Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 340

Improvements in cancer prevention and screening have averted more deaths from five cancer types combined over the past 45 years than treatment advances, according to a modeling study led by researchers at the National Institutes of Health (NIH).

The study, published Dec. 5, 2024, in JAMA Oncology, looked at deaths from breast, cervical, colorectal, lung, and prostate cancer that were averted by the combination of prevention, , and advances.

The researchers focused on these five cancers because they are among the most common causes of cancer deaths and strategies exist for their prevention, early detection, and/or treatment. In recent years, these five cancers have made up nearly half of all new cancer diagnoses and deaths.

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

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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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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.

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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.

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