Skip to main content
Annals of General Psychiatry logoLink to Annals of General Psychiatry
. 2025 May 29;24:36. doi: 10.1186/s12991-025-00575-9

Inflammatory markers and suicidal behavior: A comprehensive review of emerging evidence

Valentina Baldini 1,2,, Martina Gnazzo 2, Giorgia Varallo 2, Anna Rita Atti 1, Diana De Ronchi 1, Andrea Fiorillo 3, Giuseppe Plazzi 2,4
PMCID: PMC12124015  PMID: 40442662

Abstract

Background

Suicidal behavior represents a significant public health challenge, and identifying biological markers associated with its risk is critical for prevention and intervention. Emerging evidence suggests a link between inflammation and suicidality, highlighting the role of inflammatory markers as potential biomarkers and therapeutic targets.

Methods

We conducted a systematic search across four electronic databases, including PubMed, Web of Science, EMBASE, and PsycINFO, to identify studies examining the association between inflammatory markers (e.g., C-reactive protein, interleukin-6, tumor necrosis factor-alpha) and suicidal ideation or behavior.

Results

31 studies met the inclusion criteria. Elevated levels of inflammatory markers were consistently associated with an increased risk of suicidal behavior across diverse populations. This relationship’s mechanisms likely involve cytokine-mediated alterations in neurotransmitter systems, neuroplasticity, and stress response pathways. Though robust clinical trials are scarce, preliminary evidence suggests that anti-inflammatory interventions may reduce suicidality.

Conclusions

Inflammation appears to play a significant role in the pathophysiology of suicidal behavior, offering promising avenues for biomarker development and novel therapeutic strategies. Future research should prioritize longitudinal studies, standardized methodologies, and exploration of personalized anti-inflammatory treatments to better elucidate the inflammation-suicidality link and enhance clinical applicability.

Keywords: Inflammatory markers, Suicidality, Biomarkers, Cytokines, Neuroinflammation, Suicide prevention

Introduction

Suicidal behavior represents a significant global phenomenon and a critical public health issue. Conservative estimates indicate that over 700,000 individuals die by suicide annually [1]. Despite growing research efforts in recent years, the pathophysiological mechanisms underlying suicidal behavior remain poorly understood, mainly due to the complex interplay of diverse risk factors across multiple domains. Most studies conceptualize suicidal behavior within a stress-diathesis framework, which highlights the role of distal vulnerability factors (e.g., family history of suicide, early-life adversity, and genetic predispositions) alongside proximal stressors (e.g., psychiatric disorders, feelings of hopelessness, or sleep disorders) [25].

While research has extensively explored psychosocial risk factors, the biological underpinnings of suicidal behavior remain less understood but increasingly recognized as crucial contributors [6, 7]. In recent years, the role of inflammation as a mediator of suicide risk has gained significant attention. This interest is rooted in growing evidence linking immune system dysregulation to alterations in brain function, which may drive behavioral changes associated with suicidality [8]. Elevated levels of systemic inflammatory markers, including cytokines such as interleukin-6 (IL-6), interleukin-1β (IL-1β), C-reactive protein (CRP), and tumor necrosis factor-alpha (TNF-α), have been consistently observed in individuals with major depressive disorder, particularly those exhibiting suicidal thoughts or behaviors [9]. These markers are thought to influence neurobiological pathways, such as serotonergic signaling, the hypothalamic-pituitary-adrenal (HPA) axis, and microglial activation, which have long been implicated in the pathophysiology of mental illness and suicide [10].

Furthermore, the relationship between inflammation and suicidal behavior may be modulated by other factors, such as genetic predispositions, chronic stress, and environmental exposures. For example, specific polymorphisms in inflammatory genes have been associated with increased suicide risk, suggesting a potential gene-environment interaction [11]. Similarly, stress-induced activation of the immune system, often observed in individuals with a history of trauma or chronic adversity, may exacerbate inflammatory responses, creating a feedback loop that amplifies neuropsychiatric symptoms and vulnerability to suicide [12].

Despite these findings, critical gaps remain in understanding the precise mechanisms linking inflammation to suicidality. For instance, it is unclear whether inflammation is a direct causal factor or a downstream effect of psychiatric comorbidities. Additionally, the variability in study methodologies, ranging from sample selection to biomarker measurement, has contributed to inconsistent results across the literature [13]. These limitations underscore the need for comprehensive reviews integrating findings from diverse studies to provide a clearer picture of this complex relationship.

This review aims to synthesize emerging evidence on the role of inflammatory markers in suicidal behavior, evaluate the clinical and mechanistic implications of these findings, and identify gaps in the literature that require future research. By elucidating the biological underpinnings of suicidality, we hope to contribute to the development of novel therapeutic approaches that target inflammation and reduce suicide risk. Based on the emerging evidence, we hypothesized that elevated levels of pro-inflammatory cytokines are associated with an increased risk of suicidal behavior across different populations, and that inflammation might represent a pathophysiological mechanism linking psychiatric disorders and suicidality.

Method

This systematic review was conducted and reported according to the preferred reporting items for systematic reviews and meta-analysis PRISMA guidelines [14]. The study protocol was registered in advance on PROSPERO (CRD42024624050).

Search strategy

A systematic search was conducted on PubMed, Web of Science, EMBASE, and PsycINFO using the following search criteria (“systemic inflammation” OR “inflammatory biomarkers” OR “neuroinflammation” OR “cytokines” OR “CRP” OR “IL-6” OR “TNF-alpha”) AND (“suicide” OR “suicidal ideation” OR “suicide attempt” OR “suicidal behavior”).

Eligibility criteria

We included studies that examined the association between inflammatory markers and suicidal behavior, including suicidal ideation, attempts, or completed suicide, in human populations. Eligible studies assessed inflammatory markers such as CRP, IL-6, TNF-α, or other cytokines. Observational study designs (e.g., cross-sectional, case-control, and cohort studies) and clinical trials were included. There were no restrictions on participant age, sex, or geographical location. Studies were required to provide original data and report precise measurements of inflammatory markers and suicidal outcomes. Only articles published in English were considered, and no restrictions were applied regarding publication date.

Selection of the studies

All relevant original research articles were identified based on their titles and abstracts during the screening phase. At this stage, articles without pertinent information, including those not written in English, reviews, conference abstracts, editorials, and viewpoints, were excluded. Full texts of the articles derived from the screening phase were reviewed to determine whether they met the selection criteria. These full texts were also searched manually to identify additional studies. The selection was conducted by two reviewers (VB and MG) in a double-blinded process. No sex or age criteria were used for article eligibility.

Data extraction

Data extraction was performed systematically to ensure the consistency and accuracy of information gathered from all included studies. A standardized data extraction template was developed to collect relevant details comprehensively. Information extracted included study characteristics, such as author names, publication year, and sample size. Specific information about the study populations, including diagnostic categories (e.g., major depressive disorder, bipolar disorder, schizophrenia), demographic information, and subgroup classifications (e.g., suicidal versus non-suicidal participants), were recorded. Key data related to inflammatory biomarkers were meticulously documented. This included the specific biomarkers analyzed (e.g., CRP, TNF-α, IL-6), the means of assessment (e.g., plasma, serum, cerebrospinal fluid, or postmortem tissue), and the context in which the measurements were obtained (e.g., in vivo, in vitro, or postmortem analysis). Information on the clinical scales and instruments used to evaluate depressive symptoms and suicidality was also extracted.

To ensure rigor, data extraction was conducted independently by two reviewers (VB and MG). Any discrepancies between reviewers were resolved through discussion and, when necessary, evaluated by a third reviewer. Extracted data were cross-checked against the original studies to ensure fidelity to the source materials and eliminate errors.

Quality assessment

The Newcastle–Ottawa Quality Assessment Scale was used to evaluate the risk of bias in the studies included in our analysis. Based on their risk of bias, studies were classified into low (≥ 7 stars), moderate (5–6 stars), or high (≤ 4 stars), with a maximum quality score of 9 stars. Two investigators (VB and MG) independently performed the quality assessments, and any disagreements were settled through discussion and consensus. If needed, a third investigator was involved to resolve any remaining conflicts.

Results

Flow-chart of included studies

Search results are summarized in the Prisma Flow Chart (Fig. 1). The electronic and manual literature search yielded 849 studies, 822 of which underwent title/abstract screening after removing duplicates. After this process, 112 full-text were assessed for eligibility, and 31 studies were finally included in the systematic review [12, 1546].

Fig. 1.

Fig. 1

Flow-chart describing the study selection process

Ratings of study quality and risk of bias

According to the study quality ratings, 22 studies were of good quality, 6 were of moderate quality, and 3 were of poor quality. Since most studies were of moderate or good quality, the risk of bias from studies included in this review was low. Two researchers independently performed data extraction on the variables of the studies.

Characteristics of the included studies

The studies included in this analysis encompass diverse populations, inflammatory biomarkers, and methodological approaches, providing comprehensive insights into the relationship between inflammation and suicidality. Participant groups varied significantly, including individuals with major depressive disorder, bipolar disorder, schizophrenia, and healthy controls. Sample sizes ranged from small cohorts, such as 6 participants [34], to larger studies, including over 600 cases [37]. Table 1 reports the details of the studies analyzed.

Table 1.

Clinical characteristics of the studies included

Author, year Population in study Inflammatory markers In vivo/In vitro plasma/ CSF postmortem Scales Main findings
Bai, 2024 287 BD with SA, 344 MDD with SA, 169 HC CRP, TNF-α In vivo serum MADRS An elevated CRP level was associated with more severe suicidal symptoms. Patients with BD were more likely to have an increased TNF-α level compared with those with MDD.
Bai, 2024 51 SA adolescents CRP, IL-6 In vivo plasma SIQ-JR

Inflammation– specifically, IL-6– may be a

viable biological marker of short-term risk of self-harm, and that it may reflect precipitating stressors that likewise increase risk of self-harm.

Bergmans, 2019 330 MDD with SA CRP In vivo serum PHQ-9 Pro-inflammatory mechanisms associated with innate immunity, do not distinguish MDD with suicidal ideation from MDD without suicidal ideation.
Boehm, 2010 40 SA IL-8, TNF-α, ICAM-I Postmortem - Significantly stronger positivity of TNF-α in suicidal victims versus controls.
Castillo-Avila, 2022 18 SA IL-6 In vivo plasma C-SSRS Increased levels of IL-6 serum in individuals who had just attempted suicide.
Chang, 2017 58 MDD with SA CRP In vivo serum HAM-D

In comparison with non-suicidal MDD, suicidal MDD re-

presents a clinical phenotype with more pronounced inflammatory features.

Chen, 2024 94 MDD with SA CRP, TNF-α In vivo serum MADRS Suicidal symptoms are associated with increased serum levels of CRP and TNF-α adolescents and young adults with MDD.
Defayette, 2023 42 SA IL-6, TNF-α In vivo plasma C-SSRS, DASS-21 Increases proinflammatory activity among university-recruited emerging in adults with a recent history of suicidal thoughts and behaviors.
Eidan, 2019 22 MDD with SA IL-6, INF-γ In vivo serum HAM-D, BDI These findings do not support the hypothesis that IL-6, INF-g, and lipid levels are associated with suicide attempts in adult MDD patients.
Gabbay, 2009 12 MDD SA, 18 non-suicidal MDD, 15 HC IL-1β, IL-4, IL-6, TNF-α, IFN-γ In vivo plasma

C-SSRS,

BDI

Decreased TNF-α plasma levels in suicidal depressed adolescents and non-suicidal depressed patients. Increased IFN-γ plasma levels in suicidal and non-suicidal versus controls.
Gananca, 2021 80 MDD with SA IL-1β, IL-6, TNF-α In vivo serum HAM-D Do not support a role for a persisting pro-inflammatory state within five years of suicide attempt.
Hoprekstad, 2024 141 SCZ with SA IL-1β, IL-2, IL-4, IL-6, IL-10, IFN-γ, and TNF-α In vivo serum PANSS, CDSS, CGI-SS

An inverse correlation between serum levels of the two

cytokines IL-2 and IL-10 and suicidality.

Huang, 2022 77 BD CRP, IL-6, TNF-α In vivo serum MADRS, YMRS The serum level of TNF-α were found to be positively correlated with suicidal ideation among patients with BD.
Janelidze, 2011

47 SA,

17 non-suicidal MDD, 16 HC

IL-2, IL-6, IL-8,

TNF-α

In vivo plasma MADRS Increased levels of IL-6, TNF-α and decreased IL-2 concentrations in suicide attempters compared to non-suicidal depressed patients and controls.
Janelidze, 2015

206 SA,

578 HC

IL-8 In vivo plasma MADRS Significantly lower of IL-8 plasma and CSF levels in suicide attempters with anxiety than in controls. IL-8 plasma and CSF levels correlated negatively with symptoms of anxiety.
Jiang, 2022 14 BD SA, 24 BD non-suicide attempters, 26 HC IL-1β, IL-6, TNF-α In vivo plasma HAM-D, YMRS BD with SA exhibited specifically increased IL-6 levels.
Lee, 2010

124 SA MDD

patients, 61 non-suicidal MDD,

125 HC

TGF-1β In vitro plasma HAM-D Significantly higher in vitro TGF-1β levels in depressed patients than in controls.
Li, 2013

49 SA MDD

patients,

64 HC

TNF-α In vivo plasma HAM-D Plasma TNF-α levels significantly decreased in responder patients following venlafaxine treatment. A greater reduction in TNF-α levels correlated to a greater reduction in HDRS scores.
Lòpez Villatoro, 2024 35 BP, 23 HC TNFα In vivo plasma SCID, CGI, GAF,

the study reveals three inflammatory/oxidative biomarker

components with the predictive value of suicide attempts and two components predictive of non-suicidal self-injurious behaviors.

Maes, 2024 66 MDD with SA, 67 HC TNFα, IL-4, IL-10, IL-17, IL-13 In vivo serum BDI, HAM-D HC had reduced IL-10 levels.
Mendlovic, 1999

6 SA MDD

patients, 3 non-suicidal MDD patients, 9 HC

IL-2, IL-4,

IL-5, IL-10, IFN- γ

In vitro plasma HAM-D, BDI Suicidal depressed patients secreted significantly more IFN-γ than controls. Non-suicidal depressed patients secreted significantly less IFN-γ than controls.
Pandey, 2012

24 SA adolescents,

24 HC adolescents

TNF-α, IL-1β, IL-6 Postmortem - Significantly increased IL-1β, IL-6 and TNF-α levels in Brodmann area of suicide victims compared with controls.
Rengasamy, 2020 38 SA, 38 SI, 36 HC IL-10, TNFα, IL-6R In vivo plasma - TNFα and IL-10 levels to be positively associated with SA.
Russell, 2021 687 SA, 605 HC CRP In vivo plasma - No evidence for an association between CRP and suicide
Saadat, 2024 30 MDD with SA, 30 MDD without SA, 26 HC CRP, BDNF In vivo serum BDI The concentration of BDNF differed significantly between depressed patients with/without suicide attempts and healthy controls.
Sun, 2023 38 MDD with SA, 41 MDD without SA, 33 HC IL-1β, IL-4, TNF-α, IFN-γ, IL-6 In vivo plasma BDI, SSI Current depression and history of SA, decreases in levels of SI were significantly associated with decreases in IL-6.
Tian, 2024 42 MDD with SI, 46 MDD without SI IL-1β, IL-2, IL-6, IL-8, IL-10, TNF-α In vivo plasma HAM-D

High level of plasma IL-2 level is associated higher risk

of SI among MDD.

Tonelli, 2008

34 completed suicides,

17 HC

IL-4, IL-13 Postmortem - Respectively increased expression of IL-4 and IL-13 in female and male suicide victims.
Xu, 2022 29 MDD with SI, 26 MDD without SI

IL-1α, IL-1β, IL-1RA, IL-2, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-10, IL-12, IL-12 p70, IL-13, IL-15, IL-16, IL-27, IL-31,

TNF-α, Tie-2, IFN-γ, GM-CSF, FGF

In vivo serum BDI MDD patients with SI showed higher levels of IL-17 C, CXCL10, and TNF- β, and lower levels of CCL26 and VEGF compared to MDD patients without SI.
Yang, 2024 42 SA, 31 without SA IL-1β, IL-6, IL-18, IL-10, TNF-α In vivo serum MINI The higher the levels of IL-6, CRP, TNF-a, CXCL-2, and IFN-g and the lower the levels of IL-2 and IL-8 of MDD patients, the higher the risk of suicide.
Yeşilkaya, 2024 31 SCZ with SA, 69 SCZ HC CRP In vivo plasma PANSS, C-SSRS Levels of inflammation are not different in SCZ patients with SA than in non-suicidal SCZ patients.

BD = Bipolar Disorder; MDD = Major Depressive Disorder; HC = Healthy Control; SA = Suicide attempt; SI = Suicide ideation; MADRS = Montgomery Asberg Depression Rating Scale; SIQ-JR = Suicidal Ideation Questionnaire; PHQ-9 = Patient Health Questionnaire; C-SSRS = Columbia -Suicide Severity Rating Scale; HAM-D = Hamilton Rating Scale for Depression; DASS-21 = Depression Anxiety Stress Scales; BDI = Beck Depression Inventory; PANSS = Positive and Negative Syndrome Scale; CGI-SS = Clinical Global Impression of Severity Suicide Scale; YMRS = Young Mania Rating Scale; MINI = International Neuropsychiatry Interview; SSI = Scale for Suicidal Ideation

A range of inflammatory biomarkers was assessed, with CRP, TNF-α, and IL-6 being the most investigated markers. These biomarkers were measured in vivo (plasma or serum) and, less frequently, in postmortem tissues. The most frequent analytical scales included the Hamilton Depression Rating Scale (HAM-D), Montgomery-Åsberg Depression Rating Scale (MADRS), and Columbia-Suicide Severity Rating Scale (C-SSRS).

Findings revealed significant associations between elevated levels of inflammatory markers and suicidality. For example, elevated CRP was frequently linked with severe suicidal symptoms [18, 21]. Similarly, elevated IL-6 and TNF-α were associated with an increased risk of suicide attempts [19, 29]. Contrarily, some findings suggested reduced levels of certain markers, such as TNF-α, in specific populations like suicidal adolescents [24].

Postmortem analyses provided additional insights, highlighting unique inflammatory profiles in suicide victims. For instance, Boehm and colleagues identified significantly stronger positivity of TNF-α in suicide victims compared to controls, while another study observed sex-specific patterns involving IL-4 and IL-13 expression [18, 41].

Emerging studies suggest that combinations of biomarkers, including CRP, IL-6, TNF-α, and CXCL-2, could provide predictive insights into suicide risk [43].

Overall, these findings underscore a complex interplay between inflammation and suicidality, suggesting that specific inflammatory markers may serve as potential biomarkers for suicide risk. However, inconsistencies across studies, such as those concerning IL-8 and IFN-γ, highlight the need for further research.

Discussion

The findings from this systematic review underscore the intricate relationship between inflammation and suicidality across various psychiatric populations. Numerous inflammatory markers, particularly cytokines such as IL-6, TNF-α, and CRP, were found to be elevated in individuals with suicidal ideation, suicide attempts, or completed suicides compared to non-suicidal controls or individuals without psychiatric conditions. These results suggest the potential role of systemic inflammation in suicidality pathophysiology.

Elevations in pro-inflammatory cytokines were repeatedly observed in individuals with suicidal behavior across the studies. These findings align with the broader literature suggesting that chronic inflammation is implicated in psychiatric disorders, particularly major depressive disorder [45, 46]. Some studies included in this review suggest that specific cytokine profiles may differentiate individuals with suicidality from those with depression alone, which could have significant implications for targeted interventions [47].

The relationship between inflammation and suicidal behavior is underpinned by complex neurobiological processes that span the immune, endocrine, and nervous systems. Chronic inflammation is increasingly recognized as a key driver of pathophysiological brain changes, particularly in regions involved in emotion regulation, impulse control, and stress responses.

One of the central mechanisms involves the disruption of neurotransmitter systems. Pro-inflammatory cytokines, such as IL-6, TNF-α, and interferon-gamma, influence tryptophan metabolism, a serotonin precursor. Under inflammatory conditions, the enzyme indoleamine 2,3-dioxygenase (IDO) is upregulated, diverting tryptophan away from serotonin synthesis towards the kynurenine pathway [48, 49]. This shift not only depletes serotonin, a critical neurotransmitter for mood stability, but also leads to the production of neurotoxic metabolites like quinolinic acid. Quinolinic acid acts as an agonist of NMDA receptors, enhancing excitotoxicity and further promoting neuroinflammation [50]. This cascade is thought to contribute to the development of depressive symptoms and impulsivity, both of which are closely linked to suicidality.

Additionally, inflammation profoundly impacts the HPA axis, the body’s central stress response system. Pro-inflammatory cytokines stimulate corticotropin-releasing hormone (CRH), leading to hyperactivation of the HPA axis and elevated cortisol levels. While cortisol is essential for managing acute stress, chronic dysregulation can impair brain structures such as the hippocampus, which is involved in memory and emotional processing [8, 51]. Over time, this dysregulation can lead to heightened stress sensitivity and a reduced capacity to cope with adverse events, increasing the risk of suicidal behavior.

The emerging evidence also implicates systemic inflammation in modulating the activity of the gut-brain axis. Recent studies suggest that inflammation-induced changes in gut microbiota composition may further influence mood and behavior by altering levels of microbial metabolites, such as short-chain fatty acids and tryptophan-derived products. These findings highlight a potential bi-directional relationship between peripheral inflammation and central nervous system changes in suicidal individuals.

While the precise pathways linking inflammation and suicidal behavior remain an active area of research, these mechanisms collectively underscore the importance of targeting inflammatory processes as part of comprehensive strategies for suicide prevention. The potential of inflammatory markers to guide clinical practice is immense but requires careful validation. First, incorporating these biomarkers into suicide risk assessments could enable more precise identification of high-risk individuals, particularly those with atypical or subthreshold psychiatric symptoms. For example, inflammatory profiles could complement tools like psychometric scales or genetic predisposition scores to create a holistic risk stratification model [10, 52]. Second, targeting inflammation directly through therapeutic interventions may offer a new frontier for suicide prevention. Early trials suggest that anti-inflammatory agents, such as minocycline or celecoxib, can reduce depressive symptoms and suicidal ideation, particularly in individuals with elevated inflammatory markers [53, 54]. Furthermore, lifestyle interventions, such as anti-inflammatory diets and exercise regimens, hold promise as adjunctive strategies for reducing both systemic inflammation and suicide risk [55]. However, these interventions remain understudied in populations at the highest risk for suicide, such as adolescents and individuals with treatment-resistant depression.

Despite the promising findings, several limitations should be acknowledged. Many studies had small sample sizes, particularly those involving adolescents or postmortem analyses, limiting generalizability. Furthermore, the cross-sectional nature of most studies precludes causal inferences between inflammation and suicidality. Longitudinal studies are needed to clarify temporal relationships and the impact of confounding factors such as medication use, comorbidities, and lifestyle influences [56].In addition to the limitations already discussed, we acknowledge the variability in inflammatory marker assays and clinical assessments across studies, the lack of standardization in biomarker thresholds, and the limited availability of longitudinal and interventional data. Furthermore, the presence of confounding variables, such as psychotropic medications and comorbid physical illnesses, may have influenced inflammatory profiles in some samples.

The potential for inflammatory markers to serve as biomarkers for suicide risk is an exciting prospect, but much remains to be explored. There is a need for large, multi-center studies with diverse populations to validate the findings and establish the specificity and sensitivity of various inflammatory markers in predicting suicidality. Additionally, exploring the interaction between genetic and environmental factors in modulating inflammatory responses could provide a more comprehensive understanding of the biopsychosocial mechanisms underlying suicidal behavior.

Moreover, recent advances in precision medicine offer the opportunity to identify subgroups of individuals who may be particularly responsive to anti-inflammatory interventions. Personalized approaches to suicide prevention, informed by an individual’s inflammatory profile, could lead to more effective and targeted treatments, minimizing the risk of adverse effects and optimizing outcomes.

Furthermore, it would be valuable to distinguish between post-mortem studies and those involving subjects without a psychiatric diagnosis and all other studies to evaluate the main findings more rigorously.

In our review, post-mortem studies found notable differences in cytokine levels between suicide victims and controls [18, 35, 41]. Specifically, suicide victims exhibited significantly stronger positivity for TNF-α. In addition, levels of IL-1β, IL-6, and TNF-α were considerably higher in the Brodmann area of the brain in suicide victims compared to controls. Furthermore, there was an increased expression of IL-4 and IL-13 in female and male suicide victims, respectively.

Instead, studies involving subjects without a psychiatric diagnosis [15, 19, 22, 28, 36, 37, 43] suggest that inflammation, particularly IL-6, may serve as a biological marker for short-term self-harm risk, potentially reflecting stressors that elevate this risk. Increased IL-6 levels were found in individuals who recently attempted suicide, while higher proinflammatory activity was observed in university students with a history of suicidal thoughts and behaviors. Additionally, suicide attempters with anxiety had significantly lower IL-8 levels in both plasma and CSF, with negative correlations to anxiety symptoms. TNF-α and IL-10 levels were positively associated with suicide attempts, but no association was found between CRP and suicide. Finally, higher levels of IL-6, CRP, TNF-α, CXCL-2, and IFN-γ and lower levels of IL-2 and IL-8 in MDD patients were linked to increased suicide risk.

This review reinforces the hypothesis that inflammation plays a crucial role in suicidality, with specific markers such as IL-6 and TNF-α emerging as key players. These findings highlight the potential for inflammatory markers to inform clinical risk assessments and interventions, paving the way for novel strategies to mitigate suicide risk across diverse populations.

Conclusion

In conclusion, the emerging evidence suggests a significant link between inflammation and suicidal behavior, highlighting inflammation as a potential biomarker and therapeutic target. However, further research is required to clarify the exact mechanisms involved, address existing methodological limitations, and determine the clinical applicability of these findings. By improving our understanding of the biological underpinnings of suicidality, we may pave the way for more effective prevention and intervention strategies, ultimately reducing the burden of suicide worldwide. These findings underscore the importance of integrating biological markers, such as IL-6 and TNF-α, into suicide risk assessment protocols, particularly for individuals with atypical or subthreshold psychiatric symptoms. Furthermore, identifying individuals with elevated inflammatory profiles may allow for personalized treatment strategies that include anti-inflammatory agents or lifestyle modifications aimed at reducing systemic inflammation. While more research is needed to confirm these pathways, our results provide a foundation for the development of biomarker-guided approaches to suicide prevention that could be generalized across various psychiatric and non-psychiatric populations.

Author contributions

V.B. wrote the main manuscriptM.G. and G.V. prepared the tablesA.R.A. and D.D.R. contributed to the design of the studyA.F. and G.P. supervision and methodology All authors reviewed the manuscript.

Funding

This study has received no funding.

Data availability

No datasets were generated or analysed during the current study.

Declarations

Human ethics and consent to participate

Not applicable.

Consent to participate

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.World Health Organization. Suicide worldwide in 2019: global health estimates. World Health Organization; 2021.
  • 2.Baldini V, et al. Adverse childhood experiences and suicidal behavior in individuals with schizophrenia. Schizophr Res. 2023;245:25–32. 10.1016/j.schres.2022.12.020. [Google Scholar]
  • 3.Van Heeringen K, Mann JJ. The neurobiology of suicide. Lancet Psychiatry. 2014;1(1):63–72. 10.1016/S2215-0366(14)70220-2. [DOI] [PubMed] [Google Scholar]
  • 4.Baldini V, Gnazzo M, Rapelli G, et al. Association between sleep disturbances and suicidal behavior in adolescents: a systematic review and meta-analysis. Front Psychiatry. 2024;15:1341686. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Baldini V, Gnazzo M, Maragno M, Biagetti R, Stefanini C, Canulli F, Varallo G, Donati C, Neri G, Fiorillo A, Plazzi G. Suicidal risk among adolescent psychiatric inpatients: the role of insomnia, depression, and social-personal factors. Eur Psychiatry. 2025;68(1):e42. 10.1192/j.eurpsy.2025.29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Franklin JC, Ribeiro JD, Fox KR, Bentley KH, Kleiman EM, Huang X, et al. Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. Psychol Bull. 2017;143(2):187–232. 10.1037/bul0000084. [DOI] [PubMed] [Google Scholar]
  • 7.Turecki G, Brent DA, Gunnell D, O’Connor RC, Oquendo MA, Pirkis J, Stanley BH. Suicide and suicide risk. Nat Rev Dis Primers. 2019;5(1):74. 10.1038/s41572-019-0121-0. [DOI] [PubMed] [Google Scholar]
  • 8.Dantzer R, O’Connor JC, Freund GG, Johnson RW, Kelley KW. From inflammation to sickness and depression: when the immune system subjugates the brain. Nat Rev Neurosci. 2008;9(1):46–56. 10.1038/nrn2297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Brundin L, Bryleva EY, Rajamani KT. Role of inflammation in suicide: from mechanisms to treatment. Neuropsychopharmacology. 2017;42(1):271–83. 10.1038/npp.2016.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Black C, Miller BJ. Meta-analysis of cytokines and chemokines in suicidality: distinguishing suicidal versus nonsuicidal patients. Biol Psychiatry. 2015;78(1):28–37. 10.1016/j.biopsych.2014.10.014. [DOI] [PubMed] [Google Scholar]
  • 11.Kiecolt-Glaser JK, Derry HM, Fagundes CP. Inflammation: depression fans the flames and feasts on the heat. Am J Psychiatry. 2015;172(11):1075–91. 10.1176/appi.ajp.2015.15020152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ganança L, Oquendo MA, Tyrka AR, Cisneros-Trujillo S, Mann JJ, Sublette ME. The role of cytokines in the pathophysiology of suicidal behavior. Psychoneuroendocrinology. 2021;127:105164. 10.1016/j.psyneuen.2021.105164. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Pace TW, Miller AH. Cytokines and glucocorticoid receptor signaling: relevance to major depression. Ann N Y Acad Sci. 2009;1179:86–105. 10.1111/j.1749-6632.2009.04984.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Rev Esp Cardiol (Engl Ed). 2021;74(9):790–9. [DOI] [PubMed] [Google Scholar]
  • 15.Bai S, Asarnow JR, Babeva KN, Irwin MR. IL-6 predicts non-suicidal self-injury over 3 months in high-risk adolescents. BJPsych Open. 2024;10(e51):1–6. 10.1192/bjo.2023.656. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Bai YM, Chen MH, Hsu JW, Huang HH, Jeng JS, Tsai SJ. Distinct effects of major affective disorder diagnoses and suicidal symptom severity on inhibitory control function and Proinflammatory cytokines: Single-site analysis of 800 adolescents and adults. Int J Neuropsychopharmacol. 2024;27(10):pyae043. 10.1093/ijnp/pyae043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Bergmans RS, Kelly KM, Mezuk B. Inflammation as a unique marker of suicide ideation distinct from depression syndrome among U.S. Adults. J Affect Disord. 2019;245:1052–60. 10.1016/j.jad.2018.11.046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Boehm J, Fischer K, Bohnert M. Putative role of TNF-alpha, interleukin-8 and ICAM-1 as indicators of an early inflammatory reaction after burn: a morphological and immunohistochemical study of lung tissue of fire victims. J Clin Pathol. 2010;63(11):967–71. [DOI] [PubMed] [Google Scholar]
  • 19.Castillo-Avila RG, Genis-Mendoza AD, Juárez-Rojop IE, López-Narváez ML, Dionisio-García DM, Nolasco-Rosales GA, et al. High serum levels of IL-6 are associated with suicide attempt but not with high lethality suicide attempts: A preliminary case-control study. Int J Environ Res Public Health. 2022;19(22):14735. 10.3390/ijerph192214735. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Chang C-C, Tzeng N-S, Kao Y-C, Yeh C-B, Chang H-A. The relationships of current suicidal ideation with inflammatory markers and heart rate variability in unmedicated patients with major depressive disorder. Psychiatry Res. 2017;258:449–56. 10.1016/j.psychres.2017.08.076. [DOI] [PubMed] [Google Scholar]
  • 21.Chen M-H, Bai Y-M, Hsu J-W, Huang K-L, Tsai S-J. Proinflammatory cytokine levels, cognitive function, and suicidal symptoms of adolescents and young adults with major depressive disorder. Eur Arch Psychiatry Clin Neurosci. 2024;274(7):1681–7. 10.1007/s00406-024-01780-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Defayette AB, Esposito-Smythers C, Cero I, Harris KM, Whitmyre ED, López R Jr. Interpersonal stress and Proinflammatory activity in emerging adults with a history of suicide risk: A pilot study. J Mood Anxiety Disord. 2023;2:100016. 10.1016/j.xjmad.2023.100016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Eidan AJ, Al-Harmoosh RA, Al-Amarei HM. Estimation of IL-6, INFγ, and lipid profile in suicidal and nonsuicidal adults with major depressive disorder. J Interferon Cytokine Res. 2019;39(3):181–9. 10.1089/jir.2018.0134. [DOI] [PubMed] [Google Scholar]
  • 24.Gabbay V, Klein RG, Guttman LE, et al. A preliminary study of cytokines in suicidal and non-suicidal adolescents with major depression. J Child Adolesc Psychopharmacol. 2009;19:423–30. 10.1016/j.jpsychires.2020.12.029. PMID: 33388702; PMCID: PMC8830592. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Hoprekstad GE, Skrede S, Bartz-Johannessen C, Joa I, Reitan SK, Steen VM, et al. Association between cytokines and suicidality in patients with psychosis: A multicentre longitudinal analysis. Brain Behav Immun Health. 2024;37:100756. 10.1016/j.bbih.2024.100756. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Huang M-H, Chen M-H, Chan Y-LE, Li C-T, Tsai S-J, Bai Y-M, et al. Pro-inflammatory cytokines and suicidal behavior among patients with bipolar I disorder. J Psychiatr Res. 2022;150:346–52. 10.1016/j.jpsychires.2021.11.030. [DOI] [PubMed] [Google Scholar]
  • 27.Janelidze S, Mattei D, Westrin A, Träskman-Bendz L, Brundin L. Cytokine levels in the blood May distinguish suicide attempters from depressed patients. Brain Behav Immun. 2011;25(2):335–9. 10.1016/j.bbi.2010.10.010. [DOI] [PubMed] [Google Scholar]
  • 28.Janelidze S, Suchankova P, Ekman A, Oskarsson H, Olsson E, Werneke U, Brundin L. Low IL-8 is associated with anxiety in suicidal patients: genetic variation and decreased protein levels. Acta Psychiatr Scand. 2015;131(4):269–78. 10.1111/acps.12349. [DOI] [PubMed] [Google Scholar]
  • 29.Jiang X, Guo Y, Jia L, Zhu Y, Sun Q, Kong L, et al. Altered levels of plasma inflammatory cytokines and white matter integrity in bipolar disorder patients with suicide attempts. Front Psychiatry. 2022;13:861881. 10.3389/fpsyt.2022.861881. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Lee HY, Kim YK. Transforming growth factor-beta1 and major depressive disorder with and without attempted suicide: preliminary study. Psychiatry Res. 2010;178(1):92–6. 10.1016/j.psychres.2009.03.023. [DOI] [PubMed] [Google Scholar]
  • 31.Li Z, Qi D, Chen J, Luo L, Chen X. Venlafaxine inhibits the upregulation of plasma tumor necrosis factor-alpha (TNF-α) in Chinese patients with major depressive disorder: a prospective longitudinal study. Psychoneuroendocrinology. 2013;38(1):107–14. 10.1016/j.psyneuen.2012.05.013. [DOI] [PubMed] [Google Scholar]
  • 32.López-Villatoro JM, De la Torre-Luque A, MacDowell KS, Galvez-Merlin A, Del Gómez A, Beato-Fernández L, Ruiz-Guerrero F, Mola-Cardenes P, Polo-Montes F, León-Velasco M, Castro-Fuentes L, Leza JC, Carrasco JL, Díaz-Marsá M. Transdiagnostic inflammatory and oxidative biomarkers with predictive capacity of self-injurious behavior in impulsive and unstable disorders. Prog Neuropsychopharmacol Biol Psychiatry. 2024;130:110927. 10.1016/j.pnpbp.2023.110927. [DOI] [PubMed] [Google Scholar]
  • 33.Maes M, Jirakran K, Vasupanrajit A, Zhou B, Tunvirachaisakul C, Almulla AF. Major depressive disorder, neuroticism, suicidal behaviors, and depression severity are associated with cytokine networks and their intricate interactions with metabolic syndrome. J Psychosom Res. 2024;187:111951. 10.1016/j.jpsychores.2024.111951. [DOI] [PubMed] [Google Scholar]
  • 34.Mendlovic S, Mozes E, Eilat E, et al. Immune activation in non-treated suicidal major depression. Immunol Lett. 1999;67:105–8. [DOI] [PubMed] [Google Scholar]
  • 35.Pandey GN, Rizavi HS, Ren X, et al. Proinflammatory cytokines in the prefrontal cortex of teenage suicide victims. J Psychiatr Res. 2012;46:57–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Rengasamy M, Zhong Y, Marsland A, Chen K, Douaihy A, Brent D, et al. Signaling networks in inflammatory pathways and risk for suicidal behavior. Brain Behav Immun Health. 2020;7:100122. 10.1016/j.bbih.2020.100122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Russell AE, Mars B, Wen CP, Chang SS, Gunnell D. Evidence for an association between inflammatory markers and suicide: A cohort study based on 359,849 to 462,747 Taiwanese adults. J Affect Disord. 2021;281:967–71. 10.1016/j.jad.2020.10.047. [DOI] [PubMed] [Google Scholar]
  • 38.Saadat SH, Javanbakht M, Shahyad S. Brain-derived neurotrophic factor and C-reactive protein (CRP) biomarkers in suicide attempter and non-attempter major depression disorder (MDD) patients. Ann Gen Psychiatry. 2024;23(1):27. 10.1186/s12991-024-00511-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Sun S, Wilson CM, Alter S, Ge Y, Hazlett EA, Goodman M, et al. Association of interleukin-6 with suicidal ideation in veterans: A longitudinal perspective. Front Psychiatry. 2023;14:1231031. 10.3389/fpsyt.2023.1231031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Tian X, Dong Y-Q, Yuan J-Y, Gao Y, Zhang C-H, Li M-J, et al. Association between peripheral plasma cytokine levels and suicidal ideation in first-episode, drug-naïve major depressive disorder. Psychoneuroendocrinology. 2024;164:107042. 10.1016/j.psyneuen.2024.107042. [DOI] [PubMed] [Google Scholar]
  • 41.Tonelli LH, Stiller J, Rujescu D, et al. Elevated cytokine expression in the orbitofrontal cortex of victims of suicide. Acta Psychiatr Scand. 2008;117(3):198–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Xu Y, Liang J, Gao W, Sun Y, Zhang Y, Shan F, Ge J, Xia Q. Peripheral blood cytokines as potential diagnostic biomarkers of suicidal ideation in patients with first-episode drug-naïve major depressive disorder. Front Public Health. 2022;10:1021309. 10.3389/fpubh.2022.1021309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Yang Y, Gu K, Li J. Relationship between serum inflammatory cytokines and suicide risk in patients with major depressive disorder. Front Psychiatry. 2024;15:1422511. 10.3389/fpsyt.2024.1422511. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Yeşilkaya ÜH, Şen M, Balcıoğlu YH, Gökçay H, Çelikkıran P, Balcıoğlu SK, Karamustafalıoğlu N. Evaluation of the correlation between peripheral inflammatory markers and suicide risk in drug-naive first-episode schizophrenia. Noro Psikiyatri Arsivi. 2024;67(3):275–80. 10.29399/npa.28663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Pastis I, Santos MG, Paruchuri A. Exploring the role of inflammation in major depressive disorder: beyond the monoamine hypothesis. Front Behav Neurosci. 2024;17:1282242. 10.3389/fnbeh.2023.1282242. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Hassamal S. Chronic stress, neuroinflammation, and depression: an overview of pathophysiological mechanisms and emerging anti-inflammatories. Front Psychiatry. 2023;14:1130989. 10.3389/fpsyt.2023.1130989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Hoprekstad GE, Skrede S, Bartz-Johannessen C, Joa I, Reitan SK, Steen VM, Torsvik A, Johnsen E, Kroken RA, Rettenbacher M. Association between cytokines and suicidality in patients with psychosis: a multicentre longitudinal analysis. Brain Behav Immun Health. 2024;37:100756. 10.1016/j.bbih.2024.100756. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Maes M, Leonard BE, Myint AM, et al. The new 5-HT hypothesis of depression: cell-mediated immune activation induces indoleamine 2,3-dioxygenase, which lowers plasma Tryptophan, serotonin, and induces depressive symptoms via the synthesis of neurotoxic kynurenine metabolites. Prog Neuropsychopharmacol Biol Psychiatry. 2011;35(3):702–21. [DOI] [PubMed] [Google Scholar]
  • 49.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. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Lupien SJ, McEwen BS, Gunnar MR, Heim C. Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nat Rev Neurosci. 2009;10(6):434–45. [DOI] [PubMed] [Google Scholar]
  • 51.Khandaker GM, Pearson RM, Zammit S, et al. Association of serum Interleukin 6 and C-reactive protein in childhood with depression and psychosis in young adult life: a population-based longitudinal study. JAMA Psychiatry. 2014;71(10):1121–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Nettis MA, Pariante CM, Mondelli V. Early-life adversity, systemic inflammation, and comorbid physical and psychiatric illnesses of adulthood: a systematic review. Brain Behav Immun. 2020;89:98–114. [DOI] [PubMed] [Google Scholar]
  • 53.Rosenblat JD, McIntyre RS. Efficacy and tolerability of Minocycline for depression: A systematic review and meta-analysis of clinical trials. J Affect Disord. 2018;227:219–25. [DOI] [PubMed] [Google Scholar]
  • 54.Lopresti AL, Hood SD, Drummond PD. A review of lifestyle factors that contribute to important pathways associated with major depression: diet, sleep and exercise. J Affect Disord. 2013;148(1):12–27. [DOI] [PubMed] [Google Scholar]
  • 55.O’Donovan A, Rush G, Hoatam G, et al. Suicidal ideation is associated with elevated inflammation in patients with major depressive disorder. Depress Anxiety. 2013;30(4):307–14. [DOI] [PubMed] [Google Scholar]
  • 56.Walker FR, Pfingst K, Carnevali L, Sgoifo A, Nalivaiko E. In the search for integrative biomarker of resilience to psychological stress. Neurosci Biobehav Rev. 2017;74(Pt B):310–20. 10.1016/j.neubiorev.2016.05.003. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

No datasets were generated or analysed during the current study.


Articles from Annals of General Psychiatry are provided here courtesy of BMC

RESOURCES