Skip to content
naulon

No retraction, correction or concern found when last checked on Oct 22, 2026.

Cortisol in mother's milk across lactation reflects maternal life history and predicts infant temperament

K. Hinde, A. L. Skibiel, A. B. Foster and 3 more

Behavioral Ecology · 2014

doi:10.1093/beheco/aru186

Abstract

= 108). Glucocorticoids in mother's milk, independent of available milk energy, predicted a more Nervous, less Confident temperament in both sons and daughters. We additionally found sex differences in the windows of sensitivity and the magnitude of sensitivity to maternal-origin glucocorticoids. Lower parity mothers produced milk with higher cortisol concentrations. Lastly, higher cortisol concentrations in milk were associated with greater infant weight gain across time. Taken together, these results suggest that mothers with fewer somatic resources, even in captivity, may be "programming" through cortisol signaling, behaviorally cautious offspring that prioritize growth. Glucocorticoids ingested through milk may importantly contribute to the assimilation of available milk energy, development of temperament, and orchestrate, in part, the allocation of maternal milk energy between growth and behavioral phenotype.

Shown for reading. Its publisher allows quoting it, not republishing it.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 22, 2026. Paragraph numbers are ours, so an answer can point at one.

INTRODUCTION

Since the early 20th century, scientists have revealed a multitude of maternal effects on offspring phenotype. Among plants, birds, insects, reptiles, fish, and mammals, the maternal ecology that offspring experience reflects maternal characteristics, life-history trade-offs, and ecological conditions. This maternally mediated ecology of development has been demonstrated to influence offspring mass/growth, metabolism, reproduction, neurobiology, immune function, and behavior. Scholars posit that these reaction norms in offspring phenotype variably reflect deficits from early insults, adaptive calibration to maternal resources, or predictive adaptation to adult environment. Investigations of early life “programming” of offspring phenotype among mammals have largely addressed physiological influences at the maternal–placental–fetal interface, particularly nutritional transfer and hormonal signaling. Reduced nutrient transfer during fetal development causes intrauterine growth restriction as evidenced by small-for-gestational-age neonates. Similarly, prenatal exposure to elevated maternal glucocorticoids, the end product of the hypothalamic-pituitary-adrenal axis (corticosterone in rodents, cortisol in primates), causes low birth weight and compromised neurodevelopment and immune function.

Among mammals, substantial physiological investment continues into the postnatal period. Lactation imposes significant energetic costs because mothers synthesize milk not only to support continued offspring growth and development but also to support offspring behavioral activity. Mother’s milk, therefore, is an important physiological pathway for nutrient transfer and glucocorticoid signaling that potentially influences offspring growth and behavioral phenotype.

Mother’s milk has been associated with offspring behavioral phenotype in a handful of taxa (reviewed in; ). Collectively, these studies indicate that maternal-origin glucocorticoids ingested via milk are implicated in the development of behavioral phenotype, but the directionality and the magnitude of these effects can be different between sons and daughters. A series of systematic experimental manipulations in laboratory rats (Rattus norvegicus) over several decades demonstrated that exposure to elevated glucocorticoids through mother’s milk increased exploratory behavior, reduced anxiety, and enhanced learning in juvenility and adulthood (,;,,;;; reviewed in; ). Studies in monkeys and humans have measured “unmanipulated” cortisol concentrations in mother’s milk contemporaneously with infant temperament assessments. Cortisol concentrations in the milk at 3 months postpartum were associated with more Confident temperament (confident, bold, active, curious, and playful) in sons but greater “Negative Affectivity” (infant’s tendency toward fear, sadness, discomfort, anger/frustration, and reduced soothability) in daughters.

Studies of the effects of glucocorticoids in mother’s milk, however, have been handicapped by not simultaneously evaluating milk energy density and yield. Indeed the concentration of glucocorticoids in milk will be correlated with milk composition and yield (Bos taurus,; Macaca mulatta, ) because of the functional and biophysical properties of glucocorticoids within the mammary gland. For example, glucocorticoids are lipophilic molecules and contribute to nutrient flux and protein synthesis and prevent cell death in the mammary gland. This poses a particular problem because the enhanced behavioral and learning outcomes of glucocorticoids may be an artifact of, or partially explained by, increased nutrient transfer in milk. Previously, we demonstrated that available milk energy (AME)—the product of milk yield and milk energy density from fat, protein, and sugar concentrations—during early behavioral development was predictive of infant Confident temperament months later in captive M. mulatta, similar to the effects of cortisol concentrations in milk. The behavioral trait adjectives of confident, bold, active, curious, and playful that together manifest as the factor “Confident,” are a priori expected to be sensitive to energy balance. That sensitivity may be in part mediated by glucocorticoids.

Glucocorticoids not only regulate the “stress response” but are instrumental in the routine metabolism of carbohydrates, proteins, and fats. Individual differences in metabolism and behavioral phenotype have been posited to be correlated, and metabolism has been associated with behavioral phenotype in adults (Mus domesticus,; Peromyscus maniculatus,; Canis familiaris,; Microtus oeconomus, ). The substantial literature on the early life canalization of metabolism suggests the possibility that behavioral phenotype and metabolism are co-organized to some extent by mother’s milk. Glucocorticoids ingested through milk may, therefore, importantly contribute to the assimilation of AME, development of temperament, and orchestrate, in part, the allocation of maternal milk energy between growth and behavioral phenotype.

Although the concentration of glucocorticoids in milk shows substantial variation, the sources of that variation across individuals and across time within individual remains unclear. In the rodent studies to date, glucocorticoids have been experimentally elevated without assessing baseline or naturally occurring concentrations of glucocorticoids in milk. Maternal characteristics associated with glucocorticoid concentrations in human and monkey milk have not been reported. Maternal plasma concentrations of glucocorticoids predict about 35% of the variance of concentrations in milk. As such, glucocorticoids in mother’s milk may reflect maternal condition and ecology, already known to be associated with milk energy density and yield (C. elaphus hispanicus,; B. taurus;; Sigmodon hispidus,; humans and nonhuman primates reviewed in ). Interestingly, among American red squirrels (Tamiasciurus hudsonicus), perceptions of population density in the maternal environment increases maternal circulating glucocorticoids, accelerating offspring growth. The accumulated studies, taken together, further substantiate the hypothesis that glucocorticoids ingested via milk shape behavioral phenotype of young as a function of maternal and infant life-history trade-offs.

Here, we present the first study in any mammal to evaluate, simultaneously and longitudinally, natural variation in mother’s milk cortisol and AME in relation to maternal and infant characteristics. We predicted that cortisol concentrations in milk, controlling for AME, would be associated with infant temperament along dimensions of confidence and nervousness. Due to the previously reported sex-differentiated effects of glucocorticoids in milk in this colony specifically, we predicted that these effects would be greater in sons than in daughters. Previous studies have evaluated glucocorticoids in mother’s milk nondynamically at a single time point or after artificial elevation by an unknown amount above baseline. However, hormones exert physiological effects dynamically and critical windows of sensitivity are likely to differ between sons and daughters. We, therefore, considered changes in glucocorticoid concentrations and available energy in milk across lactation, in addition to absolute values at early and peak lactation, under the prediction that changes in milk across time may be physiologically salient to offspring. Although glucocorticoid exposure during very early development is generally associated with poor growth, we predicted that cortisol concentrations in milk would be positively associated with infant growth, as increased maternal glucocorticoids have been implicated in accelerated offspring growth rates.

To test our predictions, we studied animals living in the outdoor field corrals at the California National Primate Research Center (CNPRC) and that had undergone a standardized colony-wide BioBehavioral Assessment (BBA;;; ). Rhesus monkeys have been an ongoing and valuable animal model of maternal–infant dynamics and their behavior, temperament, and physiology are well described. Moreover, in our outdoor colony, mother–infant dyads are able to engage in the full suite of species-typical behavior and infants develop in the context of a social group similar in composition to wild-living rhesus macaques. Milk was obtained at 2 time points associated with important behavioral development and milk synthesis milestones. We assessed whether measures of temperament were better predicted 1) by AME and cortisol concentrations when infants first begin behaviorally exploring beyond their mother at 1 month of age, a critical window of neurodevelopment (reviewed in; ) versus 2) at peak lactation, approximately 3.5 months of age, when behavioral assessment was conducted, or 3) by dynamic changes between the 2 time points.

Subjects

Mother–infant dyads (N = 108) were recruited from 13 different social groups in the outdoor breeding colony at the CNPRC during infant birth seasons in 2006 (N = 42) and 2010 (N = 66). Each social group is composed of close kin, distantly related kin, and nonkin in a social structure similar to that found among wild-living rhesus groups. Subjects had produced 1–18 infants in their reproductive career at the time of the study; however, 34% were primiparous (37/108). Just over half of the mothers were rearing daughters (61/108, 56%). Subjects were fed a commercial diet twice-daily (Purina Monkey chow) supplemented with fresh produce semiweekly. Subjects were housed in 0.2-ha corrals that included multiple structures for climbing and several food distribution stations. Linear hierarchies generated by the behavioral management division at the CNPRC, based on standardized observations of social interactions, were used to categorize social rank of mothers. We split the linear hierarchies into thirds to assign “high,” “middle,” and “low” rank to individual mothers, with the exception that study mothers were assigned the rank category that characterized the majority of their matriline if the arbitrary tertile assignment recategorized them from their matrilineal kin.

Milk collection

Milk was collected using standardized methods from mothers at 1-month postpartum and again between 3 and 4 months postpartum during peak lactation. In the early postnatal period, at 1 month of infant age (mean ± standard deviation [SD] = 34±2.5 days), infants and mothers were captured in their outdoor enclosures between 7:30 and 9:00 AM and were relocated together to temporary housing. To prevent nursing, mothers were placed in mesh jackets and allowed a standardized period of milk accumulation for 3.5–4h. This allowed infants to remain in contact with their mother during this period. Between 11:30 and 13:00, mothers were sedated with ketamine hydrochloride (5–10mg/kg intramuscularly) and administered a nonphysiological dose of exogenous oxytocin [2 IU/kg (0.1mL/kg) intramuscularly] to stimulate milk letdown. Milk was collected by hand, and mammary glands were fully evacuated to prevent sampling bias. Following collection, milk samples were placed directly into wet ice and transported from the procedure room to the wet lab where they were vortexed for 5 s, aliquoted into cryovials, and frozen at −80 °C. Milk collection procedures used in this study have been described in further detail elsewhere. At the 1-month time point, after the mother had recovered from sedation, mothers and infants were returned to their social group the same day. During peak lactation, between 3 and 4 months of infant age (mean ± SD = 109±10 days), infants and mothers were again captured between 7:30 and 9:00 AM and separated, and infants were relocated to a novel environment for 25h, during which infants’ behavioral responsiveness and temperament were assessed (,;; see below). Following 3.5–4h of milk accumulation, milk was again collected and handled using identical techniques as described for the earlier time point.

Milk cortisol

Cortisol concentrations in milk were measured using a modified radioimmunoassay for salivary samples previously validated for rhesus macaque milk. Once thawed, 200 µL of sample was diluted with 600 µL of distilled water (1:4 dilution) and centrifuged at 3000rpm for 10min (Sorvall ST40R). Centrifugation resulted in the separation of the aqueous component from suspended particles in milk and a floating lipid layer. Removal of lipids and suspended particles through centrifugation resulted in reduced cortisol concentrations that were 81% of whole milk values. Concentrations of cortisol in the aqueous component were estimated in duplicate using commercial coated tube RIA kits (Siemens Medical Solutions Diagnostics, Los Angeles, CA). Assay standards were diluted to concentrations ranging from 2.76 to 317.4 nmol/L; the modified assay displayed a linearity of 0.98 and a least detectable dose of 1.3854 nmol/L. Diluted samples and label were incubated at room temperature for 3h before gamma counter reading. Pooled samples were included for quality control purposes: the interassay coefficient of variation (CV) was 5.51% and intra-assay CV was 2.97%. The average ± SD intrasample CV (duplicate determinations of individual samples) was 2.03±1.7%.

Available milk energy

An index of AME was calculated as the product of milk energy density (kcal/g) and milk yield (g) for each mother at the 1- and 3.5-month time points. This index of AME represents relative differences in milk synthesis among mothers under controlled experimental conditions. Proximate analyses of milk composition (concentrations of fat, protein, and sugar) from the 2006 study season (N = 42) were conducted at the Nutrition Laboratory, Smithsonian National Zoological Park, Washington, DC, and reported previously. We measured fat concentration via a modified Rose-Gottlieb method, calculated protein based on crude nitrogen content, and sugar concentration from the phenol–sulfuric acid method described in precise detail elsewhere. Remaining aliquots of the 2006 samples were used to calibrate a MIRIS milk analyzer for macaque milk samples in the Comparative Lactation Laboratory, Harvard University. Following calibration, samples collected in the 2010 study season (N = 66) were assayed in duplicate on the MIRIS milk analyzer in concert with 610 additional samples for other ongoing studies. The mean ± SD CV of duplicate determinations in macaque milk for fat, protein, and sugar were 1.0±1.0%, 1.5±2.0%, and 1.0±1.0%, respectively. Pooled bovine whole milk samples were used as controls at the beginning and end of each assay run. Based on these bovine samples, the interassay CV for fat was 0.52%, for protein was 0.72%, and for sugar was 0.36%, and the intra-assay CV for fat was 1.65%, for protein was 1.24%, and for sugar was 1.38%. The gross energy of milk, also referred to as energy density, was calculated as 9.11 kcal/g for fat, 3.95 kcal/g for sugars, and 5.86 kcal/g for protein, which allowed for an estimate of the total energy density of milk (kcal/g). Milk yield was measured gravimetrically as total sample (g) obtained by full evacuation of milk from both mammary glands after a standard period of milk accumulation (3.5–4h). This method of estimating relative differences in milk production among individuals has been used for other primates, validated with doubly labeled water, and has been associated with infant mass and growth in the CNPRC population.

BBA and temperament

All 108 infant subjects were part of an ongoing BBA program at the CNPRC described in detail elsewhere. Briefly, cohorts of up to 8 animals at a time were relocated to an indoor testing area when infants were 3–4 months of age, and each animal in a cohort was housed in an individual holding cage (60cm × 65cm × 79cm, Lab Products, Inc., Maywood, NJ), containing a cloth diaper, a stuffed terrycloth duck, and a novel, manipulable object. Over the next 25-h period, behavioral data were collected in a variety of standardized situations (described in; ); at the conclusion of this period, infants were returned to their mothers, and mother–infant pairs were returned to their outdoor enclosures. The present study relied on measures of infant temperament that were obtained using subjective observer ratings, which reflected an overall “thumbnail” portrait of the animal’s functioning during the entire BBA: at the end of the 25-h period, an observer rated each infant using a list of 16 trait adjectives (, Table 3) and a 7-point Likert scale for each trait. Assessment of inter-rater agreement and reliability for the data collection has been previously published, and report details of the exploratory and confirmatory factor analyses that were performed on data from 1284 infants. These analyses revealed a 4-factor structure, each named for the adjective with the highest factor loading: “Vigilant” (vigilant, NOT depressed, NOT tense, NOT timid), “Gentle” (gentle, calm, flexible, curious), “Confident” (confident, bold, active, curious, playful), and “Nervous” (nervous, fearful, timid, NOT calm, NOT confident). The traits preceded by the word “not” reflect a negative loading in the factor analysis. Scales were constructed and z-scored, as previously described. Cronbach’s alpha for each dimension ranged from 0.6 to 0.9.

Statistical analysis

Descriptive statistics were calculated for cortisol in milk and are reported as raw values (nmol/L). Cortisol concentrations at early and peak lactation were not normally distributed after evaluation with a Shapiro–Wilk goodness-of-fit test and were subsequently log-transformed for statistical analysis. Milk parameters (cortisol and AME) at early and peak lactation did not differ between the 2006 and 2010 sampling seasons and so the 2 seasons were combined in analyses. Maternal age and parity were highly correlated (r 2 = 0.94, P < 0.0001). To avoid violation of collinearity during model construction, parity was used instead of age because of its greater biological relevance: behavioral care and physiological investment improve as a function of reproductive experience. The association between cortisol and milk fat and yield was evaluated using a multiple regression model in which time point (early vs. peak lactation) was nested within maternal ID as random effects to account for the repeated measures. To test outcome measures of cortisol in milk at each time point, infant temperament, and infant growth across time, multiple regression models were constructed using Akaike information criterion corrected for finite sample sizes (AICc) to retain the fewest parameters that appreciably explained variation in outcome measures. Exploratory analysis of temperament factors revealed high correlations among the 4 temperament factors. Only “Confident” and “Nervous” temperament factor z-scores are considered here because they reflected behavioral phenotypes previously associated with cortisol in milk; they also had the lowest correlation with one another among the temperament factors (r = −0.5). Models with infant temperament factor as the outcome variable were constructed independently for sons and daughters as sex differences in sensitivity to milk cortisol and critical windows of sensitivity were predicted. When the sample was divided by infant sex, maternal parity was dichotomized into “primiparous” and “multiparous” categories. Statistical analyses were performed using JMP Pro 10 (SAS Institute, Inc.) with the exception that calculation of the intraclass correlation on cortisol concentrations at early and peak lactation was conducted in R package. Significance was accepted at P ≤ 0.05.

Cortisol in milk

Cortisol concentrations in milk were highly variable across individuals (Table 1) and, to a lesser extent, across time within individual (intraclass correlation = 0.58, confidence interval: 0.45–0.71, N = 108, Figure 1). The concentration of fat in milk was positively associated with cortisol concentrations in milk (estimate ± standard error [SE] = 0.04±0.017, t = 2.1, P = 0.038, N = 108) as was protein concentration (estimate ± SE = 0.3±0.1, t = 2.8, P = 0.0064, N = 108). Milk yield was negatively associated with cortisol in milk (estimate ± SE = −0.02±0.006, t = −3.25, P = 0.0014, N = 108), as higher milk yield diluted the concentration of cortisol. Because cortisol in milk was associated with the caloric content in milk (fat and protein) and the volume of milk (yield), we used the aggregate measure of AME as a covariate during AICc model selection to evaluate the independent contributions of cortisol to infant outcomes.

Maternal characteristics and cortisol in milk

Parity was the only maternal characteristic that was significantly associated with cortisol concentrations in milk, and the relationship was negative: mothers of lower parity produced higher concentrations of cortisol in milk at both early (full model: adj. R 2 = 0.18, F 4,103 = 6.8, P < 0.0001, N = 108, Figure 2A) and peak lactation (full model: adj. R 2 = 0.26, F 5,102 = 8.5, P < 0.0001, N = 108, Figure 2B). Similarly, cortisol concentrations in milk decreased to a lesser extent across lactation for lower parity mothers than for higher parity mothers (full model: adj. R 2 = 0.15, F 4,103 = 5.66, P = 0.0004, N = 108, Figure 2C). These relationships were nonlinear and AICc model selection revealed slightly steeper slopes across early parities that were attenuated in high parity mothers (Figure 2). Maternal body mass had minimal influence on cortisol concentrations. While accounting for parity, heavier mothers had slightly lower cortisol concentrations in milk at peak lactation only (estimate ± SE = −0.07±0.04, t = −1.77, P = 0.08, N = 108), but this effect was nonsignificant. Maternal mass was not retained in models for cortisol concentrations at early lactation or in changes across lactation. Maternal rank, initially included, was removed as a predictor during AICc model selection (Table 2). Mean concentrations and change of cortisol concentrations in milk did not differ among high-, middle-, and low-ranking mothers (Table 2). Importantly, mothers of sons and mothers of daughters produced milk with the same cortisol concentrations at early and peak lactation and did not differ in the magnitude of change in cortisol concentration across lactation (Figure 3).

Mother’s milk and infant growth

Mother’s milk was a strong predictor of infant growth (grams per day). Infant growth, controlling for infant body mass at 1 month of age, was greater if cortisol concentration in milk was higher at peak lactation (estimate ± SE = 0.44±0.21, t = 2.15, P = 0.034) and as AME from the mother increased from early to peak lactation (estimate ± SE = 4.32±1.5, t = 2.9, P = 0.0044). In this multiple regression model, AICc retained 2 additional parameters although they were not statistically significant. Higher AME at early lactation (estimate ± SE = 0.04±0.02, t = 1.73, P = 0.09) and lower cortisol concentrations in milk at early lactation (estimate ± SE = −0.34±0.24, t = −1.44, P = 0.15) predicted greater infant daily growth (full model: adj. R 2 = 0.24, F 5,102 = 7.73, P < 0.0001, N = 108).

Infant confident and nervous temperament predicted by cortisol in milk and other parameters

Milk cortisol parameters predicted infant temperament factors although sons and daughters were differentially sensitive to their mother’s milk cortisol and demonstrated different critical windows of sensitivity. For daughters, Nervous temperament was positively related to absolute concentrations of cortisol in milk during early lactation (estimate ± SE = 1.00±0.29, t = 3.48, P = 0.001, N = 61; Figure 4A), whereas Confident temperament was negatively associated with cortisol concentrations obtained at peak lactation (estimate ± SE = −0.67±0.24, t = −2.8, P = 0.007, N = 61; Figure 4C). For sons, the direction and magnitude of the change in cortisol from early to peak lactation, and not absolute concentrations per se, predicted temperament. Specifically, increases in cortisol concentration predicted higher Nervous (estimate ± SE = 0.36±0.11, t = 3.27, P = 0.002, N = 47) and lower Confident (estimate ± SE = −0.44±0.17, t = −2.42, P = 0.02, N = 47) temperament at BBA for sons (Table 3).

Other parameters of maternal condition, milk synthesis, and infant condition also predicted infant temperament. However, the covariates retained by AICc model selection to predict temperament generally differed between sons and daughters. “Nervous” factor score for daughters was additionally sensitive to maternal rank. Daughters of low-ranking mothers were significantly more “Nervous” than were the daughters of high- and middle-ranking mothers (estimate ± SE = −0.27±0.13, t = −2.00, P = 0.05, N = 61, Table 3). Growth rate in sons was predictive of temperament; better growth predicted lower “Nervous” (estimate ± SE = −0.32±0.09, t = −3.66, P = 0.007, N = 47, Table 3) and higher “Confident” (estimate ± SE = 0.32±0.14, t = 2.38, P = 0.022, N = 47, Table 3) factor scores. Primiparity predicted higher Confident factor score in both sons and daughters and lower Nervousness factor score in sons. Lastly, stable AME from early to peak lactation predicted lower Nervous and higher Confident factor scores for sons (Table 3).

Collectively, the above parameters explained ~19% and ~11%, respectively, of the variance in daughters’ Nervous and Confident factor scores and ~41% and ~19% of the variance in sons, respectively (model adj. R 2 provided in Table 3). Exclusion of cortisol in milk parameters dramatically reduced the amount of variance explained by the multiple regression models (Table 3). Given that Nervous and Confidence factor z-scores were negatively correlated, we conducted post hoc analyses including one as a predictive parameter for the other. For Nervous factor, all previously associated milk, maternal, and infant characteristics were retained in models as in Table 3A, strengthening model fit (daughter model: F = 8.5, P < 0.0001, adj. R 2 = 0.27; son model: F = 13.3, P < 0.0001, adj. R 2 = 0.57). However, milk, maternal, and infant characteristics were not retained by AICc model selection in models for Confident factor z-score when Nervous factor z-score was included as a covariate.

DISCUSSION

Glucocorticoid concentrations in mother’s milk, independent of AME, were strongly associated with infant temperament in both sons and daughters. Generally, exposure to maternal-origin glucocorticoids via milk was associated with higher Nervous and lower Confident temperament factor scores. During the 25-h BBA, high Nervous animals retreat from others and outside disturbances, are hesitant to venture into new situations, and their fearfulness and timidity causes them to be easily alarmed. Previously, the BBA program has revealed that when confronted by a “human intruder,” high Nervous animals have higher frequencies of fear grimaces, threats, and barks and spend less time near the intruder. In contrast, high Confident animals are inquisitive, more readily explore new situations and investigate novel situations and objects, are energetic, engaging in more locomotor and object play, and behave in a fearless, bold, and daring manner.

The factors of Nervous and Confident are consistent, though not identical, with the bold–shy construct that is common in behavioral ecology and animal behavior. However, depending on social and ecological conditions—competition for resources and mates, predator density, infectious disease, and the personalities of other individuals—fitness correlates of nervousness and confidence are likely to be highly variable (reviewed in ). Across taxa, boldness is associated with higher reproductive success to a greater extent in males and among captive animals but is associated with reduced survival regardless of ecology. That meta-analysis, however, primarily used results from studies of subjects assessed in adulthood, after individuals had successfully survived early development when most mortality occurs. Mother’s milk, an obligate environmental input for developing mammals, may necessarily influence offspring behavioral reaction norms by providing the calories that fuel, and the hormones that influence, behavior in the context of the adaptively relevant environment—the mother.

Our results further indicate sex differences in the windows of sensitivity and the magnitude of sensitivity to maternal-origin glucocorticoids. Daughters were particularly sensitive to absolute concentrations of cortisol in mother’s milk at early and peak lactation: higher cortisol in milk at early lactation was predictive of greater Nervous temperament scores and higher cortisol at peak lactation was associated with lower Confident temperament scores. Daughters were particularly sensitive to cortisol ingested in milk, as few other parameters predicted temperament and explained relatively little of the variance compared with milk cortisol predictors. Sons, in contrast, were more Nervous and less Confident if cortisol concentration increased between early and peak lactation. Sons were particularly sensitive to dynamic signals—specifically changes in milk and their own growth across time—with identical parameters retained in models predicting Nervous and Confident outcomes. Notably these temperament factors, while correlated, had only the single trait adjective “confident” in common. Post hoc analyses in which Confident and Nervous factor scores were included among the predictors for the other in turn revealed that milk cortisol was strongly predictive of infant Nervous temperament even when controlling for Confident temperament factor (but not vice versa), suggesting that the association between milk cortisol and Confident temperament appeared to be mediated through the association with underlying attributes shared between Nervous and Confident factors.

Our results add to the growing literature showing that exposure to maternal glucocorticoids importantly contributes to phenotypic development of offspring. To date, most research has addressed exposure prenatally or prehatching in mammals, birds, fish, and reptiles (reviewed in;;;;; Larus michahellis,; Gasterosteus aculeatus,; Lacerta vivipara,; Niveoscincus ocellatus, ). Maternal glucocorticoids can exert sex-differentiated effects: exposure to elevated glucocorticoids reduced growth particularly in sons (Homo sapiens,; Ctenophorus fordi, ). However, little is known about the ingestion of maternal-origin glucocorticoids via milk. Our results are partially consistent with previous reports in rodents, primates, and humans by revealing an association between glucocorticoids in milk and behavioral phenotype and sex differences in sensitivity. However, unlike for rodents (reviewed in and ), glucocorticoids in macaque milk are associated with greater nervousness and lower confidence, more reminiscent of the recent study in humans. Importantly, our results diverge from our previous finding that cortisol in milk was positively associated with Confident temperament in sons (, in which AME was not considered) and our earlier result that absolute AME was positively associated with Confident temperament in infants (, in which cortisol was not considered). Here, we incorporated dynamic measures of mother’s milk, capturing time points, and changes between them, which were not explored in the previous studies. The substantially larger sample size additionally allowed us to consider more maternal and infant covariates as well as build statistical models for daughters and sons separately. Most importantly, we were able to simultaneously incorporate milk nutrition into our study of milk hormones. For sons especially, the dynamic changes in these parameters, which were not assessed previously, were most predictive of behavioral phenotype.

By simultaneously considering AME, cortisol in milk, and infant growth, we gain some insights into trade-offs for allocating milk energy between growth and behavioral activity and contribute a developmental perspective to the expanding literature on the relationship between metabolism and behavioral phenotype and behavioral reaction norms. If more nervous, less confident behavioral phenotypes have reduced behavioral activity budgets, this may facilitate the allocation of milk energy preferentially to growth, particularly for sons. Consistent with this interpretation was our finding that the dynamic increase in AME from early to peak lactation was more predictive of infant growth than was the absolute value of AME. This suggests that when more milk calories become available, growth is prioritized, but at least in sons, this is also associated with being more nervous and less confident. Higher cortisol at peak lactation was also associated with better daily growth in our study, similar to how glucocorticoids can accelerate offspring growth in squirrels (T. hudsonicus, ). Taken together, these findings suggest that in rhesus, maternal-origin cortisol influences trade-offs between growth and behavior, prioritizing growth by diverting energetic expenditure away from behavioral activity by programming a less exploratory, playful, and bold, but more nervous, fearful, and timid infant. Observations of infant behavioral phenotype within the social group, separate from BBA, will be important to clarify how temperament translates into behavioral activity budgets in a more naturalistic context.

This hormonal signature in milk that seemingly signaled “be fearful, prioritize growth” was produced by those mothers confronting crucial life-history trade-offs. Lower parity mothers produced higher cortisol concentrations in milk and showed less of a decrease in cortisol concentration across lactation. Further, controlling for parity, mothers of lower body mass also had slightly higher concentrations of milk cortisol at peak lactation, though not significantly so. Young mothers and poor condition mothers face the greatest challenges for sustaining lactation and produce lower AME. Young macaque mothers are typically still growing during the early years of their reproductive career and are rearing infants proportionally larger, relative to maternal mass, than are more reproductively experienced females. Fundamentally, young macaque mothers have more allocation demands, with fewer resources, to rear a relatively more costly infant. Moreover, young mothers have the greatest residual reproductive value and face substantial trade-offs between current and future reproduction. Depending on maternal baseline condition and availability of resources, mothers can become depleted during lactation, requiring recovery before subsequent reproduction (H. sapiens,;; Pan troglodytes,; Papio hamadryas anubis,; reviewed in ). Mothers with lower milk production and reduced somatic resources, due to poor condition or low parity, may be “programming,” through cortisol signaling, behaviorally cautious offspring that prioritize allocation of milk energy to growth but are otherwise energetically less costly. Indeed, experimentally elevated exposure to glucocorticoids via the egg reduced chick begging displays in yellow-legged gulls (L. michahellis, ). In the absence of experimental manipulations, however, the causal role of milk glucocorticoids in shaping these trade-offs in infant macaques remains speculative.

A trade-off that generates a high Nervous, low Confident behavioral phenotype, however, is not without potential long-term fitness costs. In our population of rhesus macaques, infants characterized by a nervous temperament have compromised glucocorticoid-mediated immune function and adult males characterized by low confidence had altered hypothalamic-pituitary-adrenal axis regulation. For long-lived mammals, maternal inputs may be less predictive of the environment that offspring will encounter in the future. However, maternal care and physiological investment during development is highly predictive of the mother’s capacity to sustain investment for the many months of lactation. As such, offspring can be expected to calibrate their development as a function of the resources available from the mother. This early canalization may not produce an adult optimized for maximal reproductive success, but rather a phenotype that is more likely to survive infancy/juvenility, a necessary prerequisite for reproductive success. For example, we can predict that high Nervous, low Confident animals are more hesitant to socially and nonsocially play, energetically expensive activities that may strain the energy available from mother’s milk. As play behavior is hypothesized to enhance behavioral flexibility as well as neural and cognitive development, such offspring may experience some deficits in juvenility and adulthood but may be more likely to survive infancy. Constituents and dynamics of milk may reflect, in part, adaptations in mothers operating to program a “cheaper” infant or adaptations in infants operating to optimally allocate resources transferred from the mother. More likely, adaptations are operating in both mothers and young, and they may not always be in harmony.

Our understanding of the mechanistic physiology associated with glucocorticoids in milk, while limited, can inform the above ultimate interpretations. Glucocorticoids are locally regulated within the mammary gland, are critical for lactogenesis, and prevent apoptosis of mammary gland cells. Although lower parity mothers produce milk with higher concentrations of cortisol across lactation, this may be due to mammary gland biology and not necessarily the psychological stress of motherhood for inexperienced females. The capacity to synthesize milk increases across parities due to the cumulative effects of sequential lactations on mammary gland architecture (Halichoerus grypus,; B. taurus,; ). Higher glucocorticoid activity in the mammary gland may, therefore, be compensatory or partially protective of the proportionally fewer cells in the mammary gland and pass into milk as a byproduct of mammary gland physiology. Moreover, cortisol concentrations in milk were lower at each additional parity, for the first 9 parities, further evidence that this effect is not specific to particularly “stressed” or suboptimal infant care of inexperienced mothers. Although maternal behavior is likely influencing behavioral phenotype of the infant independent of the physiological transfer of milk, inferences from breastfeeding and formula-feeding mothers suggest that glucocorticoids ingested via milk are more predictive of infant behavioral phenotype than are maternal circulating glucocorticoids.

Hormones in mother’s milk, including glucocorticoids, are likely to pass with appreciable bioactivity through the infant’s gastrointestinal tract due in part to its high permeability, especially in the neonate. Among rodents, expression of glucocorticoid receptors in the intestinal tract is highest during infancy but declines to adult levels after weaning, suggesting a specific role for binding glucocorticoids ingested via mother’s milk. Ingested glucocorticoids are implicated specifically in the maturation of the gastrointestinal tract in the neonate. Numerous bioactives in milk such as leptin, adiponectin, relaxin, tumor necrosis factor, and others have been linked to infant developmental trajectories. Glucocorticoids, given their diverse roles in metabolism, behavior, and immune function, have the potential to exert substantial effects on offspring phenotype.

In many taxa, mothers seemingly synthesize milk tailored to the sex of their young (H. sapiens,;; M. mulatta,,;; Myodes glareolus,; C. elaphus hispanicus,; Macropus eugenii,; B. taurus, ). However, in the present study, mothers of sons and mothers of daughters produced milk with the same cortisol concentrations at early and peak lactation and did not differ in the magnitude of change in cortisol concentration across lactation. Similarly, reported no differences in glucocorticoid concentration in milk for sons and daughters. These findings effectively highlight that the milk a mother synthesizes is only one half of a complex dynamic between mother and infant. Emerging data, including the results presented here, indicate that there are likely sex-specific mechanisms within infants that influence how bioactive constituents in milk are assimilated and utilized. In this way, infants must be viewed as active agents in their own development. Where the developmental priorities of males and females diverge, we can predict that sex-specific physiological and behavioral mechanisms have been favored by natural selection to facilitate sex-specific ontogeny.

The precise sex-specific mechanisms underlying the effects reported here in rhesus monkeys are not yet known. We expect that underlying differences in the distribution and density of glucocorticoid receptors in central tissues (as found in rodents: ) and in peripheral tissues, particularly the gastrointestinal tract, are key mediating mechanisms. Importantly, among rhesus macaques, sex-differentiated neurodevelopment has been described for neural regions that underlie memory and emotion processing, areas implicated in anxiety and nervousness. Our results indicate that absolute cortisol concentrations were associated with the temperament of daughters but that changing cortisol across time was associated with the temperament of sons. However, this difference may be in part attributable to our sampling regime at only 2, albeit important, time points in behavioral and neurobiological development, during infancy. There could very well be dynamic signals influencing daughters and static time points for sons not captured in the present study, and future research should integrate repeated measures of neurobiological and gastrointestinal development.

Several additional factors predicted infant temperament. Notably, sons of primiparous mothers were characterized as less nervous and more confident than were the sons of multiparous mothers. Daughters of primiparous mothers were characterized as more confident. This is seemingly in conflict with our interpretation that low parity mothers with fewer resources produce more nervous, less confident offspring. However, besides their reduced somatic resources, there is 1 additional feature of primiparous mothers that may be relevant—the lack of previous offspring. The presence of siblings is likely to influence the development of behavioral phenotype, especially in taxa in which older siblings are appreciably larger, more developed, and remain in close association with the mother and younger siblings. Although serving as a potential playmate, older siblings may present a risk and effectively be a deterrent from active exploration. We also found that daughters of low-ranked mothers were characterized as more nervous. This is consistent with the natural history of cercopithecines in which daughters inherit social rank from their mothers. Future studies of the development of behavioral phenotype should combine mother’s milk, temperament assessment, infant behavioral activity, and social interactions, especially with siblings, within the social group. Indeed, social experiences beyond the scope of the present study are expected to influence behavioral phenotype, but those experienced during infancy are fueled and framed by mother’s milk.

CONCLUSIONS

The maternal environment, physiological during fetal life and behavioral during infancy, has well-established influences on behavioral development. But an aspect of that maternal environment for mammals remains physiological postnatally as well: the nutrition and hormonal signaling provided through the milk she synthesizes during lactation. The transfer of that milk is behaviorally mediated through nursing dynamics negotiated between mother and infant. In this way, milk is at the intersection of maternal physiology and behavioral care. Just as individuals vary in their “mothering style,” there is substantial variation in milk composition and yield across individuals and across time within individual. Mother’s milk may inform trade-offs and transitions within a hierarchy of priorities during early life: survival, growth, and behavioral activity. The influence of mother’s milk on behavioral phenotype may be especially important among taxa in which mothers are continuously in proximity to their young, and social behavior contributes to fitness outcomes. Previous research has demonstrated that infant baboons suspend growth in favor of maintenance when mother’s milk synthesis is experimentally reduced. Here, we show evidence that infant growth may be prioritized over the development of an exploratory, playful, confident temperament and that cortisol ingested via mother’s milk seemingly plays a role in orchestrating this trade-off. The critical windows for these maternal effects were different between sons and daughters, likely reflecting sex-differentiated developmental trajectories and sensitivities. Importantly, these sex differences did not reflect differential cortisol signaling for sons and daughters. The previous studies of cortisol in milk have been presented through the lens of biopsychology; however, by expanding the perspective to incorporate behavioral ecology and life-history theory, we have a better understanding of the natural variation in milk synthesis and the integrated consequences for infant development.

FUNDING

This research was supported by the National Science Foundation (BCS-0921978 and BCS-0525025 to K.H.), the National Center for Research Resources at the National Institutes of Health (R24RR019970 to J.P.C., P51RR000169 to CNPRC), currently supported by the Office of Research Infrastructure Programs/OD at the National Institutes of Health (R24OD010962 to J.P.C., P51OD011107 to CNPRC).

References 156

  1. 1.

    Akaike H 1974 A new look at the statistical model identification. IEEE Trans Automat Control. 19:716–723.

    Not in our library

  2. 2.

    Akers RM 2002 Lactation and the mammary gland. Iowa: Iowa State Press.

    Not in our library

  3. 3.

    Anderson RR Sheffield LG 1983 Growth of guinea pig mammary glands through their first six lactations. J Dairy Sci. 66(1):29–34.

    Not in our library10.3168/jds.s0022-0302(83)81749-4

  4. 4.

    Angelucci L Patacchioli FR Chierichetti C Laureti S 1983 Perinatal mother-offspring pituitary-adrenal interrelationship in rats: corticosterone in milk may affect adult life. Endocrinol Exp. 17(3–4):191–205.

    Not in our library

  5. 5.

    Angelucci L Patacchioli FR Scaccianoce S Di Sciullo A Cardillo A Maccari S 1985 A model for later-life effects of perinatal drug exposure: maternal hormone mediation. Neurobehav Toxicol Teratol. 7(5):511–517.

    Not in our library

  6. 6.

    Badyaev AV 2002 Growing apart: an ontogenetic perspective on the evolution of sexual size dimorphism. Trends Ecol Evol. 17(8):369–378.

    Not in our library

  7. 7.

    Barker DJ 2002 Fetal programming of coronary heart disease. Trends Endocrin Metab. 13(9):364–368.

    Not in our library10.1016/s1043-2760(02)00689-6

  8. 8.

    Barrett KE Barman SM Boitano S Brooks H 2010 Chapter 21. Endocrine functions of the pancreas & regulation of carbohydrate metabolism. In: Barrett KE Barman SM Boitano S Brooks H, editors. Ganong’s review of medical physiology, 23e New York (NY): McGraw Hill [cited 2014 April 4]. Available from: https://emergencypedia.files.wordpress.com/2013/04/ganong-pdf.pdf.

    Not in our library

  9. 9.

    Bartol FF Bagnell CA 2012 Lactocrine programming of female reproductive tract development: environmental connections to the reproductive continuum. Mol Cell Endocrinol. 354(1):16–21.

    Not in our library10.1016/j.mce.2011.10.008

  10. 10.

    Benyshek DC 2013 The “early life” origins of obesity-related health disorders: new discoveries regarding the intergenerational transmission of developmentally programmed traits in the global cardiometabolic health crisis. Am J Phys Anthropol. 152(S57):79–93.

    Not in our library10.1002/ajpa.22393

  11. 11.

    Berg MN Dharmarajan AM Waddell BJ 2002 Glucocorticoids and progesterone prevent apoptosis in the lactating rat mammary gland. Endocrinology. 143(1):222–227.

    Not in our library10.1210/endo.143.1.8584

  12. 12.

    Berman CM 1980a Mother-infant relationships among free-ranging rhesus monkeys on Cayo Santiago: a comparison with captive pairs. Anim Behav. 28(3):860–873.

    Not in our library

  13. 13.

    Berman CM 1980b Early agonistic experience and rank acquisition among free-ranging infant rhesus monkeys. Int J Primatol. 1(2):153–170.

    Not in our library

  14. 14.

    Biro PA Stamps JA 2010 Do consistent individual differences in metabolic rate promote consistent individual differences in behavior? Trends Ecol Evol. 25(11):653–659.

    Not in our library10.1016/j.tree.2010.08.003

  15. 15.

    Brummelte S Lieblich SE Galea LA 2012 Gestational and postpartum corticosterone exposure to the dam affects behavioral and endocrine outcome of the offspring in a sexually-dimorphic manner. Neuropharmacology. 62(1): 406–418.

    Not in our library10.1016/j.neuropharm.2011.08.017

  16. 16.

    Brummelte S Schmidt KL Taves MD Soma KK Galea LA 2010 Elevated corticosterone levels in stomach milk, serum, and brain of male and female offspring after maternal corticosterone treatment in the rat. Dev Neurobiol. 70(10):714–725.

    Not in our library10.1002/dneu.20805

  17. 17.

    Burnham KP Anderson DR 2004 Multimodel inference understanding AIC and BIC in model selection. Socio Meth Res. 33(2):261–304.

    Not in our library

  18. 18.

    Burton T Killen SS Armstrong JD Metcalfe NB 2011 What causes intraspecific variation in resting metabolic rate and what are its ecological consequences? Proc R Soc B Biol Sci. 278(1724):3465–3473.

    Not in our library10.1098/rspb.2011.1778

  19. 19.

    Cadby CD Jones SM Wapstra E 2010 Are increased concentrations of maternal corticosterone adaptive to offspring? A test using a placentotrophic lizard. Funct Ecol. 24(2):409–416.

    Not in our library

  20. 20.

    Cameron EZ Linklater WL Stafford KJ Minot EO 2000 Aging and improving reproductive success in horses: declining residual reproductive value or just older and wiser? Behav Ecol Sociobiol. 47(4):243–249.

    Not in our library

  21. 21.

    Capitanio JP Mason WA Mendoza SP DelRosso L Roberts JA 2006 Nursery rearing and biobehavioral organization. In: Sackett GP Elias K, editors. Nursery rearing of nonhuman primates in the 21st century. New York (NY): Springer p. 191–214.

    Not in our library

  22. 22.

    Capitanio JP Mendoza SP Bentson KL 2004 Personality characteristics and basal cortisol concentrations in adult male rhesus macaques (Macaca mulatta). Psychoneuroendocrinology. 29(10):1300–1308.

    Not in our library10.1016/j.psyneuen.2004.04.001

  23. 23.

    Capitanio JP Mendoza SP Cole SW 2011 Nervous temperament in infant monkeys is associated with reduced sensitivity of leukocytes to cortisol’s influence on trafficking. Brain Behav Immun. 25(1):151–159.

    Not in our library10.1016/j.bbi.2010.09.008

  24. 24.

    Capitanio JP Mendoza SP Mason WA Maninger N 2005 Rearing environment and hypothalamic-pituitary-adrenal regulation in young rhesus monkeys (Macaca mulatta). Dev Psychobiol. 46(4):318–330.

    Not in our library10.1002/dev.20067

  25. 25.

    Careau V Réale D Humphries MM Thomas DW 2010 The pace of life under artificial selection: personality, energy expenditure, and longevity are correlated in domestic dogs. Am Nat. 175(6):753–758.

    Not in our library10.1086/652435

  26. 26.

    Careau V Thomas D Humphries MM Réale D 2008 Energy metabolism and animal personality. Oikos. 117(5):641–653.

    Not in our library

  27. 27.

    Careau V Thomas D Pelletier F Turki L Landry F Garant D Réale D 2011 Genetic correlation between resting metabolic rate and exploratory behaviour in deer mice (Peromyscus maniculatus). J Evol Biol. 24(10):2153–2163.

    Not in our library10.1111/j.1420-9101.2011.02344.x

  28. 28.

    Casolini P Cigliana G Alemà GS Ruggieri V Angelucci L Catalani A 1997 Effect of increased maternal corticosterone during lactation on hippocampal corticosteroid receptors, stress response and learning in offspring in the early stages of life. Neuroscience. 79(4):1005–1012.

    Not in our library10.1016/s0306-4522(96)00668-9

  29. 29.

    Catalani A Alemà GS Cinque C Zuena AR Casolini P 2011 Maternal corticosterone effects on hypothalamus–pituitary–adrenal axis regulation and behavior of the offspring in rodents. Neurosci Biobehav Rev. 35(7):1502–1517.

    Not in our library10.1016/j.neubiorev.2010.10.017

  30. 30.

    Catalani A Casolini P Cigliana G Scaccianoce S Consoli C Cinque C Zuena AR Angelucci L 2002 Maternal corticosterone influences behavior, stress response and corticosteroid receptors in the female rat. Pharmacol Biochem Behav. 73(1):105–114.

    Not in our library10.1016/s0091-3057(02)00755-4

  31. 31.

    Catalani A Casolini P Scaccianoce S Patacchioli FR Spinozzi P Angelucci L 2000 Maternal corticosterone during lactation permanently affects brain corticosteroid receptors, stress response and behaviour in rat progeny. Neuroscience. 100(2):319–325.

    Not in our library10.1016/s0306-4522(00)00277-3

  32. 32.

    Catalani A Marinelli M Scaccianoce S Nicolai R Muscolo LA Porcu A Korányib L Piazzac PV Angelucci L 1993 Progeny of mothers drinking corticosterone during lactation has lower stress-induced corticosterone secretion and better cognitive performance. Brain Res. 624(1):209–215.

    Not in our library10.1016/0006-8993(93)90079-3

  33. 33.

    Cerroni AM Tomlinson GA Turnquist JE Grynpas MD 2003 Effect of parity on bone mineral density in female rhesus macaques from Cayo Santiago. Am J Phys Anthropol. 121:252–268.

    Not in our library10.1002/ajpa.10238

  34. 34.

    Cetin I Alvino G 2009 Intrauterine growth restriction: implications for placental metabolism and transport. A review. Placenta. 30:77–82.

    Not in our library10.1016/j.placenta.2008.12.006

  35. 35.

    Champagne FA 2008 Epigenetic mechanisms and the transgenerational effects of maternal care. Front Neuroendocrinol. 29(3):386–397.

    Not in our library10.1016/j.yfrne.2008.03.003

  36. 36.

    Champagne FA 2014 Epigenetics of mammalian parenting. In: Narvaez D Valentino K Fuentes A McKenna J Gray P, editors. Ancestral landscapes in human evolution: culture, childrearing and social wellbeing. New York: Oxford University Press p. 18–37.

    Not in our library

  37. 37.

    Chapais B 1988 Experimental matrilineal inheritance of rank in female Japanese macaques. Anim Behav. 36(4):1025–1037.

    Not in our library

  38. 38.

    Clutton-Brock TH 1991 The evolution of parental care. Princeton (NJ): Princeton University Press.

    Not in our library

  39. 39.

    Coe CL Lubach GR 2000 Prenatal influences on neuroimmune set points in infancy. Ann NY Acad Sci. 917(1):468–477.

    Not in our library10.1111/j.1749-6632.2000.tb05411.x

  40. 40.

    Dantzer B Newman AE Boonstra R Palme R Boutin S Humphries MM McAdam AG 2013 Density triggers maternal hormones that increase adaptive offspring growth in a wild mammal. Science. 340(6137):1215–1217.

    Not in our library10.1126/science.1235765

All 156 references

Cited by papers we hold 1

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.