Abusive drugs hijack natural reward system


Researchers have uncovered a mechanism in the brain that allows cocaine and morphine to take over natural reward processing systems. Published in Science, these findings shed new light on the neural underpinnings of drug addiction and could offer new mechanistic insights to inform basic research, clinical practice, and potential therapeutic solutions.

“While this field has been explored for decades, our study is the first to demonstrate that psychostimulants and opioidsengage and alter functioning of the same brain cells that are responsible for processing natural rewards,” explains the senior author. “These findings provide an explanation for how these drugs can  interfere with normal brain function and how that interference becomes magnified with increasing drug exposure to ultimately redirect behavior compulsively towards drugs —a hallmark of addiction pathology.”

The study focused on identifying convergent mechanisms of addiction in mouse models across two different classes of drugs: cocaine, a psychostimulant, and morphine, an opioid. The team employed a suite of cutting-edge tools and methodologies spanning behavioral, circuit, cellular, and molecular domains of neuroscience.

Through these innovative efforts, researchers were able to track how individual neurons in a forebrain region called the nucleus accumbens respond to natural rewards like food and water, as well as to acute and repeated exposure to cocaine and morphine in a cell-type-specific manner. They discovered a largely overlapping population of cells that respond to both  addictive drugs and natural rewards, and demonstrated that repeated exposure to the drugs progressively disrupts the cells’ ability to function normally, resulting in behavior being directed toward drug-seeking and away from natural rewards.

“By tracking these cells, we show that not only are similar cells activated across reward classes, but also that cocaine and morphine  elicit initially stronger responses than food or water, and this actually magnifies with increasing exposure,” notes a co-first author. “After withdrawal from the drugs, these same cells exhibit disorganized responses to natural rewards in a manner that may resemble some of the negative affective states seen in withdrawal in substance use disorder.”

Moreover, the research team identified a well-established intracellular signaling pathway—mTORC1—that facilitates the disruption of natural reward processing by the drugs. As part of that discovery, investigators found a gene (Rheb) that encodes an activator of the mTORC1 pathway that may mediate this relationship, potentially providing a novel therapeutic target for future discovery in a field of medicine that currently offers few effective treatments.

To that end, the research team plans to dig deeper into the cellular biology behind addiction neuroscience to better characterize molecular pathways that could be critical to basic research and, eventually, clinical practice.

“Through our work we have also established a landmark dataset that integrates drug-induced brain-wide neural activation with input circuit mapping from the nucleus accumbens, which could be useful to the broad scientific community conducting substance use disorder research,” says a co-first author of the study.

“We’ve known for decades that natural rewards, like food, and addictive drugs can activate the same brain region,” says the senior author. “But what we’ve just learned is that they impact neural activity in strikingly different ways. One of the big takeways here is that addictive drugs have pathologic effects on these neural pathways, that are distinct from, say, the physiologic response to eating a meal when you are hungry or drinking a glass of water when you are thirsty."

“A major part of our ongoing research will be directed to defining how the flow of multimodal information is incorporated into value computations in brain cells and how that crucial mechanism enables drugs to overtake the processing of natural rewards, leading to addiction,” says the author.

https://www.science.org/doi/10.1126/science.adk6742

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