<sc>l-</sc>Type amino acid transporter 1 in hypothalamic neurons in mice maintains energy and bone homeostasis

Gyujin Park; Kazuya Fukasawa; Tetsuhiro Horie; Yusuke Masuo; Yuka Inaba; Takanori Tatsuno; Takanori Yamada; Kazuya Tokumura; Sayuki Iwahashi; Takashi Iezaki; Katsuyuki Kaneda; Yukio Kato; Yasuhito Ishigaki; Michihiro Mieda; Tomohiro Tanaka; Kazuma Ogawa; Hiroki Ochi; Shingo Sato; Yun-Bo Shi; Hiroshi Inoue; Hojoon Lee; Eiichi Hinoi

doi:10.1172/jci.insight.154925

l-Type amino acid transporter 1 in hypothalamic neurons in mice maintains energy and bone homeostasis

Gyujin Park,^1,2 Kazuya Fukasawa,¹ Tetsuhiro Horie,^1,3 Yusuke Masuo,⁴ Yuka Inaba,⁵ Takanori Tatsuno,³ Takanori Yamada,¹ Kazuya Tokumura,¹ Sayuki Iwahashi,¹ Takashi Iezaki,¹ Katsuyuki Kaneda,⁶ Yukio Kato,⁴ Yasuhito Ishigaki,³ Michihiro Mieda,⁷ Tomohiro Tanaka,⁸ Kazuma Ogawa,^9,10 Hiroki Ochi,¹¹ Shingo Sato,¹² Yun-Bo Shi,¹³ Hiroshi Inoue,^5,14 Hojoon Lee,² and Eiichi Hinoi^1,15,16

Authorship note: GP and KF contributed equally to this work.

Published March 2, 2023 - More info

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Abstract

Hypothalamic neurons regulate body homeostasis by sensing and integrating changes in the levels of key hormones and primary nutrients (amino acids, glucose, and lipids). However, the molecular mechanisms that enable hypothalamic neurons to detect primary nutrients remain elusive. Here, we identified l-type amino acid transporter 1 (LAT1) in hypothalamic leptin receptor–expressing (LepR-expressing) neurons as being important for systemic energy and bone homeostasis. We observed LAT1-dependent amino acid uptake in the hypothalamus, which was compromised in a mouse model of obesity and diabetes. Mice lacking LAT1 (encoded by solute carrier transporter 7a5, Slc7a5) in LepR-expressing neurons exhibited obesity-related phenotypes and higher bone mass. Slc7a5 deficiency caused sympathetic dysfunction and leptin insensitivity in LepR-expressing neurons before obesity onset. Importantly, restoring Slc7a5 expression selectively in LepR-expressing ventromedial hypothalamus neurons rescued energy and bone homeostasis in mice deficient for Slc7a5 in LepR-expressing cells. Mechanistic target of rapamycin complex-1 (mTORC1) was found to be a crucial mediator of LAT1-dependent regulation of energy and bone homeostasis. These results suggest that the LAT1/mTORC1 axis in LepR-expressing neurons controls energy and bone homeostasis by fine-tuning sympathetic outflow, thus providing in vivo evidence of the implications of amino acid sensing by hypothalamic neurons in body homeostasis.

Introduction

Hypothalamic neurons in the central nervous system (CNS) serve as pivotal regulators of body homeostasis by receiving and integrating peripheral signals (1, 2). Key hormones and pathways involved in the hypothalamic regulation of energy and bone homeostasis have been identified. For example, leptin signaling in hypothalamic neurons plays a major role in the regulation of energy homeostasis in a neuron type– and context-dependent manner via downstream effectors such as signal transducer and activator of transcription 3 (STAT3) and mechanistic target of rapamycin complex-1 (mTORC1) (3, 4). Moreover, leptin is a central regulator that inhibits bone formation partly through the sympathetic nervous system (SNS) (5). In addition to hormones, hypothalamic neurons sense primary nutrients (amino acids, glucose, and lipids) and coordinate metabolic responses (6).

Appropriate consumption of protein and amino acids is widely acknowledged as beneficial for energy homeostasis. Among the amino acids, branched-chain amino acids (BCAAs; leucine, isoleucine, and valine) largely escape first-pass metabolism, resulting in a marked increase in their levels in the brain as well as in plasma in the postprandial state (7–10). Elevated levels of circulating BCAAs have been linked to the development of obesity in both rodents and humans (11, 12). Long-term consumption of BCAA-rich diet causes hyperphagia and obesity, leading to a shortened life span (13). A recent study showed that reduced isoleucine intake is required for the metabolic benefits of a low-protein diet (14). In addition, BCAAs have been implicated in bone homeostasis. Dietary essential amino acid supplements containing leucine, isoleucine, and valine increased bone strength in ovariectomized osteoporotic rats (15). Furthermore, high leucine intake is associated with high bone mineral density (BMD) in female monozygotic twins (16), and high BCAA levels are associated with a low risk of BMD decline (17).

l-type amino acid transporter 1 (LAT1), encoded by solute carrier transporter 7a5 (Slc7a5), is a Na⁺-independent amino acid transporter that facilitates the cellular uptake of large neutral amino acids, including BCAAs and aromatic amino acids (18, 19), and plays a crucial role in amino acid sensing and signaling in specific cell types (20, 21), contributing to the pathogenesis of cancer and neurological disorders (22, 23). We recently reported that Slc7a5 deficiency in osteoclasts or chondrocytes causes bone loss or spinal deformity, respectively (24, 25). Global Slc7a5 deficiency in mice causes drastic neural defects leading to embryonic lethality (26, 27). LAT1/Slc7a5 is expressed in the neural tube, forebrain, and postnatal neurogenic regions (27–29) and in endothelial cells of the blood-brain barrier, wherein it regulates BCAA levels in the brain (30). LAT1-dependent leucine uptake contributes to cellular homeostasis through mTORC1 signaling in specific cell types (20, 21), and leucine regulates hypothalamic activity to control energy status through mTORC1 signaling (31, 32). However, physiological and pathological functions and underlying action mechanisms of the LAT1/mTORC1 axis in hypothalamic neurons with respect to body homeostasis remain unknown.

Obesity and osteoporosis, two common chronic metabolic diseases, are worldwide health problems with significant impact on patient quality of life and with high mortality rates and health care costs (33, 34). To improve treatments for these diseases, deeper insights into energy and bone homeostasis are required. In the present study, we found that the LAT1/mTORC1 axis in hypothalamic neurons plays a pivotal role in energy and bone homeostasis as an amino acid sensor, thereby providing valuable information on a potentially novel and common target for the treatment of obesity and osteoporosis.

Results

Hypothalamus has a LAT1-dependent amino acid uptake system, which is suppressed in an obesity and diabetes mouse model. We first assessed whether a LAT-dependent amino acid transport system was operational in the hypothalamus of mice. To this end, we synthesized l-3-[¹²⁵I]iodo-α-methyltyrosine ([¹²⁵I]IMT) and tested whether microdissected mouse hypothalami took up [¹²⁵I]IMT, since its accumulation is mainly mediated by LATs (35) (Figure 1A). [¹²⁵I]IMT uptake was temperature dependent and significantly reduced by JPH203, a specific inhibitor of LAT1, in the hypothalamus (Figure 1, B and C).

Figure 1

Hypothalamus has a LAT1-dependent amino acid uptake system that is altered by metabolic states. (A) Schematic diagram of the procedure for [¹²⁵I]IMT uptake assay. (B and C) Brain tissues from wild-type mice at 8–12 weeks of age were incubated with [¹²⁵I]IMT at 4°C or 37°C for 30 minutes in Hanks’ balanced salt solution (HBSS) buffer (B) (n = 5, ***P < 0.001, 2-tailed Student’s t test) or at 37°C for 30 minutes in HBSS buffer containing 30 μM JPH203 (C) (n = 10 or 11, ***P < 0.001, 2-tailed Student’s t test). (D and E) Quantification of mRNAs encoding LAT family in VMH (D) and ARC (E) of mice fed a normal chow diet (NC) at 8–12 weeks of age (n = 4, *P < 0.05, **P < 0.01, Kruskal-Wallis test post hoc Dunn’s test). TPM, transcripts per million. (F) Quantification of mRNAs encoding LAT family in human hypothalamus (n = 202, ***P < 0.001, Kruskal-Wallis test post hoc Dunn’s test). (G) Brain tissues from WT mice fed an NC or HFD (for 17 weeks, from 7 to 24 weeks of age) at 24 weeks of age were incubated with [¹²⁵I]IMT at 37°C for 30 minutes in HBSS buffer (n = 5, *P < 0.05, 2-tailed Student’s t test). (H) Brain tissues from WT mice and db/db mice at 24 weeks of age were incubated with [¹²⁵I]IMT at 37°C for 30 minutes in HBSS buffer (n = 5, ***P < 0.001, 2-tailed Student’s t test). (I) LAT1-dependent [¹²⁵I]IMT uptake in brain tissues from WT mice and db/db mice at 24 weeks of age (n = 5, **P < 0.01, 2-tailed Student’s t test). (J and K) Quantification of Slc7a5 mRNA in VMH (J) and ARC (K) of mice fed an NC or HFD (from 5–6 to 8–12 weeks of age) at 8–12 weeks of age (n = 4, *P < 0.05, ***P < 0.001, Fisher’s exact test). All the mice used in this study were male. CPM, counts per million.

The LAT family, which consists of LAT1 (SLC7A5), LAT2 (SLC7A8), LAT3 (SLC43A1), and LAT4 (SLC43A2), transports neutral amino acids into cells with possibly redundant functions (22). Analysis of an RNA-Seq data set revealed that Slc7a5 expression was the highest among the LAT family in both the ventromedial hypothalamus (VMH) and arcuate nucleus (ARC) of the murine hypothalamus (Figure 1, D and E). Consistently, SLC7A5 expression was the highest among the LAT family in the human hypothalamus according to the Genotype-Tissue Expression (GTEx) database (Figure 1F).

We next examined whether metabolic states affected LAT1-dependent amino acid uptake. [¹²⁵I]IMT uptake was significantly decreased in the hypothalamus of both high-fat diet–fed (HFD-fed) mice and db/db mice (Figure 1, G and H). Moreover, JPH203-sensitive (LAT1-dependent) [¹²⁵I]IMT uptake was significantly decreased in db/db mice (Figure 1I). In addition, Slc7a5 expression was significantly downregulated by HFD exposure in both the VMH and ARC in the murine hypothalamus (Figure 1, J and K).

Collectively, these results demonstrate that the hypothalamus has a LAT1-dependent amino acid uptake system that can be altered by metabolic states such as obesity and diabetes.

LAT1 in LepR-expressing neurons is necessary for maintenance of body weight and amino acid level balance. To determine the physiological importance of LAT1 in leptin receptor–expressing (LepR-expressing) neurons in systemic energy homeostasis, we generated LepR-Cre Slc7a5^fl/fl mice by crossing Slc7a5^fl/fl mice with LepR-Cre mice. LepR-Cre mice did not exhibit any abnormalities in body weight, glucose tolerance, insulin sensitivity, and adipose tissue weights (Supplemental Figure 1, A–E; supplemental material available online with this article; https://doi.org/10.1172/jci.insight.154925DS1). We confirmed the deletion efficiency and specificity in LepR-Cre Slc7a5^fl/fl mice (Supplemental Figure 2, A–C). The body weight of LepR-Cre Slc7a5^fl/fl mice began to significantly diverge from that of control mice by 8 weeks after birth, accompanied by a larger gross appearance at 24 weeks of age (Figure 2, A and B). Moreover, visceral and subcutaneous fat pads were significantly larger in LepR-Cre Slc7a5^fl/fl mice with adipocyte hypertrophy and higher circulating leptin levels (Figure 2, C–H). Brain morphology, neuronal cytoarchitecture, and the number of LepR-expressing neurons in the VMH or ARC were comparable between control and LepR-Cre Slc7a5^fl/fl mice (Supplemental Figure 2, D–J).

Figure 2

LAT1 in LepR-expressing neurons plays a critical role in the maintenance of proper body weight and adequate amino acid level balance. (A) Weekly body weight is shown for LepR-Cre Slc7a5^fl/fl mice and control mice fed an NC (n = 8 or 9, *P < 0.05, **P < 0.01, ***P < 0.001, 2-way ANOVA with Bonferroni post hoc test). (B) Gross appearance at 24 weeks of age is shown for LepR-Cre Slc7a5^fl/fl mice and control mice fed an NC. Scale bar, 1 cm. (C–E) Representative pictures of visceral and subcutaneous WAT (vWAT and sWAT) (C), adipose tissue weights (D), and adipose tissue weights normalized to body weight (E) are shown for LepR-Cre Slc7a5^fl/fl mice and control mice at 22–24 weeks of age (n = 17 or 18, **P < 0.01, ***P < 0.001, 2-tailed Student’s t test). Scale bar, 1 cm. (F and G) H&E stain was performed on the vWAT of LepR-Cre Slc7a5^fl/fl mice and control mice at 22–24 weeks of age, followed by quantification of adipocyte size of vWAT (n = 15 or 16, *P < 0.05, **P < 0.01, ***P < 0.001, 2-way ANOVA with Bonferroni post hoc test). Scale bar, 100 μm. (H) Serum leptin levels were measured in LepR-Cre Slc7a5^fl/fl mice at 22–24 weeks of age (n = 4, ***P < 0.001, 2-tailed Student’s t test). (I) [¹²⁵I]IMT uptake in hypothalamus from LepR-Cre Slc7a5^fl/fl mice at 22–24 weeks of age (n = 6 or 7, *P < 0.05, 2-tailed Student’s t test). (J) Log₂ ratio of the amino acid levels in VMH between LepR-Cre Slc7a5^fl/fl mice and control mice at 7 weeks of age (n = 12, the amino acids with P < 0.05 are represented in red, 2-tailed Student’s t test). (K) Quantification of Slc7a5 mRNA in ARC and VMH of mice fed an NC (n = 4, **P < 0.01, Fisher’s exact test). (L and M) The enrichment plots for amino acid transport-related gene sets in VMH and ARC of mice fed an NC (n = 4). All the mice used in this study were male.

We then assessed how the ablation of LAT1 expression in LepR-expressing cells might influence amino acid levels in the hypothalamus. [¹²⁵I]IMT uptake was significantly decreased in the hypothalamus of LepR-Cre Slc7a5^fl/fl mice before the onset of obesity (7 weeks of age) (Figure 2I). Among the amino acid substrates of LAT1, leucine, isoleucine, phenylalanine, tyrosine, and tryptophan levels were significantly decreased in the VMH of LepR-Cre Slc7a5^fl/fl mice with a trend toward decreased valine levels compared with those in control mice (Figure 2J). Conversely, no significant changes were observed in amino acid levels in the ARC and plasma between control and LepR-Cre Slc7a5^fl/fl mice (Supplemental Figure 2, K and L). Consistently, analysis of RNA-Seq data revealed that the Slc7a5 mRNA level was significantly higher in the VMH than in the ARC, and gene sets involved in amino acid transport were enriched in the VMH compared with those in the ARC (Figure 2, K–M).

Collectively, these results indicate that LAT1 depletion in LepR-expressing neurons leads to spontaneous obesity owing to an increase in fat mass, concomitant with reduction in BCAA uptake in the VMH.

LAT1 in LepR-expressing neurons is implicated in insulin sensitivity, energy homeostasis, and brown adipose tissue function. We next examined whether LAT1 in LepR-expressing neurons was involved in the regulation of glucose handling and insulin sensitivity. LepR-Cre Slc7a5^fl/fl mice exhibited normal glucose tolerance but impaired insulin sensitivity associated with elevated serum insulin levels and enlarged islets (Figure 3, A–E). LepR-Cre Slc7a5^fl/fl mice also developed severe liver steatosis with marked lipid accumulation (Figure 3, F–I). Food intake was comparable between LepR-Cre Slc7a5^fl/fl and control mice in all phases; however, locomotor activity was significantly decreased in LepR-Cre Slc7a5^fl/fl mice compared with that in control mice in all phases (Figure 4, A and B, and Supplemental Figure 3, A–C). O₂ consumption, CO₂ production, and energy expenditure were significantly decreased in LepR-Cre Slc7a5^fl/fl mice compared with those in control mice in all phases (Figure 4, C–E, and Supplemental Figure 3, D–F). Core body temperature was significantly decreased in LepR-Cre Slc7a5^fl/fl mice compared with that in control mice (Figure 4F). Brown adipose tissue (BAT) weight was remarkably higher in LepR-Cre Slc7a5^fl/fl mice and associated with larger lipid infiltration, suggesting whitening of BAT (Figure 4, G–J). In addition, mitochondrial content in BAT was significantly decreased in LepR-Cre Slc7a5^fl/fl mice, and morphological abnormalities of the mitochondria were present (Figure 4, K and L). Furthermore, LepR-Cre Slc7a5^fl/fl mice displayed morphological abnormalities in the mitochondria of the soleus muscle associated with lower mitochondria content (Supplemental Figure 3, G and H). Furthermore, thermogenic and mitochondrial function-related genes, such as Ucp1, Adrb3, Tfam, and Cox7a, were downregulated in the BAT of LepR-Cre Slc7a5^fl/fl mice (Figure 4M). Collectively, these results show that LAT1 in LepR-expressing neurons is required for the regulation of insulin sensitivity, energy expenditure, and BAT function but not for glucose handling and energy intake.

Figure 3

LAT1 in LepR-expressing neurons is involved in insulin sensitivity, energy homeostasis and BAT function. (A) Glucose tolerance tests (GTTs) were performed in LepR-Cre Slc7a5^fl/fl mice and control mice after a 6-hour fast at 22–24 weeks of age (n = 6 to 8, 2-way ANOVA with Bonferroni post hoc test). (B) Insulin tolerance tests (ITTs) were performed in LepR-Cre Slc7a5^fl/fl mice and control mice after a 6-hour fast at 22–24 weeks of age (n = 10 or 11, *P < 0.05, **P < 0.01, ***P < 0.001, 2-way ANOVA with Bonferroni post hoc test). (C) Serum insulin levels were measured in LepR-Cre Slc7a5^fl/fl mice and control mice after a 6-hour fast at 22–24 weeks of age (n = 5, ***P < 0.001, 2-tailed Student’s t test). (D and E) Immunohistochemical stain for insulin was performed on the islets of LepR-Cre Slc7a5^fl/fl mice and control mice at 22–24 weeks of age, followed by quantification of insulin-positive area (n = 6 to 10, *P < 0.05, 2-tailed Student’s t test). Scale bar, 200 μm. (F–H) Representative picture of liver (F), tissue weights (G), and tissue weights normalized to body weight (H) are shown for LepR-Cre Slc7a5^fl/fl mice and control mice at 22–24 weeks of age (n = 17 or 18, ***P < 0.001, 2-tailed Student’s t test). Scale bar, 500 μm. (I) Oil Red O stain was performed on the liver of LepR-Cre Slc7a5^fl/fl mice and control mice at 22–24 weeks of age. Scale bar, 100 μm. All the mice used in this study were male.

Figure 4

LAT1 in LepR-expressing neurons is involved in energy homeostasis and BAT function. (A–F) Food intake (A), locomotor activity (B), O₂ consumption (C), CO₂ production (D), energy expenditure (E), and body temperature (F) were measured in singly housed LepR-Cre Slc7a5^fl/fl mice and control mice at 22–24 weeks of age (n = 7 to 10, *P < 0.05, **P < 0.01, ***P < 0.001, 2-tailed Student’s t test). (G–I) Representative picture of BAT (G), tissue weights (H), and tissue weights normalized to body weight (I) are shown for LepR-Cre Slc7a5^fl/fl mice and control mice at 22–24 weeks of age (n = 17 or 18, **P < 0.01, ***P < 0.001, 2-tailed Student’s t test). Scale bar, 1 cm. (J) H&E stain was performed on the BAT of LepR-Cre Slc7a5^fl/fl mice and control mice at 22–24 weeks of age. Scale bar, 100 μm. (K) Transmission electron microscopy analysis was performed on the BAT of LepR-Cre Slc7a5^fl/fl mice and control mice at 22–24 weeks of age. Scale bar, 10 μm. (L and M) mtDNA content of BAT (L) and mRNA expression (M) were measured in LepR-Cre Slc7a5^fl/fl mice and control mice at 22–24 weeks of age (n = 3 to 4, *P < 0.05, **P < 0.01, ***P < 0.001, 2-tailed Student’s t test). All the mice used in this study were male.

LAT1 in LepR-expressing neurons is implicated in HFD-induced obesity and metabolic dysfunction. To test whether LAT1 in LepR-expressing neurons contributes to metabolic response to diet-induced obesity, we weekly measured body weight of LepR-Cre Slc7a5^fl/fl mice switched to HFD at 7 weeks of age. LepR-Cre Slc7a5^fl/fl mice gained higher body weight starting from 10 weeks of age, accompanied by enlargement of the liver and BAT (Supplemental Figure 4, A–C). Moreover, LepR-Cre Slc7a5^fl/fl mice displayed significant impairments in glucose tolerance and insulin sensitivity (Supplemental Figure 4, D and E). Together, these results suggest that Slc7a5 deficiency in LepR-expressing neurons exacerbates HFD-induced obesity and metabolic dysfunction.

LAT1 in LepR-expressing neurons controls leptin sensitivity and sympathetic tone. Given that LepR-expressing neurons regulate systemic energy homeostasis via the SNS (36), we next assessed the impact of LAT1 in LepR-expressing neurons on sympathetic nerve activity. Epinephrine and norepinephrine levels were significantly lower in the serum and urine of LepR-Cre Slc7a5^fl/fl mice than in control mice before the onset of obesity (7 weeks of age) and after the diagnosis of obesity (24 weeks of age) (Figure 5, A–H). Furthermore, we performed a norepinephrine turnover assay (37), which reflects the total sympathetic drive onto peripheral target tissues, including BAT and the soleus muscle. LepR-Cre Slc7a5^fl/fl mice displayed a significant decrease in norepinephrine turnover in both BAT and soleus muscle tissue compared with control mice at 7 weeks of age (Figure 5, I and J), thereby indicating that Slc7a5 deficiency in LepR-expressing neurons led to loss of sympathetic innervation of BAT and muscle before the onset of obesity.

Figure 5

LAT1 in LepR-expressing VMH neurons regulates leptin sensitivity and sympathetic outflow. (A and B) Serum epinephrine levels were measured in LepR-Cre Slc7a5^fl/fl mice and control mice at 7 (A) or 24 (B) weeks of age (7 wk; n = 8, 24 wk; n = 4, **P < 0.01, 2-tailed Student’s t test). (C and D) Serum norepinephrine levels were measured in LepR-Cre Slc7a5^fl/fl mice and control mice at 7 (C) or 24 (D) weeks of age (7 wk; n = 8, 24 wk; n = 4, ***P < 0.001, 2-tailed Student’s t test). (E and F) Urine epinephrine levels were measured in LepR-Cre Slc7a5^fl/fl mice and control mice at 7 (E) or 24 (F) weeks of age (7 wk; n = 8, 24 wk; n = 4, **P < 0.01, 2-tailed Student’s t test). (G and H) Urine norepinephrine levels were measured in LepR-Cre Slc7a5^fl/fl mice and control mice at 7 (G) or 24 (H) weeks of age (7 wk; n = 8, 24 wk; n = 4, *P < 0.05, 2-tailed Student’s t test). (I and J) Norepinephrine turnover levels of (I) BAT and (J) soleus muscle were measured in LepR-Cre Slc7a5^fl/fl mice and control mice at 24 weeks of age (n = 8 to 10, **P < 0.01, ***P < 0.001, 2-tailed Student’s t test). (K) Serum leptin levels were measured in LepR-Cre Slc7a5^fl/fl mice at 7 weeks of age (n = 8, **P < 0.01, 2-tailed Student’s t test). (L–O) Immunohistochemical analysis of phosphorylated STAT3 activation 2 hours after intraperitoneal injection of 5 mg/kg leptin was performed on the VMH (L and M) and ARC (N and O) of LepR-Cre Slc7a5^fl/fl mice and control mice at 7 weeks of age (n = 3 or 4, *P < 0.05, **P < 0.01, ^#P < 0.05, 2-way ANOVA with Bonferroni post hoc test). Scale bar, 100 μm. Arrowheads indicate representative phosphorylated STAT3/tdTomato double-positive neurons. All the mice used in this study were male.

Serum leptin levels were significantly increased in LepR-Cre Slc7a5^fl/fl mice prior to the onset of obesity (7 weeks of age) (Figure 5K) and after the diagnosis of obesity (24 weeks of age) (Figure 2H). This suggests that Slc7a5 deficiency in LepR-expressing neurons is involved in leptin insensitivity. We therefore hypothesized that LAT1 regulates sympathetic tone by modulating leptin sensitivity (leptin action on LepR-expressing neurons). STAT3 is a well-known direct target of leptin, and its phosphorylation levels reflect leptin sensitivity (3). Systemic leptin administration significantly increased STAT3 phosphorylation in LepR-expressing VMH and ARC neurons. Meanwhile, leptin-induced STAT3 phosphorylation was significantly impaired under Slc7a5 deficiency in LepR-expressing VMH neurons, but not in ARC neurons, prior to the onset of obesity (Figure 5, L–O).

Taken together, these results indicate that LAT1 in LepR-expressing neurons controls leptin sensitivity and subsequent sympathetic outflow to regulate systemic energy homeostasis. This may represent a cause, rather than a secondary consequence, of obesity.

LAT1 in LepR-expressing cells regulates bone homeostasis. Sympathetic tone mediates the central regulation of bone mass by leptin (5, 38). Moreover, VMH neurons are known to control bone homeostasis (1, 39). Given that LepR-Cre Slc7a5^fl/fl mice showed impaired sympathetic tone and leptin insensitivity in LepR-expressing VMH neurons prior to the onset of obesity (Figure 5), we reasoned that LAT1 in LepR-expressing neurons may play an important role in regulating bone homeostasis in addition to energy homeostasis. LepR-Cre Slc7a5^fl/fl mice displayed significantly higher bone mass in the femur but not in the vertebrae than control mice (Figure 6, A–D; Supplemental Figure 5, A and B; and Supplemental Table 1). Bone histomorphometric analyses revealed that bone formation indices (osteoblast number and bone formation rate) were significantly higher in LepR-Cre Slc7a5^fl/fl mice than in control mice (Figure 6, E–G, and Supplemental Table 2). Conversely, a bone resorption index (osteoclast surface) was significantly lower in LepR-Cre Slc7a5^fl/fl mice than in control mice (Figure 6, H and I). We next assessed whether the impairment of sympathetic outflow is involved with the abnormal bone homeostasis of LepR-Cre Slc7a5^fl/fl mice. Systemic administration of isoproterenol, a β-adrenoreceptor agonist, corrected the higher bone mass phenotype of LepR-Cre Slc7a5^fl/fl mice (Figure 6, J and K, and Supplemental Table 3). LepR-Cre mice did not display any abnormalities in bone mass compared to control mice (Supplemental Figure 5, C and D, and Supplemental Table 4).

Figure 6

Bone homeostasis is regulated by LAT1 in LepR-expressing cells. (A) Micro–computed tomography (μCT) analysis (scale bar, 1 mm); (B) bone volume over tissue volume (BV/TV) ratio as determined by μCT (n = 12 or 13, *P < 0.05, 2-tailed Student’s t test); (C) von Kossa stain, scale bar, 1 mm; (D) BV/TV ratio as determined by von Kossa stain (n = 5 or 6, *P < 0.05, 2-tailed Student’s t test); (E) number of osteoblasts/tissue area ratio (n = 5 or 6, **P < 0.01, 2-tailed Student’s t test); (F) calcein labeling (scale bar, 50 μm); (G) bone formation rate (n = 5 or 6, *P < 0.05, 2-tailed Student’s t test); (H) TRAP stain (scale bar, 50 μm; arrowheads indicate TRAP-positive osteoclasts); and (I) osteoclast surface/bone surface ratio of femurs from LepR-Cre Slc7a5^fl/fl mice and control mice at 12–16 weeks of age (n = 3 to 5, **P < 0.01, 2-tailed Student’s t test). TRAP, tartrate-resistant acid phosphatase. (J) μCT analysis, scale bar, 1 mm and (K) BV/TV ratio as determined by μCT of femurs from LepR-Cre Slc7a5^fl/fl mice administrated with isoproterenol at 14 weeks of age (n = 10, **P < 0.01, ^#P < 0.05, 2-tailed Student’s t test with Benjamini-Hochberg correction). (L) Representative images of CFU assays stained with crystal violet and alizarin red (scale bar, 500 μm), (M) mRNA level of Slc7a5 in BM-MSCs (n = 4, **P < 0.01, 2-tailed Student’s t test), and (N and O) quantification of CFU assays stained with crystal violet (N) and alizarin red (O) (n = 6 to 9, **P < 0.01, ***P < 0.001, 2-tailed Student’s t test) in LepR-Cre Slc7a5^fl/fl mice at 6 weeks of age. All the mice used in this study were male.

LepR is also a marker that is highly enriched in bone marrow mesenchymal stem cells (BM-MSCs), and LepR-expressing BM-MSCs represent a major source of bone in adult bone marrow (40). The numbers of both colony-forming unit fibroblasts (CFU-F) and CFU osteoblasts (CFU-Ob) were significantly reduced under Slc7a5 deficiency in BM-MSC culture in vitro, indicating decreased stemness and osteogenic potential of MSCs, which contradicted the high bone mass phenotype of LepR-Cre Slc7a5^fl/fl mice (Figure 6, L–O).

These results raise a possibility that LAT1 in LepR-expressing neurons centrally regulates bone homeostasis in LepR-Cre Slc7a5^fl/fl mice.

LepR-expressing neurons are critical for LAT1-dependent regulation of energy and bone homeostasis. The VMH is a central site for homeostatic regulation of various phenotypes, including those of energy and bone (1, 39, 41–43). In addition, the fact that leptin insensitivity was observed in VMH neurons of LepR-Cre Slc7a5^fl/fl mice before the onset of obesity (Figure 5) alongside impairment in BCAA uptake in the VMH (Figure 2) led us to examine whether LAT1 in LepR-expressing VMH neurons was indeed important for the control of energy and bone homeostasis. To this end, we selectively reexpressed Slc7a5 in LepR-expressing neurons by stereotaxically and bilaterally microinjecting a Cre-inducible adeno-associated virus (AAV), AAV-hSynI-DIO-Slc7a5-mCherry (AAV-Slc7a5), into the VMH of LepR-Cre Slc7a5^fl/fl mice before the onset of obesity (Figure 7A). Viral introduction of Slc7a5 in LepR-expressing VMH neurons almost completely reduced the body weight gain, fat pad accumulation, and insulin insensitivity observed in LepR-Cre Slc7a5^fl/fl mice 9 weeks after AAV injection (Figure 7, B–E). In contrast, Slc7a5 reexpression in the ARC neurons of LepR-Cre Slc7a5^fl/fl mice did not counteract the abnormal energy homeostasis (Supplemental Figure 6, A–F). Moreover, viral introduction of Slc7a5 in the VMH neurons of LepR-Cre Slc7a5^fl/fl mice corrected the high bone mass phenotype, suggesting that LAT1 in LepR-expressing neurons centrally regulates bone mass accrual rather than cell-intrinsic action in bone tissue (Figure 7, F and G, and Supplemental Table 5).

Figure 7

LepR-expressing VMH neurons contribute to LAT1-dependent regulation of systemic energy and bone homeostasis. (A) Schematic diagram of the bilateral viral microinjection into the VMH and representative validation image of mCherry expression in the VMH. Scale bar, 500 μm. (B) Weekly body weight after injection of AAV-Control or AAV-Slc7a5 into the VMH is shown for LepR-Cre Slc7a5^fl/fl mice and control mice (n = 8 to 12, **P < 0.01, ***P < 0.001: versus LepR-Cre/AAV-Control, ^#P < 0.05, ^##P < 0.01, ^###P < 0.001: versus LepR-Cre Slc7a5^fl/fl/AAV-Control, 2-way ANOVA with Bonferroni post hoc test). (C and D) Adipose tissue weights (C) and adipose tissue weights normalized to body weight (D) are shown for LepR-Cre Slc7a5^fl/fl mice and control mice injected with AAV-Control or AAV-Slc7a5 into the VMH at 16 weeks of age (n = 8, **P < 0.01, ***P < 0.001, ^#P < 0.05, ^##P < 0.01, ^###P < 0.001, 2-tailed Student’s t test with Bonferroni correction). (E) ITTs were performed in LepR-Cre Slc7a5^fl/fl mice and control mice injected with AAV-Control or AAV-Slc7a5 into the VMH after a 6-hour fast at 16 weeks of age (n = 3 or 4, *P < 0.05, **P < 0.01: versus LepR-Cre/AAV-Control, ^#P < 0.05, ^##P < 0.01, ^###P < 0.001: versus LepR-Cre Slc7a5^fl/fl/AAV-Control, 2-way ANOVA with Bonferroni post hoc test). (F) μCT analysis (scale bar, 1 mm) and (G) BV/TV ratio as determined by μCT of femurs from LepR-Cre Slc7a5^fl/fl mice and control mice injected with AAV-Control or AAV-Slc7a5 into the VMH at 12–16 weeks of age (n = 6 to 11, *P < 0.05, ^#P < 0.05, 2-way ANOVA with Bonferroni post hoc test). All the mice used in this study were male.

These results demonstrate that LAT1 in LepR-expressing VMH neurons contributes to energy and bone homeostasis.

mTORC1 is a major regulator of energy and bone homeostasis downstream of LAT1. LAT1 facilitates cellular uptake of BCAAs, including leucine, leading to stimulation of mTORC1 signaling (20, 21). mTORC1 signaling, associated with leptin signaling in the hypothalamus, is implicated in the regulation of energy homeostasis, alongside contributing to leptin resistance (32, 44). These previous findings led us to assess whether mTORC1 signaling, which can be affected by leptin, participates in LAT1-dependent regulation of energy and bone homeostasis. Systemic leptin administration significantly increased phosphorylation of ribosomal protein S6, an indicator of mTORC1 activity (45), in LepR-expressing VMH neurons. In addition, leptin-induced mTORC1 activation was significantly suppressed under Slc7a5 deficiency prior to the onset of obesity (Figure 8, A and B).

Figure 8

mTORC1 is a critical regulator of systemic energy homeostasis downstream of LAT1. (A and B) Immunohistochemical analysis of pS6 activation 2 hours after intraperitoneal injection of 5 mg/kg leptin was performed on the VMH of LepR-Cre Slc7a5^fl/fl mice and control mice at 7 weeks of age (n = 3, **P < 0.01, ^#P < 0.05, 2-way ANOVA with Bonferroni post hoc test). Scale bar, 100 μm. Arrowheads indicate pS6/tdTomato double-positive neurons. (C) Gross appearance at 24 weeks of age is shown for LepR-Cre Slc7a5^fl/fl mice, LepR-Cre Slc7a5^fl/fl Tsc1^fl/+ mice, and control mice fed an NC. Scale bar, 1 cm. (D) Weekly body weight is shown for LepR-Cre Slc7a5^fl/fl mice, LepR-Cre Slc7a5^fl/fl Tsc1^fl/+ mice, and control mice fed NC (n = 9 to 11, *P < 0.05, **P < 0.01, ***P < 0.001: versus Slc7a5^fl/fl, ^#P < 0.05, ^##P < 0.01, ^###P < 0.001: versus LepR-Cre Slc7a5^fl/fl, 2-way ANOVA with Bonferroni post hoc test). (E–G) Representative pictures of vWAT, sWAT, and BAT (E); adipose tissue weights (F); and adipose tissue weights normalized to body weight (G) are shown for LepR-Cre Slc7a5^fl/fl mice and control mice at 22–24 weeks of age (n = 12 to 18, **P < 0.01, ***P < 0.001, ^###P < 0.001, 1-way ANOVA with Bonferroni post hoc test). Scale bar, 1 cm. (H) ITTs were performed in LepR-Cre Slc7a5^fl/fl mice, LepR-Cre Slc7a5^fl/fl Tsc1^fl/+ mice, and control mice after a 6-hour fast at 22–24 weeks of age (n = 3 to 9, *P < 0.05, **P < 0.01: versus Slc7a5^fl/fl, ^##P < 0.01, ^###P < 0.001: versus LepR-Cre Slc7a5^fl/fl, 2-way ANOVA with Bonferroni post hoc test). All the mice used in this study were male.

Tuberous sclerosis complex 1 (Tsc1), also known as hamartin, is a critical negative regulator of mTORC1 (45). To assess whether mTORC1 signaling is directly involved in the abnormal regulation of energy and bone homeostasis observed in LepR-Cre Slc7a5^fl/fl mice, we generated LepR-Cre Slc7a5^fl/fl mice lacking 1 copy of the floxed Tsc1 allele (LepR-Cre Slc7a5^fl/fl Tsc1^fl/+). The obesity, fat accumulation, and insulin insensitivity in LepR-Cre Slc7a5^fl/fl mice were ameliorated in LepR-Cre Slc7a5^fl/fl Tsc1^fl/+ mice (Figure 8, C–H). Moreover, the high bone mass phenotype of LepR-Cre Slc7a5^fl/fl mice was almost completely corrected in LepR-Cre Slc7a5^fl/fl Tsc1^fl/+ mice (Figure 9, A and B, and Supplemental Table 6). LepR-Cre Tsc1^fl/+ mice did not display any abnormalities in body weight, glucose tolerance, insulin sensitivity, adipose tissue weights, and bone mass compared to control mice (Supplemental Figure 7, A–G, and Supplemental Table 7).

Figure 9

mTORC1 is a critical regulator of bone homeostasis downstream of LAT1. (A) μCT analysis, scale bar, 1 mm; and (B) BV/TV ratio as determined by μCT of femurs from LepR-Cre Slc7a5^fl/fl mice, LepR-Cre Slc7a5^fl/fl Tsc1^fl/+ mice, and control mice at 12–16 weeks of age (n = 3 to 14, ***P < 0.001, ^#P < 0.05, 1-way ANOVA with Bonferroni post hoc test). (C) Working model of the findings of this study. All the mice used in this study were male.

Taken together, these results indicate that LAT1 in LepR-expressing VMH neurons contributes to energy and bone homeostasis through mTORC1 signaling.

Discussion

This study revealed that genetic inactivation of LAT1 in LepR-expressing neurons led to metabolic and skeletal abnormalities. These abnormalities may have been consequences of decreased amino acid uptake and leptin insensitivity in neurons and subsequent inactivation of sympathetic outflow to target organs. To the best of our knowledge, this is the first study to indicate that LAT1 in LepR-expressing neurons is the primary and central amino acid sensor involved in the co-regulation of energy and bone homeostasis (Figure 9C).

There are 2 major intracellular amino acid–sensing mechanisms: 1) the general amino acid control (GAAC) pathway mediated by general control nonderepressible 2 (GCN2) and activating transcription factor 4 and 2) the mTORC1 pathway (46–48). It is controversial whether GCN2 expressed in the brain can sense amino acids in the diet (49–51). mTORC1 acts as a sensor of energy status in the hypothalamus in a neuron type– and context-dependent manner (4). The activity of mTORC1 is suppressed in the VMH under a fasting state or in leptin-deficient ob/ob mice (52, 53), whereas refeeding markedly decreases mTORC1 activity in the VMH in both lean and obese rats (54). Moreover, hypothalamic PI3K/mTORC1 signaling is critical for mediating the SNS effects of leptin (55). Given that genetic activation of mTORC1 almost completely corrected both the metabolic abnormalities and the high bone mass in Slc7a5-deficient mice, our findings suggest that mTORC1 signaling rather than the GAAC pathway is the pivotal effector downstream of LAT1 in LepR-expressing VMH neurons.

VMH neurons are central to the balance between energy and bone metabolism. Indeed, electric and chemical lesioning and cell-specific gene deletion in VMH neurons can incur an imbalance in energy and bone homeostasis (1, 38, 39, 56). In this study, Slc7a5 deficiency led to leptin insensitivity in LepR-expressing neurons and decreased sympathetic outflow prior to the onset of obesity. Notably, preferential reexpression of Slc7a5 in LepR-expressing VMH neurons almost completely corrected the high bone mass phenotype as well as metabolic abnormalities in Slc7a5-deficient mice, indicating that LAT1 in LepR-expressing VMH neurons contributes to the control of energy and bone homeostasis through modulation of sympathetic outflow to target organs. Given that LepR is expressed in a variety of regions within the brain, including the midbrain, brainstem, and hypothalamus (57), we could not exclude the possibility that LAT1 in LepR-expressing neurons in other brain areas is involved in energy and bone homeostasis. Future research will be required to characterize the role of LAT1 in different hypothalamic regions using Sf1-Cre, Agrp-Cre, and Pomc-Cre mice (58–60).

Further studies are necessary to identify the specific neural circuit whereby energy and bone metabolism is regulated by the LAT1/mTORC1 axis in LepR-expressing neurons. VMH neurons send direct neuronal projections to the subregion of the nucleus tractus solitarius, which is known to modulate sympathetic activity (39). The paraventricular nucleus of the hypothalamus is a known sympathetic premotor region in the CNS that regulates energy homeostasis (61, 62). Moreover, the rostral raphe pallidus in the rostral ventromedial medulla projects to BAT sympathetic preganglionic neurons in the spinal intermediolateral nucleus (63). Accordingly, these regions could represent intermediate neuronal populations through which the LAT1/mTORC1 axis in VMH neurons regulates energy and bone homeostasis through sympathetic tone.

It should be emphasized that the LAT1-dependent amino acid uptake system is operational in the hypothalamus. We were unable to precisely identify the neuron types in which LAT1 was operational in the hypothalamus owing to limitations of radioisotope-labeled amino acid uptake experiments. However, the downregulation of LAT1-dependent amino acid uptake in the hypothalamus of the obese/diabetic mouse model points to a possible inverse association between LAT1 function in the hypothalamus and the impairment of energy homeostasis, although the mechanisms governing LAT1 function in the hypothalamus remain unclear.

In conclusion, the current findings highlight a critical mechanism underlying energy and bone homeostasis via the amino acid sensor LAT1 in LepR-expressing neurons. Although the effect of BCAA-rich status on energy and bone homeostasis in Slc7a5-deficient mice should be examined to further define the physiological role of LAT1 in LepR-expressing neurons, this represents a potentially novel molecular connection among a nutritional signal in the CNS, energy homeostasis, and skeletal integrity. LAT1 has been proposed as a promising target for diagnostic cancer imaging and anticancer therapeutics (64, 65). We suggest that manipulation of the hypothalamic LAT1/mTORC1 axis represents a plausible diagnostic and therapeutic strategy for coordinating the sophisticated energy balance and skeletal integrity required for protection against osteoporosis and obesity in humans.

Methods

Mice. Tsc1^fl/fl mice (66) (005680), Rosa26-tdTomato mice (67) (007908), and LepR-Cre mice (68) (008320) were obtained from Thr Jackson Laboratory. db/db mice were obtained from Japan SLC. Slc7a5^fl/fl mice, Tsc1^fl/fl mice, and Rosa26-tdTomato mice were crossed with LepR-Cre mice. These mutant mice were backcrossed more than 5 generations with C57BL/6J. Mice were bred under standard animal housing conditions at 23 ± 1°C with humidity of 55% and a 12-hour light/12-hour dark cycle, with free access to either normal chow or HFD (Research Diets, D12492; 60% from fat, 5.24 kcal/g) and water. To measure the effects of isoproterenol (FUJIFILM Wako Pure Chemical I874200), mice at 12 weeks of age were used and were administrated with isoproterenol (15 mg/kg of body weight, daily i.p. injection) for 2 weeks. All the studies described here used male mice. Genotyping was performed by PCR using tail genomic DNA with specific primers (Supplemental Table 8). The study protocol meets the guidelines of the Japanese Pharmacological Society and was approved by the Committee for the Ethical Use of Experimental Animals at Gifu Pharmaceutical University, Gifu University, and Kanazawa University. The number of animals used per experiment is stated in the figure legends.

Validation of deletion efficiency and specificity. Brain samples were coronally sliced to a thickness of 1.0 mm (bregma, –0.5 to –2.5 mm) according to Paxinos and Franklin’s the Mouse Brain in Stereotaxic Coordinates (69) with Brain Matrix (ASI Instruments, RBM-2000C), and each region of the hypothalamus (ARC and VMH) was microdissected using a razor blade (Electron Microscopy Sciences). Genomic DNA and RNA were extracted from each microdissected region of hypothalamus, adipose tissue (vWAT, sWAT, and BAT), muscle, and liver, followed by PCR with specific primers (Supplemental Table 9).

Metabolic study and physiological measurements. GTTs were conducted as follows. Glucose (2 g/kg) was injected intraperitoneally into mice after a 6-hour fast, and blood glucose levels were monitored using blood glucose strips and an Accu-Check glucometer (Roche) at the indicated times. For ITTs, insulin (1.5 U/kg) was injected intraperitoneally into mice after a 6-hour fast, and blood glucose levels were monitored as described previously (70).

Metabolic rate was measured by indirect calorimetry in mice using Oxymax/CLAMS (Columbus Instruments). Mice were individually housed in chambers maintained at 24 ± 1°C and given free access to food (normal chow) and water. The colonic temperature was measured with a rectal thermometer (Natsume Seisakusho, KN-91). During the study, samples were taken at 13-minute intervals to measure O₂ consumption and CO₂ production and to calculate energy expenditure. Food intake and locomotive activity were automatically measured every 20 minutes by the cFDM-300AS system (MELQUEST Ltd.).

Bone histomorphometric analysis and x-ray μCT analysis. Bone histomorphometric analyses were performed on undecalcified long bones and vertebrae in accordance with previously described methods (71). Briefly, the bone was fixed with 4% paraformaldehyde, followed by dehydration in an ethanol series, and subsequently embedded in methyl methacrylate resin. The BV/TV ratio was measured by von Kossa staining. Osteoblast and osteoclast parameters were analyzed by toluidine blue staining (FUJIFILM Wako Pure Chemical 1B481) and TRAP staining (Cosmo Bio PMC-AK04F-COS), respectively. Analyses were performed using the OsteoMeasure analysis system (OsteoMetrics), according to standard protocols. Trabecular architecture was assessed in long bones using a μCT system (Comscan) at 90 kV and 45 μA, and the BV/TV ratio was measured using TRI/3D-BON software (RATOC) (25). Calcein was injected twice into mice with an interval of 3 days, and then, mice were sacrificed 2 days after the last injection.

Real-time quantitative PCR. Total RNA was extracted from the tissues using an RNA extraction kit (Nippon Genetics FG-80250), followed by cDNA synthesis using reverse transcriptase (Thermo Fisher Scientific 28025013) and oligo-dT primers. The cDNA samples were then used as templates for real-time PCR, which was performed on the MX3000P instrument (Agilent Technologies), by using specific primers for each gene (Supplemental Table 10). Dissociation curves for each PCR were used to confirm the specificity of the amplification. The levels of the gene transcripts examined were normalized using Gapdh as an internal control for each sample (72). For mtDNA quantification, total DNA containing nuclear DNA and mtDNA was extracted from tissues, followed by purification by phenol/chloroform extraction and EtOH precipitation. Real-time PCR was performed as described above to quantify mtDNA using specific primers for mtDNA and nuclear DNA (Supplemental Table 11). The copy number of mtDNA was normalized with nuclear DNA.

[¹²⁵I]IMT uptake assay. [¹²⁵I]IMT, which we synthesized, uptake assay was performed as previously described (25). High-performance liquid chromatography (HPLC) was performed with a COSMOSIL 5C18-AR-II column (4.6 inner diameter [ID] mm × 150 mm; Nacalai Tesque) at a flow rate of 1 mL/min with a gradient mobile phase of 20% methanol in water with 0.1% trifluoroacetic acid (TFA) to 40% methanol in water with 0.1% TFA for 20 minutes. The column temperature was maintained at 40°C. Microdissected ARC/VMH-rich region of hypothalamus was washed twice with HBSS and subsequently incubated in HBSS at 37°C for 10 minutes in a 5% CO₂ incubator. Samples were then incubated with [¹²⁵I]IMT at 4 or 37°C for 30 minutes. Samples were treated with JPH203 (MilliporeSigma SML1892) at 30 μM. The reaction was terminated by the aspiration of buffer, followed by superficial rinsing with ice-cold HBSS containing 1 mM unlabeled l-α-methyltyrosine (MilliporeSigma 286680) at 4°C 3 times to remove extracellular [¹²⁵I]IMT. Samples were lysed using 0.1 M NaOH. The radioactivity was measured by a γ-counter (Hitachi Ltd., ARC-7010). Protein concentration was determined with a Protein Assay Bicinchoninate Kit (Nacalai Tesque).

Cell culture. HEK293T cells were purchased from RIKEN Cell Bank. These cells were cultured at 37°C in a 5% CO₂ incubator and maintained in DMEM supplemented with 10% fetal bovine serum (FBS) and 1% penicillin/streptomycin.

Primary BM-MSCs were isolated as follows. Briefly, the femur and tibia were isolated and soft tissue was removed. The epiphyses were removed and bone marrow cells were collected by centrifugation at 300g for 5 minutes at room temperature. Red blood cells were lysed with ammonium chloride. Cells were cultured at a density of 4 × 10⁶ cells/well in 6-well plates with α-MEM supplemented with 20% FBS and 1% penicillin/streptomycin at 37°C in a 5% CO₂ incubator. For CFU-F assays, after 14 days in culture, CFU-F colonies were stained by crystal violet solution (FUJIFILM Wako Pure Chemical 038-04862) and counted. For CFU-Ob assays, after 5 days in culture, osteoblast differentiation was initiated by replacing the medium with α-MEM supplemented with 10% FBS, 50 μg/mL ascorbic acid, 10 mM β-glycerophosphate, and 1% penicillin/streptomycin for 14 days. CFU-Ob colonies were assessed by alizarin red staining (FUJIFILM Wako Pure Chemical 011-01192). Clusters of more than 50 cells were considered colonies.

Amino acid analysis. The concentrations of amino acids in the VMH- and ARC-rich regions and plasma were measured by liquid chromatography-tandem mass spectrometry (LC-MS/MS) after derivatization with 3-aminopyridyl-N-hydroxysuccinimidyl carbamate (APDS) in accordance with a previous method (73), with minor modifications. For the measurement of amino acids in the VMH- and ARC-rich regions of hypothalamus, tissue samples were quickly homogenized with 300 μL of ice-cold acetonitrile, containing gabapentin, used as internal standard. For the measurement of amino acids in plasma samples, 5 μL of plasma samples were mixed with 195 μL of ice-cold methanol, containing gabapentin. The mixture was centrifuged at 25,000g for 10 minutes at 4°C to precipitate proteins. Forty μL of the supernatant was mixed with 40 μL of 90 mM sodium borate buffer (pH 8.8) and 10 μL of APDS solution (5 mg/mL in dried acetonitrile). The mixture was incubated at 55°C for 1 hour, followed by addition of 10 μL of 60 mM aspartic acid solution and subsequent incubation for further 60 minutes. Then, the mixture was added with 90 μL of water containing 0.1% formic acid to terminate the reaction.

The APDS-reacted samples were subjected to LC-MS/MS, consisting of a Nexera HPLC system (Shimadzu) coupled to a triple-quadrupole mass spectrometer (Shimadzu, LCMS-8040), using an L-column2 ODS (3 μm, 2.0 mm ID × 150 mm, Chemicals Evaluation and Research Institute). The column temperature was maintained at 50°C, and the flow rate was 0.4 mL/min. The mobile phases were (A) 10 mM ammonium formate in water and (B) 5 mM ammonium formate in methanol. The gradient elution was performed as follows: 0–1.0 minutes, 99% A/1% B; 1.0–5.0 minutes, 99% A/1% B to 80% A/20% B; 5.0–9.0 minutes, 80% A/20% B to 71% A/29% B; 9.0–16.0 minutes, 71% A/29% B to 69% A/31% B; 16.0–20.0 minutes, 69% A/31% B to 5% A/95% B; 20.0–21.0 minutes, 5% A/95% B; 21.0–21.2 minutes, 5% A/95% B to 99% A/1% B; 21.2–25.0 minutes, 99% A/1% B. The autosampler temperature was maintained at 4°C, and the injection volume was 3 μL. Multiple reaction monitoring in positive ion mode was set at 253.0 > 121.0 for Asp-APDS, 226.0 > 121.0 for Ser-APDS, 196.0 > 121.0 for Gly-APDS, 267.0 > 121.0 for Gln-APDS, 276.0 > 156.1 for His-APDS, 210.0 > 121.0 for Ala-APDS, 240.0 > 121.0 for Thr-APDS, 236.0 > 121.0 for Pro-APDS, 302.0 > 121.0 for Tyr-APDS, 238.0 > 121.0 for Val-APDS, 270.0 > 121.0 for Met-APDS, 325.1 > 121.0 for Trp-APDS, 252.1 > 121.0 for Leu-APDS and Ile-APDS, 286.1 > 121.0 for Phe-APDS, 292.1 > 121.0 for gabapentin-APDS. Although the molecular weight of leucine and isoleucine is the same, these 2 amino acids were separated by the column. Data analyses were carried out using LabSolutions Insight (Shimadzu, ver. 3.5) and quantified using sample peak height.

Hormone measurements. The levels of leptin, insulin, norepinephrine, and epinephrine were measured using a mouse leptin ELISA kit (R&D Systems, 498-OB), mouse insulin ELISA kit (Abcam ab277390), and Mouse Epinephrine/Norepinephrine ELISA Kit (Abnova, KA1877), respectively.

Norepinephrine turnover assay. Norepinephrine turnover was assessed by measuring the decrease in the organ norepinephrine concentration after α-methyltyrosine injection, as described previously (37). Mice were sacrificed by cervical dislocation 0 and 3 hours after α-methyltyrosine injection (300 mg/kg, i.p.), and BAT and soleus muscle were rapidly removed. Organ samples were homogenized in ice-cold 0.2 M perchloric acid containing 0.1 mM EDTA. After the removal of proteins by centrifugation, samples were placed at –80°C until analysis. The samples were analyzed by BIO MEDICAL LABORATORIES profiling service using an HPLC system.

Transmission electron microscopy. Tissues were fixed in a solution of 4% paraformaldehyde and 0.5% glutaraldehyde/0.1 M cacodylate. Osmium tetroxide fixation was performed to stabilize lipids following paraformaldehyde/glutaraldehyde fixation. After fixation, samples were dehydrated in increasing concentrations of ethanol. Then dehydrated samples were embedded in Quetol651 resin (Nisshin EM), followed by polymerization at 60°C. The 80 nm ultrathin sections were prepared using a diamond knife (ULTRA, 2.5 mm width, angle 45°, Nisshin EM) equipped with ultracut UCT ultramicrotome (Leica Microsystems) and then mounted on nickel grids (EM fine grid F100, 219 μm 263-N, Nisshin EM). The sections were stained with uranyl acetate, followed by lead citrate to enhance contrast. These processes were done by dipping the grids in droplets of stain, followed by water rinses. After washing with pure water, the grids were imaged with a transmission electron microscope (1200EX; JEOL Ltd. or H7650; Hitachi High-Technologies Corp.) by using the transmission electron image mode and an accelerating voltage of 80 kV.

Generation of AAV vector and microinjection of AAV. pAAV-hSynI-DIO-HA-Slc7a5-mCherry vector was generated by replacing rM3D(Gs) cDNA in pAAV-hSyn-DIO-rM3D(Gs)-mCherry (Addgene 50458, a gift from Bryan Roth, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA) with a mouse Slc7a5 cDNA from pCMV6-Slc7a5 (Origene, MC217270) vector. pAAV-hSynI-DIO-HA-mCherry vector was generated by deleting rM3D(Gs) cDNA from pAAV-hSyn-DIO-rM3D(Gs)-mCherry. Recombinant AAV vectors (AAV-rh10) expressing mCherry (AAV-Control) or Slc7a5 (AAV-Slc7a5) in a Cre-dependent manner were produced using a triple-transfection, helper-free method and purified as described previously (74). The titers of recombinant AAV vectors were determined by quantitative PCR: AAV-Control, 1 × 10¹²; AAV-Slc7a5, 1 × 10¹² genome copies/mL. For microinjection, a small incision was made to expose the skull and drilled at the injection site under aseptic environments using 3 types of mixed anesthetic agents at 7 weeks of age as previously described. AAVs were injected at a rate of 100 nL/min for 10 minutes into the VMH (bregma: x: ±0.3 mm, y: –1.46 mm, z: 5.5 mm) using a micromanipulator (MUROMACHI KIKAI, IMPACT-1000), and the injector remained in place for an additional 5 minutes before removal.

Bioinformatics. For mouse studies, we used the RNA-Seq data of VMH and ARC derived from normal chow– or HFD-fed wild-type mice deposited in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database (GSE148641) (75). Data acquisition and quality check were performed using SRA Toolkit (v2.10.4) and FastQC (v0.11.8), respectively. Then, we aligned sequence reads with STAR (v2.7.3a) and calculated read counts and transcripts per million (TPM) by RSEM (v1.3.3) against the mouse reference sequence (GRCm38). Calculating counts per million and differential expression analysis between 2 groups were done using edgeR package in R (v4.0.2). Gene set enrichment analysis was performed with clusterProfiler package in R. For human studies, we obtained TPM values from the GTEx project. For multiple-comparison analysis, we used Kruskal-Wallis test with post hoc Dunn’s test with Bonferroni correction.

Histology. Mouse tissues were fixed with 4% paraformaldehyde, embedded in paraffin, and sectioned at 5 μm. Sections were stained with H&E or Oil Red O or subjected to immunohistochemical stain. For immunohistochemical stain of pancreas, anti-insulin antibody (Santa Cruz Biotechnology, 8033, 1:1,000) and DAB substrate kit (Vector Laboratories, SK-4100) were used. For immunohistochemical stain of brains, frozen sections were cut at a thickness of 20 μm using a cryostat (Leica Microsystems, CM3050S), and anti–phospho-STAT3 antibody (Cell Signaling Technologies, 9145, 1:200), anti–phospho-S6 ribosomal protein antibody (Cell Signaling Technologies, 4858, 1:500), and Alexa Fluor 488 anti–rabbit IgG (Invitrogen, A11008, 1:1,000) were used. Sections were rinsed and mounted on glass slides using mounting medium and captured using a fluorescence microscope (Keyence, BZ-X810).

Data availability. The bioinformatic data used for the analyses described in this manuscript were obtained from the NCBI GEO database (GSE148641) or the GTEx project (dbGaP accession number phs000424.v8.p2).

Statistics. Unless otherwise specified, all results are expressed as mean ± SEM; box plots show the interquartile range (box), median (line), and minimum and maximum (whiskers). Statistical significance was determined by the 2-tailed Student’s t test or the 1-way or 2-way ANOVA with Bonferroni post hoc test.

Study approval. All animal experiments were approved by the Committee for the Ethical Use of Experimental Animals at Gifu Pharmaceutical University, Gifu University, and Kanazawa University.

Acknowledgments

We thank P.M. Taylor (University of Dundee, Dundee, United Kingdom) for his critical reading of the manuscript and reagent. This work was supported in part by the Japan Society for the Promotion of Science (17KT0051, 18H04971, and 20H03407 to EH), the Japan Agency for Medical Research and Development (17824969 to EH), Yamaguchi Endocrine Research Foundation (to KF), and Chugai Foundation for Innovative Drug Discovery Science (to KF). The super-computing resource was provided by Human Genome Center, the Institute of Medical Science, the University of Tokyo.

Address correspondence to: Eiichi Hinoi, 1-25-4, Daigaku-nishi, Gifu, 501-1196, Japan. Phone: 81.0.58.230.8123; Email: hinoi-e@gifu-pu.ac.jp.

References

Sun JS, et al. Ventromedial hypothalamic primary cilia control energy and skeletal homeostasis. J Clin Invest. 2021;131(1):138107.
View this article via: JCI CrossRef PubMed Google Scholar

Wang P, et al. A leptin-BDNF pathway regulating sympathetic innervation of adipose tissue. Nature. 2020;583(7818):839–844.
View this article via: CrossRef PubMed Google Scholar

Pan WW, et al. Leptin and the maintenance of elevated body weight. Nat Rev Neurosci. 2018;19(2):95–105.
View this article via: CrossRef PubMed Google Scholar

Hu F, et al. Hypothalamic roles of mTOR complex I: integration of nutrient and hormone signals to regulate energy homeostasis. Am J Physiol Endocrinol Metab. 2016;310(11):E994–E1002.
View this article via: CrossRef PubMed Google Scholar

Takeda S, et al. Leptin regulates bone formation via the sympathetic nervous system. Cell. 2002;111(3):305–317.
View this article via: CrossRef PubMed Google Scholar

Roh E, et al. Emerging role of the brain in the homeostatic regulation of energy and glucose metabolism. Exp Mol Med. 2016;48(3):e216.
View this article via: CrossRef PubMed Google Scholar

Blouet C, et al. Mediobasal hypothalamic leucine sensing regulates food intake through activation of a hypothalamus-brainstem circuit. J Neurosci. 2009;29(26):8302–8311.
View this article via: CrossRef PubMed Google Scholar

Kanamori K, et al. Rate of glutamate synthesis from leucine in rat brain measured in vivo by 15N NMR. J Neurochem. 1998;70(3):1304–1315.
View this article via: PubMed Google Scholar

Voog L, Eriksson T. Relationship between plasma and brain large neutral amino acids in rats fed diets with different compositions at different times of the day. J Neurochem. 1992;59(5):1868–1874.
View this article via: CrossRef PubMed Google Scholar

Glaeser BS, et al. Changes in brain levels of acidic, basic, and neutral amino acids after consumption of single meals containing various proportions of protein. J Neurochem. 1983;41(4):1016–1021.
View this article via: CrossRef PubMed Google Scholar

Zhou M, et al. Targeting BCAA catabolism to treat obesity-associated insulin resistance. Diabetes. 2019;68(9):1730–1746.
View this article via: CrossRef PubMed Google Scholar

Newgard CB, et al. A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab. 2009;9(4):311–326.
View this article via: CrossRef PubMed Google Scholar

Solon-Biet SM, et al. Branched chain amino acids impact health and lifespan indirectly via amino acid balance and appetite control. Nat Metab. 2019;1(5):532–545.
View this article via: CrossRef PubMed Google Scholar

Yu D, et al. The adverse metabolic effects of branched-chain amino acids are mediated by isoleucine and valine. Cell Metab. 2021;33(5):905–922.
View this article via: CrossRef PubMed Google Scholar

Ammann P, et al. Dietary essential amino acid supplements increase bone strength by influencing bone mass and bone microarchitecture in ovariectomized adult rats fed an isocaloric low-protein diet. J Bone Miner Res. 2002;17(7):1264–1272.
View this article via: CrossRef PubMed Google Scholar

Jennings A, et al. Amino acid intakes are associated with bone mineral density and prevalence of low bone mass in women: evidence from discordant monozygotic twins. J Bone Miner Res. 2016;31(2):326–335.
View this article via: CrossRef PubMed Google Scholar

Su Y, et al. Circulating amino acids are associated with bone mineral density decline and ten-year major osteoporotic fracture risk in older community-dwelling adults. Bone. 2019;129:115082.
View this article via: CrossRef PubMed Google Scholar

Yanagida O, et al. Human L-type amino acid transporter 1 (LAT1): characterization of function and expression in tumor cell lines. Biochim Biophys Acta. 2001;1514(2):291–302.
View this article via: CrossRef PubMed Google Scholar

Kanai Y, et al. Expression cloning and characterization of a transporter for large neutral amino acids activated by the heavy chain of 4F2 antigen (CD98). J Biol Chem. 1998;273(37):23629–23632.
View this article via: CrossRef PubMed Google Scholar

Goberdhan DC, et al. Amino acid sensing by mTORC1: intracellular transporters mark the spot. Cell Metab. 2016;23(4):580–589.
View this article via: CrossRef PubMed Google Scholar

Dodd KM, Tee AR. Leucine and mTORC1: a complex relationship. Am J Physiol Endocrinol Metab. 2012;302(11):E1329–E1342.
View this article via: CrossRef PubMed Google Scholar

Zhang J, et al. Review of the correlation of LAT1 with diseases: mechanism and treatment. Front Chem. 2020;8:564809.
View this article via: CrossRef PubMed Google Scholar

Kandasamy P, et al. Amino acid transporters revisited: new views in health and disease. Trends Biochem Sci. 2018;43(10):752–789.
View this article via: CrossRef PubMed Google Scholar

Iwahashi S, et al. Conditional inactivation of the L-type amino acid transporter LAT1 in chondrocytes models idiopathic scoliosis in mice. J Cell Physiol. 2022;237(11):4292–4302.
View this article via: CrossRef PubMed Google Scholar

Ozaki K, et al. The L-type amino acid transporter LAT1 inhibits osteoclastogenesis and maintains bone homeostasis through the mTORC1 pathway. Sci Signal. 2019;12(589):eaaw3921.
View this article via: CrossRef PubMed Google Scholar

Poncet N, et al. The catalytic subunit of the system L1 amino acid transporter (slc7a5) facilitates nutrient signalling in mouse skeletal muscle. PLoS One. 2014;9(2):e89547.
View this article via: CrossRef PubMed Google Scholar

Poncet N, et al. Wnt regulates amino acid transporter Slc7a5 and so constrains the integrated stress response in mouse embryos. EMBO Rep. 2020;21(1):e48469.
View this article via: PubMed Google Scholar

Kageyama T, et al. Distribution of the 4F2 light chain, LAT1, in the mouse brain. Neuroreport. 2000;11(17):3663–3666.
View this article via: CrossRef PubMed Google Scholar

Ishizuka Y, et al. Leucine induces phosphorylation and activation of p70S6K in cortical neurons via the system L amino acid transporter. J Neurochem. 2008;106(2):934–942.
View this article via: CrossRef PubMed Google Scholar

Tărlungeanu DC, et al. Impaired amino acid transport at the blood brain barrier is a cause of autism spectrum disorder. Cell. 2016;167(6):1481–1494.
View this article via: CrossRef PubMed Google Scholar

Morrison CD, et al. Amino acids inhibit Agrp gene expression via an mTOR-dependent mechanism. Am J Physiol Endocrinol Metab. 2007;293(1):E165–E171.
View this article via: CrossRef PubMed Google Scholar

Cota D, et al. Hypothalamic mTOR signaling regulates food intake. Science. 2006;312(5775):927–930.
View this article via: CrossRef PubMed Google Scholar

Reilly JJ, et al. Determining the worldwide prevalence of obesity. Lancet. 2018;391(10132):1773–1774.
View this article via: CrossRef PubMed Google Scholar

Rachner TD, et al. Osteoporosis: now and the future. Lancet. 2011;377(9773):1276–1287.
View this article via: CrossRef Google Scholar

Uchino H, et al. Transport of amino acid-related compounds mediated by L-type amino acid transporter 1 (LAT1): insights into the mechanisms of substrate recognition. Mol Pharmacol. 2002;61(4):729–737.
View this article via: CrossRef PubMed Google Scholar

Jiang L, et al. Leptin receptor-expressing neuron Sh2b1 supports sympathetic nervous system and protects against obesity and metabolic disease. Nat Commun. 2020;11(1):1517.
View this article via: CrossRef Google Scholar

Teramura Y, et al. Organ-specific changes in norepinephrine turnover against various stress conditions in thermoneutral mice. Jpn J Vet Res. 2014;62(3):117–127.
View this article via: PubMed Google Scholar

Yadav VK, et al. A serotonin-dependent mechanism explains the leptin regulation of bone mass, appetite, and energy expenditure. Cell. 2009;138(5):976–989.
View this article via: CrossRef PubMed Google Scholar

Yang F, et al. A GABAergic neural circuit in the ventromedial hypothalamus mediates chronic stress-induced bone loss. J Clin Invest. 2020;130(12):6539–6554.
View this article via: JCI CrossRef PubMed Google Scholar

Zhou BO, et al. Leptin-receptor-expressing mesenchymal stromal cells represent the main source of bone formed by adult bone marrow. Cell Stem Cell. 2014;15(2):154–168.
View this article via: CrossRef PubMed Google Scholar

Choi YH, et al. Revisiting the ventral medial nucleus of the hypothalamus: the roles of SF-1 neurons in energy homeostasis. Front Neurosci. 2013;7:71.
View this article via: PubMed Google Scholar

Idelevich A, Baron R. Brain to bone: what is the contribution of the brain to skeletal homeostasis? Bone. 2018;115:31–42.
View this article via: CrossRef PubMed Google Scholar

King BM. The rise, fall, and resurrection of the ventromedial hypothalamus in the regulation of feeding behavior and body weight. Physiol Behav. 2006;87(2):221–244.
View this article via: CrossRef PubMed Google Scholar

Blouet C, et al. Mediobasal hypothalamic p70 S6 kinase 1 modulates the control of energy homeostasis. Cell Metab. 2008;8(6):459–467.
View this article via: CrossRef PubMed Google Scholar

Liu GY, Sabatini DM. mTOR at the nexus of nutrition, growth, ageing and disease. Nat Rev Mol Cell Biol. 2020;21(4):183–203.

Bröer S, Bröer A. Amino acid homeostasis and signalling in mammalian cells and organisms. Biochem J. 2017;474(12):1935–1963.
View this article via: CrossRef PubMed Google Scholar

Chen R, et al. The general amino acid control pathway regulates mTOR and autophagy during serum/glutamine starvation. J Cell Biol. 2014;206(2):173–182.
View this article via: CrossRef PubMed Google Scholar

Hay N, Sonenberg N. Upstream and downstream of mTOR. Genes Dev. 2004;18(16):1926–1945.
View this article via: CrossRef PubMed Google Scholar

Leib DE, Knight ZA. Re-examination of dietary amino acid sensing reveals a GCN2-independent mechanism. Cell Rep. 2015;13(6):1081–1089.
View this article via: CrossRef PubMed Google Scholar

Maurin AC, et al. The GCN2 kinase biases feeding behavior to maintain amino acid homeostasis in omnivores. Cell Metab. 2005;1(4):273–277.
View this article via: CrossRef PubMed Google Scholar

Hao S, et al. Uncharged tRNA and sensing of amino acid deficiency in mammalian piriform cortex. Science. 2005;307(5716):1776–1778.
View this article via: CrossRef PubMed Google Scholar

Danguir J, Nicolaidis S. Chronic intracerebroventricular infusion of insulin causes selective increase of slow wave sleep in rats. Brain Res. 1984;306(1–2):97–103.
View this article via: PubMed Google Scholar

Proulx K, et al. Fatty acid synthase inhibitors modulate energy balance via mammalian target of rapamycin complex 1 signaling in the central nervous system. Diabetes. 2008;57(12):3231–3238.
View this article via: CrossRef PubMed Google Scholar

Hurtado-Carneiro V, et al. Glucagon-like peptide 1 (GLP-1) can reverse AMP-activated protein kinase (AMPK) and S6 kinase (P70S6K) activities induced by fluctuations in glucose levels in hypothalamic areas involved in feeding behaviour. Mol Neurobiol. 2012;45(2):348–361.
View this article via: CrossRef PubMed Google Scholar

Harlan SM, et al. Hypothalamic mTORC1 signaling controls sympathetic nerve activity and arterial pressure and mediates leptin effects. Cell Metab. 2013;17(4):599–606.
View this article via: CrossRef PubMed Google Scholar

Oury F, et al. CREB mediates brain serotonin regulation of bone mass through its expression in ventromedial hypothalamic neurons. Genes Dev. 2010;24(20):2330–2342.
View this article via: CrossRef PubMed Google Scholar

Allison MB, et al. TRAP-seq defines markers for novel populations of hypothalamic and brainstem LepRb neurons. Mol Metab. 2015;4(4):299–309.
View this article via: CrossRef PubMed Google Scholar

Tong Q, et al. Synaptic release of GABA by AgRP neurons is required for normal regulation of energy balance. Nat Neurosci. 2008;11(9):998–1000.
View this article via: CrossRef PubMed Google Scholar

Dhillon H, et al. Leptin directly activates SF1 neurons in the VMH, and this action by leptin is required for normal body-weight homeostasis. Neuron. 2006;49(2):191–203.
View this article via: CrossRef PubMed Google Scholar

Balthasar N, et al. Leptin receptor signaling in POMC neurons is required for normal body weight homeostasis. Neuron. 2004;42(6):983–991.
View this article via: CrossRef PubMed Google Scholar

Ranson RN, et al. The paraventricular nucleus of the hypothalamus sends efferents to the spinal cord of the rat that closely appose sympathetic preganglionic neurones projecting to the stellate ganglion. Exp Brain Res. 1998;120(2):164–172.
View this article via: CrossRef PubMed Google Scholar

Sutton AK, et al. The role of PVH circuits in leptin action and energy balance. Annu Rev Physiol. 2016;78:207–221.
View this article via: CrossRef PubMed Google Scholar

Morrison SF, et al. Central neural regulation of brown adipose tissue thermogenesis and energy expenditure. Cell Metab. 2014;19(5):741–756.
View this article via: CrossRef PubMed Google Scholar

Kaira K, et al. Fluorine-18-alpha-methyltyrosine positron emission tomography for diagnosis and staging of lung cancer: a clinicopathologic study. Clin Cancer Res. 2007;13(21):6369–6378.
View this article via: CrossRef PubMed Google Scholar

Nawashiro H, et al. L-type amino acid transporter 1 as a potential molecular target in human astrocytic tumors. Int J Cancer. 2006;119(3):484–492.
View this article via: CrossRef PubMed Google Scholar

Kwiatkowski DJ, et al. A mouse model of TSC1 reveals sex-dependent lethality from liver hemangiomas, and up-regulation of p70S6 kinase activity in Tsc1 null cells. Hum Mol Genet. 2002;11(5):525–534.
View this article via: CrossRef PubMed Google Scholar

Madisen L, et al. A robust and high-throughput Cre reporting and characterization system for the whole mouse brain. Nat Neurosci. 2010;13(1):133–140.
View this article via: CrossRef PubMed Google Scholar

DeFalco J, et al. Virus-assisted mapping of neural inputs to a feeding center in the hypothalamus. Science. 2001;291(5513):2608–2613.
View this article via: CrossRef PubMed Google Scholar

Paxinos G, Franklin K. Paxinos and Franklin’s the Mouse Brain in Stereotaxic Coordinates. 5th ed. Elsevier;2019.

Horie T, et al. MAPK Erk5 in leptin receptor-expressing neurons controls body weight and systemic energy homeostasis in female mice. Endocrinology. 2019;160(12):2837–2848.
View this article via: CrossRef PubMed Google Scholar

Yamamoto T, et al. The natural polyamines spermidine and spermine prevent bone loss through preferential disruption of osteoclastic activation in ovariectomized mice. Br J Pharmacol. 2012;166(3):1084–1096.
View this article via: CrossRef PubMed Google Scholar

Fukasawa K, et al. CDK8 maintains stemness and tumorigenicity of glioma stem cells by regulating the c-MYC pathway. Oncogene. 2021;40(15):2803–2815.
View this article via: CrossRef PubMed Google Scholar

Shimbo K, et al. Precolumn derivatization reagents for high-speed analysis of amines and amino acids in biological fluid using liquid chromatography/electrospray ionization tandem mass spectrometry. Rapid Commun Mass Spectrom. 2009;23(10):1483–1492.
View this article via: CrossRef Google Scholar

Mieda M, et al. Cellular clocks in AVP neurons of the SCN are critical for interneuronal coupling regulating circadian behavior rhythm. Neuron. 2015;85(5):1103–1116.
View this article via: CrossRef PubMed Google Scholar

Adlanmerini M, et al. Hypothalamic REV-ERB nuclear receptors control diurnal food intake and leptin sensitivity in diet-induced obese mice. J Clin Invest. 2021;131(1):140424.
View this article via: JCI CrossRef PubMed Google Scholar

[1] Sun JS, et al. Ventromedial hypothalamic primary cilia control energy and skeletal homeostasis. J Clin Invest. 2021;131(1):138107.
View this article via: JCI CrossRef PubMed Google Scholar

[2] Wang P, et al. A leptin-BDNF pathway regulating sympathetic innervation of adipose tissue. Nature. 2020;583(7818):839–844.
View this article via: CrossRef PubMed Google Scholar

[3] Pan WW, et al. Leptin and the maintenance of elevated body weight. Nat Rev Neurosci. 2018;19(2):95–105.
View this article via: CrossRef PubMed Google Scholar

[4] Hu F, et al. Hypothalamic roles of mTOR complex I: integration of nutrient and hormone signals to regulate energy homeostasis. Am J Physiol Endocrinol Metab. 2016;310(11):E994–E1002.
View this article via: CrossRef PubMed Google Scholar

[5] Takeda S, et al. Leptin regulates bone formation via the sympathetic nervous system. Cell. 2002;111(3):305–317.
View this article via: CrossRef PubMed Google Scholar

[6] Roh E, et al. Emerging role of the brain in the homeostatic regulation of energy and glucose metabolism. Exp Mol Med. 2016;48(3):e216.
View this article via: CrossRef PubMed Google Scholar

[7] Blouet C, et al. Mediobasal hypothalamic leucine sensing regulates food intake through activation of a hypothalamus-brainstem circuit. J Neurosci. 2009;29(26):8302–8311.
View this article via: CrossRef PubMed Google Scholar

[8] Kanamori K, et al. Rate of glutamate synthesis from leucine in rat brain measured in vivo by 15N NMR. J Neurochem. 1998;70(3):1304–1315.
View this article via: PubMed Google Scholar

[9] Voog L, Eriksson T. Relationship between plasma and brain large neutral amino acids in rats fed diets with different compositions at different times of the day. J Neurochem. 1992;59(5):1868–1874.
View this article via: CrossRef PubMed Google Scholar

[10] Glaeser BS, et al. Changes in brain levels of acidic, basic, and neutral amino acids after consumption of single meals containing various proportions of protein. J Neurochem. 1983;41(4):1016–1021.
View this article via: CrossRef PubMed Google Scholar

[11] Zhou M, et al. Targeting BCAA catabolism to treat obesity-associated insulin resistance. Diabetes. 2019;68(9):1730–1746.
View this article via: CrossRef PubMed Google Scholar

[12] Newgard CB, et al. A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab. 2009;9(4):311–326.
View this article via: CrossRef PubMed Google Scholar

[13] Solon-Biet SM, et al. Branched chain amino acids impact health and lifespan indirectly via amino acid balance and appetite control. Nat Metab. 2019;1(5):532–545.
View this article via: CrossRef PubMed Google Scholar

[14] Yu D, et al. The adverse metabolic effects of branched-chain amino acids are mediated by isoleucine and valine. Cell Metab. 2021;33(5):905–922.
View this article via: CrossRef PubMed Google Scholar

[15] Ammann P, et al. Dietary essential amino acid supplements increase bone strength by influencing bone mass and bone microarchitecture in ovariectomized adult rats fed an isocaloric low-protein diet. J Bone Miner Res. 2002;17(7):1264–1272.
View this article via: CrossRef PubMed Google Scholar

[16] Jennings A, et al. Amino acid intakes are associated with bone mineral density and prevalence of low bone mass in women: evidence from discordant monozygotic twins. J Bone Miner Res. 2016;31(2):326–335.
View this article via: CrossRef PubMed Google Scholar

[17] Su Y, et al. Circulating amino acids are associated with bone mineral density decline and ten-year major osteoporotic fracture risk in older community-dwelling adults. Bone. 2019;129:115082.
View this article via: CrossRef PubMed Google Scholar

[18] Yanagida O, et al. Human L-type amino acid transporter 1 (LAT1): characterization of function and expression in tumor cell lines. Biochim Biophys Acta. 2001;1514(2):291–302.
View this article via: CrossRef PubMed Google Scholar

[19] Kanai Y, et al. Expression cloning and characterization of a transporter for large neutral amino acids activated by the heavy chain of 4F2 antigen (CD98). J Biol Chem. 1998;273(37):23629–23632.
View this article via: CrossRef PubMed Google Scholar

[20] Goberdhan DC, et al. Amino acid sensing by mTORC1: intracellular transporters mark the spot. Cell Metab. 2016;23(4):580–589.
View this article via: CrossRef PubMed Google Scholar

[21] Dodd KM, Tee AR. Leucine and mTORC1: a complex relationship. Am J Physiol Endocrinol Metab. 2012;302(11):E1329–E1342.
View this article via: CrossRef PubMed Google Scholar

[22] Zhang J, et al. Review of the correlation of LAT1 with diseases: mechanism and treatment. Front Chem. 2020;8:564809.
View this article via: CrossRef PubMed Google Scholar

[23] Kandasamy P, et al. Amino acid transporters revisited: new views in health and disease. Trends Biochem Sci. 2018;43(10):752–789.
View this article via: CrossRef PubMed Google Scholar

[24] Iwahashi S, et al. Conditional inactivation of the L-type amino acid transporter LAT1 in chondrocytes models idiopathic scoliosis in mice. J Cell Physiol. 2022;237(11):4292–4302.
View this article via: CrossRef PubMed Google Scholar

[25] Ozaki K, et al. The L-type amino acid transporter LAT1 inhibits osteoclastogenesis and maintains bone homeostasis through the mTORC1 pathway. Sci Signal. 2019;12(589):eaaw3921.
View this article via: CrossRef PubMed Google Scholar

[26] Poncet N, et al. The catalytic subunit of the system L1 amino acid transporter (slc7a5) facilitates nutrient signalling in mouse skeletal muscle. PLoS One. 2014;9(2):e89547.
View this article via: CrossRef PubMed Google Scholar

[27] Poncet N, et al. Wnt regulates amino acid transporter Slc7a5 and so constrains the integrated stress response in mouse embryos. EMBO Rep. 2020;21(1):e48469.
View this article via: PubMed Google Scholar

[28] Kageyama T, et al. Distribution of the 4F2 light chain, LAT1, in the mouse brain. Neuroreport. 2000;11(17):3663–3666.
View this article via: CrossRef PubMed Google Scholar

[29] Ishizuka Y, et al. Leucine induces phosphorylation and activation of p70S6K in cortical neurons via the system L amino acid transporter. J Neurochem. 2008;106(2):934–942.
View this article via: CrossRef PubMed Google Scholar

[30] Tărlungeanu DC, et al. Impaired amino acid transport at the blood brain barrier is a cause of autism spectrum disorder. Cell. 2016;167(6):1481–1494.
View this article via: CrossRef PubMed Google Scholar

[31] Morrison CD, et al. Amino acids inhibit Agrp gene expression via an mTOR-dependent mechanism. Am J Physiol Endocrinol Metab. 2007;293(1):E165–E171.
View this article via: CrossRef PubMed Google Scholar

[32] Cota D, et al. Hypothalamic mTOR signaling regulates food intake. Science. 2006;312(5775):927–930.
View this article via: CrossRef PubMed Google Scholar

[33] Reilly JJ, et al. Determining the worldwide prevalence of obesity. Lancet. 2018;391(10132):1773–1774.
View this article via: CrossRef PubMed Google Scholar

[34] Rachner TD, et al. Osteoporosis: now and the future. Lancet. 2011;377(9773):1276–1287.
View this article via: CrossRef Google Scholar

[35] Uchino H, et al. Transport of amino acid-related compounds mediated by L-type amino acid transporter 1 (LAT1): insights into the mechanisms of substrate recognition. Mol Pharmacol. 2002;61(4):729–737.
View this article via: CrossRef PubMed Google Scholar

[36] Jiang L, et al. Leptin receptor-expressing neuron Sh2b1 supports sympathetic nervous system and protects against obesity and metabolic disease. Nat Commun. 2020;11(1):1517.
View this article via: CrossRef Google Scholar

[37] Teramura Y, et al. Organ-specific changes in norepinephrine turnover against various stress conditions in thermoneutral mice. Jpn J Vet Res. 2014;62(3):117–127.
View this article via: PubMed Google Scholar

[38] Yadav VK, et al. A serotonin-dependent mechanism explains the leptin regulation of bone mass, appetite, and energy expenditure. Cell. 2009;138(5):976–989.
View this article via: CrossRef PubMed Google Scholar

[39] Yang F, et al. A GABAergic neural circuit in the ventromedial hypothalamus mediates chronic stress-induced bone loss. J Clin Invest. 2020;130(12):6539–6554.
View this article via: JCI CrossRef PubMed Google Scholar

[40] Zhou BO, et al. Leptin-receptor-expressing mesenchymal stromal cells represent the main source of bone formed by adult bone marrow. Cell Stem Cell. 2014;15(2):154–168.
View this article via: CrossRef PubMed Google Scholar

[41] Choi YH, et al. Revisiting the ventral medial nucleus of the hypothalamus: the roles of SF-1 neurons in energy homeostasis. Front Neurosci. 2013;7:71.
View this article via: PubMed Google Scholar

[42] Idelevich A, Baron R. Brain to bone: what is the contribution of the brain to skeletal homeostasis? Bone. 2018;115:31–42.
View this article via: CrossRef PubMed Google Scholar

[43] King BM. The rise, fall, and resurrection of the ventromedial hypothalamus in the regulation of feeding behavior and body weight. Physiol Behav. 2006;87(2):221–244.
View this article via: CrossRef PubMed Google Scholar

[44] Blouet C, et al. Mediobasal hypothalamic p70 S6 kinase 1 modulates the control of energy homeostasis. Cell Metab. 2008;8(6):459–467.
View this article via: CrossRef PubMed Google Scholar

[45] Liu GY, Sabatini DM. mTOR at the nexus of nutrition, growth, ageing and disease. Nat Rev Mol Cell Biol. 2020;21(4):183–203.

[46] Bröer S, Bröer A. Amino acid homeostasis and signalling in mammalian cells and organisms. Biochem J. 2017;474(12):1935–1963.
View this article via: CrossRef PubMed Google Scholar

[47] Chen R, et al. The general amino acid control pathway regulates mTOR and autophagy during serum/glutamine starvation. J Cell Biol. 2014;206(2):173–182.
View this article via: CrossRef PubMed Google Scholar

[48] Hay N, Sonenberg N. Upstream and downstream of mTOR. Genes Dev. 2004;18(16):1926–1945.
View this article via: CrossRef PubMed Google Scholar

[49] Leib DE, Knight ZA. Re-examination of dietary amino acid sensing reveals a GCN2-independent mechanism. Cell Rep. 2015;13(6):1081–1089.
View this article via: CrossRef PubMed Google Scholar

[50] Maurin AC, et al. The GCN2 kinase biases feeding behavior to maintain amino acid homeostasis in omnivores. Cell Metab. 2005;1(4):273–277.
View this article via: CrossRef PubMed Google Scholar

[51] Hao S, et al. Uncharged tRNA and sensing of amino acid deficiency in mammalian piriform cortex. Science. 2005;307(5716):1776–1778.
View this article via: CrossRef PubMed Google Scholar

[52] Danguir J, Nicolaidis S. Chronic intracerebroventricular infusion of insulin causes selective increase of slow wave sleep in rats. Brain Res. 1984;306(1–2):97–103.
View this article via: PubMed Google Scholar

[53] Proulx K, et al. Fatty acid synthase inhibitors modulate energy balance via mammalian target of rapamycin complex 1 signaling in the central nervous system. Diabetes. 2008;57(12):3231–3238.
View this article via: CrossRef PubMed Google Scholar

[54] Hurtado-Carneiro V, et al. Glucagon-like peptide 1 (GLP-1) can reverse AMP-activated protein kinase (AMPK) and S6 kinase (P70S6K) activities induced by fluctuations in glucose levels in hypothalamic areas involved in feeding behaviour. Mol Neurobiol. 2012;45(2):348–361.
View this article via: CrossRef PubMed Google Scholar

[55] Harlan SM, et al. Hypothalamic mTORC1 signaling controls sympathetic nerve activity and arterial pressure and mediates leptin effects. Cell Metab. 2013;17(4):599–606.
View this article via: CrossRef PubMed Google Scholar

[56] Oury F, et al. CREB mediates brain serotonin regulation of bone mass through its expression in ventromedial hypothalamic neurons. Genes Dev. 2010;24(20):2330–2342.
View this article via: CrossRef PubMed Google Scholar

[57] Allison MB, et al. TRAP-seq defines markers for novel populations of hypothalamic and brainstem LepRb neurons. Mol Metab. 2015;4(4):299–309.
View this article via: CrossRef PubMed Google Scholar

[58] Tong Q, et al. Synaptic release of GABA by AgRP neurons is required for normal regulation of energy balance. Nat Neurosci. 2008;11(9):998–1000.
View this article via: CrossRef PubMed Google Scholar

[59] Dhillon H, et al. Leptin directly activates SF1 neurons in the VMH, and this action by leptin is required for normal body-weight homeostasis. Neuron. 2006;49(2):191–203.
View this article via: CrossRef PubMed Google Scholar

[60] Balthasar N, et al. Leptin receptor signaling in POMC neurons is required for normal body weight homeostasis. Neuron. 2004;42(6):983–991.
View this article via: CrossRef PubMed Google Scholar

[61] Ranson RN, et al. The paraventricular nucleus of the hypothalamus sends efferents to the spinal cord of the rat that closely appose sympathetic preganglionic neurones projecting to the stellate ganglion. Exp Brain Res. 1998;120(2):164–172.
View this article via: CrossRef PubMed Google Scholar

[62] Sutton AK, et al. The role of PVH circuits in leptin action and energy balance. Annu Rev Physiol. 2016;78:207–221.
View this article via: CrossRef PubMed Google Scholar

[63] Morrison SF, et al. Central neural regulation of brown adipose tissue thermogenesis and energy expenditure. Cell Metab. 2014;19(5):741–756.
View this article via: CrossRef PubMed Google Scholar

[64] Kaira K, et al. Fluorine-18-alpha-methyltyrosine positron emission tomography for diagnosis and staging of lung cancer: a clinicopathologic study. Clin Cancer Res. 2007;13(21):6369–6378.
View this article via: CrossRef PubMed Google Scholar

[65] Nawashiro H, et al. L-type amino acid transporter 1 as a potential molecular target in human astrocytic tumors. Int J Cancer. 2006;119(3):484–492.
View this article via: CrossRef PubMed Google Scholar

[66] Kwiatkowski DJ, et al. A mouse model of TSC1 reveals sex-dependent lethality from liver hemangiomas, and up-regulation of p70S6 kinase activity in Tsc1 null cells. Hum Mol Genet. 2002;11(5):525–534.
View this article via: CrossRef PubMed Google Scholar

[67] Madisen L, et al. A robust and high-throughput Cre reporting and characterization system for the whole mouse brain. Nat Neurosci. 2010;13(1):133–140.
View this article via: CrossRef PubMed Google Scholar

[68] DeFalco J, et al. Virus-assisted mapping of neural inputs to a feeding center in the hypothalamus. Science. 2001;291(5513):2608–2613.
View this article via: CrossRef PubMed Google Scholar

[69] Paxinos G, Franklin K. Paxinos and Franklin’s the Mouse Brain in Stereotaxic Coordinates. 5th ed. Elsevier;2019.

[70] Horie T, et al. MAPK Erk5 in leptin receptor-expressing neurons controls body weight and systemic energy homeostasis in female mice. Endocrinology. 2019;160(12):2837–2848.
View this article via: CrossRef PubMed Google Scholar

[71] Yamamoto T, et al. The natural polyamines spermidine and spermine prevent bone loss through preferential disruption of osteoclastic activation in ovariectomized mice. Br J Pharmacol. 2012;166(3):1084–1096.
View this article via: CrossRef PubMed Google Scholar

[72] Fukasawa K, et al. CDK8 maintains stemness and tumorigenicity of glioma stem cells by regulating the c-MYC pathway. Oncogene. 2021;40(15):2803–2815.
View this article via: CrossRef PubMed Google Scholar

[73] Shimbo K, et al. Precolumn derivatization reagents for high-speed analysis of amines and amino acids in biological fluid using liquid chromatography/electrospray ionization tandem mass spectrometry. Rapid Commun Mass Spectrom. 2009;23(10):1483–1492.
View this article via: CrossRef Google Scholar

[74] Mieda M, et al. Cellular clocks in AVP neurons of the SCN are critical for interneuronal coupling regulating circadian behavior rhythm. Neuron. 2015;85(5):1103–1116.
View this article via: CrossRef PubMed Google Scholar

[75] Adlanmerini M, et al. Hypothalamic REV-ERB nuclear receptors control diurnal food intake and leptin sensitivity in diet-induced obese mice. J Clin Invest. 2021;131(1):140424.
View this article via: JCI CrossRef PubMed Google Scholar

l-Type amino acid transporter 1 in hypothalamic neurons in mice maintains energy and bone homeostasis

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l-Type amino acid transporter 1 in hypothalamic neurons in mice maintains energy and bone homeostasis

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