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Early life stress exacerbates the obesogenic and anxiogenic effects of a Western diet without worsening cardiac ischaemic tolerance in male mice

Published online by Cambridge University Press:  18 September 2024

Kai Robertson
Affiliation:
School of Pharmacy and Medical Science, Griffith University Gold Coast, Southport, QLD, Australia
Tia A. Griffith
Affiliation:
School of Pharmacy and Medical Science, Griffith University Gold Coast, Southport, QLD, Australia
Tessa J. Helman
Affiliation:
School of Pharmacy and Medical Science, Griffith University Gold Coast, Southport, QLD, Australia
Kyle Hatton-Jones
Affiliation:
School of Pharmacy and Medical Science, Griffith University Gold Coast, Southport, QLD, Australia
Saba Naghipour
Affiliation:
School of Pharmacy and Medical Science, Griffith University Gold Coast, Southport, QLD, Australia
Dylan A. Robertson
Affiliation:
School of Pharmacy and Medical Science, Griffith University Gold Coast, Southport, QLD, Australia
Jason N. Peart
Affiliation:
School of Pharmacy and Medical Science, Griffith University Gold Coast, Southport, QLD, Australia
John P. Headrick
Affiliation:
School of Pharmacy and Medical Science, Griffith University Gold Coast, Southport, QLD, Australia
Eugene F. Du Toit*
Affiliation:
School of Pharmacy and Medical Science, Griffith University Gold Coast, Southport, QLD, Australia
*
Corresponding author: Eugene F. Du Toit; Email: [email protected]
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Abstract

Early life stress (ELS) and a Western diet (WD) promote mood and cardiovascular disorders, however, how these risks interact in disease pathogenesis is unclear. We assessed effects of ELS with or without a subsequent WD on behaviour, cardiometabolic risk factors, and cardiac function/ischaemic tolerance in male mice. Fifty-six new-born male C57BL/6J mice were randomly allocated to a control group (CON) undisturbed before weaning, or to maternal separation (3h/day) and early (postnatal day 17) weaning (MSEW). Mice consumed standard rodent chow (CON, n = 14; MSEW, n = 15) or WD chow (WD, n = 19; MSEW + WD, n = 19) from week 8 to 24. Fasted blood was sampled and open field test and elevated plus maze (EPM) tests undertaken at 7, 15, and 23 weeks of age, with hearts excised at 24 weeks for Langendorff perfusion (evaluating pre- and post-ischaemic function). MSEW alone transiently increased open field activity at 7 weeks; body weight and serum triglycerides at 4 and 7 weeks, respectively; and final blood glucose levels and insulin resistance at 23 weeks. WD increased insulin resistance and body weight gain, the latter potentiated by MSEW. MSEW + WD was anxiogenic, reducing EPM open arm activity vs. WD alone. Although MSEW had modest metabolic effects and did not influence cardiac function or ischaemic tolerance in lean mice, it exacerbated weight gain and anxiogenesis, and improved ischaemic tolerance in WD fed animals. MSEW-induced increases in body weight (obesity) in WD fed animals in the absence of changes in insulin resistance may have protected the hearts of these mice.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press in association with The International Society for Developmental Origins of Health and Disease (DOHaD)

Introduction

Early life stress (ELS) or adversity is an important determinant of health and disease risk later in life. Reference Dong, Giles and Felitti1Reference Murphy, Cohn and Loria5 Such links underpin the Developmental Origins of the Health and Disease theory. Reference Arima and Fukuoka6 which is an extension of Barker’s thrifty phenotype hypothesis that also relates to maternal or prenatal determinants. Subsequent studies identify important influences of both pre- and early post-natal environments. Reference Hales and Barker7

The role of adverse early life experiences such as abuse and neglect in promoting different adult diseases is well appreciated. Reference Dong, Giles and Felitti1Reference Murphy, Cohn and Loria5,Reference Ilchmann-Diounou, Olier and Lencina8 Stressful or traumatic events during developmental stages of life have profound negative consequences in both the short- and long-term, Reference Nemeroff9 with compelling evidence ELS increases risks of cardiovascular disease Reference Dong, Giles and Felitti1,Reference Loria, Ho and Pollock4,Reference Murphy, Cohn and Loria5,Reference Thomas, Hyppönen and Power10,Reference Carroll, Gruenewald and Taylor11 and behavioural disorders, including: major depressive disorder (MDD), Reference Nemeroff9,Reference Syed and Nemeroff12Reference Famularo, Kinscherff and Fenton14 post-traumatic stress (PTSD), bipolar, and generalised anxiety disorders. Reference Afifi, Brownridge, Cox and Sareen15Reference Shackman, Shackman and Pollak21 Nonetheless, pathophysiological mechanisms linking ELS to co-morbid mood, metabolic, and cardiovascular disorders remain to be detailed. Importantly, how ELS interacts with and influences dietary or metabolic disease risk factors is unclear.

Both ELS and metabolic disease risks/disorders are strongly linked and prevalent. Reference Kaufman, Banerji and Shorman3,Reference Ilchmann-Diounou, Olier and Lencina8,Reference Thomas, Hyppönen and Power10 For example, a 2020 government report indicated that the incidence of child maltreatment in the USA was increasing, with almost 700,000 reported cases in 2018 – of these ∼60% involved neglect. 22 It has been documented that victims of such maltreatment – specifically neglect – are more likely to be overweight or obese in later life. Reference Ruiz and Font23

Approximately 60%–70% of the population of developed countries such as Australia, the United Kingdom, and the USA are overweight or obese. Reference Ogden, Carroll, Kit and Flegal24,Reference Ng, Fleming and Robinson25 Since obesity is a key risk-factor for cardiovascular disease Reference Sowers26 and myocardial infarction, Reference Yusuf, Hawken and Ounpuu27 together with type 2 diabetes Reference Maggio and Pi-Sunyer28 and mood disorders, Reference Faith, Calamaro, Dolan and Pietrobelli29 these comorbidities incur enormous health and socio-economic costs on society. Indeed, MDD and ischaemic heart disease – both linked to stress and dietary factors – have been identified as leading chronic disease burdens in recent years. Reference Vos, Lim and Abbafati30Reference Whooley and Wong33 Precisely how these two major risk factors interact in chronic disease development requires further interrogation.

Based on recent studies linking weight gain Reference Zheng, Manson and Yuan34Reference Sial, Gnecco and Cardona-Acosta36 to shifts in cognition, hippocampal glucocorticoid signalling, and affective state, Reference Sial, Gnecco and Cardona-Acosta36 we hypothesised that ELS and an obesogenic Western diet (WD) would positively interact in driving metabolic, behavioural, and myocardial risks or abnormalities. We investigate how ELS induced with maternal separation and early weaning (MSEW) influences cardiometabolic risk factors, behaviour/affective state, and myocardial function and ischaemic tolerance in euglycaemic lean, and insulin resistant obese, male mice.

Methods

Animal ethics and study design

Fifteen pregnant (embryonic day 15–18) female C57BL/6J mice were sourced from the Animal Resources Centre (ARC, Perth, Western Australia). Mice were housed in Green Line GM500 individually ventilated cages stored in DGM racks (Tecniplast S.p.A, Varese, Italy), under an artificial 12-hour day-night light cycle (7:00 a.m. – 7:00 p.m.) at 21°C (40% humidity) and had ad libitum access to water and standard rodent chow. Researchers were necessarily unblinded for the control and MSEW groups allocation, however the perfusionist was blinded to group allocations throughout the study. The sample size chosen for this study was guided by power analyses for Langendorff perfusion outcomes of left ventricular developed pressure (LVDP) recovery. The authors assert that all procedures contributing to this work comply with the ethical standards of the Australian code of practice for the care and use of animals for scientific purposes and was approved by the Animal Ethics Committee of Griffith University (MSC/02/19).

Animal groups

Pregnant female mice were monitored daily to confirm birth date of pups. Mouse pups were randomly assigned to two groups: offspring subject to daily MSEW (MSEW, n = 34); or offspring left undisturbed until weaning (CON, n = 33). At eight weeks of age, only male mice from each group were randomly assigned to two diet sub-groups; a diet representative of the modern Western diet (WD, n = 19; MSEW + WD, n = 19) or standard rodent chow (CON, n = 14; MSEW, n = 15) (Fig. 1).

Figure 1. Experimental groups. PD – postnatal day, w.o. – weeks old, CON – control group (standard rodent chow + standard development), MSEW – maternal separation group (standard rodent chow + maternal separation and early weaning), WD – Western diet group (fed a simulated WD). Made with BioRender.

Maternal separation and early weaning

Pregnant female mice produced litters of 1–7 pups, with day of birth defined as postnatal day 0. Pups were subjected to daily maternal separation in which the dams were removed from the cages for 3 h between 9:00 a.m. and 12:00 p.m. from postnatal day 2. Separated offspring cages were placed on heat mats set to ∼36°C whilst the dam was moved to a separate cage for the 3 h separation. At postnatal day 17, the dam was removed, and offspring prematurely weaned onto a soft standard rodent chow. Control mice were weaned 4 days later on postnatal day 21 (Fig. 2). Maternal separation and early weaning independently manifest increased anxiety-like behaviour and elevations in corticosterone levels in mice. Reference George, Bordner, Elwafi and Simen37 Metabolic changes have also been reported, including hyperglycaemia and insulin resistance. Reference Raff, Hoeynck and Jablonski38

Figure 2. Experimental timeline. PD – postnatal day, w.o. – weeks old. Made with BioRender.

Dietary composition and macronutrient distribution

Mice were provided ad libitum access to either a control diet (Irradiated Rat and Mouse Cubes, Specialty Feeds, Glen Forrest, Western Australia) or a high fat, high sugar obesogenic diet representative of the WD for 16 weeks (Table 1). Previous studies in our laboratory show this obesogenic diet causes increases in body weight, visceral fat accumulation, insulin resistance, and myocardial sensitivity to ischaemia-reperfusion injury in C57BL/J mice. Reference Du Toit, Tai and Cox39,Reference Russell, Griffith and Helman40

Table 1. Nutritional composition of animal diets

Values expressed per 100 g dry weight.

Behavioural analyses

Mouse behaviour was assessed using the open field test (OFT) and elevated plus maze (EPM) at 7, 15, and 23 weeks – these tests measure anxiety and exploratory behaviours in mice. Reference Seibenhener and Wooten41,Reference Walf and Frye42 Mice were placed in the study room (away from arenas) for 30 min to acclimate. A recovery period of 48 h was interposed between OFTs and EPMs, to limit potential influences of the first test on behaviour in the subsequent test.

Open field test

The arena was 70 × 70 × 36 cm (L × W × H). Mice were individually placed in the centre square and video-recorded for 20 min then placed back in its cage and the arena thoroughly cleaned with 80% ethanol between tests. The following behavioural parameters were measured: total distance travelled, average speed, number of entries into the centre square, elapsed time while in the centre square, and elapsed time in the peripheral zone. Locomotor behaviour can be measured by distance and average speed. Animals experiencing anxiety will present with less time and fewer entries into the centre square.

Elevated plus maze

The maze was 100 × 100 × 50 cm (L × W × H). The EPM was performed in accordance with the established methodology. Reference Walf and Frye42 Mice were individually placed in the centre of the maze (where the open and closed arms meet) and video-recorded for 5 min. The following markers of anxiety-like behaviour were quantified: ratio of entries into open arms/closed arms; ratio of time elapsed while in the open arms/closed arms; and number of head dips over the edge of an open arm. Mice experiencing elevated levels of anxiety present with less time and fewer entries into open arms of the maze. Head dipping can be considered as directed exploration and reflect decreased levels of anxiety.

Cardiometabolic risk measurements

Body mass: Total body weight was measured weekly using a laboratory scale (A&D Weighing GX-2000 precision scale, A&D Australasia Pty. Ltd, Adelaide, South Australia) from 4 weeks of age until euthanasia.

Serum lipids, glucose, and insulin At 7, 15, and 23 weeks, mice were fasted for 4 h before acquiring blood via tail bleeds. Tails were numbed with Lignocaine and Prilocaine, each at 2.5% w/w. Fasted blood glucose levels were measured using a glucometer (Accu-chek Performa glucometer; Roche, Indianapolis, USA). Whole blood was stored on ice for 55 ± 5 min before centrifugation at 1000 g for 10 min. Serum was collected and stored at −80°C until analysis. Randomly selected sub-sets of serum samples were subsequently quantified for triglyceride and insulin levels using enzyme-linked immunosorbent assays (ELISA) under manufacturer’s instructions (Triglyceride Quantification Colorimetric/Fluorometric Kit, BioVision, California, USA; Ultra-Sensitive Mouse Insulin ELISA Kit, Crystal Chem, Illinois, USA). To estimate insulin resistance, insulin and fasting blood glucose levels were used to calculate the HOMeostatic Assessment of Insulin Resistance (HOMA-IR) and the Quantitative Insulin-sensitivity ChecK Index (QUICKI).

Serum corticosterone

Whole blood was collected at 23 weeks, between 8:30 and 10:30 am, and centrifuged for serum collection (as previously mentioned), with serum stored at −80°C. A randomly selected sub-set of serum samples were analysed via ELISA, according to manufacturer’s instructions (Corticosterone ELISA kit, Enzo Life Sciences, New York, USA).

Cardiac function and ischaemic tolerance in Langendorff perfused hearts

Cardiac function and intrinsic tolerance to ischaemia-reperfusion were assessed using a Langendorff heart perfusion model detailed by us previously, Reference Du Toit, Tai and Cox39,Reference Russell, Griffith and Helman40,Reference Reichelt, Willems, Hack, Peart and Headrick43 At 24 weeks, mice were anaesthetised (intraperitoneal sodium pentobarbital injection, 60 mg kg−1). A surgical plane of anaesthesia was confirmed by assessing pedal withdrawal and tail pinch reflexes at 5-min intervals. Mice were euthanised by anaesthesia with pentobarbitone followed by thoracotomy and rapid excision of the heart into ice-cold Krebs Buffer, before Langendorff perfusion. The aorta was retrogradely perfused with modified Krebs-Henseleit buffer, gassed with 95% O2–5% CO2, maintained at 37°C (pH 7.4) and containing (in mM): 119 NaCl, 11 glucose, 22 NaHCO3, 4.7 KCl, 1.2 MgCl2, 1.2 KH2PO4, 1.2 EDTA, and 2.5 CaCl2. A fluid-filled balloon constructed from polyvinyl chloride film and connected to a pressure transducer for contractile assessment was placed in the left ventricle via an incision in the atrial appendage and inflated to an end-diastolic pressure (EDP) of 3-5 mmHg. Hearts were then immersed in perfusate in a water–jacketed bath at 37°C. Temperature of perfusate was continuously monitored with a thermal probe connected to a Physitemp TH-8 digital thermometer (Phyisitemp Instruments Inc., Clifton, NJ, USA). Coronary flow was measured using an ultrasonic flow-probe proximal to the aortic cannula and connected to a T206 flowmeter (Transonic Systems Inc., Ithaca, NY, USA). A 4-channel MacLab system (AD instruments Pty Ltd, Castle Hill, Australia) relayed to an Apple iMac collected and processed systolic pressure, end-diastolic pressure (EDP), coronary flow (CF), heart rate (HR), and the positive (+dP/dt) and negative (−dP/dt) differentials of pressure change over time, reflecting inotropic and lusitropic states.

After a 15 min equilibration period, hearts were assessed for normoxic (baseline) function for 10 min while paced at 420 beats.min−1 using an SD9 stimulator (Grass Instruments, Quincy, MA, ISA). Hearts with abnormal function (functional criteria outlined by us previously Reference Reichelt, Willems, Hack, Peart and Headrick43 ) were excluded from analysis. To initiate normothermic global ischaemia coronary perfusion was stopped for 25 min. Coronary flow was recommenced for 40 min, inducing aerobic reperfusion. Final post-ischaemic functional recoveries were assessed after 45 min reperfusion. Measures include HR, CF, EDP, systolic pressure, LVDP and +dP/dT, −dP/dT.

Statistical analyses

Statistical analyses were performed using GraphPad Prism version 9.5.1 for Windows (GraphPad Software, La Jolla California, USA). Shapiro-Wilks test determined all data were normally distributed. Two-way ANOVA with Sidak’s post-hoc test was used to assess differences between two groups with multiple time-points. Unpaired t-test with Welch’s correction was used to assess differences between two groups at a single time-point. All tests adhere to an alpha value of 0.05, notation was made where a P-value achieved <0.01, 0.001, or 0.0001.

Results

Body weight and weight gain

Body weight before WD feeding: Pups were not weighed for the first 4 weeks. At the end of 4 weeks., MSEW animals exhibited significantly higher body weights (by ∼10%) than control littermates (p < 0.001, Fig. 3). However, body weight subsequently normalised across the two groups from 5 weeks.

Figure 3. Body weight from 4 weeks to 8 weeks (prior to initiation of WD feeding in the WD subgroup). ***p < 0.001. Data presented as Mean ± SEM.

Abbreviations: CON, Control (n = 33); MSEW, Maternal separation and early weaning (n = 34).

Body weight after WD feeding: Transition to a WD markedly increased body weight compared with control diet mice (Fig. 4) – final weights in WD groups ranged from 40 to 45 g compared with up to 30 g in control diet animals. The pattern of weight gain in control diet mice was unaltered by MSEW (Fig. 4A). In contrast, MSEW significantly increased weight gain in WD fed mice (p < 0.001). This obesogenic effect of MSEW was evident within 4 weeks of WD feeding (Fig. 4B).

Figure 4. Body weight from 8 weeks to 24 weeks (after initiation of WD feeding in the WD subgroup). **p < 0.01, ***p < 0.001. Data presented as mean ± SEM.

Abbreviations: CON, Control (n = 14); MSEW, Maternal separation and early weaning (n = 15), WD, Western diet (n = 19), MSEW + WD (n = 19).

Circulating glucose, insulin, triglyceride, and corticosterone levels

Blood biochemistry before WD feeding: Insulin levels, HOMA-IR, and QUICKI values were similar in CON and MSEW animals prior to introduction of the WD, although MSEW reduced fasted blood glucose at 7 weeks (Table 2). Serum triglyceride concentrations were increased at 7 weeks in MSEW vs. CON mice (p < 0.05), while fasted serum corticosterone levels were unaltered by MSEW (Table 2). An age-dependent fall in corticosterone was evident across all groups by 23 weeks, with levels <1500 pg/mL (Fig. 3).

Table 2. Fasted blood biochemistry and serum analyses at 7 weeks

After MSEW exposure and before WD introduction. Data expressed as Mean ± SEM, *p < 0.05. BGL – blood glucose level, HOMA-IR – homeostatic assessment of insulin resistance, QUICKI – quantitative insulin-sensitivity check index, CON – Control, MSEW – Maternal separation and early weaning.

Blood biochemistry after WD feeding: An initial MSEW-dependent reduction in blood glucose was lost over time, with a significant elevation in MSEW vs. CON mice evident at 23 weeks (8.9 ± 0.4 vs. 7.8 ± 0.3 mmol/L, p < 0.05; Fig. 5A). There was also evidence of emerging insulin insensitivity at 23 weeks (Fig. 5B), as indicated by lower QUICKI values in MSEW mice (p < 0.05). Conversely, fasted blood glucose and insulin levels, and insulin sensitivity were unaltered by MSEW in WD mice (Fig. 5). Fasted serum corticosterone levels were unaltered by MSEW in both control and WD groups (Fig. 5F).

Figure 5. Blood biochemistry and serum analyses (at 23 weeks). Data presented as Mean ± SEM. *p < 0.05. BGL – blood glucose levels, HOMA-IR – homeostatic assessment of insulin resistance, QUICKI – quantitative insulin-sensitivity check index, CON – Control, MSEW – Maternal separation and early weaning,, WD – Western diet.

Behavioural responses

OFT outcomes: MSEW increased open field activity at 7 weeks (prior to diet changes). Distance (9406 ± 207 cm), speed travelled (7.9 ± 0.2 cm/s) and centre square entries (34 ± 2) increased significantly with MSEW compared to CON mice (8207 ± 247 cm, 6.9 ± 0.2 cm/s and 27 ± 2, respectively, p < 0.05; Fig. 6). Despite increased entries, time spent in the centre square was unchanged (Fig. 6C), consistent with a general increase in locomotor activity rather than select change in thigmotaxis. At 15 and 23 weeks there were no detectable differences in behaviour between groups, with MSEW not influencing final behaviour at 23 weeks in either CON or WD mice (Fig. 7).

Figure 6. Open field test outcomes (at 7 weeks, pre-dietary intervention) (a) Distance travelled after 20 min. (b) Number of centre square entries. (c) Duration in the centre square (seconds). (d) Average movement speed. Data presented as Mean ± SEM. *p < 0.05, ****p < 0.0001. CON – Control (n = 26). MSEW – Maternal separation early weaning (n = 32).

Figure 7. Open field tests outcomes (at 23 weeks) (a) Time duration spent in the centre square. (b) Number of centre square entries. (c) Distance travelled after 20 min (d) Average speed. Data presented as Mean ± SEM. CON – Control ( n = 14), WD – Western diet ( n = 17), MSEW – Maternally separated early weaning (n = 12), MSEW + WD (n = 17).

EPM outcomes: No differences in EPM measures were evident between groups at 7 and 15 weeks (Fig. 8). At 23 weeks, most EPM measures trended towards lower values in MSEW + WD mice, including fewer open arm entries than CON animals (p < 0.05, Fig. 9A). The ratio of open:closed arm entries was reduced by MSEW specifically in WD mice (MSEW + WD: 0.23 ± 0.05 vs. WD: 0.47 ± 0.07, p < 0.01, Fig 9B). All other EPM measures were not significantly modified (Fig 9).

Figure 8. Elevated plus maze outcomes (at 7 weeks). (a) Number of entries to the open arm after 5 min. (b) A ratio of open arm entries to closed arm entries. (c) Time duration spent on the open arm. (d) A ratio of time spent on the open arm over the time spent on the close arm. (E) Number of head dips performed. Data presented as Mean±SEM. CON – Control (n = 31), MSEW – Maternal separation early weaning (n = 29).

Figure 9. Elevated plus maze outcomes (at 23 weeks). (a) Number of entries to the open arm after 5 min. (b) A ratio of open arm entries to closed arm entries. (c) Time duration spent on the open arm. (d) A ratio of time spent on the open arm over the time spent on the close arm. (e) Number of head dips performed. Data presented as Mean ± SEM. **p < 0.01, CON – Control (n = 10), MSEW – Maternal separation early weaning (n = 14). WD – Western diet (n = 18), MSEW + WD (n = 14).

Heart weights and pre- and post-ischaemic cardiac function

Heart weights: Final heart weights, expressed as whole dry weight or as a ratio to body weight, were unaltered by MSEW in both the control diet and WD mice (Fig. 10A & B).

Figure 10. Heart weights. (a) Heart weight. (b) HX:BX - heart weight/ body weight ratio. Data presented as Mean ± SEM, CON – Control (n = 6), MSEW – Maternal separation early weaning (n = 6), WD – Western diet (n = 6), MSEW + WD (n = 12).

Pre-ischaemic and post-ischaemic cardiac function: pre-ischaemic function was unaltered across groups, including comparable LV pressure development, dP/dt, and coronary flows (Table 3). Similarly, no significant differences in post-ischaemic function were detected with MSEW alone, though MSEW significantly improved contractility (MSEW + WD: 3198 ± 171 vs. WD: 2723 ± 110 mmHg/s, Fig. 11E) and recovery of left ventricular developed pressure (MSEW + WD: 61.7 ± 2.9 vs. WD: 51.9 ± 2.5%, Fig. 11B) in WD-fed groups. Ischaemic contracture development, including peak contracture, time to onset of, and peak contracture, was also comparable across groups (Fig. 12).

Table 3. Baseline perfusion measurements

LVDP = left ventricular developed pressure, dP/dT = change in pressure / change in time. Data presented as Mean ± SEM, CON - control (n = 6), MSEW - Maternal separation early weaning (n = 6), WD - western diet (n = 6), MSEW + WD (n = 12).

Figure 11. Post-ischaemic functional recoveries in perfused hearts. At 40 m reperfusion: (a) LVDP, (b) LVDP recovery, (c) End-diastolic pressure, (d) Systolic pressure, (e) Positive change in pressure over time, (f) Negative change in pressure over time, (g) Coronary flow, (h) Coronary flow per gram of heart weight. CON – control, MSEW – Maternal separation and early weaning, WD – Western diet. N = 6 for CON, MSEW, and WD. N = 12 for MSEW + WD. Data presented as Mean ± SEM. *p < 0.05.

Figure 12. Rate and extent of ischaemic contracture in perfused hearts. (a) Peak contracture. (b & c) Time to contracture and time to peak contracture. CON – control, MSEW – maternal separation, WD – western diet. N = 6 for CON, MSEW, and WD. N = 12 for MSEW + WD. Data presented at Mean ± SEM.

Markers of ischaemic injury

Total coronary effluent LDH levels after 40 minutes reperfusion were higher in WD fed animals (WD, n = 6: 7.03 ± 0.98 IU/g; MSEW + WD, n = 8: 7.07 ± 1.31 IU/g) than animals fed standard rodent chow (CON, n = 6: 4.60 ± 0.71 IU/g, MSEW, n = 6: 3.47 ± 0.62 IU/g) however MSEW did not significantly increase coronary effluent LDH levels in either the lean or obese mice.

Discussion

Understanding how ELS impacts behaviour, metabolism, and cardiac health can enable and underpin improved approaches to managing mental and cardiovascular health of youth suffering increased allostatic loads as a result of early life adversity. The data presented here shows that ELS may have effects on health in later life, dependent upon diet. As expected, the WD has largely increased body weight and caused insulin resistance, and hypertriglyceridaemia. However, this study focused on how ELS interacted with a WD rather than known effects of the WD itself. Early effects of ELS include increased locomotor activity and shifts in blood glucose and triglycerides shortly after ELS induction, followed by the later emergence of hyperglycaemia in animals on standard rodent chow but not the WD. Importantly, ELS/MSEW potentiated the influences of a WD on body weight gain and anxiety-like behaviour but not insulin resistance in adult mice. Paradoxically, these adverse body weight and behavioural changes induced by ELS in WD fed animals, were associated with improved post-ischaemic functional outcomes in these obese, insulin resistant mice.

Early life stress influences WD–induced behavioural changes

Childhood maltreatment, including parental neglect/abuse, poverty, neighbourhood violence, and bullying, may interact in promoting both mood and cardiometabolic disorders. Reference Afifi, Brownridge, Cox and Sareen15Reference Lukkes, Mokin, Scholl and Forster19 Maternal separation also promotes mood disorders Reference Walf and Frye42,Reference Millstein and Holmes44Reference Jedd, Hunt and Cicchetti46 and is employed in animal models to mimic early life adversity. Reference Wang, Levine, Avila-Quintero, Bloch and Kaffman47,Reference Carlyle, Duque and Kitchen48 We used MSEW to mimic ELS, previously shown to elicit sustained anxiety-like behaviour in C57BL/6J mice. Reference George, Bordner, Elwafi and Simen37 Although mice subjected to MSEW did not exhibit early anxiety-like behaviour at 7 weeks (when locomotor behaviour in the open field appeared to be increased), significant anxiety-like behaviour was evident at 23 weeks. Both anxiogenic and anxiolytic outcomes have been documented with MSEW, Reference George, Bordner, Elwafi and Simen37,Reference Millstein and Holmes44,Reference McCauley, Kern and Kolodner45 however, this is the first study to reveal a transition from early hyperactivity to anxious behaviour later in life, albeit in mice fed a WD.

While C57BL/6J mice subjected to 4–8 h of maternal separation per day in the study of George et al. (2020) also increased locomotor activity in the open field, this was associated with increased time in the closed arm and fewer entries into the open arm of the EPM. Reference George, Bordner, Elwafi and Simen37 Here, MSEW alone did not worsen anxiety like-behaviour in otherwise healthy animals (only in WD mice). A potential factor contributing to these differing is animal age. George et al. (2020) assessed behaviour at postnatal day 65 (∼9 weeks) compared to 15 and 23 weeks here. Reference George, Bordner, Elwafi and Simen37 A systematic review and meta-analysis indicates that maternal separation may increase defensive but not exploratory behaviours. Reference Wang, Levine, Avila-Quintero, Bloch and Kaffman47 As with other reviews, it was concluded that lack of standardisation in maternal separation protocols underpins heterogenous study outcomes. Reference Lehmann and Feldon49,Reference Murthy and Gould50

Previous studies also demonstrate strong associations between obesity and mood disorders, Reference Du Toit, Tai and Cox39,Reference Luppino, de Wit and Bouvy51,Reference Dixon, Dixon and O’Brien52 with diet or genetically induced obesity anxiogenic in rodents. Reference Ogrodnik, Zhu and Langhi53Reference Van Leuven, Carey, Squiccimara and Pintea58 Our results corroborate these associations and support a synergistic effect of MSEW and a WD on anxiogenesis. Highly variable and sometimes opposing interactions between stress and WD feeding have been reported, for example a palatable cafeteria diet may ameliorate anxious behaviour induced by maternal separation. Reference Maniam and Morris59 Palatability may itself be a complicating factor, with sweet and/or fatty foods potentially countering affective disturbances through reward circuits. Reference Maniam and Morris59,Reference Desmet and Schifferstein60 The cafeteria diet itself differs considerably from the WD here, in terms of both macro- and micro-nutrient composition. Studies of later life stress similarly report variable outcomes, including additive or synergistic impacts of chronic stress and a WD Reference Du Toit, Tai and Cox39,Reference de Sousa Rodrigues, Bekhbat and Houser61 vs. counteracting effects. Reference Maniam and Morris59,Reference Egan, Seemiller, Packard, Solomon and Ulrich-Lai62Reference Paternain, Martisova and Milagro65 The current data support a potentially synergistic influence of ELS on WD-dependent anxiogenesis.

Early life stress increases susceptibility to WD-induced weight gain

We have previously shown that the WD increases body weight and insulin resistance in rodents Reference Du Toit, Tai and Cox39,Reference Russell, Griffith and Helman40,Reference Donner, Headrick, Peart and du Toit66Reference du Toit, Smith and Muller68 though we have not focussed on the WD–induced changes in this study but rather the interplay of such changes in the presence of ELS. There is evidence ELS predicts obesity in adulthood, Reference Wiss and Brewerton69 consistent with the marked increase in WD-induced weight gain in mice subjected to MSEW. Murphy et al’ (2017) assessed cardiometabolic risk in male rats fed a high–fat diet and observed no changes to body weight. Reference Murphy, Herald and Wills70 The present study uniquely also used early weaning while Murphy et al’ (2017) did not, indicating that early weaning may play an important role in the exacerbated weight gain observed here. Although the mechanism for ELS dependent weight gain has not been established, humans exposed to ELS exhibit a greater preference for calorie dense foods. Reference Hemmingsson71 and an association between ELS and food addiction has been identified in individuals with high BMI. Reference Osadchiy, Mayer and Bhatt72 Similarly, exposure of rats to MSEW increases consumption of palatable foods in later-life. Reference de Souza, da Silva and de Matos73 Although we did not document food intakes in mice studied here, body weight gains documented in the WD fed animals suggest a possible increased intake of our calorie dense food in MSEW animals. An increase in corticotropic releasing hormone and corticosterone predicted with MSEW, may also promote compulsive eating of palatable foods. Reference Cottone, Sabino and Roberto74 We only assessed resting corticosterone levels at the end of the study (20 weeks after MSEW) and found no significant differences between groups. These observations are however in agreement with reports indicating that resting corticosterone levels normalise quickly post stress. Reference Thorpe, Gould, Borman and deCatanzaro75 A 48 h rest period was given between the EPM and blood collection and may explain why MSEW + WD animals exhibited greater anxiety responses in the EPM when compared to WD animals despite similar resting corticosterone levels. It would be useful to assess corticosterone reactivity to acute stressors, which may be augmented by ELS. Reference Dandi, Kalamari and Touloumi76 Our current data suggest an increased vulnerability to WD feeding may be an important mechanism linking ELS to both mood and cardiometabolic disorders.

The basis of the early increase in body weight immediately after weening is unknown, though a recent study reports that offspring of dams subjected to prenatal stress exhibit a preference for sweetened milk consumption at postnatal day 3. Reference Purcell, Sun and Pass77 Additionally, ELS may increase preference for obesogenic Reference Miller, Gearhardt and Retzloff78 and palatable comfort foods. Reference Miller, Gearhardt and Retzloff78,Reference Machado, Dalle Molle and Laureano79 While the stressors differ, it is possible maternal stress induced by the MSEW may increase pup suckling and milk consumption (together with later consumption of palatable foods).

Early life stress promotes hyperglycaemia and insulin resistance in later life

It is well established that calorie-rich diets induce insulin resistance in humans and rodents. Reference Russell, Griffith and Helman40,Reference Donner, Headrick, Peart and du Toit66,Reference Donner, Elliott, Beck, Bulmer and Du Toit67,Reference Parry, Woods, Hodson and Hulston80Reference Wondmkun82 Interestingly, while MSEW alone disturbed glucose homeostasis, it did not exacerbate WD-dependent changes. The modest hyperglycaemia with MSEW was associated with a reduced QUICKI, though not HOMA-IR (p = 0.075). These findings align with literature regarding ELS and long-term impairment of glycaemic control. Reference Kaufman, Banerji and Shorman3,Reference Ilchmann-Diounou, Olier and Lencina8 While speculative, MSEW induced hyperglycaemia may be a consequence of prolonged effects of MSEW on the HPA-axis. We cannot exclude a possible role for broadly increased food consumption in MSEW dependent hyperglycaemia, consistent with early elevations in plasma triglycerides and body weight that may reflect increased post-weening feeding. Reference Iwasaki, Inoue, Kiriike and Hikiji83 This in turn may involve ELS related elevations in CRH that promote compulsive palatable food consumption. Reference Cottone, Sabino and Roberto74

Cardiac influences of diet and ELS

Heart weight changes may match or lag behind body weight gain in uncomplicated Reference Iacobellis84,Reference Iacobellis, Ribaudo and Leto85 or short-term obesity, Reference Medford, Cox, Miller and Marsh86 while hypertension and other changes with chronic, severe obesity can induce pathological hypertrophic growth. Reference Alpert, Lambert and Panayiotou87Reference Wong, O’Moore-Sullivan and Leano89 Interestingly, MSEW + WD had no effect on heart:body weight ratio, despite a WD-dependent increase in body weight.

Neither the WD nor MSEW modified baseline heart function in obese or lean mice. To the best of our knowledge, this study is the first to assess the combined effects of MSEW and an obesogenic WD on myocardial ischaemic tolerance. Although not statistically interrogated in the current study, it seems the WD caused the anticipated increase in insulin resistance and a marginal decrease in LVDP recovery in the hearts from these obese animals when compared to CON diet animals. While we predicted adverse effects of ELS and a WD on myocardial ischaemic tolerance, consistent with synergistic effects of chronic stress and a WD in adult mice, Reference Du Toit, Tai and Cox39,Reference Scheuer and Mifflin90,Reference Rorabaugh, Krivenko and Eisenmann91 MSEW appeared to paradoxically improve post-ischaemic contractile function recoveries in WD-fed mice. Previous studies in our laboratory indicate that insulin resistance is an important determinant of myocardial sensitivity to ischaemia/reperfusion injury, Reference du Toit, Smith and Muller68,Reference Wensley, Salaveria, Bulmer, Donner and du Toit92,Reference Oi, Donner and Peart93 with a significant ‘threshold’ insulin resistance that may not be reached here required for emergence of such adverse effects. Reference Donner, Headrick, Peart and du Toit66 In one of our studies, obesity in aged insulin–insensitive rats protected the ischaemic heart. Reference Donner, Headrick, Peart and du Toit66 While the MSEW + WD animals in the current study were more obese than the WD animals, the WD and MSEW + WD animals had similar levels of insulin resistance which may explain why we saw improved post ischaemic outcomes in the MSEW + WD animals. Increases in body weight without changes in insulin resistance may improve reperfusion injury salvage kinase/nitric oxide synthase signalling and reduce ischaemia and reperfusion injury. Reference Donner, Headrick, Peart and du Toit66

Limitations of the present study

One limitation of the present study is that we did not assess corticosterone levels in weanlings immediately after the MSEW, when stress hormone levels are likely elevated. This was due to the fragility of the pups and our inability to obtain adequate blood sample volumes for the corticosterone assay in weanlings. Another limitation is the absence of females: while practical constraints limited capacity to assess outcomes in both sexes, such analysis is necessary in future work. The stress-dependence of both mood and cardiovascular disorders differs between the sexes, with women more susceptible to mood disturbances Reference Kessler94,Reference Kessler, McGonagle, Swartz, Blazer and Nelson95 and stress-related coronary ischaemia. Reference Vaccarino, Shah and Rooks96 A recent study has reported that compared to people who report no adverse experiences, females and males that experienced more than two adverse childhood experiences were 4-times and 3.4-times more likely to develop mood disorders, respectively. Reference Ijeaku, Osei, Cooper, Moss and Deas97 Murphy et al. (2017) assessed cardiometabolic risk in response to ELS protocols with a subsequent high–fat diet intervention in male and female animals. In their study, male rats were unaffected by ELS, but female rats were susceptible to increased weight gain and reduced insulin sensitivity. Metabolic changes induced by ELS were abolished with a corticosterone synthase inhibitor indicating metabolic impairments were potentially corticosterone driven in female rats. Murphy et al’s findings support what is seen in humans where females appear to be more susceptible to stress-related illness. Conversely, Ho et al. (2016) observed increased aortic superoxide production in male mice, but not females and concluded that endothelial dysfunction may contribute to cardiovascular risk in ELS sufferers. Reference Ho, Burch and Musall98 Thus, while the present findings implicate a sensitising effect of MSEW on WD dependent anxiogenesis and obesogenesis in males with paradoxical improvements to ischaemic tolerance, it is likely that the female mice may respond differently. Reference Murphy, Herald and Wills70

Finally, analysis of food consumption would improve interpretation of the body weight changes observed. Consumption of palatable foods post-stress protocols, including maternal separation have been documented and confirmed hyperphagia would have provided clarity on ELS sustained effects on WD-dependent weight gain, immediate post-MSEW weight gain and hypertriglyceridemia, and later-life MSEW induced hyperglycaemia.

Concluding remarks

The present study demonstrates that stress in early life may increase fasting glucose and insulin insensitivity in later life, and significantly enhances vulnerability to WD-induced obesity and anxiety in adult male mice. Such outcomes confirm the importance of early life adversity or stress in determining mood and cardiometabolic disease risks in adult life. While these data are consistent with an increased risk of cardiometabolic disease in later life, MSEW paradoxically improved cardiac ischaemic tolerance in obese mice, albeit a modest effect. Future studies should address the sex dependence of this pro-disease effect, and whether additional behavioural or cardiometabolic outcomes emerge later in life, for example influencing ageing dependent deterioration/dysfunction.

Data availability statement

All data is available from the corresponding author upon reasonable request.

Acknowledgements

All contributors are authors of this paper.

Author contribution

KR, EFDT, and JPH contributed to the conception and design, acquisition and interpretation of data, drafting, and editing of the manuscript. KR, TAG, TH, KH, SN, DAR, and JNP contributed to the acquisition, analysis, and interpretation of data, reviewed and edited the manuscript. KR, EFDT, and JPH are the guarantors of this work.

Financial support

The work was supported by a seed grant and HDR student funds from Griffith University.

Competing interests

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

Dong, M, Giles, WH, Felitti, VJ, et al. Insights into causal pathways for ischemic heart disease: adverse childhood experiences study. Circulation. 2004; 110(13), 17611766.CrossRefGoogle ScholarPubMed
Eriksson, M, Raikkonen, K, Eriksson, JG. Early life stress and later health outcomes--findings from the Helsinki Birth Cohort Study. Am J Hum Biol. 2014; 26(2), 111116.CrossRefGoogle ScholarPubMed
Kaufman, D, Banerji, MA, Shorman, I, et al. Early life stress and the development of obesity and insulin resistance in juvenile bonnet macaques. Diabetes. 2007; 56(5), 13821386.CrossRefGoogle ScholarPubMed
Loria, AS, Ho, DH, Pollock, JS. A mechanistic look at the effects of adversity early in life on cardiovascular disease risk during adulthood. Acta Physiol (Oxf). 2014; 210(2), 277287.CrossRefGoogle Scholar
Murphy, MO, Cohn, DM, Loria, AS. Developmental origins of cardiovascular disease: impact of early life stress in humans and rodents. Neurosci Biobehav Rev. 2017; 74(Pt B), 453465.CrossRefGoogle ScholarPubMed
Arima, Y, Fukuoka, H. Developmental origins of health and disease theory in cardiology. J Cardiol. 2020; 76(1), 1417.CrossRefGoogle ScholarPubMed
Hales, CN, Barker, DJ. The thrifty phenotype hypothesis. Br Med Bull. 2001; 60(1), 520.CrossRefGoogle ScholarPubMed
Ilchmann-Diounou, H, Olier, M, Lencina, C, et al. Early life stress induces type 2 diabetes-like features in ageing mice. Brain Behav Immun. 2019; 80, 452463.CrossRefGoogle ScholarPubMed
Nemeroff, CB. Paradise lost: the neurobiological and clinical consequences of child abuse and neglect. Neuron. 2016; 89(5), 892909.CrossRefGoogle ScholarPubMed
Thomas, C, Hyppönen, E, Power, C. Obesity and type 2 diabetes risk in midadult life: the role of childhood adversity. Pediatrics. 2008; 121(5), e1240e9.CrossRefGoogle ScholarPubMed
Carroll, JE, Gruenewald, TL, Taylor, SE, et al. Childhood abuse, parental warmth, and adult multisystem biological risk in the Coronary Artery Risk Development in Young Adults study. Proc Natl Acad Sci. 2013; 110(42), 1714917153.CrossRefGoogle ScholarPubMed
Syed, SA, Nemeroff, CB. Early life stress, mood, and anxiety disorders. Chronic Stress (Thousand Oaks). 2017; 1, 247054701769446.CrossRefGoogle ScholarPubMed
Green, JG, McLaughlin, KA, Berglund, PA, et al. Childhood adversities and adult psychiatric disorders in the national comorbidity survey replication I: associations with first onset of DSM-IV disorders. Arch Gen Psychiatry. 2010; 67(2), 113123.CrossRefGoogle ScholarPubMed
Famularo, R, Kinscherff, R, Fenton, T. Psychiatric diagnoses of maltreated children: preliminary findings. J Am Acad Child Adolesc Psychiatry. 1992; 31(5), 863867.CrossRefGoogle ScholarPubMed
Afifi, TO, Brownridge, DA, Cox, BJ, Sareen, J. Physical punishment, childhood abuse and psychiatric disorders. Child Abuse Negl. 2006; 30(10), 10931103.CrossRefGoogle ScholarPubMed
Cartwright-Hatton, S, McNicol, K, Doubleday, E. Anxiety in a neglected population: prevalence of anxiety disorders in pre-adolescent children. Clin Psychol Rev. 2006; 26(7), 817833.CrossRefGoogle Scholar
Heim, C, Nemeroff, CB. The role of childhood trauma in the neurobiology of mood and anxiety disorders: preclinical and clinical studies. Biol Psychiatry. 2001; 49(12), 10231039.CrossRefGoogle ScholarPubMed
Hovens, J, Giltay, EJ, Wiersma, JE, et al. Impact of childhood life events and trauma on the course of depressive and anxiety disorders. Acta Psychiatr Scand. 2012; 126(3), 198207.CrossRefGoogle ScholarPubMed
Lukkes, JL, Mokin, MV, Scholl, JL, Forster, GL. Adult rats exposed to early-life social isolation exhibit increased anxiety and conditioned fear behavior, and altered hormonal stress responses. Horm Behav. 2009; 55(1), 248256.CrossRefGoogle ScholarPubMed
Pynoos, RS, Steinberg, AM, Piacentini, JC. A developmental psychopathology model of childhood traumatic stress and intersection with anxiety disorders. Biol Psychiatry. 1999; 46(11), 15421554.CrossRefGoogle ScholarPubMed
Shackman, JE, Shackman, AJ, Pollak, SD. Physical abuse amplifies attention to threat and increases anxiety in children. Emotion. 2007; 7(4), 838852.CrossRefGoogle ScholarPubMed
U.S. Department of Health & Human Services, Administration for Children and Families, Administration on Children, Youth and Families, Children’s Bureau. Child maltreatment 2018. 2020. https://www.acf.hhs.gov/cb/research-data-technology/statistics-research/child-maltreatment Google Scholar
Ruiz, AL, Font, SA. Role of childhood maltreatment on weight and weight-related behaviors in adulthood. Health Psychol. 2020; 39(11), 986996.CrossRefGoogle ScholarPubMed
Ogden, CL, Carroll, MD, Kit, BK, Flegal, KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014; 311(8), 806814.CrossRefGoogle ScholarPubMed
Ng, M, Fleming, T, Robinson, M, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014; 384(9945), 766781.CrossRefGoogle ScholarPubMed
Sowers, JR. Obesity as a cardiovascular risk factor. Am J Med. 2003; 115(8), 37S41S.CrossRefGoogle ScholarPubMed
Yusuf, S, Hawken, S, Ounpuu, S, et al. Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study. Lancet. 2005; 366(9497), 16401649.CrossRefGoogle ScholarPubMed
Maggio, CA, Pi-Sunyer, FX. Obesity and type 2 diabetes. Endocrinol Metab Clin North Am. 2003; 32(4), 805822.CrossRefGoogle ScholarPubMed
Faith, MS, Calamaro, CJ, Dolan, MS, Pietrobelli, A. Mood disorders and obesity. Curr Opin Psychiatr. 2004; 17(1), 913.CrossRefGoogle Scholar
Vos, T, Lim, SS, Abbafati, C, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet. 2020; 396(10258), 12041222.CrossRefGoogle Scholar
Stapelberg, NJ, Hamilton-Craig, I, Neumann, DL, Shum, DH, McConnell, H. Mind and heart: heart rate variability in major depressive disorder and coronary heart disease-a review and recommendations. Austr New Zeal J Psychiatry. 2012; 46(10), 946957.CrossRefGoogle Scholar
Whooley, MA, Wong, JM. Depression and cardiovascular disorders. Ann Rev Clin Psychol. 2013; 9(1), 327354.CrossRefGoogle ScholarPubMed
Zheng, Y, Manson, JE, Yuan, C, et al. Associations of weight gain from early to middle adulthood with major health outcomes later in life. JAMA. 2017; 318(3), 255269.CrossRefGoogle ScholarPubMed
Ke, X, Fu, Q, Sterrett, J, et al. Adverse maternal environment and western diet impairs cognitive function and alters hippocampal glucocorticoid receptor promoter methylation in male mice. Physiol Rep. 2020; 8(8), e14407.CrossRefGoogle ScholarPubMed
Sial, OK, Gnecco, T, Cardona-Acosta, AM, et al. Exposure to vicarious social defeat stress and western-style diets during adolescence leads to physiological dysregulation, decreases in reward sensitivity, and reduced antidepressant efficacy in adulthood. Front Neurosci. 2021; 15, 701919.CrossRefGoogle ScholarPubMed
George, ED, Bordner, KA, Elwafi, HM, Simen, AA. Maternal separation with early weaning: a novel mouse model of early life neglect. BMC Neurosci. 2010; 11(1), 123.CrossRefGoogle ScholarPubMed
Raff, H, Hoeynck, B, Jablonski, M, et al. Insulin sensitivity, leptin, adiponectin, resistin, and testosterone in adult male and female rats after maternal-neonatal separation and environmental stress. Am J Physiol-Regul Integr Comp Physiol. 2018; 314(1), R12R21.CrossRefGoogle ScholarPubMed
Du Toit, EF, Tai, WS, Cox, A, et al. Synergistic effects of low-level stress and a Western diet on metabolic homeostasis, mood, and myocardial ischemic tolerance. Am J Physiol Regul Integr Comp Physiol. 2020; 319(3), R347r57.CrossRefGoogle Scholar
Russell, JS, Griffith, TA, Helman, T, et al. Chronic type 2 but not type 1 diabetes impairs myocardial ischaemic tolerance and preconditioning in C57Bl/6 mice. Exp Physiol. 2019; 104(12), 18681880.CrossRefGoogle Scholar
Seibenhener, ML, Wooten, MC. Use of the Open Field Maze to measure locomotor and anxiety-like behavior in mice. J Vis Exp. 2015; 96, e52434.Google Scholar
Walf, AA, Frye, CA. The use of the elevated plus maze as an assay of anxiety-related behavior in rodents. Nat Protoc. 2007; 2(2), 322328.CrossRefGoogle ScholarPubMed
Reichelt, ME, Willems, L, Hack, BA, Peart, JN, Headrick, JP. Cardiac and coronary function in the Langendorff-perfused mouse heart model. Exp Physiol. 2009; 94(1), 5470.CrossRefGoogle ScholarPubMed
Millstein, RA, Holmes, A. Effects of repeated maternal separation on anxiety- and depression-related phenotypes in different mouse strains. Neurosci Biobehav Rev. 2007; 31(1), 317.CrossRefGoogle ScholarPubMed
McCauley, J, Kern, DE, Kolodner, K, et al. Clinical characteristics of women with a history of childhood abuse: unhealed wounds. JAMA. 1997; 277(17), 13621368.CrossRefGoogle ScholarPubMed
Jedd, K, Hunt, RH, Cicchetti, D, et al. Long-term consequences of childhood maltreatment: altered amygdala functional connectivity. Dev Psychopathol. 2015; 27(4 Pt 2), 15771589.CrossRefGoogle ScholarPubMed
Wang, D, Levine, JLS, Avila-Quintero, V, Bloch, M, Kaffman, A. Systematic review and meta-analysis: effects of maternal separation on anxiety-like behavior in rodents. Transl Psychiat. 2020; 10(1), 174.CrossRefGoogle ScholarPubMed
Carlyle, BC, Duque, A, Kitchen, RR, et al. Maternal separation with early weaning: a rodent model providing novel insights into neglect associated developmental deficits. Dev Psychopathol. 2012; 24(4), 14011416.CrossRefGoogle ScholarPubMed
Lehmann, J, Feldon, J. Long-term biobehavioral effects of maternal separation in the rat: consistent or confusing? Rev Neurosci. 2000; 11(4), 383408.CrossRefGoogle ScholarPubMed
Murthy, S, Gould, E. Early life stress in rodents: animal models of illness or resilience? Front Behav Neurosci. 2018; 12(157), 23.CrossRefGoogle ScholarPubMed
Luppino, FS, de Wit, LM, Bouvy, PF, et al. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010; 67(3), 220229.CrossRefGoogle ScholarPubMed
Dixon, JB, Dixon, ME, O’Brien, PE. Depression in association with severe obesity: changes with weight loss. Arch Intern Med. 2003; 163(17), 20582065.CrossRefGoogle ScholarPubMed
Ogrodnik, M, Zhu, Y, Langhi, LGP, et al. Obesity-induced cellular senescence drives anxiety and impairs neurogenesis. Cell Metab. 2019; 29(5), 106177.e8.CrossRefGoogle ScholarPubMed
Dinel, AL, André, C, Aubert, A, et al. Cognitive and emotional alterations are related to hippocampal inflammation in a mouse model of metabolic syndrome. PLoS One. 2011; 6(9), e24325.CrossRefGoogle Scholar
Krishna, S, Lin, Z, de La Serre, CB, et al. Time-dependent behavioral, neurochemical, and metabolic dysregulation in female C57BL/6 mice caused by chronic high-fat diet intake. Physiol Behav. 2016; 157, 196208.CrossRefGoogle ScholarPubMed
Nakajima, S, Fukasawa, K, Gotoh, M, Murakami-Murofushi, K, Kunugi, H. Saturated fatty acid is a principal cause of anxiety-like behavior in diet-induced obese rats in relation to serum lysophosphatidyl choline level. Int J Obes (Lond). 2020; 44(3), 727738.CrossRefGoogle ScholarPubMed
Mizunoya, W, Ohnuki, K, Baba, K, et al. Effect of dietary fat type on anxiety-like and depression-like behavior in mice. SpringerPlus. 2013; 2(1), 165.CrossRefGoogle ScholarPubMed
Van Leuven, S, Carey, A, Squiccimara, L, Pintea, G. The impact of obesity and consumption of a high fat diet on anxiety-like behavior in mice. Curr Dev Nutr. 2020; 4(Supplement_2), 1239.CrossRefGoogle Scholar
Maniam, J, Morris, MJ. Palatable cafeteria diet ameliorates anxiety and depression-like symptoms following an adverse early environment. Psychoneuroendocrinology. 2010; 35(5), 717728.CrossRefGoogle ScholarPubMed
Desmet, PMA, Schifferstein, HNJ. Sources of positive and negative emotions in food experience. Appetite. 2008; 50(2), 290301.CrossRefGoogle ScholarPubMed
de Sousa Rodrigues, ME, Bekhbat, M, Houser, MC, et al. Chronic psychological stress and high-fat high-fructose diet disrupt metabolic and inflammatory gene networks in the brain, liver, and gut and promote behavioral deficits in mice. Brain Behav Immun. 2017; 59, 158172.CrossRefGoogle ScholarPubMed
Egan, AE, Seemiller, LR, Packard, AEB, Solomon, MB, Ulrich-Lai, YM. Palatable food reduces anxiety-like behaviors and HPA axis responses to stress in female rats in an estrous-cycle specific manner. Horm Behav. 2019; 115, 104557.CrossRefGoogle Scholar
Hatton-Jones, KM, du Toit, EF, Cox, AJ. Effect of chronic restraint stress and western-diet feeding on colonic regulatory gene expression in mice. Neurogastroenterol Motil. 2022; 34(4), e14300.CrossRefGoogle ScholarPubMed
Hatton-Jones, K, Cox, AJ, Peart, JN, Headrick, JP, du Toit Eugene, F. Stress-induced body weight loss and improvements in cardiometabolic risk factors do not translate to improved myocardial ischemic tolerance in western diet-fed mice. Physiol Rep. 2022; 10(2), e15170.CrossRefGoogle Scholar
Paternain, L, Martisova, E, Milagro, FI, et al. Postnatal maternal separation modifies the response to an obesogenic diet in adulthood in rats. Dis Models Mech. 2012; 5(5), 691697.Google Scholar
Donner, D, Headrick, JP, Peart, JN, du Toit, EF. Obesity improves myocardial ischaemic tolerance and RISK signalling in insulin-insensitive rats. Dis Models Mech. 2013; 6(2), 457.Google ScholarPubMed
Donner, DG, Elliott, GE, Beck, BR, Bulmer, AC, Du Toit, EF. Impact of diet-induced obesity and testosterone deficiency on the cardiovascular system: a novel rodent model representative of males with Testosterone-Deficient Metabolic Syndrome (TDMetS). PLoS One. 2015; 10(9), e0138019.CrossRefGoogle ScholarPubMed
du Toit, EF, Smith, W, Muller, C, et al. Myocardial susceptibility to ischemic-reperfusion injury in a prediabetic model of dietary-induced obesity. Am J Physiol Heart Circ Physiol. 2008; 294(5), H233643.CrossRefGoogle Scholar
Wiss, DA, Brewerton, TD. Adverse childhood experiences and adult obesity: a systematic review of plausible mechanisms and meta-analysis of cross-sectional studies. Physiol Behav. 2020; 223, 112964.CrossRefGoogle ScholarPubMed
Murphy, MO, Herald, JB, Wills, CT, et al. Postnatal treatment with metyrapone attenuates the effects of diet-induced obesity in female rats exposed to early-life stress. Am J Physiol Endocrinol Metab. 2017; 312(2), E98e108.CrossRefGoogle ScholarPubMed
Hemmingsson, E. Early childhood obesity risk factors: socioeconomic adversity, family dysfunction, offspring distress, and junk food self-medication. Curr Obes Rep. 2018; 7(2), 204209.CrossRefGoogle ScholarPubMed
Osadchiy, V, Mayer, EA, Bhatt, R, et al. History of early life adversity is associated with increased food addiction and sex-specific alterations in reward network connectivity in obesity. Obes Sci Pract. 2019; 5(5), 416436.CrossRefGoogle ScholarPubMed
de Souza, JA, da Silva, MC, de Matos, RJB, et al. Pre-weaning maternal separation increases eating later in life in male and female offspring, but increases brainstem dopamine receptor 1a and 2a only in males. Appetite. 2018; 123, 114119.CrossRefGoogle ScholarPubMed
Cottone, P, Sabino, V, Roberto, M, et al. CRF system recruitment mediates dark side of compulsive eating. Proc Natl Acad Sci U S A. 2009; 106(47), 2001620020.CrossRefGoogle ScholarPubMed
Thorpe, JB, Gould, KE, Borman, ED, deCatanzaro, D. Circulating and urinary adrenal corticosterone, progesterone, and estradiol in response to acute stress in female mice (Mus musculus). Horm Metab Res. 2014; 46(3), 211218.Google ScholarPubMed
Dandi, E, Kalamari, A, Touloumi, O, et al. Beneficial effects of environmental enrichment on behavior, stress reactivity and synaptophysin/BDNF expression in hippocampus following early life stress. Int J Dev Neurosci. 2018; 67(1), 1932.CrossRefGoogle ScholarPubMed
Purcell, RH, Sun, B, Pass, LL, et al. Maternal stress and high-fat diet effect on maternal behavior, milk composition, and pup ingestive behavior. Physiol Behav. 2011; 104(3), 474479.CrossRefGoogle ScholarPubMed
Miller, AL, Gearhardt, AN, Retzloff, L, et al. Early childhood stress and child age predict longitudinal increases in obesogenic eating among low-income children. Acad Pediatr. 2018; 18(6), 685691.CrossRefGoogle ScholarPubMed
Machado, TD, Dalle Molle, R, Laureano, DP, et al. Early life stress is associated with anxiety, increased stress responsivity and preference for “comfort foods” in adult female rats. Stress. 2013; 16(5), 549556.CrossRefGoogle Scholar
Parry, SA, Woods, RM, Hodson, L, Hulston, CJ. A single day of excessive dietary fat intake reduces whole-body insulin sensitivity: the metabolic consequence of binge eating. Nutrients. 2017; 9(8), 818.CrossRefGoogle ScholarPubMed
Danielsson, A, Fagerholm, S, Ost, A, et al. Short-term overeating induces insulin resistance in fat cells in lean human subjects. Mol Med. 2009; 15(7-8), 228234.CrossRefGoogle ScholarPubMed
Wondmkun, YT. Obesity insulin resistance, and type 2 diabetes: associations and therapeutic implications. Diabetes Metab Syndr Obes. 2020; 13, 36113616.CrossRefGoogle ScholarPubMed
Iwasaki, S, Inoue, K, Kiriike, N, Hikiji, K. Effect of maternal separation on feeding behavior of rats in later life. Physiol Behav. 2000; 70(5), 551556.CrossRefGoogle ScholarPubMed
Iacobellis, G. True uncomplicated obesity is not related to increased left ventricular mass and systolic dysfunction. J Am Coll Cardiol. 2004; 44(11), 2257.CrossRefGoogle Scholar
Iacobellis, G, Ribaudo, MC, Leto, G, et al. Influence of excess fat on cardiac morphology and function: study in uncomplicated obesity. Obes Res. 2002; 10(8), 767773.CrossRefGoogle ScholarPubMed
Medford, HM, Cox, EJ, Miller, LE, Marsh, SA. Consuming a western diet for two weeks suppresses fetal genes in mouse hearts. Am J Physiol Regul Integr Comp Physiol. 2014; 306(8), R51926.CrossRefGoogle ScholarPubMed
Alpert, MA, Lambert, CR, Panayiotou, H, et al. Relation of duration of morbid obesity to left ventricular mass, systolic function, and diastolic filling, and effect of weight loss. Am J Cardiol. 1995; 76(16), 11941197.CrossRefGoogle ScholarPubMed
Peterson, LR, Waggoner, AD, Schechtman, KB, et al. Alterations in left ventricular structure and function in young healthy obese women: assessment by echocardiography and tissue Doppler imaging. J Am Coll Cardiol. 2004; 43(8), 13991404.CrossRefGoogle ScholarPubMed
Wong, CY, O’Moore-Sullivan, T, Leano, R, et al. Alterations of left ventricular myocardial characteristics associated with obesity. Circulation. 2004; 110(19), 30813087.CrossRefGoogle ScholarPubMed
Scheuer, DA, Mifflin, SW. Repeated intermittent stress exacerbates myocardial ischemia-reperfusion injury. Am J Physiol Regul Integr Comp Physiol. 1998; 274(2), R470R5.CrossRefGoogle ScholarPubMed
Rorabaugh, BR, Krivenko, A, Eisenmann, ED, et al. Sex-dependent effects of chronic psychosocial stress on myocardial sensitivity to ischemic injury. Stress. 2015; 18(6), 645653.CrossRefGoogle ScholarPubMed
Wensley, I, Salaveria, K, Bulmer, AC, Donner, DG, du Toit, EF. Myocardial structure, function and ischaemic tolerance in a rodent model of obesity with insulin resistance. Exp Physiol. 2013; 98(11), 15521564.CrossRefGoogle Scholar
Oi, M, Donner, D, Peart, J, et al. Pravastatin improves risk factors but not ischaemic tolerance in obese rats. Eur J Pharmacol. 2018; 826, 148157.CrossRefGoogle Scholar
Kessler, RC. Epidemiology of women and depression. J Affect Disord. 2003; 74(1), 513.CrossRefGoogle ScholarPubMed
Kessler, RC, McGonagle, KA, Swartz, M, Blazer, DG, Nelson, CB. Sex and depression in the National Comorbidity Survey I: Lifetime prevalence, chronicity and recurrence. J Affect Disord. 1993; 29(2-3), 8596.CrossRefGoogle ScholarPubMed
Vaccarino, V, Shah, AJ, Rooks, C, et al. Sex differences in mental stress-induced myocardial ischemia in young survivors of an acute myocardial infarction. Psychosom Med. 2014; 76(3), 171180.CrossRefGoogle ScholarPubMed
Ijeaku, IGS, Osei, A, Cooper, T, Moss, HB, Deas, D. Sex differences in the associations of specific Adverse Childhood Experiences (ACEs) with comorbid psychiatric disorders. J Psychiatry Mental Health. 2021; 6(2), 46.Google Scholar
Ho, DH, Burch, ML, Musall, B, et al. Early life stress in male mice induces superoxide production and endothelial dysfunction in adulthood. Am J Physiol Heart Circ Physiol. 2016; 310(9), H1267H74.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. Experimental groups. PD – postnatal day, w.o. – weeks old, CON – control group (standard rodent chow + standard development), MSEW – maternal separation group (standard rodent chow + maternal separation and early weaning), WD – Western diet group (fed a simulated WD). Made with BioRender.

Figure 1

Figure 2. Experimental timeline. PD – postnatal day, w.o. – weeks old. Made with BioRender.

Figure 2

Table 1. Nutritional composition of animal diets

Figure 3

Figure 3. Body weight from 4 weeks to 8 weeks (prior to initiation of WD feeding in the WD subgroup). ***p < 0.001. Data presented as Mean ± SEM.Abbreviations: CON, Control (n = 33); MSEW, Maternal separation and early weaning (n = 34).

Figure 4

Figure 4. Body weight from 8 weeks to 24 weeks (after initiation of WD feeding in the WD subgroup). **p < 0.01, ***p < 0.001. Data presented as mean ± SEM.Abbreviations: CON, Control (n = 14); MSEW, Maternal separation and early weaning (n = 15), WD, Western diet (n = 19), MSEW + WD (n = 19).

Figure 5

Table 2. Fasted blood biochemistry and serum analyses at 7 weeks

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Figure 5. Blood biochemistry and serum analyses (at 23 weeks). Data presented as Mean ± SEM. *p < 0.05. BGL – blood glucose levels, HOMA-IR – homeostatic assessment of insulin resistance, QUICKI – quantitative insulin-sensitivity check index, CON – Control, MSEW – Maternal separation and early weaning,, WD – Western diet.

Figure 7

Figure 6. Open field test outcomes (at 7 weeks, pre-dietary intervention) (a) Distance travelled after 20 min. (b) Number of centre square entries. (c) Duration in the centre square (seconds). (d) Average movement speed. Data presented as Mean ± SEM. *p < 0.05, ****p < 0.0001. CON – Control (n = 26). MSEW – Maternal separation early weaning (n = 32).

Figure 8

Figure 7. Open field tests outcomes (at 23 weeks) (a) Time duration spent in the centre square. (b) Number of centre square entries. (c) Distance travelled after 20 min (d) Average speed. Data presented as Mean ± SEM. CON – Control (n = 14), WD – Western diet (n = 17), MSEW – Maternally separated early weaning (n = 12), MSEW + WD (n = 17).

Figure 9

Figure 8. Elevated plus maze outcomes (at 7 weeks). (a) Number of entries to the open arm after 5 min. (b) A ratio of open arm entries to closed arm entries. (c) Time duration spent on the open arm. (d) A ratio of time spent on the open arm over the time spent on the close arm. (E) Number of head dips performed. Data presented as Mean±SEM. CON – Control (n = 31), MSEW – Maternal separation early weaning (n = 29).

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Figure 9. Elevated plus maze outcomes (at 23 weeks). (a) Number of entries to the open arm after 5 min. (b) A ratio of open arm entries to closed arm entries. (c) Time duration spent on the open arm. (d) A ratio of time spent on the open arm over the time spent on the close arm. (e) Number of head dips performed. Data presented as Mean ± SEM. **p < 0.01, CON – Control (n = 10), MSEW – Maternal separation early weaning (n = 14). WD – Western diet (n = 18), MSEW + WD (n = 14).

Figure 11

Figure 10. Heart weights. (a) Heart weight. (b) HX:BX - heart weight/ body weight ratio. Data presented as Mean ± SEM, CON – Control (n = 6), MSEW – Maternal separation early weaning (n = 6), WD – Western diet (n = 6), MSEW + WD (n = 12).

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Table 3. Baseline perfusion measurements

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Figure 11. Post-ischaemic functional recoveries in perfused hearts. At 40 m reperfusion: (a) LVDP, (b) LVDP recovery, (c) End-diastolic pressure, (d) Systolic pressure, (e) Positive change in pressure over time, (f) Negative change in pressure over time, (g) Coronary flow, (h) Coronary flow per gram of heart weight. CON – control, MSEW – Maternal separation and early weaning, WD – Western diet. N = 6 for CON, MSEW, and WD. N = 12 for MSEW + WD. Data presented as Mean ± SEM. *p < 0.05.

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Figure 12. Rate and extent of ischaemic contracture in perfused hearts. (a) Peak contracture. (b & c) Time to contracture and time to peak contracture. CON – control, MSEW – maternal separation, WD – western diet. N = 6 for CON, MSEW, and WD. N = 12 for MSEW + WD. Data presented at Mean ± SEM.