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Overactive Cell Metabolism Linked to Biological Aging

Why do cells, and by extension humans, age? The answer may have a lot to do with mitochondria, the organelles that supply cells with energy. Though that idea is not new, direct evidence in human cells had been lacking. Until now.

In a study published Jan. 12 in Communications Biology, a team led by Columbia University researchers has discovered that human cells with impaired mitochondria respond by kicking into higher gear and expending more energy. While this adaptation—called hypermetabolism—enhances the cells’ short-term survival, it comes at a high cost: a dramatic increase in the rate at which the cells age.

“The findings were made in cells from patients with rare mitochondrial diseases, yet they may also have relevance for other conditions that affect mitochondria, including neurodegenerative diseases, inflammatory conditions, and infections,” says principal investigator Martin Picard, PhD, associate professor of behavioral medicine (in psychiatry and neurology) at Columbia University Vagelos College of Physicians and Surgeons.

Blood Test #7 in 2022: Diet Composition

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An epigenetic mechanism for over-consolidation of fear memories

Excessive fear is a hallmark of anxiety disorders, a major cause of disease burden worldwide. Substantial evidence supports a role of prefrontal cortex-amygdala circuits in the regulation of fear and anxiety, but the molecular mechanisms that regulate their activity remain poorly understood. Here, we show that downregulation of the histone methyltransferase PRDM2 in the dorsomedial prefrontal cortex enhances fear expression by modulating fear memory consolidation. We further show that Prdm2 knock-down (KD) in neurons that project from the dorsomedial prefrontal cortex to the basolateral amygdala (dmPFC-BLA) promotes increased fear expression. Prdm2 KD in the dmPFC-BLA circuit also resulted in increased expression of genes involved in synaptogenesis, suggesting that Prdm2 KD modulates consolidation of conditioned fear by modifying synaptic strength at dmPFC-BLA projection targets.

Researchers create microbattery that could power insect-sized robots

The battery resolves a longstanding technological issue that no other battery design has ever addressed.

Micro batteries have the incredible potential to power microdevices, microrobots, and implantable medical devices. However, up to recently they have not been very efficient as they lacked power.

Unlocking the potential of smaller devices.


Alex David Jerez Roman, Beckman institute, UIUC

Now, the University of Illinois Urbana-Champaign researchers has created a high-voltage microbattery unparalleled by any existing battery design, according to a press release by the institution published on Thursday.

Machine learning method improves cell identity understanding

When genes are activated and expressed, they show patterns in cells that are similar in type and function across tissues and organs. Discovering these patterns improves our understanding of cells—which has implications for unveiling disease mechanisms.

The advent of spatial transcriptomics technologies has allowed researchers to observe gene expression in their spatial context across entire tissue samples. But new computational methods are needed to make sense of this data and help identify and understand these .

A research team led by Jian Ma, the Ray and Stephanie Lane Professor of Computational Biology in Carnegie Mellon University’s School of Computer Science, has developed a machine learning tool to fill this gap. Their paper on the method, called SPICEMIX, appeared as the cover story in the most recent issue of Nature Genetics.