Xiaoxi Zhuang


Department of Neurobiology

The University of Chicago
947 E. 58th St., MC0926
Chicago, IL 60637 

Email: xzhuang@bsd.uchicago.edu
Phone: (773) 834-9063
Office: Jules Knapp Research Building, Room 214


Research Summary

We investigate the molecular machinery for information processing that underlies reward learning, motivation, economic decision making and motor control. Our main approaches include mouse genetics, fly genetics, electrophysiology, computational models and animal learning paradigms.

Research Description

1. The role of dopamine in reward and reward-dependent behavioral modification

Animal behaviors can be largely modified by reward/punishment histories. Understanding the neurobiological basis of reward learning, motivation and response selection is a critical step in understanding many mental disorders such as addiction and depression as well as the behavioral aspects of obesity, and in developing novel therapies. We are focusing on the role of tonic versus phasic dopamine, the corresponding postsynaptic signaling pathways and corticostriatal plasticity in the above processes.

Our earlier findings indicate the role of distinct dopamine signaling in reinforcement learning and exploration-exploitation choice bias. As an extension of the above research, how do reward learning and economic decision making ultimately affect fitness? In a natural environment, these behaviors are critical for maximizing rewards/gains and minimizing risks/losses and for survival. We are investigating these more complex behaviors (e.g foraging) in a semi-natural environment and how genetic variations may affect fitness in this context.  We take advantage of microeconomic analysis of feeding behavior, combining mouse genetics and fly genetics. Fly genetics allows us to search for genes that confer energy conservation traits while mouse genetics allows us to examine the neurobiological basis rigorously and provides the relevance to human conditions.

2. The role of dopamine in motor learning and motor performance

In parallel to studies on the role of mesolimbic dopamine in reward learning and response selection, another focus of the lab is on the role of nigrostriatal dopamine, the corresponding postsynaptic signaling pathways and corticostriatal plasticity in motor learning and motor performance, in particular, in the context of Parkinson’s disease symptoms and therapies.

In the nigrostriatal pathway, dopamine modulates the intrinsic excitability of striatal neurons. However, it also modulates corticostriatal plasticity, potentially producing cumulative and long-lasting changes in motor performance. Our findings indicate that loss of dopamine leads to both direct motor performance impairments as well as D2 receptor-dependent and task-dependent “learned” motor inhibition that gradually and cumulatively deteriorates motor performance. We hypothesize that such “learned” motor inhibition is accompanied by increased LTP in the indirect pathway corticostriatal synapses. We are using a number of approaches to reduce such LTP as a novel therapeutic strategy for Parkinson’s disease.

3. The biochemical basis of dopamine neuron degeneration in Parkinson's disease

Parkinson's disease is caused by progressive loss of dopamine neurons. Its biochemical basis is poorly understood. Our earlier studies using transgenic mice indicate that dopamine itself can cause oxidative stress. We hypothesize that under normal conditions, dopamine neurons are able to handle such cellular stress. However, in aged animals or in animals with genetic defects, dopamine neurons may die when protective mechanisms are impaired (e.g. defects in protein folding and/or protein degradation pathways). We have recently developed a novel positive feedback gene amplification system to overexpress genes specifically in dopamine neurons. Such an approach has allowed us to mimic human genetic mutations with dominant inheritance and develop Parkinson’s disease models with severe mitochondria pathology and progressive dopamine neuron degeneration. We are using these models to test the above hypotheses.


Select Publications

Pecina S., Cagniard B., Berridge K.C., Aldridge J.W. & Zhuang X. (2003) Hyperdopaminergic mutant mice have higher 'wanting' but not 'liking' for sweet rewards. J. Neurosci. 23, 9395-9402.

Zhuang X., Masson J., Gingrich J.A., Rayport S. & Hen R. (2005) Targeted gene expression in dopamine and serotonin neurons of the mouse brain. J. Neurosci. Methods. 143, 27-32.

Chen L., Cagniard B., Mathews T., Jones S., Koh H.C., Ding Y., Carvey P.M., Ling Z., Kang U.J. & Zhuang X. (2005) Age-dependent motor deficits and dopaminergic dysfunction in DJ-1 null mice. J. Biol. Chem. 22, 21418-21426.

Cagniard B., Beeler J.A., Britt J.P., McGehee D.S., Marinelli M. & Zhuang X. (2006) Dopamine scales performance in the absence of new learning. Neuron 51, 541-547.

Sanders A.C., Hussain A.J., Hen R., & Zhuang X. (2007) Chronic blockade or constitutive deletion of the serotonin transporter reduces operant responding for food reward. Neuropsychopharm. 32, 2321-9

Chen L., Ding Y., Cagniard B., Van Laar A.D., Mortimer A., Chi W., Hastings T.G., Kang U.J. & Zhuang X. (2008) Unregulated cytosolic dopamine causes neurodegeneration associated with oxidative stress in mice. J. Neurosci. 28, 425-33

Kheirbek M.A., Beeler J.A., Ishikawa Y. & Zhuang X. (2008) A cyclic AMP pathway underlying reward prediction in associative learning. J. Neurosci 28, 11401-11408

Kheirbek M., Britt J.P., Beeler J.A., Ishikawa Y., McGehee D.S. & Zhuang X. (2009) Adenylyl cyclase type 5 contributes to corticostriatal plasticity and striatum-dependent learning. J. Neurosci, 29, 12115-12124

Kheirbek M.A., Beeler J.A., Chi W., Ishikawa Y. & Zhuang X. (2010) A molecular dissociation between cued and contextual appetitive learning. Learning and Memory, 17, 148-154

Beeler J.A., Cao Z.F.H., Kheirbek M.A., Ding Y., Koranda J., Murakami M., Kang U.J. & Zhuang X. (2010) Dopamine-dependent motor learning: Insight into L-dopa's long-duration response. Ann Neurol, 67, 639-647

Beeler J.A., Daw N.D., Frazier C.R.M. & Zhuang X. (2010) Tonic dopamine modulates exploitation of reward learning. Frontiers in Behavioral Neuroscience 4, 170

Beeler J.A., McCutcheon J.E., Cao Z.F.H., Murakami M., Alexander, E. Roitman M.F. & Zhuang X. (2012) Taste uncoupled from nutrition fails to sustain the reinforcing properties of food. Eur. J. Neurosci. 36, 2533-46

Beeler J.A., Frazier C.R. & Zhuang X. (2012) Putting desire on a budget: Dopamine and energy expenditure, reconciling reward and resources. Frontiers in Integrative Neuroscience 6, 49.

Beeler J.A., Frank M.J., McDaid J., Alexander, E., Turkson S., Sol Bernandez M., McGehee D.S., & Zhuang X. (2012) A role for dopamine-mediated learning in the pathophysiology and treatment of Parkinson's disease. Cell Reports 2, 1747-61.

Zhuang X, Mazzoni P, Kang UJ (2013) The role of neuroplasticity in dopaminergic therapy of Parkinson’s disease. Nature Reviews Neurology, 9, 248-56.

Koranda J.L., Cone J.J., McGehee D.S., Roitman M.F. Beeler J.A. & Zhuang X. (2014) Nicotinic receptors regulate the dynamic range of dopamine release in vivo. J Neurophysiol. 111, 103-11.

Augustin S.M., Beeler J.A., McGehee D.S. & Zhuang X. (2014) Cyclic AMP and afferent activity govern bidirectional synaptic plasticity in striatopallidal neurons. J. Neurosci. 34, 6692– 9

Chi W., Zhang L., Du W. & Zhuang X. (2014) A nutritional conditional lethal mutant due to pyridoxine 5’-phosphate oxidase deficiency in Drosophila melanogaster. Genes, Genomes, Genetics. 4,1147-54

Chen L., Xie Z., Turkson S. & Zhuang X. (2015) A53T human α-synuclein overexpression in transgenic mice induces pervasive mitochondria macroautophagy defects preceding dopamine neuron degeneration. J. Neurosci. 35, 890 –905

Beeler J.A., Faust R.P., Turkson S., Ye H. & Zhuang X. (2015) Low Dopamine D2 Receptor IncreasesVulnerability to Obesity Via Reduced Physical Activity Not Increased Appetitive Motivation. Biological Psychiatry, In press, Beeler Biol Psychiatry 2015.pdf

Koranda J.L., Krok A.C., Xu J., Contractor A., McGehee D., Beeler J.A. & Zhuang X. (2016) Chronic nicotine mitigates aberrant inhibitory motor learning induced by motor experience under dopamine deficiency J. Neurosci. 36, 5228 –5240. Koranda JNS 2016.pdf