Vasopressin: Predicting changes in osmolality
The balance between water and solutes in our blood, known as osmolality, must be tightly controlled for our bodies to work properly. Both eating and drinking have profound effects on osmolality in our body. For example, after several bites of food the brain rapidly triggers a feeling of thirst to increase our uptake of water (Leib et al., 2017; Matsuda et al., 2017). In addition, when fluid balance is disturbed, the brain releases a hormone called vasopressin that travels to the kidneys to reduce the excretion of water (Geelen et al., 1984; Thrasher et al., 1981). While much is known about how the brain controls drinking behavior, it is less clear how it regulates the hormonal response.
Vasopressin is primarily secreted by Arginine-vasopressin (AVP) neurons in the supraoptic and paraventricular nucleus of the hypothalamus. These neurons not only respond to actual disturbances in water balance, but also anticipate future osmotic changes that occur after eating and drinking. In 2017, a group of researchers discovered that AVP neurons respond to food and water by rapidly decreasing or increasing their activity, respectively, before there are any detectable changes in osmolality (Mandelblat-Cerf et al., 2017). Now, in eLife, researchers from Harvard Medical School – including Angela Kim as first author and corresponding author Bradford Lowell – report the neural pathways underlying this drinking- and feeding-induced regulation of vasopressin (Kim et al., 2021).
AVP neurons receive signals from the lamina terminalis, a brain structure that detects changes in osmolality and modulates thirst and water retention (McKinley, 2003). Using virus tracing techniques, the team (which includes some of the researchers involved in the 2017 study) mapped neurons in the lamina terminalis that are directly connected to AVP neurons in mice. This revealed that excitatory and inhibitory neurons in two regions of the lamina terminalis (called MnPO and OVLT) send direct inputs to AVP neurons.
Kim et al. then examined whether these neurons in the lamina terminalis responded to drinking and water-predicting cues (such as seeing a bowl of water being placed down; Figure 1). Excitatory neurons that drive thirst and stimulate vasopressin release were rapidly suppressed by both drinking and water-predictive cues before there were any detectable changes in blood osmolality. Conversely, inhibitory neurons showed the opposite response, and were activated following bowl placement and water consumption. This suggests that excitatory and inhibitory neurons in the lamina terminalis help anticipate future osmotic changes by reducing the activity of AVP neurons in response to drinking and water-predictive cues.
Further experiments showed that food intake – but not food-predicting cues – stimulates AVP neurons to release vasopressin prior to an increase in blood osmolality. However, Kim et al. found that neurons in the lamina terminalis are unlikely to be involved in this process, as they did not respond to food consumption as quickly as AVP neurons. Instead, they discovered that these feeding-induced signals came from an undefined neuronal population in the arcuate nucleus, the hunger center in the brain that houses the neurons that promote and inhibit feeding (Figure 1; Atasoy et al., 2012). Unlike other neurons involved in hunger, these cells did not appear to respond to food-predicting cues. Molecular data on the different cell types in the arcuate nucleus could be used to identify this new population, potentially revealing a new hunger-related neural mechanism (Campbell et al., 2017).
Taken together, the findings of Kim et al. reveal that eating and drinking alter the activity of AVP neurons via two distinct neural circuits (Figure 1). There are, however, a few limitations to this study. For instance, the regulation of lamina terminalis neurons and vasopressin is inseparable. Indeed, manipulation of the lamina terminalis neurons inevitably changes thirst drive, water intake and the activity of AVP neurons. This makes it difficult to pinpoint the source of predictive signals in AVP neurons.
Another question has to do with the physiological significance of the anticipatory regulation of lamina terminalis neurons and AVP neurons. If water-predicting cues suppress excitatory neurons in the lamina terminalis, how does the brain maintain the desire to drink? This issue is particularly important for the thirst system since thirst-driving neurons can have acute effects on drinking behavior (Augustine et al., 2020). It is possible that the lamina terminalis regulates thirst and vasopressin secretion through different populations of neurons. Future work could investigate if the neurons directly connected to AVP neurons are different to the ones that drive thirst. Identifying the individual components of the behavioral and hormonal response may provide new insights into how the brain regulates the uptake and excretion of fluids.
References
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A molecular census of arcuate hypothalamus and median eminence cell typesNature Neuroscience 20:484–496.https://doi.org/10.1038/nn.4495
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Inhibition of plasma vasopressin after drinking in dehydrated humansThe American Journal of Physiology 247:R968–R971.https://doi.org/10.1152/ajpregu.1984.247.6.R968
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The sensory circumventricular organs of the mammalian brainAdvances in Anatomy, Embryology, and Cell Biology 172:1–122.https://doi.org/10.1007/978-3-642-55532-9
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Satiety and inhibition of vasopressin secretion after drinking in dehydrated dogsThe American Journal of Physiology 240:E394–E401.https://doi.org/10.1152/ajpendo.1981.240.4.E394
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© 2021, Yang et al.
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Alcohol use disorder (AUD) is a global health problem with limited therapeutic options. The biochemical mechanisms that lead to this disorder are not yet fully understood, and in this respect, metabolomics represents a promising approach to decipher metabolic events related to AUD. The plasma metabolome contains a plethora of bioactive molecules that reflects the functional changes in host metabolism but also the impact of the gut microbiome and nutritional habits.
Methods:
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Results:
We found that the plasma levels of different lipids ((lyso)phosphatidylcholines, long-chain fatty acids), short-chain fatty acids (i.e. 3-hydroxyvaleric acid) and bile acids were altered in sAUD patients. In addition, several microbial metabolites, including indole-3-propionic acid, p-cresol sulfate, hippuric acid, pyrocatechol sulfate, and metabolites belonging to xanthine class (paraxanthine, theobromine and theophylline) were sensitive to alcohol exposure and alcohol withdrawal. 3-Hydroxyvaleric acid, caffeine metabolites (theobromine, paraxanthine, and theophylline) and microbial metabolites (hippuric acid and pyrocatechol sulfate) were correlated with anxiety, depression and alcohol craving. Metabolomics analysis in postmortem samples of frontal cortex and cerebrospinal fluid of those consuming a high level of alcohol revealed that those metabolites can be found also in brain tissue.
Conclusions:
Our data allow the identification of neuroactive metabolites, from interactions between food components and microbiota, which may represent new targets arising in the management of neuropsychiatric diseases such as sAUD.
Funding:
Gut2Behave project was initiated from ERA-NET NEURON network (Joint Transnational Call 2019) and was financed by Academy of Finland, French National Research Agency (ANR-19-NEUR-0003-03) and the Fonds de la Recherche Scientifique (FRS-FNRS; PINT-MULTI R.8013.19, Belgium). Metabolomics analysis of the TSDS samples was supported by grant from the Finnish Foundation for Alcohol Studies.