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. Author manuscript; available in PMC: 2013 Mar 5.
Published in final edited form as: Aging Cell. 2011 Dec;10(6):1080–1088. doi: 10.1111/j.1474-9726.2011.00751.x

Post-transcriptional regulation of IGF1R by key microRNAs in long-lived mutant mice

Ruqiang Liang 1,2,*, Amit Khanna 1,2,*, Senthilkumar Muthusamy 1,2, Na Li 1,2, Harshini Sarojini 1,2, John J Kopchick 3, Michal M Masternak 4,5,6, Andrzej Bartke 4, Eugenia Wang 1,2,
PMCID: PMC3587961  NIHMSID: NIHMS329777  PMID: 21967153

Summary

Long-lived mutant mice, both Ames dwarf and growth hormone receptor gene disrupted or knockout (GHRKO) strains, exhibit heightened cognitive robustness and altered IGF1 signaling in the brain. Here we report, in both these long-lived mice, that three up-regulated lead microRNAs, miR-470, −669b, and −681, are involved in post-transcriptional regulation of genes pertinent to growth hormone (GH)/IGF1 signaling. All three are most prominently localized in the hippocampus, and correspond to reduced expression of key IGF1 signaling genes: IGF1, IGF1R, and PI3 kinase. The decline in these genes’ expression translates into decreased phosphorylation of downstream molecules AKT and FoxO3a. Cultures transfected with either miR-470, −669b, or −681 show repressed endogenous expression of all three genes of the IGF1 signaling axis, most significantly IGF1R, while other similarly up-regulated microRNAs, including let-7g and miR-509, do not induce the same levels of repression. Transduction study in IGF1-responsive cell cultures shows significantly reduced IGF1R expression, and AKT to some extent, most notably by miR-681. This is accompanied by decreased levels of downstream phosphorylated forms of AKT and FoxO3a upon IGF1 stimulation. Suppression of IGF1R by the three microRNAs is further validated by IGF1R 3′UTR reporter assays. Taken together, our results suggest that miR-470, miR-669b, and miR-681 are all functionally able to suppress IGF1R and AKT, two upstream genes controlling FoxO3a phosphorylation status. Their up-regulation in GH signaling-deficient mutant mouse brain suggests reduced IGF1 signaling at the post-transcriptional level, for numerous gains of neuronal function in these long-lived mice.

Keywords: microRNA, aging, IGF1, IGF1R, growth hormone, Ames dwarf mice and GHRKO mice, miR-470, miR-669b, miR-681, cognitive robustness and longevity

Introduction

In the past decade, the insulin-like growth factor (IGF) axis of the somatotrophic signaling pathway has emerged as a major determining factor of longevity in mice; a parallel regulatory molecular mechanism is seen in evolutionarily distant species, including C. elegans and fruit flies (Rozing et al. 2009). Consistently, in every long-lived organism from worm to mouse, a common theme in regulation of life span is the loss of function of IGF signaling, precipitating an extension of life span (Bartke 2011). In mice, pulsate bursts of growth hormone (GH) from the anterior pituitary gland ensure GH biological activity, which involves binding to the GH receptor, leading to the synthesis and secretion of IGF1 (Le Roith et al. 2001). IGF1-induced intracellular signaling may be a prototypical example of the antagonistic pleiotropy paradigm of aging: genes needed early in life may be deleterious after reproduction or in old age (Aleman & Torres-Aleman 2009), as paradoxically, IGF signaling is necessary to promote growth and differentiation during development, yet its reduced activity is associated with life span extension in a wide variety of animals, and even in long-lived humans (Bartke 2011). Therefore, the switch from the developmental need for IGF action to reduced activity in adult life becomes a key molecular regulator of life span determination, providing specific control of GH-induced effects, and impacts various signaling pathways.

The Ames dwarf mouse has a mutation in the prop-1 locus, leading to GH, prolactin, and thyroid-stimulating hormone deficiencies (Sornson et al. 1996). These mutants are hypersensitive to insulin, maintaining lower fasting glucose concentrations (Dominici et al. 2002). However, the impact of GH loss in Ames dwarves, intertwined with the loss of the other two hormones, raises the need for a much cleaner mouse model; this is fulfilled by a mouse strain in which the GHR/binding protein gene has been disrupted (GHRKO) (Zhou et al. 1997). This mouse is long-lived (Coschigano et al. 2000), and similar phenotypically and physiologically to the Ames dwarf, but without the complications of prolactin and thyrotropin deficiencies (Hauck & Bartke 2000). Thus, these long-lived dwarf mice share as common characteristics GH signaling deficiency, low circulating IGF1, and high insulin sensitivity.

Due to pioneering work on allele deletion from C. elegans to hormone-deficient mutant mice, the loss of IGF1 signaling and its impact on longevity have become central themes of longevity studies (Flurkey et al. 2001); a current trend studies their outcome impact on metabolism through target of rapamycin (TOR) signaling (Martin & Hall 2005). The crosstalk between GH and IGF1 creates fascinating complexities, linking many intriguing functions of dozens or hundreds of networks in the organismic determination of life span (Dominici et al. 2005). Despite this complex scenario, a central axis remains at the core of the intertwining networks: that is, from C. elegans to mice, IGF1 binds to IGF1R, activating intracellular kinases like phosphatidylinositol-3 kinase (PI3K), which in turn facilitates phosphorylation of protein kinase B (PKB/Akt) (Cantley 2002; Vivanco & Sawyers 2002). This activated PI3K/Akt pathway changes the phosphorylation status of a subgroup of the Forkhead family of transcription factors (FoxO proteins) that are instrumental in regulating genes involved in apoptosis, metabolism and cell cycle process (Tran et al. 2003). Akt phosphorylates transcription factor FoxO3a, enforcing its cytoplasmic localization and thus preventing its nuclear translocation, and truncating its transcriptional activation of hundreds of genes (Brunet et al. 1999). An interesting facet of the pro-longevity function of nuclear FoxO3a is its counteracting role in reducing oxidative stress by activating transcription of antioxidant enzymes such as mitochondrial superoxide dismutase (MnSOD), catalase, etc.

The amazing parallel life span extension between mutant mice with hormonal deficiency and C. elegans via genetic mutation led us to realize that levels of control of longevity could be achieved without the gross knockdown of one allele of members of the IGF1 signaling pathway. However, a missing link in our understanding of GH-induced signaling deficiency, and reduced signaling of the cascade of molecular events described above, is how the loss of function actually occurs, and what are the pivotal factors switching genes to a lower activity mode. In C. elegans, modulation of IGF1 signaling is widely reported to be regulated by various molecular factors that maintain equilibrium between aging and anti-aging, either dependent upon or independent of FoxO3a transcription factor activity (Gems & McElwee 2003; McElwee et al. 2006; Ayyadevara et al. 2009; Shmookler Reis et al. 2011). Not surprisingly, the role of microRNAs (miRNAs) in regulation of GH/IGF signaling has been reported recently (Yu et al. 2008; Maes et al. 2009; Shan et al. 2009), controlling the equilibrium between expression of these non-coding RNAs and the levels of their target gene expressions. We and others have reported that profiles of miRNA expression change during aging, and their target genes are involved in many vital cellular functions; this is well documented in degenerative processes during normal aging (Li et al. 2009; Liang et al. 2009; Maes et al. 2009; Bates et al. 2010; Lanceta et al. 2010; Khanna et al. 2011; Li et al. 2011). Conceptually, the intermediate regulatory steps between reduced growth hormone signaling and its impact on the expression of genes involved in the IGF1 axis are best accomplished via one or more families of molecular factors with efficient and versatile modes of operation. As reported earlier by our group, increased miR-27a expression in Ames dwarf mouse liver represses genes involved in oncogenesis, associated with the reduction of tumor incidence in Dwarf mice (Bates et al. 2010). The present paper is the sequel to this paper on Ames dwarf mouse liver, aiming to unravel the miRNA-directed regulation of the other phenotype associated with long-lived mice, i.e. the gain of neuronal functionality, mainly manifest in cognitive robustness.

In this report we include GHRKO mutant mice, not only because of the direct impact on the IGF1 pathway of specific growth hormone signaling deficiency, but also for comparative analysis of parallel miRNA-directed regulation in Ames dwarf mutants. Using an in-house designed miRNA microarray chip assay (MM Chips), we identified over-expression of five miRNAs (miR-470, −669b, −681, −501-5p, and let-7g) in Ames dwarf mouse brain, validated by quantitative PCR (qPCR) and in situ hybridization(ISH)in brain tissues for the first three miRNAs. Quantitative PCR and ISH studies show that miR-470, −669b and −681 are up-regulated in the GHRKO brain as well. Increase of these three miRNA expressions corresponds to decreases of IGF1, IGF1R, and PI3 kinase, and the phosphorylated forms of their downstream members, AKT and FoxO3a in both mutants. Transfection study shows that miR-470, −669b or−681repressesIGF1Rmore significantly than the other related proteins; this is further validated by their individual capability to repress the expression of the reporter construct of this gene’s 3′-untranslated region (3′UTR). Finally, the direct impact of each of these three miRNAs on IGF1R and other related genes of this signaling pathway was tested by IGF1 stimulation in IGF1-responsive cultures expressing any of the three miRNAs. Our results show that upon stimulation with IGF1, miRNA over-expressing cultures exhibit repressed expression primarily of IGF1R, with some degree of repression of AKT as well, most notably by miR-681. Most importantly, cultures expressing any of these three miRNAs show significantly reduced levels of phosphorylated AKT and FoxO3a. These results led us to suggest that these three miRNAs, miR-470, −669b, and −681, are each functionally capable of repressing the expression of IGF1R as well as AKT, inducing lower FoxO3a phosphorylation status, thus dampening the IGF1 pathway by post-transcriptional control in the brain of long-lived mouse mutants.

Results

Identification of lead miRNAs in Ames dwarf mouse brain

The comparative expression of the miRNAs of interest was screened by MM Chips in brain samples of Ames dwarf mice and their wild-type counterparts of various age groups: for dwarf mice 2, 24 and 33 months, and for their wild-type littermate controls 2 and 24 months. The median survival life span for control mice is ~28 months, and that of the Ames dwarf ~38months; hence the selection of 24 and 33 months respectively as old age for the former, and old-old age for the latter, to avoid end of life span pathological complications. We have identified a list of most significantly up- and down-regulated miRNAs in dwarf mouse brain, between young and old age groups (Supplemental Tables S1A and S1B). From the results of MM Chip screening, we selected five lead up-regulated and two down-regulated miRNAs for further independent validation by primer-specific multiplex quantitative PCR assays, with the same samples used for the assays. All five up-regulated miRNAs, miR-470, −681 −669b, let-7g, and −501-5p, potentially target IGF1R of the somatotrophic axis. qPCR results validated the significant increase of three of them among various age groups, miR-470, −681 and −669b, in all age groups comparing mutant and wild-type controls(Fig. 1A).

Fig. 1. Expression of key miRNAs in Ames dwarf and littermate wild-type mouse brain.

Fig. 1

A graphical representation of expression levels using qualitative PCR of key miRNAs identified by MM Chips, and respective fold change values within the same age groups among Ames dwarf and littermate controls. D2, D24, D33, C2 and C24: D represents dwarf and C represents littermate WT control mice ages 2, 24 and 33 months respectively. Panel (A) shows key up-regulated miRNAs identified by MM Chips, and panel (B) shows key down-regulated miRNAs. (*p <0.01, **p < 0.0001; all histograms represent average ± std. dev.; n = 3, three samples from each age group of each genotype.)

The fold changes of the two lead down-regulated miRNAs, miR-96 and −709, were also validated by qPCR, as shown in Fig. 1B. However, these two miRNAs are also down-regulated in liver, when tissue specimens from the same age groups are used for comparison. Both miRNAs have targets in the families of anti-apoptosis genes; their down-regulation in liver during aging has been described in detail in our previous papers, including the old dwarf mouse liver study (Maes et al. 2008; Bates et al. 2010). Their down-regulated expression in brain here suggests that these two miRNAs may function in a general, systemic way. Since they have no candidate targets in the IGF1signaling axis, we have not yet studied these two miRNAs further.

MicroRNA over-expression plasmid transfection assays with the five up-regulated miRNAs show the repression of IGF1R protein expression most significantly with miR-470, −669b, and −681 with >30% decrease, while let-7g and miR-501-5p show ~10% repression (Supplemental Fig. S1 and Supplemental Table S2). Although let-7gand miR-501-5p both have potential binding sites in the 3′UTR of IGF1R according to bioinformatic data mining (data not shown), transfection assays show their functional role to be less significant than their sister miRNAs, miR-470, −669b, and-681. Similarly, except for miR-501-5p, the other four miRNAs all have binding sites on IGF1’s 3′UTR;the repression level of this gene is either none at all or <15%. Also, only miR-470 and −501-5p have binding sites on PI3kinase’s 3′UTR;the repression level of this gene is 20% or less, similar to that of let-7g. Taken together, these transfection assays led us to focus our investigation onIGF1R and the three miRNAs showing the most significant target repression, miR-470, −681, and −669b. Results shown below describe our focus on the selected three miRNAs and their shared target, IGF1R, in the IGF1 axis in long-lived mouse brain, compared with wild-type controls, as well as their direct impact on IGF signaling.

In situ detection of miRNAs in Ames dwarf mouse brain

In situ hybridization (ISH) of miR-470, −669b and −681 shows their expression to be prominently localized in the hippocampus at various ages in Ames dwarf mice brain, using LNA (locked nucleic acid) probes, as shown in Fig. 2A, 2B, and 2Crespectively. The densitometry values from the acquired images were normalized with regard to values from a hybridization control, where a scrambled LNA probe was used. Similarly increased LNA probe staining is also seen in the cortex of the same brain specimens. The intense localization in the hippocampus shows that this region, key to cognitive capability, indeed contains more of these three up-regulated miRNAs. These ISH data not only validate the expression profiles indicated by MM Chips and qPCR, but also provide further individual neuronal localization of miRNA expression, as well as their topographic profile in intact brain (Fig. 2).

Fig. 2. In situ detection of lead miRNAs in Ames dwarf and GHRKO mouse brains.

Fig. 2

In situ hybridization (ISH) detection of miRNAs (miR-470, −669b and −681) in brain tissues from Ames dwarf mice (D) at 2, 24, and 33 months, depicted as D2, D24, and D33 respectively, and littermate controls (C) at 2 and 24 months, labeled as C2 and C24 age groups (A, B, C). (D) Increased hybridization signal of these miRNAs in Ames dwarf mice across all age groups, as compared to WT littermates, may be observed. (*p < 0.01, **p < 0.0001; all histograms represent average ± std. dev.; n = 3, three samples from each age group of each genotype.) (E) In situ hybridization (ISH) detection of these three miRNAs in brain tissues from 2 month old GHRKO mice and littermate controls. (F) A graphical representation of densitometric analysis of their expression in cortex and hippocampus is shown. (*p < 0.01, **p < 0.0001; all histograms represent average ± std. dev.; n = 3, three samples from each age group of each genotype.)

Immunoblotting of key members of the GH/IGF1Axis

The putative inverse relationship between the three lead miRNAs and their candidate targets of the IGF1 signaling pathway was evaluated in the same tissue specimens used for the above studies, by immunoblotting to determine their levels of expression. We examined not only key members such as IGF1, IGF1R, PI3kinase, AKT andFoxO3a, but also the phosphorylated forms of the last two members, because reduced PI3 kinase activity, due to either its own down-regulation or upstream decreased expression of IGF1 and/or IGF1R, results in down-regulation of phosphorylated AKT, rendering it unable to phosphorylate FoxO3a, and allowing the latter to remain functional and unphosphorylated. In our Western blotting, shown in Fig. 3, the first three members, IGF1(14 kDa), IGF1R(represented by the 95kDa beta subunit, the cytoplasmic domain), and PI3K (85 kDa), all show reduced band intensities when equal amounts of protein are loaded (Fig. 3A); this was further verified by densitometric measurements of three repeats with three different mouse brains, after standardization with the β-actin (42 kDa) band (Fig. 3C). Interestingly, the total pool levels of AKT (pan-AKT, 56 kDa, including AKT1, AKT2, and AKT3) detected by the pan-AKT antibody and total FoxO3ado not show significant differences among all five groups’ comparison; but phosphorylated-AKT with the phospho-threonine at amino acid residue 308 (T308), and phosphorylated FoxO3a with the phospho-serine at amino acid residue 253 (S253), are significantly reduced in abundance compared to wild type (WT) littermates (Fig. 3A & C). As threonine 308 of AKT is phosphorylated by phosphoinositide-dependent protein kinase 1 (PDK1), the decrease of pAKT(T308) indicates that a lower level of PI3K is responsible for less AKT phosphorylation. Less activation of AKT, possiblyAKT2,(Cantley 2002; Vivanco & Sawyers 2002) leads to less phosphorylation of FoxO3a at Ser253, making more FoxO3a translocate into the nucleus to activate its target genes, such as antioxidant genes. Taken together, these results show that indeed three members of the IGF1 cascade, IGF1, IGF1R and PI3 kinase, are all down-regulated; AKT and FoxO3a, however, are down-regulated only in their phosphorylated forms, pAKT (T308) and pFoxO3a(S253).

Fig. 3. Altered GH signaling in Ames dwarf and GHRKO mouse brains.

Fig. 3

In Ames dwarf mouse brain tissues (A), age-dependent decreased levels of IGF1 (14 kDa), IGF1R (95 kDa beta subunit), PI3K(85kDa), pAKT(T308) and pFoxO3a (S253) are observed, compared to littermate WT control mice, but not in total pan-AKT (56 kDa) and FoxO3a (detected as a 100 kDa band). Similar decrease of these proteins in 2 month old GHRKO mouse brain tissues are observed compared to littermate WT controls (B), while total pan-AKT and total FoxO3a are not significantly changed. (C) A graphical representation of densitometric analysis of Western blots of Ames dwarf mouse brain. (*p < 0.01, **p < 0.0001; all histograms represent average ± std. dev.; n = 3, three samples from each age group of each genotype.) The age groups used are Ames dwarf at 2, 24, and 33 months, with D2, D24, and D33 labels, and the wild type control at 2 and 24 months, represented as C2 and C24 respectively. (D) A graphical representation of densitometric analysis of Western blots of GHRKO mouse brain. (*p < 0.01, **p < 0.0001; all histograms represent average ± std. dev.; n = 3, three samples from each age group of each genotype.)

Validation of lead up-regulated miRNAs of Ames dwarf mouse brain in GHRKO mutant

Based on the expression of the key up-regulated miRNAs in Ames dwarf mice as early as 2 months old, expression of miR-470, −669b and −681 was investigated in GHRKO mouse brains at the same age. Elevated expression of these miRNAs was observed in GHRKO mice brain samples, compared to littermate WT controls (Supplemental Fig. S2A). Fold change values for these miRNAs from qPCR indicate their increased expression in comparison to both long-lived mouse models in panel B of Supplemental Fig. S2 and in SupplementalTableS2.

Expansion of ISH and Immunoblotting Studies in GHRKO mouse brain

Further in situ hybridization study with LNA probes for the three miRNAs shows prominent horseshoe localization in the hippocampus of 2 month old GHRKO mouse brain, whereas wild-type controls display only weak staining intensity. The densitometry values from the acquired images were normalized with the values from a hybridization control where as crambled LNA probe was used. Statistical analysis of expression of our three miRNAs of interest shows that quantitative differences between GHRKO mouse brain and wild-type controls are even more significant than those obtained by qPCR assays (Fig. 2E&F).

The inverse relationship between the three miRNAs and their candidate targets of the IGF1 axis was examined in the same tissue specimens used for the above qPCR and ISH assays. Protein profiling of 2 month old GHRKO samples compared with WT littermates also yielded profiles similar to those in Ames dwarf specimens of the same age, with reduced expression of key IGF1axis genes, as shown in Fig. 3B. The densitometry values from the acquired images of the blots were normalized with the values of β-actin, used as internal control, and plotted as histograms (Fig. 3D). These quantitations from three mouse brains show that IGF1, IGF1R, and PI3 kinase all exhibit reduced levels in GHRKO mouse brain, while a lesser reduction of the total pool for AKT and FoxO3a indicates that the expression of these genes is unchanged. For these two proteins, the significant changes are in the phosphorylated fractions, pAKT (T308) and pFoXO3a (S253), reduced to at most the same levels as IGF1, IGF1R, and PI3kinase.

Functional determination of the lead miRNAs, and their impact on their targets

To evaluate the repression of GH/IGF1 axis genes by the three lead up-regulated miRNAs identified by array screening and validated by qPCR as well as in situ hybridization, we over-expressed miR-470, −669b, and −681 in IGF1-responsive model cell cultures of human fibroblasts (WI-38) at early population doubling levels. Specifically, we examined the effect of these miRNAs on IGF1-induced signaling. Cultures transduced with lentivirus over-expressing miR-470, −669b and −681 were serum-starved and subsequently stimulated by a physiologic level of IGF1, 100 ng/ml. Transduced cultures not expressing any of these three miRNAs, as well as untransduced WI-38 cultures, were used as controls, labeled “vector alone” and “uninfected” respectively in the Figures. Optimal IGF1-stimulated signaling was achieved at 90 minutes, based on the level of pAKT (T308), although pFoxO3a(S253)peaked at 30 minutes afterIGF1 stimulation(Fig. 4A). This observation recapitulates reports of decliningpFoxO3a(S253)even though pAKT (T308) increases in rat granulosa cells upon IGF1 stimulation (Richards et al. 2002). Since AKT is upstream of FoxO3a phosphorylation, we selected 90 minutes as a time point for experiments with >90% transduced expression(Fig. 4B, Supplemental Fig. S3). ReducingIGF1R(represented by the 95 kDa beta subunit, the cytoplasmic domain of this protein) and AKT by these miRNAs exerts a downstream chain effect involving FoxO3a (Fig. 4B). As shown Fig. 4B, quantitation of three repeated transduction experiments shows the reduction of pAKT (T308), as well as pFoxO3a (S253), with significant changes from either miR-470, miR-669b or miR-681 transduction. In particular, cultures transduced for miR-681 expression show very low levels of total AKT, with corresponding low levels of pAKT (T308). All densitometry values from the acquired images of the blots were normalized with β-actin values, used as internal control, and plotted in Fig. 4B. The reduction of IGF1R by all three miRNAs led us to focus our reporter assays on this gene’s 3′UTR in our co-transfection studies, described below.

Fig. 4. MiRNA-dependent altered expression of key genes of GH signaling.

Fig. 4

(A) Western blot analysis of total cell proteins at different time points after serum-deprived WI-38 cells are stimulated by IGF1. As a result of IGF1 stimulation, maximum phosphorylated Akt is seen at 90 minutes. Graphical representation of densitometric data showing the effect of IGF1 signaling at different time points in the form of a histogram is shown with normalized values. β-actin was used as an internal control. (B) Western blot analysis of miRNA (miR-470, −669b and −681) suppression of endogenous expression of GH/IGF axis genes in serum-starved and IGF1-stimulated WI-38 cells. Significant repression of IGF1R (represented by the 95 kDa beta subunit), pAKT (T308) and pFoxO3a (S253) by three key miRNAs (miR-470, −669b, and −681) is observed. No significant change in total AKt expression was observed except in miR-681 transduced cells. No significant change in total FoxO3a expression was observed. Graphical representation of densitometric data in the form of a histogram is shown with normalized values. β-actin was used as an internal control. (*p < 0.01, **p < 0.0001; all histograms represent average ± std. dev.; n = 3, three samples from each of three experiments.)

For the co-transfection assays, we constructed a red fluorescence reporter construct with full-length 3′UTR of IGF1R, following the protocols described in Methods. To understand how elevated expressions of the three miRNAs affect GH/IGF1 axis signaling, we conducted transient co-transfection experiments, with miR-470, −681, or −669b tagged with green fluorescence reporter constructs. At 72 hours post-transfection, cultures were scored for cells exhibiting strong green fluorescence, corresponding to the miRNA constructs, and fading red fluorescence of the reporter expression of 3′UTR constructs, compared to co-transfection experiments where control vector carrying a scrambled sequence was used. Cells carrying any of the specific miRNAs or the IGF1R 3′UTR construct show either green with total absence of red fluorescence, or vice versa (Fig. 5A). Image analysis of the intensities between miRNA expression plasmids and reporter constructs was performed by scoring cells (n = 1000) showing green fluorescence with reduced red color expression. Our cumulative densitometry measurements were performed by image intensity analysis of cells (n = 100) from different fields (n = 10) from three different experiments; all values were then statistically analyzed for levels of significance (Fig. 5B). In all determinations, control plasmids carried a scrambled sequence; thus equal intensities of green and red fluorescence served as controls. As shown, repression of IGF1R 3′UTR reporter intensity is significant in miRNA over-expressing plasmid co-transfected cells, with 3-fold reduction, but not in controls. A combinatory transfection approach to evaluate a putative additive effect of two or three miRNAs did not result in significantly increased repression compared with single miRNA transfections (Supplemental Fig. S4).

Fig. 5. MiRNA-induced repression of IGF1R 3′UTR in HEK-293 cells.

Fig. 5

(A) HEK-293 cells co-transfected with one of three key mouse miRNAs (miR-470, −669b, or −681) and IGF1R 3UTR reporter, showing that the 3′UTR of IGF1R is repressed by the transfected miRNAs, but not by scrambled control and IGF1R 3′UTR co-transfected cells. This indicates that these miRNAs suppress the target (red fluorescence) protein through the 3′UTR of IGF1R. This effect is absent when a plasmid carrying a scrambled sequence is used (indicated with arrows). (B) A graphical representation of densitometric analysis of color intensity is shown. (*p < 0.01, **p < 0.0001; all histograms represent average ± std. dev.; n = 3, three samples from each of three experiments.)

DISCUSSION

Our results from array screening, followed by qPCR studies and further individual cell localization by in situ hybridization assays, have unveiled the increased expression of three lead miRNAs, miR-470, −681, and −669b in long-lived mutant Ames dwarf mice. Their expressions are in inverse relationship with those of three key genes of the IGF1signaling pathway, IGF1, IGF1R and PI3K, in brain tissues, across all age groups of Ames dwarf mice. Total AKT and FoxO3a, downstream from these three genes, do not share this inverse relationship, but their phosphorylated forms do. Similar inverse relationships between the three miRNAs and IGF1, IGF1R, and PI3K, along with phosphorylated AKT and phosphorylated FoxO3a, are also observed in young GHRKO mouse brain, but not in their wild-type littermates. Functional studies show that the main target for all three miRNAs is IGF1R, which exhibits the greatest reduction by the three miRNAs in transiently transfected cells, but not by two other lead miRNAs, let-7gand miR-501-5p. Cultures with transduced expression of these noncoding RNAs do not respond to IGF1-stimulated induced expression of phosphorylated AKT and FoxO3a. Interestingly, in cultures with transduced expression of miR-681, the total level of AKT is significantly reduced as well; thus low levels of its phosphorylated isoform may be due to the combined effect of this gene’s repression as well as that of IGF1R. Co-transfection with miR-470, −681, or−669b and the IGF1R 3′UTR construct shows that reporter expression is indeed repressed. Therefore, the three miRNAs, miR-470, −681, and −669b, share the same capability to repress the key protein, IGF1R; this is then the pivotal kernel of how growth hormone signaling deficiency acts to reduceIGF1signaling activity.

The fact that all three miRNAs, miR-470, −669b, −681, are capable of repressing IGF1R of the GH signaling pathway may support the notion of an additive effect of the three working together for increased gain of suppression of GH signaling. This proves not to be the case, since our combinatory transfection approach with two or three miRNAs did not result in significantly increased inhibition beyond single miRNA transfection (Supplemental Fig. S2). This suggests that the three miRNAs functionally repress IGF1R independently, since their binding sites are distinct domains, with no overlap. Moreover, the 3′UTR of IGF1R is extremely long; we had to clone it by a unique recombineering approach (Liu et al. 2003) to obtain the full-length clone for the repression study. The tertiary structure of IGF1R messages may give rise to a specific stoichiometric configuration with limited spatial exposure for miRNA binding to distinct binding sites. Thus, the three miRNAs sharing the same target, IGF1R, may simply reflect Nature’s design increasing possible binding opportunities, rather than a synergistic additive effect among the three. In fact this seems to be the case, since there are 14 possible sites in the IGF1R 3′UTR for miR-470 binding; this fact indeed results in the greatest repression, as seen in Supplemental Fig. S2. Finally, until live-image analysis of specific miRNAs binding to their targets is feasible, we are limited in our data interpretation of the temporal factors in miRNAs binding to specific targets.

Taken together, our results here indicate that: 1. Similar inverse relationship patterns are shared between Ames dwarf and GHRKO mouse brain at two months of age, between the three key miRNAs, miR-470, −669b, and −681, and key members of the IGF1 axis; and 2. The common pathway regulating the loss of function of IGF1signaling may be due to growth hormone signaling deficiency, as the GHRKO mice do not have the complication of the loss of two other hormones, prolactin and thyroid-stimulating hormone, seen in Ames dwarf mice. There are other long-lived mutant strains with similar growth hormone signaling deficiency; for example Snell dwarf mice, a closely related mutant to Ames dwarf mice with the pit-1 gene knockdown, exhibit similar longevity. Another example of life span extension via loss of IGF1 function is heterozygous IGF1R knockout mice, whose homozygous littermates exhibit high mortality due to severe growth retardation (Flurkey et al. 2001). With the lead uncovered in this report, we shall be able to address the question of whether the same trio of miRNAs, perhaps along with other key miRNAs, also regulates post-transcriptional repression of the IGF1 signaling axis in some of these other model systems.

The homologue of IGF1R in C. elegans is daf-2, one of the first few genes discovered to be influential in extending the worms’ life span via genetic mutation (Rajah et al. 1997). From worm to mouse, the IGF1 receptor is present in both the central and peripheral nervous systems, accounting for diverse molecular mechanisms underlying various neuronal functions (Rajah et al. 1997). Many cell types are known to produce IGF1; in brain, the source is mainly hippocampal cells and related vasculature (Yamamoto & Murphy 1995; Lopez-Fernandez et al. 1996). Functionally, IGF1supports the development of somatic tissues, but is not necessary for survival. For example, homozygous knockout mice such as IGF1−/− or IGF2−/− mutants are viable, though approximately 40% smaller than wild type littermates (Liu et al. 1993). In contrast, IGF1R is necessary for survival in mice; homozygous IGF1R−/− mice die at birth, and are around 55% smaller than littermates (Liu et al. 1993). Heterozygous IGF1R+/− not only survive to adulthood, but females exhibit extended life span. On the other hand, hyper-activation of the IGF1R signaling pathway in p44+/+ transgenic mice leads to accelerated aging and shortening of the maximum lifespan(Maier et al. 2004). Taken together, IGF1Rexpression levels may be a key to longevity; its absence results in lethality, reduced levels ensure extended life span, while over-activation results in accelerated aging and shorter life span.

The relationship of IGF1 signaling in the central nervous system to cognitive function is complex, and incompletely understood. Although neuro stimulatory and neuroprotective effects of IGF1 are very well documented, profound suppression of circulating IGF1 levels in GH-resistant and GH-deficient mouse mutants does not lead to cognitive deficits. Moreover, these mutants are significantly protected from age-related decline in learning and memory (Kinney et al. 2001a; Kinney et al. 2001b). Maintenance of cognitive function in these long-lived mutants is associated with normal or increased expression of IGF1 in the brain, specifically in the hippocampus (Lupu et al. 2001; Sun et al. 2005a), and increased neurogenesis in the dentate gyrus (Sun et al. 2005b). The apparent discrepancies between some of these reports and the present findings are likely related to methodological differences, including measurements of gene expression in the whole brain vs. dissected hippocampus. More importantly, the regulation of IGF1 receptors may be fundamentally different from the changes in expression of IGF1. Recently, Cohen et al. (Cohen et al. 2009) reported that heterozygous deletion of IGF1R gene in Alzheimer’s model mice protects them from behavioral impairment, neuro inflammation and neuronal loss. The present findings concerning suppression of IGF1Rin the brain of long-lived mutants complement these results.

Although other miRNAs exhibit fold changes greater than 25%, i.e. miR-292-3p, 28%; miR-488, 33%; miR-717, 27%; miR-705, 79%; miR-98, 42%; miR-494, 33%, etc., we selected three miRNAs, miR-470, −681, and −669b for our focus in this study because all three: a) target IGF1R; and b) exhibit up-regulation with age, while the other six do not. Based on our previous observation in caloric restriction and rat liver papers, several miRNAs may regulate a common signaling pathway (Khanna et al. 2011; Li et al. 2011). Reduced miR-34a, −30e and −181a-1* expression together may contribute the gain of neuronal survival in calorie-restricted mice (Khanna et al. 2011). Similarly, the increase of miR-34a, miR-93, etc. may functionally impact the signaling pathway of oxidative defense in old rat liver (Li et al. 2011). Therefore, our selection of these three miRNAs as our focus is based on their shared functional impact on the same gene, IGF1R, rather than the conventional approach of selecting those with the greatest changes. Likewise, even though repression of AKT is observed in miR-681-transduced human fibroblast cultures, it is not shared by the other two miRNAs, miR-470 and −669b. The particular focus on the functional relationship between miR-681 and AKT repression shall be pursued in future experiments, testing whether this single miRNA is dominant among the three miRNAs discussed here, and whether it exerts an additional effect on controlling the IGF signaling pathway.

Our present results suggest the schematic diagram depicted in Fig. 6, showing the miRNA-based molecular pathway in GH deficient signaling seen in both Ames dwarf and GHRKO mouse brain. Our results suggest for the first time a mechanism for the direct suppression of IGF1R by three lead miRNAs, miR-470, −669b, and −681, to regulate a signaling cascade in the loss-of-function operating modality. It remains to be elucidated in future work why and how these three miRNAs are up-regulated in the GH signaling-deficient environment in these two mutant mice. Discovering the transcription factors activating these miRNAs in GH-deficient long-lived mice may provide future leads to express them in wild-type mice, affording a gain of cognitive robustness and health span like that seen in the long-lived mutants, the ultimate dream of longevity study.

Fig. 6. MiRNA-mediated altered overlapping somatotropic signaling in long-lived mice.

Fig. 6

This schematic diagram shows the common miRNA-based regulation in both long-lived mouse models (Ames dwarf and GHRKO mice). It depicts the role of three key miRNAs (miR-470, −669b, and −681) targeting a key gene, IGF1R, of the GH/IGF1 axis, and altering GH signaling, thus contributing to longevity.

Experimental procedures

Animals

Ames dwarf mice and their normal (N) littermates were produced in Dr. Bartke’s laboratory at the Southern Illinois University School of Medicine. GHRKO mice and normal littermate controls were produced in a closed colony derived from animals provided by Dr. J. Kopchick, and maintained at Southern Illinois University. All animals were housed under controlled temperature and light conditions (20–23 °C, 12-hour light and 12-hour dark cycle), and provided ad libitum nutritionally balanced diet (Rodent Laboratory Chow 5001: 23.4% protein, 4.5% fat, 5.8% crude fiber; Lab Diet PMI Feeds, Inc., St Louis, MO). All procedures were approved by the Laboratory Animal Care and Use Committee at Southern Illinois University School of Medicine. Total brain tissue samples were dissected out from Ames dwarf, GHRKO mice and respective normal wild-type littermates of various age groups. Tissue samples were then shipped to University of Louisville on dry ice. All animal tissue-related processing and experiments were conducted in accordance with approved institutional (University of Louisville) biosafety board protocol #05-001.

Antibodies and Western Blotting

Antibodies used are included in Table 1 to list their vendor sources and antigenic specificity. Brain tissues from Ames dwarf, GHRKO mice and respective wild-type littermate controls (2, 24 and 33 months for Ames dwarf mice and 2 months for GHRKO mice, n = 3 each) were homogenized as described previously (Bates et al. 2010). Protein concentration was determined using the Bradford method (Bio-Rad, Hercules, CA). Following electrophoresis and transfer onto membranes, the membranes were incubated overnight at 4 °C with primary antibodies. Blots were developed and analyzed as described in our previous publication (Bates et al. 2010). Antibodies used are included in Table 1 to list their vendor sources and antigenic specificity. Among these antibodies, the most important ones are those to IGF1R, AKT, and FoXO3a. The antibody to IGF1R detects the beta-subunit of this protein, which is the cytoplasmic domain, differing from the α-subunit located outside the plasma membrane for binding with the IGF1 ligand. The antibody (ab8805) to the total pool of AKT was produced to amino acids 466–480, a common domain of human AKT1, AKT2, and AKT3, with 100% similarity to those of Rat, Chicken and Mouse, and detects a 56 kDa band. Phosphorylated AKT (pAKT) was detected by an antibody (ab38449) detecting only phosphorylated AKT with its phosphor-moiety residue at threionine 308, and therefore termed here pAKT (T308). Thus, two antibodies were used to identify the total pool versus the T308 phosphorylated form of AKT. Likewise, antibody ab47409 was used to detect the total pool of FoXO3a, while antibody ab47285 detects this protein’s phosphorylated form, with its phosphor-moiety at the serine 253 amino acid residue. Phosphorylated FoXO3a detected by the latter antibody is termed throughout the text as the S253 isoform of this protein.

Table 1.

Properties and sources of the antibodies used in this study

Name Vendor Catalog # Antigenic Specificity
Rabbit anti-IGF polyclonal antibody ab9572 human & mouse IGF1 of 14 kDa
Rabbit anti-pan-AKT polyclonal antibody ab8805 human & mouse AKT of 56 kDa
Rabbit anti-pAKT polyclonal antibody ab38449 human AKT with phosphor-theronine at amino acid 308 site
Rabbit anti-FoxO3a polyclonal antibody ab47409 human FoxO3a of 70 kDa
Rabbit anti-pFoxO3a polyclonal antibody ab47285 human FoxO3a with phosphor-serine at amino acid 253 site
Rabbit anti-tubulin polyclonal antibody ab4074 human & mouse tubulin of 50 kDa
Mouse anti-β actin monoclonal antibody ab8226 human & mouse β-actin of 42 kDa
Mouse anti-PI3k monoclonal antibody ab86714 human & mouse PI3Kinase of 85 kDa
Rabbit anti-IGF1R polyclonal antibody NB100-81979 human & mouse β-subunit of 95 kDa
*

ab stands for Abcam Inc. Cambridge, MA

**

NB stands for Novus Biologicals, Littleton, CO

Procedures

A detailed experiment procedures were described in the supplemental text, including: a) miRNA microarray profiling; b) mouse tissue samples processing; c) total and small RNA extractions; d) protein extraction; e) qRT-PCR validation; f) miRNA in situ hybridization; g) construction of miRNA over expression plasmid and IGF1R 3′-UTR reporter; h) cell transduction and transfection; i) statistical analysis.

Supplementary Material

Supp Fig Legends

Supplemental text: Detailed experimental procedures were described in the supplemental text.

Supp Fig S1. Supplemental Fig. S1: MiRNA-dependent altered expression of key genes of GH signaling, and repression of IGF1R 3′UTR in HEK-293 cells.

(A) Western blot analysis of mouse miRNA (miR-470, −669b, −681, −501-5p and let-7g) suppression of endogenous expression of GH/IGF axis genes in HEK-293 cells. Three key miRNAs (mmu-miR-470, −669b, and −681) significantly repress IGF1 (14kDa), IGF1R (95 kDa beta subunit), PI3K (85kDa), pAKT(T308) and pFoxO3a(S253), while total pan-AKT (56 kDa) and total FoxO3a (100 kDa) show no significant changes. (B) Graphical representation of densitometric data in the form of a histogram is shown with normalized values. α-tubulin was used as an internal control. (*p < 0.01, **p < 0.0001; all histograms represent average ± std. dev.)

Supp Fig S2. Supplemental Fig. S2: Expression of lead miRNAs in brain of GHRKO mice compared with control littermates, and fold change comparison between GHRKO and Ames dwarf mice at 2 months of age.

(A) A graphical box-plot representation of changes in expression of three key miRNAs in GHRKO, against littermate WT control mouse brain samples. All samples were from 2 month old mice. (B) A graphical comparison of fold changes between Ames Dwarf (D2 and C2 for two month old dwarf and their control) and GHRKO mice versus their wild type control at(2 months old calculated using 2−ΔΔCt. (*p < 0.01, **p < 0.0001; all histograms represent average ± std. dev., n = 3, three samples from each age group of each genotype.)

Supp Fig S3. Supplemental Fig. S3: Transduction of WI-38 cells with lentivirus over expressing miR-470, −669b, −681 and controls.

Green fluorescence is observed in infected WI-38 cells with the same MOI. The SBI empty vector was used as control in these transduction experiments. Uninfected cells at the same population doubling level (PDL)were used as transduction control.

Supp Fig S4. Supplemental Fig. S4: Combinatoric miRNA-induced repression of IGF1R 3′UTR in HEK-293 cells.

(A) HEK-293 cells co-transfected with combinations of three key mouse miRNAs (miR-470, −669b, or −681), two miRNAs(miR-470 and −669b, miR-470 and −681, or miR-470 and −669b)& scrambled control and IGF1R 3′UTR express reduced red fluorescence, showing that the 3′UTR of IGF1R is repressed by the transfected miRNAs, but not by scrambled control and IGF1R 3′UTR-co-transfected cells. The data indicate no cumulative or competitive effects. (B) A graphical representation of densitometric analysis of color intensity is shown. (*p < 0.01, **p < 0.0001; all histograms represent average ± std. dev.; n=3, three samples from each of three experiments.)

Supp Table S1-S3

Table S1: Identification of key miRNAs and their expression in Ames dwarf mice.

Table S2: Fold change values comparing expression of lead miRNAs in Ames dwarf and GHRKO mice with their respective control littermates.

Table S3: Percentage of protein expression compared with whole cell lysate in over-expressed miRNA expression in HEK-293 cells.

Acknowledgments

We thank Mr. Alan N. Bloch for proofreading, and Mr. Vikranth Shetty for statistical analysis services. This work is supported by grants from Kentucky’s Research Challenge Trust Fund “Bucks-for-Brains” program to EW, to AB with grants from the National Institute on Aging AG19899, PO1 AG 031736, to MM from the Polish Ministry of Science and Higher Education N N401 042638 and AG032290, and to JJK from the National Institutes of Health, DK075436, AG019899, and AG031736 as well as from the Department of Defense (W81XWH-08-PCRP-IDA) and the State of Ohio’s Eminent Scholar Program, including a gift from Milton and Lawrence Goll, and from AMVETS.

Footnotes

Authors contributions

A.K., H.S., S.M. and E.W. contributed to the acquisition, analysis and interpretation of the data. S.M and E.W. did the MM chip design. R.L. designed and made all the clones and pseudolentivirus used in the study. N.L. contributed to the Ames dwarf brain in situ hybridization. A.B., J.J.K. and M.M. helped fine-tune the manuscript, and provided animal tissue samples used in the study. J.J.K. generated the transgenic mouse line of GHRKO. A.K., R.L., and E.W. designed the study and wrote the paper.

References

  1. Aleman A, Torres-Aleman I. Circulating insulin-like growth factor I and cognitive function: neuromodulation throughout the lifespan. Prog Neurobiol. 2009;89:256–265. doi: 10.1016/j.pneurobio.2009.07.008. [DOI] [PubMed] [Google Scholar]
  2. Ayyadevara S, Tazearslan C, Bharill P, Alla R, Siegel E, Shmookler Reis RJ. Caenorhabditis elegans PI3K mutants reveal novel genes underlying exceptional stress resistance and lifespan. Aging Cell. 2009;8:706–725. doi: 10.1111/j.1474-9726.2009.00524.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Bartke A. Growth hormone, insulin and aging: the benefits of endocrine defects. Exp Gerontol. 2011;46:108–111. doi: 10.1016/j.exger.2010.08.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bates DJ, Li N, Liang R, Sarojini H, An J, Masternak MM, Bartke A, Wang E. MicroRNA regulation in Ames dwarf mouse livermay contribute to delayed aging. Aging Cell. 2010;9:1–18. doi: 10.1111/j.1474-9726.2009.00529.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Brunet A, Bonni A, Zigmond MJ, Lin MZ, Juo P, Hu LS, Anderson MJ, Arden KC, Blenis J, Greenberg ME. Akt promotes cell survival by phosphorylating and inhibiting a Forkhead transcription factor. Cell. 1999;96:857–868. doi: 10.1016/s0092-8674(00)80595-4. [DOI] [PubMed] [Google Scholar]
  6. Campeau E, Ruhl VE, Rodier F, Smith CL, Rahmberg BL, Fuss JO, Campisi J, Yaswen P, Cooper PK, Kaufman PD. A versatile viral system for expression and depletion of proteins in mammalian cells. PLoS One. 2009;4:e6529. doi: 10.1371/journal.pone.0006529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Cantley LC. The phosphoinositide 3-kinase pathway. Science. 2002;296:1655–1657. doi: 10.1126/science.296.5573.1655. [DOI] [PubMed] [Google Scholar]
  8. Cohen E, Paulsson JF, Blinder P, Burstyn-Cohen T, Du D, Estepa G, Adame A, Pham HM, Holzenberger M, Kelly JW, Masliah E, Dillin A. Reduced IGF-1 signaling delays age-associated proteotoxicity in mice. Cell. 2009;139:1157–1169. doi: 10.1016/j.cell.2009.11.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Coschigano KT, Clemmons D, Bellush LL, Kopchick JJ. Assessment of growth parameters and life span of GHR/BP gene-disrupted mice. Endocrinology. 2000;141:2608–2613. doi: 10.1210/endo.141.7.7586. [DOI] [PubMed] [Google Scholar]
  10. Datsenko KA, Wanner BL. One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proc Natl Acad Sci U S A. 2000;97:6640–6645. doi: 10.1073/pnas.120163297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Dominici FP, Argentino DP, Munoz MC, Miquet JG, Sotelo AI, Turyn D. Influence of the crosstalk between growth hormone and insulin signalling on the modulation of insulin sensitivity. Growth Horm IGF Res. 2005;15:324–336. doi: 10.1016/j.ghir.2005.07.001. [DOI] [PubMed] [Google Scholar]
  12. Dominici FP, Hauck S, Argentino DP, Bartke A, Turyn D. Increased insulin sensitivity and upregulation of insulin receptor, insulin receptor substrate (IRS)-1and IRS-2 in liver of Ames dwarf mice. J Endocrinol. 2002;173:81–94. doi: 10.1677/joe.0.1730081. [DOI] [PubMed] [Google Scholar]
  13. Flurkey K, Papaconstantinou J, Miller RA, Harrison DE. Lifespan extension and delayed immune and collagen aging in mutant mice with defects in growth hormone production. Proc Natl Acad Sci U S A. 2001;98:6736–6741. doi: 10.1073/pnas.111158898. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Gems D, McElwee JJ. Ageing: Microarraying mortality. Nature. 2003;424:259–261. doi: 10.1038/424259a. [DOI] [PubMed] [Google Scholar]
  15. Hauck SJ, Bartke A. Effects of growth hormone on hypothalamic catalase and Cu/Zn superoxide dismutase. Free Radic Biol Med. 2000;28:970–978. doi: 10.1016/s0891-5849(00)00186-6. [DOI] [PubMed] [Google Scholar]
  16. Khanna A, Muthusamy S, Liang R, Sarojini H, Wang E. Gain of survival signaling by down-regulation of three key miRNAs in brain of calorie-restricted mice. Aging (Albany NY) 2011 doi: 10.18632/aging.100276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Kinney BA, Coschigano KT, Kopchick JJ, Steger RW, Bartke A. Evidence that age-induced decline in memory retention is delayed in growth hormone resistant GH-R-KO (Laron) mice. Physiol Behav. 2001a;72:653–660. doi: 10.1016/s0031-9384(01)00423-1. [DOI] [PubMed] [Google Scholar]
  18. Kinney BA, Meliska CJ, Steger RW, Bartke A. Evidence that Ames dwarf mice age differently from their normal siblings in behavioral and learning and memory parameters. Horm Behav. 2001b;39:277–284. doi: 10.1006/hbeh.2001.1654. [DOI] [PubMed] [Google Scholar]
  19. Lanceta J, Prough RA, Liang R, Wang E. MicroRNA group disorganization in aging. Exp Gerontol. 2010;45:269–278. doi: 10.1016/j.exger.2009.12.009. [DOI] [PubMed] [Google Scholar]
  20. Le Roith D, Bondy C, Yakar S, Liu JL, Butler A. The somatomedin hypothesis: 2001. Endocr Rev. 2001;22:53–74. doi: 10.1210/edrv.22.1.0419. [DOI] [PubMed] [Google Scholar]
  21. Li N, Bates DJ, An J, Terry DA, Wang E. Up-regulation of key microRNAs, and inverse down-regulation of their predicted oxidative phosphorylation target genes, during aging in mouse brain. Neurobiol Aging. 2009 doi: 10.1016/j.neurobiolaging.2009.04.020. [DOI] [PubMed] [Google Scholar]
  22. Li N, Muthusamy S, Liang R, Sarojini H, Wang E. Increased expression of miR-34a and miR-93 in rat liver during aging, and their impact on the expression of Mgst1 and Sirt1. Mech Ageing Dev. 2011 doi: 10.1016/j.mad.2010.12.004. [DOI] [PubMed] [Google Scholar]
  23. Liang R, Bates DJ, Wang E. Epigenetic Control of MicroRNA Expression and Aging. Curr Genomics. 2009;10:184–193. doi: 10.2174/138920209788185225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Liu JP, Baker J, Perkins AS, Robertson EJ, Efstratiadis A. Mice carrying null mutations of the genes encoding insulin-like growth factor I (Igf-1) and type 1 IGF receptor (Igf1r) Cell. 1993;75:59–72. [PubMed] [Google Scholar]
  25. Liu P, Jenkins NA, Copeland NG. A highly efficient recombineering-based method for generating conditional knockout mutations. Genome Res. 2003;13:476–484. doi: 10.1101/gr.749203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Lopez-Fernandez J, Sanchez-Franco F, Velasco B, Tolon RM, Pazos F, Cacicedo L. Growth hormone induces somatostatin and insulin-like growth factor I gene expression in the cerebral hemispheres of aging rats. Endocrinology. 1996;137:4384–4391. doi: 10.1210/endo.137.10.8828499. [DOI] [PubMed] [Google Scholar]
  27. Lupu F, Terwilliger JD, Lee K, Segre GV, Efstratiadis A. Roles of growth hormone and insulin-like growth factor 1 in mouse postnatal growth. Dev Biol. 2001;229:141–162. doi: 10.1006/dbio.2000.9975. [DOI] [PubMed] [Google Scholar]
  28. Maes OC, An J, Sarojini H, Wang E. Murine microRNAs implicated in liver functions and aging process. Mech Ageing Dev. 2008;129:534–541. doi: 10.1016/j.mad.2008.05.004. [DOI] [PubMed] [Google Scholar]
  29. Maes OC, Sarojini H, Wang E. Stepwise up-regulation of microRNA expression levels from replicating to reversible and irreversible growth arrest states in WI-38 human fibroblasts. J Cell Physiol. 2009;221:109–119. doi: 10.1002/jcp.21834. [DOI] [PubMed] [Google Scholar]
  30. Maier B, Gluba W, Bernier B, Turner T, Mohammad K, Guise T, Sutherland A, Thorner M, Scrable H. Modulation of mammalian life span by the short isoform of p53. Genes Dev. 2004;18:306–319. doi: 10.1101/gad.1162404. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Martin DE, Hall MN. The expanding TOR signaling network. Curr Opin Cell Biol. 2005;17:158–166. doi: 10.1016/j.ceb.2005.02.008. [DOI] [PubMed] [Google Scholar]
  32. McElwee JJ, Schuster E, Blanc E, Thornton J, Gems D. Erratum to “Diapause-associated metabolic traits reiterated in long-lived daf-2 mutants in the nematode Caenorhabditis elegans” [Mech. Ageing Dev. 2006;127(5):458–472. doi: 10.1016/j.mad.2006.01.006. [DOI] [PubMed] [Google Scholar]; Mech Ageing Dev. 127:922–936. doi: 10.1016/j.mad.2006.10.002. [DOI] [PubMed] [Google Scholar]
  33. Rajah R, Valentinis B, Cohen P. Insulin-like growth factor (IGF)-binding protein-3 induces apoptosis and mediates the effects of transforming growth factor-beta1 on programmed cell death through a p53-and IGF-independent mechanism. J Biol Chem. 1997;272:12181–12188. doi: 10.1074/jbc.272.18.12181. [DOI] [PubMed] [Google Scholar]
  34. Richards JS, Sharma SC, Falender AE, Lo YH. Expression of FKHR, FKHRL1, and AFX genes in the rodent ovary: evidence for regulation by IGF-I, estrogen, and the gonadotropins. Mol Endocrinol. 2002;16:580–599. doi: 10.1210/mend.16.3.0806. [DOI] [PubMed] [Google Scholar]
  35. Rozing MP, Westendorp RG, Frolich M, de Craen AJ, Beekman M, Heijmans BT, Mooijaart SP, Blauw GJ, Slagboom PE, van Heemst D. Human insulin/IGF-1 and familial longevity at middle age. Aging (Albany NY) 2009;1:714–722. doi: 10.18632/aging.100071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Shan ZX, Lin QX, Fu YH, Deng CY, Zhou ZL, Zhu JN, Liu XY, Zhang YY, Li Y, Lin SG, Yu XY. Upregulated expression of miR-1/miR-206 in a rat model of myocardial infarction. Biochem Biophys Res Commun. 2009;381:597–601. doi: 10.1016/j.bbrc.2009.02.097. [DOI] [PubMed] [Google Scholar]
  37. Shmookler Reis RJ, Xu L, Lee H, Chae M, Thaden JJ, Bharill P, Tazearslan C, Siegel E, Alla R, Zimniak P, Ayyadevara S. Modulation of lipid biosynthesis contributes to stress resistance and longevity of C. elegans mutants. Aging (Albany NY) 2011;3:125–147. doi: 10.18632/aging.100275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Sornson MW, Wu W, Dasen JS, Flynn SE, Norman DJ, O’Connell SM, Gukovsky I, Carriere C, Ryan AK, Miller AP, Zuo L, Gleiberman AS, Andersen B, Beamer WG, Rosenfeld MG. Pituitary lineage determination by the Prophet of Pit-1 homeodomain factor defective in Ames dwarfism. Nature. 1996;384:327–333. doi: 10.1038/384327a0. [DOI] [PubMed] [Google Scholar]
  39. Sun LY, Al-Regaiey K, Masternak MM, Wang J, Bartke A. Local expression of GH and IGF-1 in the hippocampus of GH-deficient long-lived mice. Neurobiol Aging. 2005a;26:929–937. doi: 10.1016/j.neurobiolaging.2004.07.010. [DOI] [PubMed] [Google Scholar]
  40. Sun LY, Evans MS, Hsieh J, Panici J, Bartke A. Increased neurogenesis in dentate gyrus of long-lived Ames dwarf mice. Endocrinology. 2005b;146:1138–1144. doi: 10.1210/en.2004-1115. [DOI] [PubMed] [Google Scholar]
  41. Tran H, Brunet A, Griffith EC, Greenberg ME. The many forks in FOXO’s road. Sci STKE. 2003;2003:RE5. doi: 10.1126/stke.2003.172.re5. [DOI] [PubMed] [Google Scholar]
  42. Vivanco I, Sawyers CL. The phosphatidylinositol 3-Kinase AKT pathway in human cancer. Nat Rev Cancer. 2002;2:489–501. doi: 10.1038/nrc839. [DOI] [PubMed] [Google Scholar]
  43. Yamamoto H, Murphy LJ. Enzymatic conversion of IGF-I to des(1–3)IGF-I in rat serum and tissues: a further potential site of growth hormone regulation of IGF-I action. J Endocrinol. 1995;146:141–148. doi: 10.1677/joe.0.1460141. [DOI] [PubMed] [Google Scholar]
  44. Yu XY, Song YH, Geng YJ, Lin QX, Shan ZX, Lin SG, Li Y. Glucose induces apoptosis of cardiomyocytes via microRNA-1 and IGF-1. Biochem Biophys Res Commun. 2008;376:548–552. doi: 10.1016/j.bbrc.2008.09.025. [DOI] [PubMed] [Google Scholar]
  45. Zhou Y, Xu BC, Maheshwari HG, He L, Reed M, Lozykowski M, Okada S, Cataldo L, Coschigamo K, Wagner TE, Baumann G, Kopchick JJ. A mammalian model for Laron syndrome produced by targeted disruption of the mouse growth hormone receptor/binding protein gene (the Laron mouse) Proc Natl Acad Sci U S A. 1997;94:13215–13220. doi: 10.1073/pnas.94.24.13215. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supp Fig Legends

Supplemental text: Detailed experimental procedures were described in the supplemental text.

Supp Fig S1. Supplemental Fig. S1: MiRNA-dependent altered expression of key genes of GH signaling, and repression of IGF1R 3′UTR in HEK-293 cells.

(A) Western blot analysis of mouse miRNA (miR-470, −669b, −681, −501-5p and let-7g) suppression of endogenous expression of GH/IGF axis genes in HEK-293 cells. Three key miRNAs (mmu-miR-470, −669b, and −681) significantly repress IGF1 (14kDa), IGF1R (95 kDa beta subunit), PI3K (85kDa), pAKT(T308) and pFoxO3a(S253), while total pan-AKT (56 kDa) and total FoxO3a (100 kDa) show no significant changes. (B) Graphical representation of densitometric data in the form of a histogram is shown with normalized values. α-tubulin was used as an internal control. (*p < 0.01, **p < 0.0001; all histograms represent average ± std. dev.)

Supp Fig S2. Supplemental Fig. S2: Expression of lead miRNAs in brain of GHRKO mice compared with control littermates, and fold change comparison between GHRKO and Ames dwarf mice at 2 months of age.

(A) A graphical box-plot representation of changes in expression of three key miRNAs in GHRKO, against littermate WT control mouse brain samples. All samples were from 2 month old mice. (B) A graphical comparison of fold changes between Ames Dwarf (D2 and C2 for two month old dwarf and their control) and GHRKO mice versus their wild type control at(2 months old calculated using 2−ΔΔCt. (*p < 0.01, **p < 0.0001; all histograms represent average ± std. dev., n = 3, three samples from each age group of each genotype.)

Supp Fig S3. Supplemental Fig. S3: Transduction of WI-38 cells with lentivirus over expressing miR-470, −669b, −681 and controls.

Green fluorescence is observed in infected WI-38 cells with the same MOI. The SBI empty vector was used as control in these transduction experiments. Uninfected cells at the same population doubling level (PDL)were used as transduction control.

Supp Fig S4. Supplemental Fig. S4: Combinatoric miRNA-induced repression of IGF1R 3′UTR in HEK-293 cells.

(A) HEK-293 cells co-transfected with combinations of three key mouse miRNAs (miR-470, −669b, or −681), two miRNAs(miR-470 and −669b, miR-470 and −681, or miR-470 and −669b)& scrambled control and IGF1R 3′UTR express reduced red fluorescence, showing that the 3′UTR of IGF1R is repressed by the transfected miRNAs, but not by scrambled control and IGF1R 3′UTR-co-transfected cells. The data indicate no cumulative or competitive effects. (B) A graphical representation of densitometric analysis of color intensity is shown. (*p < 0.01, **p < 0.0001; all histograms represent average ± std. dev.; n=3, three samples from each of three experiments.)

Supp Table S1-S3

Table S1: Identification of key miRNAs and their expression in Ames dwarf mice.

Table S2: Fold change values comparing expression of lead miRNAs in Ames dwarf and GHRKO mice with their respective control littermates.

Table S3: Percentage of protein expression compared with whole cell lysate in over-expressed miRNA expression in HEK-293 cells.

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