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Relationship between insulin and Netrin-1/DCC guidance cue pathway regulation in the prefrontal cortex of rodents exposed to prenatal dietary restriction

Published online by Cambridge University Press:  11 July 2023

Aashita Batra Open the ORCID record for Aashita Batra [Opens in a new window] ,
Santiago Cuesta Open the ORCID record for Santiago Cuesta [Opens in a new window] ,
Marcio Bonesso Alves ,
Jose Maria Restrepo Open the ORCID record for Jose Maria Restrepo [Opens in a new window] ,
Michel Giroux ,
Daniela Pereira Laureano ,
Amanda Brondani Mucellini Lovato ,
Patrícia Maidana Miguel ,
Tania Diniz Machado Open the ORCID record for Tania Diniz Machado [Opens in a new window]  and
Roberta Dalle Molle
...Show all authors
Aashita Batra
Affiliation:
Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC, Canada Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
Santiago Cuesta
Affiliation:
Department of Cell Biology and Neuroscience, Rutgers University, New Brunswick, NJ, USA Department of Psychiatry, McGill University, Montreal, QC, Canada
Marcio Bonesso Alves
Affiliation:
Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC, Canada Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada Department of Psychiatry, McGill University, Montreal, QC, Canada
Jose Maria Restrepo
Affiliation:
Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
Michel Giroux
Affiliation:
Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
Daniela Pereira Laureano
Affiliation:
Programa de Pós-Graduação em Saúde da Criança e do Adolescente, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
Amanda Brondani Mucellini Lovato
Affiliation:
Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
Patrícia Maidana Miguel
Affiliation:
Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada Department of Psychiatry, McGill University, Montreal, QC, Canada
Tania Diniz Machado
Affiliation:
Programa de Pós-Graduação em Saúde da Criança e do Adolescente, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
Roberta Dalle Molle
Affiliation:
Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC, Canada Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
Cecilia Flores
Affiliation:
Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada Department of Psychiatry, McGill University, Montreal, QC, Canada Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
Patricia Pelufo Silveira*
Affiliation:
Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC, Canada Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada Department of Psychiatry, McGill University, Montreal, QC, Canada
*
Corresponding author: Patricia Pelufo Silveira; Email: patricia.silveira@mcgill.ca
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Abstract

Fetal restriction (FR) alters insulin sensitivity, but it is unknown how the metabolic profile associated with restriction affects development of the dopamine (DA) system and DA-related behaviors. The Netrin-1/DCC guidance cue system participates in maturation of the mesocorticolimbic DA circuitry. Therefore, our objective was to identify if FR modifies Netrin-1/DCC receptor protein expression in the prefrontal cortex (PFC) at birth and mRNA in adulthood in rodent males. We used cultured HEK293 cells to assess if levels of miR-218, microRNA regulator of DCC, are sensitive to insulin. To assess this, pregnant dams were subjected to a 50% FR diet from gestational day 10 until birth. Medial PFC (mPFC) DCC/Netrin-1 protein expression was measured at P0 at baseline and Dcc/Netrin-1 mRNA levels were quantified in adults 15 min after a saline/insulin injection. miR-218 levels in HEK-293 cells were measured in response to insulin exposure. At P0, Netrin-1 levels are downregulated in FR animals in comparison to controls. In adult rodents, insulin administration results in an increase in Dcc mRNA levels in control but not FR rats. In HEK293 cells, there is a positive correlation between insulin concentration and miR-218 levels. Since miR-218 is a Dcc gene expression regulator and our in vitro results show that insulin regulates miR-218 levels, we suggest that FR-induced changes in insulin sensitivity could be affecting Dcc expression via miR-218, impacting DA system maturation and organization. As fetal adversity is linked to nonadaptive behaviors later in life, this may contribute to early identification of vulnerability to chronic diseases associated with fetal adversity.

Keywords

Prenatal adversityIntrauterine growth restrictionFood restrictionInsulinAxonal guidance cuesMesocorticolimbic dopamine pathway
Type
Original Article
Information
Journal of Developmental Origins of Health and Disease , Volume 14 , Issue 4 , August 2023 , pp. 501 - 507
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Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press in association with International Society for Developmental Origins of Health and Disease

Introduction

Reduced growth in fetal life has been strongly linked to the development of impaired glucose tolerance and type II diabetes, Reference Barker, Hales, Fall, Osmond, Phipps and Clark1 mainly due to altered growth and development of the pancreas. Reference Hales and Barker2 Insulin secretion relative to insulin sensitivity is highly impaired in these individuals throughout their lifetime as a consequence of poor growth before birth. Reference Mericq, Ong and Bazaes3–Reference Nielsen, Haase and Jaksch8 Many models have shown that reduced growth due to poor nutrition increases the risk for adult chronic diseases. One of the most important models being that of caloric restriction Reference Barker, Hales, Fall, Osmond, Phipps and Clark1,Reference Dalle Molle, Laureano and Alves9,Reference Gatford and Simmons10 because it re-capitulates many features seen in intrauterine growth restriction (IUGR) cases in humans such as catch-up growth, Reference Cianfarani, Germani and Branca11 hyperinsulinemia, Reference Hakan, Aydin, Dilli, Zenciroglu and Okumus12 type II diabetes, Reference Simmons, Templeton and Gertz13 and altered behaviors such as increased preference for palatable foods Reference Dalle Molle, Laureano and Alves9 and impulsivity. Reference Silveira, Pokhvisneva and Gaudreau14 Impulsivity includes two dimensions: action and choice. Reference Winstanley, Theobald, Dalley, Cardinal and Robbins15 Impulsive action refers to the inability in the inhibition of response such as responding without thinking Reference van der Laan, Barendse, Viergever and Smeets16 while impulsive choices involve a decision-making process and are expressed by the tendency to prefer immediate gains over long-term ones. Reference Pardey, Kumar, Goodchild and Cornish17,Reference Tedford, Persons and Napier18 Both action and choice impulsivity involve proper function of the mesocorticolimbic dopamine (DA) system. Reference Loos, Pattij and Janssen19

It is yet to be fully established how IUGR-induced changes in insulin alter impulsivity and whether regulators of mesocorticolimbic DA development are involved. Tyrosine hydroxylase (TH) is the rate-limiting enzyme which converts L-tyrosine to L-3,4-dihydroxyphenylalanine, which ultimately turns into DA. Reference Kobayashi and Nagatsu20 In response to sweet food intake, adult fetal growth restricted (FR) animals, meaning offspring of female rodents that were subjected to caloric restriction during pregnancy, show an increase in the expression of TH in the prefrontal cortex (PFC) in comparison to controls (referred to as AdLib in the manuscript as the dams were fed ad libitum diet). Reference Dalle Molle, Laureano and Alves9,Reference Alves, Dalle Molle, Desai, Ross and Silveira21 Since DA in the PFC is involved in attention and impulsivity-related behaviors in rats, increased TH expression in FR animals could be associated to the animals’ reward-associated value of sweet food, as evident by Alves et al. where the mean change in DA signaling in PFC was measured in controls and FR animals in response to standard chow and Froot Loops® consumption. Reference Alves, Laureano and Dalle Molle22 They observed that Froot Loops® consumption caused a blunted increase in DA concentration in FR animals when compared to AdLib animals. Reference Alves, Laureano and Dalle Molle22 Another study showed that FR animals exhibited higher peripheral insulin levels than AdLib animals Reference Laureano, Alves and Miguel23 suggesting that IUGR modifies the modulation of mesolimbic DA neurons by insulin beyond the well-known alteration in peripheral glucose metabolism. Reference Alves, Laureano and Dalle Molle22 In controls, the PFC DA levels in response to Froot Loops® consumption were greater than the levels in response to standard chow, while FR animals did not show a difference in DA levels in response to chow and Froot Loops®. The weakened response to sweet food seen in the PFC of IUGR animals may result from decreased activation of striatal areas, leading to a lower valuation of the reward magnitude and therefore, favoring impulsive choices for immediate small rewards. Reference Alves, Dalle Molle, Desai, Ross and Silveira21 Within the PFC, there seems to be a positive correlation between impulsive choice and expression of D1 receptors Reference Loos, Pattij and Janssen19 since micro-infusion of D1 receptor antagonist in the area increased impulsive choice. Altered expression of D2 receptors, which are found to be increased in the PFC of IUGR animals at 160 d of life, is also linked with impulsive choice. Reference Simon, Beas, Montgomery, Haberman, Bizon and Setlow24 Together, these findings indicate that fetal adversity alters brain sensitivity to insulin and modulates behavioral responses to palatable foods. Reference Alves, Laureano and Dalle Molle22,Reference Laureano, Alves and Miguel23 Additionally, in rodents exposed to IUGR, there is systemic hyperglycemia/hyperinsulinemia Reference Desai, Gayle, Babu and Ross25 and alterations in the expression of genes or proteins associated with DA signaling in the PFC, including TH, pTH, D1, and D2. Reference Dalle Molle, Laureano and Alves9,Reference Alves, Dalle Molle, Desai, Ross and Silveira21,Reference Laureano, Alves and Miguel23,Reference Vucetic, Totoki and Schoch26 These metabolic and neurochemical effects are accompanied by changes in cognitive flexibility, sensitivity to reward, and poor inhibitory control. Reference Dalle Molle, Laureano and Alves9,Reference Alves, Dalle Molle, Desai, Ross and Silveira21,Reference Alves, Laureano and Dalle Molle22,Reference Vucetic, Totoki and Schoch26,Reference da Silva, Borba and de Almeida Lira27 The behavioral and metabolic phenotype observed in animals exposed to FR recapitulates the profile detected in humans born after exposure to prenatal adversity Reference Barbieri, Portella and Silveira28–Reference Mucellini, Miguel and Dalle Molle48 with striking accuracy. In humans, differences in DA function associate with the increased palatable food consumption in IUGR individuals. Reference Silveira, Pokhvisneva and Gaudreau49 Furthermore, Silveira et al. discovered, in two independent cohorts, that catch-up growth, an insulin-dependent process, influences decision-making and inhibitory control specifically in IUGR children tested in tasks that did not involve the choice for food rewards. Reference Silveira, Pokhvisneva and Gaudreau14 Given the involvement of the mesocorticolimbic DA pathway in impulsive behaviors, we are interested in investigating the molecules involved in the maturation of this pathway and characterize the effect of early life adversity in this developmental process by using the FR animal model.

The guidance cue Netrin-1 participates in the developmental organization of neural networks by either attracting or repelling extending axons and dendrites and is highly expressed in terminal fields of mesocorticolimbic DA neurons including the PFC. Reference Manitt, Mimee and Eng50 Responses to Netrin-1 can be modulated by regulating the availability of DCC (deleted in colorectal cancer) and UNC5 (uncoordinated) receptors. DCC receptors in DA axons promote target recognition events in the NAcc, preventing them from continuing to grow to the PFC, Reference Manitt, Labelle-Dumais and Eng51–Reference Liu, Ke and Wang55 and thereby organizing PFC local circuits Reference Manitt, Mimee and Eng50,Reference Manitt, Eng and Pokinko56,Reference Grant, Hoops and Labelle-Dumais57 and inhibitory control in adulthood. Reference Manitt, Eng and Pokinko56,Reference Grant, Hoops and Labelle-Dumais57 DCC receptors are also expressed by PFC local neurons across the lifespan and are involved in susceptibility/resilience to chronic social defeat stress. Reference Torres-Berrío, Lopez and Bagot58 Changes in DCC expression in DA and cortical neurons induced by exposure to drugs of abuse or to stress, respectively, have been shown to be mediated by the microRNA-218 (miR-218). Reference Torres-Berrío, Lopez and Bagot58,Reference Cuesta, Restrepo-Lozano and Silvestrin59 miR-218 can be detected in blood with circulating levels matching its expression in brain. Reference Torres-Berrío, Morgunova, Giroux, Cuesta, Nestler and Flores60,Reference van der Zee, Eijssen and Mews61 Both chronic caloric restriction and chronic high fat diet exposure in adulthood increase the expression of miR-218 in the hypothalamus. Reference Sangiao-Alvarellos, Pena-Bello, Manfredi-Lozano, Tena-Sempere and Cordido62 However, the possible persistent effect of dietary manipulations during fetal development, as well as the effect of differences in insulin sensitivity on the expression of miR-218 and its guidance cue receptor targets in the PFC remain unknown.

Based on these findings, we aimed to investigate if exposure to prenatal dietary restriction alters guidance cue systems known to be intimately involved in DA, PFC, cognitive development, and in vulnerability to chronic stress. Using the FR model of IUGR in male rats, we measured changes in the Netrin-1/DCC guidance cue pathway in the PFC at birth and in adulthood and assessed if alterations in insulin sensitivity and microRNA levels are involved in the process.

Methods

Primiparous Sprague Dawley rats of approximately 70–80 d were maintained in a controlled environment: standard dark/light cycle of 12 h each, ambient temperature of the colony housing and testing rooms was 22 ± 1°C, relative humidity level was approximately 20–50%, cage cleaning once a week, and food and water provided ad libitum. Estrous cycle was determined daily by vaginal smearing and females were time mated. Gestation was confirmed at day 1 by visualizing the presence of sperm cells on the vaginal smear. On gestational day 10, dams were randomly allocated into one of the following dietary groups: control group (AdLib), which received an ad libitum diet of standard laboratory chow (3.1 kcal/g, 24% protein, 18% fat, 58% carbohydrate; Teklad Diets®), or a 50% food restricted group (FR), based on the IUGR model described by Desai et al., Reference Desai, Gayle, Babu and Ross63 which received 50% of the ad libitum-fed dams’ intake (determined by daily quantification of normal intake in a separate cohort of pregnant Sprague Dawley rats). The food restriction occurred from day 10 of pregnancy until the pups were born. The average calories consumption from day 10 to day 22 of pregnancy was 103.4 ± 9.3 kcal/d in AdLib group and 51.7 ± 4.6 kcal/d in FR group. Belkacemi et al. Reference Belkacemi, Jelks, Chen, Ross and Desai64 showed that this IUGR model increases FR dams’ plasma corticosterone levels compared to AdLib dams, mimicking a stressful environment.

Within 24 h of birth, pups from each litter were individually weighed and standardized to a maximum of eight pups per litter, with four females and four males. Cross-fostering was performed, and all litters were adopted by AdLib dams. Only male offspring were used in this study and only one animal per litter was used in each experiment. Tissues were collected in two separate age groups. The first group’s tissue was collected on the day the animals were born. The second group’s pups were weaned on postnatal day (PND) 21, separated into groups of two same-sex (same litter/group) individuals per cage, and kept in a controlled environment as previously described. Except for the cage cleaning once a week, animals were left undisturbed from PND 21 until tissue collection which occurred at approximately PND 100.

Tissue collection

Tissue collection for protein level analysis took place at two different ages: PND 0 and PND 100. For the PND 0 group, the animals were decapitated, the brains were quickly removed and a series of 0.5 mm brain punches from the PFC were dissected from brain coronal sections corresponding to plates 7–9 of the Brain Rat Atlas. Reference Paxinos and Watson65 Tissue was stored at −80°C until further analysis. For the PND 100 group, the animals received either a peripheral saline injection or insulin injection. Fifteen minutes after the injection, the animals were decapitated, the brains were quickly removed, the PFC was dissected through 1.0 mm thick coronal slices with the aid of an atlas, Reference Paxinos and Watson66 and the tissue was stored at −80°C until further analysis.

Western blot

Total protein fractions were isolated using the mirVana™ PARIS RNA and Native Protein Purification Kit Protocol (Cat#AM1556, Thermo Scientific, Toronto, ON, Canada). Briefly, protein samples (20 μg) were separated on a 10% SDS-PAGE and transferred to a PVDF membrane that was incubated overnight at 4°C with antibodies against DCC (1:1000, Cat#554223, BD Pharmingen), Netrin-1 (1:1000, cat# ab126729, Abcam), and alpha-tubulin (1:2000, Cat #2144S, Cell Signaling). We obtained the optical density for each Netrin-1, DCC, and tubulin band, and the fold change was calculated by normalizing to tubulin’s optical density.

Tissue RNA extraction and quantitative real-time PCR

Total RNA and microRNA fraction were isolated from the frozen tissue using the Norgen Biotek Corp. RNA/DNA/Protein Purification Plus Kit (Cat#47700, Norgen Biotek Corp, Thorold, ON, Canada) as per manufacture’s instruction. All RNA samples were determined to have 260/280 and 260/230 values ≥1.8, using the Nanodrop 1000 system (Thermo Scientific, Toronto, ON, Canada). Reverse transcription for Dcc, Netrin-1 (Ntn-1), and Glyceraldehyde-3-phosphatedehydrogenase (GAPDH) mRNA were performed using a High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Foster City, CA) according to manufacturer’s instructions. Real-time PCR, using TaqMan assay (Applied Biosystems, Foster City, CA) was carried out with an Applied Biosystems 7900HT RT PCR system. Data for Dcc and Ntn-1 mRNA expression were analyzed by using the Relative Quantification standard curve method and Gapdh was used as reference gene. In all cases, the real-time PCR was run in technical triplicates.

HEK293 in vitro analysis

HEK293 cells were cultured in 12-well plates with DMEM medium with 10% fetal bovine serum (FBS). Once the cells reached 80% of confluency, they were starved in serum-free medium for 16–18 h. After that period two different treatments were applied: (1) exposure to different concentrations of insulin (50, 100 or 200 nM) or basal medium to measure total micro-RNA levels after 6 h and (2) exposure to 100 mM of insulin or basal medium to measure total micro-RNA levels at different time points (10, 30, 60 or 360 min). In both cases, a control, undisturbed cell culture was kept (UNT). Cell cultures were harvested by trypsinization (0.125 trypsin/1% EDTA in PBS) and homogenized using the miRNeasy Mini Kit (Qiagen, Toronto, ON, Canada). Total RNA and microRNA fraction were isolated according to the manufacturer’s instructions. All RNA samples were determined to have 260/280 and 260/230 values ≥1.8, using the Nanodrop 1000 system (Thermo Fisher Scientific, Toronto, ON, Canada). Reverse transcription for miR-218 was performed using the TaqMan MicroRNA Reverse Transcription Kit and TaqMan probes (Applied Biosystems, QC, Canada). Real-time PCR was run in technical triplicates with an Applied Biosystems QuantStudio RT PCR system (Applied Biosystems, QC, Canada). The small nucleolar RNA (snoRNA) RNU6B was used as an endogenous control of miRNA measures. Expression levels of miR-218 were calculated using the Relative Quantitation standard curve method and normalized by RNU6B. The expression of miR-218 was relativized to UNT group and presented as a fold change.

Statistical analysis

Student’s t-test was used for the Western Blot analysis for PND 0 animal results. All variables were expressed as mean ± standard error of the mean (SEM). One-way ANOVA was used to analyze the Western Blot analysis for PND 100 animal results and the in vitro results from HEK293 cultures followed by Tukey post hoc test when appropriate. Results were considered significant when p ≤ 0.05. Data were analyzed using the RStudio software. Reference Allaire67

Results

PND 0 measures

Protein levels of Netrin-1 and DCC receptors in the PFC were measured in AdLib and FR animals of age PND 0 (AdLib weight = 7.55 ± 0.21, FR weight = 6.84 ± 0.11, Student’s t-test, n = 8/group, t(14) = 3.039; p = 0.009) as shown in Fig. 1. Netrin-1 protein levels were found to be downregulated in the PFC of FR animals when compared to AdLib animals (W(8) = 51; p = 0.0499). DCC protein expression was not significantly different in the PFC of FR animals when compared to AdLib animals (t(14) = −1.25; p = 0.231).

Figure 1. PFC Netrin-1 and DCC expression in PND0 males. Levels of Netrin-1 and DCC receptors in the PFC were measured in AdLib and FR animals of age PND 0. (a) Netrin-1 protein levels were found to be downregulated in the PFC of FR animals when compared to AdLib animals (W(8) = 51; p = 0.0499). (b) DCC protein expression was not significantly different in the PFC of FR animals when compared to AdLib animals (t(14) = −1.25; p = 0.231).

PND 100 measures

Levels of Ntn-1 and Dcc mRNA in the PFC were measured 15 min after an intraperitoneal saline or insulin injection after a 4 h fast (1 IU/kg) in AdLib and FR animals of age PND 100 as shown in Fig. 2. There were no significant differences in Ntn-1 mRNA levels between the four groups: AdLib Saline, AdLib Insulin, FR Saline, and FR Insulin (F(3,33) = 0.066, p = 0.977). There was a significant difference in Dcc levels across the four groups (F(3,33) = 4.407, p = 0.0103). A Tukey post hoc test revealed that there is a significant upregulation of Dcc mRNA in AdLib animals which received the insulin injection when comparing to AdLib animals which were administered a saline injection (p = 0.008). We also found a significant downregulation of Dcc mRNA levels in FR animals which received a saline injection when compared to the AdLib animals treated with insulin (p = 0.032).

Figure 2. PFC Netrin-1 and Dcc mRNA expression in PND 100 males. Levels of Netrin-1 and Dcc in the PFC were measured 15 min after a peripheral saline or insulin injection in AdLib and FR animals. (a) There were no significant differences in Netrin-1 mRNA levels across the four groups: AdLib Saline, AdLib Insulin, FR Saline, and FR Insulin (F(3,33) = 0.066, p = 0.98). (b) There was a significant difference in Dcc mRNA levels over groups (F(3,33) = 4.41, p = 0.0103). There is a significant upregulation of Dcc mRNA in AdLib animals treated with an insulin injection when comparing to AdLib animals administered a saline injection (p = 0.008) and a significant downregulation in Dcc mRNA levels in FR animals treated with the saline injection when compared to the AdLib animals given the insulin injection (p = 0.032).

miR-218 measures in HEK293 cultures

miR-218 expression was measured in response to four different insulin concentrations, as shown in Fig. 3, in addition to the control group (UNT): 0 nM, 50 nM, 100 nM, 200 nM. There was a significant difference in the fold change of miR-218 between the five groups (F(4,10) = 4.394, p = 0.0262). A Tukey post hoc test revealed that there is a significant upregulation in miR-218 in response to 100 nM of insulin (p = 0.018) when comparing to the control group.

Figure 3. Insulin regulates miR-218 expression in a concentration-dependent manner. miR-218 expression was measured in response to four different insulin concentrations in addition to the control group (UNT): 0 nM, 50 nM, 100 nM, 200 nM. There was a significant difference in miR-218 expression across groups (F(4,10) = 4.394, p = 0.0262). miR-218 levels were upregulated at 100 nM of insulin when compared to the control group.

miR-218 expression was measured over a time curve when exposed to 100 nM of insulin, as shown in Fig. 4, at five different time points in addition to the control group (UNT): 0 min, 10 min, 30 min, 60 min, and 360 min. There was a significant difference in miR-218 expression across the six groups (F(5,12) = 27.26, p < 0.001). A Tukey post hoc test revealed that there is a significant upregulation in miR-218 at 10 min (p = 0.004), 30 min (p < 0.001), 60 min (p < 0.001), and 360 min (p < 0.001) when comparing to the control group, upregulation at 10 min (p = 0.022), 30 min (p < 0.001), 60 min (p < 0.001), and 360 min (p < 0.001) when comparing to 0 min, and upregulation at 60 min (p = 0.043) when comparing to 10 min.

Figure 4. Effects of insulin signaling on miR-218 levels over time. Fold change in miR-218 were measured in response to 100 nM of insulin over a time curve at five different time points in addition to the control group (UNT): 0 min, 10 min, 30 min, 60 min, and 360 min. There was a significant difference in miR-218 expression across groups (F(5,12) = 27.26, p < 0.001). miR-218 levels were upregulated at 10 min, 30 min, 60 min, and 360 min in comparison to the control group.

Discussion

The food restriction model that we used in this study was based on the successful IUGR model described by Desai et al. Reference Desai, Gayle, Babu and Ross25 The 50% food restriction protocol is quite stressful to the dams, increasing corticosterone levels at gestational day 20, Reference Belkacemi, Jelks, Chen, Ross and Desai64 and impacting offspring birth weight Reference Alves, Dalle Molle, Desai, Ross and Silveira21–Reference Laureano, Alves and Miguel23,Reference Cunha, Dalle Molle and Portella68 and brain weight at birth. Reference Potiris, Manousopoulou and Zouridis69 This model was established as a useful approach able to mimic many of the adverse outcomes frequently observed in IUGR in humans, including decreased plasma leptin levels, increased food intake, obesity, increased percentage of body fat, insulin resistance, and catch-up growth. Reference Desai, Gayle, Babu and Ross70 More recently, this model has been used to investigate alterations in feeding behavior that in some way influence food choices and consumption. Reference Desai, Gayle, Babu and Ross25 In this context, interesting changes were found in attentional skills, in physical activity, in reward sensitivity (indicated by a decreased conditioning for palatable food in a place preference test), in hedonic responses to sweet food, and in impulsive behavior. Therefore, this model was best suited for our study where we investigated whether environmental insults early in life, modeled through prenatal dietary restriction, affect the Netrin-1/DCC guidance cue system which is known to be involved in DA and PFC maturation and function. Reference Flores54,Reference Cuesta, Restrepo-Lozano and Silvestrin59,Reference Torres-Berrío, Hernandez, Nestler and Flores71,Reference Vosberg, Leyton and Flores72 We showed that Netrin-1 protein levels are downregulated in the PFC of FR animals in comparison to AdLib animals at age PND 0, indicating that prenatal dietary restriction affects developmental guidance cue systems as early as birth. In the matured cortex, at PND 100, we do not see changes in Ntn-1 mRNA transcript expression at baseline (AdLib Saline group and FR Saline group) suggesting that the changes observed at birth do not persist into adulthood. FR does not alter baseline DCC protein expression in the PFC at birth or in mRNA transcript levels in adulthood. However, at PND 100, AdLib animals showed Dcc mRNA upregulation in response to an insulin challenge when compared to AdLib animals who received saline, but this response is absent in FR animals. This lack of regulation of Dcc by insulin in FR rodents is in line with our previous work showing that FR animals have different sensitivity to insulin Reference Laureano, Alves and Miguel23 and suggest that exposure to fetal growth restriction prevents insulin-induced regulation of Dcc expression in the PFC in adulthood. It was vital to test the effects of insulin on the guidance cues involved in the maturation of the DA pathway within the IUGR context because the IUGR model has been shown to affect insulin signaling and sensitivity within the brain. It is important to note that protein levels were measured in PND 0 animals while mRNA levels were measured in PND 100 animals but the positive correlation between mRNA and protein expression levels Reference Guo, Xiao and Lei73 allows us to compare these transcripts between these ages.

The expression of the Netrin-1/DCC system in the mesocorticolimbic DA systems, including the PFC, decreases dramatically from early postnatal life to adulthood. Reference Torres-Berrío, Morgunova, Giroux, Cuesta, Nestler and Flores60,Reference Cuesta, Nouel and Reynolds74,Reference Goldman, Ashour and Magdesian75 This shift in expression levels coincides with the distinct role that Netrin-1 and DCC play across postnatal development – from axonal pathfinding and synaptic pruning/refinement in early postnatal life to synaptic plasticity in adulthood. Reference Torres-Berrío, Hernandez, Nestler and Flores71,Reference Glasgow, Ruthazer and Kennedy76 It is likely that the early changes in Netrin-1 expression observed in FR animals impact the core organization of developing PFC neuronal networks, including DA axonal growth, while the altered insulin-response in DCC receptor expression in adulthood involve reorganization of matured local synaptic connectivity. In the PFC, Netrin-1 has been shown to be highly expressed by pyramidal and GABA interneurons, while DCC receptors are expressed by pyramidal neurons as well as non-DA axons. Reference Manitt, Mimee and Eng50,Reference Goldman, Ashour and Magdesian75 It remains to be determined whether changes in guidance cue expression induced by FR or by insulin administration in adulthood localize to specific PFC neuronal populations and if they are predominately occurring at the pre- or postsynaptic level.

miR-218 levels in the brain have been known to be affected by altered metabolism as shown by Sangiao-Alvarellos et al. Reference Sangiao-Alvarellos, Pena-Bello, Manfredi-Lozano, Tena-Sempere and Cordido62 where caloric restriction and high fat diet in adulthood resulted in an increase in miR-218 expression in the hypothalamus in comparison to the control group. Since miR-218 regulates Dcc mRNA and DCC protein expression, Reference Cuesta, Restrepo-Lozano and Silvestrin59 it could be involved in the effect of prenatal dietary restriction on this guidance cue system. To assess this hypothesis, we did in vitro analysis involving miR-218 in HEK-293 cells. We showed that there is a time-dependent and dose-dependent increase in miR-218 expression in HEK-293 cells. Whether and how insulin-induced regulation of miR-218 may be involved in the changes in DCC expression observed in the PFC in adulthood remains to be established. Indeed, previous studies have shown that miR-218 can stimulate the transcription of certain transcripts Reference Rocchi, Moretti and Lignani77 and cumulative evidence indicates that miRNAs can upregulate genes and protein expression in specific cell types and under particular conditions. Reference Vasudevan, Tong and Steitz78 Since miR-218 is a regulator of Dcc gene expression and our in vitro results show that insulin regulates miR-218 levels, we suggest that FR-induced changes in insulin sensitivity could be affecting Dcc expression via miR-218.

In conclusion, our work explores how insulin mediates the effects of prenatal dietary restriction on the Netrin-1/DCC guidance cue system which is known to be involved in PFC maturation. Previous animal work from our lab has shown that animals exposed to prenatal dietary restriction showed a pronounced aversion to delayed rewards in addition to an increase in PFC D2 levels. Reference Alves, Laureano and Dalle Molle22 Our current findings may partially explain the mechanism involved in this relationship. This guidance cue pathway is affected by prenatal dietary restriction through changes in insulin, as shown by our results, which could ultimately reorganize pre- and postsynaptic networks and impact executive functions in adulthood. As the FR model parallels many of the alterations observed in IUGR in humans, the current findings have the potential to inform future studies to explore these mechanisms in human populations.

Acknowledgments

None.

Financial support

We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC), RGPIN-2018-05063 (PPS) RGPIN-2020-04703 to C.F.; The National Institute on Drug Abuse at the National Institutes of Health (R01DA037911 to C.F.), the Canadian Institutes of Health Research (FRN: 156272 to C.F.). This research was supported by the Fonds de recherche du Québec – Santé (FRQS to AB and PPS), awarded for the project: Les variations de la function de l’insuline modulent l’adversité au début de la vie sur les compartements liés à la dopamine mésocorticolimbique.

Competing interests

None.

Ethical standard

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national guides on the care and use of laboratory animals sprague dawley and have been approved by the institutional committees (Research Ethics Committee of Hospital de Clínicas de Porto Alegre (GPPG/HCPA); McGill University; Douglas Mental Health University Institute AUP DOUG-8018).

Footnotes

Aashita Batra and Santiago Cuesta contributed equally to this article.

References

Barker, DJ, Hales, CN, Fall, C, Osmond, C, Phipps, K, Clark, P. Type 2 (non-insulin-dependent) diabetes mellitus, hypertension and hyperlipidaemia (syndrome X): relation to reduced fetal growth. Diabetologia. 1993; 36(1), 62–67.10.1007/BF00399095CrossRefGoogle ScholarPubMed
Hales, CN, Barker, DJ. Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis. Diabetologia. 1992; 35(7), 595–601.10.1007/BF00400248CrossRefGoogle ScholarPubMed
Mericq, V, Ong, K, Bazaes, R, et al. Longitudinal changes in insulin sensitivity and secretion from birth to age three years in small-and appropriate-for-gestational-age children. Diabetologia. 2005; 48(12), 2609–2614.10.1007/s00125-005-0036-zCrossRefGoogle ScholarPubMed
Jensen, CB, Storgaard, H, Dela, F, Holst, JJ, Madsbad, S, Vaag, AA. Early differential defects of insulin secretion and action in 19-year-old Caucasian men who had low birth weight. Diabetes. 2002; 51(4), 1271–1280.10.2337/diabetes.51.4.1271CrossRefGoogle ScholarPubMed
Gatford, K, Simmons, R, De Blasio, M, Robinson, J, Owens, J. Placental programming of postnatal diabetes and impaired insulin action after IUGR. Placenta. 2010; 31, S60–S65.CrossRefGoogle ScholarPubMed
Yan, J, Yang, H. Gestational diabetes mellitus, programing and epigenetics. J Matern Fetal Neonatal Med. 2014; 27(12), 1266–1269.10.3109/14767058.2013.853733CrossRefGoogle ScholarPubMed
Ruchat, S-M, Hivert, M-F, Bouchard, L. Epigenetic programming of obesity and diabetes by in utero exposure to gestational diabetes mellitus. Nutr Rev. 2013; 71(suppl_1), S88–S94.10.1111/nure.12057CrossRefGoogle ScholarPubMed
Nielsen, JH, Haase, TN, Jaksch, C, et al. Impact of fetal and neonatal environment on beta cell function and development of diabetes. Acta Obstet Gynecol Scand. 2014; 93(11), 1109–1122.10.1111/aogs.12504CrossRefGoogle ScholarPubMed
Dalle Molle, R, Laureano, DP, Alves, MB, et al. Intrauterine growth restriction increases the preference for palatable foods and affects sensitivity to food rewards in male and female adult rats. Brain Res. 2015; 1618, 41–49.CrossRefGoogle ScholarPubMed
Gatford, KL, Simmons, RA. Prenatal programming of insulin secretion in intrauterine growth restriction. Clin Obstet Gynecol. 2013; 56(3), 520–528.10.1097/GRF.0b013e31829e5b29CrossRefGoogle ScholarPubMed
Cianfarani, S, Germani, D, Branca, F. Low birthweight and adult insulin resistance: the “catch-up growth” hypothesis. Arch Dis Child Fetal Neonatal Ed. 1999; 81(1), F71–F73.10.1136/fn.81.1.F71CrossRefGoogle ScholarPubMed
Hakan, N, Aydin, M, Dilli, D, Zenciroglu, A, Okumus, N. Transient hyperinsulinemia may be responsible from electrolyte abnormalities of refeeding syndrome seen in very low birth weight infants with intrauterine growth-restriction. J Perinatol. 2014; 34(3), 247–247.10.1038/jp.2013.181CrossRefGoogle ScholarPubMed
Simmons, RA, Templeton, LJ, Gertz, SJ. Intrauterine growth retardation leads to the development of type 2 diabetes in the rat. Diabetes. 2001; 50(10), 2279–2286.10.2337/diabetes.50.10.2279CrossRefGoogle Scholar
Silveira, PP, Pokhvisneva, I, Gaudreau, H, et al. Birth weight and catch up growth are associated with childhood impulsivity in two independent cohorts. Sci Rep. 2018; 8(1), 1–10.10.1038/s41598-018-31816-5CrossRefGoogle ScholarPubMed
Winstanley, CA, Theobald, DE, Dalley, JW, Cardinal, RN, Robbins, TW. Double dissociation between serotonergic and dopaminergic modulation of medial prefrontal and orbitofrontal cortex during a test of impulsive choice. Cereb Cortex. 2006; 16(1), 106–114.10.1093/cercor/bhi088CrossRefGoogle ScholarPubMed
van der Laan, LN, Barendse, ME, Viergever, MA, Smeets, PA. Subtypes of trait impulsivity differentially correlate with neural responses to food choices. Behav Brain Res. 2016; 296, 442–450.10.1016/j.bbr.2015.09.026CrossRefGoogle ScholarPubMed
Pardey, MC, Kumar, NN, Goodchild, AK, Cornish, JL. Catecholamine receptors differentially mediate impulsive choice in the medial prefrontal and orbitofrontal cortex. J Psychopharmacol. 2013; 27(2), 203–212.10.1177/0269881112465497CrossRefGoogle ScholarPubMed
Tedford, SE, Persons, AL, Napier, TC. Dopaminergic lesions of the dorsolateral striatum in rats increase delay discounting in an impulsive choice task. PloS One. 2015; 10(4), e0122063.10.1371/journal.pone.0122063CrossRefGoogle Scholar
Loos, M, Pattij, T, Janssen, MC, et al. Dopamine receptor D1/D5 gene expression in the medial prefrontal cortex predicts impulsive choice in rats. Cereb Cortex. 2010; 20(5), 1064–1070.10.1093/cercor/bhp167CrossRefGoogle ScholarPubMed
Kobayashi, K, Nagatsu, T. Tyrosine hydroxylase. In Primer on the Autonomic Nervous System, 2012; pp. 45–47. Elsevier, New York.10.1016/B978-0-12-386525-0.00007-XCrossRefGoogle Scholar
Alves, MB, Dalle Molle, R, Desai, M, Ross, MG, Silveira, PP. Increased palatable food intake and response to food cues in intrauterine growth-restricted rats are related to tyrosine hydroxylase content in the orbitofrontal cortex and nucleus accumbens. Behav Brain Res. 2015; 287, 73–81.10.1016/j.bbr.2015.03.019CrossRefGoogle ScholarPubMed
Alves, MB, Laureano, DP, Dalle Molle, R, et al. Intrauterine growth restriction increases impulsive behavior and is associated with altered dopamine transmission in both medial prefrontal and orbitofrontal cortex in female rats. Physiol Behav. 2019; 204, 336–346.10.1016/j.physbeh.2019.03.010CrossRefGoogle ScholarPubMed
Laureano, D, Alves, M, Miguel, P, et al. Intrauterine growth restriction modifies the accumbal dopaminergic response to palatable food intake. Neuroscience. 2019; 400, 184–195.10.1016/j.neuroscience.2018.12.036CrossRefGoogle ScholarPubMed
Simon, NW, Beas, BS, Montgomery, KS, Haberman, RP, Bizon, JL, Setlow, B. Prefrontal cortical-striatal dopamine receptor m RNA expression predicts distinct forms of impulsivity. Eur J Neurosci. 2013; 37(11), 1779–1788.10.1111/ejn.12191CrossRefGoogle Scholar
Desai, M, Gayle, D, Babu, J, Ross, MG. The timing of nutrient restriction during rat pregnancy/lactation alters metabolic syndrome phenotype. Am J Obstet Gynecol. 2007; 196(6), 555.e551–555.e557.10.1016/j.ajog.2006.11.036CrossRefGoogle ScholarPubMed
Vucetic, Z, Totoki, K, Schoch, H, et al. Early life protein restriction alters dopamine circuitry. Neuroscience. 2010; 168(2), 359–370.10.1016/j.neuroscience.2010.04.010CrossRefGoogle ScholarPubMed
da Silva, AAM, Borba, TKF, de Almeida Lira, L, et al. Perinatal undernutrition stimulates seeking food reward. Int J Dev Neurosci. 2013; 31(5), 334–341.10.1016/j.ijdevneu.2013.05.001CrossRefGoogle ScholarPubMed
Barbieri, MA, Portella, AK, Silveira, PP, et al. Severe intrauterine growth restriction is associated with higher spontaneous carbohydrate intake in young women. Pediatr Res. 2009; 65(2), 215–220.CrossRefGoogle ScholarPubMed
Reis, RS, Dalle Molle, R, Machado, TD, et al. Impulsivity-based thrifty eating phenotype and the protective role of n-3 PUFAs intake in adolescents. Transl Psychiatry. 2016; 6(3), e755.CrossRefGoogle ScholarPubMed
Silveira, PP, Agranonik, M, Faras, H, et al. Preliminary evidence for an impulsivity-based thrifty eating phenotype. Pediatr Res. 2012; 71(3), 293–298.10.1038/pr.2011.39CrossRefGoogle ScholarPubMed
Ayres, C, Agranonik, M, Portella, AK, Filion, F, Johnston, CC, Silveira, PP. Intrauterine growth restriction and the fetal programming of the hedonic response to sweet taste in newborn infants. Int J Pediatr. 2012; 2012, 657379.10.1155/2012/657379CrossRefGoogle ScholarPubMed
Silveira, PP. Playing with food: the fetal programming of food preferences. Obesity (Silver Spring). 2014; 22(5), 1210.10.1002/oby.20729CrossRefGoogle ScholarPubMed
Bischoff, AR, Portella, AK, Paquet, C, et al. Low birth weight is associated with increased fat intake in school-aged boys. Br J Nutr. 2018; 119(11), 1295–1302.CrossRefGoogle ScholarPubMed
Silveira, PP, Pokhvisneva, I, Gaudreau, H, et al. Birth weight and catch up growth are associated with childhood impulsivity in two independent cohorts. Sci Rep. 2018; 8(1), 13705.CrossRefGoogle ScholarPubMed
Abstracts of the 4th World Congress on Developmental Origins of Health and Disease (DOHaD), 13-16 September 2006, Educatorium, University of Utrecht, The Netherlands. Early Hum Dev. 2006; 82(8), 493–565.10.1016/j.earlhumdev.2006.06.003CrossRefGoogle Scholar
Fernandes, FS, Portella, AK, Barbieri, MA, et al. Risk factors for sedentary behavior in young adults: similarities in the inequalities. J Dev Orig Health Dis. 2010; 1(4), 255–261.10.1017/S204017441000019XCrossRefGoogle ScholarPubMed
Portella, AK, Kajantie, E, Hovi, P, et al. Effects of in utero conditions on adult feeding preferences. J Dev Orig Health Dis. 2012; 3(3), 140–152.CrossRefGoogle ScholarPubMed
Portella, AK, Silveira, PP. Neurobehavioral determinants of nutritional security in fetal growth-restricted individuals. Ann N Y Acad Sci. 2014; 1331(1), 15–33.CrossRefGoogle ScholarPubMed
Dalle Molle, R, Silveira, PP. Small for gestational age children have specific food preferences. J Pediatr. 2015; 166(6), 1547.10.1016/j.jpeds.2015.01.053CrossRefGoogle ScholarPubMed
Laureano, DP, Molle, RD, Portella, AK, Silveira, PP. Facial expressions in small for gestational age newborns. J Child Neurol. 2016; 31(3), 398–399.10.1177/0883073815592225CrossRefGoogle ScholarPubMed
Agranonik, M, Portella, AK, Hamilton, J, et al. Breastfeeding in the 21st century. Lancet. 2016; 387(10033), 2088–2089.10.1016/S0140-6736(16)30536-0CrossRefGoogle ScholarPubMed
Escobar, RS, O'Donnell, KA, Colalillo, S, et al. Better quality of mother-child interaction at 4 years of age decreases emotional overeating in IUGR girls. Appetite. 2014; 81, 337–342.CrossRefGoogle ScholarPubMed
Reis, RS, Bernardi, JR, Steiner, M, et al. Poor infant inhibitory control predicts food fussiness in childhood - a possible protective role of n-3 PUFAs for vulnerable children. Prostaglandins Leukot Essent Fatty Acids. 2015; 97, 21–25.CrossRefGoogle ScholarPubMed
Dalle Molle, R, Bischoff, AR, Portella, AK, Silveira, PP. The fetal programming of food preferences: current clinical and experimental evidence. J Dev Orig Health Dis. 2015; 7(3), 1–9. DOI: 10.1017/S2040174415007187.Google ScholarPubMed
Portella, AK, Silveira, PP. Parenting: roots of the sweet tooth. Science. 2014; 345(6204), 1571–1572.10.1126/science.345.6204.1571-cCrossRefGoogle ScholarPubMed
Silveira, PP, Portella, AK, Goldani, MZ. Obesity in Latin America: similarity in the inequalities. Lancet. 2005; 366(9484), 451–452.10.1016/S0140-6736(05)67054-7CrossRefGoogle ScholarPubMed
Mucellini, AB, Manfro, GG, Silveira, PP. Tackling obesity: challenges ahead. Lancet. 2015; 386(9995), 1.10.1016/S0140-6736(15)61538-0CrossRefGoogle ScholarPubMed
Mucellini, AB, Miguel, PM, Dalle Molle, R, et al. Diminished insulin sensitivity is associated with altered brain activation to food cues and with risk for obesity - implications for individuals born small for gestational age. Appetite. 2021; 169, 105799. DOI: 10.1016/j.appet.2021.105799.10.1016/j.appet.2021.105799CrossRefGoogle ScholarPubMed
Silveira, PP, Pokhvisneva, I, Gaudreau, H, et al. Fetal growth interacts with multilocus genetic score reflecting dopamine signaling capacity to predict spontaneous sugar intake in children. Appetite. 2018; 120, 596–601.CrossRefGoogle ScholarPubMed
Manitt, C, Mimee, A, Eng, C, et al. The netrin receptor DCC is required in the pubertal organization of mesocortical dopamine circuitry. J Neurosci. 2011; 31(23), 8381–8394.CrossRefGoogle ScholarPubMed
Manitt, C, Labelle-Dumais, C, Eng, C, et al. Peri-pubertal emergence of UNC-5 homologue expression by dopamine neurons in rodents. PloS One. 2010; 5(7), e11463.10.1371/journal.pone.0011463CrossRefGoogle ScholarPubMed
Hong, K, Hinck, L, Nishiyama, M, Poo, M-M, Tessier-Lavigne, M, Stein, E. A ligand-gated association between cytoplasmic domains of UNC5 and DCC family receptors converts netrin-induced growth cone attraction to repulsion. Cell. 1999; 97(7), 927–941.CrossRefGoogle ScholarPubMed
Keleman, K, Dickson, BJ. Short-and long-range repulsion by the Drosophila Unc5 netrin receptor. Neuron. 2001; 32(4), 605–617.10.1016/S0896-6273(01)00505-0CrossRefGoogle ScholarPubMed
Flores, C. Role of netrin-1 in the organization and function of the mesocorticolimbic dopamine system. J Psychiatry Neurosci. 2011; 36(5), 296–310.CrossRefGoogle ScholarPubMed
Liu, C, Ke, X, Wang, Y, et al. The level of netrin-1 is decreased in newly diagnosed type 2 diabetes mellitus patients. BMC Endocr Disord. 2016; 16(1), 33.CrossRefGoogle ScholarPubMed
Manitt, C, Eng, C, Pokinko, M, et al. DCC orchestrates the development of the prefrontal cortex during adolescence and is altered in psychiatric patients. Transl Psychiatry. 2013; 3(12), e338.CrossRefGoogle ScholarPubMed
Grant, A, Hoops, D, Labelle-Dumais, C, et al. Netrin-1 receptor-deficient mice show enhanced mesocortical dopamine transmission and blunted behavioural responses to amphetamine. Eur J Neurosci. 2007; 26(11), 3215–3228.CrossRefGoogle ScholarPubMed
Torres-Berrío, A, Lopez, JP, Bagot, RC, et al. DCC confers susceptibility to depression-like behaviors in humans and mice and is regulated by miR-218. Biol Psychiatry. 2017; 81(4), 306–315.CrossRefGoogle ScholarPubMed
Cuesta, S, Restrepo-Lozano, JM, Silvestrin, S, et al. Non-contingent exposure to amphetamine in adolescence recruits miR-218 to regulate Dcc expression in the VTA. Neuropsychopharmacology. 2018; 43(4), 900–911.10.1038/npp.2017.284CrossRefGoogle ScholarPubMed
Torres-Berrío, A, Morgunova, A, Giroux, M, Cuesta, S, Nestler, EJ, Flores, C. miR-218 in adolescence predicts and mediates vulnerability to stress. Biol Psychiatry. 2021; 89(9), 911–919.10.1016/j.biopsych.2020.10.015CrossRefGoogle ScholarPubMed
van der Zee, YY, Eijssen, LM, Mews, P, et al. Blood miR-144-3p: a novel diagnostic and therapeutic tool for depression. Mol Psychiatry. 2022; 27(11), 4536–4549.CrossRefGoogle ScholarPubMed
Sangiao-Alvarellos, S, Pena-Bello, L, Manfredi-Lozano, M, Tena-Sempere, M, Cordido, F. Perturbation of hypothalamic microRNA expression patterns in male rats after metabolic distress: impact of obesity and conditions of negative energy balance. Endocrinology. 2014; 155(5), 1838–1850.CrossRefGoogle ScholarPubMed
Desai, M, Gayle, D, Babu, J, Ross, MG. Programmed obesity in intrauterine growth-restricted newborns: modulation by newborn nutrition. Am J Physiol. 2005; 288(1), R91–R96.Google ScholarPubMed
Belkacemi, L, Jelks, A, Chen, C-H, Ross, MG, Desai, M. Altered placental development in undernourished rats: role of maternal glucocorticoids. Reprod Biol Endocrinol. 2011; 9(1), 1–11.10.1186/1477-7827-9-105CrossRefGoogle ScholarPubMed
Paxinos, G, Watson, C. The Rat Brain in Stereotaxic Coordinates, 1998. Academic Press, Burlington, MA.Google Scholar
Paxinos, G, Watson, C. The Rat Brain in Stereotaxic Coordinates, 6th ed., 2007. Elsevier Academic Press, San Diego.Google Scholar
Allaire, J. RStudio: Integrated Development Environment for R, 2012. RStudio, Boston, MA.Google Scholar
Cunha, FS, Dalle Molle, R, Portella, AK, et al. Both food restriction and high-fat diet during gestation induce low birth weight and altered physical activity in adult rat offspring: the “Similarities in the Inequalities” model. PLoS One. 2015; 10(3), e0118586.CrossRefGoogle ScholarPubMed
Potiris, A, Manousopoulou, A, Zouridis, A, et al. The effect of prenatal food restriction on brain proteome in appropriately grown and growth restricted male wistar rats. Front Neurosci. 2021; 15, 665354.10.3389/fnins.2021.665354CrossRefGoogle ScholarPubMed
Desai, M, Gayle, D, Babu, J, Ross, MG. Programmed obesity in intrauterine growth-restricted newborns: modulation by newborn nutrition. Am J Physiol Regul Integr Comp Physiol. 2005; 288(1), R91–R96.10.1152/ajpregu.00340.2004CrossRefGoogle ScholarPubMed
Torres-Berrío, A, Hernandez, G, Nestler, EJ, Flores, C. The netrin-1/DCC guidance cue pathway as a molecular target in depression: translational evidence. Biol Psychiatry. 2020; 88(8), 611–624.10.1016/j.biopsych.2020.04.025CrossRefGoogle ScholarPubMed
Vosberg, DE, Leyton, M, Flores, C. The Netrin-1/DCC guidance system: dopamine pathway maturation and psychiatric disorders emerging in adolescence. Mol Psychiatry. 2020; 25(2), 297–307.CrossRefGoogle ScholarPubMed
Guo, Y, Xiao, P, Lei, S, et al. How is mRNA expression predictive for protein expression? A correlation study on human circulating monocytes. Acta Biochim Biophys Sin. 2008; 40(5), 426–436.CrossRefGoogle Scholar
Cuesta, S, Nouel, D, Reynolds, LM, et al. Dopamine axon targeting in the nucleus accumbens in adolescence requires netrin-1. Front Cell Dev Biol. 2020; 8, 487.10.3389/fcell.2020.00487CrossRefGoogle ScholarPubMed
Goldman, JS, Ashour, MA, Magdesian, MH, et al. Netrin-1 promotes excitatory synaptogenesis between cortical neurons by initiating synapse assembly. J Neurosci. 2013; 33(44), 17278–17289.10.1523/JNEUROSCI.1085-13.2013CrossRefGoogle ScholarPubMed
Glasgow, SD, Ruthazer, ES, Kennedy, TE. Guiding synaptic plasticity: novel roles for netrin-1 in synaptic plasticity and memory formation in the adult brain. J Physiol. 2021; 599(2), 493–505.CrossRefGoogle ScholarPubMed
Rocchi, A, Moretti, D, Lignani, G, et al. Neurite-enriched microRNA-218 stimulates translation of the GluA2 subunit and increases excitatory synaptic strength. Mol Neurobiol. 2019; 56(8), 5701–5714.CrossRefGoogle ScholarPubMed
Vasudevan, S, Tong, Y, Steitz, JA. Switching from repression to activation: microRNAs can up-regulate translation. Science. 2007; 318(5858), 1931–1934.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. PFC Netrin-1 and DCC expression in PND0 males. Levels of Netrin-1 and DCC receptors in the PFC were measured in AdLib and FR animals of age PND 0. (a) Netrin-1 protein levels were found to be downregulated in the PFC of FR animals when compared to AdLib animals (W(8) = 51; p = 0.0499). (b) DCC protein expression was not significantly different in the PFC of FR animals when compared to AdLib animals (t(14) = −1.25; p = 0.231).

Figure 1

Figure 2. PFC Netrin-1 and Dcc mRNA expression in PND 100 males. Levels of Netrin-1 and Dcc in the PFC were measured 15 min after a peripheral saline or insulin injection in AdLib and FR animals. (a) There were no significant differences in Netrin-1 mRNA levels across the four groups: AdLib Saline, AdLib Insulin, FR Saline, and FR Insulin (F(3,33) = 0.066, p = 0.98). (b) There was a significant difference in Dcc mRNA levels over groups (F(3,33) = 4.41, p = 0.0103). There is a significant upregulation of Dcc mRNA in AdLib animals treated with an insulin injection when comparing to AdLib animals administered a saline injection (p = 0.008) and a significant downregulation in Dcc mRNA levels in FR animals treated with the saline injection when compared to the AdLib animals given the insulin injection (p = 0.032).

Figure 2

Figure 3. Insulin regulates miR-218 expression in a concentration-dependent manner. miR-218 expression was measured in response to four different insulin concentrations in addition to the control group (UNT): 0 nM, 50 nM, 100 nM, 200 nM. There was a significant difference in miR-218 expression across groups (F(4,10) = 4.394, p = 0.0262). miR-218 levels were upregulated at 100 nM of insulin when compared to the control group.

Figure 3

Figure 4. Effects of insulin signaling on miR-218 levels over time. Fold change in miR-218 were measured in response to 100 nM of insulin over a time curve at five different time points in addition to the control group (UNT): 0 min, 10 min, 30 min, 60 min, and 360 min. There was a significant difference in miR-218 expression across groups (F(5,12) = 27.26, p < 0.001). miR-218 levels were upregulated at 10 min, 30 min, 60 min, and 360 min in comparison to the control group.