The effects of stress on the neuroendocrine, central nervous and immune systems are extremely complex. The kynurenine pathway (KP) of the tryptophan metabolism is recognised as a cross-link between the neuroendocrine- and immune systems. However, the effects of acute stress from everyday life on KP activation have not yet been studied. This study aims to investigate changes in the levels of the KP neuroactive metabolites and cytokines in response to stress triggered by academic examinations. Ninety-two healthy first year medical students benevolently participated in the study. Parameters were measured pre- examination, which is considered to be a high-stress period, and post-examination, as a low-stress period. Stress induced by academic examinations significantly increases the perceived stress scores (p<0.001), serum cortisol levels (p<0.001) and brain-derived neurotrophic factor (BDNF) levels (p<0.01). It decreased IL-10 levels (p<0.05) but had no effect on IL-6 and TNF-alpha levels. Only the KP neuroactive metabolite, 3-hydroxykynurenine (3-HK) significantly increased (p<0.01) in the post-examination period. In addition, the stress scores positively correlated with the levels of cortisol (r2 = 0.297, p<0.01) at post examination. Acute stress triggered by academic examinations increases cortisol and BDNF production and suppresses the anti-inflammatory cytokine, IL-10, but did not increase significantly the levels of other pro-inflammatory cytokines, tryptophan, kynurenine and downstream KP metabolites. The concomitant increased levels of BDNF under the duress of acute examination stress appear to limit the levels pro-inflammatory markers, which may attenuate the action of cortisol and the neuroinflammatory branch of the KP.
Citation: Myint K, Jacobs K, Myint AM, Lam SK, Henden L, Hoe SZ, et al. (2021) Effects of stress associated with academic examination on the kynurenine pathway profile in healthy students. PLoS ONE 16(6): e0252668. https://doi.org/10.1371/journal.pone.0252668
Editor: Alexandre Emmanuel Benedetto, Lancaster University, UNITED KINGDOM
Received: October 21, 2020; Accepted: May 20, 2021; Published: June 3, 2021
Copyright: © 2021 Myint et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: This study was funded by grants (RG266/10HTM) from the University of Malaya Research Grant Health and Translational Medicine Cluster to KM. GJG was supported by the National Health and Medical Research Council (NHMRC), the Australian Research Council (ARC) and Macquarie University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
As stress is a prevalent element of the modern human life, it is therefore important to identify the underlying complex mechanisms involved in stress reactivity. The duration of stress is crucial in determining the nature of the stress-induced physiological changes; short-term stress triggers different kinds of neuro-immune responses, which can be either beneficial or detrimental whereas chronic or extreme stress always has a negative impact on physiological homeostasis and psychological adaptations of individuals.
Acute stress is well known to increase the activity of hypothalamo-pituitary adrenal (HPA) axis [1, 2]. Activation of the peripheral components of the HPA axis triggers the systemic production of glucocorticoids as an adaptive response to stress aiming to re-establish and maintain homeostasis [1, 2]. While the chronic stress increases the activity of the HPA axis, with subsequent alteration of the neuroendocrine system [1–3] as well as the immune functions and cytokine profile [4, 5]. The brain-derived neurotrophic factor (BDNF), whose primary role is in the process of neuroplasticity, is also involved in the stress circuitry. The evidence of chronic stress-related alteration in brain BDNF expressions indicates the co-existence of BDNF and glucocorticoid signalling pathways in the central nervous system, particularly in the hippocampus [6–10].
A likely candidate able to orchestrate the complex interactions between central nervous-, neuroendocrine- and immune systems is the kynurenine pathway (KP) [11–13]. The KP is the main catabolic pathway for the essential amino acid tryptophan (TRP) [11–13] (Fig 1). The various KP metabolites can have neuroprotective, immunomodulatory and /or neurotoxic functions [14–17]. Stress induces dysfunction of the neuroendocrine-immune system that subsequently activates the KP towards its neurotoxic branch ultimately leading to 3-hydroxykynurenine (3-HK) and quinolinic acid (QUIN) production [11, 12, 15–19]. The initial step for the activation of KP is the conversion of TRP to kynurenine (KYN) by two enzymes, tryptophan 2, 3-dioxygenase-2 (TDO-2) or indoleamine 2, 3-dioxygenase-1 (IDO-1). TDO-2 is induced by cortisol and is mostly found in liver, kidney and brain [20, 21]. IDO-1 is activated by pro-inflammatory mediators especially interferon (IFN)-γ and lipopolysaccharides [13, 14, 19, 22] and is present in numerous brain and peripheral cells including astrocytes, microglia, neurons, microvascular endothelial cells and macrophages [23–25]. Formation of first stable intermediate KYN is the key branching point between neuroprotective and neurotoxic branches of the KP (Fig 1). Kynurenine is metabolised to produce neuroprotective kynurenic acid (KYNA) by the kynurenine aminotransferases (KATs); or into 3-HK, a neurotoxic and redox-active metabolite by kynurenine monooxygenase (KMO). The 3-HK is then metabolised to 1) anthranilic acid (AA) by kynureninase (KYNU), or 2) 3-hydroxyanthranilic acid (3-HAA) by 3- hydroxyanthranilic oxygenase (3-HAO) and ultimately to the neurotoxin quinolinic acid (QUIN) [16, 26]. These neurotoxins, 3-HK and QUIN are involved in the pathogenesis of most of the major neurodegenerative diseases [15, 27–29].
Among the different subtypes of stress, academic stress is considered to be the most common psychological stress among primary, secondary, undergraduate and postgraduate students. The degree of stress perceived may differ from the nature of the course taken but generally it is shown that medical students have higher stress levels during their training [30–33]. The total prevalence of stress varied in medical students, from 29.6%  to more than 90% , and academic examinations are revealed to be the most powerful acute stressors.
There have been substantial research done on the consequences of academic examination-induced stress on neuroendocrine and immune parameters. Although acute stress has been shown to increase the activity of HPA axis [1–3], the results of acute examination stress on cortisol secretion is inconsistent [36–41]. In addition, an altered Th1/Th2 balance was found between pre- and post-examination periods in exam stress model of medical students [42, 43].
Most of studies have looked at the consequences of chronic stress-induced changes on BDNF and KP neuroactive metabolites. However, the potential effects of acute stress on BDNF and KP metabolites levels remain uncovered. Thus, the present study aimed to determine the effects of academic stress triggered by examination on circulating neuro-endocrine-immunological mediators such as kynurenine metabolites, hormones and cytokines in healthy undergraduate medical students.
Materials and methods
The ethical approval (MEC Ref. No. 781.12) was obtained by the Human Ethics Committee of the University Malaya Medical Centre (UMMC) Malaysia prior to the commencement of the study. The study was not pre-registered.
Recruitment of participants
The participants were recruited from first-year medical students at The University of Malaya, Kuala Lumpur, Malaysia. A call for volunteer-based participation was made to around 140 students during their routine small group teaching classes and those who responded were requested to complete a questionnaire on their past and present medical history, personal information, socioeconomic status and lifestyle. Sample size was not predetermined. The following inclusion criteria were applied: no histories of acute illnesses, no previous known medical conditions or psychosocial problems, no financial constraints. All selected students met the inclusion criteria. Detailed information about the purpose, procedures and prerequisites of the study were provided to all participants prior to the day of experiment and their written consent was obtained. An honorarium was given for their participation in the study.
The study was performed at two time-points, 1) pre-examination period: 1 or 2 days before; and 2) post-examination period: 1 week after the final written academic examination when the students were on holidays while waiting for the results. The examination lasted for 4 days and consisted of written theory as well as objective structured practical examination on basic medical science subjects. The first time-point (pre-examination period) was considered to be a high-stress setting and the second time-point (post-examination period) was considered to be a low-stress setting. The determination of perceived stress levels and collection of blood for analysis of biochemical parameters were carried out at both time-points. The students were requested to avoid exercises on the day of data collection. Each participant remained anonymous as all blood samples and matching questionnaires were coded with numbers.
Subjective assessment: Stress questionnaire
A 42-item self-report validated depression, anxiety, stress scales (DASS) was provided to assess the levels of stress as perceived by the participants. This stress questionnaire is designed to measure the three related negative emotional states of depression, anxiety and tension/stress . After brief introduction of DASS, the participants were asked to complete the 4-point severity/frequency scales to rate the extent to which they have experienced each state over the past week. In this study, only the stress scales were used.
Objective assessment: Biochemical analysis
Blood samples were collected from all participants between 8:00 am to 9:00 am after a brief relaxation period of approximately 15 minutes. The samples were collected in vacutainers; sera were separated after centrifuging at 1000 x g and 4°C for 20 minutes and then kept at −80°C until the time of analysis. All the samples were assayed at the same time for determination of each parameter to limit experimental variability.
The levels of neuroendocrine hormone, cortisol in the serum were measured by chemiluminescent immunoassays (ADVIA Centaur, USA) at the Clinical Diagnostic Laboratory, University Malaya Medical Centre.
The serum concentrations of the neurotrophin BDNF and cytokines, IL-6, IL-10, and TNF-α were determined using ProcartaPlex Multiplex Immunoassay at i-DNA laboratory in Kuala Lumpur, Malaysia. A four-parameter logistics model was used to calculate the sample concentrations by interpolation. Cytokines under the limit of detection were set to the values equivalent to lower limit of quantitation for statistical analysis.
The quantification of the KP metabolites was performed at the Motor Neuron Disease (MND) Research Centre, Faculty of Medicine and Health Sciences, Macquarie University, Australia. The concurrent quantification of serum TRP, KYN, AA, 3-HK and 3-HAA serum levels was carried out using ultra high performance liquid chromatography (uHPLC), according to our previously published method  with slight modification .
The statistical analysis was performed using GraphPad Prism software version 5.1 and version 9.1.0.
The perceived stress scores were calculated by adding the scores for the 14-relevant items in DASS scales for stress.
All blood samples were analysed in duplicate, and the mean value was calculated for each parameter and used for statistical analysis. After testing the normality of data by the Shapiro–Wilk test, a non-parametric Wilcoxon signed-rank test was used for comparison of quantitative variables of two time-points serum concentrations. Results are expressed as median and interquartile range (IQR). The gender difference between the parameters was determined by Shapiro–Wilk test for normality of the data. For those data that are not normally distributed, Mann Whitney test was used, and the results are expressed in median (IQR). The t test with Welch’s correction was used for calculation of means±SD in normally distributed data.
The potential correlations between the parameters were determined using Spearman correlation matrix.
A total of 92 (46 males, 46 females; 54% Malay, 43% Chinese and 3% Indians) healthy first-year medical students with the mean age of 19.96±0.42 and body mass index (BMI) of 21.63±3.21 were recruited for this study. All participants were single, neither smokers nor drinkers, and were free from medication and financial constraints. Since they were institutionalised in the hostels, most of their diets were assumed to be standardised.
The DASS-stress scores are higher (p < 0.001) in pre-examination period than that of post-examination period (Table 1A). The levels of serum cortisol (p < 0.001) and BDNF (p < 0.01) are significantly increased in the pre-examination period compared to the post-examination period (Table 1B).
Changes in a) perceived stress scores, b) the levels of cortisol and BDNF, c) concentrations of cytokines, and d) concentrations of TRP and KP metabolites during pre-examination and post-examination period.
The cytokine profile is shown in Table 1C. The level of anti-inflammatory cytokine, IL-10 is significantly reduced (p < 0.05) during the pre-examination period compared to post-examination period, while no significant change is observed in pro-inflammatory cytokines, IL-6 and TNF-α.
The serum levels of the KP metabolites for both time-points are shown in Table 1D. Except for the significantly increased 3-HK levels (p < 0.01) during the post-examination period, the levels of TRP and KYN have not significantly changed between the time-points. In addition, no significant changes were observed with the other metabolites, 3-HAA, AA or the KYN/TRP and 3-HAA/AA ratio.
The effects of gender differences on measured parameters are shown in Table 2. As compared to males, females showed significantly higher levels of DASS-perceived stress scores (p < 0.01) during pre-examination period (Table 2A), and BDNF (p < 0.05) during both pre- and post-examination periods (Table 2B). Meanwhile, the levels of TNF-α were significantly higher in males at post-examination. In addition, significantly higher levels of 3-HK (p < 0.05) in females during pre-examination period (Table 2D), and 3-HAA/AA ratio in males (p < 0.05) (Table 2D) during post-examination period were observed.
Gender differences in a) perceived stress scores, b) the levels of cortisol and BDNF, c) concentrations of cytokines, and d) concentrations of TRP and KP metabolites during pre-examination and post-examination period.
During the pre-examination period, no significant correlations were found between the DASS-stress scores and other parameters, cortisol, BDNF, pro- and anti- inflammatory cytokines and KP metabolites. Serum levels of BDNF are found to be correlated with IL-10 (r2 = - 0.227, p<0.05), IL-6 (r2 = 0.219, p<0.05), TRP (r2 = 0.459, p<0.001), 3-HK (r2 = 0.501, p<0.001), 3-HAA (r2 = 0.229, p<0.05) and KYN:TRP (r2 = -0.336, p<0.001). The levels of KP metabolite TRP were significantly associated with BDNF (r2 = 0.459, p<0.001), KYN (r2 = 0.588, p<0.001), 3HK (r2 = 0.637, p<0.001), 3HAA (r2 = 0.509, p<0.001), KYN:TRP (r2 = - 0.499, p<0.001) and 3-HAA:AA (r2 = 0.285, p<0.01) (Fig 2).
However, during the post-examination period, correlations were found between DASS-stress scores and the levels of cortisol (r2 = 0.297, p<0.01); levels of cortisol with 3-HAA (r2 = - 0.237, p<0.05) and 3-HAA:AA (r2 = - 0.176, p<0.05); BDNF with IL-10 (r2 = - 0.286, p<0.01), IL-6 (r2 = 0.331, p<0.001) and TNF-α (r2 = - 0.331, p<0.001); TRP with IL-10 (r2 = - 0.232, p<0.05), KYN (r2 = 0.556, p<0.001), 3-HK (r2 = 0.297, p<0.01), 3-HAA (r2 = 0.358, p<0.001), KYN:TRP (r2 = - 0.320, p<0.01), and 3-HAA:AA (r2 = 0.236, p<0.05) (Fig 3).
The aim of this study was to investigate the effects of acute academic stress on the neuroendocrine, immune mediators and the KP. Academic examination stress has been extensively used to investigate the effects of psychological stress on neuro-endocrino-immunology in healthy young subjects . In this study, we assessed the changes in the levels of cortisol, BDNF, pro- and anti-inflammatory cytokines and several KP metabolites in serum obtained from medical students under the pressure of examination stress compared to a low-stress period. Moreover, as gender is an important determinant of human health, and a clear pattern for the sex-specific stress hormone regulation, prevalence rates of neuro-psychiatric disorders are reported in the literature [48–50]. Hence, the differences in stress reactivity, cytokines and KP metabolites between male and female participants in this study were also analysed.
The DASS-stress scale was designed to assess the levels of chronic nervous arousals . In agreement with previous reports, we found a significant increase in DASS-stress scores among the participants of our study during pre-examination period [30–33]. These participants had behavioural problems such as difficulties in relaxing, feelings of being upset/ agitated, higher irritability, over-reactivity and intolerance to interruption or delay. As the selected participants did not have any psychosocial problems, financial stress, medications and diseases, the cause of their high levels of stress during that examination time-point was considered as the only stress inducer.
Elevated levels of cortisol during the examination period reflect the classic hormonal responses to stress. However, depending on the studies, the cortisol response to academic stress has been found to vary, from no change or even lower levels [36–38] to significantly higher levels [39–41] as we found in this study. The increase in cortisol levels is due to the activation of the HPA axis triggered by examination stress [1–3]. While, significantly higher levels of stress were found during the pre-examination period, an important factor for consideration is the variability in coping abilities and inter-individual variation during high stress periods. In addition, a gender difference was observed in the scores of perceived stress, females exhibited higher stress scores than males under stress. In line with this observation, depression and anxiety disorders are more prevalent in adult women than men . The gonadal hormones are found to have marked effects on physiological stress responses as the hypothalamic pituitary gonadal axis has a close connection with HPA neuronal circuitry . Oestrogen has been shown to buffer the sympathetic and HPA arousal  and low serum oestrogen levels are associated with hypoactivation of brain stress responses in women with major depressive disorder . However, no gender difference in cortisol response was noted in this study.
The BDNF is expressed in the hippocampus and cerebral cortex, two brain regions involved in stress regulation  as well as in the periphery . BDNF production is decreased during chronic psychological stress [9, 52]. However, to our knowledge, this has never been studied in humans under acute stress conditions. We found that academic stress is associated with a significant increase in BDNF production. This is consistent with the result from a study using a biphasic stress model on sleep, which reported a fast increase in serum BDNF levels as seen in patients with acute stress and, sleep deprivation, but a decrease in levels with chronic stress, sleep disturbance and depression . Previous studies on healthy older adults are limited and inconsistent: no significant changes in serum BDNF levels following a 35-minute sessions ; and increased BDNF levels after 5 weeks of cognitive training , have been reported. This is also supported by findings with animal models where short-duration stressors of less than 60 minutes triggered an induction of hippocampal BDNF expression [56, 57]. In addition, in animal models with an enriched environment, BDNF and phosphorylated cyclic adenosine monophosphate (cAMP) response element-binding protein (pCREB) improved both hippocampal neurogenesis and cognition [58, 59]. Though the concept of environmental enrichment is far more complex in humans; the pre-examination period could be considered as a state of cognitive stimulation. BDNF mediated neuronal activity and plasticity in response to a cognitive challenge as well as cognitive learning may also explain the high BDNF levels in periods of stress. However, the change in BDNF levels is neither associated with perceived stress nor cortisol levels. Compared to males, female participants showed higher levels of BDNF in stress as well as stress-free periods. This may be due to effect of reproductive hormone, oestrogen, which modulates the expression of neurotrophins . Oestrogen-induced increase in BDNF mRNA and protein levels in cultured hippocampal and prefrontal cortical neurones of rats as well as oestrogen-dependent prefrontal activation in humans have been previously reported . Altogether these points highlight the needs for better characterisation and understanding of the complex and multiple integrated mechanisms involved between perceived stress, cortisol and BDNF production under acute and chronic physiological conditions.
In addition, we observed an alteration of the Th1/Th2 balance between pre- and post-examination periods. A significant decrease of the Th2 anti-inflammatory cytokine (IL-10) production was found in the high-stress period confirming the previous findings from exam stress model of medical students [42, 43]. IL-10 induces a strong humoral response and can suppress the production of the interferon-γ (IFN-γ) and TNF-α by a Th1 clone in a mouse model . However, in this study, even with levels of IL-10 significantly decreased by 1.3-fold during the stress period, there is no significant change in the levels of Th1 pro-inflammatory cytokines (IL-6 and TNF-α). This is likely to be associated with differences between species: mice vs human. Our results support the concept that stress is immunosuppressive [4, 61]. In addition, both interleukins are found to be associated with BDNF in pre- and post-examination periods. This finding is in agreement with the hypothesis of a cross-regulation between BDNF and cytokine production  and supported by the several reports: 1) inflammation induced-anxiety and depression with decreased hippocampal expression of BDNF in rats ; 2) inflammation-dependent decrease in BDNF in depression ; 3) chronic schizophrenia ; 4) normalization or up-regulation of BDNF levels in response to antidepressant  and 5) antipsychotic treatments . The consensus is that that academic examination induced-stress suppressed the humoral immune response but has minimal effects on the cell-mediated response [4, 61].
Looking at the KP, we did not find any significant differences between the early KP metabolites, TRP and KYN, between the pre- and post-examination periods. The levels of TRP are associated with BDNF and also with downstream KP metabolites, KYN, 3-HK, 3-HAA, KYN:TRP and 3-HAA:AA. This correlates well with the fact that we did not see any changes in the levels of pro-inflammatory cytokines, which are the main activators of IDO-1. However, it was surprising that the high cortisol levels found in the participants did not up-regulate TDO-2 . As mentioned previously, this could be explained by the possible antagonistic role of BDNF on cortisol induced-TDO-2 activation. The central KP metabolite, 3-HK, formed from hydroxylation of KYN by KMO, was increased during post-examination period. The 3-HK is produced by activated monocytic cells, such as microglia and macrophages , and activates the neurotoxic branch of KP . The role of 3-HK in neurophysiological process is still not fully understood. A review  reported that 3-HK could also have some KP modulatory actions via antioxidant mechanisms as opposed to the previously known pro-oxidant and neurotoxic effects. 3-HK is subsequently catalysed by either KYNU into 3-HAA, or transaminated by KATs into xanthurenic acid (XA)  (Fig 1). The significant increase in 3-HK levels during the post-examination period without changes in the levels of its direct catabolite, 3-HAA indicated the possible shift of 3-HK conversion towards XA, and which physiological roles are associated with attentional and cognitive processes by modulating glutamatergic neurotransmission . We also observed that TNF-α can activate KMO directly and independently of IDO-1 activation (unpublished data). 3-HAA is a suppressor of T-cell response  and an excitotoxin . 3-HAA is the main precursor for the formation of neurotoxic QUIN [16, 71]. Although significantly lower levels of serum 3-HK at pre- and higher levels of 3-HAA:AA at post-examination period were observed in males, no significant gender difference was found for other kynurenines: TRP, KYN, 3-HK, and KYN:TRP. The similar finding was reported except for plasma TRP which revealed lower total levels in females . The possible significant impact of kynurenines difference in relation to TRP metabolism along KP needs further investigations.
One of the main limitations of this project is that we were not able to quantify the level of XA, QUIN and picolinic acid (PIC) due to limited volume of samples. However, as 3-HK is altered, it is likely that QUIN related neurotoxicity could also prevail under acute stress as previously shown in rodent models [73, 74]. The cortisol awakening time was not determined, this may limit the data on cortisol responses. This notion on the acute stress condition is in accordance with several reports in which chronic stress induced-KP activation, and its involvement in the initiation, development and augmentation of neurodegenerative processes [15, 19, 27–29].
This study is the first to report the changes in the KP neuroactive metabolites through neuroendocrine-immune interactions in response to acute stress triggered by academic examinations. Increased levels of perceived stress and serum cortisol, reduced levels of anti-inflammatory cytokine, with limited change in peripheral KP neuroactive metabolic profile under the duress of acute stress strongly suggest the main regulatory protagonist could be BDNF. During the pre-examination period, learning induced-cognitive stimulation increases BDNF production, which in turn, attenuates the effects of cortisol and/or the pro-inflammatory cytokines induced by KP activation. Thus, acute stress induced-BDNF may restore the KP metabolic equilibrium and may maintain a basal neuroprotective environment. Future studies with a larger cohort are necessary to provide stronger evidence and to elucidate the mechanisms that control and maintain the KP homeostasis in response to acute stressful conditions in humans.
S1 File. Standard curves for calculation of kynurenine metabolite concentrations.
We thank all medical students who participated in this study. The English has been professionally edited by Redfern Communication Australia.
- 1. Herman JP, McKlveen JM, Ghosal S, Kopp B, Wulsin A, Makinson R, et al. Regulation of the Hypothalamic-Pituitary-Adrenocortical Stress Response. Compr Physiol. 2016;6(2):603–21. pmid:27065163
- 2. Charmandari E, Tsigos C, Chrousos G. Endocrinology of the stress response. Annu Rev Physiol. 2005;67:259–84. pmid:15709959
- 3. Herman JP, Figueiredo H, Mueller NK, Ulrich-Lai Y, Ostrander MM, Choi DC, et al. Central mechanisms of stress integration: hierarchical circuitry controlling hypothalamo-pituitary-adrenocortical responsiveness. Front Neuroendocrinol. 2003;24(3):151–80. pmid:14596810
- 4. Chrousos GP. The hypothalamic-pituitary-adrenal axis and immune-mediated inflammation. NEJM. 1995;332(20):1351–62. pmid:7715646
- 5. Clark SM, Song C, Li X, Keegan AD, Tonelli LH. CD8(+) T cells promote cytokine responses to stress. Cytokine. 2018. pmid:30033139
- 6. Wetmore C, Ernfors P, Persson H, Olson L. Localization of brain-derived neurotrophic factor mRNA to neurons in the brain by in situ hybridization. Exp Neurol. 1990;109(2):141–52. pmid:2379553
- 7. Smith MA, Makino S, Kvetnansky R, Post RM. Effects of stress on neurotrophic factor expression in the rat brain. Ann N Y Acad Sci. 1995;771:234–9. pmid:8597402
- 8. Calabrese F, Rossetti AC, Racagni G, Gass P, Riva MA, Molteni R. Brain-derived neurotrophic factor: a bridge between inflammation and neuroplasticity. Front Cell Neurosci. 2014;8:430. pmid:25565964
- 9. Duman RS, Monteggia LM. A neurotrophic model for stress-related mood disorders. Biol Psychiatry. 2006;59(12):1116–27. pmid:16631126
- 10. Phillips C. Brain-Derived Neurotrophic Factor, Depression, and Physical Activity: Making the Neuroplastic Connection. Neural Plast. 2017;2017:7260130. pmid:28928987
- 11. Myint AM, Kim YK. Network beyond IDO in psychiatric disorders: revisiting neurodegeneration hypothesis. Prog Neuropsychopharmacol Biol Psychiatry. 2014;48:304–13. pmid:24184687
- 12. Oxenkrug GF. Tryptophan kynurenine metabolism as a common mediator of genetic and environmental impacts in major depressive disorder: the serotonin hypothesis revisited 40 years later. Isr J Psychiatry Relat Sci. 2010;47(1):56–63. pmid:20686200
- 13. Myint AM, Kim YK. Cytokine-serotonin interaction through IDO: a neurodegeneration hypothesis of depression. Med Hypotheses. 2003;61(5–6):519–25. pmid:14592780
- 14. Cervenka I, Agudelo LZ, Ruas JL. Kynurenines: Tryptophan’s metabolites in exercise, inflammation, and mental health. Science. 2017;357(6349).
- 15. Chen Y, Guillemin GJ. Kynurenine pathway metabolites in humans: disease and healthy States. Int J Tryptophan Res. 2009;2:1–19. pmid:22084578
- 16. Guillemin GJ. Quinolinic acid: neurotoxicity. FEBS J. 2012;279(8):1355. pmid:22251552
- 17. Lovelace MD, Varney B, Sundaram G, Lennon MJ, Lim CK, Jacobs K, et al. Recent evidence for an expanded role of the kynurenine pathway of tryptophan metabolism in neurological diseases. Neuropharmacology. 2017;112(Pt B):373–88. pmid:26995730
- 18. O’Farrell K, Harkin A. Stress-related regulation of the kynurenine pathway: Relevance to neuropsychiatric and degenerative disorders. Neuropharmacology. 2017;112(Pt B):307–23. pmid:26690895
- 19. Maes M, Leonard BE, Myint AM, Kubera M, Verkerk R. The new ’5-HT’ hypothesis of depression: cell-mediated immune activation induces indoleamine 2,3-dioxygenase, which leads to lower plasma tryptophan and an increased synthesis of detrimental tryptophan catabolites (TRYCATs), both of which contribute to the onset of depression. Prog Neuropsychopharmacol Biol Psychiatry. 2011;35(3):702–21. pmid:21185346
- 20. Salter M, Pogson CI. The role of tryptophan 2,3-dioxygenase in the hormonal control of tryptophan metabolism in isolated rat liver cells. Effects of glucocorticoids and experimental diabetes. Biochem J. 1985;229(2):499–504. pmid:3899109
- 21. Guillemin GJ, Cullen KM, Lim CK, Smythe GA, Garner B, Kapoor V, et al. Characterization of the kynurenine pathway in human neurons. J Neuroscience. 2007;27(47):12884–92. pmid:18032661
- 22. Bessede A, Gargaro M, Pallotta MT, Matino D, Servillo G, Brunacci C, et al. Aryl hydrocarbon receptor control of a disease tolerance defence pathway. Nature. 2014;511(7508):184–90. pmid:24930766
- 23. Fatokun AA, Hunt NH, Ball HJ. Indoleamine 2,3-dioxygenase 2 (IDO2) and the kynurenine pathway: characteristics and potential roles in health and disease. Amino Acids. 2013;45(6):1319–29. pmid:24105077
- 24. Guillemin GJ, Smythe G, Takikawa O, Brew BJ. Expression of indoleamine 2,3-dioxygenase and production of quinolinic acid by human microglia, astrocytes, and neurons. Glia. 2005;49(1):15–23. pmid:15390107
- 25. Guillemin GJ, Smith DG, Smythe GA, Armati PJ, Brew BJ. Expression of the kynurenine pathway enzymes in human microglia and macrophages. Adv Exp Med Biol. 2003;527:105–12. pmid:15206722
- 26. Parrott JM, O’Connor JC. Kynurenine 3-Monooxygenase: An Influential Mediator of Neuropathology. Front Psychiatry. 2015;6:116. pmid:26347662
- 27. Lim CK, Fernandez-Gomez FJ, Braidy N, Estrada C, Costa C, Costa S, et al. Involvement of the kynurenine pathway in the pathogenesis of Parkinson’s disease. Prog Neurobiol. 2017;155:76–95. pmid:27072742
- 28. Myint AM. Kynurenines: from the perspective of major psychiatric disorders. FEBS J. 2012;279(8):1375–85. pmid:22404766
- 29. Schwarcz R, Bruno JP, Muchowski PJ, Wu HQ. Kynurenines in the mammalian brain: when physiology meets pathology. Nat Rev Neurosci. 2012;13(7):465–77. pmid:22678511
- 30. Al-Dubai SA, Al-Naggar RA, Alshagga MA, Rampal KG. Stress and coping strategies of students in a medical faculty in malaysia. Malays J Med Sci. 2011;18(3):57–64. pmid:22135602
- 31. Ludwig AB, Burton W, Weingarten J, Milan F, Myers DC, Kligler B. Depression and stress amongst undergraduate medical students. BMC Med Educ. 2015;15:141. pmid:26311538
- 32. Iqbal S, Gupta S, Venkatarao E. Stress, anxiety and depression among medical undergraduate students and their socio-demographic correlates. Indian J Med Res. 2015;141(3):354–7. pmid:25963497
- 33. Kulsoom B, Afsar NA. Stress, anxiety, and depression among medical students in a multiethnic setting. Neuropsychiatr Dis Treat. 2015;11:1713–22. pmid:26213470
- 34. Yusoff MS, Abdul Rahim AF, Yaacob MJ. Prevalence and Sources of Stress among Universiti Sains Malaysia Medical Students. Malays J Med Sci. 2010;17(1):30–7. pmid:22135523
- 35. Shaikh BT, Kahloon A, Kazmi M, Khalid H, Nawaz K, Khan N, et al. Students, stress and coping strategies: a case of Pakistani medical school. Educ Health (Abingdon). 2004;17(3):346–53. pmid:15848822
- 36. Loft P, Thomas MG, Petrie KJ, Booth RJ, Miles J, Vedhara K. Examination stress results in altered cardiovascular responses to acute challenge and lower cortisol. Psychoneuroendocrinology. 2007;32(4):367–75. pmid:17395393
- 37. Takatsuji K, Sugimoto Y, Ishizaki S, Ozaki Y, Matsuyama E, Yamaguchi Y. The effects of examination stress on salivary cortisol, immunoglobulin A, and chromogranin A in nursing students. Biomed Res. 2008;29(4):221–4. pmid:18724010
- 38. Myint K, Choy KL, Su TT, Lam SK. The effect of short-term practice of mindfulness meditation in alleviating stress in university students. Biomed Res-India. 2011;22(2).
- 39. Al-Ayadhi LY. Neurohormonal changes in medical students during academic stress. Ann Saudi Med. 2005;25(1):36–40. pmid:15822492
- 40. Lacey K, Zaharia MD, Griffiths J, Ravindran AV, Merali Z, Anisman H. A prospective study of neuroendocrine and immune alterations associated with the stress of an oral academic examination among graduate students. Psychoneuroendocrinology. 2000;25(4):339–56. pmid:10725611
- 41. Maduka IC, Neboh EE, Ufelle SA. The relationship between serum cortisol, adrenaline, blood glucose and lipid profile of undergraduate students under examination stress. Afr Health Sci. 2015;15(1):131–6. pmid:25834541
- 42. Marshall GD Jr., Agarwal SK, Lloyd C, Cohen L, Henninger EM, Morris GJ. Cytokine dysregulation associated with exam stress in healthy medical students. Brain Behav Immun. 1998;12(4):297–307. pmid:10080859
- 43. Assaf AM, Al-Abbassi R, Al-Binni M. Academic stress-induced changes in Th1- and Th2-cytokine response. Saudi Pharm J. 2017;25(8):1237–47. pmid:29204074
- 44. Lovibond SH, Lovibond PF. Manual for the Depression, Anxiety, Stress scales. Second edition ed. Sydney, Australia: School of Psychology, University of New South Wales; 2004.
- 45. Sundaram G, Brew BJ, Jones SP, Adams S, Lim CK, Guillemin GJ. Quinolinic acid toxicity on oligodendroglial cells: relevance for multiple sclerosis and therapeutic strategies. J Neuroinflammation. 2014;11:204. pmid:25498310
- 46. Jones SP, Franco NF, Varney B, Sundaram G, Brown DA, de Bie J, et al. Expression of the Kynurenine Pathway in Human Peripheral Blood Mononuclear Cells: Implications for Inflammatory and Neurodegenerative Disease. PLoS One. 2015;10(6):e0131389. pmid:26114426
- 47. Glaser R, Rice J, Sheridan J, Fertel R, Stout J, Speicher C, et al. Stress-related immune suppression: health implications. Brain Behav Immun. 1987;1(1):7–20. pmid:2837297
- 48. Holsen LM, Spaeth SB, Lee JH, Ogden LA, Klibanski A, Whitfield-Gabrieli S, et al. Stress response circuitry hypoactivation related to hormonal dysfunction in women with major depression. J Affect Disord. 2011;131(1–3):379–87. pmid:21183223
- 49. Pfau ML, Russo SJ. Peripheral and Central Mechanisms of Stress Resilience. Neurobiol Stress. 2015;1:66–79. pmid:25506605
- 50. Shanmugan S, Epperson CN. Estrogen and the prefrontal cortex: towards a new understanding of estrogen’s effects on executive functions in the menopause transition. Hum Brain Mapp. 2014;35(3):847–65. pmid:23238908
- 51. Fujimura H, Altar CA, Chen R, Nakamura T, Nakahashi T, Kambayashi J, et al. Brain-derived neurotrophic factor is stored in human platelets and released by agonist stimulation. Thromb Haemost. 2002;87(4):728–34. pmid:12008958
- 52. Numakawa T, Odaka H, Adachi N. Actions of Brain-Derived Neurotrophic Factor and Glucocorticoid Stress in Neurogenesis. Int J Mol Sci. 2017;18(11). pmid:29099059
- 53. Schmitt K, Holsboer-Trachsler E, Eckert A. BDNF in sleep, insomnia, and sleep deprivation. Ann Med. 2016;48(1–2):42–51. pmid:26758201
- 54. Hakansson K, Ledreux A, Daffner K, Terjestam Y, Bergman P, Carlsson R, et al. BDNF Responses in Healthy Older Persons to 35 Minutes of Physical Exercise, Cognitive Training, and Mindfulness: Associations with Working Memory Function. J Alzheimers Dis: JAD. 2017;55(2):645–57. pmid:27716670
- 55. Ledreux A, Hakansson K, Carlsson R, Kidane M, Columbo L, Terjestam Y, et al. Differential Effects of Physical Exercise, Cognitive Training, and Mindfulness Practice on Serum BDNF Levels in Healthy Older Adults: A Randomized Controlled Intervention Study. J Alzheimers Dis. 2019;71(4):1245–61. pmid:31498125
- 56. Neeley EW, Berger R, Koenig JI, Leonard S. Strain dependent effects of prenatal stress on gene expression in the rat hippocampus. Physiol Behav. 2011;104(2):334–9. pmid:21382392
- 57. Marmigere F, Givalois L, Rage F, Arancibia S, Tapia-Arancibia L. Rapid induction of BDNF expression in the hippocampus during immobilization stress challenge in adult rats. Hippocampus. 2003;13(5):646–55. pmid:12921353
- 58. Fan D, Li J, Zheng B, Hua L, Zuo Z. Enriched Environment Attenuates Surgery-Induced Impairment of Learning, Memory, and Neurogenesis Possibly by Preserving BDNF Expression. Mol Neurobiol. 2016;53(1):344–54. pmid:25432890
- 59. Zhong L, Yan CH, Lu CQ, Xu J, Huang H, Shen XM. Calmodulin activation is required for the enhancement of hippocampal neurogenesis following environmental enrichment. Neurol Res. 2009;31(7):707–13. pmid:19055875
- 60. Fiorentino DF, Bond MW, Mosmann TR. Two types of mouse T helper cell. IV. Th2 clones secrete a factor that inhibits cytokine production by Th1 clones. J Exp Med. 1989;170(6):2081–95. pmid:2531194
- 61. Elenkov IJ, Chrousos GP. Stress Hormones, Th1/Th2 patterns, Pro/Anti-inflammatory Cytokines and Susceptibility to Disease. Trends Endocrinol Metab. 1999;10(9):359–68. pmid:10511695
- 62. Hritcu L, Gorgan LD. Intranigral lipopolysaccharide induced anxiety and depression by altered BDNF mRNA expression in rat hippocampus. Prog Neuropsychopharmacol Biol Psychiatry. 2014;51:126–32. pmid:24508447
- 63. Zhang XY, Tan YL, Chen DC, Tan SP, Yang FD, Wu HE, et al. Interaction of BDNF with cytokines in chronic schizophrenia. Brain Behav Immun. 2016;51:169–75. pmid:26407757
- 64. Bjorkholm C, Monteggia LM. BDNF—a key transducer of antidepressant effects. Neuropharmacology. 2016;102:72–9. pmid:26519901
- 65. Park SW, Phuong VT, Lee CH, Lee JG, Seo MK, Cho HY, et al. Effects of antipsychotic drugs on BDNF, GSK-3beta, and beta-catenin expression in rats subjected to immobilization stress. Neurosci Res. 2011;71(4):335–40. pmid:21893111
- 66. Colin-Gonzalez AL, Maldonado PD, Santamaria A. 3-Hydroxykynurenine: an intriguing molecule exerting dual actions in the central nervous system. Neurotoxicology. 2013;34:189–204. pmid:23219925
- 67. Gobaille S, Kemmel V, Brumaru D, Dugave C, Aunis D, Maitre M. Xanthurenic acid distribution, transport, accumulation and release in the rat brain. J Neurochem. 2008;105(3):982–93. pmid:18182052
- 68. Sathyasaikumar KV, Tararina M, Wu HQ, Neale SA, Weisz F, Salt TE, et al. Xanthurenic Acid Formation from 3-Hydroxykynurenine in the Mammalian Brain: Neurochemical Characterization and Physiological Effects. Neuroscience. 2017;367:85–97. pmid:29031603
- 69. Lee WS, Lee SM, Kim MK, Park SG, Choi IW, Choi I, et al. The tryptophan metabolite 3-hydroxyanthranilic acid suppresses T cell responses by inhibiting dendritic cell activation. Int Immunopharmacol. 2013;17(3):721–6. pmid:24029595
- 70. Jhamandas K, Boegman RJ, Beninger RJ, Bialik M. Quinolinate-induced cortical cholinergic damage: modulation by tryptophan metabolites. Brain Res. 1990;529(1–2):185–91. pmid:2149296
- 71. Speciale C, Schwarcz R. On the production and disposition of quinolinic acid in rat brain and liver slices. J Neurochem. 1993;60(1):212–8. pmid:8417142
- 72. Badawy AA, Dougherty DM. Assessment of the Human Kynurenine Pathway: Comparisons and Clinical Implications of Ethnic and Gender Differences in Plasma Tryptophan, Kynurenine Metabolites, and Enzyme Expressions at Baseline and After Acute Tryptophan Loading and Depletion. Int J Tryptophan Res. 2016;9:31–49. pmid:27547036
- 73. Martin-Hernandez D, Tendilla-Beltran H, Madrigal JLM, Garcia-Bueno B, Leza JC, Caso JR. Chronic Mild Stress Alters Kynurenine Pathways Changing the Glutamate Neurotransmission in Frontal Cortex of Rats. Mol Neurobiol. 2019;56(1):490–501. pmid:29725904
- 74. Hufner K, Galffy M, Egeter J, Giesinger JM, Arnhard K, Oberacher H, et al. Acute and Chronic Mental Stress Both Influence Levels of Neurotransmitter Precursor Amino Acids and Derived Biogenic Amines. Brain Sci. 2020;10(6). pmid:32466550