Modification of the serotonergic systems and phenotypes by gestational micronutrients

in Journal of Endocrinology
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Vicki Chen Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, Ontario, Canada

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Gia V Shelp Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, Ontario, Canada

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Jacob L Schwartz Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, Ontario, Canada

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Niklas D J Aardema Department of Nutrition, Dietetics and Food Sciences, Utah State University, Logan, Utah, United States

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Madison L Bunnell Department of Nutrition, Dietetics and Food Sciences, Utah State University, Logan, Utah, United States

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Clara E Cho Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, Ontario, Canada

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https://orcid.org/0000-0002-9733-2516

Correspondence should be addressed to C E Cho: claracho@uoguelph.ca
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Micronutrients consumed in excess or imbalanced amounts during pregnancy may increase the risk of metabolic diseases in offspring, but the mechanisms underlying these effects are unknown. Serotonin (5-hydroxytryptamine, 5-HT), a multifunctional indoleamine in the brain and the gut, may have key roles in regulating metabolism. We investigated the effects of gestational micronutrient intakes on the central and peripheral serotonergic systems as modulators of the offspring's metabolic phenotypes. Pregnant Wistar rats were fed an AIN-93G diet with 1-fold recommended vitamins (RV), high 10-fold multivitamins (HV), high 10-fold folic acid with recommended choline (HFolRC), or high 10-fold folic acid with no choline (HFolNC). Male and female offspring were weaned to a high-fat RV diet for 12 weeks. We assessed the central function using the 5-HT2C receptor agonist, 1-(3-chlorophenyl)piperazine (mCPP), and found that male offspring from the HV- or HFolRC-fed dams were less responsive (P < 0.05) whereas female HFolRC offspring were more responsive to mCPP (P < 0.01) at 6 weeks post-weaning. Male and female offspring from the HV and HFolNC groups, and male HFolRC offspring had greater food intake (males P < 0.001; females P < 0.001) and weight gain (males P < 0.0001; females P < 0.0001), elevated colon 5-HT (males P < 0.01; females P < 0.001) and fasting glucose concentrations (males P < 0.01; females P < 0.01), as well as body composition toward obesity (males P < 0.01; females P < 0.01) at 12 weeks post-weaning. Colon 5-HT was correlated with fasting glucose concentrations (males R2=0.78, P < 0.0001; females R2=0.71, P < 0.0001). Overall, the serotonergic systems are sensitive to the composition of gestational micronutrients, with alterations consistent with metabolic disturbances in offspring.

Abstract

Micronutrients consumed in excess or imbalanced amounts during pregnancy may increase the risk of metabolic diseases in offspring, but the mechanisms underlying these effects are unknown. Serotonin (5-hydroxytryptamine, 5-HT), a multifunctional indoleamine in the brain and the gut, may have key roles in regulating metabolism. We investigated the effects of gestational micronutrient intakes on the central and peripheral serotonergic systems as modulators of the offspring's metabolic phenotypes. Pregnant Wistar rats were fed an AIN-93G diet with 1-fold recommended vitamins (RV), high 10-fold multivitamins (HV), high 10-fold folic acid with recommended choline (HFolRC), or high 10-fold folic acid with no choline (HFolNC). Male and female offspring were weaned to a high-fat RV diet for 12 weeks. We assessed the central function using the 5-HT2C receptor agonist, 1-(3-chlorophenyl)piperazine (mCPP), and found that male offspring from the HV- or HFolRC-fed dams were less responsive (P < 0.05) whereas female HFolRC offspring were more responsive to mCPP (P < 0.01) at 6 weeks post-weaning. Male and female offspring from the HV and HFolNC groups, and male HFolRC offspring had greater food intake (males P < 0.001; females P < 0.001) and weight gain (males P < 0.0001; females P < 0.0001), elevated colon 5-HT (males P < 0.01; females P < 0.001) and fasting glucose concentrations (males P < 0.01; females P < 0.01), as well as body composition toward obesity (males P < 0.01; females P < 0.01) at 12 weeks post-weaning. Colon 5-HT was correlated with fasting glucose concentrations (males R2=0.78, P < 0.0001; females R2=0.71, P < 0.0001). Overall, the serotonergic systems are sensitive to the composition of gestational micronutrients, with alterations consistent with metabolic disturbances in offspring.

Introduction

Diets consumed during pregnancy can induce persistent alterations in the regulation of energy balance and influence susceptibility to chronic diseases (McMillen & Robinson 2005). Both over- and under-nutrition are associated with increased risk of obesity, type 2 diabetes, and cardiovascular disease (Martin-Gronert & Ozanne 2006, Taylor & Poston 2007), with extensive past research that has emphasized metabolic consequences of gestational caloric or macronutrient intakes (Armitage et al. 2005, Kind et al. 2006). However, limited attention has been on the role of micronutrient intakes during pregnancy in programming the long-term phenotypes of offspring.

Concurrent with the increased prevalence of metabolic diseases (Chew et al. 2023), there have been increased intakes of vitamins from supplements and fortified foods (Tarasuk & Brassard 2021, Cowan et al. 2023). Studies have revealed high proportions of multivitamin supplement users (Gomez et al. 2015, Dubois et al. 2017), with the majority of pregnant women consuming supplements at levels reaching or exceeding the Recommended Dietary Allowance for several vitamins. Among the vitamins, folic acid has been found in prenatal supplements in an amount equivalent to or higher than the Tolerable Upper Intake Level of 1000 µg folic acid/day (Wilson et al. 2015, Dubois et al. 2017). With high-dose supplements together with discretionary fortification practices (Valerie 2014), maternal folic acid intakes of 2.5-fold to even 10-fold higher than requirement have been reported (Bailey et al. 2019, Moore et al. 2020) and the observation of abnormally high blood folate concentrations (Fayyaz et al. 2014, Plumptre et al. 2015). Concerns have recently been raised about such excess intakes of micronutrients with unknown metabolic ramifications (Lamers et al. 2018, Maruvada et al. 2020).

We have previously shown that high (10-fold, non-toxic) intakes of multivitamins or folic acid alone during pregnancy lead to male offspring with characteristics of the metabolic syndrome later in life and associated changes in the central and peripheral systems involved in energy regulation (Cho et al. 2013a,b ). With emerging evidence indicating that gut microbes have crucial roles in determining health outcomes (Valdes et al. 2018), our recent interest was describing the gut microbiota composition and function across gestational diet and sex of the offspring. Our focus on the consequences of excess folic acid was extended to incorporate the role of choline (a bioactive micronutrient) because both folic acid and choline are known to modulate the gut microbiota (Gurwara et al. 2019) and participate in the inter-dependent biochemical pathways including one-carbon metabolism (Zeisel 2013). Whereas excess folic acid intakes are commonly observed (Bailey et al. 2019, Moore et al. 2020), only small proportions of the population meet the Adequate Intake requirement for choline (Lewis et al. 2014, Wallace & Fulgoni 2016, 2017, Moore et al. 2020), and such imbalances between folic acid and choline may have potential adverse outcomes. We have recently shown that choline acts as a strong modulator of the effects of the high folic acid gestational diet with changes in the gut microbiota composition toward obesity that differed in a sex-dependent manner (Mjaaseth et al. 2021). However, the mechanisms underlying differences in the metabolic phenotypes including body composition and glucose concentrations have not been established.

Serotonin (5-hydroxytryptamine, 5-HT) is an indoleamine signaling molecule that mediates diverse central and peripheral functions including intake regulation (van Galen et al. 2021), mood and behavior (Young & Leyton 2002), vascular tone (Cote et al. 2004), immune system (Baganz & Blakely 2013), and gastrointestinal tract functions (Keszthelyi et al. 2009). It is estimated that over 90% of total body 5-HT is synthesized by enterochromaffin cells of the gastrointestinal mucosa, whereas the remaining pool is produced by serotonergic neurons of the brainstem raphe nuclei, with much smaller amounts made from other peripheral tissues (Gershon & Ross 1966). Central and peripheral pools of 5-HT are functionally distinct as circulating 5-HT does not readily cross the blood–brain barrier (Lexchin et al. 1977). Central 5-HT has been well-known for its role in energy homeostasis with 5-HT signaling in the brain contributing to appetite suppression (Blundell 1984). On the other hand, gut 5-HT has previously been associated with gut motility (Spencer et al. 2011) and intestinal inflammation (Shajib et al. 2017), with limited studies that focused on its contribution to the risk of metabolic disorders including obesity and type 2 diabetes (Yabut et al. 2019). Recent data using pharmacological inhibition and genetic models revealed that the gut microbiota serves as a regulator glucose homeostasis through peripheral 5-HT (Martin et al. 2019), highlighting the importance of gut mechanisms in metabolic pathways. However, it is unknown whether the varied composition of gestational micronutrients disrupts the serotonergic systems impacting metabolic regulation.

As an extension of our previous study, we sought to determine the effects of high or imbalanced intakes of micronutrients during pregnancy on the serotonergic systems of offspring, in relation to their body composition and glucose regulation. Our selection to use the 5-HT2C receptor agonist, 1-(3-chlorophenyl)piperazine (mCPP), was based on our previous work indicating hypothalamic modulation of 5-HT2C receptor expression by folic acid (Cho et al. 2013b ). With an emerging role of peripheral 5-HT as a metabolic regulator, two functionally separate mechanisms in the brain and the gut may exist as determinants of the offspring phenotypes. We hypothesized that long-term consequences in the metabolic health of offspring of dams fed excess or imbalanced intakes of micronutrients arise with central and peripheral serotonergic alterations.

Materials and methods

Animals and diets

This study was part of the larger endeavor that investigated the impact of imbalanced micronutrients on the metabolic health of male and female offspring, whereby the focus of this project was on serotonergic disruptions as a potential mechanism underlying phenotypes of offspring. First-time pregnant Wistar rats (n = 10–12/group) at 2–4 days of pregnancy (Charles River, Wilmington, MA, USA) were singly housed in ventilated plastic cages with bedding in a 12 h light:12 h darkness cycle and were randomized to receive an isocaloric AIN-93G diet (Reeves 1997) containing either the 1-fold recommended amount of vitamins (RV), high multivitamins (HV; 10-fold recommended multivitamins), high folic acid with recommended choline (HFolRC; 10-fold recommended folic acid and 1-fold recommended choline), or high folic acid with no choline (HFolNC; 10-fold recommended folic acid and no choline) (Supplementary Table 1, see section on supplementary materials given at the end of this article; Research Diets, New Brunswick, NJ, USA). The 10-fold dose was based on our previous studies that provided reproducible outcomes of the obesogenic phenotypes and has been confirmed to be non-toxic and non-teratogenic (Cho et al. 2013a,b, Cho et al. 2015). The AIN-93G diet contains 2 mg/kg of folic acid based on optimal growth rate (Reeves et al. 1993) or the equivalent 400 µg/day in women, and 20 mg/kg (10-fold the requirement) is equivalent to 4000 µg/day in women, which is a dose that is commonly observed in the current intake patterns of excess folic acid (Bailey et al. 2019, Moore et al. 2020). The absence of choline in the 10-fold high folic acid gestational diet (HFolNC) was to remove any effect of choline in the background of excess folic acid, and no folate-related neural tube defect pathogenesis has been reported with choline deficiency (Beaudin et al. 2012). At birth, litters were culled to 10 pups per dam. All dams were fed the RV diet during lactation. At weaning, one male and one female pup per dam were randomly selected, singly housed and fed a high-fat (60 kcal% fat, from mostly lard) AIN-93G RV diet (D12451; Research Diets) for 12 weeks, with the diet composition (in g/kg) of 239.5 lard, 123.8 maltodextrin, 200 casein, 68 sucrose, 25 soybean oil, 50 cellulose, 10 vitamin mixture, 35 mineral mixture, 3 l-cystine, and 2.5 choline bitartrate. All rats had ad libitum access to food and water throughout the study. The experimental procedure was approved by the Utah State University Institutional Animal Care and Use Committee (protocol #10113).

Acute food intake response to serotonin receptor agonist

It is widely recognized that administration of mCPP induces acute hypophagia (suppression of food intake) (Vickers et al. 2000) and provides an important tool to assess the functional role of the serotonergic system in feeding behaviors. At 6 weeks post-weaning, male and female offspring received i.p. injections of either mCPP (2.5 mg/kg) or 0.9% saline following a 12-h overnight fast. After the injections, food intake was measured for 1 h. The injections were administered in a counter-balance order with a 72-h washout period in-between.

Long-term food intake and body weight

Food intake and body weight measures were recorded weekly throughout the study period from weaning to 12 weeks post-weaning in male and female offspring. Food intake and body weight changes were calculated as the difference between measures at post-weaning week and weaning.

Fat mass, lean mass, and fat mass:lean mass

At 12 weeks post-weaning, fat mass and lean mass of male and female offspring were scanned using magnetic resonance imaging (MRI) with EchoMRI-700 (EchoMRI, Houston, TX, USA). Body composition was calculated as a ratio of fat mass to lean mass.

Fasting blood glucose concentrations

At weaning and 12 weeks post-weaning, offspring were terminated by rapid decapitation following an overnight fast. Fasting blood glucose concentrations were measured directly from trunk blood using a glucose meter (Precision Xtra, Abbot Laboratories).

Colon 5-HT concentrations

Upon termination at 12 weeks post-weaning, the entire length of the colon from offspring was excised, immediately frozen on dry ice and stored at −80°C until further analyses. A distal section of the emptied colon tissue was weighed and homogenized in PBS buffer (0.9% NaCl) supplemented with 0.1% ascorbic acid at 50 mg/mL. The total protein content of the colon tissue lysates was quantified using a bicinchoninic acid assay kit (Pierce, Cambridge, NJ, USA). Colon 5-HT concentrations were measured using enzyme-linked immunosorbent assay (ELISA) according to the manufacturer’s protocol (SEU39-K01, Eagle Biosciences, Amherst, NH, USA) intended for low concentrated samples including tissue homogenates. Readings from tissue samples were normalized to total protein content.

Statistical analyses

SAS statistical software Version 9.4 (SAS Institute Inc) was used for all data analyses. Normal distribution of datasets was confirmed by testing for normality. A two-way repeated measures analysis of variance (ANOVA) by the PROC MIXED model procedure followed by Tukey’s post hoc test was used to determine the effect of gestational diet, injection and diet × injection interaction on 1-h food intake response. When a diet × injection interaction was significant, food intake differences (expressed as food intake response after mCPP − food intake response after saline) were compared among the diet groups using a one-way ANOVA followed by Tukey’s post hoc test. Food intake and body weight changes from weaning to 12 weeks post-weaning were analyzed using a repeated measures ANOVA by the PROC MIXED procedure with gestational diet and time as the main factors and a diet × time interaction term, followed by Tukey’s post hoc test. To compare the effects of gestational diets on food intake, body weight, fat mass, lean mass, a ratio of fat mass to lean mass, fasting blood glucose concentrations and colon 5-HT concentrations, a one-way ANOVA followed by Tukey’s post hoc test was performed. The four-parameter logistic regression was used to calculate colon 5-HT concentrations from their corresponding optical density. Pearson’s correlation analyses were conducted to determine the association between colon 5-HT and fasting blood glucose concentrations at 12 weeks post-weaning. Food intake response to mCPP and body composition measures had a sample size of n = 8–11/group due to injection failures or technique errors. All results are expressed as mean ± standard error of means (s.e.m.). P ≤ 0.05 was considered to be statistically significant.

Results

Food intake response after mCPP injection

Following an overnight fast, there was an effect of injection (P < 0.0001 in male and female offspring) and gestational diet × injection interaction (P < 0.05 in male offspring; P < 0.01 in female offspring) without an effect of diet alone on 1-h food intake response at 6 weeks post-weaning. In male offspring, there was a diminished response to mCPP in the HV group compared to the control RV group (P < 0.05; Fig. 1A), where the expected food intake suppressive effect was not evident. HFolRC and HFolNC offspring did not differ compared to the RV group in their food intake response after mCPP, but the response in HFolRC offspring also did not differ from that of HV offspring.

Figure 1
Figure 1

Short-term (1-h) food intake response, in grams, after i.p. injections of 0.9% saline and mCPP (2.5 mg/kg) at 6 weeks post-weaning in (A) male and (B) female offspring from Wistar rat dams fed an AIN-93G diet with either RV: 1-fold recommended vitamins; HV: high 10-fold multivitamins; HFolRC: high 10-fold folic acid with recommended choline; or HFolNC: high 10-fold folic acid with no choline; during pregnancy. (A) Gestational diet P = NS, injection P < 0.0001, gestational diet × injection P < 0.05; (B) gestational diet P = not significant, injection P < 0.0001, gestational diet × injection P < 0.01. Differences in food intake responses (mCPP − saline) were compared among the gestational diet groups. abP < 0.05 by one-way ANOVA followed by Tukey’s post-hoc test. NS denotes not significant. Values are mean ± s.e.m..

Citation: Journal of Endocrinology 257, 2; 10.1530/JOE-22-0305

In female offspring, the HV and HFolNC groups did not differ in their food intake response after mCPP compared to the control RV group. Female offspring of HFolRC-fed dams also did not differ in their food intake compared to the RV group but the expected food intake suppressive effect in response to mCPP was greater when compared to those from the HV and HFolNC groups (P < 0.01; Fig. 1B).

Food intake change over 12 weeks post-weaning

In male offspring, the HV, HFolRC, HFolNC groups had ~25% higher average food intake increase over 12 weeks post-weaning compared to the control offspring (gestational diet P < 0.001, time P < 0.0001, gestational diet × time P < 0.05; Fig. 2A), with no differences among HV, HFolRC and HFolNC offspring. Food intake did not differ among the diet groups at weaning (in grams, RV: 13.7 ± 0.5; HV: 13.5 ± 0.8; HFolRC: 14.0 ± 0.8; HFolNC: 12.8 ± 0.3).

Figure 2
Figure 2

Food intake increase, in grams, from 0-12 weeks post-weaning in (A) male and (B) female offspring from Wistar rat dams fed an AIN-93G diet with either RV: 1-fold recommended vitamins; HV: high 10-fold multivitamins; HFolRC: high 10-fold folic acid with recommended choline; or HFolNC: high 10-fold folic acid with no choline; during pregnancy. (A) Gestational diet P < 0.001, time P < 0.0001, gestational diet × time P < 0.05; (B) gestational diet P < 0.001, time P < 0.0001, gestational diet × time P = not significant. ab P < 0.05 by PROC MIXED model repeated measures ANOVA followed by Tukey’s post-hoc test. Values are mean ± s.e.m..

Citation: Journal of Endocrinology 257, 2; 10.1530/JOE-22-0305

In female offspring, the HV and HFolNC groups had ~40% higher average food intake increase over 12 weeks post-weaning compared to the RV group (gestational diet P < 0.001, time P < 0.0001, gestational diet × time P not significant; Fig. 2B). Food intake change was not different between the HFolRC and RV groups nor among the HV, HFolRC, and HFolNC groups. No differences in food intake among the diet groups were observed at weaning (in grams, RV: 12.5 ± 0.4; HV: 12.7 ± 0.8; HFolRC: 11.3 ± 0.6; HFolNC: 12.2 ± 0.3).

Body weight gain over 12 weeks post-weaning

In male offspring, the HV, HFolRC, and HFolNC groups had ~10% higher average weight gain over 12 weeks post-weaning compared to the RV group (diet P < 0.0001, time P < 0.0001, diet × time P < 0.0001; Fig. 3A). HV, HFolRC, and HFolNC did not differ in weight gain over time from each other. No differences in body weight among the diet groups were detected at weaning (in grams, RV: 61.0 ± 1.8; HV: 63.0 ± 1.8; HFolRC: 63.9 ± 1.7; HFolNC: 63.6 ± 2.6).

Figure 3
Figure 3

Body weight gain, in grams, from 0 to 12 weeks post-weaning in (A) male and (B) female offspring from Wistar rat dams fed an AIN-93G diet with either RV: 1-fold recommended vitamins; HV: high 10-fold multivitamins; HFolRC: high 10-fold folic acid with recommended choline; or HFolNC: high 10-fold folic acid with no choline; during pregnancy. (A) diet P < 0.0001, time P < 0.0001, diet × time P < 0.0001; (B) diet P < 0.0001, time P < 0.0001, diet × time P < 0.0001. abP < 0.05 by PROC MIXED model repeated measures ANOVA followed by Tukey’s post-hoc test. Values are mean ± s.e.m.

Citation: Journal of Endocrinology 257, 2; 10.1530/JOE-22-0305

In female offspring, the HV and HFolNC groups had ~12% higher average weight gain over 12 weeks post-weaning compared to the RV group (diet P < 0.0001, time P < 0.0001, diet × time P < 0.0001; Fig. 3B), with no differences between HV and HFolNC. HFolRC females did not differ in weight gain compared to RV females but had ~17% lower body weight gain than HV and HFolNC females. Body weight at weaning did not differ among the diet groups (in grams, RV: 58.5 ± 2.0; HV: 62.5 ± 1.4; HFolRC: 57.0 ± 2.2; HFolNC: 60.5 ± 1.8).

Fat mass, lean mass, and ratio of fat mass to lean mass

In male offspring, fat mass was ~37% higher in the HV and HFolRC groups compared to the RV group at 12 weeks post-weaning (P < 0.05), with HFolNC offspring that did not differ compared to RV, HV, and HFolRC offspring (Fig. 4A). Lean mass was ~12% lower only in the HFolNC group compared to RV offspring (P < 0.0001) with no differences in HV and HFolRC offspring compared to RV offspring (Fig. 4B). Body composition expressed as a ratio of fat mass to lean mass was ~38% higher in HV, HFolRC, and HFolNC offspring compared to RV offspring (P < 0.01; Fig. 4C).

Figure 4
Figure 4

Fat and lean mass, in grams, and fat mass:lean mass ratio at 12 weeks post-weaning, in (A, B, C, respectively) male and (D, E, F, respectively) female offspring from Wistar rat dams fed an AIN-93G diet with either RV: 1-fold recommended vitamins; HV: high 10-fold multivitamins; HFolRC: high 10-fold folic acid with recommended choline; or HFolNC: high 10-fold folic acid with no choline; during pregnancy. ab P < 0.05 by one-way ANOVA followed by Tukey’s post-hoc test. Values are mean ± s.e.m.

Citation: Journal of Endocrinology 257, 2; 10.1530/JOE-22-0305

In female offspring, the HV and HFolNC groups had ~33% higher fat mass (P < 0.001) compared to the RV group, without differences between HFolRC and RV offspring (Fig. 4D). Lean mass did not differ across the diet groups (Fig. 4E), but HFolNC females had ~30% higher ratio of fat mass to lean mass compared to the RV group with differences between HFolRC and HFolNC offspring (P < 0.01; Fig. 4F). A ratio of fat mass to lean mass for the HV and HFolRC groups did not differ compared to the RV group.

Fasting blood glucose concentrations

In male offspring, fasting blood glucose was not different among the diet groups at weaning (Fig. 5A), but at 12 weeks post-weaning, ~23% higher levels were observed in HFolNC offspring compared to the RV group (P < 0.01; Fig. 5B). HV and HFolRC offspring did not differ in their fasting blood glucose concentrations compared to the RV group, but they also did not differ compared to HFolNC offspring at 12 weeks post-weaning.

Figure 5
Figure 5

Fasting blood glucose concentrations, in mg/dL, at weaning and 12 weeks post-weaning in (A, B, respectively) male and (C, D, respectively) female offspring from Wistar rat dams fed an AIN-93G diet with either RV: 1-fold recommended vitamins; HV: high 10-fold multivitamins; HFolRC: high 10-fold folic acid with recommended choline; HFolNC: high 10-fold folic acid with no choline; or HFolNC: high 10-fold amount of folic acid with no choline; during pregnancy. abP < 0.05 by one-way ANOVA followed by Tukey’s post-hoc test. Values are mean ± s.e.m.

Citation: Journal of Endocrinology 257, 2; 10.1530/JOE-22-0305

In female offspring, fasting blood glucose concentrations also did not differ among the diet groups at weaning (Fig. 5C), but at 12 weeks post-weaning, the HFolNC group had ~17% higher levels compared to the RV group (P < 0.01; Fig. 5D). The HV and HFolRC groups did not differ compared to the RV group, but HV offspring were not different from the HFolNC offspring whereas HFolRC offspring had ~18% lower fasting blood glucose than HV and HFolNC offspring at 12 weeks post-weaning.

Colon 5-HT concentrations

In male offspring (Fig. 6A), colon 5-HT concentrations were ~80% higher in the HV, HFolRC, and HFolNC groups compared to the RV control at 12 weeks post-weaning (P < 0.01). In female offspring (Fig. 6B), the HV and HFolNC groups had ~85% higher colon 5-HT concentrations compared to the RV group at 12 weeks post-weaning (P < 0.001). HFolRC offspring did not differ from the RV control but had ~48% lower 5-HT concentrations than HV and HFolNC offspring. Colon 5-HT was positively correlated with fasting blood glucose concentrations in male (R2 = 0.78, P < 0.0001; Fig. 7A) and female (R2 = 0.71, P < 0.0001; Fig. 7B) offspring.

Figure 6
Figure 6

Colon 5-HT concentrations, in ng/mg protein, at 12 weeks post-weaning in (A) male and (B) female offspring from Wistar rat dams fed an AIN-93G diet with either RV: 1-fold recommended vitamins; HV: high 10-fold multivitamins; HFolRC: high 10-fold folic acid with recommended choline; or HFolNC: high 10-fold folic acid with no choline; during pregnancy. abP < 0.05 by one-way ANOVA followed by Tukey’s post-hoc test. Values are mean ± s.e.m.

Citation: Journal of Endocrinology 257, 2; 10.1530/JOE-22-0305

Figure 7
Figure 7

Correlation between colon 5-HT and fasting blood glucose concentrations at 12 weeks post-weaning in (A) male and (B) female offspring from Wistar rat dams fed an AIN-93G diet with either RV: 1-fold recommended vitamins; HV: high 10-fold multivitamins; HFolRC: high 10-fold folic acid with recommended choline; or HFolNC: high 10-fold folic acid with no choline during pregnancy. (A) R2 = 0.78, P < 0.0001; (B) R2 = 0.71, P < 0.0001 by Pearson’s correlation analyses.

Citation: Journal of Endocrinology 257, 2; 10.1530/JOE-22-0305

Discussion

Our findings support the hypothesis that excess or imbalanced intakes of micronutrients during pregnancy contribute to alterations of the central and peripheral serotonergic systems, consistent with long-term consequences in the metabolic health of offspring. As 5-HT pools exist in the central and peripheral compartments, we provide compelling evidence that functionally distinct mechanisms may influence metabolic regulation in offspring across diet and sex of the offspring. The central serotonergic effects were evident in the HV and HFolRC groups with disruptions that may explain contrasting phenotypes observed in male vs female offspring from the HFolRC-fed dams. The peripheral serotonergic effects were seen as elevated colon 5-HT levels that matched the obesogenic phenotypes with differences attributed to fat vs lean mass composition. Both male and female offspring from the HFolNC groups displayed high colon 5-HT and fasting blood glucose concentrations with the correlation analyses indicating a strong link between the peripheral serotonergic system and glycemia. These results collectively highlight that the serotonergic pathways are modifiable by gestational nutrition in programming the health trajectory of offspring.

We utilized the 5-HT2C receptor agonist mCPP to assess the central serotonergic function and found acute food intake disruptions that differed by the micronutrient composition in male and female offspring. The expected food intake suppressive response to mCPP was not displayed in male offspring of dams fed the HV or HFolRC diet (with the HV group showing the least responsiveness), suggesting a disruption in the central serotonergic system that may be attributed to folic acid but also other vitamin factors. These results are consistent with the previous study that examined macronutrient selection where protein energy intake was lower in offspring from the control dams but not from HV-fed dams (Szeto et al. 2010). Our observed alterations were consistent with long-term food intake and body weight changes from weaning to 12 weeks post-weaning, body composition and glucose concentrations representative of the obesogenic phenotypes, as well as our previous evidence of unregulated energy balance (Mjaaseth et al. 2021). Male offspring of dams fed a diet devoid of choline but high in folic acid were not different from the RV group in their response to mCPP, even though the obesogenic phenotypes were evident, suggesting that consequences of an imbalance created between folic acid and choline may not contribute to central 5-HT effects. In female offspring, only those from dams fed a diet high in folic acid with the recommended choline content displayed higher responsiveness to mCPP, consistent with their absence of the obesogenic phenotypes in the current study as well as previous reports (Huot et al. 2013, Mjaaseth et al. 2021). Differences in food intake response to mCPP across sex of the offspring, where food intake suppression was less in males whereas it was more in females, may explain their contrasting outcomes of the high folic acid gestational diet.

Our observation focusing on the peripheral serotonergic mechanism was novel in showing elevated colon 5-HT in offspring with metabolic disturbances arising from excess or imbalanced micronutrient gestational diets. Colon 5-HT levels were higher in HV, HFolRC, and HFolNC male offspring consistent with the phenotypes of obesity, and our measures of lean and fat mass provided greater insights into consequences impacted by different diets. Male HV and HFolRC offspring had higher fat mass than the control offspring, whereas HFolNC offspring had a fat mass that did not differ from all other groups but had lower lean mass, which HV, HFolRC, and HFolNC all had higher 5-HT concentrations. Similarly, female offspring of HV- or HFolNC-fed dams also had higher 5-HT concentrations consistent with higher fat mass. Colon 5-HT does not appear to distinguish among the different body composition measures as higher fat mass, higher fat:lean mass ratio or reduced lean mass occurred with elevated 5-HT. Previous data indicate that peripheral 5-HT accelerated adipocyte differentiation (Kinoshita et al. 2010), highlighting its impact on lipid accumulation and metabolism, and provide support that greater peripheral 5-HT is associated with obesity (Crane et al. 2015).

In addition, we showed for the first time that higher colon 5-HT levels from exposure to excess or imbalanced gestational micronutrients occurred concurrently with glucose dysregulation. Male offspring from the HV, HFolRC, and HFolNC groups had higher fasting blood glucose levels, although male HV and HFolRC offspring were not different from the RV or HFolNC group. The strongest effect observed with the HFolNC group may be related to elevated colon 5-HT levels and reduced lean mass, which were distinct from the HV and HFolRC groups that had elevated colon 5-HT levels but also disturbed central serotonergic function and greater fat mass. Thus, body composition toward obesity driven by lower lean mass may influence the relationship between colon 5-HT and hyperglycemia. In female offspring, both the HV and HFolNC groups had higher fasting blood glucose concentrations, although the HV group, similar to males, did not differ from the RV nor HFolNC group. This pattern matched that of fat mass:lean mass ratio, suggesting that both fat and lean mass may be important features associated with glycemia in females. Concentrations of fasting blood glucose and colon 5-HT did not differ between HFolRC and RV females, with more responsiveness to mCPP observed in the HFolRC group, suggesting that folic acid alone in the gestational diet produced distinct effects on the peripheral and central serotonergic systems in female vs male offspring. Higher colon 5-HT levels strongly correlated with fasting blood glucose levels with R2 = 0.78 in male and R2 = 0.71 in female offspring, and our results align with recent findings that emphasize an important role of the gut serotonergic system as a contributor to metabolic disease risk (Young et al. 2015). Overall, these findings raise the possibility that modification of the gut environment involving 5-HT represents a targetable pathway to control host glucose metabolism.

This is the first study to demonstrate that the central and peripheral serotonergic systems are sensitive to the micronutrient composition of the gestational diets with an impact on the metabolic phenotypes of offspring. The supplemental diets of 10-fold reflect a dose that is commonly observed in the western dietary patterns of increased use of vitamin supplements and fortified foods (Bailey et al. 2019, Moore et al. 2020), thus may have potential application to human settings. However, we note several limitations. First, this study used a folic acid supplemental diet without choline, as our intention was to create a maximal difference between the folic acid and choline amounts, but such an imbalance may not typically occur in humans. Second, a causal relationship cannot be established based on our study design as food intake response to mCPP at 6 weeks post-weaning or concentrations of colon 5-HT at 12 weeks post-weaning in relation to food intake, weight gain, body composition, and blood glucose measures do not indicate which changes occurred first. We are aware that dynamics of food intake and body weight exist, including a rate of adaptation that may be an important predictor of energy regulation (Jacquier et al. 2014). Blood glucose concentrations differed at post-weaning, but not at weaning, suggesting that serial measurements across the post-weaning period or intervention studies where the gut microbiota is manipulated in a controlled environment would provide insights into the directionality between 5-HT and phenotypes. Third, we have not identified specific bacterial species responsible for altering colon 5-HT concentrations. Our previous data showed that an imbalance between folic acid and choline led to lower Bifidobacterium, Allobaculum, and Lactobacillus vaginalis toward increased energy harvest (Mjaaseth et al. 2021), but further studies are needed to examine specific gut microbial communities as well as gut-derived factors such as short-chain fatty acids (Reigstad et al. 2015) as molecular targets in linking colon 5-HT and metabolic health. Fourth, we cannot ignore potential maternal influences on the establishment of the gut microbiota and serotonergic functions, as many studies indicate the role of maternal gut microbiota being transferred to offspring as the basis of programming effects (Walker et al. 2017) although other studies distinctly show that diets during pregnancy can independently influence the gut microbiota of offspring (Chu et al. 2016). A comparison of the maternal and offspring gut microbiota and functional outcomes will be investigated in our future work. Lastly, it is important to recognize that 5-HT exists in other peripheral sources including adipose tissues (both white and brown adipose tissues) in controlling energy homeostasis (Oh et al. 2015). Further studies will be required to decipher the relative contributions of various 5-HT sources as well as different 5-HT actions derived from site-specific vs systemic levels, paying close attention to analytical techniques for different sample types, for example, tissue lysates and platelet-free plasma (Brand & Anderson 2011). In addition, as body composition measures varied among the diet groups with differences in colon 5-HT concentrations, comprehensive lipid profiling would enhance mechanistic understanding of serotonergic regulation of metabolism.

In conclusion, the results from this study indicate that the serotonergic systems respond to the composition of vitamins or methyl nutrients in the gestational diet, with alterations consistent with metabolic outcomes in offspring. As 5-HT has central and peripheral pools with distinct effects on energy homeostasis, metabolic differences observed across diet and sex of the offspring may be attributable to perturbations in the serotonergic systems. Broadly, the identification of novel strategies to reduce disease risk would require integration of various cues stemming from the micronutrient composition, gut microbiota and central pathways involving 5-HT and their regulation of overall metabolic functions.

Supplementary materials

This is linked to the online version of the paper at https://doi.org/10.1530/JOE-22-0305.

Declaration of interest

The authors declare no competing financial interests.

Funding

This work was supported by the Utah Agricultural Experiment Station (UTAO+1303), Research Catalyst Program at Utah State University and College of Biological Science Team Building Program at the University of Guelph. VC was supported by the Undergraduate Research Assistantship Program, University of Guelph. CEC holds a Canadian Institutes of Health Research Tier II Canada Research Chair.

Data availability statement

The data that support the findings of this study are available in the methods and/or supplementary material of this article.

Author contribution statement

VC contributed to the study design, data collection and statistical analyses, interpreted the data and prepared the manuscript. GVS, JLS, NDJA and MLB contributed to the study design and data collection. CEC conceptualized the study design and contributed to the statistical analyses, data interpretation and manuscript preparation. All authors read and approved the final manuscript.

Acknowledgements

The authors acknowledge Tithi Jain, Harley Cragun, Keenan Prescott, Jenny Wissenbach, Cady Franson, Jane Chong, Kyler Crosby and short-term undergraduate research students for their assistance with the sample collection.

References

  • Armitage JA, Taylor PD & & Poston L 2005 Experimental models of developmental programming: consequences of exposure to an energy rich diet during development. Journal of Physiology 565 38. (https://doi.org/10.1113/jphysiol.2004.079756)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Baganz NL & & Blakely RD 2013 A dialogue between the immune system and brain, spoken in the language of serotonin. ACS Chemical Neuroscience 4 4863. (https://doi.org/10.1021/cn300186b)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Bailey RL, Pac SG, Fulgoni VL 3rd, Reidy KC & & Catalano PM 2019 Estimation of total usual dietary intakes of pregnant women in the United States. JAMA Network Open 2 e195967. (https://doi.org/10.1001/jamanetworkopen.2019.5967)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Beaudin AE, Abarinov EV, Malysheva O, Perry CA, Caudill M & & Stover PJ 2012 Dietary folate, but not choline, modifies neural tube defect risk in Shmt1 knockout mice. American Journal of Clinical Nutrition 95 109114. (https://doi.org/10.3945/ajcn.111.020305)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Blundell JE 1984 Serotonin and appetite. Neuropharmacology 23 15371551. (https://doi.org/10.1016/0028-3908(8490098-4)

  • Brand T & & Anderson GM 2011 The measurement of platelet-poor plasma serotonin: a systematic review of prior reports and recommendations for improved analysis. Clinical Chemistry 57 13761386. (https://doi.org/10.1373/clinchem.2011.163824)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Chew N, Ng CH, Tan D, Kong G, Lin CX, Chin YH, Foo R, Chan M & & Muthiah M 2023 Global burden of metabolic diseases: data from Global Burden of Disease 2000–2019. A cosortium of metabolic disease. European Heart Journal 44(Supplement 1) ehac779.131. (https://doi.org/10.1093/eurheartj/ehac779.131)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Cho CE, Pannia E, Huot PS, Sanchez-Hernandez D, Kubant R, Dodington DW, Ward WE, Bazinet RP & & Anderson GH 2015 Methyl vitamins contribute to obesogenic effects of a high multivitamin gestational diet and epigenetic alterations in hypothalamic feeding pathways in Wistar rat offspring. Molecular Nutrition and Food Research 59 476489. (https://doi.org/10.1002/mnfr.201400663)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Cho CE, Sanchez-Hernandez D, Reza-Lopez SA, Huot PS, Kim YI & & Anderson GH 2013a Obesogenic phenotype of offspring of dams fed a high multivitamin diet is prevented by a post-weaning high multivitamin or high folate diet. International Journal of Obesity 37 11771182. (https://doi.org/10.1038/ijo.2012.210)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Cho CE, Sanchez-Hernandez D, Reza-Lopez SA, Huot PS, Kim YI & & Anderson GH 2013b High folate gestational and post-weaning diets alter hypothalamic feeding pathways by DNA methylation in Wistar rat offspring. Epigenetics 8 710719. (https://doi.org/10.4161/epi.24948)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Chu DM, Meyer KM, Prince AL & & Aagaard KM 2016 Impact of maternal nutrition in pregnancy and lactation on offspring gut microbial composition and function. Gut Microbes 7 459470. (https://doi.org/10.1080/19490976.2016.1241357)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Cote F, Fligny C, Fromes Y, Mallet J & & Vodjdani G 2004 Recent advances in understanding serotonin regulation of cardiovascular function. Trends in Molecular Medicine 10 232238. (https://doi.org/10.1016/j.molmed.2004.03.007)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Cowan AE, Tooze JA, Gahche JJ, Eicher-Miller HA, Guenther PM, Dwyer JT, Potischman N, Bhadra A, Carroll RJ & & Bailey RL 2023 Trends in overall and micronutrient-containing dietary supplement use in US adults and children, NHANES 2007–2018. Journal of Nutrition 152 27892801. (https://doi.org/10.1093/jn/nxac168)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Crane JD, Palanivel R, Mottillo EP, Bujak AL, Wang H, Ford RJ, Collins A, Blumer RM, Fullerton MD, Yabut JM, et al.2015 Inhibiting peripheral serotonin synthesis reduces obesity and metabolic dysfunction by promoting brown adipose tissue thermogenesis. Nature Medicine 21 166172. (https://doi.org/10.1038/nm.3766)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Dubois L, Diasparra M, Bedard B, Colapinto CK, Fontaine-Bisson B, Morisset AS, Tremblay RE & & Fraser WD 2017 Adequacy of nutritional intake from food and supplements in a cohort of pregnant women in Quebec, Canada: the 3D Cohort Study (Design, Develop, DISCover). American Journal of Clinical Nutrition 106 541548. (https://doi.org/10.3945/ajcn.117.155499)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Fayyaz F, Wang F, Jacobs RL, O'Connor DL, Bell RC, Field CJ & APrON Study Team 2014 Folate, vitamin B12, and vitamin B6 status of a group of high socioeconomic status women in the Alberta Pregnancy Outcomes and Nutrition (APrON) cohort. Applied Physiology, Nutrition and Metabolism 39 14021408. (https://doi.org/10.1139/apnm-2014-0181)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Gershon MD & & Ross LL 1966 Location of sites of 5-hydroxytryptamine storage and metabolism by radioautography. Journal of Physiology 186 477492. (https://doi.org/10.1113/jphysiol.1966.sp008047)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Gomez MF, Field CJ, Olstad DL, Loehr S, Ramage S, McCargar LJ & APrON Study Team 2015 Use of micronutrient supplements among pregnant women in Alberta: results from the Alberta Pregnancy Outcomes and Nutrition (APrON) cohort. Maternal and Child Nutrition 11 497510. (https://doi.org/10.1111/mcn.12038)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Gurwara S, Ajami NJ, Jang A, Hessel FC, Chen L, Plew S, Wang Z, Graham DY, Hair C, White DL, et al.2019 Dietary nutrients involved in one-carbon metabolism and colonic mucosa-associated gut microbiome in individuals with an endoscopically normal colon. Nutrients 11 613. (https://doi.org/10.3390/nu11030613)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Huot PS, Dodington DW, Mollard RC, Reza-Lopez SA, Sanchez-Hernandez D, Cho CE, Kuk J, Ward WE & & Anderson GH 2013 High folic acid intake during pregnancy lowers body weight and reduces femoral area and strength in female rat offspring. Journal of Osteoporosis 2013 154109. (https://doi.org/10.1155/2013/154109)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Jacquier M, Crauste F, Soulage CO & & Soula HA 2014 A predictive model of the dynamics of body weight and food intake in rats submitted to caloric restrictions. PLoS One 9 e100073. (https://doi.org/10.1371/journal.pone.0100073)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Keszthelyi D, Troost FJ & & Masclee AA 2009 Understanding the role of tryptophan and serotonin metabolism in gastrointestinal function. Neurogastroenterology and Motility 21 12391249. (https://doi.org/10.1111/j.1365-2982.2009.01370.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Kind KL, Moore VM & & Davies MJ 2006 Diet around conception and during pregnancy--effects on fetal and neonatal outcomes. Reproductive Biomedicine Online 12 532541. (https://doi.org/10.1016/s1472-6483(1061178-9)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Kinoshita M, Ono K, Horie T, Nagao K, Nishi H, Kuwabara Y, Takanabe-Mori R, Hasegawa K, Kita T & & Kimura T 2010 Regulation of adipocyte differentiation by activation of serotonin (5-HT) receptors 5-HT2AR and 5-HT2CR and involvement of microRNA-448-mediated repression of KLF5. Molecular Endocrinology 24 19781987. (https://doi.org/10.1210/me.2010-0054)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Lamers Y, MacFarlane AJ, O'Connor DL & & Fontaine-Bisson B 2018 Periconceptional intake of folic acid among low-risk women in Canada: summary of a workshop aiming to align prenatal folic acid supplement composition with current expert guidelines. American Journal of Clinical Nutrition 108 13571368. (https://doi.org/10.1093/ajcn/nqy212)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Lewis ED, Subhan FB, Bell RC, McCargar LJ, Curtis JM, Jacobs RL, Field CJ & APrON team 2014 Estimation of choline intake from 24 h dietary intake recalls and contribution of egg and milk consumption to intake among pregnant and lactating women in Alberta. British Journal of Nutrition 112 112121. (https://doi.org/10.1017/S0007114514000555)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Lexchin JL, Cude-Simpson KD & & Stancer HC 1977 Brain and blood indole metabolites after peripheral administration of(14)C-5-HT in rat. Neurochemical Research 2 3950. (https://doi.org/10.1007/BF00966020)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Martin AM, Yabut JM, Choo JM, Page AJ, Sun EW, Jessup CF, Wesselingh SL, Khan WI, Rogers GB, Steinberg GR, et al.2019 The gut microbiome regulates host glucose homeostasis via peripheral serotonin. PNAS 116 1980219804. (https://doi.org/10.1073/pnas.1909311116)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Martin-Gronert MS & & Ozanne SE 2006 Maternal nutrition during pregnancy and health of the offspring. Biochemical Society Transactions 34 779782. (https://doi.org/10.1042/BST0340779)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Maruvada P, Stover PJ, Mason JB, Bailey RL, Davis CD, Field MS, Finnell RH, Garza C, Green R, Gueant JL, et al.2020 Knowledge gaps in understanding the metabolic and clinical effects of excess folates/folic acid: a summary, and perspectives, from an NIH workshop. American Journal of Clinical Nutrition 112 13901403. (https://doi.org/10.1093/ajcn/nqaa259)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • McMillen IC & & Robinson JS 2005 Developmental origins of the metabolic syndrome: prediction, plasticity, and programming. Physiological Reviews 85 571633. (https://doi.org/10.1152/physrev.00053.2003)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Mjaaseth UN, Norris JC, Aardema NDJ, Bunnell ML, Ward RE, Hintze KJ & & Cho CE 2021 Excess vitamins or imbalance of folic acid and choline in the gestational diet alter the gut microbiota and obesogenic effects in Wistar rat offspring. Nutrients 13 4510. (https://doi.org/10.3390/nu13124510)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Moore CJ, Perreault M, Mottola MF & & Atkinson SA 2020 Diet in early pregnancy: focus on folate, vitamin B12, vitamin D, and choline. Canadian Journal of Dietetic Practice and Research 81 5865. (https://doi.org/10.3148/cjdpr-2019-025)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Oh CM, Namkung J, Go Y, Shong KE, Kim K, Kim H, Park BY, Lee HW, Jeon YH, Song J, et al.2015 Regulation of systemic energy homeostasis by serotonin in adipose tissues. Nature Communications 6 6794. (https://doi.org/10.1038/ncomms7794)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Plumptre L, Masih SP, Ly A, Aufreiter S, Sohn KJ, Croxford R, Lausman AY, Berger H, O'Connor DL & & Kim YI 2015 High concentrations of folate and unmetabolized folic acid in a cohort of pregnant Canadian women and umbilical cord blood. American Journal of Clinical Nutrition 102 848857. (https://doi.org/10.3945/ajcn.115.110783)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Reeves PG 1997 Components of the AIN-93 diets as improvements in the AIN-76A diet. Journal of Nutrition 127(Supplement) 838S841S. (https://doi.org/10.1093/jn/127.5.838S)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Reeves PG, Nielsen FH & & Fahey GC Jr 1993 AIN-93 purified diets for laboratory rodents: final report of the American Institute of Nutrition ad hoc writing committee on the reformulation of the AIN-76A rodent diet. Journal of Nutrition 123 19391951. (https://doi.org/10.1093/jn/123.11.1939)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Reigstad CS, Salmonson CE, Rainey JF 3rd, Szurszewski JH, Linden DR, Sonnenburg JL, Farrugia G & & Kashyap PC 2015 Gut microbes promote colonic serotonin production through an effect of short-chain fatty acids on enterochromaffin cells. FASEB Journal 29 13951403. (https://doi.org/10.1096/fj.14-259598)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Shajib MS, Baranov A & & Khan WI 2017 Diverse effects of gut-derived serotonin in intestinal inflammation. ACS Chemical Neuroscience 8 920931. (https://doi.org/10.1021/acschemneuro.6b00414)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Spencer NJ, Nicholas SJ, Robinson L, Kyloh M, Flack N, Brookes SJ, Zagorodnyuk VP & & Keating DJ 2011 Mechanisms underlying distension-evoked peristalsis in guinea pig distal colon: is there a role for enterochromaffin cells? American Journal of Physiology. Gastrointestinal and Liver Physiology 301 G519G527. (https://doi.org/10.1152/ajpgi.00101.2011)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Szeto IM, Payne ME, Jahan-Mihan A, Duan J & & Anderson GH 2010 Multivitamin supplementation during pregnancy alters body weight and macronutrient selection in Wistar rat offspring. Journal of Developmental Origins of Health and Disease 1 386395. (https://doi.org/10.1017/S2040174410000565)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Tarasuk V & & Brassard D 2021 The effect of consuming voluntarily fortified food and beverages on usual nutrient intakes in the Canadian population. Food and Nutrition Research 65 [epub]. (https://doi.org/10.29219/fnr.v65.5256)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Taylor PD & & Poston L 2007 Developmental programming of obesity in mammals. Experimental Physiology 92 287298. (https://doi.org/10.1113/expphysiol.2005.032854)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Valdes AM, Walter J, Segal E & & Spector TD 2018 Role of the gut microbiota in nutrition and health. BMJ 361 k2179. (https://doi.org/10.1136/bmj.k2179)

  • Valerie T 2014 Discretionary fortification--a public health perspective. Nutrients 6 44214433. (https://doi.org/10.3390/nu6104421)

  • van Galen KA, Ter Horst KW & & Serlie MJ 2021 Serotonin, food intake, and obesity. Obesity Reviews 22 e13210. (https://doi.org/10.1111/obr.13210)

  • Vickers SP, Benwell KR, Porter RH, Bickerdike MJ, Kennett GA & & Dourish CT 2000 Comparative effects of continuous infusion of mCPP, Ro 60–0175 and d-fenfluramine on food intake, water intake, body weight and locomotor activity in rats. British Journal of Pharmacology 130 13051314. (https://doi.org/10.1038/sj.bjp.0703443)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Walker RW, Clemente JC, Peter I & & Loos RJF 2017 The prenatal gut microbiome: are we colonized with bacteria in utero? Pediatric Obesity 12(Supplement 1) 317. (https://doi.org/10.1111/ijpo.12217)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Wallace TC & & Fulgoni VL 2017 Usual choline intakes are associated with egg and protein food consumption in the United States. Nutrients 9 839. (https://doi.org/10.3390/nu9080839)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Wallace TC & & Fulgoni VL 3rd 2016 Assessment of total choline intakes in the United States. Journal of the American College of Nutrition 35 108112. (https://doi.org/10.1080/07315724.2015.1080127)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Wilson RD, Audibert F, Brock JA, Carroll J, Cartier L, Gagnon A, Johnson JA, Langlois S, Murphy-Kaulbeck L, Okun N, et al.2015 Pre-conception Folic Acid and Multivitamin Supplementation for the Primary and Secondary Prevention of Neural Tube Defects and Other Folic Acid-Sensitive Congenital Anomalies. Journal of Obstetrics and Gynaecology Canada 37 534552. (https://doi.org/10.1016/S1701-2163(1530230-9)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Yabut JM, Crane JD, Green AE, Keating DJ, Khan WI & & Steinberg GR 2019 Emerging roles for serotonin in regulating metabolism: new implications for an ancient molecule. Endocrine Reviews 40 10921107. (https://doi.org/10.1210/er.2018-00283)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Young RL, Lumsden AL & & Keating DJ 2015 Gut serotonin is a regulator of obesity and metabolism. Gastroenterology 149 253255. (https://doi.org/10.1053/j.gastro.2015.05.020)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Young SN & & Leyton M 2002 The role of serotonin in human mood and social interaction. Insight from altered tryptophan levels. Pharmacology, Biochemistry, and Behavior 71 857865. (https://doi.org/10.1016/s0091-3057(0100670-0)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Zeisel SH 2013 Metabolic crosstalk between choline/1-carbon metabolism and energy homeostasis. Clinical Chemistry and Laboratory Medicine 51 467475. (https://doi.org/10.1515/cclm-2012-0518)

    • PubMed
    • Search Google Scholar
    • Export Citation

 

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  • Figure 1

    Short-term (1-h) food intake response, in grams, after i.p. injections of 0.9% saline and mCPP (2.5 mg/kg) at 6 weeks post-weaning in (A) male and (B) female offspring from Wistar rat dams fed an AIN-93G diet with either RV: 1-fold recommended vitamins; HV: high 10-fold multivitamins; HFolRC: high 10-fold folic acid with recommended choline; or HFolNC: high 10-fold folic acid with no choline; during pregnancy. (A) Gestational diet P = NS, injection P < 0.0001, gestational diet × injection P < 0.05; (B) gestational diet P = not significant, injection P < 0.0001, gestational diet × injection P < 0.01. Differences in food intake responses (mCPP − saline) were compared among the gestational diet groups. abP < 0.05 by one-way ANOVA followed by Tukey’s post-hoc test. NS denotes not significant. Values are mean ± s.e.m..

  • Figure 2

    Food intake increase, in grams, from 0-12 weeks post-weaning in (A) male and (B) female offspring from Wistar rat dams fed an AIN-93G diet with either RV: 1-fold recommended vitamins; HV: high 10-fold multivitamins; HFolRC: high 10-fold folic acid with recommended choline; or HFolNC: high 10-fold folic acid with no choline; during pregnancy. (A) Gestational diet P < 0.001, time P < 0.0001, gestational diet × time P < 0.05; (B) gestational diet P < 0.001, time P < 0.0001, gestational diet × time P = not significant. ab P < 0.05 by PROC MIXED model repeated measures ANOVA followed by Tukey’s post-hoc test. Values are mean ± s.e.m..

  • Figure 3

    Body weight gain, in grams, from 0 to 12 weeks post-weaning in (A) male and (B) female offspring from Wistar rat dams fed an AIN-93G diet with either RV: 1-fold recommended vitamins; HV: high 10-fold multivitamins; HFolRC: high 10-fold folic acid with recommended choline; or HFolNC: high 10-fold folic acid with no choline; during pregnancy. (A) diet P < 0.0001, time P < 0.0001, diet × time P < 0.0001; (B) diet P < 0.0001, time P < 0.0001, diet × time P < 0.0001. abP < 0.05 by PROC MIXED model repeated measures ANOVA followed by Tukey’s post-hoc test. Values are mean ± s.e.m.

  • Figure 4

    Fat and lean mass, in grams, and fat mass:lean mass ratio at 12 weeks post-weaning, in (A, B, C, respectively) male and (D, E, F, respectively) female offspring from Wistar rat dams fed an AIN-93G diet with either RV: 1-fold recommended vitamins; HV: high 10-fold multivitamins; HFolRC: high 10-fold folic acid with recommended choline; or HFolNC: high 10-fold folic acid with no choline; during pregnancy. ab P < 0.05 by one-way ANOVA followed by Tukey’s post-hoc test. Values are mean ± s.e.m.

  • Figure 5

    Fasting blood glucose concentrations, in mg/dL, at weaning and 12 weeks post-weaning in (A, B, respectively) male and (C, D, respectively) female offspring from Wistar rat dams fed an AIN-93G diet with either RV: 1-fold recommended vitamins; HV: high 10-fold multivitamins; HFolRC: high 10-fold folic acid with recommended choline; HFolNC: high 10-fold folic acid with no choline; or HFolNC: high 10-fold amount of folic acid with no choline; during pregnancy. abP < 0.05 by one-way ANOVA followed by Tukey’s post-hoc test. Values are mean ± s.e.m.

  • Figure 6

    Colon 5-HT concentrations, in ng/mg protein, at 12 weeks post-weaning in (A) male and (B) female offspring from Wistar rat dams fed an AIN-93G diet with either RV: 1-fold recommended vitamins; HV: high 10-fold multivitamins; HFolRC: high 10-fold folic acid with recommended choline; or HFolNC: high 10-fold folic acid with no choline; during pregnancy. abP < 0.05 by one-way ANOVA followed by Tukey’s post-hoc test. Values are mean ± s.e.m.

  • Figure 7

    Correlation between colon 5-HT and fasting blood glucose concentrations at 12 weeks post-weaning in (A) male and (B) female offspring from Wistar rat dams fed an AIN-93G diet with either RV: 1-fold recommended vitamins; HV: high 10-fold multivitamins; HFolRC: high 10-fold folic acid with recommended choline; or HFolNC: high 10-fold folic acid with no choline during pregnancy. (A) R2 = 0.78, P < 0.0001; (B) R2 = 0.71, P < 0.0001 by Pearson’s correlation analyses.

  • Armitage JA, Taylor PD & & Poston L 2005 Experimental models of developmental programming: consequences of exposure to an energy rich diet during development. Journal of Physiology 565 38. (https://doi.org/10.1113/jphysiol.2004.079756)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Baganz NL & & Blakely RD 2013 A dialogue between the immune system and brain, spoken in the language of serotonin. ACS Chemical Neuroscience 4 4863. (https://doi.org/10.1021/cn300186b)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Bailey RL, Pac SG, Fulgoni VL 3rd, Reidy KC & & Catalano PM 2019 Estimation of total usual dietary intakes of pregnant women in the United States. JAMA Network Open 2 e195967. (https://doi.org/10.1001/jamanetworkopen.2019.5967)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Beaudin AE, Abarinov EV, Malysheva O, Perry CA, Caudill M & & Stover PJ 2012 Dietary folate, but not choline, modifies neural tube defect risk in Shmt1 knockout mice. American Journal of Clinical Nutrition 95 109114. (https://doi.org/10.3945/ajcn.111.020305)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Blundell JE 1984 Serotonin and appetite. Neuropharmacology 23 15371551. (https://doi.org/10.1016/0028-3908(8490098-4)

  • Brand T & & Anderson GM 2011 The measurement of platelet-poor plasma serotonin: a systematic review of prior reports and recommendations for improved analysis. Clinical Chemistry 57 13761386. (https://doi.org/10.1373/clinchem.2011.163824)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Chew N, Ng CH, Tan D, Kong G, Lin CX, Chin YH, Foo R, Chan M & & Muthiah M 2023 Global burden of metabolic diseases: data from Global Burden of Disease 2000–2019. A cosortium of metabolic disease. European Heart Journal 44(Supplement 1) ehac779.131. (https://doi.org/10.1093/eurheartj/ehac779.131)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Cho CE, Pannia E, Huot PS, Sanchez-Hernandez D, Kubant R, Dodington DW, Ward WE, Bazinet RP & & Anderson GH 2015 Methyl vitamins contribute to obesogenic effects of a high multivitamin gestational diet and epigenetic alterations in hypothalamic feeding pathways in Wistar rat offspring. Molecular Nutrition and Food Research 59 476489. (https://doi.org/10.1002/mnfr.201400663)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Cho CE, Sanchez-Hernandez D, Reza-Lopez SA, Huot PS, Kim YI & & Anderson GH 2013a Obesogenic phenotype of offspring of dams fed a high multivitamin diet is prevented by a post-weaning high multivitamin or high folate diet. International Journal of Obesity 37 11771182. (https://doi.org/10.1038/ijo.2012.210)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Cho CE, Sanchez-Hernandez D, Reza-Lopez SA, Huot PS, Kim YI & & Anderson GH 2013b High folate gestational and post-weaning diets alter hypothalamic feeding pathways by DNA methylation in Wistar rat offspring. Epigenetics 8 710719. (https://doi.org/10.4161/epi.24948)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Chu DM, Meyer KM, Prince AL & & Aagaard KM 2016 Impact of maternal nutrition in pregnancy and lactation on offspring gut microbial composition and function. Gut Microbes 7 459470. (https://doi.org/10.1080/19490976.2016.1241357)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Cote F, Fligny C, Fromes Y, Mallet J & & Vodjdani G 2004 Recent advances in understanding serotonin regulation of cardiovascular function. Trends in Molecular Medicine 10 232238. (https://doi.org/10.1016/j.molmed.2004.03.007)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Cowan AE, Tooze JA, Gahche JJ, Eicher-Miller HA, Guenther PM, Dwyer JT, Potischman N, Bhadra A, Carroll RJ & & Bailey RL 2023 Trends in overall and micronutrient-containing dietary supplement use in US adults and children, NHANES 2007–2018. Journal of Nutrition 152 27892801. (https://doi.org/10.1093/jn/nxac168)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Crane JD, Palanivel R, Mottillo EP, Bujak AL, Wang H, Ford RJ, Collins A, Blumer RM, Fullerton MD, Yabut JM, et al.2015 Inhibiting peripheral serotonin synthesis reduces obesity and metabolic dysfunction by promoting brown adipose tissue thermogenesis. Nature Medicine 21 166172. (https://doi.org/10.1038/nm.3766)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Dubois L, Diasparra M, Bedard B, Colapinto CK, Fontaine-Bisson B, Morisset AS, Tremblay RE & & Fraser WD 2017 Adequacy of nutritional intake from food and supplements in a cohort of pregnant women in Quebec, Canada: the 3D Cohort Study (Design, Develop, DISCover). American Journal of Clinical Nutrition 106 541548. (https://doi.org/10.3945/ajcn.117.155499)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Fayyaz F, Wang F, Jacobs RL, O'Connor DL, Bell RC, Field CJ & APrON Study Team 2014 Folate, vitamin B12, and vitamin B6 status of a group of high socioeconomic status women in the Alberta Pregnancy Outcomes and Nutrition (APrON) cohort. Applied Physiology, Nutrition and Metabolism 39 14021408. (https://doi.org/10.1139/apnm-2014-0181)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Gershon MD & & Ross LL 1966 Location of sites of 5-hydroxytryptamine storage and metabolism by radioautography. Journal of Physiology 186 477492. (https://doi.org/10.1113/jphysiol.1966.sp008047)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Gomez MF, Field CJ, Olstad DL, Loehr S, Ramage S, McCargar LJ & APrON Study Team 2015 Use of micronutrient supplements among pregnant women in Alberta: results from the Alberta Pregnancy Outcomes and Nutrition (APrON) cohort. Maternal and Child Nutrition 11 497510. (https://doi.org/10.1111/mcn.12038)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Gurwara S, Ajami NJ, Jang A, Hessel FC, Chen L, Plew S, Wang Z, Graham DY, Hair C, White DL, et al.2019 Dietary nutrients involved in one-carbon metabolism and colonic mucosa-associated gut microbiome in individuals with an endoscopically normal colon. Nutrients 11 613. (https://doi.org/10.3390/nu11030613)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Huot PS, Dodington DW, Mollard RC, Reza-Lopez SA, Sanchez-Hernandez D, Cho CE, Kuk J, Ward WE & & Anderson GH 2013 High folic acid intake during pregnancy lowers body weight and reduces femoral area and strength in female rat offspring. Journal of Osteoporosis 2013 154109. (https://doi.org/10.1155/2013/154109)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Jacquier M, Crauste F, Soulage CO & & Soula HA 2014 A predictive model of the dynamics of body weight and food intake in rats submitted to caloric restrictions. PLoS One 9 e100073. (https://doi.org/10.1371/journal.pone.0100073)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Keszthelyi D, Troost FJ & & Masclee AA 2009 Understanding the role of tryptophan and serotonin metabolism in gastrointestinal function. Neurogastroenterology and Motility 21 12391249. (https://doi.org/10.1111/j.1365-2982.2009.01370.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Kind KL, Moore VM & & Davies MJ 2006 Diet around conception and during pregnancy--effects on fetal and neonatal outcomes. Reproductive Biomedicine Online 12 532541. (https://doi.org/10.1016/s1472-6483(1061178-9)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Kinoshita M, Ono K, Horie T, Nagao K, Nishi H, Kuwabara Y, Takanabe-Mori R, Hasegawa K, Kita T & & Kimura T 2010 Regulation of adipocyte differentiation by activation of serotonin (5-HT) receptors 5-HT2AR and 5-HT2CR and involvement of microRNA-448-mediated repression of KLF5. Molecular Endocrinology 24 19781987. (https://doi.org/10.1210/me.2010-0054)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Lamers Y, MacFarlane AJ, O'Connor DL & & Fontaine-Bisson B 2018 Periconceptional intake of folic acid among low-risk women in Canada: summary of a workshop aiming to align prenatal folic acid supplement composition with current expert guidelines. American Journal of Clinical Nutrition 108 13571368. (https://doi.org/10.1093/ajcn/nqy212)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Lewis ED, Subhan FB, Bell RC, McCargar LJ, Curtis JM, Jacobs RL, Field CJ & APrON team 2014 Estimation of choline intake from 24 h dietary intake recalls and contribution of egg and milk consumption to intake among pregnant and lactating women in Alberta. British Journal of Nutrition 112 112121. (https://doi.org/10.1017/S0007114514000555)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Lexchin JL, Cude-Simpson KD & & Stancer HC 1977 Brain and blood indole metabolites after peripheral administration of(14)C-5-HT in rat. Neurochemical Research 2 3950. (https://doi.org/10.1007/BF00966020)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Martin AM, Yabut JM, Choo JM, Page AJ, Sun EW, Jessup CF, Wesselingh SL, Khan WI, Rogers GB, Steinberg GR, et al.2019 The gut microbiome regulates host glucose homeostasis via peripheral serotonin. PNAS 116 1980219804. (https://doi.org/10.1073/pnas.1909311116)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Martin-Gronert MS & & Ozanne SE 2006 Maternal nutrition during pregnancy and health of the offspring. Biochemical Society Transactions 34 779782. (https://doi.org/10.1042/BST0340779)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Maruvada P, Stover PJ, Mason JB, Bailey RL, Davis CD, Field MS, Finnell RH, Garza C, Green R, Gueant JL, et al.2020 Knowledge gaps in understanding the metabolic and clinical effects of excess folates/folic acid: a summary, and perspectives, from an NIH workshop. American Journal of Clinical Nutrition 112 13901403. (https://doi.org/10.1093/ajcn/nqaa259)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • McMillen IC & & Robinson JS 2005 Developmental origins of the metabolic syndrome: prediction, plasticity, and programming. Physiological Reviews 85 571633. (https://doi.org/10.1152/physrev.00053.2003)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Mjaaseth UN, Norris JC, Aardema NDJ, Bunnell ML, Ward RE, Hintze KJ & & Cho CE 2021 Excess vitamins or imbalance of folic acid and choline in the gestational diet alter the gut microbiota and obesogenic effects in Wistar rat offspring. Nutrients 13 4510. (https://doi.org/10.3390/nu13124510)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Moore CJ, Perreault M, Mottola MF & & Atkinson SA 2020 Diet in early pregnancy: focus on folate, vitamin B12, vitamin D, and choline. Canadian Journal of Dietetic Practice and Research 81 5865. (https://doi.org/10.3148/cjdpr-2019-025)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Oh CM, Namkung J, Go Y, Shong KE, Kim K, Kim H, Park BY, Lee HW, Jeon YH, Song J, et al.2015 Regulation of systemic energy homeostasis by serotonin in adipose tissues. Nature Communications 6 6794. (https://doi.org/10.1038/ncomms7794)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Plumptre L, Masih SP, Ly A, Aufreiter S, Sohn KJ, Croxford R, Lausman AY, Berger H, O'Connor DL & & Kim YI 2015 High concentrations of folate and unmetabolized folic acid in a cohort of pregnant Canadian women and umbilical cord blood. American Journal of Clinical Nutrition 102 848857. (https://doi.org/10.3945/ajcn.115.110783)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Reeves PG 1997 Components of the AIN-93 diets as improvements in the AIN-76A diet. Journal of Nutrition 127(Supplement) 838S841S. (https://doi.org/10.1093/jn/127.5.838S)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Reeves PG, Nielsen FH & & Fahey GC Jr 1993 AIN-93 purified diets for laboratory rodents: final report of the American Institute of Nutrition ad hoc writing committee on the reformulation of the AIN-76A rodent diet. Journal of Nutrition 123 19391951. (https://doi.org/10.1093/jn/123.11.1939)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Reigstad CS, Salmonson CE, Rainey JF 3rd, Szurszewski JH, Linden DR, Sonnenburg JL, Farrugia G & & Kashyap PC 2015 Gut microbes promote colonic serotonin production through an effect of short-chain fatty acids on enterochromaffin cells. FASEB Journal 29 13951403. (https://doi.org/10.1096/fj.14-259598)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Shajib MS, Baranov A & & Khan WI 2017 Diverse effects of gut-derived serotonin in intestinal inflammation. ACS Chemical Neuroscience 8 920931. (https://doi.org/10.1021/acschemneuro.6b00414)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Spencer NJ, Nicholas SJ, Robinson L, Kyloh M, Flack N, Brookes SJ, Zagorodnyuk VP & & Keating DJ 2011 Mechanisms underlying distension-evoked peristalsis in guinea pig distal colon: is there a role for enterochromaffin cells? American Journal of Physiology. Gastrointestinal and Liver Physiology 301 G519G527. (https://doi.org/10.1152/ajpgi.00101.2011)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Szeto IM, Payne ME, Jahan-Mihan A, Duan J & & Anderson GH 2010 Multivitamin supplementation during pregnancy alters body weight and macronutrient selection in Wistar rat offspring. Journal of Developmental Origins of Health and Disease 1 386395. (https://doi.org/10.1017/S2040174410000565)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Tarasuk V & & Brassard D 2021 The effect of consuming voluntarily fortified food and beverages on usual nutrient intakes in the Canadian population. Food and Nutrition Research 65 [epub]. (https://doi.org/10.29219/fnr.v65.5256)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Taylor PD & & Poston L 2007 Developmental programming of obesity in mammals. Experimental Physiology 92 287298. (https://doi.org/10.1113/expphysiol.2005.032854)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Valdes AM, Walter J, Segal E & & Spector TD 2018 Role of the gut microbiota in nutrition and health. BMJ 361 k2179. (https://doi.org/10.1136/bmj.k2179)

  • Valerie T 2014 Discretionary fortification--a public health perspective. Nutrients 6 44214433. (https://doi.org/10.3390/nu6104421)

  • van Galen KA, Ter Horst KW & & Serlie MJ 2021 Serotonin, food intake, and obesity. Obesity Reviews 22 e13210. (https://doi.org/10.1111/obr.13210)

  • Vickers SP, Benwell KR, Porter RH, Bickerdike MJ, Kennett GA & & Dourish CT 2000 Comparative effects of continuous infusion of mCPP, Ro 60–0175 and d-fenfluramine on food intake, water intake, body weight and locomotor activity in rats. British Journal of Pharmacology 130 13051314. (https://doi.org/10.1038/sj.bjp.0703443)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Walker RW, Clemente JC, Peter I & & Loos RJF 2017 The prenatal gut microbiome: are we colonized with bacteria in utero? Pediatric Obesity 12(Supplement 1) 317. (https://doi.org/10.1111/ijpo.12217)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Wallace TC & & Fulgoni VL 2017 Usual choline intakes are associated with egg and protein food consumption in the United States. Nutrients 9 839. (https://doi.org/10.3390/nu9080839)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Wallace TC & & Fulgoni VL 3rd 2016 Assessment of total choline intakes in the United States. Journal of the American College of Nutrition 35 108112. (https://doi.org/10.1080/07315724.2015.1080127)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Wilson RD, Audibert F, Brock JA, Carroll J, Cartier L, Gagnon A, Johnson JA, Langlois S, Murphy-Kaulbeck L, Okun N, et al.2015 Pre-conception Folic Acid and Multivitamin Supplementation for the Primary and Secondary Prevention of Neural Tube Defects and Other Folic Acid-Sensitive Congenital Anomalies. Journal of Obstetrics and Gynaecology Canada 37 534552. (https://doi.org/10.1016/S1701-2163(1530230-9)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Yabut JM, Crane JD, Green AE, Keating DJ, Khan WI & & Steinberg GR 2019 Emerging roles for serotonin in regulating metabolism: new implications for an ancient molecule. Endocrine Reviews 40 10921107. (https://doi.org/10.1210/er.2018-00283)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Young RL, Lumsden AL & & Keating DJ 2015 Gut serotonin is a regulator of obesity and metabolism. Gastroenterology 149 253255. (https://doi.org/10.1053/j.gastro.2015.05.020)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Young SN & & Leyton M 2002 The role of serotonin in human mood and social interaction. Insight from altered tryptophan levels. Pharmacology, Biochemistry, and Behavior 71 857865. (https://doi.org/10.1016/s0091-3057(0100670-0)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Zeisel SH 2013 Metabolic crosstalk between choline/1-carbon metabolism and energy homeostasis. Clinical Chemistry and Laboratory Medicine 51 467475. (https://doi.org/10.1515/cclm-2012-0518)

    • PubMed
    • Search Google Scholar
    • Export Citation