Genetic and Epigenetic Factors Associated with Burnout Syndrome: A Comprehensive Review

Abstract

Burnout syndrome is increasingly recognized as a significant occupational health issue, characterized by emotional exhaustion, depersonalization, and a reduced sense of personal accomplishment. It predominantly arises from chronic work-related stress, but recent research has highlighted the role of genetic and epigenetic factors in determining individual vulnerability to burnout. This review aims to synthesize findings regarding the genetic footprints of burnout, focusing on genes related to stress regulation, including the 5-HTT (serotonin transporter) gene, BDNF (brain-derived neurotrophic factor) gene, and NR3C1 (glucocorticoid receptor) gene. Twin studies reveal that burnout is moderately heritable, with genetic factors accounting for 33–36% of the variability in burnout-related traits, such as emotional exhaustion and performance-based self-esteem. However, burnout risk seems highly driven by non-shared environmental factors, such as work stress, lack of social support, and personal coping mechanisms. Specific genetic polymorphisms in the serotonergic system (5-HTT) and HPA axis genes (NR3C1, FKBP5) have been linked to increased burnout susceptibility, particularly in individuals exposed to chronic job strain or early-life stressful situations. Variations in 5-HTT rs6354 and HTR2A rs6313 are associated with altered stress reactivity, while polymorphisms in NR3C1 and FKBP5 contribute to dysregulation of the HPA axis, which influences cortisol secretion patterns in response to stress. Increased methylation in genes like BDNF and SLC6A4 has been observed in individuals with burnout, suggesting that environmental stressors may lead to lasting changes in gene expression, contributing to the syndrome’s development. Studies on telomere length have shown that burnout is associated with accelerated cellular aging, with individuals exhibiting shorter telomeres, particularly during high-stress periods. These findings hold particular relevance for professionals within the forensic and justice systems, including law enforcement, the judiciary, and forensic experts, who operate under chronic, high-stakes stress. We examine how understanding the biological basis of burnout can inform more objective ‘fitness-for-duty’ evaluations and provide a scientific framework for distinguishing physiological exhaustion from professional negligence in legal contexts.

1. Introduction

Burnout is defined by the ICD-11 as a syndrome resulting from chronic workplace stress that has not been successfully managed, characterized by three dimensions: feelings of energy depletion or exhaustion; increased mental distance from one’s job, or feelings of negativism or cynicism related to one’s job; and reduced professional efficacy [1]. This syndrome often arises from workplace factors, which can be intrinsic (related to individual needs like autonomy) or extrinsic (work environment aspects). A lack of fulfillment in these areas increases the likelihood of burnout, while supportive environments and positive feedback can mitigate this risk by improving job satisfaction [2]. Furthermore, recent studies suggest that lifestyle factors, including diet and nutritional habits, are significantly associated with burnout symptoms and may serve as modifiable environmental moderators [3,4,5]. Recent evidence suggests that gut microbiota composition and diet are significantly associated with behavioral traits such as impulsivity in healthy adults [6]. Given this fact, gut microbiota can also be a significant factor in the development of burnout. As stated earlier, the latest ICD-11 defines burnout as “a syndrome conceptualized as resulting from chronic workplace stress that has not been successfully managed”. However, it is important to note that legal and medical approaches vary significantly across jurisdictions. For instance, in the Netherlands, ‘clinical burnout’ is recognized as a diagnosable disorder with specific classification and treatment guidelines [1]. Various scales are used to assess burnout, with the Maslach Burnout Inventory (MBI) [7] being the most widely recognized. Other scales include the Burnout Measure (BM), Copenhagen Burnout Inventory (CBI), and Shirom-Melamed Burnout Questionnaire (SMBQ) [8]. Based on research by Maslach et al., burnout consists of three key dimensions: emotional exhaustion, depersonalization (cynicism), and low personal accomplishment [9]. Emotional exhaustion reflects feeling drained from work interactions, while depersonalization involves detachment from others. Low personal accomplishment reflects diminished feelings of success at work, contributing to reduced productivity and well-being [10].

In the majority of the studies reviewed herein, the phenotype of burnout was assessed using the Maslach Burnout Inventory (MBI). While the MBI remains the most widely cited instrument, it has faced increasing criticism regarding its psychometric properties and its inability to provide a clinical diagnosis. The MBI yields a continuous score rather than a dichotomous diagnostic status, which can complicate case–control genetic designs. To address these shortcomings, newer instruments such as the Burnout Assessment Tool (BAT) have been developed. The BAT creates a more distinct conceptualization of the syndrome and provides empirically derived cutoff points for severe burnout, which may offer a more precise phenotype for future biological research [11]. However, given the historical dominance of the MBI, the genetic associations discussed in this review are primarily based on MBI-defined traits.

While the psychological dimensions of burnout are well-characterized, its physiological footprint is still under investigation. Chronic stress is known to disrupt glucose metabolism, and recent evidence highlights a direct link between burnout and metabolic health. Specifically, Fernandez-Montero et al. [12] demonstrated an association between burnout syndrome and increased insulin resistance, independent of other risk factors [12]. This suggests that the biological impact of burnout is not limited to the central nervous system or HPA axis but encompasses broader metabolic implications that may predispose individuals to somatic comorbidities.

The autonomic nervous system (ANS) is the number one responder to stress, with individuals experiencing burnout often showing reduced vagal tone with reduced heart-rate variability (HRV) [13]. Prolonged stress leads to an imbalance between the sympathetic and parasympathetic systems, elevating catecholamines and delaying recovery [14]. In cases of chronic stress and burnout, the hypothalamic–pituitary–adrenal (HPA) axis becomes dysregulated, causing abnormal cortisol and adrenocorticotropic hormone (ACTH) levels [15]. Initially, burnout may result in high cortisol levels, but prolonged exposure typically leads to low cortisol due to negative feedback on the HPA axis. Brain-derived neurotrophic factor (BDNF), essential for neuroplasticity and stress protection, is significantly lower in burnout patients [14,16,17]. Elevated glucocorticoid levels and reduced BDNF contribute to structural and functional changes in brain regions associated with glucocorticoid receptors, leading to neurogenesis deficits and increased corticotropin-releasing hormone (CRH) secretion, reinforcing HPA axis dysfunction [14]. Beyond the HPA axis and monoaminergic systems, the endocannabinoid system plays a pivotal role in emotional regulation and stress response. A key regulator within this system is Fatty Acid Amide Hydrolase (FAAH), the primary enzyme responsible for the catabolism of the endocannabinoid anandamide. FAAH activity influences a wide range of neurobehavioral processes, including pain modulation, anxiety, and sleep regulation. Variations in this enzyme have broad implications for brain function and behavior, thereby affecting susceptibility to various neuropsychiatric and somatic diseases by modulating endocannabinoid signaling efficiency [18]. Neuroimaging studies show structural and functional alterations in the limbic system, such as the amygdala, the cingulate gyrus (anterior and posterior), the dorsolateral prefrontal cortex, the hippocampus, as well as the diencephalon and the basal ganglia, in individuals experiencing burnout. Genetic studies have identified key variations in stress-related genes, such as NR3C1, SLC6A4, and BDNF, influencing the HPA axis through genetic polymorphisms and methylation patterns [14].

In our recent research conducted on forensic medicine professionals in Romania, we identified a significant prevalence of burnout syndrome, particularly aggravated by the crisis conditions of the COVID-19 pandemic [19]. We observed that while external pressures—such as increased workload and handling infectious remains—were critical triggers, they did not affect all personnel equally. Furthermore, our investigation into psychological mediators revealed that unconditional self-acceptance acts as a partial buffer against professional exhaustion [20]. However, even when accounting for these psychological and environmental variables, a portion of the variance in susceptibility remains unexplained. The observation that individuals exposed to identical forensic stressors exhibit vastly different resilience profiles suggests that intrinsic biological predispositions may play a fundamental role. Consequently, shifting focus to the genetic and epigenetic architecture of stress regulation is the next necessary step to fully understand the etiology of burnout in this population.

However, this biological shift carries profound implications beyond the laboratory. Currently, the World Health Organization’s ICD-11 classifies burnout strictly as an ‘occupational phenomenon’ rather than a medical condition, effectively placing the burden of management on workplace organization rather than individual pathology. Nevertheless, it is critical to recognize that this distinction is not universally accepted and has been subject to criticism. The classification largely stems from the historical lack of agreed-upon diagnostic pathways and objective biological markers. As recent reliability generalization meta-analyses of the Burnout Assessment Tool (BAT) indicate, the field is still striving to establish consistent diagnostic standards [21]. Until such consensus is reached, the ‘syndrome’ label remains a functional definition rather than a definitive exclusion of pathology. If, as this review suggests, burnout involves significant genetic predispositions, it challenges this classification. In high-risk professions such as aviation, medicine, the judiciary system or law enforcement, acknowledging a biological basis for burnout vulnerability raises critical legal questions. If a professional’s error is driven by a genetically mediated neurobiological collapse, does this constitute a diminished responsibility akin to a medical emergency, or does it remain simple negligence? Additionally, forensic professionals operate in high-stakes environments where cognitive accuracy, emotional regulation, and sustained attention are essential. Emerging evidence that genetic and epigenetic factors modulate individual vulnerability to burnout suggests that chronic occupational stress may differentially impair professional performance under identical working conditions. From a forensic perspective, this raises critical questions regarding error risk, professional liability, and institutional responsibility. Understanding the biological underpinnings of burnout may therefore contribute not only to prevention strategies but also to a more nuanced interpretation of professional conduct, negligence, and duty of care. This review, besides constructing the genetic basis of burnout, aims to bridge the gap between these emerging genetic findings and their potential to reshape the legal understanding of professional liability and fitness-for-duty in high-stakes environments.

2. Materials and Methods

2.1. Scope of This Review

This review aims to explore the role of genetic and epigenetic factors in the development of burnout syndrome, focusing on variations in stress-related genes, such as 5-HTT, BDNF, and NR3C1, as well as the impact of epigenetic changes in association with burnout syndrome. We also aimed to examine the interaction between genetic changes and environmental influences to clarify how these factors interact to increase vulnerability to burnout. Additionally, genetic and epigenetic changes in burnout can provide researchers with potential biomarkers, such as miRNA profiles, that could aid in the early detection and treatment of burnout. For more concise results, we formulated several questions to guide our literature review:

• How do specific genetic polymorphisms in stress-related genes influence individual susceptibility to burnout?
• To what extent do epigenetic modifications, such as DNA methylation, contribute to burnout, and can these changes be reversed through interventions?
• How does the interaction between genetic predisposition and environmental stressors affect the long-term risk of burnout?

2.2. Eligibility Criteria

The inclusion criteria were: (1) research articles; (2) studies utilizing qualitative, quantitative, or mixed methods; (3) genetic and epigenetic changes in association with burnout alone or in conjunction with other work-related psychological issues; and (4) study cohorts consisting of various population groups.

The exclusion criteria included (1) articles not defined as research, such as reviews, short communications, and letters to the editor; (2) research articles not focusing on genetic changes; (3) research articles that deal with other psychological issues alone and not associated with burnout syndrome.

2.3. Search Strategy and Study Selection

PubMed, Web of Science, ScienceDirect, Psychnet, and Google Scholar were used to compile a specialized literature database until April 2024. We used the following keywords: genetic, epigenetic, polymorphism, genes, mutations, burnout. After searching all databases, we retrieved 13,234 articles, from which 4653 duplicates were removed. Two reviewers screened the titles and abstracts of the remaining 8.581 articles, excluding 8.514 that did not relate to the inclusion criteria. The remaining 67 articles were full-text screened and assessed for eligibility, resulting in the exclusion of 39 studies: 21 were reviews, 6 were letters to the editor, 10 articles studied genetic changes in other work-related psychological issues, not burnout, and the last 2 studies presented only preliminary results, so they were excluded. A total of 28 research articles were included in the study (Figure 1).

Figure 1. PRISMA flow diagram for Search Strategy and Study Selection.

2.4. Study Cohorts’ Characteristics

The studies reviewed involved various cohorts, including large twin samples [22,23,24,25,26], healthcare professionals [27,28,29,30,31], university members [32,33,34], school students [35,36], and general occupational groups [37,38,39,40,41,42,43,44,45,46], with participant ages ranging from adolescence to late adulthood (Table 1). Twin studies from the Netherlands Twin Register [22,23] and the Swedish Twin Registry [24,25,26] involved 14,000 to 20,000 twins, including monozygotic (MZ) and dizygotic (DZ) twins aged between 18 and 65. In occupational settings, a study conducted on 1282 Chinese coal miners investigated genetic factors influencing burnout, with participants aged 18 to 63 years [47]. Additionally, 150 coal miners from different regions were assessed for burnout susceptibility based on genetic polymorphisms, specifically related to the serotonin transporter gene [48]. Lastly, 205 professionals were recruited from the Chinese Academy for Environmental Planning in Beijing, with ages ranging from 26 to 55 years [49] (Table 1).

Table 1. Overview of studies focusing on the role of genetic and epigenetic factors in the development of burnout syndrome.

	Study	Sample	Tissue	Genetic Assessment	Testing Method	Findings
1.	Middeldorp et al., 2006 [22]	- 4309 twins - 1008 siblings	-	Twin study	Bivariate genetic analysis	30% of the variance in burnout could be attributed to genetic factors
2.	Middeldorp et al., 2005 [23]	- 2707 twins - 736 siblings - 575 spouses	-	Twin study	Bivariate genetic analysis	22% of the variance in burnout shared environmental factors; 78% unique environmental factors
3.	Svedberg et al., 2016 [26]	14,875 monozygotic and dizygotic twins	-	Twin study	Bivariate genetic analysis	33–36% of the variance in performance-based self-esteem (PBSE) and exhaustion could be attributed to genetic factors
4.	Blom et al., 2012 [24]	20,286 twins	-	Twin study	Bivariate genetic analysis	33% of the variance in burnout symptoms was attributable to genetic factors for both men and women
5.	Blom et al., 2014 [25]	4446 twins	-	Twin study	Bivariate genetic analysis	Genetic factors—major role in the association between work-home interference and burnout, particularly in MZ female twins
6.	Li et al., 2024 [38]	992 individuals from general occupational groups	Blood	HTR2A rs6313, 5-HTT rs6354, FAAH rs324420 polymorphisms	Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry	- HTR2A rs6313 G/G genotype displayed lower levels of personal accomplishment (PA) under continuous stress - HTR2A rs6313 A/A genotype reported higher levels of PA under constant job stress - FAAH rs324420 A/A genotype associated with HTR2A rs6313 G/A genotype exhibited higher levels of cynicism and lower PA when exposed to childhood abuse
7.	Cao et al., 2018 [27]	376 doctors and nurses	Blood	5-HTT rs6354 polymorphism	Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry	- G/G and G/T genotypes exhibited higher levels of burnout in association with work-related stress in the low-stress group - T/T genotype exhibited higher levels of burnout in the high-stress group
8.	He et al., 2020 [49]	205 professionals from the Chinese Academy of Environmental Planning	Blood	BDNF rs2049046	Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry	- T/T genotype exhibited much lower serum BDNF levels compared to those with the A/T or A/A genotypes - A/T genotypes exposed to moderate stress reported higher levels of cynicism compared to A/A homozygotes
9.	Li et al., 2022 [32]	361 university members	Blood	BDNF rs16917237	Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry	T/T genotype carriers were found to experience more EE and cynicism compared to GG/GT genotypes in association with high job stress
10.	Li et al., 2024 [39]	990 individuals from general occupational groups	Blood	BDNF rs6265, FKBP5 rs1360780	Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry	- BDNF rs6265 C/C homozygotes showed a stronger positive association with EE under chronic work-related stress - FKBP5 rs1360780 T/T genotype was found to be more susceptible to cynicism under high levels of childhood abuse - FKBP5 rs1360780 T/T genotype associated with BDNF rs6265 C/C genotype exhibited higher levels of EE under conditions of high childhood trauma
11.	Jia et al., 2021 [33]	341 university members	Blood	BDNF rs6265	Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry	T/T alleles experienced higher levels of emotional exhaustion and depersonalization
12.	Starr et al., 2019 [35]	211 adolescents	Saliva	10 SNPs from four HPA axis-related genes: CRHR1 (rs4792887 T allele, rs110402 G allele, rs242941 T allele, rs242939 G allele, rs1876828 G allele), NR3C1 (rs41423247 G allele, rs10482605 T allele, rs10052957 A allele), NR3C2 (rs5522 G allele), and FKB5 (rs1360780 T allele)	KASPar allele-specific PCR	- Individuals with low genetic risk (low MGPS) exhibited steeper diurnal cortisol slopes, particularly under chronic stress - Participants with high genetic risk (high MGPS) showed a flatter cortisol slope
13.	Menke et al., 2014 [40]	- 12 males with job related exhaustion - 12 healthy controls	Blood	Expression of glucocorticoid receptor genes transcripts	rtPCR RNA expression	- Participants with burnout exhibited significantly higher basal cortisol levels and greater cortisol suppression - 1.6 times more transcripts were regulated in burnout cases than in controls
14.	Lin et al., 2023 [47]	- 150 coal miners with high burnout - 150 coal miners with low burnout	Blood	NR3C2 rs5522, rs2070950	Genotyping with improved multiplex ligation detection reaction (iMLDR)	- T allele of the rs5522 locus increased the risk of job burnout - CC genotype and C allele at rs2070950 associated with high levels of burnout
15.	He et al., 2019 [31]	376 hospital staff	Blood	CRHR1 rs110402	Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry	Individuals homozygous for the AA genotype reported significantly higher EE compared to G allele carriers in the high-stress group
16.	Yi et al., 2022 [48]	- 150 coal miners with high burnout - 150 coal miners from control group	Blood	GCCR rs41423247, rs17209237 SLC6A4 rs3794808, rs11080122	Genotyping with improved multiplex ligation detection reaction (iMLDR)	- SLC6A4 rs11080122 C/C genotype had a higher predisposition to develop burnout compared to those with the T/T genotype - GCCR rs41423247 G/G genotype had a higher risk of developing burnout, compared to those with the C/C genotype
17.	Wu et al., 2020 [34]	376 university members	Blood	OXTR rs2468498	Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry	- Individuals with poor sleep quality, C allele carriers (C/C and T/C genotypes) showed significantly higher levels of EE and CY compared to T homozygotes (T/T) - Individuals with good sleep quality, C allele carriers showed lower EE levels than T/T individuals
18.	Plieger et al., 2019 [46]	- 442 inpatients with affective disorders - 1099 healthy controls	Saliva	MAOA-uVNTR polymorphism	PCR with gel electrophoresis	Female carriers of the high-expressing MAOA-H allele who experienced high levels of stressful life events (SLEs) had significantly higher scores in both EE and CY
19.	Krammer et al., 2023 [41]	173 general population	Blood	miR-10a-5p, miR-15a-5p, miR-16-5p, miR-19b-3p, miR-26b-5p, miR-29c-3p, miR-106b-5p, miR126-3p, miR-142-3p, let-7a-5p, let-7g-5p, miR-21-5p, and miR-877-5p	rtqPCR miRNA expression	Participants in the stress group exhibited significantly higher expression of miR-10a, miR-15a, let-7a, let-7g, and miR-877 compared to the control group
20.	Alasaari et al., 2012 [28]	- 24 nurses from high work stress environment - 25 nurses from low work stress environment	Blood	SLC6A4 methylation	Bisulfite conversion and pyrosequencing	CpG1, CpG2, CpG3, CpG4, and CpG5 showed decreased methylation in high-stress individuals
21.	Bakusic et al., 2020 [42]	- 59 individuals with burnout - 70 healthy controls	Blood	BDNF methylation	Bisulfite conversion and pyrosequencing	Increased methylation in promoter I and promoter IV of the BDNF gene in individuals with burnout compared to healthy controls
22.	Petitpierre et al., 2022 [43]	11 individuals	Blood	DRD5 APC LIPE ANKRD11 ANKS1B PCM1	Bisulfite conversion and pyrosequencing	Increased methylation in genes such as DRD5, APC and LIPE and decreased methylation in genes ANKRD11, ANKS1B and PCM1 after acupuncture, which was also associated with reductions in burnout symptoms
23.	Bakusic et al., 2021 [44]	- 59 individuals with burnout - 70 healthy controls	Blood	NR3C1 SLC6A4 methylation	Bisulfite conversion and pyrosequencing	- Increased methylation at CpG21 in NR3C1 amplicon 1 was observed in the burnout group, while decreased methylation was found at CpG30 in amplicon 3 - In the SLC6A4 gene, CpG8 exhibited increased methylation in burnout individuals, which correlated with higher job stress
24.	Hoferichter et al., 2023 [36]	78 school children in grades 7 and 8	Saliva	Telomer length	Monochrome multiplex quantitative PCR	- Students with longer telomeres at the start of the year reported lower levels of burnout across the school year and by its end - Students who perceived a strong sense of belonging with their classmates tended to exhibit longer telomeres
25.	Thimmapuram et al., 2017 [29]	- 35 hospital members as meditators - 12 controls	Saliva	Telomer length	Monochrome multiplex quantitative PCR	A significant increase was observed in a subset of younger participants aged 24–33 years who practiced meditation
26.	Thakur et al., 2023 [45]	100 healthy individuals from general population	Blood	Telomer length	Monochrome multiplex quantitative PCR	A significant increase in telomere length in the meditators group compared to the non-meditators group, with an average telomere length of 0.83 in the meditators versus 0.77 in non-meditators
27.	Wei et al., 2022 [30]	120 nurses	Blood	Telomer length	Monochrome multiplex quantitative PCR	Telomere length was significantly shorter in the COVID-19 pandemic group compared to the pre-pandemic group
28.	Ahola et al., 2012 [37]	2911 working-age individuals	Blood	Telomer length	Monochrome multiplex quantitative PCR	Individuals with severe exhaustion had leukocyte telomeres that were, on average, 0.043 relative units shorter than those without exhaustion

Recruitment methods varied from randomized sampling and voluntary participation during routine physical examinations to self-reported questionnaires administered in occupational or educational settings. All participants were assessed using standardized measures, including structured interviews, laboratory tests, genetic analyses, and psychological questionnaires such as the Maslach Burnout Inventory (MBI) and Pines’ Burnout Measure (BM).

2.5. Genetic Testing Methods

Genetic testing across the reviewed studies involved a variety of methods aimed at identifying polymorphisms, methylation patterns, and telomere lengths associated with burnout. DNA was extracted using commercial kits and then amplified using polymerase chain reaction (PCR) techniques. For genotyping, several studies employed matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) [27,32,33,34,38,39,49], which was used to detect single nucleotide polymorphisms (SNPs) such as HTR2A rs6313, 5-HTT rs6354, OXTR rs2268498 and BDNF rs6265. High-throughput platforms, including KASPar allele-specific PCR and the Illumina BeadChip arrays, were utilized in specific studies to analyze HPA axis-related genes, such as CRHR1 and NR3C1 [31,35,40,47,48]. DNA methylation was analyzed using bisulfite conversion followed by pyrosequencing [28,42,43,44,50]. Additionally, telomere length was measured using quantitative PCR (qPCR) from DNA extracted from blood or saliva samples [29,30,36,37,45] (Table 1). The qPCR method enabled researchers to quantify relative telomere length by comparing the telomere repeat copy number to single-copy gene copy number (T/S ratio). To ensure reliability, most studies included quality control measures, such as re-genotyping 5% of samples, resulting in an error rate of less than 0.1%.

3. Discussions

3.1. Heritability of Burnout—Twin Studies

Twin-family designs provide critical baseline data on the heritability of burnout. In a Dutch cohort (4309 twins, 1008 siblings), genetic factors accounted for approximately 30% of burnout variance in men, whereas women demonstrated a stronger contribution from common environmental factors (15%) [22]. Subsequent analysis (2707 twins) indicated that familial clustering of burnout is primarily driven by the shared environment (22%) rather than genetics, a finding reinforced by significant burnout correlations between spouses in long-term relationships [23]. Large-scale Swedish studies replicated these estimates. Across a sample of 20,286 twins, heritability for burnout symptoms was calculated at 33% for both sexes, with the remaining 67% attributable to non-shared environmental factors [24]. Specific traits such as performance-based self-esteem (PBSE) and exhaustion showed similar heritability (33–36%), with 52% of the phenotypic correlation between them explained by shared genetic factors [26]. Furthermore, while genetic vulnerability, potentially linked to neuroticism, moderates Work-Home Interference (WHI), the impact of Work-Home Conflict appears to be largely environmental and independent of genetic predisposition [25]. Collectively, these data establish a consistent heritable component of roughly 30–36%, while highlighting that unique, individual-specific environmental stressors remain the predominant determinant of phenotype expression.

3.2. Genetic Variations in Serotonergic System Genes: The Role of 5-HT Polymorphism

The serotonergic system is a key neurotransmitter network that primarily regulates mood, emotional stability, and stress responses through the action of serotonin [51]. It plays a crucial role in various brain functions, including sleep, appetite, and emotional well-being, and operates through a complex interplay of serotonin receptors, transporters, and enzymes that control the synthesis, release, and reuptake of serotonin in the brain [51].

The serotonin transporter gene (SLC6A4/5-HTT) demonstrates significant gene-environment interactions regarding burnout. In healthcare workers (n = 376), the rs6354 SNP showed no direct association after correction; however, under high-stress conditions, T/T homozygotes exhibited significantly higher burnout levels compared to G-allele carriers, reversing the trend seen in low-stress groups [27]. Similarly, in coal miners (n = 150), the rs11080122 C/C genotype was associated with a higher predisposition to burnout compared to the T/T genotype [48]. Research on the 5-HT2A receptor (HTR2A) indicates that for rs6313, the G/G genotype is linked to lower Personal Accomplishment (PA) under continuous stress, whereas the A/A genotype appears protective [37]. Complex epistatic interactions have also been observed: individuals carrying both the FAAH rs324420 A/A and HTR2A rs6313 G/A genotypes exhibited higher cynicism and lower PA when exposed to childhood abuse. Furthermore, the FAAH A-allele interacted with the 5-HTT rs6354 T/T genotype to increase emotional exhaustion in subjects with a history of abuse [37].

3.3. BDNF Gene Polymorphisms

Brain-Derived Neurotrophic Factor (BDNF) is a key protein involved in neuronal growth, survival, and plasticity, playing a critical role in maintaining healthy brain function, particularly in areas associated with mood regulation and stress response [52].

Research into BDNF gene polymorphisms has yielded significant gene-environment findings. Regarding the rs2049046 SNP, while serum BDNF levels showed no direct main effect on burnout, T/T homozygotes exhibited significantly lower serum concentrations compared to A-allele carriers [49]. Under conditions of moderate work stress, A/T heterozygotes reported higher cynicism scores compared to A/A homozygotes [49]. The widely studied rs6265 (Val66Met) polymorphism shows population-specific effects. In Chinese teachers, T/T carriers experienced higher Emotional Exhaustion (EE) and Depersonalization (DP), while the C-allele appeared protective [33]. Conversely, in a mixed occupational cohort, C/C homozygotes demonstrated increased EE under chronic work stress and higher DP when exposed to childhood abuse [38]. Epistatic interactions further modulate this risk: the rs6265 C/C genotype, when combined with the FKBP5 rs1360780 T/T genotype, significantly increased EE risk in subjects with a history of childhood abuse [38]. Finally, regarding rs16917237, no direct association was found; however, T/T carriers exhibited higher EE and cynicism compared to GG/GT genotypes specifically under conditions of high job stress [32].

3.4. HPA Axis-Related Genes and Burnout Syndrome

The HPA axis plays a central role in the body’s response to stress, regulating the release of cortisol, the primary stress hormone. In individuals with burnout, dysregulation of the HPA axis often leads to abnormal cortisol levels, which can manifest as either elevated or downregulated in response to chronic stress [53].

Genetic investigations have identified critical polymorphisms in HPA-axis regulation. In a cohort of 300 coal miners, the NR3C2 rs5522 T-allele and rs2070950 C-allele (specifically the CC genotype) were associated with elevated burnout risk, particularly when combined with high occupational strain and negative coping [47]. Similarly, for the NR3C1 gene, the rs41423247 G/G genotype conferred a higher susceptibility to burnout compared to the C/C genotype [48]. Multi-locus approaches further clarify these risks. Starr et al. developed a profile score using 10 SNPs (including CRHR1, NR3C1, NR3C2, FKBP5); individuals with high genetic risk exhibited blunted diurnal cortisol slopes and, under chronic stress, increased fatigue and negative affect [35]. Regarding CRHR1 specifically, while no main effect was observed, the rs110402 A/A genotype significantly increased EE compared to G-carriers, specifically under conditions of high work stress [31].

Transcriptomic analyses of Glucocorticoid Receptor (GR) hypersensitivity reinforce this dysregulation. Burnout patients exhibited greater cortisol suppression following dexamethasone challenge, with 10,139 transcripts regulated compared to 6219 in controls [31]. Differentially expressed genes included C13ORF27, GPATCH8, and HIAT1 at baseline, with QTRTD1 (upregulated) and ETS1 (downregulated) showing significant divergence post-stimulation [39].

Finally, the FKBP5 rs1360780 polymorphism modulates the impact of childhood trauma. T/T homozygotes showed increased Cynicism under abuse conditions, whereas the T/C genotype was less affected [38]. Significant epistasis was noted: the FKBP5 T/T genotype combined with BDNF rs6265 C/C exacerbated EE, while the FKBP5 C/C plus BDNF T/T combination proved protective, preserving PA even in trauma-exposed subjects [38].

3.5. Other Gene Polymorphisms

Research on the Oxytocin Receptor gene (OXTR) highlights the critical role of sleep as a moderator. While the rs2268498 polymorphism showed no direct main effect on burnout, a significant interaction was observed with sleep quality: C-allele carriers (C/C and T/C) exhibited significantly higher EE and Cynicism when reporting poor sleep compared to T/T homozygotes. Conversely, under conditions of good sleep, the C-allele appeared protective, associating with lower exhaustion levels [34].

Regarding Monoamine Oxidase A (MAOA), the uVNTR polymorphism demonstrates sex-specific gene-environment interactions. Female carriers of the high-activity MAOA-H allele exhibited significantly higher scores in EE and Cynicism when exposed to high levels of stressful life events (SLEs) [46]. In contrast, male carriers of the low-activity MAOA-L allele showed no significant association with burnout phenotypes [46].

3.6. The Role of MicroRNA (miRNA) in the Pathogenesis of Burnout

miRNAs play a crucial role in gene silencing by regulating the expression of specific genes, and they have been implicated in the body’s response to chronic psychological stress [54].

Investigations into miRNA expression profiles have identified distinct biomarkers for burnout. In a comparative analysis, stressed individuals exhibited significant upregulation of specific miRNAs compared to controls: miR-10a (0.594-fold increase), miR-15a (0.279-fold), let-7a (0.653-fold), let-7g (0.362-fold), and miR-877 [40]. Phenotypically, these elevations correlate with specific symptoms: anxiety was associated with higher let-7a and let-7g levels, while chronic fatigue and migraines were linked to elevated let-7a, let-7g, and miR-15a. These findings suggest that stress-induced upregulation of these miRNAs may drive altered neuronal morphology and disrupted circuitry, contributing to the somatic and cognitive deficits observed in burnout syndrome [40].

3.7. Epigenetic Changes in Burnout Syndrome: The Role of DNA Methylation

As discussed earlier, there is a clear link between several biochemical systems, such as the HPA axis and the 5-HT systems, and the development of burnout syndrome, particularly through changes within the genetic basis of these systems. Beyond the genetic polymorphisms in NR3C1 and SLC6A4, epigenetic modifications, such as DNA methylation, also play a critical role in stress-related disorders, including burnout. DNA methylation is an epigenetic modification where a methyl group is added to the cytosine base of DNA, typically at CpG sites. This process can regulate gene expression by either silencing or reducing the activity of genes without changing the underlying DNA sequence [55].

Investigations into the HPA axis and serotonergic systems reveal distinct epigenetic signatures. In burnout patients, the NR3C1 gene exhibited increased methylation at CpG21 (amplicon 1) and decreased methylation at CpG30 (amplicon 3) [43]. The SLC6A4 gene showed hypermethylation at CpG8, which correlated with job stress [43]. Conversely, a separate cohort of nurses under high stress demonstrated hypomethylation across five CpG residues (CpG1–5) in the SLC6A4 promoter, suggesting that chronic stress may downregulate methylation to influence serotonin availability [28].

BDNF promoter regions also show consistent epigenetic modification. Burnout patients exhibited hypermethylation in promoters I and IV, which correlated positively with symptom severity; specifically, hypermethylation at promoter I was significantly associated with reduced serum BDNF levels [41].

Finally, therapeutic interventions appear to reverse some of these markers. Following acupuncture treatment, burnout patients showed increased methylation in DRD5 (dopamine receptor), APC, and LIPE, alongside decreased methylation in ANKRD11, ANKS1B, and PCM1 [42]. These shifts track with improvements in symptoms, highlighting the plasticity of dopamine and cAMP signaling pathways in recovery.

3.8. Association Between Telomere Length and Burnout Syndrome

Telomeres, the DNA-protein complexes located at the ends of chromosomes, progressively shorten with each cell replication, leading to telomere attenuation as cells age. Shorter telomeres are indicative of cellular aging and have been linked to adverse health outcomes. There is growing evidence that burnout and chronic stress can accelerate cellular aging [56]. Researchers are investigating whether the association between burnout and health issues is mediated by telomere length, a marker of biological aging.

In a representative Finnish cohort (n = 2911), individuals with severe exhaustion exhibited leukocyte telomeres that were, on average, 0.043 relative units shorter than controls, a significant difference even after adjustment for confounders [45]. Similarly, while pre-pandemic data on nurses showed no direct association, measurements taken during the COVID-19 pandemic revealed significantly shorter telomeres compared to the pre-pandemic group, highlighting the impact of acute systemic stress [30]. Social and behavioral factors appear to moderate this effect. In adolescents, longer baseline telomeres and a strong sense of social belonging predicted lower burnout levels throughout the school year [36]. Furthermore, longitudinal studies on Heartfulness Meditation (12 weeks) suggest a protective mechanism: meditators exhibited significantly longer telomeres compared to non-meditators (0.83 vs. 0.77), with specific benefits observed in younger participants (aged 24–33), indicating that stress-reduction practices may actively preserve genomic integrity [29,44].

4. Summary of Genetic and Epigenetic Findings

• Twin studies show that burnout has a moderate genetic component, with genetic factors accounting for around 33–36% of the variance in burnout traits such as exhaustion and performance-based self-esteem. However, non-shared environmental factors contribute most significantly to burnout development.
• Variations in the 5-HTT and HTR2A genes influence burnout susceptibility, especially under chronic stress. Certain genotypes, such as 5-HTT rs6354 T/T, heighten sensitivity to stress and increase burnout risk.
• Genetic variations in the BDNF gene contribute to burnout, with the rs6265 T/T genotype linked to higher levels of emotional exhaustion and depersonalization under job-related stress.
• Dysregulation of the HPA axis, driven by genetic variations in NR3C1, CRHR1, and FKBP5 genes, is strongly associated with burnout. Specific polymorphisms, such as NR3C1 rs5522, rs41423247 and CRHR1 rs110402, increase the risk of burnout, particularly when combined with occupational stress.
• Changes in miRNA expression are linked to burnout, with elevated levels of miR-10a, miR-15a, let-7a, and let-7g observed in individuals experiencing burnout. These miRNAs may contribute to altered neuronal function and stress response.
• DNA methylation in stress-related genes, such as NR3C1, BDNF and SLC6A4, is implicated in burnout. Increased methylation in specific CpG sites of these genes correlates with burnout symptoms and stress exposure.
• Burnout and chronic stress are associated with shorter telomere length, a marker of accelerated cellular aging. Individuals with higher burnout levels tend to have shorter telomeres, particularly during high-stress periods, highlighting the potential role of stress in biological aging and the development of chronic disease in these individuals.

5. Future Perspective and Key Research Implications

• Although this review adopts a person-centric perspective, focusing on biological vulnerabilities and genetic susceptibility, it is critical to acknowledge that burnout is fundamentally rooted in the organizational context. The direction of causality is not unidirectional. The relationship between stressors and burnout is complex, with evidence supporting reverse causation, where burnout itself may alter an individual’s perception of or exposure to organizational strain [57]. Therefore, while genetic factors may moderate susceptibility, the causal pathway from organizational environment to individual strain remains a primary determinant that cannot be discounted.
• Given the genetic predisposition to burnout, particularly through the serotonergic system, BDNF, and HPA-axis gene variations, personalized stress management and intervention strategies tailored to an individual’s genetic risk could improve resilience and reduce burnout symptoms.
• The role of DNA methylation in stress-related genes suggests that epigenetic therapies or lifestyle changes, such as physical activity and stress-reducing practices like meditation, may help reverse or mitigate the effects of chronic stress on burnout.
• Identifying genetic markers, such as specific polymorphisms in 5-HTT, BDNF, and NR3C1, could aid in screening individuals at higher risk for burnout, allowing for early interventions in high-stress occupations like healthcare and education.
• Techniques such as Heartfulness Meditation can help alleviate burnout symptoms and also preserve telomere length, slowing down the biological aging effects of chronic stress, particularly in younger individuals or those in high-stress environments [58].
• miRNA profiles could be used as potential biomarkers for diagnosing and monitoring burnout, enabling more accurate detection of stress-related neural alterations and early treatment before severe burnout develops.
• The field is increasingly recognizing the necessity of a multi-omics approach, integrating genomic data with metabolic, metabolomic, and microbiome profiles. Incorporating these broader biological markers alongside polygenic risk indices will likely enhance the predictive value of biological models for burnout, offering a more holistic view of individual vulnerability than genetic markers alone.

6. Forensic and Legal Implications

Despite the significant associations identified between specific polymorphisms (e.g., 5-HTT, BDNF) and stress susceptibility, it is imperative to exercise extreme caution when applying these findings to employment matters or individual risk assessments. Single genes provide only limited predictive value for complex behavioral phenotypes like burnout. As the field advances, the focus is shifting toward Polygenic Risk Indices (PRIs)—aggregate scores that sum the effects of thousands of genetic variants—similar to those currently being constructed for aggression, substance use disorder, and antisocial behavior. However, even within this broader genomic framework, forensic application remains premature. As noted by Andreassen et al. (2023), polygenic risk scores for behavioral and mental health traits currently demonstrate low explained variance. For example, educational attainment, which represents one of the largest Genome-Wide Association Studies (GWAS) for a non-somatic trait, has an explained variance of only approximately 11–13% [59]. This distinction between population-level heritability and individual-level variance is essential in a legal context. While genetic data contributes to our understanding of biological susceptibility, it currently lacks the precision required to determine fitness for duty, predict specific professional errors, or establish liability in court with the certainty required by legal standards.

Traditionally, errors caused by exhaustion are treated as negligence (the professional failed to manage his fatigue). However, if burnout is reframed as a disease with a genetic etiology, comparable to depression or a metabolic disorder, the legal defense of professionals may shift. Significantly, this perspective does not advocate for biological determinism, nor does it seek to revive outdated theories that subordinate liability to phenotype. Human action remains a product of intellectual capacity and free will. However, in cases of catastrophic professional error, objective biological data could serve to contextualize, not excuse, performance failures. Rather than citing ‘biological incapacity’ to absolve negligence, such evidence might be used to demonstrate ‘physiological exhaustion’ within a fitness-for-duty framework. This distinguishes between a willful dereliction of duty and a systemic failure to manage the biological toll of chronic occupational stress. Consequently, the forensic discourse must evolve beyond a reductionist view of single-gene determinism. While a specific genetic or epigenetic predisposition viewed in isolation cannot be rendered as a determinant of criminal irresponsibility, the cumulative biological reality is far more complex. As argued by Sapolsky, human behavior at any given moment is the culmination of a trajectory involving polygenic risk, metabolic and endocrine states, and microbiome composition, all interacting with the exposome [60]. In cases involving professional errors, delayed procedures, or compromised judgment, actions which can indeed cross the threshold into criminal negligence in punitive legal systems, this ‘total biological package’ becomes relevant. Burnout represents a state where this biological machinery is dysregulated. Therefore, while current legal standards largely presume free will, the integration of multi-omics and environmental history provides a robust framework for understanding the physiological constraints on decision-making. This does not necessarily negate liability, but it provides critical context for assessing mens rea and culpability in professionals operating under extreme physiological strain.

The recognition of biologically mediated burnout susceptibility reinforces the legal and ethical obligation of organizations to implement preventive occupational health measures. Employers who systematically expose personnel to excessive workloads, chronic trauma, or insufficient recovery periods may inadvertently amplify burnout risk in genetically vulnerable individuals, potentially increasing the likelihood of errors. In this context, failure to adopt evidence-based prevention strategies may carry legal consequences related to organizational negligence and breach of duty of care.

While a biological model might offer legal protection for the individual after an error, will it pose a threat before employment? If resilience is genetically modulated, employers in high-stakes industries like airlines, hospitals or law enforcement might seek to screen candidates for “resilience alleles” to reduce institutional liability. This raises urgent ethical concerns regarding genetic discrimination. Application of genetic and epigenetic information must remain strictly preventive and non-discriminatory. Currently, pre-employment screening for high-stakes professions, such as law enforcement, relies heavily on self-report personality inventories and clinical interviews. However, research indicates that these tools often have limited predictive validity regarding future performance or stress resilience [61,62]. In the era of multi-omics, relying solely on these traditional methods while ignoring objective biological markers presents its own ethical dilemma. While genetic data alone should not dictate employment decisions, integrating bioinformatics into a broader psychological composite could significantly enhance ‘fitness for duty’ assessments. This is particularly critical where professional burnout directly endangers public safety. For instance, burnout in police officers has been identified as a predictor of aggression and excessive use of force [63]. Similarly, physiological states and burnout in the judiciary have been linked to variations in sentencing severity [64]. In these high-stakes contexts, the argument shifts: rather than viewing biological screening solely as discriminatory, one must consider whether it is ethical to ignore biological factors that predispose individuals to behaviors resulting in societal harm. A modern forensic approach advocates for a holistic risk model, one that uses biological data not to stigmatize, but to identify those requiring enhanced monitoring or preventive intervention before professional duties are compromised.

The proposed integration of biological data into risk assessment mirrors current advancements in broader criminal justice contexts. Experts are increasingly arguing that traditional paper-and-pencil testing lacks the precision required for robust risk prediction. As highlighted by van Dongen et al. (2025), the field is moving toward ‘neuroprediction,’ utilizing neuro-imaging and bioinformatics to assess risks of violence and criminal behavior [65]. While the target population in this review differs, focusing on high-functioning professionals rather than criminal offenders, the methodological lesson is transferable: subjective self-reports are insufficient. The incorporation of objective bio-markers offers a pathway to more accurate, data-driven risk assessments across forensic domains.

Consequently, the path forward lies not in avoiding biological evidence, but in refining it. While ethical safeguards against misuse remain paramount, it is critical to recognize that relying on subjective, paper-and-pencil assessments carries its own inherent biases and limited predictive validity. The integration of genomic and multi-omics markers offers the opportunity to surpass these outdated tools with objective, quantifiable data. Ultimately, establishing a bio-psycho-social framework for burnout will not only enhance the accuracy of forensic assessments but also facilitate fairer, more effective determinations of fitness-for-duty, allowing the legal system to better distinguish physiological failure from professional negligence.

7. Conclusions

This review illustrates that burnout syndrome is not merely a subjective psychological response to workplace stress but a distinct phenotype rooted in complex biological susceptibility. While organizational factors remain the primary trigger, the literature confirms that genetic variations in the HPA axis, neurotransmitter systems, and neurotrophic factors significantly moderate individual vulnerability. However, a reductionist focus on single genes is insufficient. As discussed, the future of forensic assessment lies in a multi-omics approach, integrating genomic data with metabolic, microbiome, and exposome profiles to create a holistic biological risk model. Consequently, the path forward lies not in avoiding biological evidence, but in refining it. While ethical safeguards against misuse remain paramount, it is important to recognize that relying on subjective, paper-and-pencil assessments carries its own inherent biases. The integration of objective biomarkers offers the opportunity to surpass these tools, facilitating fairer, more effective determinations of fitness-for-duty and allowing the legal system to better distinguish physiological exhaustion from professional negligence.