS (G12D mutation) [] and the tumor suppressor gene TP53 [, ]. These molecular modifications are accompanied by corresponding histological alterations during different stages of PDAC development []. The morphological progression initiates with the formation of precursor lesions known as pancreatic intraepithelial neoplasia (PanIN) [], which then advance to invasive adenocarcinoma. Changes in the surrounding tissue stroma occur as cancer continues to advance. The non-transformed tissue stroma, composed of components such as immunological, vascular, and connective tissue, plays a vital role in maintaining homeostasis in response to damage. However, cancer exploits these physiological responses to create a favorable tumor microenvironment (TME) for its efficient growth [, ]. Indeed, cancer resembles “persistent wounds”, and alterations in the stroma are the outcome of “abnormal wound healing” [].

Immunotherapeutic strategies possess a significant capability in inducing strong immune responses against tumors. Immunomodulators, immune checkpoint blockade (ICB), and adoptive cell transfer therapy could potentially offer hopeful strategies []. Remarkable outcomes have been achieved from 2010 to the present through clinical research that utilizes various immunotherapeutic approaches to treat patients with different types of cancer []. The immune responses specifically targeting cancer cells, triggered by immunotherapy, differ from those stimulated by tumor-directed therapies. Furthermore, these responses can endure for a prolonged period even after the treatment is discontinued [, ]. However, the application of immunotherapy yields insufficient results for the vast majority of PDACs. This is predominantly attributed to the characteristics of its TME, which is deficient in effector T cells that have previously been exposed to antigens [].

Tumor immunotherapy has revolutionized the treatment of various solid tumors. Nevertheless, current immunotherapies have had limited success in improving survival for patients with PDAC [, ]. The immunological resistance of PDAC to immunotherapies can be attributed to its low mutational burden and the hostile TME characterized by fibrosis, hypoxia, and immunosuppression []. However, a meta-analysis suggested that targeted immunotherapy is more effective than standard treatments in increasing survival and enhancing immune responses in pancreatic cancer patients []. Moreover, combining chemotherapy and surgery with other immunotherapies may synergistically improve outcomes. Various cytotoxic drugs and adjuvant therapies have been shown to sensitize the TME to immunotherapy by inducing immunogenic cell death, modifying evasive immune processes, and reducing immune suppression [, ].

New machine-learning equation accurately assess LDL cholesterol risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by laboratories in the U.S. and other countries to guide efforts to lower cardiovascular disease risk. Now, a simplified machine-learning version of this equation has been shown in a study of millions of U.S. adult and child blood samples to match the accuracy of the original—making it broadly accessible. The findings and code were published in JAMA Cardiology.

“We’ve optimized the calculation of LDL cholesterol and made this equation accessible and easier for all labs to implement,” says Seth Martin, M.D., M.H.S., the senior study author and director of the Advanced Lipid Disorders Program and Digital Health Lab at the Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease.

“Our goal is to enable clinicians and patients to make better decisions about starting treatments that prevent heart attacks and strokes and save lives.”

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