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Dec 6, 2024

Ask the Expert: Megan Huisingh-Scheetz, MD, MPH, on advancing aging science with technology and her 2024 Terrie Fox Wetle Rising Star Award

Posted by in categories: life extension, science

Associate Professor, Associate Director of the Aging Research Program, and Co-Director of the Successful Aging and Frailty Evaluation Clinic in the.

Dec 6, 2024

The impact of inactivation of the GH/IGF axis during aging on healthspan

Posted by in categories: life extension, sex

By Sher Bahadur Poudel & Shoshana Yakar et al.


Several mouse lines with congenital growth hormone (GH)/insulin-like growth factor-1 (IGF-1) axis disruption have shown improved health and extended lifespan. The current study investigated how inactivating this axis, specifically during aging, impacts the healthspan. We used a tamoxifen-inducible global GH receptor (GHR) knockout mouse model starting at 12 months and followed the mice until 24 months of age (iGHRKO12–24 mice). We found sex-and tissue-specific effects, with some being pro-aging and others anti-aging. Measuring an array of cytokines in serum revealed that inactivation of the GH/IGF-1 axis at 12 months did not affect systemic inflammation during aging. On the other hand, hypothalamic inflammation was significantly reduced in iGHRKO12–24 mice, evidenced by GFAP+ (glial fibrillary acidic protein, a marker of astrocytes) and Iba-1+ (a marker for microglia). Liver RNAseq analysis indicated feminization of the male transcriptome, with significant changes in the expression of monooxygenase, sulfotransferase, and solute-carrier-transporter gene clusters. Finally, we found impaired bone morphology, more pronounced in male iGHRKO12–24 mice and correlated with GH/IGF-1 inactivation onset age. We conclude that inhibiting the GH/IGF-1 axis during aging only partially preserves the beneficial healthspan effects observed with congenital GH deficiency.

Inactivating the GH axis during aging has sex-and tissue-specific effects on healthspan. Deleting the GH receptor (GHR) in the entire body at 12 months of age led to feminizing the male liver transcriptome, significantly altering the expression of p450 and sulfotransferase gene clusters. While GHR deletion during aging did not impact systemic inflammation, it was linked to reduced hypothalamic inflammation. Additionally, we observed impaired bone morphology, particularly in male mice, which correlated with the age at which GH/IGF-1 inactivation began. Our findings suggest that inhibiting the GH axis during aging only partially maintains the beneficial healthspan effects seen with congenital GH deficiency.

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Dec 6, 2024

How can AI help advance science?

Posted by in categories: robotics/AI, science

4 researchers reveal the opportunities and challenges of using AI.

Dec 6, 2024

This AI-Powered Invention Machine Automates Eureka Moments

Posted by in category: innovation

A Swiss firm’s software mines the world’s knowledge for patent opportunities.

Dec 6, 2024

Primate study sheds light on a neural mechanism that separates signal from noise in the brain

Posted by in categories: biological, robotics/AI

When the brain is observed through imaging, there is a lot of “noise,” which is spontaneous electrical activity that comes from a resting brain. This appears to be different from brain activity that comes from sensory inputs, but just how similar—or different—the noise is from the signal has been a matter of debate.

New research led by a team at the University of Tokyo further untangles the relationship between internally generated noise and stimulus-related patterns in the brain, and finds that the patterns of spontaneous activity and stimulus-evoked response are similar in lower visual areas of the cerebral cortex, but gradually become independent, or “orthogonal,” as one moves from lower to higher visual areas.

The findings not only enhance our understanding of the mechanism that enables the brain to distinguish between signal and noise, but could also provide clues for developing noise-resistant incorporating a mechanism similar to that found in the biological brain. The study is published in the journal Nature Communications.

Dec 6, 2024

Algorithm analyzes multiple mammograms to improve breast cancer risk prediction

Posted by in categories: biotech/medical, information science

A new study from Washington University School of Medicine in St. Louis describes an innovative method of analyzing mammograms that significantly improves the accuracy of predicting the risk of breast cancer development over the following five years.

Using up to three years of previous mammograms, the new method identified individuals at high risk of developing 2.3 times more accurately than the standard method, which is based on questionnaires assessing clinical risk factors alone, such as age, race and family history of breast cancer.

The study is published Dec. 5 in JCO Clinical Cancer Informatics.

Dec 6, 2024

A Toroidal Mode in an Excited Nucleus

Posted by in category: futurism

Nuclear scattering data suggest the possible observation of a predicted but never-observed nuclear vibration.

Dec 6, 2024

Spotting the Scars of Spacetime

Posted by in category: futurism

Scientists have devised a way to use current gravitational-wave detectors to observe permanent deformations of spacetime caused by certain supernovae.

Dec 6, 2024

Enter the Mechanical Qubit

Posted by in categories: electronics, quantum physics

The demonstration of the first fully functioning mechanical qubit offers a new platform for quantum information processing and could lead to ultraprecise gravity sensors.

Dec 6, 2024

Alignment of Cells Affects Secondary Tumor Growth

Posted by in categories: biotech/medical, computing

Cell–cell alignment and a background of stationary cells together shape the emergence of cellular clusters in a primary tumor.

In a cancer patient, tumor cells that circulate throughout the body in clusters pose a greater threat of metastasis than those that circulate individually. Those clusters are thought to come together while the cells are still within the primary tumor, but researchers still don’t understand the formation mechanism. Quirine Braat at Eindhoven University of Technology in the Netherlands and her colleagues have now used computer simulations to identify some of the factors at play [1].

The team used a computational lattice model of cells and tissues (the cellular Potts model) to examine a 2D layer of two types of cells—one motile (able to move) and one nonmotile. The tendency of the motile cells to migrate was represented in the model by an external force applied to each one. For a given cell, this force could align strongly or weakly with the forces acting on its neighboring cells.

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