Skip to main content

ORIGINAL RESEARCH article

Front. Psychiatry, 29 January 2024
Sec. Mood Disorders
This article is part of the Research Topic Methods and Interventions to Predict and Tackle Suicide Risk View all 8 articles

Investigation of peripheral inflammatory biomarkers in association with suicide risk in major depressive disorder

  • 1Department of Psychiatry and Psychotherapy, Clinical Center, Medical School, University of Pécs, Pécs, Hungary
  • 2Department of Immunology and Biotechnology, Clinical Center, Medical School, University of Pécs, Pécs, Hungary
  • 3Department of Anatomy, Clinical Center, Medical School, University of Pécs, Pécs, Hungary
  • 4Department of Pediatrics, Clinical Center, Medical School, University of Pécs, Pécs, Hungary

Suicide is the most severe complication of major depressive disorder (MDD). Novel research assumes the role of immunological dysregulation in the background – several studies have reported alterations in the number of inflammatory cells related to both MDD and suicidality. There are currently no objective, routinely measured parameters to indicate suicidal vulnerability. However, altered inflammatory cell numbers and ratios have been proposed as potential biomarkers of suicide risk (SR). The present research aims to examine changes of these values related to increased SR in MDD as an assumed inflammatory state. We investigated laboratory parameters of psychiatric in-patients diagnosed with MDD (n = 101) retrospectively. Individuals with recent suicide attempt (SA) (n = 22) and with past SA (n = 19) represented the high SR group. MDD patients with no history of SA (n = 60) composed the intermediate SR group. We compared the number of neutrophil granulocytes, monocytes, lymphocytes, platelets, white blood cell count (WBC), neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte (MLR), platelet-to-lymphocyte ratio (PLR), mean platelet volume (MPV), red blood cell distribution width (RDW) and erythrocyte sedimentation rate (ESR). Furthermore, we evaluated alterations of these parameters related to antidepressant (AD) and antipsychotic (AP) treatment, which have been proved to have anti-inflammatory effects. We found a significant increase in neutrophil granulocyte count, NLR, monocyte count, MLR, WBC and ESR in patients with recent SA compared to patients with no history of SA. Moreover, there was a significant elevation in monocyte count, MLR, ESR and RDW in patients with high SR compared to patients with intermediate SR. AD treatment resulted in a significant decrease in neutrophil granulocyte count and NLR, however, it did not affect monocyte count and MLR. Assuming immunological mechanisms in the background of MDD and suicidality, our findings support the role of NLR as a biomarker of acute SR, though its alterations may be masked by possible anti-inflammatory effects of AD treatment in the long term. However, MLR, a marker exhibiting changes which are not attenuated by pharmacotherapy, may be a possible indicator of both acute and long-term suicidal vulnerability.

1 Introduction

To this day, suicide is a global issue of increasing importance. Taking one life every 40 seconds (1), it accounts for an estimated 800 thousand deaths every year and at least twenty times as many attempts are made (2). Although the latter is more common in women, men are three times more likely to complete suicide, according to the gender paradox (3). Suicidality includes suicidal ideations, plans and attempts (4), all of which place a burden on both the direct environment and society as a whole. Assessing the risk remains a great challenge for clinicians: according to research, 30% of patients committing suicide have met with their physician in the month prior to the event (5) and up to 80% of individuals taking their own life failed to disclose their intention the last time they contacted their doctor (6). Currently, the risk stratification is partly based on self-report (6) and its efficacy might be diminished by the lack of trust and cooperation on behalf of a patient in an acute state of a psychiatric illness. There is a great demand for objective, easily accessible and reproducible, cost-effective laboratory parameters which could be measured as part of a routine examination to indicate suicidal vulnerability and thus, as a supplement to pre-existing methods, help evaluate suicide risk (SR) more precisely.

As described in a study, 8.6% of individuals hospitalized for suicidality will eventually die by taking their own lives (7). Apart from the history of a previous attempt (6), the risk factors of suicide may be distal, also known as predisposing factors, which indirectly increase susceptibility. These include certain personality traits (e.g. impulsive, aggressive), genetic characteristics and adverse early life experiences (8). While distal factors determine suicidal vulnerability from the outset, proximal or precipitating factors directly result in suicidality. To the latter group belong among others stress, alcohol or drug abuse and psychiatric disorders (8). Major depressive disorder (MDD) not only contributes greatly to the global burden of diseases (9) but remains one of the greatest risk factors for suicidality (10): almost 15% of MDD patients will commit suicide (11).

Recent research assumes the altered function of the immune system in association with MDD and suicidality: elevated levels of pro-inflammatory cytokines – low molecular weight regulator glycoproteins secreted by various cells, including leukocytes and platelets – have been detected in patients diagnosed with MDD and individuals having attempted suicide compared to healthy and non-suicidal controls (12, 13). Although the exact etiology is yet to be discovered, several studies have correlated changes in the number of cells secreting these mediators with the development of MDD (14) and the emergence of suicidality (15). Therefore, alterations of neutrophil granulocyte, monocyte, platelet, lymphocyte and white blood cell count (WBC) as well as neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte (MLR) and platelet-to-lymphocyte ratios (PLR) have been proposed as potential biomarkers of SR (16).

Studies investigating the efficiency of NLR as a biomarker of suicidal vulnerability have provided the most promising results. A significant increase in NLR has been described in suicide attempters (17). Moreover, Velasco et al. have found NLR to be significantly associated with suicidality in MDD patients (15).

In most cases, attempters are psychiatric patients undergoing antidepressant (AD) or antipsychotic (AP) medication. These types of pharmacotherapies have exhibited anti-inflammatory effects (18, 19), which further complicates the relationship between immunological markers and suicidal vulnerability in MDD.

In the current research, we investigated alterations of immune cell numbers and ratios in MDD patients in relation to SR, taking into account the effects of AD and AP medication on these values. We aimed to contribute to a better understanding of the immunological changes related to suicidality in MDD, in the hope that in the future, these parameters may be used as biomarkers to indicate suicidal vulnerability and thus closer monitoring, longer duration of hospitalization, pharmacotherapy and psychotherapy for patients with high SR may help prevent more suicide-related deaths.

2 Materials and methods

We collected data retrospectively from psychiatric patients (n = 101) diagnosed with MDD according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), receiving inpatient care and pharmacotherapy at the Department of Psychiatry and Psychotherapy, Medical School, Clinical Center, University of Pécs. Data collection was carried out between January 2015 and December 2020. We investigated the number of neutrophil granulocytes, monocytes, lymphocytes, platelets and WBC. We measured NLR, MLR, PLR, mean platelet volume (MPV), erythrocyte sedimentation rate (ESR) and red blood cell distribution width (RDW). Three patient groups were formed based on the presence of a suicide attempt (SA): recent (≤ 48 hours prior), past (> 48 hours prior) attempters and patients with no history of SA. Further dividing individuals according to SR, participants with recent or past SA represented the high SR group and MDD patients with no history of SA were considered as individuals with intermediate SR. Recent SA was carried out by self-poisoning with benzodiazepines. The participants were of Caucasian ethnicity, with age ranging from 26 to 79 years old. Further sociodemographic and clinical characteristics of the patient groups are summarized in Table 1.

Table 1
www.frontiersin.org

Table 1 Sociodemographic and clinical characteristics of the patient groups.

The exclusion criteria were acute or chronic inflammatory illnesses, autoimmune diseases, hematological or oncological disorders and current treatment with anti-inflammatory or immunosuppressive medication. Individuals having attempted suicide by causing physical injury were excluded from the recent SA group. Patients exhibiting psychotic symptoms were not included. None of the participants had a history of ECT treatment.

There were no significant differences regarding age, gender, smoking or the presence of a concomitant medical condition (hypertension, diabetes mellitus) between the patient groups. All of the participants were undergoing pharmacological AD treatment and a subset of them received AP therapy. AD treatment consisted of selective serotonin reuptake inhibitor (SSRI), serotonin noradrenaline reuptake inhibitor (SNRI), noradrenaline and specific serotonergic antidepressant (NaSSA), serotonin antagonist and reuptake inhibitor (SARI) and norepinephrine-dopamine reuptake inhibitor (NDRI) medication. AP treatment included first, second and third generation agents. In the past SA group, significantly more patients were treated with AP medication compared to the recent SA and no history of SA groups, therefore we paid close attention to the alterations of the investigated values related to AP treatment.

Laboratory tests were performed at the Department of Laboratory Medicine, Medical School, Clinical Center, University of Pécs. For the statistical analysis, GraphPad Prism version 9.5.0 Windows program (GraphPad Software, San Diego, CA, USA, www.graphpad.com, accessed in 2022) and MedCalc 16.8 Windows program (MedCalc Software Ltd., Ostend, Belgium, www.medcalc.org, accessed in 2023) were used. Statistical operations were carried out first by performing a descriptive analysis and then by determining the distribution of samples. Outliers were identified using the robust regression and outlier removal (ROUT) method and excluded from further statistical analyses. For comparisons between groups, the unpaired t-test, Mann-Whitney U test, Brown-Forsythe and ordinary one-way ANOVA test, Kruskal-Wallis test and Tukey’s, Dunn’s or Dunnett’s multiple comparison analyses were used. To compare two normally distributed groups with different homogeneity of variance, Welch’s correction was applied. For testing the categorical variables, the chi-squared analysis with Fisher’s exact test was performed. The receiver operating characteristic (ROC) curve analysis was used to assess the overall diagnostic performance and to determine the cut-off value, specificity and sensitivity of laboratory parameters. In all cases, p ≤ 0.05 was considered statistically significant.

3 Results

3.1 Inflammatory markers in patients with recent SA and no history of SA

Neutrophil granulocyte count (Figure 1A) and NLR (Figure 1B) were significantly elevated in patients with recent SA (nneutrophil granulocyte = 19, mean: 5.42 ± 1.49; nNLR = 19, mean: 3.26 ± 2.24) compared to patients with no history of SA (nneutrophil granulocyte = 60, mean: 4.44 ± 1.76; nNLR = 60, mean: 2.10 ± 1.01) (pneutrophil granuloctyte = 0.016; pNLR = 0.031).

Figure 1
www.frontiersin.org

Figure 1 Neutrophil granulocyte count (A) and neutrophil-to-lymphocyte ratio (NLR) (B) in patients with no history of suicide attempt (SA) and recent SA. The box plot diagram represents the interquartile range and median values. Whiskers indicate the most extreme observations. The individual values are presented with black dots (patients with no history of SA, nneutrophil granulocyte = 19, nNLR = 19) and squares (patients with recent SA, nneutrophil granulocyte = 60, nNLR = 60). For statistical analysis, the Mann-Whitney U test was used. *p ≤ 0.05.

Furthermore, we found a significant increase in monocyte count (Figure 2A) and MLR (Figure 2B) in patients with recent SA (nmonocyte = 19, mean: 0.53 ± 0.14; nMLR = 16, mean: 0.23 ± 0.07) compared to patients with no history of SA (nmonocyte = 57, mean: 0.40 ± 0.12; nMLR = 56, mean: 0.18 ± 0.06) (pmonocyte 0.0001; pMLR = 0.005).

Figure 2
www.frontiersin.org

Figure 2 Monocyte count (A) and monocyte-to-lymphocyte ratio (MLR) (B) in patients with no history of suicide attempt (SA) and recent SA. The box plot diagram represents the interquartile range and median values. Whiskers indicate the most extreme observations. The individual values are presented with black dots (no history of SA, nmonocyte= 57, nMLR = 56) and squares (patients with recent SA, nmonocyte= 19, nMLR = 16). For statistical analysis, the Mann-Whitney U test was used. **p ≤ 0.01, ****p ≤ 0.0001.

Considering further inflammatory parameters (Table 2), ESR and WBC were significantly elevated in patients with recent SA (nESR = 12; nWBC = 19) compared to patients with no history of SA (nESR = 43; nWBC = 60) (pESR = 0.037; pWBC = 0.048).

Table 2
www.frontiersin.org

Table 2 Inflammatory parameters in patients with no history of suicide attempt (SA) and recent SA.

3.2 Inflammatory markers in relation to SR

We detected a significant increase in monocyte count (Figure 3A) and MLR (Figure 3B) in patients with high SR (nmonocyte = 40, mean: 0.52 ± 0.16; nMLR = 36, mean: 0.21 ± 0.08) compared to patients with intermediate SR (nmonocyte = 57, mean: 0.40 ± 0.12; nMLR = 56, mean: 0.18 ± 0.06) (pmonocyte 0.0001; pMLR = 0.020).

Figure 3
www.frontiersin.org

Figure 3 Monocyte count (A) and monocyte-to-lymphocyte ratio (MLR) (B) in patients with high suicide risk (SR) and intermediate SR. The box plot diagram represents the interquartile range and median values. Whiskers indicate the most extreme observations. The individual values are presented with black dots (patients with high SR, nmonocyte= 40, nMLR = 36) and squares (patients with intermediate SR, nmonocyte= 57, nMLR = 56). For statistical analysis, the Mann-Whitney U test was used. *p ≤ 0.05, ****p ≤ 0.0001.

As for further inflammatory parameters (Table 3), ESR and RDW were significantly elevated in patients with high SR (nESR = 29; nRDW = 39) compared to patients with intermediate SR (nESR = 43; nRDW = 56) (pESR = 0.041; pRDW = 0.037).

Table 3
www.frontiersin.org

Table 3 Inflammatory parameters in patients with high suicide risk (SR) and intermediate SR.

3.3 Effects of AD and AP therapy

As all of the participants were undergoing AD treatment, we aimed to observe the effect of pharmacotherapy on the investigated parameters. We divided data into four groups according to the received dose of AD medication: under or 100% (nNLR = 40, mean: 1.98 ± 0.80; nMLR = 40, mean: 0.19 ± 0.06), 200% (nNLR = 25, mean: 2.44 ± 1.33; nMLR= 23, mean: 0.20 ± 0.08), 300% (nNLR = 22, mean: 1.97 ± 0.90; nMLR = 20, mean: 0.17 ± 0.06), 400% or above (nNLR = 8, mean: 1.47 ± 0.37; nMLR = 8, mean: 0.16 ± 0.03) the minimal effective daily dose (20).

NLR (Figure 4A) was affected by AD therapy. We detected a significantly lower value in the group „400 or above” compared to the group „200” (pNLR = 0.016). However, MLR (Figure 4B) remained unaffected by AD medication, with no significant differences between the groups (pMLR = 0.321).

Figure 4
www.frontiersin.org

Figure 4 Neutrophil-to-lymphocyte ratio (NLR) (A) and monocyte-to-lymphocyte ratio (MLR) (B) in patients receiving antidepressant (AD) therapy. The box plot diagram represents the interquartile range and median values. Whiskers indicate the most extreme observations. The individual values are presented with black dots (under or 100% of minimal effective daily dose, nNLR = 40, nMLR = 40), squares (200% of minimal effective daily dose, nNLR = 25, nMLR = 23), upward triangles (300% of minimal effective daily dose, nNLR = 22, nMLR = 20) and downward triangles (400% or above of minimal effective daily dose, nNLR = 8, nMLR = 8). For statistical analysis, the Kruskal-Wallis and Brown-Forsythe with Dunn’s and Dunnett’s multiple comparison test were used. *p ≤ 0.05.

As for further parameters (Table 4), neutrophil granulocyte count was significantly decreased in the group „400 or above” (n = 7, mean: 2.91 ± 0.69) compared to the group „under or 100” (n = 43, mean: 4.81 ± 1.71) (p = 0.0163). The two groups did not differ significantly regarding the rest of the values (p > 0.05).

Table 4
www.frontiersin.org

Table 4 Inflammatory parameters in patients receiving antidepressant (AD) therapy.

Observing the effect of AP treatment, we found a significant decrease in ESR (Figure 5) in patients undergoing AP medication (nESR = 48, mean: 7.23 ± 4.96) compared to untreated patients (nESR = 25, mean: 17.56 ± 13.28) (pESR = 0.0002). There were no significant differences between the recent SA and no history of SA groups regarding the number of patients receiving AP medication. Although there were more AP treated patients in the high SR group compared to the intermediate SR group, we detected significantly higher ESR values in the high SR group.

Figure 5
www.frontiersin.org

Figure 5 ESR in patients receiving antipsychotic (AP) therapy and untreated patients. The box plot diagram represents the interquartile range and median values. Whiskers indicate the most extreme observations. The individual values are presented with black dots (untreated, n = 25) and squares (treated, n = 48). For statistical analysis, the Mann-Whitney U test was used. ***p ≤ 0.001.

The rest of the investigated parameters (Table 5) were not significantly affected by AP medication (p > 0.05).

Table 5
www.frontiersin.org

Table 5 Inflammatory parameters in patients receiving antipsychotic (AP) therapy and untreated patients.

3.4 Investigation of the diagnostic value of inflammatory parameters

We examined the diagnostic value of NLR (Figure 6A) and MLR (Figure 6B) in differentiating patients with recent SA (nNLR = 19; nMLR = 16) from individuals with no history of SA (nNLR = 60; nMLR = 56). According to the AUC value (AUCNLR: 0.669, 95% CINLR = 0.529 – 0.809, pNLR = 0.031; AUCMLR: 0.728, 95% CIMLR = 0.60 – 0.857, pMLR = 0.006), the diagnostic performance of NLR was limited. The diagnostic performance of MLR was acceptable. Calculated according to the Youden-index, the optimal cut-off value was 1.54 for NLR (sensitivity = 88.2%, specificity = 40.7%) and 0.14 for MLR (sensitivity = 87.5%, specificity = 46.4%) in predicting SA.

Figure 6
www.frontiersin.org

Figure 6 Receiver operating characteristic (ROC) curve analysis of neutrophil-to-lymphocyte ratio (NLR) (A) and monocyte-to-lymphocyte ratio (MLR) (B) in patients with recent suicide attempt (SA) and no history of SA.

As for further inflammatory parameters (Table 6), monocyte count had an acceptable diagnostic performance. Neutrophil granulocyte count, WBC and ESR had a limited diagnostic value.

Table 6
www.frontiersin.org

Table 6 Diagnostic value of inflammatory parameters exhibiting a significant difference between patients with no history of suicide attempt (SA) and recent SA according to the receiver operating characteristic (ROC) curve.

4 Discussion

Recent research suggests the potential role of inflammatory processes in the background of MDD and the emergence of suicidality. It has been known for decades that antibodies targeting molecular components of certain brain regions can induce structural and biochemical changes in several neuronal processes, resulting in emotional and behavioral abnormalities (21). For a long time, the blood-brain barrier was assumed to provide complete protection and independence for the central nervous system (CNS) against peripheral immunological mechanisms. Today it is well known that in certain conditions, peripherally secreted cytokines are able to pass through the blood-brain barrier due to its altered permeability and thus be present in the CNS, where, along with mediators produced locally by activated cells, they can directly affect certain neuronal networks (22) and the malfunction of the latter is assumed to play a role in the pathogenesis of MDD. Several studies have investigated the effect of these mediators on serotonin (23) and dopamine metabolism (24) via various molecular pathways (25, 26). According to the monoamine theory (27), a reduction in the level of these mediators is responsible for the development of depressive symptoms. Furthermore, cytokines alter the functioning of the hypothalamus-pituitary-adrenal axis (28), leading to changes in cognition, behavior, affect and personality, which are characteristic of MDD (29), thus supporting the role of inflammatory processes in the pathogenesis of the illness (30). In addition, the declination of memory functions and further cognitive processes is often observed in MDD and considered a consequence of cytokine expression (31, 32).

Since cytokines play a key role in carrying out immunological mechanisms, alterations in their levels may be indicative of the ongoing inflammatory processes. We have reason to assume that the pathomechanism of MDD and the development of inflammatory response are tightly bound together, with the processes mutually potentiating one another. As previously described, in a subset of patients, the activated immune response plays a key role in the pathogenesis of MDD, while an ongoing depressive episode enhances the effect of cytokines in response to stressors and pathogens (33).

According to previous research, pro-inflammatory cytokines are assumed to play a role in the development of stress response (34) and MDD (35), both of which are major risk factors of suicidality (36). It is yet to be discovered whether different levels of the same immunological mechanism or several activated inflammatory pathways are responsible for the emergence of suicidality and the pathogenesis of MDD, however, elevated levels of immunological mediators were observed in relation to both suicidal individuals (37, 38) and patients with MDD (39, 40). These observations support the assumption of an enhancement of the immune response in the background of suicidality (41).

Altered cytokine levels may be indicative of the severity of the immunological processes as either the background or the result of suicidality and MDD, however, a more accessible way of ascertaining the extent of inflammation may be achieved by measuring laboratory parameters such as cell numbers and ratios, as they are responsible for the production of these mediators and thus the development of the immune response (42). In this current study, we aimed to examine alterations of the number of neutrophil granulocytes, lymphocytes, monocytes, platelets, WBC, NLR, MLR, PLR, MPV, ESR and RDW in MDD patients in relation to SR.

Neutrophil granulocyte count and NLR were significantly elevated in individuals with recent SA compared to patients with no history of SA. Our results support previous findings of NLR as a biomarker of SR (15, 17).

Furthermore, we found a significant increase in monocyte count and MLR in patients with recent SA compared to participants with no history of SA. Studies have previously suggested the role of MLR as an indicator of acute SR. Ucuz et al. have measured immune cell counts in blood samples taken from adolescent psychiatric patients within the first six hours after SA and compared them to those of age- and gender-matched healthy participants. They found that MLR was elevated in the former group (16), implying that an increase in MLR might be indicative of acute SR.

Moreover, WBC was elevated in patients with recent SA compared to individuals with no history of SA. An inflammatory profile with increased WBC has been linked to SR in previous research (38). Further supporting the immunological background of suicidality, Chang et al. have found that MDD patients with current suicidal ideations exhibited higher ESR values (43). Similarly, we detected an increase in ESR in participants with recent SA compared to patients with no history of SA.

As for further investigated parameters (lymphocyte and platelet count, PLR, MPV, RDW), we found no significant differences between patients with recent SA and participants with no history of SA.

Comparing high SR individuals (recent and past attempters) to intermediate SR participants (MDD patients with no history of SA), we detected a significant increase in monocyte count and MLR in the former group. Nowak et al. studied alterations of the three phenotypes of monocytes (classical, intermedier and non-classical) based on the Cluster of Differentiation (CD) molecules expressed on the surface of the cells. In patients with MDD, the number of intermedier cells and non-classical monocytes were elevated, while classical monocytes were present in lesser quantity compared to healthy controls (44). The latter monocyte group showed an increased activation state, with elevated intracellular levels of IL-6 and IL-12. It was assumed that the activation of classical monocytes led to cytokine release, which resulted in the transformation of monocytes to intermedier and finally to non-classical phenotypes (44). This is characteristic of inflammatory and autoimmune processes (45), therefore these results support the assumption of immunological mechanisms in the pathogenesis of MDD (44). Moreover, a postmortem study of suicide victims with MDD revealed increased perivascular macrophage density of the vessels in the dorsal anterior cingulate, a brain region thought to be responsible for mood disorders. Elevated levels of macrophage chemoattractant protein-1, a mediator responsible for recruiting phagocytes, have also been described (46). Furthermore, CD45 – a marker expressed in perivascular macrophages – was found to be present in greater amount compared to healthy controls. These findings imply the manifestation of inflammatory processes assumed in the background of MDD and suicidality in the form of monocyte recruitment in the brain (46).

Furthermore, there was a significant elevation in RDW and ESR in high SR patients compared to intermediate SR participants. Previous research has found elevated levels of RDW in MDD patients compared to healthy controls (47), and the increase in these inflammatory markers is in accord with the hypothesis that immunological processes may play a part in the pathogenesis of MDD. Our results infer that an elevation in ESR and RDW observed in recent and past attempters compared to patients with no history of SA might indicate a higher level of inflammation underlying suicidal vulnerability in MDD.

Although neutrophil granulocyte count, NLR and WBC were significantly elevated comparing individuals with recent SA to patients with no history of SA, we detected no significant differences regarding these parameters between the high SR and intermediate SR groups. We detected no significant elevation in the rest of the investigated laboratory values (lymphocyte and platelet count, PLR, MPV). However, all of the participants in our study were undergoing AD treatment and a subset of them were also treated with AP medication. Several studies have investigated the anti-inflammatory effect of AD therapy in MDD (18). Hannestad et al. described a decrease in the levels of proinflammatory cytokines IL-1 and IL-6 following AD treatment in MDD patients (48). According to another study, AD medication led to decreased IL-2 and increased IL-4 and TGF-β levels, the latter two being anti-inflammatory cytokines (49). Another research observed a decrease in IL-1, IFN-γ and cortisol levels in MDD patients following AD treatment. AP therapy has also been proved to have anti-inflammatory effects (50). Long-term administration of these types of pharmacotherapies may have masked changes in cell numbers, either by decreasing the severity of inflammation or preventing immunological mechanisms related to MDD or suicidality from taking place in their entirety. In a previous study on patients with MDD, elevated WBC was reduced following AD treatment, alluding to an anti-inflammatory effect of the agents independent of their AD mechanism of action (18). In a research conducted by Demircan et al., initially elevated NLR levels of drug-naive MDD patients decreased following AD treatment (47), inferring that an acute increase in these inflammatory markers may be suppressed by AD pharmacotherapy in the long term.

Therefore, we aimed to investigate the effect of these types of pharmacotherapies on the examined parameters. We found that AD treatment significantly decreased neutrophil granulocyte count and NLR, while causing no significant alterations in monocyte count and MLR. Furthermore, since a subset of patients received AP medication, we compared AP-treated patients to untreated participants and found a significant decrease in ESR in the former group. There was no significant difference regarding the number of patients treated with AP medication between the recent SA group and the no history of SA group. Although there were significantly more patients treated with AP in the past SA group compared to the no history of SA group, ESR was elevated in high SR participants (recent and past attempters) compared to intermediate SR patients (individuals with no history of SA), highlighting its reliability as a possible indicator of SR. AP treatment did not significantly influence the rest of the parameters.

Investigating diagnostic values, monocyte count and MLR had an acceptable diagnostic performance, while neutrophil granulocyte count, NLR, WBC and ESR had a limited diagnostic value.

These findings further emphasize the prognostic value of monocyte count and MLR as parameters remaining significantly elevated in not only patients with recent SA, but in all participants with high SR undergoing pharmacological treatment, therefore preserving their role as biomarkers indicating both acute and long-term SR in MDD. Considering that an increased risk of suicidality is an adverse side effect to be reckoned with especially in the first weeks of AD treatment (51), it is of great importance to have an indicator of high SR which does not solely correlate with the level of inflammation related to acute SR potentially mitigated by pharmacotherapy in the long term, but one that reliably signals the probability of an upcoming attempt independently.

In conclusion, our results are in accord with previous findings that an elevation in inflammatory markers on the one hand alludes to the contribution of immunological processes to the emergence of suicidality in MDD, and on the other hand, the investigated laboratory parameters may serve as easily accessible, cost-effective biomarkers of high SR.

Our findings imply that beyond NLR, a previously described biomarker of suicidal vulnerability, which may be significantly impacted by pharmacological treatment, MLR, a parameter exhibiting alterations which are not attenuated by the possible anti-inflammatory effects of pharmacotherapy, may therefore be a reliable indicator of not only acute but long-term SR in MDD. We hope that in the future, these biomarkers, possibly as an addition to pre-existing methods, may enable more accurate risk stratification for vulnerable patients and thus help prevent suicide from taking yet another life.

5 Limitations

Our research solely involved psychiatric patients diagnosed with MDD, as we aimed to detect changes of the investigated parameters related to high SR among depressed individuals as a vulnerable subset of the general population. Although suicidality is often linked to the presence of a psychiatric illness, measuring these parameters in suicide attempters without a psychiatric diagnosis may be helpful to ascertain alterations related exclusively to SR.

As the severity of MDD was not measured in this study, it would be of great use to apply rating scales to determine the correlation between illness severity, suicidality and inflammatory status more precisely.

We excluded patients attempting suicide by causing physical injury and individuals taking anti-inflammatory or immunosuppressant medication. However, recent SA was carried out by self-poisoning with benzodiazepines, which have been described to have anti-inflammatory effects (52, 53). Furthermore, other types of medication used to treat concomitant illnesses (e.g. hypertension or diabetes mellitus) may have influenced the inflammatory status of the participants. Although there is previous research inferring that AD and AP medication mitigate immunological processes, differences may be found regarding the extent of anti-inflammatory effect each subgroup of these types of pharmacotherapies might have.

Measuring biomarkers multiple times (i.e. before and at specific times after an attempt) may lead to more precise differentiation between the changes related to the emergence of suicidality and those in association with the course of illness in MDD.

We chose to measure laboratory parameters that are easily accessible, reproducible and cost-effective in a clinical setting. However, investigating changes in other inflammatory markers such as specific cytokines may lead to more precise risk assessment regarding suicidality in MDD.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Ethics statement

Ethical approval was not required for the study involving humans in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was not required from the participants or the participants’ legal guardians/next of kin in accordance with the national legislation and the institutional requirements.

Author contributions

BP: Writing – original draft. MK: Writing – review & editing. DS: Writing – review & editing. TT: Writing – review & editing. AH: Writing – review & editing. TC: Writing – review & editing. DH: Writing – review & editing. NA: Writing – review & editing. EV: Writing – review & editing. MH: Writing – review & editing. PO: Writing – review & editing. VV: Writing – review & editing. TT: Writing – review & editing. RH: Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The study was supported by the ÚNKP-23-3-I-PTE-1851 New National Excellence Program of the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation Fund and the FIKP-IV and TNIL projects.

Conflict of interest

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

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Reddy MS. Suicide incidence and epidemiology. Indian J Psychol Med (2010) 32(2):77–82. doi: 10.4103/0253-7176.78501

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Aguglia A, Amerio A, Asaro P, Caprino M, Conigliaro C, Giacomini G, et al. High-lethality of suicide attempts associated with platelet to lymphocyte ratio and mean platelet volume in psychiatric inpatient setting. World J Biol Psychiatry (2021) 22(2):119–27. doi: 10.1080/15622975.2020.1761033

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Bachmann S. Epidemiology of suicide and the psychiatric perspective. IJERPH (2018) 15(7):1425. doi: 10.3390/ijerph15071425

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Nock MK, Borges G, Bromet EJ, Cha CB, Kessler RC, Lee S. Suicide and suicidal behavior. Epidemiologic Rev (2008) 30(1):133–54. doi: 10.1093/epirev/mxn002

CrossRef Full Text | Google Scholar

5. Ahmedani BK, Simon GE, Stewart C, Beck A, Waitzfelder BE, Rossom R, et al. Health care contacts in the year before suicide death. J Gen Intern Med (2014) 29(6):870–7. doi: 10.1007/s11606-014-2767-3

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Bolton JM, Gunnell D, Turecki G. Suicide risk assessment and intervention in people with mental illness. BMJ (2015) 351(nov09 1):h4978–8. doi: 10.1136/bmj.h4978

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Bostwick JM, Pankratz VS. Affective disorders and suicide risk: A reexamination. AJP (2000) 157(12):1925–32. doi: 10.1176/appi.ajp.157.12.1925

CrossRef Full Text | Google Scholar

8. Roy A. Childhood trauma and impulsivity. Possible relevance to suicidal behavior. Arch Suicide Res (2005) 9(2):147–51. doi: 10.1080/13811110590903990

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Liu Q, He H, Yang J, Feng X, Zhao F, Lyu J. Changes in the global burden of depression from 1990 to 2017: Findings from the Global Burden of Disease study. J Psychiatr Res (2020) 126:134–40. doi: 10.1016/j.jpsychires.2019.08.002

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Cai H, Xie XM, Zhang Q, Cui X, Lin JX, Sim K, et al. Prevalence of suicidality in major depressive disorder: A systematic review and meta-analysis of comparative studies. Front Psychiatry (2021) 12:690130. doi: 10.3389/fpsyt.2021.690130

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Hawton K, van Heeringen K. Suicide. Lancet (2009) 373(9672):1372–81. doi: 10.1016/S0140-6736(09)60372-X

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Himmerich H. Cytokine research in depression: principles, challenges, and open questions. Front Psychiatry (2019) 10. doi: 10.3389/fpsyt.2019.00030

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Ganança L, Oquendo MA, Tyrka AR, Cisneros-Trujillo S, Mann JJ, Sublette ME. The role of cytokines in the pathophysiology of suicidal behavior. Psychoneuroendocrinology (2016) 63:296–310. doi: 10.1016/j.psyneuen.2015.10.008

CrossRef Full Text | Google Scholar

14. Krishnadas R, Cavanagh J. Depression: an inflammatory illness?: Figure 1. J Neurol Neurosurg Psychiatry (2012) 83(5):495–502. doi: 10.1136/jnnp-2011-301779

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Velasco Á, Rodríguez-Revuelta J, Olié E, Abad I, Fernández-Peláez A, Cazals A, et al. Neutrophil-to-lymphocyte ratio: A potential new peripheral biomarker of suicidal behavior. Eur Psychiatr (2020) 63(1):e14. doi: 10.1192/j.eurpsy.2019.20

CrossRef Full Text | Google Scholar

16. Ucuz İ, Kayhan Tetik B. Can suicide behavior and seasonality of suicide be predicted from inflammatory parameters in adolescents? Med Hypotheses (2020) 143:110061. doi: 10.1016/j.mehy.2020.110061

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Arafat SMY, Karim AKMB, Hossain MF, Menon V, Shoib S. Neutrophil-to-lymphocyte ratio and C-reactive protein in non-fatal suicidal attempts: A cross-sectional pilot study in Bangladesh. Health Sci Rep (2021) 4(3):e347. doi: 10.1002/hsr2.347

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Jaykaran, Chavda N, Kantharia N. Effects of fluoxetine and escitalopram on C-reactive protein in patients of depression. J Pharmacol Pharmacother (2011) 2(1):11. doi: 10.4103/0976-500X.77091

PubMed Abstract | CrossRef Full Text | Google Scholar

19. MacDowell KS, García-Bueno B, Madrigal JLM, Parellada M, Arango C, Micó JA, et al. Risperidone normalizes increased inflammatory parameters and restores anti-inflammatory pathways in a model of neuroinflammation. Int J Neuropsychopharmacol (2013) 16(1):121–35. doi: 10.1017/S1461145711001775

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Aziz R. Antidepressants: when dosage matters. Carlat Rep Psychiatry (2022).

Google Scholar

21. Janković BD. From immunoneurology to immunopsychiatry: neuromodulating activity of anti-brain antibodies. In: International Review of Neurobiology. Elsevier (1985). p. 249–314. Available at: https://linkinghub.elsevier.com/retrieve/pii/S0074774208600768.

Google Scholar

22. Leonard B E. The concept of depression as a dysfunction of the immune system. CIR (2010) 6(3):205–12. doi: 10.2174/157339510791823835

CrossRef Full Text | Google Scholar

23. Myint AM, Kim YK. Cytokine–serotonin interaction through IDO: a neurodegeneration hypothesis of depression. Med Hypotheses (2003) 61(5–6):519–25. doi: 10.1016/s0306-9877(03)00207-x

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Juengling FD, Ebert D, Gut O, Engelbrecht MA, Rasenack J, Nitzsche EU, et al. Prefrontal cortical hypometabolism during low-dose interferon alpha treatment. Psychopharmacology (2000) 152(4):383–9. doi: 10.1007/s002130000549

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Zhu CB, Lindler KM, Owens AW, Daws LC, Blakely RD, Hewlett WA. Interleukin-1 receptor activation by systemic lipopolysaccharide induces behavioral despair linked to MAPK regulation of CNS serotonin transporters. Neuropsychopharmacol (2010) 35(13):2510–20. doi: 10.1038/npp.2010.116

CrossRef Full Text | Google Scholar

26. Haroon E, Raison CL, Miller AH. Psychoneuroimmunology meets neuropsychopharmacology: translational implications of the impact of inflammation on behavior. Neuropsychopharmacol (2012) 37(1):137–62. doi: 10.1038/npp.2011.205

CrossRef Full Text | Google Scholar

27. Jiang Y, Zou D, Li Y, Gu S, Dong J, Ma X, et al. Monoamine neurotransmitters control basic emotions and affect major depressive disorders. Pharmaceuticals (2022) 15(10):1203. doi: 10.3390/ph15101203

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Raison CL, Capuron L, Miller AH. Cytokines sing the blues: inflammation and the pathogenesis of depression. Trends Immunol (2006) 27(1):24–31. doi: 10.1016/j.it.2005.11.006

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Pariante CM, Miller AH. Glucocorticoid receptors in major depression: relevance to pathophysiology and treatment. Biol Psychiatry (2001) 49(5):391–404. doi: 10.1016/S0006-3223(00)01088-X

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Pace TWW, Hu F, Miller AH. Cytokine-effects on glucocorticoid receptor function: Relevance to glucocorticoid resistance and the pathophysiology and treatment of major depression. Brain Behavior Immunity (2007) 21(1):9–19. doi: 10.1016/j.bbi.2006.08.009

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Jacobs BL, van Praag H, Gage FH. Adult brain neurogenesis and psychiatry: a novel theory of depression. Mol Psychiatry (2000) 5(3):262–9. doi: 10.1038/sj.mp.4000712

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Pickering M, O’Connor JJ. Pro-inflammatory cytokines and their effects in the dentate gyrus. In: Progress in Brain Research. Elsevier (2007). p. 339–54. Available at: https://linkinghub.elsevier.com/retrieve/pii/S0079612307630209.

Google Scholar

33. Kiecolt-Glaser JK, Derry HM, Fagundes CP. Inflammation: depression fans the flames and feasts on the heat. AJP (2015) 172(11):1075–91. doi: 10.1176/appi.ajp.2015.15020152

CrossRef Full Text | Google Scholar

34. Johnson JD, Barnard DF, Kulp AC, Mehta DM. Neuroendocrine regulation of brain cytokines after psychological stress. J Endocrine Society (2019) 3(7):1302–20. doi: 10.1210/js.2019-00053

CrossRef Full Text | Google Scholar

35. Schiepers OJG, Wichers MC, Maes M. Cytokines and major depression. Prog Neuropsychopharmacol Biol Psychiatry (2005) 29(2):201–17. doi: 10.1016/j.pnpbp.2004.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Miller AB, Eisenlohr-Moul TA. Biological responses to acute stress and suicide: a review and opportunities for methodological innovation. Current Behavioral Neurosci Rep (2019) 6(4):141–50. doi: 10.1007/s40473-019-00185-2

CrossRef Full Text | Google Scholar

37. Janelidze S, Mattei D, Westrin Å, Träskman-Bendz L, Brundin L. Cytokine levels in the blood may distinguish suicide attempters from depressed patients. Brain Behavior Immunity (2011) 25(2):335–9. doi: 10.1016/j.bbi.2010.10.010

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Keaton SA, Madaj ZB, Heilman P, Smart L, Grit J, Gibbons R, et al. An inflammatory profile linked to increased suicide risk. J Affect Disord (2019) 247:57–65. doi: 10.1016/j.jad.2018.12.100

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Shelton RC, Claiborne J, Sidoryk-Wegrzynowicz M, Reddy R, Aschner M, Lewis DA, et al. Altered expression of genes involved in inflammation and apoptosis in frontal cortex in major depression. Mol Psychiatry (2011) 16(7):751–62. doi: 10.1038/mp.2010.52

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Roohi E, Jaafari N, Hashemian F. On inflammatory hypothesis of depression: what is the role of IL-6 in the middle of the chaos? J Neuroinflamm (2021) 18(1):45. doi: 10.1186/s12974-021-02100-7

CrossRef Full Text | Google Scholar

41. Pandey GN, Rizavi HS, Ren X, Fareed J, Hoppensteadt DA, Roberts RC, et al. Proinflammatory cytokines in the prefrontal cortex of teenage suicide victims. J Psychiatr Res (2012) 46(1):57–63. doi: 10.1016/j.jpsychires.2011.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Chaplin DD. Overview of the immune response. J Allergy Clin Immunol (2010) 125(2):S3–23. doi: 10.1016/j.jaci.2009.12.980

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Chang CC, Tzeng NS, Kao YC, Yeh CB, Chang HA. 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. doi: 10.1016/j.psychres.2017.08.076

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Nowak W, Grendas LN, Sanmarco LM, Estecho IG, Arena ÁR, Eberhardt N, et al. Pro-inflammatory monocyte profile in patients with major depressive disorder and suicide behaviour and how ketamine induces anti-inflammatory M2 macrophages by NMDAR and mTOR. EBioMedicine (2019) 50:290–305. doi: 10.1016/j.ebiom.2019.10.063

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Chuluundorj D, Harding SA, Abernethy D, La Flamme AC. Expansion and preferential activation of the CD14 + CD16 + monocyte subset during multiple sclerosis. Immunol Cell Biol (2014) 92(6):509–17. doi: 10.1038/icb.2014.15

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Torres-Platas SG, Cruceanu C, Chen GG, Turecki G, Mechawar N. Evidence for increased microglial priming and macrophage recruitment in the dorsal anterior cingulate white matter of depressed suicides. Brain Behavior Immunity (2014) 42:50–9. doi: 10.1016/j.bbi.2014.05.007

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Demircan F, Gözel N, Kılınç F, Ulu R, Atmaca M. The impact of red blood cell distribution width and neutrophil/lymphocyte ratio on the diagnosis of major depressive disorder. Neurol Ther (2016) 5(1):27–33. doi: 10.1007/s40120-015-0039-8

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Hannestad J, DellaGioia N, Bloch M. The effect of antidepressant medication treatment on serum levels of inflammatory cytokines: A meta-analysis. Neuropsychopharmacol (2011) 36(12):2452–9. doi: 10.1038/npp.2011.132

CrossRef Full Text | Google Scholar

49. Sutcigil L, Oktenli C, Musabak U, Bozkurt A, Cansever A, Uzun O, et al. Pro- and anti-inflammatory cytokine balance in major depression: effect of sertraline therapy. Clin Dev Immunol (2007) 2007:1–6. doi: 10.1155/2007/76396

CrossRef Full Text | Google Scholar

50. Al-Amin M, Uddin MMN, Reza HM. Effects of antipsychotics on the inflammatory response system of patients with schizophrenia in peripheral blood mononuclear cell cultures. Clin Psychopharmacol Neurosci (2013) 11(3):144–51. doi: 10.9758/cpn.2013.11.3.144

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Bielefeldt AØ, Danborg PB, Gøtzsche PC. Precursors to suicidality and violence on antidepressants: systematic review of trials in adult healthy volunteers. J R Soc Med (2016) 109(10):381–92. doi: 10.1177/0141076816666805

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Falcón CR, Hurst NF, Vivinetto AL, López PHH, Zurita A, Gatti G, et al. Diazepam impairs innate and adaptive immune responses and ameliorates experimental autoimmune encephalomyelitis. Front Immunol (2021) 12:682612. doi: 10.3389/fimmu.2021.682612

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Torres SR, Fröde TS, Nardi GM, Vita N, Reeb R, Ferrara P, et al. Anti-inflammatory effects of peripheral benzodiazepine receptor ligands in two mouse models of inflammation. Eur J Pharmacol (2000) 408(2):199–211. doi: 10.1016/S0014-2999(00)00760-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: major depressive disorder, suicidality, suicide risk, neutrophil-to-lymphoycte ratio, monocyte-to-lymphocyte ratio, laboratory parameters, biomarker, inflammation

Citation: Pethő B, Kovács MÁ, Simon D, Tóth T, Hajnal AS, Csulak T, Hebling D, Albert N, Varga E, Herold M, Osváth P, Vörös V, Tényi T and Herold R (2024) Investigation of peripheral inflammatory biomarkers in association with suicide risk in major depressive disorder. Front. Psychiatry 15:1321354. doi: 10.3389/fpsyt.2024.1321354

Received: 13 October 2023; Accepted: 10 January 2024;
Published: 29 January 2024.

Edited by:

David Benrimoh, McGill University, Canada

Reviewed by:

Ching-Fang Sun, Virginia Tech Carilion School of Medicine and Research Institute, United States
Juan C. Leza, Complutense University of Madrid, Spain

Copyright © 2024 Pethő, Kovács, Simon, Tóth, Hajnal, Csulak, Hebling, Albert, Varga, Herold, Osváth, Vörös, Tényi and Herold. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Márton Áron Kovács, kovacs.marton.aron@pte.hu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.