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. 2017 Dec 7;2(23):e96728. doi: 10.1172/jci.insight.96728

PI3Kα inactivation in leptin receptor cells increases leptin sensitivity but disrupts growth and reproduction

David Garcia-Galiano 1, Beatriz C Borges 1,2, Jose Donato Jr 3, Susan J Allen 1, Nicole Bellefontaine 1, Mengjie Wang 4, Jean J Zhao 5, Kenneth M Kozloff 6, Jennifer W Hill 4, Carol F Elias 1,7
PMCID: PMC5752267  PMID: 29212950

Abstract

The role of PI3K in leptin physiology has been difficult to determine due to its actions downstream of several metabolic cues, including insulin. Here, we used a series of mouse models to dissociate the roles of specific PI3K catalytic subunits and of insulin receptor (InsR) downstream of leptin signaling. We show that disruption of p110α and p110β subunits in leptin receptor cells (LRΔα+β) produces a lean phenotype associated with increased energy expenditure, locomotor activity, and thermogenesis. LRΔα+β mice have deficient growth and delayed puberty. Single subunit deletion (i.e., p110α in LRΔα) resulted in similarly increased energy expenditure, deficient growth, and pubertal development, but LRΔα mice have normal locomotor activity and thermogenesis. Blunted PI3K in leptin receptor (LR) cells enhanced leptin sensitivity in metabolic regulation due to increased basal hypothalamic pAKT, leptin-induced pSTAT3, and decreased PTEN levels. However, these mice are unresponsive to leptin’s effects on growth and puberty. We further assessed if these phenotypes were associated with disruption of insulin signaling. LRΔInsR mice have no metabolic or growth deficit and show only mild delay in pubertal completion. Our findings demonstrate that PI3K in LR cells plays an essential role in energy expenditure, growth, and reproduction. These actions are independent from insulin signaling.

Keywords: Reproductive Biology

Keywords: Bone development, Fertility, Leptin


PI3Kα in leptin receptor expressing cells plays an essential role in energy expenditure, growth, and reproduction.

Introduction

Epidemiological and genetic studies have determined the existence of a close link between metabolic dysfunction (e.g., obesity and diabetes) and many types of cancer. Phosphatidylinositol 3-kinase (PI3K) signaling is the major molecular pathway associated with these diseases and comorbidities (13). It plays a key role in the central actions of metabolic cues and growth factors in energy balance, glucose homeostasis, and cellular growth (48). Among the multiple PI3K isoforms, those pertaining to class IA are responsive to metabolic signals (9). The p110α (PI3Kα) and p110β (PI3Kβ) catalytic subunits are ubiquitously expressed, and whole-body knockout of either PI3Kα or PI3Kβ subunit is embryonically lethal (1, 10). Mice carrying mutations with reduced activity of PI3Kα display decreased body weight and body length (1). Over the long term, these physiological adaptations are translated into beneficial effects on metabolic regulation and aging (1113). However, enhanced PI3K signaling only in cells that express leptin receptor (LR) due to cell-type–specific deletion of phosphatase and tensin homolog (PTEN; LRΔPTEN mice) generates mice with a metabolic phenotype similar to those with reduced global PI3K activity, i.e., decreased adiposity and increased energy expenditure (14).

The use of conditional deletion of PI3K in chemically defined hypothalamic neurons has contributed to the advancement of the field, but findings showing that leptin and insulin act in distinct neuronal populations represent an obvious confounder. For example, subsets of proopiomelanocortin (POMC) and steroidogenesis factor 1 (SF1) neurons are responsive to either leptin or insulin (1519), and, therefore, it is not entirely known if the phenotype of mice with PI3K deletion in those neurons is due to lack of leptin or insulin signaling. Conditional deletion of PI3Kα or PI3Kβ in POMC and SF1 neurons has suggested the existence of dissociated effects of both subunits in energy balance and glucose homeostasis (16, 2022), but, again, whether these responses are associated with leptin or insulin signaling has not been demonstrated.

Selective mutations in LR tyrosine residues have produced compelling data on the effects of specific signaling pathways in leptin function (2325). Mice with blockade of LR-activated STAT3 signaling are obese and have disrupted thyroid and adrenal axes. However, they show improved glucose homeostasis, growth, and fertility compared with leptin signaling–deficient (db/db, Leprdb) mice. Likewise, lack of either leptin-induced SHP2/ERK or STAT5 pathways caused only mild metabolic and neuroendocrine phenotypes (2426). Here, we used single and dual deletion of PI3Kα and PI3Kβ in LR cells to dissect the role of individual PI3K catalytic subunits in energy homeostasis, growth, and reproductive function. We further assessed if the observed phenotypes were associated with convergent insulin signaling in LR cells.

Results

Mice with deletion of PI3K signaling pathway in LR cells have disrupted energy homeostasis, growth, and sexual maturation.

Mice lacking both PI3Kα and PI3Kβ catalytic subunits in LR cells (LRΔα+β mice) were generated and validated in previous electrophysiological studies from our laboratory (17, 27). Deletion of both subunits disrupts the acute effects of leptin and insulin in resting membrane potential of hypothalamic LR neurons (6, 17). However, the physiological consequences of this manipulation have not been determined. Male and female LRΔα+β mice showed decreased body weight compared with floxed control mice (αflfl; Figure 1A). Reduced lean and fat mass associated with a decrease in body length was evident in adult LRΔα+β mice compared with age-matched controls (Figure 1, B and C). The αflfl mice and those homozygous for LepR-Cre (LRcre/cre mice) showed no differences in body weight or body length (Supplemental Figure 1, A and B; supplemental material available online with this article; https://doi.org/10.1172/jci.insight.96728DS1). The LRΔα+β mice consumed the same amount of food compared with controls (Supplemental Figure 1C) but had increased daily food intake when normalized to body weight (Figure 1D). They also displayed higher energy expenditure in both light and dark phases, determined by increased O2 consumption and CO2 production, and no changes in respiratory exchange ratio (RER; Figure 1, E and F, and Supplemental Figure 1, D–F). LRΔα+β mice have increased uncoupling protein 1 (Ucp1) mRNA expression in brown adipose tissue (BAT) and increased locomotor activity in both light and dark phases (Figure 1, G–I). No changes in fasted glucose levels, glucose, or insulin tolerances were observed (Figure 1, J–L). However, LRΔα+β mice showed reduced insulin levels in fasted conditions compared with control mice.

Figure 1. Deletion of PI3Kα and PI3Kβ in LR cells causes changes in energy expenditure, growth, and puberty.

Figure 1

(A) Reduced body weight in male (M) LRΔα+β (n = 13) versus αflfl [n = 21; F(1,32) = 19.67, P < 0.0001] mice and in female (F) LRΔα+β (n = 13) versus αflfl [n = 16; F(1,27) = 28.37, P < 0.0001] mice from 2 independent cohorts. (B) Reduced body composition in LRΔα+β mice (n = 8/group, males; t14 = 5.83, P < 0.0001 for lean mass; t14 = 2.81, P = 0.014 for fat mass). (C) Reduced body length at 9 weeks of age, in male LRΔα+β (n = 8) versus αflfl (n = 11; t17 = 5.28, P < 0.0001) mice and in female LRΔα+β (n = 10) versus αflfl (n = 18; t17 = 5.28, P = 0.002) mice. (DF) CLAMS study (n = 8/group, males) detected differences in (D) 24-hour food intake normalized to body weight (t14 = 5.83, P < 0.0001), (E) in 4-day energy expenditure, and (F) averages for dark and light phases in LRΔα+β versus αflfl mice (t14 = 2.56, P = 0.024 for dark phase; t14=3.19, P = 0.006 for light phase). (G) Increased BAT Ucp1 mRNA in adult male LRΔα+β (n = 6) versus αflfl (n = 5; t9 = 2.41, P = 0.04) mice. (H) Increased locomotor activity (4 days, n = 8/group) and (I) averages for dark and light phases in male LRΔα+β (t14 = 2.6, P = 0.021 for dark phase; t14=3.42, P = 0.004 for light phase) mice. (J) Glucose and (K) insulin levels in oral glucose tolerance test (OGTT; t12 = 2.62, P = 0.02 at basal levels compared with αflfl), or circulating glucose in insulin tolerance test (ITT, L) at basal (0 minutes), 15, 30, 60, and 120 minutes after oral glucose (n = 7/group, males). (M) Delayed vaginal opening in LRΔα+β (n = 12) versus αflfl (n = 16; t26 = 2.51, P = 0.019) mice and (N) first estrus in LRΔα+β (n = 13) versus αflfl (n = 12) mice. (O) Normal estrous cycle length in LRΔα+β (n = 16) versus αflfl (n = 17; t31 = 1.81, P = 0.08) mice. Circles in bar graphs represent individual mice. Values are presented as mean ± SEM. *P < 0.05, **P < 0.01, by repeated-measures 2-way ANOVA with Holm-Sidak’s multiple comparisons (A) and by 2-tailed Student’s t test (BO). LRΔα+β, deletion of PI3Kα and PI3Kβ in LR cells.

Reproductive function and metabolic status are tightly linked (28, 29). Puberty onset (vaginal opening) and completion (first estrus) were both delayed in LRΔα+β mice (Figure 1, M and N); 25% of LRΔα+β females showed no first estrus until P60. However, no differences in estrous cycle length or fertility were noticed in adult (3- to 5-month-old) LRΔα+β mice (Figure 1O and Supplemental Figure 1, G and H). In males, no differences in age of puberty onset, revealed by the day of balanopreputial separation, were detected in LRΔα+β mice, although adult LRΔα+β males had reduced testis weight. Epididymis weight and circulating luteinizing hormone (LH) levels did not differ from those of controls (Supplemental Figure 1, I–L).

PI3Kα in LR cells is required for normal food intake, energy expenditure, and growth.

To dissociate the roles of PI3K catalytic subunits, we generated mice with single subunit deletion (PI3Kα) in LR cells (LRΔα). Deletion of the Pik3ca gene (coding the PI3Kα subunit) was confirmed by quantitative PCR (qPCR) analysis in hypothalamic blocks, in the arcuate nucleus (Arc) punches, and in LR cells expressing tdTomato reporter gene harvested by FACS. Double ISH/IHC in hypothalamic sections of LRcre/cre tdTomato control and mutant mice also showed successful deletion of Pik3ca gene in LR cells (Supplemental Figure 2, A–D).

Similar to LRΔα+β mice, LRΔα males and females displayed lower body weight, a reduction in lean and fat mass, and reduced growth (snout-anus distance) compared with control αfl mice (Figure 2, A–C). No differences in body weight or body length were observed comparing αfl males and LRcre/cre mice (Supplemental Figure 3, A and B). Male LRΔα mice also displayed a significant increase in food intake when normalized to body weight, and increased energy expenditure due to increased O2 consumption and CO2 production, in both dark and light phases (Figure 2, D–F, and Supplemental Figure 3, C–E). No changes in RER, fasted glucose levels, or glucose tolerance were observed (Supplemental Figure 3, F–H). In contrast to LRΔα+β mice, BAT Ucp1 mRNA expression, locomotor activity, and fasted insulin levels were not different in LRΔα mice (Figure 2, G–J).

Figure 2. PI3Kα-deleted mice showed changes in food intake, energy expenditure, and growth but comparable locomotor activity and thermogenesis.

Figure 2

(A) Reduced body weight in male (M) LRΔα (n = 12) compared with αfl mice [n = 29; F(1,32) = 22.78, P < 0.0001] and in female (F) LRΔα (n = 18) versus αfl mice [n = 31; F(1,47) = 26.1, P < 0.0001] from 2 independent cohorts. (B) Reduced body composition in LRΔα mice (n = 8/group, males; t14=6.05, P < 0.0001 for lean mass; t14 = 2.36, P = 0.033 for fat mass) and in LRΔα (n = 6) versus control female mice (αfl, n = 8; t12 = 2.91, P = 0.013 for lean mass; t14=4.2, P = 0.001 for fat mass). (C) Reduced body length at 9 weeks of age in LRΔα (n = 9) compared with αfl male mice (n = 8; t16=4.5, P = 0.0004). CLAMS study (4 days, n = 8/group, males) detected differences in daily normalized food intake (D; t9.06 = 2.26, P = 0.05), (E) in 4-day energy expenditure, and (F) averages for dark and light phases (t14 = 2.47, P = 0.027 for dark phase; t14 = 2.45, P = 0.028 for light phase) in LRΔα compared with αfl mice but not in (H) locomotor activity. (G) Relative BAT Ucp1 mRNA expression in LRα (n = 7) compared with αfl male mice (n = 8; t13 = 1.53, P = 0.15). (I) Glucose and (J) insulin levels in fasted αfl (n = 8) and LRΔα (n = 6) male mice. (K) Arc Pomc, Agrp, and Npy expression in fed conditions (n = 6/group; t10 = 2.62, P = 0.026 for AgRP expression). (L and M) Representative confocal images of AgRP fibers in the paraventricular nucleus of the hypothalamus (PVH) and integrated optic density (IOD) showed high AgRP fiber density in diestrus LRΔα mice with respect to controls in fed [F(1,19) = 6.09, P = 0.023], but no difference in fasted conditions. Each point represents 1 individual mouse, and all values are presented as mean ± SEM. *P < 0.05, **P < 0.01, by repeated-measures 2-way ANOVA with Holm-Sidak’s multiple comparisons test in A, by 2-way ANOVA with Tukey’s post-hoc analysis in M, and 2-tailed Student’s t test in BK. Scale bar: 100 μm. LRΔα, PI3Kα-deleted mice.

To gain insights into the cellular mechanisms associated with the phenotype of the PI3Kα deletion, we assessed changes in gene expression in Arc punches from adult males. No changes in POMC or neuropeptide Y (NPY) mRNA levels were detected, but a significant increase in agouti-related peptide (AgRP) transcript was observed in LRΔα mice. We also observed a higher density of AgRP-immunoreactive fibers in the paraventricular nucleus of the hypothalamus (PVH) in fed LRΔα mice. Overnight fasted αfl and LRΔα mice displayed similar density of PVH AgRP fibers (Figure 2, K–M). Together, these findings suggest that deletion of PI3Kα generates a condition of perceived negative energy balance in AgRP neurons.

PI3Kα in LR cells is necessary for pubertal development, estrous cycle, and fertility.

Timing of puberty onset, observed by age of vaginal opening and balanopreputial separation, was similar in LRΔα and control αfl mice (Figure 3A and Supplemental Figure 3I). However, LRΔα females showed a delay for pubertal completion, defined by age of first estrus, compared with controls (Figure 3B). No differences in sexual maturation, testis, or epididymis weight were noticed in LRΔα males (Supplemental Figure 3, J–L).

Figure 3. Leptin supplementation does not restore pubertal timing in LRΔα mice.

Figure 3

(A) Day of vaginal opening in αfl (n = 31) and LRΔα (n = 18) mice (t47 = 0.9, P = 0.373) and (B) representative graphs of estrous cyclicity and day of first estrus (arrows). (C) Reduced body weight in LRΔα mice from normal litter size (LRΔα-NL, n = 18) and small litter size (LRΔα-SL, n = 17) compared with αfl-NL females [n = 26; F(2,58) = 41.05, P < 0.0001 for genotype analysis; F(18,522) = 11.56, P < 0.0001 for interaction] from 2 independent cohorts. (D) Reduced circulating leptin levels at P40 in LRΔα-NL (n = 9) compared with αfl-NL mice [n = 9; F(2,21) = 3.59, P = 0.046]; levels were similar to those of LRΔα-SL (n = 6). (E) Serum LH levels at P40 [αfl-NL, n = 9; LRΔα-SL, n = 10; LRΔα-NL, n = 7; F(2,23) = 2.93, P = 0.074] and (F) ovarian weight in αfl-NL (n = 9), LRΔα-SL (n = 10), and LRΔα-NL females [n = 9; F(2,25) = 7.44, P = 0.003 for genotype analysis]. (G) First estrus progression and (H) average age of first estrus detected differences among groups of mice: αfl-NL (n = 26), LRΔα-SL (n = 13), and LRΔα-NL females [n = 12; F(2,49) = 27.81, P < 0.0001]. (I) Effect of daily leptin supplementation on sexual maturation: αfl mice treated with vehicle (n = 12) or leptin (n = 9), and LRΔα mice treated with vehicle or leptin (n = 8/treatment). Each point represents 1 individual mouse, and all values are presented as mean ± SEM. *P < 0.05, **P < 0.01 versus LRΔα-SL; #P < 0.05 versus αfl-NL, by repeated-measures 2-way ANOVA with Holm-Sidak’s multiple comparisons test in C. Groups with different superscript letters are statistically different by 1-way ANOVA with Newman-Keuls post-hoc analysis in DH.

To assess whether the delayed pubertal maturation detected in LRΔα mice is secondary to the reduced body weight, we performed an early postnatal overnutrition paradigm to increase their body weight (28, 30, 31). At weaning day (at 3 weeks of age), LRΔα females from small litters (LRΔα-SL mice) had body weight similar to controls from normal litters (αfl-NL mice; Figure 3C). After 2 weeks, body weight of LRΔα-SL females was diminished compared with αfl-NL mice but increased compared with LRΔα-NL females. Notably, at P40, leptin levels were reduced in LRΔα-NL mice compared with αfl-NL females, but they were not different compared with LRΔα-SL mice (Figure 3D). No differences in LH levels were detected among groups, but ovary weight was reduced in LRΔα mice (NL and SL) compared with age-matched controls (Figure 3, E and F). Early feeding manipulation in LRΔα-SL females improved but did not normalize the timing of pubertal completion. Remarkably, whereas most (about 80%) of control mice displayed pubertal completion at 6 weeks of age (around P40), only about 25% of LRΔα-NL and LRΔα-SL mice were at the same developmental stage at P40 (Figure 3, G and H).

Because nutritional manipulation improved but did not correct body weight, leptin levels, and pubertal progression, we further assessed if decreased leptin levels could account for the delayed sexual maturation of LRΔα mice (29). Daily leptin administration to peripubertal αfl females decreased cumulative weight gain and advanced sexual maturation (Figure 3I and Supplemental Figure 4, A and B). Leptin supplementation to LRΔα females had an enhanced effect in weight loss but caused no changes in timing of pubertal development. Collectively, these data suggest that LRΔα mice have increased leptin sensitivity for body weight regulation but are unresponsive to leptin’s effect in pubertal maturation.

Adult LRΔα females also displayed prolonged estrous cycles, reduced ovarian weight, and decreased ovulatory events (measured by number of days in proestrus; Figure 4, A–D). The reproductive deficit observed in LRΔα females was associated with a progressive subfertility, as reduced numbers of pups were delivered in subsequent litters (Figure 4E). No alterations in timing of sexual maturation or estrous cycle length were observed in control homozygous LRcre/cre mice (Supplemental Figure 5, A and B).

Figure 4. LRΔα females show reproductive deficits.

Figure 4

(A) Representative diagrams for estrous cycles in αfl and LRΔα mice. (B) Reduced ovarian weight of LRΔα (n = 8) compared with αfl mice (n = 11; t17 = 5.99, P < 0.0001). (C) Longer estrous cycle duration in LRΔα mice (n = 19) with respect to αfl mice (n = 18; t36 = 5.09, P < 0.0001). (D) Percentage of days in metestrus, diestrus, proestrus, or estrus phases (t33 = 4.21, P = 0.0001 versus controls in proestrus). (E) The ratio of total pups per dam is diminished in LRΔα mice compared with αfl mice [F(1,34) = 20.08, P < 0.0001]. (F) Reduced cumulative body weight gain (ΔBW) in LRΔα (n = 10) compared with αfl (n = 9) animals on high-fat diet [HFD; F(1,19) = 5.61, P = 0.029]. (G) Differences in lean and fat mass in LRΔα mice on HFD (t17 = 3.1, P = 0.007 for lean mass; t17 = 3.05, P = 0.007 for fat mass) or normal chow diet (ND; αfl, n = 8; LRΔα, n = 6; t12 = 2.95, P = 0.012 for lean mass; t12 = 3.19, P = 0.008 for fat mass). (H) Estrous cycle length after 14 weeks on HFD (t17 = 0.168, P = 0.87). Dotted line represents estrous cycle duration of control αfl females on ND. (I) Reduced body weight (t12=3.38, P = 0.005), and (J) body length in LRΔα compared with αfl dams (n = 7/group) after gestation and lactation (t12 = 2.53, P = 0.026). (K) Longer estrous cycle length in LRΔα dams after gestation and lactation (n = 7/group; t12 = 3.6, P = 0.004). Each point represents 1 individual mouse. Data are presented as mean ± SEM. *P < 0.05, **P < 0.01, by 2-way repeated-measures ANOVA with Holm-Sidak’s post-hoc test in E and F and by 2-tailed Student’s t test in BD and GK.

LRΔα females are resistant to changes in reproductive function induced by metabolic manipulations and pregnancy.

To assess if the prolonged estrous cycles are secondary to decreased energy stores, adult LRΔα females were fed with a high-fat diet (HFD, 42% fat). Following 7 weeks on HFD, both LRΔα and αfl mice showed increases in body weight and fat mass, although the effect was diminished in LRΔα females (Figure 4, F and G). At 7 weeks on HFD, when LRΔα females achieved similar body weight to αfl controls on regular chow diet (Supplemental Figure 5C), estrous cycles were monitored for another 7 weeks. The increase in body weight did not restore normal cyclicity in LRΔα females, but it induced longer estrous cycles in control αfl mice (Figure 4H), as demonstrated previously in wild-type mice (32).

Fertility eventually returns after a period of suckling-induced anovulation during lactation (33, 34). We assessed the estrous cyclicity in LRΔα mice and controls on regular chow after pregnancy and lactation. Gestation and lactation did not normalize the body weight or body length of LRΔα dams (Figure 4, I and J). No restoration or improvement in estrous cycle length was detected in LRΔα mice compared with αfl dams after a period of lactational amenorrhea (Figure 4K).

PI3Kα expression in LR cells is required for growth.

Reduced growth was only detected in sexually mature LRΔα mice (at P60), with no differences observed in pubertal (P40) mice (Figure 5A). Analysis of gene expression at different levels of the growth axis showed no differences in hypothalamic growth hormone–releasing hormone (GHRH) or somatostatin (SST) and pituitary growth hormone (GH) or GH receptor (GHR) mRNA levels between genotypes at P60 (Figure 5B). A reduction in hepatic Ghr and Igf1 but no changes in Fgf21 expression were detected in adult LRΔα females. However, circulating levels of IGF1 were not different comparing pubertal or adult mice of both genotypes (Figure 5C).

Figure 5. LRΔα females show decreased bone volume and bone mineral density.

Figure 5

(A) Normal body length at P40 in LRΔα (n = 11) mice with respect to αfl mice (n = 12; t17 = 0.31, P = 0.76), with reduced body length relative to αfl mice at P60 (αfl, n = 15; LRΔα, n = 14; t21 = 5.2, P < 0.0001). (B) Relative mRNA expression of growth hormone–releasing hormone (GHRH; t9 = 1.94, P = 0.085) and somatostatin (SST) in the mediobasal hypothalamus (MBH) and growth hormone (GH) and GH receptor (GHR) in pituitary. GHR (t10 = 2.38, P = 0.039), insulin-like growth factor 1 (IGF1; n = 5–6/group; t10 = 2.47, P = 0.033) and fibroblast growth factor 21 (FGF21) liver. (C) Similar circulating Igf-1 levels at P40 (αfl, n = 9; LRΔα, n = 6; t14 = 1.46, P = 0.17) and P60 (n = 6-7/group; t10 = 1.67, P = 0.13). (D) Representative images of trabecular (Tb) and cortical (Ct) femora. (E) Reduced percentage of bone volume/total volume (Tb.BV/TV; t10 = 2.53, P = 0.03), (F) thickness (t10 = 4.76, P = 0.0008), and (G) bone mineral density (Tb.BMD; t10 = 2.78, P = 0.02) in LRΔα mice versus control females. (H) Similar trabecular number (Tb.Number; t10 = 0.31, P = 0.3) and (I) spacing between genotypes (t10 = 1.19, P = 0.26). Reduced cortical (J) BV/TV (t10 = 2.39, P = 0.038), (K) thickness (t10 = 2.23, P = 0.05), and (L) area in LRΔα females (t10 = 2.31, P = 0.043). No differences in (M) marrow area (t10 = 0.3, P = 0.77) or (N) total area (t10 = 1.84, P = 0.1, n = 6/group). Each point represents 1 individual mouse. Data are presented as mean ± SEM. *P ≤ 0.05, **P < 0.01; by 2-tailed Student’s t test.

The bone mineral density of the trabecular and cortical layers of the femur were decreased in LRΔα females (P60). No changes in marrow area or total area were observed (Figure 5, D–N). Trabecular number and spacing were similar to those of controls, but trabecular thickness and bone volume were reduced. In lumbar vertebrae, no differences in bone volume, thickness, trabecular number, and spacing were detected comparing genotypes (Supplemental Figure 5, D–G).

Enhanced leptin sensitivity in adult LRΔα mice.

PI3K signaling in POMC neurons is required for the acute effects of leptin on food intake (4, 5, 20). To assess if PI3Kα in LR cells is required for the acute anorexigenic effects of leptin, overnight fasted adult LRΔα and αfl control mice were injected with i.p. leptin or vehicle before lights off and refeeding. Leptin induced a reduction in food intake in control males, which was blunted in LRΔα mice (Figure 6A). Whereas the acute anorexigenic effect was blunted, chronic leptin administration resulted in increased cumulative weight loss over time in LRΔα females (Supplemental Figure 4A). In addition, these mice showed an initial resistance to weight gain when fed with a HFD (Figure 4F).

Figure 6. LRΔα mice show enhanced leptin sensitivity and reduced hypothalamic PTEN expression.

Figure 6

(A) Blunted acute anorexigenic effect of leptin (3 hours of refeeding) in LRΔα (n = 8/treatment) compared with αfl (n = 9/treatment) males [F(1,30) = 8.89, P = 0.006]. (B) Leptin induced similar SOCS3 mRNA expression in the arcuate nucleus (Arc) of fasted LRΔα and αfl females [n = 5/group; F(1,16) = 150.7, P < 0.0001]. (C) Representative Western blotting and relative protein quantification from hypothalamic extracts show enhanced leptin-induced pSTAT3 in fasted LRΔα compared with αfl (n = 8/treatment, females [F(1,28) = 6.3, P = 0.018 for genotype analysis; F(1,28) = 46.35, P < 0.0001 for treatment analysis]. (D) Reduced PTEN expression from hypothalamic extracts of fasted mice injected with vehicle or leptin [F(1,28) = 7.02, P = 0.013; n = 8/treatment, females]. (E) Representative Western blotting and relative protein quantification of pAKT at Ser473 residue (pAKTS473) from hypothalamus of fasted mice injected with vehicle or leptin (n = 3–4/treatment, females) showed increased pAKTS473 expression in LRΔα females [F(1,11) = 10.1, P = 0.009]. Each point represents 1 individual mouse. Data are presented as mean ± SEM. *P < 0.05 versus control mice; groups with different superscript letters are statistically different by 2-way ANOVA with Tukey’s post-hoc analysis.

Acute leptin administration induced a similar increase in suppressor of cytokine signaling 3 (SOCS3) expression in both genotypes (Figure 6B). However, LRΔα mice had enhanced leptin-induced hypothalamic phosphorylated STAT3 (pSTAT3) (Figure 6C). No differences in basal pSTAT3 were detected between genotypes. Additionally, deletion of PI3Kα in LR cells resulted in a significant reduction in hypothalamic PTEN protein levels (Figure 6D) and increased fasted basal levels of pAKT at Ser473 residue (Figure 6E). Similarly, LRΔα+β females displayed an increase in hypothalamic pAKT and reduced PTEN levels (Supplemental Figure 6, A and B). Together, these data indicate that deletion of PI3Kα in LR cells is associated with enhanced hypothalamic leptin sensitivity, likely due to sustained increase of pSTAT3 and pAKT and reduction of PTEN.

Lack of insulin receptor in LR cells is associated with a mild delay of female sexual maturation.

The PI3K signaling pathway is also downstream of insulin receptor (InsR) (35). While acute cellular responses to leptin and insulin seem to be segregated in hypothalamic neurons (19, 36), the intracellular and/or genomic actions may still overlap. If the colocalization exists, the phenotype of PI3K-deleted mice might be associated with disruption of insulin, not leptin, signaling. However, the degree of InsR/LR coexpression in hypothalamic neurons has not been demonstrated. We initially assessed the coexpression of InsR in LR cells. Intracerebroventricular injections of insulin induced pAKT and FoxO1 translocation in about 60% of LR neurons of the Arc and about 20% of LR neurons of the ventral premammillary nucleus (PMV) (Figure 7). These findings indicate that a partial overlap of leptin and insulin signaling in hypothalamic neurons exists.

Figure 7. Insulin-induced pAKT and FoxO1 translocation in hypothalamic LR cells.

Figure 7

(A) Representative images of the hypothalamic arcuate (Arc) nucleus and quantification of insulin-induced (B) pAKT at S473 residue (pAKTS473) and (C) FoxO1 immunoreactivity in LR neurons coexpressing tdTomato in several hypothalamic nuclei. Brains were collected after 15 minutes of intracerebroventricular insulin administration to fasted animals (n = 2/group). rArc, rostral arcuate nucleus; cArc, caudal Arc; POA, preoptic area; PMV, ventral premammillary nucleus; 3v, third ventricle. Each point represents 1 individual mouse. Data are presented as mean ± SEM. Scale bar: 50 μm.

To assess if a lack of insulin signaling in LR cells recapitulates the phenotype of the PI3K-deleted mice, we generated a mouse line with deletion of InsR in LR-expressing cells (LRΔInsR mice). Gene expression analysis of Arc punches showed a 50% reduction of Insr and no Lepr changes in LRΔInsR mice (Figure 8A). The LRΔInsR male mice had body weight similar to controls. No changes in body length, food intake, or energy expenditure were detected. A decrease in fasting glucose levels was apparent, but no change in glucose tolerance was observed (Figure 8, B–H). The LRΔInsR female mice displayed similar body weight, body length, and timing of puberty onset as well as a mild delay for first estrus (puberty completion). No differences in estrous cycle length and fertility were observed comparing LRΔInsR and InsRfl control mice (Figure 8, I–L). These findings indicate that the metabolic, growth, and reproductive phenotypes of the PI3K-deleted mice are not due to the lack of insulin signaling in LR cells.

Figure 8. Assessment of metabolic and reproductive phenotype of mice with deletion of InsR in LR cells.

Figure 8

(A) Reduced relative Insr mRNA expression in mice with deletion of InsR in LR cells (LRΔInsR) (t11 = 2.57, P = 0.026) and similar Lepr (b, long isoform) gene expression in Arc punches of adult LRΔInsR compared with InsRfl mice (n = 6–8/group). (B) Body weight progression in InsRfl (n = 31) and LRΔInsR (n = 26) males (M) or InsRfl (n = 22) and LRΔInsR (n = 22) females (F) from 3 independent cohorts. (C) Snout-anus distances of InsRfl (n = 8) and LRΔInsR (n = 7) males and InsRfl and LRΔInsR (n = 10/group) females at 12 weeks of age were not different. (DF) CLAMS study in males (n = 8/group) for total food intake (24 hours; D); (E) energy expenditure averages for dark and light phases; and (F) locomotor activity, which were not different between genotypes. (G) Glucose levels at basal (0 minutes), 15, 30, 60, and 120 minutes after oral glucose tolerance test (OGTT; t14 = 2.73, P = 0.016 at basal; t14 = 2.72, P = 0.016 at 120 minutes). (H) Quantification using area under the curve (AUC) in adult InsRfl and LRΔInsR males (n = 8/group; t14 = 1.74, P = 0.1). (I) Day of vaginal opening in InsRfl (n = 17) and LRΔInsR (n = 19) mice, (J) first estrus progression in InsRfl (n = 12) and LRΔInsR (n = 15) mice, (K) estrous cycle length (n = 13/genotype), and (L) litter size of InsRfl (n = 9) and LRΔInsR (n = 7) mice. Note a delay in pubertal completion in LRΔInsR mice (J). Each point represents 1 individual mouse. Data are presented as mean ± SEM. *P < 0.05 versus control by repeated-measures 2-way ANOVA with Holm-Sidak’s multiple comparisons test in B and 2-tailed Student’s t test in A and CL.

Discussion

Studies from several groups have suggested that PI3K acts as a common intracellular signaling in leptin and insulin function (4, 6, 8, 37). To dissociate the effects of both hormones and gain insights into the role of PI3K downstream of leptin action, we deleted PI3K catalytic subunits only in LR cells. A similar approach has produced compelling data on the requirement of STAT3, STAT5, and PTEN actions downstream of leptin signaling (14, 23, 26). Because the coexpression of LR and InsR has not been systematically investigated, we assessed if lack of insulin signaling in LR cells accounts for the phenotype observed following LR PI3K deletion. LRΔInsR mice are overtly normal, with only a mild delay for pubertal completion in females. This phenotype is similar to what we observed in mice with deletion of InsR in kisspeptin neurons (38) and demonstrates that the global phenotypic changes caused by PI3K deletion in LR cells are not due to blockade of insulin signaling.

The metabolic phenotype of LRΔα+β and LRΔα mice may seem unexpected considering previous data obtained with inactivation of PI3K signaling in POMC and SF1 neurons. It is important to emphasize that although the melanocortin cells in the Arc and SF1 neurons in the VMH have been the main focus of research in PI3K action in metabolic regulation (1618, 20, 21), those populations are heterogeneous; only subsets of POMC, AgRP, and SF1 neurons coexpress LR (19, 36, 39). Subpopulations of those neurons are also responsive to insulin and other growth factors (18, 19, 36). Therefore, it is not clear if the metabolic phenotype of those mice is associated with lack of leptin, insulin, or other signals.

Here, we used the selective deletion of PI3K catalytic subunits in LR cells. This approach has produced important data on the role of JAK/STAT, IRS2, and PTEN signaling downstream of leptin action (14, 25, 26). We were able to dissociate the effects of PI3Kα and PI3Kβ in metabolic regulation and demonstrate the requirement for PI3Kα in LR for growth and reproduction. Disruption of thermogenesis and locomotor activity and altered glucose homeostasis were only observed following deletion of PI3Kβ in LR cells. Our findings indicate a dissociated role of distinct PI3K catalytic subunits downstream of leptin signaling, which has also been suggested by studies using chemically defined hypothalamic neurons (14, 20, 21).

The metabolic similarities between mice with deletion of PI3K and those with deletion of PTEN in LR cells were intriguing (14, 20, 21). PTEN is a phosphatase associated with conversion of PIP3 to PIP2, resulting in PI3K inactivation (40). We report that lack of PI3K subunits induced a decrease of PTEN expression that can also affect other signaling pathways, including the MAPK pathway. This effect may have mimicked the phenotype of partial deletion of PTEN in LR cells (14). Moreover, increased basal levels of pAKT and leptin-induced pSTAT3 produced a phenotype of increased leptin sensitivity in metabolic regulation. Our findings are also in agreement with previous studies showing that PI3Kα is required for the acute effects of leptin on food intake and, together, indicate that POMC neurons expressing LR relay this acute response (4). The disruption of AgRP regulation (mRNA and protein levels) also suggests that PI3K in AgRP neurons is necessary for energy balance during metabolic challenges (7, 16).

PI3K subunits in chemically identified hypothalamic neurons are required for insulin and glucose homeostasis (6, 13, 14, 22). Except for the low levels of insulin in LRΔα+β mice (also observed in mice with deletion of PTEN in LR cells), our findings indicate that these responses are driven by cells outside the LR population (13, 35). Previous studies have shown that deletion of insulin receptor substrate 2 (IRS2) in LR cells, thought to be upstream of leptin action in PI3K, results in obesity, glucose intolerance, and insulin resistance (41). Those mice were still responsive to leptin, suggesting developmental adaptations, redundancy, or unknown mechanisms may have been triggered by this manipulation. It also suggests that blockade of either IRS2 or PI3K catalytic subunits alters distinct intracellular signaling responses in LR cells.

LRΔα+β and LRΔα mice showed apparent similarities to those with heterozygous kinase-dead PI3Kα mutation (D993A). The D993A mice have reduced body weight and body length (1), but, in contrast to LRΔα+β and LRΔα mice, the growth phenotype of the D993A mice is detected during early postnatal development, suggesting a disruption of IGF1 signaling (1). Because the decreased growth of LRΔα+β and LRΔα mice is only detected following pubertal maturation, IGF1 signaling is not the major player. Rather, our findings indicate that leptin action in growth and bone accrual is mediated by PI3K signaling (42, 43). This is in line with the reduced body length of leptin signaling deficient mice and the lack of a growth phenotype following inactivation of STAT signaling in LR cells (23, 24).

The consequences of these genetic ablations to the reproductive physiology are striking. The LRΔα mice have a phenotype reminiscent of states of negative energy balance, i.e., delayed sexual maturation, prolonged oligoovulatory cycles, and subfertility (44, 45). Due to the metabolic phenotype of the LRΔα mice, we further assessed if the reproductive deficits were secondary to their persistent condition of negative energy balance. This hypothesis was refuted by data from two distinct nutritional and pharmacological paradigms. While restoration of leptin levels in wild-type mice under negative energy balance improved the reproductive parameters (46), LRΔα females were unresponsive to leptin’s effect.

The identity of LR cells driving the reproductive phenotype of LRΔα mice is unknown. LR is also expressed in gonads (47), but most of leptin’s effects on the reproductive axis are relayed by the brain (4850). One potential candidate is the AgRP neuronal population, due to its role in leptin’s function and the disrupted expression of AgRP mRNA and peptide of LRΔα mice (5153). Leptin acts to downregulate AgRP expression and to inhibit AgRP cell activity (5456). These actions of leptin require PI3K signaling (7, 8). Deletion of PI3K signaling in LR cells caused lack of responsiveness of AgRP to metabolic cues, potentially leptin, resulting in higher AgRP expression in fed conditions, associated with increased food intake. The AgRP neurons have inhibitory actions on the reproductive axis (5153). Therefore, high levels of AgRP may have disrupted the reproductive function of LRΔα mice. Alternatively, PI3K is also required for the acute neuronal response of LR cells in the PMV, a key neuronal nucleus for pubertal development in females (17, 50). Lack of PI3K signaling in PMV LR neurons precludes the cellular responses to leptin potentially disrupting pubertal maturation and the reproductive function.

The regulation of PI3K signaling is complex, and the genetic manipulation of specific subunits may generate unexpected phenotypes. Examples of this are mouse models with deletion of p85α or p85β regulatory subunits. Although PI3K is crucial for insulin action in glucose homeostasis, the genetic disruption of p85 subunits increases insulin sensitivity and causes hypoglycemia (5760). Our findings in LRΔα mice indicate a similar effect with increased leptin sensitivity for metabolic regulation suggested by the decrease in body weight and increase in leptin-induced pSTAT3 in the hypothalamus. Although the metabolic effects of leptin in our experimental model appear potentiated, an impairment of growth and reproductive physiology is apparent. These results indicate that leptin’s effects on metabolism, on growth, and on reproduction engage distinct molecular pathways.

Comprehensive genomic analyses in humans have identified PI3K as one of the pathways associated with age at menarche (61). Our findings strengthen these findings and show that PI3K signaling in LR cells is a crucial component of pubertal maturation and reproductive function in adult life. The higher leptin sensitivity in metabolic control and the decreased growth of LRΔα mice also make PI3K a potential player in conditions of delay in growth and puberty in humans and in hypothalamic amenorrhea of women in negative energy balance. Our findings also emphasize the need for a systematic evaluation of PI3K action in whole-body physiology, as clinical trials are on the way to assess the effects of using PI3Kα inhibitors as a potential therapeutic target in oncology (62).

Methods

Animal models.

LepR-Cre (JAX mice, stock 008320) (63), Pik3ca (stock 017704) (64), Pik3cb (stock 017705) (2), Insr (stock 006955) (65), and reporter R26-tdTomato (stock 007914) (27, 66) mice were housed in an Association for Assessment and Accreditation of Laboratory Animal Care–accredited animal facility at the University of Michigan under controlled light cycle (12 hours on/off) and temperature (21°C–23°C) conditions. Inbred mouse strains were maintained in the original mixed genetic background C57BL/6 Sv129, and mice with excised genes were bred to homozygosity and were housed by genotype to avoid pheromone synchronization (67). Mice were fed with a phytoestrogen-reduced diet 2016 (16% protein/4% fat), a higher protein and fat phytoestrogen-reduced diet 2019 (19% protein/8% fat) when breeding, or a HFD (42% fat, TD.88137, Envigo) with free access to water. A phytoestrogen-reduced diet was used to avoid the effect of exogenous estrogen in reproductive physiology.

To inactivate the catalytic PI3K p110α and p110β subunits or InsR in LR-expressing neurons, LR-Cre mice were crossed with mice carrying loxP-modified p110α (Pik3ca gene, αfl), p110β (Pik3cb gene, βfl), or InsRfl alleles. Preliminary observations indicated that enhanced Cre-mediated excision was obtained in LR-Cre homozygous animals (Supplemental Figure 2, A and B, and ref. 68). Therefore, our experimental mice were those homozygous for the Lepr-Cre allele (LRcre/cre) and homozygous for the Pik3ca-loxP (p110α-loxP) allele (LRΔα) and the Pik3cb-loxP (p110β-loxP) alleles (LRΔα+β) or the Insr-loxP allele (LRΔInsR). Control groups were comprised of mice homozygous for the floxed alleles (αfl, αflfl, and InsRfl) and for the Cre allele (LRcre/cre). In order to visualize the LR-expressing neurons, we crossed LRcre/cre, LRΔα, LRΔα+β, or LRΔInsR mice with the R26-tdTomato reporter mouse (27, 69). Mice were genotyped at weaning (3 weeks of age) and at the end of the experiments using the pairs of primers described in Supplemental Table 1. PCR amplification of the genomic regions flanked by loxP sites, combined with the detection of the Cre transgene in tail-derived DNA, was performed (REDExtract-N-Amp Tissue PCR Kit XNAT, MilliporeSigma).

Assessment of metabolic phenotyping.

Body weight of mutant and control mice was monitored weekly throughout the experiments. Oxygen consumption (VO2), carbon dioxide production (VCO2), spontaneous motor activity, and food intake were measured using the Comprehensive Laboratory Monitoring System (CLAMS, Columbus Instruments), an integrated open-circuit calorimeter equipped with an optical beam activity monitoring device, at the University of Michigan Animal Phenotyping Core. Adult LRΔα+β, LRΔα, and control (n = 8/genotype) males were weighed before the measurements and individually placed into the sealed chambers (7.9 inches × 4 inches × 5 inches) with free access to food and water. The study was carried out in an experimentation room set at 21°C–23°C with 12-hour-light/dark cycles. The metabolic assessments were carried out continuously for 96 hours after 48 hours of adaptation. During this time, animals were provided with food and water through the equipped feeding and drinking devices located inside the chamber. Food intake for each animal was monitored through a precision balance attached below the chamber. VO2 and VCO2 in each chamber were sampled sequentially for 5 seconds in a 10-minute interval, and the motor activity was recorded every second in x and z dimensions. The airflow rate through the chambers was adjusted to the level to keep the oxygen differential around 0.3% at resting conditions. Body fat and lean mass were measured using an NMR-based analyzer (Minispec LF90II, Bruker Optics) in conscious mice. RER was calculated as VCO2/VO2, and total energy expenditure was obtained based on the following formula: EE = [VO2 × (3.815 + 1.232 × RER)].

Assessment of reproductive phenotype.

Timing of puberty onset was monitored daily after weaning for external signs of puberty onset by determining the day of vaginal opening or balanopreputial separation and timing for the occurrence of first estrus, defined by the identification of keratinized cells for 2 consecutive days after 2 previous days with leukocytes in the vaginal lavage or by an estrus stage preceded by a proestrus stage (38, 70, 71). For puberty characterization, animals were grown in normalized litters (6–9 pups/litter). Estrous cyclicity was assessed in young adult virgin mice and after pregnancy and lactation. Fertility, latency to pregnancy, and the number of pups per litter were assessed in control and experimental mice.

Tissue collection and histology.

Adult experimental and control male mice were deeply anesthetized with isoflurane (Fluriso, VetOne) and euthanized by decapitation. Blood from the trunk and peripheral tissues was quickly collected and immediately frozen in dry ice or liquid nitrogen. To assess deletion of specific gene targets and changes in transcript levels, a mouse brain matrix was used to obtain 1-mm frontal sections. A hypothalamic section at the level of the infundibulum/median eminence was used to dissect out a region containing the Arc, where LepR is highly expressed (69), by using a Palkovits punch (1.25-mm diameter) technique. Tissues were stored at –80°C until RNA extraction was performed. Additionally, brains from adult male mice were collected after perfusion with 10% buffered formalin, and coronal sections were processed for ISH or IHC, as described below.

Leptin administration.

Peripubertal LRΔα and control females were supplemented with i.p. saline or leptin (2 μg/g of body weight per day, purchased from A.F. Parlow, Harbor-UCLA Medical Center, Torrance, California, USA, through the National Hormone and Peptide Program), from P35 to P55 (n = 8–12/treatment). To evaluate leptin sensitivity, the effect of leptin injection on food intake was evaluated in adult LRΔα (n = 8/treatment) and control (n = 9/treatment) male mice. Males of both genotypes were fasted for 24 hours and injected with i.p. leptin (5 μg/g of body weight) before lights off (at 6:00 PM) and were immediately refed. Food intake and body weight were measured after 3 hours of refeeding.

To assess leptin signaling and changes in transcript levels, LRΔα and control (n = 6/group) male mice were fasted overnight and injected with i.p. saline or leptin (2.5 μg/g of body weight) at 11:00 AM; 30 minutes after injections, punches of the Arc were collected for qPCR analysis. For evaluation of leptin-induced phosphorylation of STAT3 and PTEN in the hypothalamus, diestrus LRΔα and control (n = 8/group) mice were fasted overnight and injected with 2.5 μg/g of body weight of leptin at 11:00 AM; 30 minutes after i.p. leptin injection, the mediobasal hypothalamus (MBH) was collected for protein analysis, as described below. For leptin-induced pAKT, MBHs from fasted diestrus LRΔα and control females were collected after 15 minutes of i.p. leptin injection.

Nutritional manipulation.

Another cohort of LRΔα and control mice was used to assess the effect of postnatal overnutrition on the timing of puberty (31). At P1–P2, litter size was adjusted to produce mice in different nutritional states during postnatal development, i.e., overnutrition or small litter (SL: 2–4 pups/litter) and regular nutrition or normal litter (NL: 6–9 pups/litter). Body weight was monitored weekly after weaning, and vaginal lavages were collected starting at P32 to determine time of sexual maturation (first estrus) in control (n = 26; αfl-NL) and LRΔα (LRΔα-NL, n = 12; and LRΔα-SL, n = 13) mice. Additionally, serum samples for hormonal assay and ovaries were collected (n = 6–10/group) from mice at P40. One cohort of adult LRΔα and control females was subjected to an obesogenic manipulation (HFD) for 15 weeks. Estrous cycle was assessed for 6 weeks, starting at week 7 of diet change (n = 9–10/group).

Intracerebroventricular injection.

Diestrus LRΔα and control females were fasted for 3 hours, anesthetized with isoflurane and mounted onto a stereotaxic apparatus (model 1900; Kopf Instruments) over a heating pad for implantation of a stainless-steel cannula into the right lateral ventricle (anteroposterior, 0.3 mm; lateral, 1.0 mm; and dorsoventral, 2.5 mm below the skull, relative to bregma). A single bolus injection of 12 μM insulin or vehicle (3 μl) was injected, and mice were perfused after 15 minutes for brain collection and assessment of insulin signaling.

Glucose and insulin tolerance tests and hormone assays.

For oral glucose tolerance test, adult LRΔα+β, LRΔα, and control males were fasted for 5 hours and received oral glucose (2 g/kg) by gavage. Blood samples were collected prior to and after glucose gavage at times 0, 15, 30, 60, and 120 minutes via tail-vein bleeding. For insulin tolerance test, adult LRΔα+β and control mice were fasted for 5 hours and 1 U/kg insulin was given via i.p. injection. Blood was collected prior to and after insulin injection at times 0, 15, 30, 60, and 120 minutes via tail-vein bleeding. Glucose levels were measured using a glucometer (Accu-Check, Roche), and plasma insulin levels were determined using a rat/mouse insulin ELISA kit (Millipore). The limit of sensitivity of the assay was 0.2 ng/ml, precision intraassay coefficient of variation (CV) was 8.35%, and interassay CV was 17.9%.

Blood samples were clotted for 45 minutes at room temperature and centrifuged for 15 minutes at 1,000 g at 4 °C, and the serum was removed and stored at –20°C. Serum leptin levels were measured using the Millipore ELISA kit according to the manufacturer’s instructions. The sensitivity of the leptin assay was 0.05 ng/ml, and intraassay and interassay CV were 3.0%–4.6% and 1.1%–1.8%, respectively. The sensitivity of the mouse IGF1 high sensitivity ELISA kit was 2.8 ng/ml, and intraassay and interassay CV were 4.0%–6.8% and 6.2%–10.2%, respectively. For LH assay, sera were sent to the University of Virginia Ligand Assay and Core of the Center for Research in Reproduction (Charlottesville, Virginia, USA), where serum LH was measured in a single assay by a 2-site LH sandwich RIA with sensitivity of 0.04 ng/ml and intraassay CV of 6.24%.

IHC.

Adult LRΔα and control (LRcre/cre) tdTomato mice were anesthetized by inhalation of isoflurane and were transcardially perfused with diethyl pyrocarbonate-treated (DEPC-treated) 0.1 M PBS and 10% buffered formalin for 10 minutes. Brains were dissected and kept in post-fixative (20% sucrose in fixative) for 2 hours and cryoprotected overnight in 20% sucrose in DEPC-PBS. Brains were sectioned into 30-μm coronal sections on a freezing microtome (Leica SM 2010R), divided in 4 series, and stored at –20°C in DEPC-treated cryoprotectant. Brain sections were rinsed in PBS and blocked with 3% normal donkey serum in PBS + 0.25% Triton-X 100 for 1 hour at room temperature. Sections were incubated overnight at 4°C with primary rabbit anti-AgRP (1:5,000, Phoenix Pharmaceuticals H-003-57), rabbit anti-phospho-AKT Ser473 (1:1,000, Cell Signaling Technologies, 4060), or rabbit anti-FoxO1 (1:1,000, Cell Signaling, 2880). Sections were rinsed and incubated with secondary donkey anti-rabbit IgG conjugated with fluorochrome Alexa Fluor 488 (Life Technologies) for 1.5 hour. The tdTomato red fluorescence is expressed specifically in LR cells of LepR-Cre mice and does not require additional immunostaining. Sections were mounted on gelatin-precoated slides and coverslipped with Fluoromont-G (Electron Microscopy Sciences) medium. Photomicrographs were acquired using Axio Imager M2 (Carl Zeiss) and Leica SP5 inverted 2-photon FLIM confocal microscopes. For quantification of pAKT/tdTomato and FoxO1/tdTomato cells and PVH AgRP projections, all images were acquired with same exposure time and images were quantified using ImageJ software (NIH, http://rsb.info.nih.gov/ij). Image-editing software (Adobe Photoshop CC) was used to integrate graphs and digital images into figures.

Dual-label ISH and IHC.

Dual-label ISH and IHC were performed to determine the localization of Pik3ca mRNA in LR neurons (LRcre/cre/tdTomato mice) and assess the deletion of p110α subunit, as previously described (17). Briefly, free-floating sections from adult males (n = 4) were treated with 0.1% sodium borohydride for 15 minutes and with 0.25% acetic anhydride in DEPC-treated 0.1 M triethanolamine (pH 8.0) for 10 minutes. Sections were incubated overnight at 50°C in hybridization solution (50% formamide, 10 mM Tris-HCl, pH 8.0, 5 mg tRNA, 10 mM dithiotreitol/DTT, 10% dextran sulfate, 0.3 M NaCl, 1 mM EDTA, and 1× Denhardt’s solution) containing the 35S-labeled Pik3ca riboprobe (17). Subsequently, sections were treated with RNase A for 30 minutes and submitted to stringency washes in sodium chloride-sodium citrate buffer. Sections were blocked in 3% BSA (in PBS-Triton) and then incubated with a rabbit anti-dsRed (1:5,000; Clontech, 632496) antibody overnight at 4°C. Sections were incubated for 1.5 hours in donkey anti-rabbit IgG-linked Alexa Fluor 594 (Alexa Fluor, Life Technologies) and were mounted onto SuperFrost plus slides, dehydrated in increasing concentrations of ethanol, dipped in NTB-2 autoradiographic emulsion (Kodak), dried, and stored in light-protected boxes at 4°C for 3 weeks. Slides were developed with D-19 developer (Kodak), dehydrated in graded ethanol, cleared in xylenes, and coverslipped with DPX mounting medium.

Microcomputed tomography.

Dissected femora and lumbar vertebrae from females (n = 6/genotype) at P60 were immersed in PBS and stored at –20°C. Bones were scanned using a cone beam microtomographic imaging system (eXplore Locus SP, GE Healthcare Preclinical Imaging) to determine the tissue microarchitecture and densitometry. Scan parameters included an X-ray tube with a voltage of 80 kV, a current of 80 μA, and a 1,600-ms exposure time and a 0.508-mm aluminum filter to reduce beam-hardening artifacts and a 0.7° increment angle. All images were reconstructed at an 18-μm isotropic voxel size and calibrated to a manufacturer-supplied phantom of air, water, and hydroxyapatite. MicroView v2.2 Advanced Bone Analysis Application (GE Healthcare Preclinical Imaging) software was employed for the reconstruction of the images. For trabecular measurements, regions of interest were placed proximal to the distal growth plate and spanned 10% of the entire length of the femur. Cortical regions of interest were placed at the middiaphysis and spanned 18% of the entire length of femur.

FACS.

LRcre/+ tdTomato (used as controls) and LRcre/+ tdTomato p110α-floxed (LRcre/+fl) mice were quickly decapitated and a MBH block was placed in a cold HBSS (Invitrogen). After a quick spin down, HBSS was replaced with 500 μl of a 5% dispase solution in HBSS and incubated at 37°C for 15 minutes, with mechanical dissociation of the tissue by pipetting up and down. The addition of 500 μl FACS buffer (2.2 ml 45% tissue-culture grade D-glucose; 10 μl 0.5 M EDTA, pH 8.0, 30 mg BSA in 10 ml HBSS) was used to neutralize the dispase activity. The dissociated cells were pelleted at 2,000 g for 10 minutes at 4°C. The supernatant was removed, and the pellet was dissolved in 500 μl FACS buffer and filtered in a cell-strainer topped polypropylene tube. Live neurons were collected in a cold Eppendorf tube containing 500 μl of RNAlater solution (Ambion). The tubes were centrifuged at 5,000 g for 10 minutes at 4°C, the excess RNAlater was removed, and the neurons were frozen at –80°C until RNA extraction.

qPCR.

Collected tissues were homogenized in Qiazol reagent (Qiagen), and total RNA was isolated using an RNA extraction kit (miRNeasy, Qiagen). cDNA was synthesized using a SuperScript II reverse transcriptase and random primers (Invitrogen) according to the manufacturer’s protocols. Gene expression analyses were performed by qPCR using a CFX-384 Bio-Rad Real-Time PCR detection system in SYBR Green reaction. Changes in the expression of metabolic-related genes (i.e., Pomc, Agrp, Npy, Socs3, and Ucp1), class 1A PI3K-encoding genes (i.e., Pik3r1, Pik3r2, Pik3ca, Pik3cb, Pik3cd, and Pik3r4), and growth axis–related genes (Ghrh, Gh, Ghr, Sst, and Igf1) were evaluated using specific oligo primers (Supplemental Table 2) purchased from IDT and MilliporeSigma. Gapdh expression was used as a housekeeping gene. The mRNA expression in mutant versus control mice was determined by a comparative cycle threshold method, and relative gene copy number was calculated as 2–ΔΔCt and presented as the percentage of the relative mRNA expression of the control group.

Western blotting.

The MBH was dissected from an area about 1.0 mm lateral to the midline (optic tract as reference for lateral limit), at the anterior border of the optic chiasm and the anterior border of the mammillary bodies, and about 2.0 mm deep. Tissue was homogenized in 1% Triton-X 100, 25 mM Tris, pH 8.0, 1.5 mM EGTA, 0.5 mM EDTA, and protease inhibitor cocktail (PhosphoSTOP, Roche), and total protein was collected after centrifugation at 4°C and 15,000 g for 30 minutes. Aliquots of the lysates containing 25 μg total protein were denatured in Laemmli buffer and β-mercaptoethanol (Bio-Rad) at 95°C for 5 minutes. Samples were separated by electrophoresis in SDS-PAGE and blotted onto a nitrocellulose membrane. Blots were blocked in 3% BSA in Tris-buffered saline–Tween 20 (TBS-T) for 60 minutes at room temperature and incubated overnight with the following primary antibodies: rabbit anti-phospho-STAT3 Tyr705 (1:2,000, Cell Signaling, 9131), mouse anti-STAT3 (1:1,000, Santa Cruz, 8019), anti-phospho-AKT Ser473 (1:3,000, Cell Signaling, 4060), rabbit anti-PTEN (1:3,000, Cell Signaling, 9188), or rabbit anti-GAPDH (1:4,000, Cell Signaling 5174). Membranes were rinsed in TBS-T and then incubated with horseradish peroxidase–linked anti-rabbit (1:4,000, Cell Signaling, 7074) or anti-mouse (1:4,000, Cell Signaling, 7076) IgG for 1 hour at room temperature. Chemiluminescent signal from antibody-antigen complexes was detected by Pierce ECL substrate (Thermo Scientific) and digital images were acquired in a ChemiDoc XRS+ system and analyzed with Image Lab software (Bio-Rad). Expression of pSTAT3 was normalized to STAT3 protein; PTEN levels were normalized to GAPDH protein; and pAKT was normalized to AKT protein. Data are presented as percentage of relative expression.

Statistics.

Data are expressed as mean ± SEM. Unpaired 2-tailed Student’s t test was used for comparison between 2 groups (e.g., control and LRΔα mice). When more than 2 independent variables were present in the analysis, 1-way ANOVA followed by Newman-Keuls post-hoc multiple comparison test was used. For analysis of effect of treatment and genotype, 2-way ANOVA followed by Tukey’s post-hoc test was used. For analysis of effect of treatment and/or genotype in repeated-measures 2-way ANOVA followed by Holm-Sidak’s multiple comparisons test was used. Statistical analysis was performed using GraphPad Prism v.7 and SPSS v.20 softwares. A P value of less than or equal to 0.05 was considered significant in all analyses. Group size estimations were based on similar studies published previously.

Study approval.

All experiments were carried out in accordance with the guidelines established by the NIH’s Guide for the Care and Use of Laboratory Animals (National Academies Press, 2011) and approved by the Institutional Animal Care and Use Committee of the University of Michigan (protocols 04380 and 06792).

Author contributions

DGG, BCB, and JD performed experiments and analyzed data. DGG, BCB, and NB acquired images and prepared data illustration. DGG, JWH, and CFE contributed to the study concept and experimental design. DGG, BCB, MW, and SJA produced the mouse colonies and genotyped the mice. JJZ developed the PI3K mouse models. KMK contributed to design and discussion of bone data. DGG and CFE supervised the project and wrote the manuscript.

Supplementary Material

Supplemental data

Acknowledgments

The University of Michigan Animal Phenotyping Core is supported by NIH P30 grants DK020572 (Michigan Diabetes Research Center) and DK089503 (Michigan Nutrition Obesity Research Center ). We thank the Ligand Core University of Virginia (National Centers for Translational Research in Reproduction and Infertility grant P50-HD28934), Basma Khoury for assistance in microcomputed tomography analysis, and Joel Elmquist for the critical review of the manuscript. This work was supported by the NIH (HD61539 and HD069702 to CFE), the São Paulo Research Foundation fellowship (FAPESP 2013/03915-0 to BCB), and The LALOR Foundation fellowship to DGG.

Version 1. 12/07/2017

Electronic publication

Footnotes

Conflict of interest: The authors have declared that no conflict of interest exists.

Reference information: JCI Insight. 2017;2(23):e96728. https://doi.org/10.1172/jci.insight.96728.

Contributor Information

David Garcia-Galiano, Email: dgarciag@umich.edu.

Susan J. Allen, Email: sjallen@umich.edu.

Nicole Bellefontaine, Email: nbellef@med.umich.edu.

Mengjie Wang, Email: Mengjie.Wang@rockets.utoledo.edu.

Jennifer W. Hill, Email: JenniferW.Hill@utoledo.edu.

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