Abstract
Objective
Dietary proteins are sensed by hypothalamic neurons and strongly influence multiple aspects of metabolic health, including appetite, weight gain, and adiposity. However, little is known about the mechanisms by which hypothalamic neural circuits controlling behavior and metabolism sense protein availability. The aim of this study is to characterize how neurons from the mediobasal hypothalamus respond to a signal of protein availability: the amino acid l-leucine.
Methods
We used primary cultures of post-weaning murine mediobasal hypothalamic neurons, hypothalamic neurons derived from human induced pluripotent stem cells, and calcium imaging to characterize rapid neuronal responses to physiological changes in extracellular l-Leucine concentration.
Results
A neurochemically diverse subset of both mouse and human hypothalamic neurons responded rapidly to l-leucine. Consistent with l-leucine's anorexigenic role, we found that 25% of mouse MBH POMC neurons were activated by l-leucine. 10% of MBH NPY neurons were inhibited by l-leucine, and leucine rapidly reduced AGRP secretion, providing a mechanism for the rapid leucine-induced inhibition of foraging behavior in rodents. Surprisingly, none of the candidate mechanisms previously implicated in hypothalamic leucine sensing (KATP channels, mTORC1 signaling, amino-acid decarboxylation) were involved in the acute activity changes produced by l-leucine. Instead, our data indicate that leucine-induced neuronal activation involves a plasma membrane Ca2+ channel, whereas leucine-induced neuronal inhibition is mediated by inhibition of a store-operated Ca2+ current.
Conclusions
A subset of neurons in the mediobasal hypothalamus rapidly respond to physiological changes in extracellular leucine concentration. Leucine can produce both increases and decreases in neuronal Ca2+ concentrations in a neurochemically-diverse group of neurons, including some POMC and NPY/AGRP neurons. Our data reveal that leucine can signal through novel mechanisms to rapidly affect neuronal activity.
Keywords: l-leucine sensing, Hypothalamus, Calcium imaging, Pluripotent, Metabolism
Abbreviations: ARH, arcuate nucleus of the hypothalamus; MBH, mediobasal-hypothalamus; hPSC, human induced pluripotent stem cells
Highlights
-
•
A neurochemically diverse group of mouse and human hypothalamic neurons rapidly sense and respond to l-leucine.
-
•
Leucine can produce neuronal activation or neuronal inhibition via distinct and novel Ca2+ signaling mechanisms.
-
•
Leucine activates 25% ARH POMC neurons.
-
•
Leucine inhibits 10% ARH NPY/AGRP neurons and reduces AGRP secretion from fasted mediobasal hypothalamic slices.
1. Introduction
Dietary proteins strongly influence metabolic health via their effect on appetite, weight gain, and adiposity [1], [2], [3]. Compelling evidence indicates that protein is the macronutrient that has the largest impact on energy intake, and that protein intake is tightly regulated independently of fat, carbohydrate, and energy intake [1], [4]. Several peripheral signals, including gut peptides and FGF21 [5], [6], [7], have been implicated in protein-induced satiety. However, none of these peptides specifically signal protein availability, suggesting that additional protein-specific mechanisms are involved to allow a tight, fat- and carbohydrate-independent regulation of protein intake.
Levels of the branched-chain amino acid l-leucine (Leucine) are likely to represent a physiological signal of protein availability in the control of appetite and metabolism. In humans and rodents, circulating leucine levels rapidly increase following the ingestion of a protein dense meal [8], [9], [10], and consumption of a protein-diluted diet chronically reduces serum leucine levels [11]. It is well documented in the literature that leucine signals protein abundance to regulate key anabolic functions including muscle protein synthesis [12] and beta-cell insulin release [13] at least in part via mTORC1 signaling, a pathway for which leucine is the main activator [14]. Importantly, protein sources with higher anabolic value (assessed by their ability to promote growth or activate TOR signaling) or rich in branched-chain amino acids produce increased satiety in flies [15], rodents [16], and humans [8], reinforcing the idea that blood leucine levels may convey information about the anabolic value of the meal to regulate appetite. In addition, leucine supplementation is sufficient to produce satiety in healthy humans [17].
Signals encoding protein availability, including leucine, likely act on the brain to control energy balance. The brain rapidly senses and responds to changes in circulating leucine levels during nutritional transitions [10]. Appetite-regulating neurons in the arcuate nucleus of the hypothalamus (ARH) are well positioned to sense changes in leucine levels and engage downstream neuroendocrine and behavioral neural circuits. Located in the vicinity of the median eminence, they are directly exposed to circulating nutrient levels during energy deprivation [18], and project neural processes to the median eminence parenchyma, allowing constant monitoring of blood-borne signals [19]. Local nanoinjection of leucine into the MBH produces satiety. Remarkably, this response includes a rapid delay in meal initiation and reduction of meal size, indicating that leucine can acutely alter the activity of orexigenic and anorexigenic circuits [10]. However, the molecular, neurophysiological and neurochemical mechanisms implicated in this rapid change in feeding behavior remain poorly understood.
In this study, we aimed to characterize the neurophysiological responses of mediobasal hypothalamic neurons to physiological changes in extracellular leucine levels, test leucine responsiveness of POMC and non-POMC MBH neuronal subsets, and investigate the mechanisms involved in rapid leucine detection. In order to observe rapid, cell-autonomous responses to leucine in multiple species, we performed our studies in freshly dissociated mouse MBH neurons as well as human pluripotent stem cell (hPSC)-derived hypothalamic neurons.
2. Materials and methods
2.1. Mice
All mice were group-housed and maintained in individually ventilated cages with standard bedding and enrichment. Mice were housed in a temperature and humidity-controlled room on a 12-h light/dark cycle with ad libitum access to water and standard laboratory chow diet unless otherwise stated. C57/Bl6J males were obtained from Charles River UK. NPY-GFP mice (Jackson Labs Stock No: 006417) were genotyped with the following primers: 5′-TATGTGGACGGGGCAGAAGATCCAGG-3′; 5′-CCCAGCTCACAT ATTTATCTAGAG-3′; 5′-GGTGCGGTTGCCGTACTGGA-3′. POMC-GFP mice (Jackson Labs Stock No 009593) were genotyped using the following primers: 5′-AAGTTCATCTGCACCACC G-3′; 5′-TCCTTGAAGAAGATGGTG CG-3′. All studies were approved by the local Ethics Committee and conducted according to the UK Home Office Animals (Scientific Procedures) Act 1986.
2.2. Primary culture of post-weaning mediobasal hypothalamic neurons
Primary cultures of mediobasal hypothalamic neurons were prepared from 4 to 6-week old C57/Bl6J, POMC-EFGP, and NPY-GFP males fasted overnight. Throughout the extraction and culture process, all media contained physiologically relevant concentrations of glucose and amino acids, based on concentrations measured in rat cerebrospinal fluid and microdialysis extracts [10], [20], [21]. Mice were killed by cervical dislocation. Brains were extracted and rapidly placed into ice-cold extraction media (Supplementary Table 1). For each brain, 2 brain sections of 0.75 mm were cut using a McIlwain tissue chopper, starting 1.2 mm post the anterior commissure and ranging from −1.06 mm post Bregma to −2.54 mm post Bregma [22]. The MBH was then dissected from coronal slices by using a magnifying loupe and cutting out an equilateral triangle containing the ventral half of the 3rd ventricle; this was placed in extraction media on ice. Tissue was transferred to papain (20 U/ml, Worthington, Lakewood, NJ, USA) pre-heated at 37 °C and digested for 30 min at 37 °C under agitation (Thermomixer, 500 rpm). After digestion, tissue extracts from 6 to 7 animals were pooled, transferred to a tube containing extraction media with 3.5 U/ml DNase I from bovine pancreas (Sigma) using a glass Pasteur pipette with a fire polished 1.5 mm opening, and triturated with pipettes with decreasing diameters (prepared according to Nagy et al., 2006). The trituration supernatant was gently loaded on top of a BSA gradient (4% BSA prepared in extraction media (pH 7.4) loaded on top of 8% BSA (pH 7.4)), spun for 5 min at 300 rcf, and the pellet was resuspended in culture media. 100 μl of resuspended cells were plated on the glass portion of 35 mm dishes (MatTek Corporation), coated with poly-lysine (0.1 mg/ml) using a 0.5 mm trituration pipette, inside a cloning cylinder (8 mm2, Sigma). Plates were placed in an incubator (37 °C, 5% CO2) for 1 h. After 1 h, an additional 2 ml culture media was added and the cloning cylinder removed. 4 to 6 culture dishes were prepared on each experimental day. Each culture dish was imaged once and represented our experimental unit.
For longer cell maintenance, 0.3 nM FGF2 (Sigma) was added to the culture media and media was changed every 2 days.
2.3. Calcium imaging (adapted from [23])
Cells were loaded with 5 μM Fura2 AM dye (Life Technologies) for 30 min, washed with aCSF (supplemented with amino acids and glucose, see Supplementary methods), and imaged using an inverted fluorescence microscope (Olympus IX71, Olympus, Southend on Sea, UK) with a 40× oil-immersion objective lens. GFP (to identify POMC or NPY cells) was excited at 488 nm and fura-2 at 340 nm and 380 nm using a monochromator (Cairn Research, Faversham, UK) and a 75 W xenon arc lamp, and emissions were recorded using an Orca ER camera (Hamamatsu, Welwyn Garden City, UK), a dichroic mirror and a 510 nm long pass filter. All images were collected on MetaFluor software (Molecular Devices, Wokingham, UK). The ratio of fura-2 emissions at 340 and 380 nm (340/380 ratio) was used to monitor changes in the intracellular calcium concentration. Solutions were perfused continuously at a rate of approximately 0.5 ml/min.
2.4. Immunofluorescent staining
Murine primary cultures were fixed with 4% PFA, washed 3 times in 0.1% PBST, followed by blocking in 5% normal donkey serum in 0.3% PBST. Primary antibody, mouse anti-NeuN (1:250, Millipore), chicken anti-MAP2 (1:500, Abcam) or rabbit anti-Ser235/236 rpS6 (1:1000, Cell Signaling Technologies) was applied overnight at 4 °C. After PBS wash, secondary antibody in 5% normal donkey serum, was applied for 1 h. After PBS wash, Vectashield with DAPI (Vector Labs) was added to coverslips inverted onto SuperFrost Plus slides. We analyzed fluorescence colocalization to evaluate the number of neurons using confocal microscopy and ImageJ (NIH).
For hPSC cells immunostaining, cells were fixed in 4% w/v paraformaldehyde in PBS for 10 min at room temperature. After three washes in TBS, cultures were incubated overnight at 4 °C with anti-POMC primary antibody (1:1,000, Abcam ab14064) diluted in 10% normal donkey in TBS with 0.1% Triton X-100, and then washed three times in TBS. Cells were then incubated in Alex Fluor-conjugated secondary antibodies (Thermo Fisher Scientific) diluted 1:500 in 10% normal donkey in TBS with 0.1% Triton X-100 for 2 h at room temperature. After three washes in TBS, cells were incubated in 360 nM DAPI in TBS, washed a further three times in TBS, and imaged on a Zeiss LSM 510 confocal microscope. Images were analyzed and processed with ImageJ (NIH).
2.5. Trypan blue staining
Trypan Blue staining was performed 24 h post plating. Trypan blue (0.2%, filtered, Sigma) was added to each well for 15 min followed by washing 3 times with PBS. Cells were visualized by Brightfield microscopy on an Evos XL Core Cell Imaging System (Life Technologies). Images were processed using ImageJ and counted to assess the number of live neurons, dead neurons, and the amount of debris.
2.6. Human derived hypothalamic neurons
Human pluripotent stem cells (hPSCs) (13B iPSC) were maintained in mTESR1 media [24] and differentiated to hypothalamic neurons as previously described [25], [26]. Human hypothalamic neurons were used at 30–50 days in vitro, at which point there were abundant neurons immunoreactive for POMC. To study cell-autonomous responsiveness to l-leucine, cultures were enzymatically dissociated with TrypLE and Papain as described previously (Kirwan, Jura et al., 2017) and replated onto glass-bottomed 35 mm dishes (MatTek Corporation) coated with Geltrex (Thermo Fisher Scientific, 21041025). Cells were loaded with 5 μM Fura2 AM for 45 min and treated with vehicle or experimental solutions as described above.
2.7. AGRP secretion from medial hypothalamic slices
The release of AGRP from mouse hypothalamic slices was measured ex vivo as described by Enriori et al. [27]. Extraction and culture media described in Supplementary methods and supplemented with 0.6 TIU aprotinin/ml were used. 2 mm medial hypothalamic slices containing the PVH and ARH were prepared from C57/Bl6J mice in ice-cold extraction media. Slices were equilibrated for 1 h at 37C in culture media. Culture supernatant was collected following a 45-minutes with incubation in 300 μl culture media, a 45 min incubation with culture media +500 μM Leu, and a final 45 min incubation with culture media +56 mM KCL. AGRP levels were measured using an ELISA kit from Phoenix Pharmaceuticals.
2.8. Drugs used
10000× stocks of thapsigargin (2 mM, Sigma), Rapamycin (100 μM, Millipore), Ryanodine (250 mM, Insight Biotechnology) and 2-APB (1 M, Abcam) were prepared in DMSO. 200× stocks of tolbumatide (100 mM, Sigma) and Diazoxide (68 mM, Sigma) were prepared as in 1 M Sodium Hydroxide, which was neutralized in final solution using an equivalent volume of 1 M HCl. BCH (2-amino-2-nobornanecarboxylic acid, Sigma), l-leucine, KIC and l-valine (Sigma) were prepared in the aCSF solution used for imaging.
2.9. Data and statistical analysis
Treatments were randomly assigned to each culture dish and relevant control conditions were systematically included on each experimental day. For each culture dish (experimental unit), imaging data from all cells within the 40× objective visual field were analyzed using standardized criteria for all our imaging experiments, allowing unbiased analysis. Data were smoothed using the sliding window method over 20 s. From these smoothed data, we calculated for each control and treatment periods 1 – the area under the curve (AUC) over 8 min for 10 min exposure periods, excluding the first and last minute of each period, or over 4 min for 5 min exposure periods, excluding the first and last 30 s of each period, 2 – the maximum Fura2 340/380 ratio, 3 – the minimum Fura2 340/380 ratio and 4 – the mean Fura2 340/380 ratio over 4 min or 8 min.
To determine whether a cell was activated or inhibited, we used an Excel macro combining a number of criteria as follows. Only cells showing a calcium response to KCl (max Fura2 340/380 ratio during KCl treatment at least 50% higher than baseline Fura2 340/380 ratio) and with a Fura2 340/380 ratio stable throughout baseline and washout periods (average Fura2 340/380 ratio during washout maximum 10% higher or lower than average Fura2 340/380 ratio at baseline) were included in the analysis. Cells were considered activated if showing a reversible increase in Fura2 340/380 ratio during the treatment period, with AUC of the Fura2 340/380 ratio during the treatment period at least 15% higher than during both vehicle treatment periods. Cells were considered inhibited if showing a reversible decrease in Fura2 340/380 ratio during the treatment period, with the AUC of the Fura2 340/380 ratio during the treatment period at least 10% lower than during both vehicle treatment periods. These thresholds were empirically determined by testing different threshold levels and comparing the activation status obtained with the excel macro (activated, inhibited, or no effect) to the activation status determined visually (inspecting calcium traces) by 2 blinded individuals on around 250 neurons. Subsequently, all traces were visually inspected to confirm the validity of the analysis.
All data, presented as means ± SEM, have been analyzed using GraphPad Prism 6. For all statistical tests, an α risk of 5% was used. All dataset with multiple treatments were analyzed using repeated-measures two-way ANOVAs and adjusted with Bonferroni's post hoc tests.
Multiple comparisons were tested with one-way ANOVAs and adjusted with Tukey's post hoc tests. Single comparisons were made using one-tail Student's t tests.
3. Results
3.1. Culture of post-weaning mouse mediobasal hypothalamic neurons
To characterize the acute cell-autonomous neurophysiological responses of murine mediobasal hypothalamic neurons to physiological changes in extracellular leucine levels and investigate the molecular and neurochemical underpinnings, we first optimized calcium imaging of freshly dissociated mouse mediobasal hypothalamic (MBH) neurons. We used mice between 4- to 6-weeks of age to investigate leucine-sensing properties of post-weaning MBH neurons. We optimized a culture protocol based on the published literature [28], [29] (Figure 1A) (Supplementary Figure 1). Commercially available neuronal culture media contain supra-physiological concentrations of glucose and amino acids, preventing the study of how physiological changes in nutrient concentrations are sensed by neurons. We therefore produced our own extraction and culture media with physiological nutrient concentrations based on those measured in rat cerebrospinal fluid and hypothalamic microdialysis extracts (see Material and Methods) [10], [20]. These media did not affect cellular yield and viability (assessed by trypan blue staining on neurons up to 3 days in culture) compared to cultures prepared with Hibernate A (BrainBits) and Neurobasal A (Invitrogen) (Supplementary Figure 1b).
Figure 1.
Primary culture of dissociated post-weaning mediobasal hypothalamic neurons sense glucose and leptin. Protocol to prepare dissociated mouse mediobasal hypothalamic neurons for primary culture and calcium imaging (A). MAP2 (B) and NeuN (C) immunostaining in primary culture of mediobasal hypothalamic neurons. Glucose-induced (D, E, F) and leptin-induced (G, H, I) calcium responses, assessed via 340/380 nm fluorescence ratios (reflecting [Ca2+]i), in mouse mediobasal hypothalamic neurons in culture exposed to a transition from 2.5 mM to 5 mM glucose or to 10 nM leptin. Data are means ± SEM.
As expected [29], cells in culture were predominantly neuronal and expressed MAP2 and NeuN (Figure 1B,C). We assessed the responsiveness of these cultures to glucose and leptin, two metabolic signals sensed by mediobasal hypothalamic neurons. We found that a transition from 2.5 mM to 5 mM glucose triggered an increase in intracellular Ca2+ concentration [Ca2+]i in 25% of neurons in culture, and a decrease in [Ca2+]i in 4.75% of neurons (Figure 1D–F), consistent with previous observations [30], [31]. 10 nM Leptin increased [Ca2+]i in 15% of neurons, and decreased [Ca2+]i in 6.7% of neurons, consistent with previous reports (Figure 1G–I) [32]. These data indicate that under these culture conditions, dissociated MBH neurons from post-weaning mice can survive and maintain metabolic sensing properties.
3.2. Leucine rapidly alters [Ca2+]i in a subset of mediobasal hypothalamic neurons
We then went on to assess changes in [Ca2+]i in response to a 10 min exposure to 500 μM leucine, a concentration consistent with the physiological range of postprandial circulating leucine levels (Blouet, 2009). Cells were exposed to a custom-made aCSF media containing low nutrient levels (see Supplementary methods) during the first 10 min baseline period as well as during the 10–20 min treatment period in control wells exposed to vehicle only. Treatment with aCSF induced calcium responses in a small fraction of cells (<3%, comparing [Ca2+]I following treatment with aCSF compared to the baseline period) (Figure 2A). Treatment with leucine produced elevated [Ca2+]i in 9% of neurons in culture (leucine-activated neurons) and a decrease in [Ca2+]i in 14% of neurons in culture (leucine-inhibited neurons) (Figure 2A–C). Leucine-inhibited neurons were active during the baseline low-nutrient condition period, as indicated by the higher baseline [Ca2+]i during vehicle exposure compared to leucine-activated neurons (Figure 2B,C,E,G). In activated cells, leucine produced a peak in the Fura2 340/380 ratio 46% above that seen in vehicle treated cells, and a 48% increase in the Fura2 340/380 AUC (Figure 2D,E). In inhibited cells, leucine produced an average 61% decrease in Fura2 340/380 AUC (Figure 2F,G). These data indicate that leucine can activate or inhibit subsets of mediobasal hypothalamic neurons and that a total of 23% of mediobasal hypothalamic neurons are primary leucine sensors. By contrast, 500 μM valine activated only 2.7% and inhibited 0.4% of neurons in culture (n = 4, 225 neurons).
Figure 2.
Leucine rapidly alters [Ca2+]iin a neurochemically-diverse subset of mouse mediobasal hypothalamic neurons. Leucine-induced changes in [Ca2+]i (A, B, C) as assessed by 340/380 nm fluorescence ratios in primary cultures of mediobasal hypothalamic neurons. Peak 340/380 nm ratio (D) and 340/380 nm ratio AUC (E) during aCSF or leucine exposure in leucine-activated neurons. Minimum 340/380 nm ratio (F) and 340/380 nm ratio AUC (G) during aCSF or leucine exposure in leucine-inhibited neurons. Calcium responses to leucine in primary cultures of mediobasal hypothalamic POMC-GFP neurons (H). Leucine-induced changes in [Ca2+]i (I, J) as assessed by 340/380 nm fluorescence ratios in POMC-GFP neurons in culture. Calcium responses to leucine in primary cultures of mediobasal hypothalamic NPY-GFP neurons (K). Leucine-induced changes in [Ca2+]i (L) as assessed by 340/380 nm fluorescence ratios in NPY-GFP neurons in culture. AGRP secretion from 1 mm medial hypothalamic slices from fasted (n = 11) or fed (n = 10) animals exposed to leucine (M). Data are means ± SEM. *:p < 0.05. **: p < 0.01.
3.3. Leucine is rapidly sensed by MBH POMC and NPY neurons
We characterized leucine responses of MBH POMC and NPY neurons using cultures obtained from POMC-EGFP and NPY-hrGFP mice. Leucine activated 22% of POMC-EGFP neurons and inhibited 10% of POMC-EGFP neurons (Figure 2H–J). By contrast, only a small fraction of NPY-GFP neurons were activated by leucine and 14% of NPY-GFP neurons were inhibited by leucine (Figure 2K,L). To further establish the ability of leucine to inhibit ARH NPY/AGRP neurons, we measured AGRP secretion from hypothalamic sections maintained ex vivo with or without leucine. Leucine failed to alter AGRP secretion from sections obtained from fed animals. By contract, leucine significantly suppressed AGRP secretion from hypothalamic sections obtained from fasted animals (Figure 2M). Thus, subsets of POMC and NPY neurons are leucine responsive, and, while leucine can either activate or inhibit these two neuronal subpopulations, a majority of leucine-sensing POMC neurons are activated by increased leucine concentrations, and a majority of leucine-sensing NPY neurons are inhibited by increased leucine concentrations.
3.4. Rapid sensing of leucine by MBH neurons is independent of mTORC1 signaling
The mTORC1 signaling pathway is the best-characterized intracellular leucine sensing pathway and has been implicated in MBH leucine sensing and the anorectic effects of hypothalamic leucine exposure [33]. Treatment of mouse MBH primary cultures with 10 nM rapamycin for 1 h suppressed S6 ribosomal Ser240/244 phosphorylation, a surrogate marker for mTORC1 activity (Figure 3A). Under these conditions, we found that leucine was still able to produce neuronal activation and inhibition, at frequencies similar to those measured during exposure to vehicle control (Figure 3B–D; main effect of Rapamycin: NS; main effect of Leu: P = 0.01; interaction: NS). Thus, rapid changes in [Ca2+]i in response to leucine in MBH neurons do not rely on activation of mTORC1.
Figure 3.
Leucine-induced changes in [Ca2+]iare independent of mTORC1 signaling. Immunostaining against ribosomal protein S6 phosphorylated at Ser240/244 (p-rpS6) in primary cultures of mediobasal hypothalamic neurons treated for 1 h with 10 nM rapamycin (A). Neuronal responses to leucine in primary cultures of mediobasal hypothalamic neurons pre-treated with rapamycin (B). Leucine-induced changes in [Ca2+]i as assessed by 340/380 nm fluorescence ratios in primary cultures of mediobasal hypothalamic neurons treated with rapamycin (C, D). Data are means ± SEM.
3.5. Rapid sensing of leucine by MBH neurons is independent of leucine intracellular metabolism and KATP channels
ATP production and closure of KATP channels have been implicated in nutrient sensing in pancreatic beta-cells and activation of mediobasal hypothalamic neurons sensitive to glucose and oleic-acid [Beall, 2013 #1097] [34]. Therefore, we tested the role of this pathway in leucine-induced neuronal activation using a set of complementary approaches. We reasoned that leucine, via its catabolism to alpha-ketoisocaproic acid (KIC), promotes the production of TCA cycle intermediates, eventually leading to increases in intracellular ATP levels, decreases in intracellular MgADP levels, and potential closure of KATP channels which could contribute to leucine-induced neuronal activation.
We first tested the effect of KIC, leucine's first catabolite, on neuronal activation in our preparation. Treatment with isomolar concentrations of KIC produced an increase in [Ca2+]i in only 4% of neurons, and a decrease in [Ca2+]i in only 3% of neurons (Figure 4A), indicating that leucine's metabolite KIC cannot replicate leucine's rapid effects on hypothalamic neuronal activity.
Figure 4.
Leucine-induced changes in [Ca2+]iare independent of leucine metabolism and KATPchannels. Effect of KIC exposure on neuronal activation and inhibition (A). Neuronal responses to tolbutamide and leucine exposures in neuronal mediobasal hypothalamic cultures (B) or arcuate POMC neurons (C). Changes in [Ca2+]i, as assessed by 340/380 nm fluorescence ratios in primary cultures of mediobasal hypothalamic neurons treated with leucine in the presence of Tolbutamide (D, E, F). Overlap between leucine-activated neurons and neurons sensitive to Tolbutamide (G). Effect of diazoxide (diaz) on leucine-induced neuronal activation and inhibition (H), and changes in [Ca2+]i, as assessed by 340/380 nm fluorescence ratios in primary cultures of mediobasal hypothalamic neurons treated with leucine in the presence of diazoxide (I). Data are means ± SEM. *: p < 0.05. **: p < 0.01.
We then used the KATP channel blocker tolbutamide and the KATP channel opener diazoxide to directly interrogate the role of KATP channels in MBH leucine sensing. Tolbutamide blocks hypothalamic KATP channels at doses of 100 μM and above [35], [36]. Pre-treatment with 500 μM Tolbutamide produced an increase in [Ca2+]i compared to [Ca2+]i during the baseline aCSF exposure period in 18% of the total neuronal population in culture and 19% of POMC neurons (Figure 4B–D). This result is consistent with previous findings indicating that 20% of MBH neurons express KATP channels [30]. During co-administration of leucine and tolbutamide in the next 10 min of the recording session, 16% of cells exhibited an increased [Ca2+]i compared with levels recorded during the tolbutamide only exposure (Figure 4B,E). Only 2% of cells responded to both tolbutamide and leucine (Figure 4G). Under these conditions, 25% of POMC neurons were activated by leucine (Figure 4C) but none of the leucine-activated POMC neurons were activated by tolbutamide alone. These results indicate that a majority of leucine-activated cells have no functional KATP currents, and closure of KATP channels does not alter the ability of MBH neurons to rapidly sense leucine. We then tested the effect of the KATP channel opener diazoxide. At concentrations around 300/400 μM, diazoxide hyperpolarizes cells expressing KATP channels within 2 min [37], [38]. Co-administration of 340 μM diazoxide with leucine failed to abrogate leucine-induced changes in [Ca2+]i (Figure 4H,I). Collectively, these data indicate that leucine intracellular metabolism and closure of KATP channels do not account for the rapid sensing of leucine by MBH neurons.
3.6. Extracellular leucine sensing mediates rapid leucine detection by MBH neurons
Leucine is transported across the cell membrane principally via system L amino acid transporters LAT1 (slc7a5) and LAT2 (slc7a8) [39], both expressed in hypothalamic POMC and AGRP neurons [40]. We tested the role of system L transporter in MBH leucine sensing using 2-aminobicyclo-(2,2,1)-heptane-2-carboxylic acid (BCH), a well-characterized inhibitor of system L amino acid transporters [41]. BCH is a non-metabolizable analogue of Leucine that saturates all members of LAT family at 10 mM. Of note, in pancreatic beta-cells, BCH stimulates insulin secretion via activation of glutamate dehydrogenase (GDH), anaplerosis, replenishment of TCA cycle intermediates, ATP production and closure of KATP channels [42]. Therefore, we first examined the effect of BCH on its own on [Ca2+]i in our primary culture model.
Pre-treatment with 10 mM BCH alone activated 10% of neurons in culture (Figure 5A,B). During co-administration of leucine and BCH during the next 10 min of the recording session, 12% of neurons showed an increase in [Ca2+]i compared to [Ca2+]i during the BCH only exposure (Figure 5C). Only 1% of cells showed a response to both BCH and leucine (Figure 5D). Likewise, inhibition of leucine transport failed to abrogate leucine-induced inhibition of MBH neurons (Figure 5E,F). These results indicate that leucine sensing is independent of system L transporters and suggest that leucine may be sensed extracellularly.
Figure 5.
Leucine-induced changes in [Ca2+]irely on extracellular leucine detection. Leucine-induced neuronal activation in the presence of BCH in primary cultures of mediobasal hypothalamic neurons (A). Changes in [Ca2+]i, as assessed by 340/380 nm fluorescence ratios, in primary cultures of mediobasal hypothalamic neurons treated with leucine and BCH (B, C, D). Leucine-induced neuronal inhibition in the presence of BCH in primary cultures of mediobasal hypothalamic neurons (E). Changes in [Ca2+]i, as assessed by 340/380 nm fluorescence ratios, in primary cultures of mediobasal hypothalamic neurons treated with leucine and BCH (F) Data are means ± SEM. *: p < 0.05.
3.7. Mechanistic insights into leucine-induced calcium fluxes
In neurons, calcium released from endoplasmic reticulum (ER) stores or calcium entering the cell through voltage or ligand gated ion channels are the principal sources that contribute to changes in intracellular calcium concentrations in response to a ligand. We used multiple strategies to determine which source of calcium is mobilized by leucine to generate changes in [Ca2+]i.
We first tested the role of intracellular calcium stores using thapsigargin, an irreversible non-competitive inhibitor of the SERCA ATPase, that pumps calcium into the endoplasmic reticulum against its concentration gradient, either to compensate for inward calcium leakage, or to refill the stores after emptying in response to intracellular signaling events [43]. Cells were pretreated with 200 nM thapsigargin for 10 min to deplete intracellular calcium stores [43] and then treated with leucine or vehicle in the presence of Thapsigargin. Upon exposure to Thapsigargin, 66.4% cells showed a calcium response confirming the depletion of intracellular calcium stores (Figure 6A). After this initial rise, baseline [Ca2+]I remained elevated in 25% of cells, with a Fura2 340/380 ratio on average 0.4 higher than during aCSF exposure (Figure 6A). In the presence of thapsigargin, leucine was still able to produce an increase in [Ca2+]i in 17% of cells (Figure 6B,C). By contrast, leucine produced inhibition in a marginal number of cells in the presence of Thapsigargin (Figure 6C).
Figure 6.
Role of calcium channels in hypothalamic leucine sensing. Traces of a typical response of neurons in culture to thapsigargin exposure (A). Trace of a leucine-activated neuron in the presence of thapsigargin (B). Percentage of leucine-activated and leucine-inhibited neurons in the presence of thapsigargin (C). Percentage of leucineactivated and inhibited neurons in the presence of Ryanodine (D) and traces of a leucine-activated (E) and a leucine-inhibited (F) neuron in the presence of ryanodine. Percentage of leucine-activated and inhibited neurons in the presence of 2-APB (G). Trace of a leucine-activated neuron in the presence of 2-APB (H). Trace of a leucine-inhibited neurons in the presence of 2-APB (I) showing the effect of thapsigargin on calcium concentration following a 5 min treatment in calcium depleted media (J). Trace showing the response to the calcium depleted media in neurons with a calcium leak (K). Percentage of leucine-activated neurons in calcium depleted conditions (L) and trace of a leucine-activated neurons in calcium depleted conditions (M). Data are means SEM. ∗: p < 0.05.
We then examined the specific channels involved in the release of calcium from the endoplasmic reticulum, and blocked ryanodine receptors (RyR) with ryanodine, which binds and rapidly induces closure of RyR at concentrations above 100 nM [44], [45]. Co-application of 25 μM ryanodine with leucine did not significantly change the percentage of cells activated or inhibited by leucine (Figure 6D–F). In POMC neurons, ryanodine also did not change the percentage of cells activated by leucine (20% cells activated with DMSO + Leu, n = 5, 21 POMC neurons; 20% cells activated with Rya + Leu, n = 5, 26 POMC neurons). Likewise, 100 μM 2-APB, an inhibitor of IP3R [46]did not block leucine-induced activation (Figure 6G,H), but significantly lowered the percentage of leucine-inhibited cells (Figure 6G,I). Thus, leucine-induced neuronal activation does not rely on RyR and IP3R channels, while leucine-induced inhibition is mediated at least in part by a 2-APB sensitive mechanism.
Last, to test whether leucine-induced activation requires calcium entry from across the plasma membrane, responses to leucine were measured in cells pre-incubated with a calcium-depleted aCSF media for 5 min. Under these conditions, transmembrane calcium fluxes are abrogated, but ER stores remain intact, as confirmed by the ability of 200 nM thapsigargin to produce a rapid transient increase in intracellular calcium concentrations (Figure 6K). Upon transition to the calcium depleted media, 30% of cells showed a brief calcium peak (Figure 6L), and 96.8% of neurons showed a rapid decrease in intracellular calcium levels, reaching a stable lowered baseline within 5 min. However, in 25% of cells, [Ca2+]i further decreased during the following 10 min, reaching a nadir Fura2 340/380 ratio of 0.5–0.6 (Figure 6L). Following a 5 min treatment with a calcium depleted media, the percentage of neurons activated by leucine remained the same (Figure 6M) but the magnitude of the calcium response was significantly blunted (increase in Fura2 340/380 over baseline of 0.09 ± 0.029 vs. 0.63 ± 0.031, p < 0.01), and the remaining Ca2+ fluxes were more transient than those measured in the presence of extracellular calcium (Figure 6N). In POMC neurons, such a small response to leucine during incubation with a calcium depleted media was observed in only 4% of neurons (n = 7, 23 POMC neurons). By contrast, incubation in a calcium-depleted media abrogated all leucine-induced neuronal inhibition.
Collectively, these data indicate that leucine-induced activation of hypothalamic neurons principally relies on calcium entry from the extracellular calcium pool. The mechanisms underlying leucine-induced inhibition of hypothalamic neurons are sensitive to both SERCA ATPase inhibition and 2-APB.
3.8. hPSC-derived hypothalamic neurons sense leucine
The studies performed in acutely dissociated mouse MBH neurons suggested that leucine is sensed by a subset of MBH neurons that respond by altering their activity and neuropeptide secretion to regulate energy homeostasis. Since mice and humans show similar behavioral responses to dietary amino acids [8], we hypothesized that human hypothalamic neurons also show rapid responses to leucine. To test this hypothesis, we differentiated human pluripotent stem cells into hypothalamic neurons as previously described [26]. After at least 30 days in culture, these in vitro-derived human hypothalamic cultures contained many neurons (7.39 ± 0.37% of the cells in culture, n = 4) that were strongly immunopositive for POMC (Figure 7A), suggesting they had been patterned to a BMH-like regional identity [25]. After cells had matured at least 30 days in culture, cultures were dissociated, re-plated, and imaged 24 h later after loading with Fura2 dye to replicate the experimental manipulations that primary murine MBH neurons had undergone. We found that a subset of human hypothalamic neuron cultures responded to 500 uM leucine (n = 7, 200 cells). Using identical criteria to define leucine-activated and leucine-inhibited cells as in experiments performed with murine culture, we found that 10.4 ± 3.2% of hPSCs-derived hypothalamic neurons (n = 6, 212 neurons) increased their [Ca2+]i in response to leucine (Figure 7B), producing a peak in [Ca2+]i that was 25% greater than in vehicle treated cells and an increase in the Fura2 340/380 AUC of 60% (Figure 7C,D). Leucine decreased [Ca2+]i in 15.6 ± 7.2% of hPSCs-derived hypothalamic neurons (n = 6, 212 neurons) and produced an average 9% decrease in the minimum Fura2 340/380 ratio and a 55% decrease in the Fura2 340/380 AUC (Figure 7E–G). These results are similar to those observed in murine MBH neurons (Figure 2).
Figure 7.
Leucine sensing in hypothalamic neurons derived from human pluripotent stem cells. Immunofluorescent detection of POMC expression in hypothalamic neurons derived from human pluripotent stem cells (A). 340/380 nm fluorescence (B), peak 340/380 ratio (C) and 340/380 ratio AUC (D) in human hypothalamic neurons activated in response to 500 μM leucine exposure. 340/380 nm fluorescence (E), minimum 340/380 ratio (F) and 340/380 ratio AUC (G) in human hypothalamic neurons inhibited in response to 500 μM leucine exposure. Data are mean ± SEM. *: p < 0.05. **: p < 0.01. ***: p < 0.001.
4. Discussion
We developed a model of primary culture of dissociated mouse MBH neurons prepared from post-weaning mice to investigate cell autonomous nutrient-sensing properties of mature MBH neurons. Using this model, we found that leucine sensing is not a ubiquitous property of MBH neurons. Instead, only a subset of MBH neurons responded to a physiologically relevant increase in the extracellular concentration of leucine. Leucine produced heterogeneous responses in a neurochemically diverse group of MBH neurons including a subset of POMC and NPY/AGRP neurons. Using a series of pharmacological manipulations, we gained insights into the mechanisms engaged by leucine to rapidly alter the activity of MBH neurons. Unexpectedly, pharmacological gain- or loss-of-function of pathways previously implicated in hypothalamic leucine sensing failed to alter the rapid calcium responses to leucine. Instead, our data implicate activation of plasma membrane Ca2+ channels in leucine-induced neuronal activation, and a mechanism sensitive to SERCA ATPase inhibition and 2-APB in leucine-induced neuronal inhibition. Last, we found that a subset of iPSC-derived human hypothalamic neurons responded to leucine and these responses showed remarkable similarity to those obtained in murine cultures, suggesting that the data obtained with primary mouse neurons have direct relevance to human energy homeostasis.
Our data confirm that ARH POMC neurons represent one of the main MBH neuronal population activated by leucine [10], [47]. Although melanocortinergic signaling has been implicated in the feeding response to MBH Leu, POMC neurons are unlikely to mediate the rapid behavioral response to Leu, as optogenetic or chemogenetic activation of ARH POMC neurons reduce food intake only hours after stimulation [48], [49]. How rapid changes in POMC neuronal excitability affect appetite over that time frame remains to be determined. Alternatively, this rapid leucine sensing may regulate other physiological functions downstream of POMC-regulated neural circuits, including glucose homeostasis. By contrast, rapid inhibition of a subset of NPY/AGRP neurons is likely to mediate the rapid increase in first meal latency and suppression of energy intake measured following acute leucine nano-injection into the MBH [10], as acute inhibition of AGRP neurons rapidly suppresses appetite in hungry mice [50], [51], [52]. Consistent with such an effect, we show that leucine can suppress AGRP secretion from hypothalamic slices of fasted mice. These results represent the first piece of evidence showing that amino acids can rapidly inhibit one of the most critical orexigenic neuronal population of the hypothalamus, and provide a mechanism for the rapid inhibition of foraging behavior in rodents following parenchymal administration of leucine into the MBH [10]. Previous work showed that leucine can regulate AGRP mRNA expression in GT1-7 cells, indicating that Leucine sensing may also produce long term consequences on AGRP neuronal output [53]. Taken together, our result showing both activation of ARH POMC neurons and inhibition of ARH AGRP/NPY neurons are consistent with the anorectic consequences of central leucine sensing and reveal that the multimodal anorectic behavioral response to MBH leucine exposure (i.e. increased first meal latency, decreased meal size, decreased meal frequency over 24 h) is mediated via the modulation of the activity of multiple neuronal populations and downstream neural circuits.
One of the key findings of our study is that pathways previously implicated in hypothalamic leucine sensing – mTORC1 signaling, leucine decarboxylation, and KATP channels – are not required for the rapid changes in intracellular Ca2+ concentrations of MBH neurons in response to leucine. Consistent with these results, genetic models developed so far to target these pathways failed to produce convincing evidence implicating them in long-term body weight control [47], [54]. Additional evidence clearly indicates that leucine can signal independently of mTORC1 to alter the activity of hypothalamic neurons. Lack of the mTORC1 effector rpS6k1 in POMC neurons failed abrogate the ability of ARH POMC neurons to depolarize in response to leucine [47], and rapamycin failed suppress the effect of hypothalamic leucine on hepatic glucose output [55]. Our data suggest that activation of mTORC1 signaling may not be essential for the rapid appetitive and consummatory inhibitory behavioral responses to hypothalamic leucine. This does not preclude a role for mTORC1 signaling in the control of food intake, as rapamycin can rapidly produce hunger in sated animals [55], [56].
Leucine has been proposed to signal in the hypothalamus in part via products of its metabolism feeding into the TCA cycle and leading to ATP production and modulation of the activity of KATP channels [10], [55]. Our results indicate that rapid leucine sensing by MBH neurons does not require leucine catabolism, as leucine's ketoacid did not modulate Ca2+ concentrations of MBH neurons in culture. This observation is consistent with the lack of an acute anorectic response to parenchymal KIC administration in rodents [10]. In addition, we show that functional KATP channels are not required for the rapid response to leucine. In fact, our data indicate that most leucine sensing neurons do not respond to tolbutamine, diazoxide, or BCH, and thus, do not appear to have functional KATP currents. Although diazoxide has been shown to rapidly open KATP channels [57], [58] the paradigm we used in this particular experiment with simultaneous exposure to diazoxide and leucine does not allow us to make strong conclusions. However, together with the results of the other approaches we used, we can conclude that leucine-induced activation does not require functional KATP channels, and that metabolic sensing neurons relying on the modulation of the activity KATP channels do not markedly overlap with the neuronal populations that rapidly sense changes in leucine concentrations. This conclusion raises the question of the potential segregation between leucine and glucose sensing neurons, and supports the idea that leucine-sensing neurons represent a neuronal population distinct from the glucose-sensing neurons that have functional and glucose-sensitive KATP channels.
Instead, our findings suggest that neuronal leucine sensing requires Ca2+ influx through the plasma membrane, as responses were severely abrogated in Ca2+ depleted media. Leucine-induced activation appeared to be insensitive to manipulations of ER calcium stores, as shown by the lack of effect of thapsigargin, ryanodine and 2-APB pretreatment on leucine-induced calcium elevations. The insensitivity to 2-APB also excludes a possible contribution of TRPC channels that open upon calcium release from intracellular stores [59], but are 2-APB sensitive. These results also support the conclusion that leucine is sensed extracellularly, at least in leucine-activated neurons. Consistent with this conclusion, we showed that rapid neuronal leucine sensing is independent of system L transporters. However, other transporters mediate the uptake of leucine into neurons, in particular slc6a15, slc6a16 and slc6a17 [60], [61], expressed in mouse neurons [Zhang, 2014 #1096]. BCH can potently inhibit slc6a15 (85% inhibition with 10 mM BCH) [61], [62], but the effects of BCH on slc6a16 and slc6a17 have not been characterized.
Our data do not allow us to draw strong conclusions about the mechanisms underlying leucine-induced inhibition. The sensitivity of leucine-induced inhibition to both thapsigargin and 2-APB raises the possibility that leucine-inhibited neurons have a constitutive leaking inward calcium current responsive to depletion of ER calcium stores. This is supported by the ability of thapsigargin to increase baseline [Ca2+]i in 30% of cells, and the inability of 24% of cells to maintain a stable baseline [Ca2+]i when exposed to a calcium-depleted media. This calcium leak could come from a store-operated calcium channel, and a conclusion consistent with all our observation would be that in leucine-inhibited neurons, leucine either directly or indirectly inhibits a store operated calcium current, leading to decreased [Ca2+]i. This hypothesis will have to be directly tested in the future. Of note, the mechanisms underlying glucose-induced neuronal inhibition are also not clarified and are still under debate.
Recently, hypothalamic tanycytes were shown to sense amino acids from the ventricular compartment via Tas1r1/Tas1r3 and mGluR4 [63]. Here, we can exclude a contribution of these receptors that function through G-protein mediated opening of IP3R, which we show are not required for leucine-induced activation of hypothalamic neurons.
5. Conclusion
This work represents an important conceptual advance in the characterization and understanding of how hypothalamic circuits sense amino acid and protein availability. We showed that a specialized group of MBH neurons rapidly respond to physiological changes in extracellular leucine concentrations. The leucine-sensing neuronal population of the MBH overlaps with known neurochemical populations of this area. In addition, leucine can produce a variety of responses, supporting the conclusions that leucine can be sensed by distinct neural circuits via different mechanisms, to control a variety of downstream functions. Neuronal leucine sensing in the mediobasal hypothalamus does not rely on mTORC1 signaling, leucine metabolism or KATP channels but requires the modulation of plasma membrane calcium channels (Summary Figure). Future work is required to better characterize these mechanisms and identify the unique molecular components that make a hypothalamic neuron responsive to leucine. Such work is critical for the future in vivo manipulation of leucine-sensing pathways and to test their relevance to body weight control and metabolic function.
Summary Figure.
Proposed mechanisms implicated in rapid leucine sensing in mediobasal hypothalamic neurons. Leucine rapidly modulates the activity of a subset of mediobasal hypothalamic neurons. In leucine-activated neurons (including POMC neurons) leucine activates a voltage-gated calcium channel (VGCC). In leucine-inhibited neurons, leucine inhibits a store-operated calcium current (SOC).
Acknowledgments
This work was supported by the Medical Research Council New Blood Fellowship [MR/M501736/1] to CB, the Medical Research Council Metabolic Disease Unit [MRC_MC_UU_12012/5], and the Wellcome Trust Strategic award for the MRL Disease Model Core and Imaging facilities [100574/Z/12/Z].
Footnotes
Supplementary data related to this article can be found at https://doi.org/10.1016/j.molmet.2018.01.021.
Conflict of interest
None.
Appendix A. Supplementary data
The following is the supplementary data related to this article:
References
- 1.Gosby A.K., Conigrave A.D., Raubenheimer D., Simpson S.J. Protein leverage and energy intake. Obesity Reviews. 2014;15(3):183–191. doi: 10.1111/obr.12131. [DOI] [PubMed] [Google Scholar]
- 2.Huang X., Hancock D.P., Gosby A.K., McMahon A.C., Solon S.M., Le Couteur D.G. Effects of dietary protein to carbohydrate balance on energy intake, fat storage, and heat production in mice. Obesity (Silver Spring) 2013;21(1):85–92. doi: 10.1002/oby.20007. [DOI] [PubMed] [Google Scholar]
- 3.Newgard C.B., An J., Bain J.R., Muehlbauer M.J., Stevens R.D., Lien L.F. A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metabolism. 2009;9(4):311–326. doi: 10.1016/j.cmet.2009.02.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Sorensen A., Mayntz D., Raubenheimer D., Simpson S.J. Protein-leverage in mice: the geometry of macronutrient balancing and consequences for fat deposition. Obesity (Silver Spring) 2008;16(3):566–571. doi: 10.1038/oby.2007.58. [DOI] [PubMed] [Google Scholar]
- 5.Laeger T., Henagan T.M., Albarado D.C., Redman L.M., Bray G.A., Noland R.C. FGF21 is an endocrine signal of protein restriction. Journal of Clinical Investigation. 2014;124(9):3913–3922. doi: 10.1172/JCI74915. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Alamshah A., Spreckley E., Norton M., Kinsey-Jones J.S., Amin A., Ramgulam A. l-phenylalanine modulates gut hormone release and glucose tolerance, and suppresses food intake through the calcium-sensing receptor in rodents. International Journal of Obesity. 2017 Nov;41(11):1693–1701. doi: 10.1038/ijo.2017.164. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Brennan I.M., Luscombe-Marsh N.D., Seimon R.V., Otto B., Horowitz M., Wishart J.M. Effects of fat, protein, and carbohydrate and protein load on appetite, plasma cholecystokinin, peptide YY, and ghrelin, and energy intake in lean and obese men. American Journal of Physiology – Gastrointestinal and Liver Physiology. 2012;303(1):G129–G140. doi: 10.1152/ajpgi.00478.2011. [DOI] [PubMed] [Google Scholar]
- 8.Veldhorst M.A., Nieuwenhuizen A.G., Hochstenbach-Waelen A., van Vught A.J., Westerterp K.R., Engelen M.P. Dose-dependent satiating effect of whey relative to casein or soy. Physiology & Behavior. 2009;96(4–5):675–682. doi: 10.1016/j.physbeh.2009.01.004. [DOI] [PubMed] [Google Scholar]
- 9.Luiking Y.C., Abrahamse E., Ludwig T., Boirie Y., Verlaan S. Protein type and caloric density of protein supplements modulate postprandial amino acid profile through changes in gastrointestinal behaviour: a randomized trial. Clinical Nutrition. 2016;35(1):48–58. doi: 10.1016/j.clnu.2015.02.013. [DOI] [PubMed] [Google Scholar]
- 10.Blouet C., Jo Y.H., Li X., Schwartz G.J. Mediobasal hypothalamic leucine sensing regulates food intake through activation of a hypothalamus-brainstem circuit. Journal of Neuroscience. 2009;29(26):8302–8311. doi: 10.1523/JNEUROSCI.1668-09.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Maida A., Chan J.S.K., Sjoberg K.A., Zota A., Schmoll D., Kiens B. Repletion of branched chain amino acids reverses mTORC1 signaling but not improved metabolism during dietary protein dilution. Molecular Metabolism. 2017;6(8):873–881. doi: 10.1016/j.molmet.2017.06.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Nair K.S., Schwartz R.G., Welle S. Leucine as a regulator of whole body and skeletal muscle protein metabolism in humans. American Journal of Physiology. 1992;263(5 Pt 1):E928–E934. doi: 10.1152/ajpendo.1992.263.5.E928. [DOI] [PubMed] [Google Scholar]
- 13.Henquin J.C., Dufrane D., Nenquin M. Nutrient control of insulin secretion in isolated normal human islets. Diabetes. 2006;55(12):3470–3477. doi: 10.2337/db06-0868. [DOI] [PubMed] [Google Scholar]
- 14.Proud C.G. mTOR-mediated regulation of translation factors by amino acids. Biochemical and Biophysical Research Communications. 2004;313(2):429–436. doi: 10.1016/j.bbrc.2003.07.015. [DOI] [PubMed] [Google Scholar]
- 15.Piper M.D.W., Soultoukis G.A., Blanc E., Mesaros A., Herbert S.L., Juricic P. Matching dietary amino acid balance to the in silico-translated exome optimizes growth and reproduction without cost to lifespan. Cell Metabolism. 2017;25(5):1206. doi: 10.1016/j.cmet.2017.04.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Blouet C., Mariotti F., Azzout-Marniche D., Bos C., Mathe V., Tome D. The reduced energy intake of rats fed a high-protein low-carbohydrate diet explains the lower fat deposition, but macronutrient substitution accounts for the improved glycemic control. Journal of Nutrition. 2006;136(7):1849–1854. doi: 10.1093/jn/136.7.1849. [DOI] [PubMed] [Google Scholar]
- 17.Steinert R.E., Landrock M.F., Ullrich S.S., Standfield S., Otto B., Horowitz M. Effects of intraduodenal infusion of the branched-chain amino acid leucine on ad libitum eating, gut motor and hormone functions, and glycemia in healthy men. American Journal of Clinical Nutrition. 2015;102(4):820–827. doi: 10.3945/ajcn.115.114488. [DOI] [PubMed] [Google Scholar]
- 18.Langlet F., Levin B.E., Luquet S., Mazzone M., Messina A., Dunn-Meynell A.A. Tanycytic VEGF-A boosts blood-hypothalamus barrier plasticity and access of metabolic signals to the arcuate nucleus in response to fasting. Cell Metabolism. 2013;17(4):607–617. doi: 10.1016/j.cmet.2013.03.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Djogo T., Robins S.C., Schneider S., Kryzskaya D., Liu X., Mingay A. Adult NG2-glia are required for median eminence-mediated leptin sensing and body weight control. Cell Metabolism. 2016;23(5):797–810. doi: 10.1016/j.cmet.2016.04.013. [DOI] [PubMed] [Google Scholar]
- 20.Choi Y.H., Fletcher P.J., Anderson G.H. Extracellular amino acid profiles in the paraventricular nucleus of the rat hypothalamus are influenced by diet composition. Brain Research. 2001;892(2):320–328. doi: 10.1016/s0006-8993(00)03267-4. [DOI] [PubMed] [Google Scholar]
- 21.Currie P.J., Chang N., Luo S., Anderson G.H. Microdialysis as a tool to measure dietary and regional effects on the complete profile of extracellular amino acids in the hypothalamus of rats. Life Sciences. 1995;57(21):1911–1923. doi: 10.1016/0024-3205(95)02178-l. [DOI] [PubMed] [Google Scholar]
- 22.Paxinos G., Franklin K.B.J. 2nd ed. Academic Press; NY: 2001. The mouse brain in stereotaxic coordinates. [Google Scholar]
- 23.Diakogiannaki E., Pais R., Tolhurst G., Parker H.E., Horscroft J., Rauscher B. Oligopeptides stimulate glucagon-like peptide-1 secretion in mice through proton-coupled uptake and the calcium-sensing receptor. Diabetologia. 2013;56(12):2688–2696. doi: 10.1007/s00125-013-3037-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ludwig T.E., Bergendahl V., Levenstein M.E., Yu J., Probasco M.D., Thomson J.A. Feeder-independent culture of human embryonic stem cells. Nature Methods. 2006;3(8):637–646. doi: 10.1038/nmeth902. [DOI] [PubMed] [Google Scholar]
- 25.Kirwan P., Jura M., Merkle F.T. Generation and characterization of functional human hypothalamic neurons. Current Protocols in Neuroscience. 2017;81 doi: 10.1002/cpns.40. 3.33.31–33.33.24. [DOI] [PubMed] [Google Scholar]
- 26.Merkle F.T., Maroof A., Wataya T., Sasai Y., Studer L., Eggan K. Generation of neuropeptidergic hypothalamic neurons from human pluripotent stem cells. Development. 2015;142(4):633–643. doi: 10.1242/dev.117978. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Enriori P.J., Evans A.E., Sinnayah P., Jobst E.E., Tonelli-Lemos L., Billes S.K. Diet-induced obesity causes severe but reversible leptin resistance in arcuate melanocortin neurons. Cell Metabolism. 2007;5(3):181–194. doi: 10.1016/j.cmet.2007.02.004. [DOI] [PubMed] [Google Scholar]
- 28.Le Foll C., Irani B.G., Magnan C., Dunn-Meynell A.A., Levin B.E. Characteristics and mechanisms of hypothalamic neuronal fatty acid sensing. American Journal of Physiology – Regulatory, Integrative and Comparative Physiology. 2009;297(3):R655–R664. doi: 10.1152/ajpregu.00223.2009. Epub 2009 Jun 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Brewer G.J., Torricelli J.R. Isolation and culture of adult neurons and neurospheres. Nature Protocols. 2007;2(6):1490–1498. doi: 10.1038/nprot.2007.207. [DOI] [PubMed] [Google Scholar]
- 30.Kang L., Routh V.H., Kuzhikandathil E.V., Gaspers L.D., Levin B.E. Physiological and molecular characteristics of rat hypothalamic ventromedial nucleus glucosensing neurons. Diabetes. 2004;53(3):549–559. doi: 10.2337/diabetes.53.3.549. [DOI] [PubMed] [Google Scholar]
- 31.Dunn-Meynell A.A., Routh V.H., Kang L., Gaspers L., Levin B.E. Glucokinase is the likely mediator of glucosensing in both glucose-excited and glucose-inhibited central neurons. Diabetes. 2002;51(7):2056–2065. doi: 10.2337/diabetes.51.7.2056. [DOI] [PubMed] [Google Scholar]
- 32.Irani B.G., Le Foll C., Dunn-Meynell A., Levin B.E. Effects of leptin on rat ventromedial hypothalamic neurons. Endocrinology. 2008;149(10):5146–5154. doi: 10.1210/en.2008-0357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Blouet C., Ono H., Schwartz G.J. Mediobasal hypothalamic p70 S6 kinase 1 modulates the control of energy homeostasis. Cell Metabolism. 2008;8(6):459–467. doi: 10.1016/j.cmet.2008.10.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Jo Y.H., Su Y., Gutierrez-Juarez R., Chua S., Jr. Oleic acid directly regulates POMC neuron excitability in the hypothalamus. Journal of Neurophysiology. 2009;101(5):2305–2316. doi: 10.1152/jn.91294.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.O'Malley D., Reimann F., Simpson A.K., Gribble F.M. Sodium-coupled glucose cotransporters contribute to hypothalamic glucose sensing. Diabetes. 2006;55(12):3381–3386. doi: 10.2337/db06-0531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Ashford M.L., Boden P.R., Treherne J.M. Tolbutamide excites rat glucoreceptive ventromedial hypothalamic neurones by indirect inhibition of ATP-K+ channels. British Journal of Pharmacology. 1990;101(3):531–540. doi: 10.1111/j.1476-5381.1990.tb14116.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Liu Y.J., Grapengiesser E., Gylfe E., Hellman B. Glucose induces oscillations of cytoplasmic Ca2+, Sr2+ and Ba2+ in pancreatic beta-cells without participation of the thapsigargin-sensitive store. Cell Calcium. 1995;18(2):165–173. doi: 10.1016/0143-4160(95)90007-1. [DOI] [PubMed] [Google Scholar]
- 38.Reimann F., Gribble F.M. Glucose-sensing in glucagon-like peptide-1-secreting cells. Diabetes. 2002;51(9):2757–2763. doi: 10.2337/diabetes.51.9.2757. [DOI] [PubMed] [Google Scholar]
- 39.Hyde R., Taylor P.M., Hundal H.S. Amino acid transporters: roles in amino acid sensing and signalling in animal cells. Biochemical Journal. 2003;373(Pt 1):1–18. doi: 10.1042/bj20030405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Henry F.E., Sugino K., Tozer A., Branco T., Sternson S.M. Cell type-specific transcriptomics of hypothalamic energy-sensing neuron responses to weight-loss. Elife. 2015;4 doi: 10.7554/eLife.09800. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Kim C.S., Cho S.H., Chun H.S., Lee S.Y., Endou H., Kanai Y. BCH, an inhibitor of system L amino acid transporters, induces apoptosis in cancer cells. Biological and Pharmaceutical Bulletin. 2008;31(6):1096–1100. doi: 10.1248/bpb.31.1096. [DOI] [PubMed] [Google Scholar]
- 42.Han S.J., Choi S.E., Yi S.A., Jung J.G., Jung I.R., Shin M. Glutamate dehydrogenase activator BCH stimulating reductive amination prevents high fat/high fructose diet-induced steatohepatitis and hyperglycemia in C57BL/6J mice. Scientific Reports. 2016;5:37468. doi: 10.1038/srep37468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Treiman M., Caspersen C., Christensen S.B. A tool coming of age: thapsigargin as an inhibitor of sarco-endoplasmic reticulum Ca(2+)-ATPases. Trends in Pharmacological Sciences. 1998;19(4):131–135. doi: 10.1016/s0165-6147(98)01184-5. [DOI] [PubMed] [Google Scholar]
- 44.Lindsay A.R., Tinker A., Williams A.J. How does ryanodine modify ion handling in the sheep cardiac sarcoplasmic reticulum Ca(2+)-release channel? The Journal of General Physiology. 1994;104(3):425–447. doi: 10.1085/jgp.104.3.425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Viero C., Thomas N.L., Euden J., Mason S.A., George C.H., Williams A.J. Techniques and methodologies to study the ryanodine receptor at the molecular, subcellular and cellular level. Advances in Experimental Medicine & Biology. 2012;740:183–215. doi: 10.1007/978-94-007-2888-2_8. [DOI] [PubMed] [Google Scholar]
- 46.Missiaen L., Callewaert G., De Smedt H., Parys J.B. 2-Aminoethoxydiphenyl borate affects the inositol 1,4,5-trisphosphate receptor, the intracellular Ca2+ pump and the non-specific Ca2+ leak from the non-mitochondrial Ca2+ stores in permeabilized A7r5 cells. Cell Calcium. 2001;29(2):111–116. doi: 10.1054/ceca.2000.0163. [DOI] [PubMed] [Google Scholar]
- 47.Smith M.A., Katsouri L., Irvine E.E., Hankir M.K., Pedroni S.M., Voshol P.J. Ribosomal S6K1 in POMC and AgRP neurons regulates glucose homeostasis but not feeding behavior in mice. Cell Reports. 2015;11(3):335–343. doi: 10.1016/j.celrep.2015.03.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Fenselau H., Campbell J.N., Verstegen A.M., Madara J.C., Xu J., Shah B.P. A rapidly acting glutamatergic ARC-->PVH satiety circuit postsynaptically regulated by alpha-MSH. Nature Neuroscience. 2017;20(1):42–51. doi: 10.1038/nn.4442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Zhan C., Zhou J., Feng Q., Zhang J.E., Lin S., Bao J. Acute and long-term suppression of feeding behavior by POMC neurons in the brainstem and hypothalamus, respectively. Journal of Neuroscience United States. 2013;33:3624–3632. doi: 10.1523/JNEUROSCI.2742-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Krashes M.J., Koda S., Ye C., Rogan S.C., Adams A.C., Cusher D.S. Rapid, reversible activation of AgRP neurons drives feeding behavior in mice. Journal of Clinical Investigation. 2011;121(4):1424–1428. doi: 10.1172/JCI46229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Vardy E., Robinson J.E., Li C., Olsen R.H., DiBerto J.F., Giguere P.M. A new DREADD facilitates the multiplexed chemogenetic interrogation of behavior. Neuron. 2015;86(4):936–946. doi: 10.1016/j.neuron.2015.03.065. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Betley J.N., Xu S., Cao Z.F.H., Gong R., Magnus C.J., Yu Y. Neurons for hunger and thirst transmit a negative-valence teaching signal. Nature. 2015;521(7551):180–185. doi: 10.1038/nature14416. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Morrison C.D., Xi X., White C.L., Ye J., Martin R.J. Amino acids inhibit Agrp gene expression via an mTOR-dependent mechanism. American Journal of Physiology. Endocrinology and Metabolism. 2007;293(1):E165–E171. doi: 10.1152/ajpendo.00675.2006.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Purpera M.N., Shen L., Taghavi M., Munzberg H., Martin R.J., Hutson S.M. Impaired branched chain amino acid metabolism alters feeding behavior and increases orexigenic neuropeptide expression in the hypothalamus. Journal of Endocrinology. 2012;212(1):85–94. doi: 10.1530/JOE-11-0270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Su Y., Lam T.K., He W., Pocai A., Bryan J., Aguilar-Bryan L. Hypothalamic leucine metabolism regulates liver glucose production. Diabetes United States. 2012;61:85–93. doi: 10.2337/db11-0857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Cota D., Proulx K., Smith K.A., Kozma S.C., Thomas G., Woods S.C. Hypothalamic mTOR signaling regulates food intake. Science. 2006;312(5775):927–930. doi: 10.1126/science.1124147. [DOI] [PubMed] [Google Scholar]
- 57.Larsson O., Ammala C., Bokvist K., Fredholm B., Rorsman P. Stimulation of the KATP channel by ADP and diazoxide requires nucleotide hydrolysis in mouse pancreatic beta-cells. The Journal of Physiology. 1993;463:349–365. doi: 10.1113/jphysiol.1993.sp019598. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Shyng S., Ferrigni T., Nichols C.G. Regulation of KATP channel activity by diazoxide and MgADP. Distinct functions of the two nucleotide binding folds of the sulfonylurea receptor. The Journal of General Physiology. 1997;110(6):643–654. doi: 10.1085/jgp.110.6.643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Bavencoffe A., Zhu M.X., Tian J.B. New aspects of the contribution of ER to SOCE regulation: TRPC proteins as a link between plasma membrane ion transport and intracellular Ca2+ stores. Advances in Experimental Medicine & Biology. 2017;993:239–255. doi: 10.1007/978-3-319-57732-6_13. [DOI] [PubMed] [Google Scholar]
- 60.Broer S., Schneider H.P., Broer A., Deitmer J.W. Mutation of asparagine 76 in the center of glutamine transporter SNAT3 modulates substrate-induced conductances and Na+ binding. Journal of Biological Chemistry. 2009;284(38):25823–25831. doi: 10.1074/jbc.M109.031013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Takanaga H., Mackenzie B., Peng J.B., Hediger M.A. Characterization of a branched-chain amino-acid transporter SBAT1 (SLC6A15) that is expressed in human brain. Biochemical and Biophysical Research Communications. 2005;337(3):892–900. doi: 10.1016/j.bbrc.2005.09.128. [DOI] [PubMed] [Google Scholar]
- 62.Oppedisano F., Indiveri C. Reconstitution into liposomes of the B degrees -like glutamine-neutral amino acid transporter from renal cell plasma membrane. Biochimica et Biophysica Acta. 2008;1778(10):2258–2265. doi: 10.1016/j.bbamem.2008.05.011. [DOI] [PubMed] [Google Scholar]
- 63.Lazutkaite G., Solda A., Lossow K., Meyerhof W., Dale N. Amino acid sensing in hypothalamic tanycytes via umami taste receptors. Molecular Metabolism. 2017;6(11):1480–1492. doi: 10.1016/j.molmet.2017.08.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.