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A Review of How the Heart Ages

The European Heart Journal has published a review of what happens to the human heart as it ages, noting the cellular effects of mitochondrial dysfunction and cellular senescence along with more visible changes such as hypertrophy and fibrosis.

A constantly working organ

The reviewers begin this paper by noting the constant work of the heart, as it must unceasingly pump blood for us to be able to live. Unfortunately, this organ is well-known to fail with age; while only roughly 1% of people under 55 suffer heart failure, it occurs in over 10% of people over 70 [1].

Dendritic cell immunotherapy induces anti-tumor effect in a transgenic mouse model of pancreatic ductal adenocarcinoma

The promise of dendritic cell (DC)-based immunotherapy has been established by two decades of translational research. However, long-term benefits of DC vaccination are reported in only scattered patients with pancreatic ductal adenocarcinoma (PDAC). Here we optimize DC vaccination and evaluate its safety and antitumor efficacy in the genetically engineered PDAC model (KrasLSL-G12D p53LSL-R172H Pdx-1-Cre (KPC mice)). KPC transgenic mice and orthotopic models using KPC cell lines were treated with DC vaccine via an intraperitoneal route. Tumor growth and microenvironment were dynamically monitored by magnetic resonance imaging (MRI). Histological analysis and flow cytometry were used to evaluate tumor-directed T cell immunity of these mice. DC vaccine via intraperitoneal injection suppressed tumor progression (P = 0.030) and significantly prolonged survival time (P = 0.028) in KPC mice. Vaccinated KPC mice displayed an increased antitumor T cell response indicated by a higher IFN-γ production (P = 0.016) and tumor-specific cytotoxicity (P = 0.027). Particularly, the mean apparent diffusion coefficient (ADC) values of KPC tumor calculated from diffusion weighted MRI (DW-MRI) were significantly higher in DC vaccine group than that in control group (P < 0.001). More interestingly, we observed that ADC positively correlated with fibrosis in KPC tumor (R2 = 0.463, P = 0.015). Our study demonstrated that the immunization with our improved DC vaccine can elicit a strong tumor-specific immune response and tumor suppression in PDAC.

A new model for alveolar macrophage-Mycobacterium tuberculosis (TB) interactions!

A new model for alveolar macrophage–Mycobacterium tuberculosis (TB) interactions!

https://doi.org/10.1172/jci.insight.

Michael S. Glickman & team establish a stem cell–derived lung alveolar macrophage model to reveal itaconate functions differently between human macrophage types in the host defense against Mtb:

The figure: Brightfield and stained images of two macrophage populations.


1Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, USA.

2Immunology and Microbial Pathogenesis Program, Weill Cornell Medicine, New York, New York, USA.

Study suggests one common amino acid may affect how long men live

A large new study suggests that higher levels of a common amino acid called tyrosine may be linked to a shorter lifespan in men.

The research, published recently in the journal Aging, examined whether blood levels of two amino acids, phenylalanine and tyrosine, were connected to how long people live.

Amino acids are building blocks of protein. They are found in protein-rich foods such as milk, eggs and meat, and are also sold as dietary supplements.

TerraLingua: Emergence and Open-Ended Dynamics in LLM Ecologies

Unlike previous AI simulations where agents existed in consequence-free bubbles, TerraLingua operates more like a real ecosystem. Agents have limited resources and finite lifespans. When an agent “dies,” it’s gone—but here’s the twist: anything it created “survives.” A tool, a rule, a piece of knowledge—these artifacts live on, shaping how future generations of agents behave and interact.


Introducing TerraLingua, a multi-agent LLM ecology that shows how AI agents interact, cooperate, and build shared culture over time in a persistent environment.

Insulin resistance prediction from wearables and routine blood biomarkers

A machine-learning model that integrates data from wearable devices (such as smartwatches) with blood biomarkers and demographic data can predict whether someone has insulin resistance, enabling timely lifestyle interventions to prevent progression to type 2 diabetes.

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