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Tang Q, Godschall E, Brennan CD, Zhang Q, Abraham-Fan RJ, Williams SP, Güngül TB, Onoharigho R, Buyukaksakal A, Salinas R, Sajonia IR, Olivieri JJ, Calhan OY, Deppmann CD, Campbell JN, Podyma B, Güler AD. Leptin receptor neurons in the dorsomedial hypothalamus input to the circadian feeding network. SCIENCE ADVANCES 2023; 9:eadh9570. [PMID: 37624889 PMCID: PMC10456850 DOI: 10.1126/sciadv.adh9570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 07/25/2023] [Indexed: 08/27/2023]
Abstract
Salient cues, such as the rising sun or availability of food, entrain biological clocks for behavioral adaptation. The mechanisms underlying entrainment to food availability remain elusive. Using single-nucleus RNA sequencing during scheduled feeding, we identified a dorsomedial hypothalamus leptin receptor-expressing (DMHLepR) neuron population that up-regulates circadian entrainment genes and exhibits calcium activity before an anticipated meal. Exogenous leptin, silencing, or chemogenetic stimulation of DMHLepR neurons disrupts the development of molecular and behavioral food entrainment. Repetitive DMHLepR neuron activation leads to the partitioning of a secondary bout of circadian locomotor activity that is in phase with the stimulation and dependent on an intact suprachiasmatic nucleus (SCN). Last, we found a DMHLepR neuron subpopulation that projects to the SCN with the capacity to influence the phase of the circadian clock. This direct DMHLepR-SCN connection is well situated to integrate the metabolic and circadian systems, facilitating mealtime anticipation.
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Affiliation(s)
- Qijun Tang
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Elizabeth Godschall
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Charles D. Brennan
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Qi Zhang
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | | | - Sydney P. Williams
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Taha Buğra Güngül
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Roberta Onoharigho
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Aleyna Buyukaksakal
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Ricardo Salinas
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Isabelle R. Sajonia
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Joey J. Olivieri
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - O. Yipkin Calhan
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Christopher D. Deppmann
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
- Program in Fundamental Neuroscience, Charlottesville, VA 22904, USA
- Department of Cell Biology, University of Virginia, Charlottesville, VA 22904, USA
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22904, USA
- Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - John N. Campbell
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
- Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Brandon Podyma
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
- Medical Scientist Training Program, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Ali D. Güler
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
- Program in Fundamental Neuroscience, Charlottesville, VA 22904, USA
- Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
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Tang Q, Godschall E, Brennan CD, Zhang Q, Abraham-Fan RJ, Williams SP, Güngül TB, Onoharigho R, Buyukaksakal A, Salinas R, Olivieri JJ, Deppmann CD, Campbell JN, Podyma B, Güler AD. A leptin-responsive hypothalamic circuit inputs to the circadian feeding network. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.24.529901. [PMID: 36865258 PMCID: PMC9980144 DOI: 10.1101/2023.02.24.529901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2023]
Abstract
Salient cues, such as the rising sun or the availability of food, play a crucial role in entraining biological clocks, allowing for effective behavioral adaptation and ultimately, survival. While the light-dependent entrainment of the central circadian pacemaker (suprachiasmatic nucleus, SCN) is relatively well defined, the molecular and neural mechanisms underlying entrainment associated with food availability remains elusive. Using single nucleus RNA sequencing during scheduled feeding (SF), we identified a leptin receptor (LepR) expressing neuron population in the dorsomedial hypothalamus (DMH) that upregulates circadian entrainment genes and exhibits rhythmic calcium activity prior to an anticipated meal. We found that disrupting DMHLepR neuron activity had a profound impact on both molecular and behavioral food entrainment. Specifically, silencing DMHLepR neurons, mis-timed exogenous leptin administration, or mis-timed chemogenetic stimulation of these neurons all interfered with the development of food entrainment. In a state of energy abundance, repetitive activation of DMHLepR neurons led to the partitioning of a secondary bout of circadian locomotor activity that was in phase with the stimulation and dependent on an intact SCN. Lastly, we discovered that a subpopulation of DMHLepR neurons project to the SCN with the capacity to influence the phase of the circadian clock. This leptin regulated circuit serves as a point of integration between the metabolic and circadian systems, facilitating the anticipation of meal times.
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Affiliation(s)
- Qijun Tang
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Elizabeth Godschall
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Charles D. Brennan
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Qi Zhang
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | | | - Sydney P. Williams
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Taha Buğra Güngül
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Roberta Onoharigho
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Aleyna Buyukaksakal
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Ricardo Salinas
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Joey J. Olivieri
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Christopher D. Deppmann
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
- Program in Fundamental Neuroscience, Charlottesville, VA 22904, USA
- Department of Cell Biology, University of Virginia, Charlottesville, VA, 22904, USA
- Department Biomedical Engineering, University of Virginia, Charlottesville, VA, 22904, USA
- Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - John N. Campbell
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
- Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Brandon Podyma
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
- Medical Scientist Training Program, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Ali D. Güler
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
- Program in Fundamental Neuroscience, Charlottesville, VA 22904, USA
- Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
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Watts AG, Kanoski SE, Sanchez-Watts G, Langhans W. The physiological control of eating: signals, neurons, and networks. Physiol Rev 2022; 102:689-813. [PMID: 34486393 PMCID: PMC8759974 DOI: 10.1152/physrev.00028.2020] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 08/30/2021] [Indexed: 02/07/2023] Open
Abstract
During the past 30 yr, investigating the physiology of eating behaviors has generated a truly vast literature. This is fueled in part by a dramatic increase in obesity and its comorbidities that has coincided with an ever increasing sophistication of genetically based manipulations. These techniques have produced results with a remarkable degree of cell specificity, particularly at the cell signaling level, and have played a lead role in advancing the field. However, putting these findings into a brain-wide context that connects physiological signals and neurons to behavior and somatic physiology requires a thorough consideration of neuronal connections: a field that has also seen an extraordinary technological revolution. Our goal is to present a comprehensive and balanced assessment of how physiological signals associated with energy homeostasis interact at many brain levels to control eating behaviors. A major theme is that these signals engage sets of interacting neural networks throughout the brain that are defined by specific neural connections. We begin by discussing some fundamental concepts, including ones that still engender vigorous debate, that provide the necessary frameworks for understanding how the brain controls meal initiation and termination. These include key word definitions, ATP availability as the pivotal regulated variable in energy homeostasis, neuropeptide signaling, homeostatic and hedonic eating, and meal structure. Within this context, we discuss network models of how key regions in the endbrain (or telencephalon), hypothalamus, hindbrain, medulla, vagus nerve, and spinal cord work together with the gastrointestinal tract to enable the complex motor events that permit animals to eat in diverse situations.
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Affiliation(s)
- Alan G Watts
- The Department of Biological Sciences, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California
| | - Scott E Kanoski
- The Department of Biological Sciences, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California
| | - Graciela Sanchez-Watts
- The Department of Biological Sciences, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California
| | - Wolfgang Langhans
- Physiology and Behavior Laboratory, Eidgenössische Technische Hochschule-Zürich, Schwerzenbach, Switzerland
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Food anticipatory circadian rhythms in mice entrained to long or short day photoperiods. Physiol Behav 2020; 222:112939. [PMID: 32407832 DOI: 10.1016/j.physbeh.2020.112939] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 04/03/2020] [Accepted: 04/23/2020] [Indexed: 11/21/2022]
Abstract
Food anticipatory activity (FAA) rhythms that emerge in nocturnal rodents fed once daily are mediated by food-entrainable circadian oscillators (FEOs) located outside of the suprachiasmatic nucleus (SCN), the site of a circadian pacemaker required for entrainment to daily light-dark (LD) cycles. Specification of the neural and molecular substrates of FEOs driving FAA is complicated by homeostatic, hedonic and environmental factors that can modulate expression of activity independent of circadian timing. Here, we examined the effect of photoperiod (duration of the daily light period) on FAA in mice fed during the last 4 h or middle 4 h of the light period for at least 5 weeks. Long photoperiods decrease SCN pacemaker amplitude, which may favor expression of FAA during the day, when the SCN normally opposes activity in nocturnal rodents. To test this prediction, in Experiment 1, mice housed with or without running discs were entrained to 24 h LD cycles with 8 h (L8) or 16 h (L16) photoperiods. When food was restricted to the last 4 h of the light period (late-day), mice housed with running discs showed more FAA in L16, whereas mice without running discs showed more FAA in L8. In Experiment 2, mice were entrained to L8 or L16 photoperiods, and the 4 h daily meal was centered in the light period (mid-day). FAA was decreased relative to late-day fed mice, but did not vary by photoperiod. In Experiment 3, mice with or without running discs were entrained to L12 or L18 photoperiods, with mealtime centered in the light period. FAA again did not differ between photoperiods. In constant dark (DD) prior to food restriction, the period (τ) of free-running rhythms was shorter in mice entrained to long days. This known after-effect of photoperiod on τ was absent in DD immediately following restricted feeding. The phase of LD entrainment, unmasked on the first day of DD with food ad-libitum, was significantly advanced in mice from the late-day feeding schedule, compared to mice from the mid-day schedules. These results indicate that FAA in mice does not vary systematically with photoperiod, possibly because daytime feeding schedules attenuate the effect of photoperiod on the mouse SCN pacemaker. FAA in the present study was more strongly influenced by running disc availability and by meal time within the light period, possibly due to effects on LD entrainment, which was phase advanced by late-day but not midday feeding.
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Zhu J, Wan Y, Xu H, Wu Y, Hu B, Jin H. The role of endogenous tissue-type plasminogen activator in neuronal survival after ischemic stroke: friend or foe? Cell Mol Life Sci 2019; 76:1489-1506. [PMID: 30656378 PMCID: PMC11105644 DOI: 10.1007/s00018-019-03005-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 12/19/2018] [Accepted: 01/03/2019] [Indexed: 12/29/2022]
Abstract
Endogenous protease tissue-type plasminogen activator (tPA) has highly efficient fibrinolytic activity and its recombinant variants alteplase and tenecteplase are established as highly effective thrombolytic drugs for ischemic stroke. Endogenous tPA is constituted of five functional domains through which it interacts with a variety of substrates, binding proteins and receptors, thus having enzymatic and cytokine-like effects to act on all cell types of the brain. In the past 2 decades, numerous studies have explored the clinical relevance of endogenous tPA in neurological diseases, especially in ischemic stroke. tPA is released from many cells within the brain parenchyma exposed to ischemia conditions in vitro and in vivo, which is believed to control neuronal fate. Some studies proved that tPA could induce blood-brain barrier disruption, neural excitotoxicity and inflammation, while others indicated that tPA also has anti-excitotoxic, neurotrophic and anti-apoptotic effects on neurons. Therefore, more work is needed to elucidate how tPA mediates such opposing functions that may amplify tPA from a therapeutic means into a key therapeutic target in endogenous neuroprotection after stroke. In this review, we summarize the biological characteristics and pleiotropic functions of tPA in the brain. Then we focus on possible hypotheses about why and how endogenous tPA mediates ischemic neuronal death and survival. Finally, we analyze how endogenous tPA affects neuron fate in ischemic stroke in a comprehensive view.
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Affiliation(s)
- Jiayi Zhu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China
| | - Yan Wan
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China
| | - Hexiang Xu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China
| | - Yulang Wu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China
| | - Bo Hu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China.
| | - Huijuan Jin
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China.
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Reichenbach A, Mequinion M, Bayliss JA, Lockie SH, Lemus MB, Mynatt RL, Stark R, Andrews ZB. Carnitine Acetyltransferase in AgRP Neurons Is Required for the Homeostatic Adaptation to Restricted Feeding in Male Mice. Endocrinology 2018; 159:2473-2483. [PMID: 29697769 PMCID: PMC6692886 DOI: 10.1210/en.2018-00131] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 04/19/2018] [Indexed: 12/14/2022]
Abstract
Behavioral adaptation to periods of varying food availability is crucial for survival, and agouti-related protein (AgRP) neurons have been associated with entrainment to temporal restricted feeding. We have shown that carnitine acetyltransferase (Crat) in AgRP neurons enables metabolic flexibility and appropriate nutrient partitioning. In this study, by restricting food availability to 3 h/d during the light phase, we examined whether Crat is a component of a food-entrainable oscillator (FEO) that helps link behavior to food availability. AgRP Crat knockout (KO) mice consumed less food and regained less body weight but maintained blood glucose levels during the 25-day restricted feeding protocol. Importantly, we observed no difference in meal latency, food anticipatory activity (FAA), or brown adipose tissue temperature during the first 13 days of restricted feeding. However, as the restricted feeding paradigm progressed, we noticed an increased FAA in AgRP Crat KO mice. The delayed increase in FAA, which developed during the last 12 days of restricted feeding, corresponded with elevated plasma levels of corticosterone and nonesterified fatty acids, indicating it resulted from greater energy debt incurred by KO mice over the course of the experiment. These experiments highlight the importance of Crat in AgRP neurons in regulating feeding behavior and body weight gain during restricted feeding but not in synchronizing behavior to food availability. Thus, Crat within AgRP neurons forms a component of the homeostatic response to restricted feeding but is not likely to be a molecular component of FEO.
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Affiliation(s)
- Alex Reichenbach
- Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
- Department of Physiology, Monash University, Clayton, Victoria, Australia
| | - Mathieu Mequinion
- Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
- Department of Physiology, Monash University, Clayton, Victoria, Australia
| | - Jacqueline A Bayliss
- Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
- Department of Physiology, Monash University, Clayton, Victoria, Australia
| | - Sarah H Lockie
- Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
- Department of Physiology, Monash University, Clayton, Victoria, Australia
| | - Moyra B Lemus
- Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
- Department of Physiology, Monash University, Clayton, Victoria, Australia
| | - Randall L Mynatt
- Gene Nutrient Interactions Laboratory, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana
- Transgenic Core Facility, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana
| | - Romana Stark
- Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
- Department of Physiology, Monash University, Clayton, Victoria, Australia
| | - Zane B Andrews
- Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
- Department of Physiology, Monash University, Clayton, Victoria, Australia
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