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A gut-brain neural circuit controlled by intestinal gluconeogenesis is crucial in metabolic health.

ABSTRACT: OBJECTIVES: Certain nutrients positively regulate energy homeostasis via intestinal gluconeogenesis (IGN). The objective of this study was to evaluate the impact of a deficient IGN in glucose control independently of nutritional environment. METHODS: We used mice deficient in the intestine glucose-6 phosphatase catalytic unit, the key enzyme of IGN (I-G6pc (-/-) mice). We evaluated a number of parameters involved in energy homeostasis, including insulin sensitivity (hyperinsulinemic euglycaemic clamp), the pancreatic function (insulin secretion in vivo and in isolated islets) and the hypothalamic homeostatic function (leptin sensitivity). RESULTS: Intestinal-G6pc (-/-) mice exhibit slight fasting hyperglycaemia and hyperinsulinemia, glucose intolerance, insulin resistance and a deteriorated pancreatic function, despite normal diet with no change in body weight. These defects evoking type 2 diabetes (T2D) derive from the basal activation of the sympathetic nervous system (SNS). They are corrected by treatment with an inhibitor of ?-2 adrenergic receptors. Deregulation in a key target of IGN, the homeostatic hypothalamic function (highlighted here through leptin resistance) is a mechanistic link. Hence the leptin resistance and metabolic disorders in I-G6pc (-/-) mice are corrected by rescuing IGN by portal glucose infusion. Finally, I-G6pc (-/-) mice develop the hyperglycaemia characteristic of T2D more rapidly under high fat/high sucrose diet. CONCLUSIONS: Intestinal gluconeogenesis is a mandatory function for the healthy neural control of glucose homeostasis.

SUBMITTER: Soty M

PROVIDER: S-EPMC4314540 | biostudies-other | 2015 Feb

REPOSITORIES: biostudies-other

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A gut-brain neural circuit controlled by intestinal gluconeogenesis is crucial in metabolic health.

Soty Maud M Penhoat Armelle A Amigo-Correig Marta M Vinera Jennifer J Sardella Anne A Vullin-Bouilloux Fanny F Zitoun Carine C Houberdon Isabelle I Mithieux Gilles G

Molecular metabolism 20141226 2

<h4>Objectives</h4>Certain nutrients positively regulate energy homeostasis via intestinal gluconeogenesis (IGN). The objective of this study was to evaluate the impact of a deficient IGN in glucose control independently of nutritional environment.<h4>Methods</h4>We used mice deficient in the intestine glucose-6 phosphatase catalytic unit, the key enzyme of IGN (I-G6pc (-/-) mice). We evaluated a number of parameters involved in energy homeostasis, including insulin sensitivity (hyperinsulinemic ...[more]

PMID: 25685698

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Project description:Probabilistic inference offers a principled framework for understanding both behaviour and cortical computation. However, two basic and ubiquitous properties of cortical responses seem difficult to reconcile with probabilistic inference: neural activity displays prominent oscillations in response to constant input, and large transient changes in response to stimulus onset. Indeed, cortical models of probabilistic inference have typically either concentrated on tuning curve or receptive field properties and remained agnostic as to the underlying circuit dynamics, or had simplistic dynamics that gave neither oscillations nor transients. Here we show that these dynamical behaviours may in fact be understood as hallmarks of the specific representation and algorithm that the cortex employs to perform probabilistic inference. We demonstrate that a particular family of probabilistic inference algorithms, Hamiltonian Monte Carlo (HMC), naturally maps onto the dynamics of excitatory-inhibitory neural networks. Specifically, we constructed a model of an excitatory-inhibitory circuit in primary visual cortex that performed HMC inference, and thus inherently gave rise to oscillations and transients. These oscillations were not mere epiphenomena but served an important functional role: speeding up inference by rapidly spanning a large volume of state space. Inference thus became an order of magnitude more efficient than in a non-oscillatory variant of the model. In addition, the network matched two specific properties of observed neural dynamics that would otherwise be difficult to account for using probabilistic inference. First, the frequency of oscillations as well as the magnitude of transients increased with the contrast of the image stimulus. Second, excitation and inhibition were balanced, and inhibition lagged excitation. These results suggest a new functional role for the separation of cortical populations into excitatory and inhibitory neurons, and for the neural oscillations that emerge in such excitatory-inhibitory networks: enhancing the efficiency of cortical computations.

Dataset Information

A gut-brain neural circuit controlled by intestinal gluconeogenesis is crucial in metabolic health.

Publications

A gut-brain neural circuit controlled by intestinal gluconeogenesis is crucial in metabolic health.

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