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. 2020 Jul 17;10(9):e01714. doi: 10.1002/brb3.1714

Pre‐Gestational intake of Lactobacillus helveticus NS8 has anxiolytic effects in adolescent Sprague Dawley offspring

Yunxia Niu 1,2,3, Shan Liang 4, Tao Wang 2, Xu Hu 2, Wei Li 2, Xiaoli Wu 2, Feng Jin 2,✉
PMCID: PMC7507564  PMID: 32681606

Abstract

Introduction

Adolescence is a period of heightened susceptibility to anxiety disorders. Probiotic supplementation had a positive impact on reducing anxiety. The maternal microbiome plays an important role in child health outcomes and in the establishment of the offspring microbiome. Few studies have investigated the impact of gestational probiotic supplementation on the offspring's anxiety.

Methods

The present study examined the impact of prenatal Lactobacillus helveticus NS8 supplementation (LAC) on Sprague Dawley rat offspring's anxiety‐like behavior. The behaviors tested in the present study include the elevated plus maze (EPM), the open field test (OFT), and prepulse inhibition (PPI). Analyses of variance were utilized.

Results

(a) The performance of LAC adolescent rats in the EPM was similar to that in the OFT, both of which reflect that LAC caused an antianxiety effect in adolescent offspring rats and the antianxiety effect without sex differences; (b) LAC did not change performance in PPI and did not change the sex and age differences in PPI; and c. LAC decreased the body mass of rat offspring.

Conclusion

Lactobacillus helveticus NS8 supplementation during gestation might have a moderate antianxiety effect in both males and females (especially adolescents) and be helpful for avoiding excessive body mass.

Keywords: antianxiety, elevated plus maze test, gestation, Lactobacillus helveticus, open field test

Pregnancy Lactobacillus helveticus NS8 supplementation might have a moderate antianxiety effect on the offspring rats (especially adolescents) and might be helpful to avoid the excessive body mass of the offspring rats

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1. INTRODUCTION

The adolescent brain exhibits remarkable development, and adolescence can be a time of significant psychological and physiological vulnerability (Andersen, 2003; Casey, Jones, & Hare, 2008; Dahl, 2004; Kessler et al., 2007; Merikangas, 2009; Schneider, 2013; Spear, 2000). For some individuals, adolescence is a period of heightened susceptibility to anxiety disorders (Crick & Zahn‐Waxler, 2003; Giedd, Keshavan, & Paus, 2008; Petersen, 2005). Moreover, retrospective studies of children and adults suggested that childhood anxiety disorders might continue to exist for many years and could lead to other psychiatric disorders (Bland, Newman, & Orn, 1988; Burke, Burke, Regier, & Rae, 1990; Flament et al., 1988; Keller et al., 1992; Schneier, Johnson, Hornig, Liebowitz, & Weissman, 1992).

During the last few decades, the gut microbiota has become a focus of medical research and has been shown to be intertwined with various central nervous system diseases (Tremlett, Bauer, Appel‐Cresswell, Finlay, & Waubant, 2017), such as autism, major depression, schizophrenia, Alzheimer's disease, and Parkinson's disease (Dinan & Cryan, 2015; Hu, Wang, & Jin, 2016; Li et al., 2017; Sampson et al., 2016; Severance, Yolken, & Eaton, 2014). Gut microbiota might be closely related to anxiety and might provide novel approaches for prevention and treatment (Foster & Mcvey Neufeld, 2013). Gut microbiota composition is influenced by several factors, including host‐dependent factors, treatment, and diet (such as prebiotics or probiotics) (Delzenne, Neyrinck, Bäckhed, & Cani, 2011). The preclinical evidence shows that probiotic administration has some anxiolytic effects or antidepressive effects (Abildgaard, Elfving, Hokland, Lund, & Wegener, 2017; Ennio et al., 2018; Reis, Ilardi, Punt, & Jane, 2018). The clinical evidence also shows that probiotic administration has some anxiolytic effects or antidepressive effects (Eskandarzadeh et al., 2019; Lew et al., 2018; Reis et al., 2018; Slykerman et al., 2017; Pirbaglou et al., 2016).

Maternal microbes play a vital role in the establishment of the offspring microbiome (Antony et al., 2014; Collado, Rautava, Aakko, Isolauri, & Salminen, 2016; Koleva, Kim, Scott, & Kozyrskyj, 2015; Satokari, Grönroos, Laitinen, Salminen, & Isolauri, 2008) and can be transferred to the fetus (Brown et al., 2013; Paul, Bomhof, Vogel, & Reimer, 2016; Walker, Clemente, Peter, & Loos, 2017). Meanwhile, the development of the microbiome occurs simultaneously with neural development and plays a key role in neurological system maturation (Borre et al., 2014). Maternal microbiome is recognized as a key determinant of a range of maternal and child health outcomes (Dunlop et al., 2015). Evidence has shown that probiotic supplementation in early life may reduce the risk of neuropsychiatric disorders later in childhood (Pärtty, Kalliomäki, Wacklin, Salminen, & Isolauri, 2015). Evidence has also shown that probiotic supplementation in gestation is safe and might benefit gestation metabolism (Gomez‐Arango et al., 2016; Koren et al., 2012; Lindsay, Walsh, Brennan, & Mcauliffe, 2013; Luoto, Laitinen, Nermes, & Isolauri, 2010). A review study suggested that prenatal probiotic exposure might be more effective than infant exposure, influencing gut microbiota, the immune system and nutrient utilization (Naaktgeboren, 2010), and another study also indicated that microbial exposure during gestation might be even more important for its preventative effects against allergic disease (Abrahamsson, Wu, & Jenmalm, 2015).

Probiotics are defined as “live microorganisms that when administered in adequate amounts confer a health benefit on the host” (FAO & WHO, 2001). Studies have reported that many probiotics can modify the composition of gut bacteria, with a reduction in negative strains and an increase in those considered protective (Principi & Esposito, 2016). Probiotics can reduce the concentration of the harmful products of certain bacteria (Wall et al., 2012). Lactic acid bacteria are a common, effective, and safe type of probiotic (Clemente, Ursell, Parfrey, & Knight, 2012; Consortium H M P, 2012; Ljungh & Wadström, 2006; Vyas & Ranganathan, 2012). And the genus Lactobacillus is widely present in the vagina (Consortium H M P, 2012; Eloefadrosh & Rasko, 2013). And there is also one study found that pregnant Lactobacillus rhamnosus HN001 supplement women had significantly lower depression and anxiety scores in the postpartum period (Slykerman et al., 2017). However, few studies have investigated the effect of lactic acid bacteria supplementation during gestation and the effect of prenatal probiotic exposure on anxiety‐like behavior in offspring.

The elevated plus maze (EPM) is a validated method for assessing fear/anxiety in rats that have been used for over 30 years (Pellow, Chopin, File, & Briley, 1985). The open field test (OFT) is also one of the most widely used instruments in animal psychology and is also a rodent model of normal anxiety (Prut & Belzung, 2003). In the present study, we used the EPM and the OFT to investigate rat offspring anxiety. Prepulse inhibition (PPI) is an operational measure of sensorimotor gating or inhibition associated with frontal‐executive functioning (Perry, Minassian, Lopez, Maron, & Lincoln, 2007). PPI is a robust phenomenon that is found across species and can be studied in both humans and animals; it occurs at the first exposure and, therefore, is not a form of conditioning, and it also does not show habituation or extinction (Ellenbroek & Cools, 1990; Geyer & Markou, 1995; Koch, Garner, & Denbuuse, 2003; Swerdlow & Geyer, 1998). An increase or decrease in PPI was found to be associated with some neuropsychiatric disorders, such as schizophrenia, autism, and bipolar disorder (Braff & Geyer, 1990; Gogos, Maarten, & Rossell, 2009; Madsen, Bilenberg, Cantio, & Oranje, 2014). Thus, we plan to test PPI to evaluate sensorimotor gating.

In the present study, we aimed to evaluate the beneficial or harmful behavioral effects of lactic acid bacteria supplementation during gestation in rat offspring. Lactobacillus helveticus strain NS8 (L. helveticus strain NS8) has been shown to improve cognition in hyperammonemia rats (Luo et al., 2014) and to improve chronic restraint stress‐induced behavioral (anxiety and depression) and cognitive dysfunction in rats (Liang et al., 2015). L. helveticus strain NS8 was administered during the last week of gestation, which approximately coincides with the second trimester of gestation in humans, and the second trimester of gestation in humans is considered critical for vulnerability to psychiatric disorders (Bayer, Altman, Russo, & Zhang, 1993). We hypothesized that L. helveticus strain NS8 supplementation during gestation in rats could improve the anxiety level in the rat offspring, especially adolescent rats, without changing prepulse inhibition.

2. MATERIALS AND METHODS

2.1. Animals

Nine‐week‐old specific‐pathogen‐free (SPF) Sprague Dawley (SD) rats were purchased from Vital River Laboratories, including 12 female and 3 male rats. The animals were individually housed in plastic cages on a 12/12‐hr light/dark cycle (lights on at 07:00 a.m.), at a temperature ranging from 22 to 24°C and at 40%–60% humidity, with a diet of standard rodent chow and water given ad libitum at the Animal Behavior Analysis Platform of the Institute of Psychology in specific‐pathogen‐free conditions. Following 10 days of acclimation, rats were mated by a female: male ratio of 4:1. Four females were put into a male's box at 19:00 p.m. and were then placed back in their own box at 8:00 a.m. the next day. The vaginal smear method was used to identify pregnant females, and the day on which sperm in the vagina was observed was gestation 1 (G1). The female rats that mated with the same male rat were divided into different groups: control group (CON, n = 5) and gestational Lactobacillus helveticus supplement group (LAC, n = 4, administration Lactobacillus helveticus NS8 from G13 to G22). The litter size (defined as the total number of pups born per litter) ranged from 13 to 17 pups. All dams vaginally delivered their pups. Following delivery, the dam and her pups were left undisturbed in their cages until weaning on postnatal day 21 (Pd21).

According to sex and prenatal treatment, male offspring from each litter were group‐housed with three to four pups per cage, and females were placed with three or four pups per cage. According to sex, age of behavior test, and prenatal treatment, rats in the same litter were relatively uniform distributed to different sub‐groups (2–4 rats per litter). The rats were exposed to normal animal room procedures from that point forward until experimental use.

Based on Schneider's review (Schneider, 2013), postnatal days 30–40 (Pd30‐40) could be considered adolescence in female rats, and postnatal days 40–50 (Pd40‐50) could be considered adolescence in male rats. Postnatal days after 60 (Pd60) could be considered adulthood in female rats and after 70 (Pd70) could be considered adulthood in male rats. Thus, here we tested the behaviors at puberty on Pd35 in the female rats (LAC, n = 11; CON, n = 11) and on Pd40 (LAC, n = 12; CON, n = 14) in the male rats; during adulthood, we tested the behaviors on Pd100 in the female rats (LAC, n = 14; CON, n = 11) and on Pd105 in the male rats (LAC, n = 12; CON, n = 12) (see Figure 1).

FIGURE 1.

FIGURE 1

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Timeline showing a summary of the experimental design. G, gestational days; L. helveticus NS8 suppl., Lactobacillus helveticus NS8 supplement; Pd, postnatal days; EPM, elevated plus maze; OFT, open field test; PPI, prepulse inhibition

Body mass was measured in a pseudorandom order (the females separately on Pd28, Pd51, Pd66, Pd76, Pd86 (LAC, n = 14; CON, n = 12); the males separately on Pd28, Pd51, Pd66, Pd76, Pd86) (LAC, n = 12; CON, n = 12). An outline of the experimental design schedule is shown in Figure 1. The entire experimental protocol was approved by the Institutional Animal Care and Use Committee of the Institute of Psychology of the Chinese Academy of Sciences.

2.2. Lactobacillus helveticus NS8 strain administration

The Lactobacillus helveticus NS8 strain (laboratory designated numbers) was isolated from naturally fermented dairy from the Mongolia grasslands in Inner Mongolia, China P.R. The NS8 strain was inoculated into MRS media and incubated three times at 37°C for 18 hr each cycle. Then, the strain was extracted by centrifugation at 1500×g for 5 min and washed twice with PBS buffer. Then, the strain was resuspended in drinking water at a concentration of 108 CFU/ml. The water was provided to the rats and was changed each day.

2.3. Behavioral testing

All behavioral testing occurred in a dedicated behavior room at the Animal Behavior Analysis Platform of the Institute of Psychology in specific‐pathogen‐free conditions. Considering the short duration of puberty and the workload factor, the present study chose to administer all behavioral tests on the same day. Behavioral assays (elevated plus maze, EPM; open field test, OFT; and prepulse inhibition, PPI) were conducted in a consistent order—1st EPM, 2nd OFT, and 3rd PPI (see Figure 1). To prevent an interaction between the tests, the time interval between tests was approximately 2 hr, and individual animals were tested in a pseudorandom order. The EPM was performed between 08:10 and 11:10, the OFT was performed between 11:10 and 13:10, and PPI was tested between 16:10 and 18:10.

2.3.1. Elevated plus maze

Anxiety‐related behavior was assessed using the elevated plus maze (EPM), separately on Pd35/Pd100 in the female rats and Pd40/Pd105 in the male rats. Animals were allowed 10 min to acclimate to the testing room. The plus maze consists of two opposite open arms (50 cm × 10 cm) and two opposite closed arms (50 cm × 10 cm × 40 cm) connected by a 10 cm square center, elevated 70 cm above the floor and located in an observation room. The device is made of opaque black polypropylene. The light intensity at the end of the open arm is 10 lux, the light intensity in the double arm cross center area is 5 lux, the light intensity at the intersection of the center and the closed arm is 1–2 lux, and the intensity of the light in the closed arm is 0 lux. Rats were placed in the central area with their heads toward one corner so that they had an equal chance of going to either open arms or closed arms. An overhead camera and computer‐assisted tracking system (X‐eye Aba3.2, Beijing Macro Ambition S&T development Co. Ltd.) was used to record entries into different areas and the time spent in different areas. Following a 5 min period of maze exploration, the animal was returned to its home cage, and the maze was cleaned with 30% ethanol and dried prior to the next testing session to eliminate possible bias due to odors left by the previous rat.

A detailed factorial analysis of behavior in the plus maze revealed that the time spent in the open arms load most heavily with variables associated with anxiety‐like behavior (Cruz, Frei, & Graeff, 1994). The percentage of time spent in the open arms has usually been used as an index of fear or anxiety in many studies (Carobrez & Bertoglio, 2005). The shorter the time spent in the open arms, the higher the anxiety level is and vice versa (Ho, Eichendorff, & Schwarting, 2002; Houslay & Kolch, 2000). Thus, we analyzed the ratio of time spent in the open arms to the total time spent in all four arms as an index of anxiety‐like behavior.

2.3.2. Open field test

After the EPM was completed, two hours later, the open field test (OFT) was performed. The apparatus was a circular arena, 150 cm in diameter with a 50‐cm wall, and the light intensity was 0 lux. And the test room had a dim illumination in order to decrease the averseness of the test (Sarkisova & Kulikov, 2006). The ratio of the diameter of the central area to the diameter of the circular arena is 5:13. An overhead camera and computer‐assisted tracking system (X‐eye Aba3.2, Beijing Macroambition S&T development Co. Ltd.) was used to record time and distance travelled in different areas, entries into different areas, and latency to reach the center from the peripheral part of the maze. After each animal completed the task, the apparatus was cleaned with 30% alcohol solution and was dried prior to additional testing to eliminate possible bias due to odors left by the previous rat. During each exposure, the rat was placed in the same corner, and the behavior was observed and timed for 5 min.

It has been reported that the more time that is spent in the central part and the longer the latency to central entries is, the lower the anxiety is and vice versa; additionally, the shorter the latency to reach the center from the peripheral part is, the lower the level of anxiety and vice versa (Prut & Belzung, 2003; Walsh & Cummins, 1976). In the present study, we analyzed the ratio of the time spent in the center to the total time spent in the OFT, the ratio of central part entries to total entries to the central and peripheral parts, the ratio of distance travelled in the center to the total distance travelled in the OFT, and the ratio of the latency to reach the center to the total time spent in the OFT as indices of anxiolytics.

2.3.3. Prepulse inhibition of the acoustic startle reflex

Prepulse inhibition was measured with an automated startle reflex system (SR‐Lab, San Diego Instruments). The system consists of a startle chamber housed in a sound‐attenuated isolation cabinet (28.8 cm wide × 30.7 cm long × 28.5 cm high). A cylindrical holding apparatus made from transparent polypropylene (length adjusted for each rat) resting on a four‐pegged platform within the isolation chamber was used to hold each rat throughout the testing session. Below each platform, there is a piezoelectric accelerometer to detect motion. Background noise and acoustic stimuli (controlled via the SR‐Lab microcomputer and interface assembly) were delivered through a speaker mounted within the isolation chamber. All test chambers were placed in a sound‐attenuated experiment room that served to minimize external noise.

The rats were brought into the experiment room approximately a half‐hour before testing. Background noise (at 65 dB) was present throughout the testing session. After a 5‐min acclimation period to the background noise, each rat was presented with a series of 67 acoustic stimuli trials. Two types of trials were presented in a pseudorandom order. One of the types is an individual startle trial (single acoustic stimulus delivered at 115 dB for 40 ms), and the other is a prepulse stimulus trial (a single prepulse stimulus presented at 66, 68, 70, 74, 77, or 81 dB for 20 ms followed 100 ms later by a startle stimulus presented at 115 dB for 40 ms). In total, 17 individual startle trials, 7 each of the 66 and 81 dB prepulse inhibition trials, and 9 each of the 68, 70, 74, and 77 dB prepulse inhibition trials were presented. Individual startle trials were presented consecutively in groups of four at the start and end of each testing session. The average intertrial interval was 15 s. Each testing session lasted approximately 22 min. The cylindrical holding apparatus was cleaned with 30% ethanol solution between each test session. The data used for analysis are the pressures recorded by the platform floor each time the rat startles, expressed as a Vmax. The percentage of the inhibition of the startle response compared to the mean startle reflex was calculated as %PPI = 100 × (1 − mean Vmax 115 dB pulse preceded by prepulse/mean Vmax 115 dB only). Startle responses on the first and last four trials were not included in the calculation.

2.4. Statistical analyses

Three‐way (prenatal treatment × age ×sex) analysis of variance (ANOVA) was run for the EPM and OFT data using SPSS statistical software for Mac OSX (version 23.0), and litter size was used as a covariate.

Four‐way repeated measures analysis of variance (ANOVA) was run for prepulse inhibition data (prepulse stimulus intensity × prenatal treatment × age × sex) using SPSS statistical software for Mac OSX (version 23.0); prepulse stimulus intensity is a within‐subjects’ variable and the others are between‐subjects’ variables. Litter size was used as a covariate. BONFERRONI’s multiple comparisons correction was used as a post hoc test. Mauchly's sphericity test was significant (p < .01) for prepulse inhibition data. This test shows that the data do not obey the spherical hypothesis and Huynh–Feldt condition; it also shows that there are correlations between repeated measurements. It cannot be processed with one‐way ANOVA. Multivariate ANOVA is needed, and the results of the multivariate test are taken as the criteria.

Three‐way repeated measures analysis of variance (ANOVA) was run for body mass (postnatal day × prenatal treatment × sex) using SPSS statistical software for Mac OSX (version 23.0); postnatal day is a within‐subjects’ variable, and the others are between‐subjects’ variables. Litter size was used as a covariate. BONFERRONI’s multiple comparisons correction was used as a post hoc test. Mauchly's sphericity test was significant (p < .01) for body mass. This test shows that the data do not obey the spherical hypothesis and Huynh–Feldt condition; it also shows that there are correlations between repeated measurements. It cannot be processed with one‐way ANOVA. Multivariate ANOVA is needed, and the results of the multivariate test are taken as the criteria.

Graphics were created in GraphPad Prism6 for Mac OSX. The results are presented as averages ± standard error of the mean (SEM). The statistical significance level was set at p < .05, and a nonsignificant effect (.05 < p ＜ .1 was also reported in the results section.

3. RESULTS

3.1. Elevated plus maze

For the ratio of time spent in the open arms to the total time in all four arms, a three‐way interaction between prenatal treatment, age, and sex were not observed (F 1,88 = 1.49, p > .05, partial η 2 = 0.02), and an interaction of prenatal treatment and sex were not observed (F 1,88 = 1.00, p > .05, partial η 2 = 0.01) (see Figure 2).

FIGURE 2.

FIGURE 2

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Group differences, age differences, and sex differences in the ratio of time spent in the open arms in the elevated plus maze in the rat offspring. LAC increased the ratio of open arm time in adolescent female and male rats. The ratio of open arm time in adolescent rats was significantly higher than that in adult rats. The ratio of open arm time in adolescent female rats was significantly higher than that in adolescent male rats, and there were no significant sex differences during adulthood. AD, adult; PB, puberty; CON, control group; LAC, gestational Lactobacillus helveticus NS8 supplement group; f, female; m, male. Data represent the mean ± SEM. Asterisks indicate significance: **p < .01, ***p < .001

An interaction between prenatal treatment and age (F 1,88 = 4.76, p < .05, partial η 2 = 0.05) was observed. Post hoc tests showed that the ratio of time spent in the open arms to the total time spent in all four arms in LAC adolescent rats was significantly higher than in CON adolescent rats (p < .01) (see Figure 2). A post hoc test also showed that the ratio of time spent in the open arms to the total time spent in all four arms in adolescent rats was significantly higher than in adult rats in both the LAC (p < .001) and CON (p < .001) groups (see Figure 2).

Meanwhile, for the ratio of time spent exploring the open arms, an interaction between sex and age (F 1,88 = 7.62, p < .01, partial η 2 = 0.08) was observed. A post hoc test showed that the ratio of time spent in the open arms to the total time spent in all four arms in adolescent female rats was significantly higher than in adolescent male rats (p < .001) (see Figure 2). A post hoc test also showed that the ratio of time spent in the open arms to the total time spent in all four arms in adolescent rats was significantly higher than in adult rats in both females (p < .001) and males (p < .001) (see Figure 2).

These indicated that prenatal probiotic treatment increased the proportion of time in the open arms for both adolescent male and female rats, and the proportion of time in the open arms decreased following age, and there are sex differences in the proportion of time in the open arms for adolescent rats.

3.2. Open field test

For the ratio of time spent in the center to the total time spent in the OFT, a main effect of prenatal treatment (F 1,93 = 5.67, p < .05, partial η 2 = 0.06) showed that the ratio of time spent in the center to the total time spent in the OFT in the LAC group was significantly higher than that in the CON group (see Figure 3a).

FIGURE 3.

FIGURE 3

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Group differences, age differences, and sex differences in the ratio of the time spent in the central part, the ratio of central part entries, the ratio of latency to enter the central part, and the ratio of distance travelled in the center in the open field test in the rat offspring. (a) and d showed that LAC increased the ratio of time spent in the central part and the ratio of distance travelled in the center in the rat offspring; sex and age did not significantly influence these indices. (b) LAC increased the ratio of central part entries; the ratio of open arm entries in adolescent female rats was significantly higher than that in adolescent male rats; and sex did not significantly influence this index. (c) LAC decreased the ratio of latency to enter central part; sex and age did not significantly influence this index. AD, adult; PB, puberty; CON, control group; LAC, gestational Lactobacillus helveticus NS8 supplement group. The data represent the mean ± SEM. Asterisks indicate significance: *p < .05

For the ratio of central entries to total entries into the central and peripheral parts, main effect of prenatal treatment (F 1,93 = 6.38, p < .05, partial η 2 = 0.06) and age (F 1,93 = 6.20, p < .05, partial η 2 = 0.06) showed that the ratio of central entries to total entries into the central and peripheral parts in the LAC group was significantly higher than that in CON group, and the ratio of central part entries to total entries into the central and the peripheral parts in adolescent rats was significantly higher than that in adult rats (see Figure 3b).

For the ratio of the latency to reach the center from a peripheral starting position to the total time spent in the OFT, a main effect of prenatal treatment (F 1,93 = 5.07, p < .05, partial η 2 = 0.05) showed that this ratio was significantly lower in the LAC group than in the CON group (see Figure 3c).

For the ratio of the distance travelled in the center to the total distance travelled in the OFT, a main effect of prenatal treatment (F 1,93 = 6.80, p < .05, partial η 2 = 0.07) showed that it was significantly higher in the LAC group than in the CON group (see Figure 3d).

These indicated that prenatal probiotic treatment increased the proportion of the time/entries spent in the center and the distance travelled in the center, decreased the proportion of the latency to reach the center from the peripheral zone (in males and females during both puberty and adult stages). These also indicated that no sex‐specific differences were observed in central part entries, and the proportion of central part entries decreased with age within each sex.

3.3. %PPI

A four‐way interaction between prepulse intensity, prenatal treatment, age, and sex (F 5,86 = 0.65, p = .66 > .05, partial η 2 = 0.04) was not observed. A three‐way interaction between prepulse intensity, age, and sex (F 5,86 = 1.16, p = .33 > .05, partial η 2 = 0.06) was not observed; a three‐way interaction between prepulse intensity, prenatal treatment, and age (F 5,86 = 1.42, p = .23 > .05, partial η 2 = 0.08) was not observed; and a three‐way interaction between prepulse intensity, prenatal treatment, and sex (F 5,86 = 0.95, p = .45 > .05, partial η 2 = 0.05) was not observed. A three‐way interaction between prenatal treatment, age, and sex (F 1,90 = 0.03, p = .87 > .05, partial η 2 = 0.00) was not observed.

An interaction between prepulse intensity and prenatal treatment was not observed (F 5,86 = 2.04, p = .08 > .05, partial η 2 = 0.11); an interaction between prepulse intensity and sex was not observed (F 5,86 = 1.16, p = .33 > .05, partial η 2 = 0.06); and an interaction between prepulse intensity and age was also not observed (F 5,86 = 0.70, p = .62 > .05, partial η 2 = 0.04). An interaction between prenatal treatment and sex (F 1,90 = 0.21, p = .65 > .05, partial η 2 = 0.002) was not observed. An interaction between prenatal treatment and age (F 1,90 = 0.01, p = .94 > .05, partial η 2 = 0.00) was not observed. An interaction between sex and age (F 1,90 = 0.47, p = .50 > .05, partial η 2 = 0.01) was not observed.

A main effect of prepulse intensity (F 5,86 = 1.60, p = .17 > .05, partial η 2 = 0.09) was not observed; a main effect of prenatal treatment (F 1,90 = 1.35, p = .25 > .05, partial η 2 = 0.14) was not observed; a main effect of age (F 1,90 = 18.21, p < .001, partial η 2 = 0.17) was observed; and a main effect of sex (F 1,90 = 8.58, p < .01, partial η 2 = 0.09) was observed. BONFERRONI’s multiple comparisons correction showed that %PPI in adult rats was significantly greater than that in adolescent rats at all six prepulse intensities (66 dB, p < .001; 68 dB, p < .001; 70 dB, p < .01; 74 dB, p < .01; 77 dB, p < .001; 81 dB, p < .01) (see Figure 4). BONFERRONI’s multiple comparisons correction showed that %PPI in male rats was significantly greater than that in female rats at most prepulse intensities (68 dB, p < .05; 70 dB, p < .05; 74 dB, p < .01; 77 dB, p < .01; 81 dB, p < .01) (see Figure 4).

FIGURE 4.

FIGURE 4

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Group differences, age differences, and sex differences in %PPI in the rat offspring. There were no significant differences between CON and LAC rats in %PPI at any prepulse intensity. Adult rats exhibited higher prepulse inhibition as indicated by higher %PPI at all prepulse intensities. Male rats exhibited higher prepulse inhibition, as indicated by higher %PPI at 68, 70, 74, 77 and 81 dB prepulse intensities. %PPI, percentage of prepulse inhibition; AD, adult; PB, puberty; CON, control group; LAC, gestational Lactobacillus helveticus NS8 supplement group; dB, decibel. The data represent the mean ± SEM. Asterisks indicate significance: *p < .05, **p < .01, ***p < .001

3.4. Body mass

A three‐way interaction of postnatal day, prenatal treatment, and sex (F 4,42 = 1.40, p = .25 > .05, partial η 2 = 0.12) was not observed. An interaction between postnatal day and prenatal treatment was observed (F 4,42 = 8.78, p < .001, partial η 2 = 0.46); an interaction between postnatal day and sex was also observed (F 4,42 = 171.11, p < .001, partial η 2 = 0.94); and an interaction between prenatal treatment and sex was not significant (F 1,45 = 0.13, p > .05, partial η 2 = 0.00). A main effect of postnatal day was observed (F 4,42 = 34.46, p < .001, partial η 2 = 0.76), indicating that body mass increased significantly with age. A main effect of prenatal treatment was observed (F 1,45 = 14.02, p < .01, partial η 2 = 0.24). A main effect of sex was observed (F 1,45 = 371.89, p < .001, partial η 2 = 0.89).

BONFERRONI’s multiple comparisons correction showed that body mass in LAC rats was significantly lighter than that in CON rats on Pd51(p < .01), Pd76(p < .001), and Pd86(p < .001); body mass in female rats was significantly lower than that in male rats on Pd51(p < .001), Pd66(p < .001), Pd76(p < .001), and Pd86(p < .001) (see Figure 5).

FIGURE 5.

FIGURE 5

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Group differences and sex differences in rat offspring body mass from Pd28 to Pd86. A. LAC rats exhibited lower body mass than CON rats on Pd51, Pd76, and Pd86. Female rats exhibited lower body mass than male rats from Pd51 to Pd86. CON, control group; LAC, gestational Lactobacillus helveticus NS8 supplement group; Pd, postnatal day. The data represent the mean ± SEM. Asterisks indicate significance: **p < .01, ***p < .001

4. DISCUSSION

4.1. The impact of L. helveticus NS8 supplementation during gestation on anxiety‐like behaviors, PPI, and body mass in rat offspring

The present study found that L. helveticus strain NS8 supplementation during gestation in rats could improve the anxiety level in the rat offspring (especially adolescence), without changing prepulse inhibition, which was consistent with the hypothesis. The detailed analysis is shown below.

4.1.1. Anxiety‐like behaviors

The present study found that gestational L. helveticus NS8 supplementation decreased anxiety‐like behavior in adolescent rats in the EPM. The rats’ performance in the OFT was similar to that in the EPM, which might mean that rats’ gestational supplemented with L. helveticus NS8 showed significant anxiolytic effects. Studies have also found that diets containing a combination of the prebiotics polydextrose (PDX) and galactooligosaccharide (GOS) and the live bacteria Lactobacillus rhamnosus GG (LGG) (from weaning) attenuated the effects of early‐life maternal separation (MS) on anxiety‐like behavior (McVey Neufeld, O'Mahony, Hoban, Waworuntu, & Cryan, 2017). Notable, periconceptional antibiotic(succinylsulfathiazole) exposure has been linked with increased anxiety in offspring (Degroote, Hunting, Baccarelli, & Takser, 2016). Here, we inferred that gestational L. helveticus NS8 supplementation had an anxiolytic effect on the adolescent offspring rats. This result is consistent with some preclinical/ clinical evidence which shows that probiotic administration has some anxiolytic effects (Ennio et al., 2018; Eskandarzadeh et al., 2019; Lew et al., 2018; Reis et al., 2018; Slykerman et al., 2017). Future studies may consider investigating perinatal supplementation of L. helveticus NS8 with antibiotic treatment to attenuate postnatal anxiety symptoms in offspring during various stages of development.

The underlying mechanism is unclear. We try to make an explanation based on the existing research. It has been reported that early changes in 5‐HT homeostasis are involved in the physiopathology of psychiatric diseases, which include anxiety disorders (Ansorge, Zhou, Lira, Hen, & Gingrich, 2004; Gingrich & Hen, 2001; Gross et al., 2002; Lesch et al., 1996; Whitakerazmitia, 2001). The gastrointestinal (GI) tract contains much of the body's serotonin (5‐hydroxytryptamine, 5‐HT), and gut microbiota plays a critical role in regulating host 5‐HT levels (Yano et al., 2015). Maternal microorganisms play a vital role in the establishment of the offspring microbiome (Antony et al., 2014; Collado et al., 2016; Koleva et al., 2015; Satokari et al., 2008), and probiotic bacteria can transfer from the mother to the child (Dotterud et al., 2015). Here, L. helveticus NS8 strain supplementation during gestation might modify offspring gut microbiota and then improve 5‐HT homeostasis in the rat offspring, thus producing an antianxiety effect. The mechanism is worth further research.

4.1.2. PPI

According to the results, we found that PPI was not influenced by gestational L. helveticus NS8 supplementation, and age and sex differences were also not disturbed by gestational L. helveticus NS8 supplementation. In addition, there was a report that periconceptional succinylsulfathiazole (a nonabsorbable antibiotic) exposure alters sensorimotor gating in rat offspring (Degroote et al., 2016). Either an increase (except the increase with age) or a decrease in PPI might reflect the aberrant sensorimotor gating that presents in some neuropsychological diseases (Braff & Geyer, 1990; Gogos et al., 2009; Hoenig, Hochrein, Quednow, Maier, & Wagner, 2005; Madsen et al., 2014; Perry et al., 2007; Swerdlow et al., 1995). Thus, we infer that either increasing or decreasing PPI is a bad thing and that gestational L. helveticus NS8 supplementation might not be harmful to sensorimotor gating (Perry et al., 2007). There is no research on the effect of lactic acid bacteria on PPI, so it is difficult for us to discuss this result in depth.

4.1.3. Body mass

The present study found that gestational L. helveticus NS8 supplementation decreased the body mass of rat offspring (about from 51 days to adulthood) without influencing sex differences. Adolescence is also an especially vulnerable period for considering overweight and obesity issues in humans (Dorn & Chrousos, 1997). The present study result was also similar to a report showing that probiotic supplementation during a mother's gestation may moderate excessive weight gain in children during early childhood (Luoto et al., 2010). We inferred that Lactobacillus helveticus NS8 supplementation during the last week of gestation might be helpful for avoiding excessive body mass in the offspring, which supports the idea that gestational microbiota modification may offer a new direction for preventive and therapeutic applications in reducing offspring weight problems and obesity (Collado, Isolauri, Laitinen, & Salminen, 2008). On the other hand, we also infer that Lactobacillus helveticus NS8 supplementation disrupts the normal pattern of somatic growth. However, we did not assess feeding behavior or metabolic indices which may confound the observations.

There are also reports show body mass might be closely associated with anxiety‐like behaviors. For example, rats in the high‐fat diet showed both greater levels of anxiety‐related behavior and higher body mass (or obesity) (Noronha et al., 2016; Sivanathan, Thavartnam, Arif, Elegino, & Mcgowan, 2015). In humans, there are reports show anxiety closely associated with overweight/obesity (Namakin, Molae, Sharifzadeh, & Javadinia, 2016; Sharafi et al., 2019). And there are also reports show probiotics can modify body mass together with anxiety states in HFD (high‐fat diet)‐treated Syrian golden hamster (Ennio et al., 2018). In the present study, the lower anxiety in LAC rats might because of the lower body mass in LAC rats. Thus, gestational probiotic supplement might be a potential method to solve both the anxiety and overweight issues (especially during adolescence).

4.2. The differences in rat offspring anxiety‐like behaviors and PPI based on sex and age in normal environmental conditions

First, adolescent rats showed fewer anxiety‐like behaviors than adult rats in the EPM and in the OFT. This result was similar to prior studies showing that SD rats displayed increased anxiety‐related behavior with age (from postnatal day 74 to 346) (Ferguson & Gray, 2005) and that rats of both sexes exhibited a reduction in the time spent in the open arms of the EPM with age (between 45 and 60) (Imhof, Coelho, Schmitt, Morato, & Carobrez, 1993).

Second, adolescent female rats showed fewer anxiety‐like behaviors than adolescent male rats. This result was similar to prior studies showing that adult female SD rats (on postnatal day 74) stayed in the closed arms for less time than adult males (Ferguson & Gray, 2005), and adult (on postnatal 60 and 90 days) female Wistar rats and adult female Lewis rats showed fewer anxiety‐like behaviors than males (Estanislau & Morato, 2006; Imhof et al., 1993; Ramos et al., 2002). Studies showed sex differences in anxiety, both in animals and humans (Becker et al., 2005; Donner & Lowry, 2013; Johnston & File, 1991). Thus, the sex difference of anxiety‐like behavior might be cross‐variety consistency. The difference was that there were no significant sex differences between the adult rats in this study.

Third, we found that adult rats showed higher PPI than adolescent rats, and this result was similar to human studies showing that PPI demonstrated an inverted U‐shaped function with age (highest PPI at intermediate ages) (Ellwanger, Geyer, & Braff, 2003). We found that male rats showed higher PPI than females, which was in line with human studies (Blumenthal & Gescheider, 1987; Swerdlow, 1993). Then, the results can be extrapolated to humans to some extent.

There are some limitations to this study. For example, (a) we did not have a heat‐killed probiotic group that can help us determine whether live bacteria are at work or whether metabolites of bacteria are at work. (b) We also did not test the physiological indexes, like Dopamine (DA) and 5‐hydroxytryptamine (5‐HT), which are closely related to emotion; and maternal and offspring fecal sequencing, which is becoming a valuable future biomarker. (c) In experimental design, all the behavior testing was completed in one day and a consistent order, which was a potential limitation for scientific rigor. Thus, more studies are needed to support the present conclusion. There are also some interesting points that are worth studying, such as whether there are sex differences in the antianxiety effect of lactic acid bacteria, and if not, why. It would also be interesting to understand why the antianxiety effect does not continue to adulthood or how the antianxiety effect could continue to adulthood.

5. CONCLUSION

We found that L. helveticus NS8 strain supplementation during gestation has an antianxiety effect in rat offspring (especially in adolescence) and decreased the body mass of rat offspring without influencing sex differences. Meanwhile, L. helveticus NS8 strain supplementation during gestation did not change the sex and age differences in anxiety level, and the antianxiety effect did not increase in adulthood (and also did not weaken in adulthood); L. helveticus NS8 strain supplementation during gestation did not influence sex‐ and age‐dependent or independent differences in PPI. Thus, this antianxiety effect might be moderate and safe. The conclusions suggest that the maternal microbiome during gestation could be a target for modification, supporting the idea of healing the mother and healing the baby to some extent.

CONFLICT OF INTEREST

The authors declare that they have no competing interests.

AUTHORS’ CONTRIBUTIONS

Jin and Niu conceived and designed the study. Niu, Liang, Wang, Li, Hu, and Wu performed the experiments. Niu wrote the paper. Niu, Liang, Wang, Li, Hu, and Jin were involved in revising it critically. Jin and Niu participated in the design and coordination of the paper. All authors read and approved the manuscript and agree to be accountable for all aspects of the work.

ACKNOWLEDGMENTS

The study was granted by NS Bio Japan. The authors would also like to thank Wiley for English language editing.

Niu Y, Liang S, Wang T, et al. Pre‐Gestational intake of Lactobacillus helveticus NS8 has anxiolytic effects in adolescent Sprague Dawley offspring. Brain Behav. 2020;10:e01714 10.1002/brb3.1714

The peer review history for this article is available at https://publons.com/publon/10.1111/brb3.1714

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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