Introduction
Suicide is the second leading cause of death in youth in Canada and the United States (Government of Canada, 2023). Suicide risk factors in youth include prior suicidal behavior, psychiatric disorders, and environmental stressors (Steele, Thrower, Noroian, & Saleh, Reference Steele, Thrower, Noroian and Saleh2018). Bipolar disorder (BD), a severe psychiatric condition characterized by manic and/or hypomanic episodes generally alternating with depressive episodes, confers a markedly increased risk for suicide (McIntyre, Berk, Brietzke, et al., Reference McIntyre, Berk, Brietzke, Goldstein, López-Jaramillo, Kessing, Malhi, Nierenberg, Rosenblat, Majeed, Vieta, Vinberg, Young and Mansur2020). Moreover, about a quarter of individuals with BD attempt suicide at least once in their lifetime (Schaffer, Isometsa, Tondo, et al., Reference Schaffer, Isometsä, Tondo, Moreno, Sinyor, Kessing, Turecki, Weizman, Azorin, Ha, Reis, Cassidy, Goldstein, Rihmer, Beautrais, Chou, Diazgranados, Levitt, Zarate and Yatham2015). Similar rates of deaths by suicide and attempts are seen in studies specifically examining early-onset BD (Goldstein, Ha, Axelson, et al., Reference Goldstein, Ha, Axelson, Goldstein, Liao, Gill, Ryan, Yen, Hunt, Hower, Keller, Strober and Birmaher2012; Serra, De Crescenzo, Maisto, et al., Reference Serra, De Crescenzo, Maisto, Galante, Iannoni, Trasolini, Maglio, Tondo, Baldessarini and Vicari2022), with a longitudinal analysis citing persistent depression, substance use disorder, and family history of suicide as additional risk factors (Goldstein, Ha, Axelson, et al., Reference Goldstein, Ha, Axelson, Goldstein, Liao, Gill, Ryan, Yen, Hunt, Hower, Keller, Strober and Birmaher2012). Given that BD commonly onsets during adolescence (Bolton et al., Reference Bolton, Warner, Harriss, Geddes and Saunders2020) and suicide is a leading cause of death in youth (Government of Canada, 2023), it is critical to examine risk factors for suicide in youth with BD. Of note, longitudinal studies in youth with major depressive disorder have found that non-suicidal self-injury (NSSI; i.e. self-harm without intention to die) and suicide attempt (SA; i.e. self-harm with intention to die) present equivalent risk of future suicide attempt (Wilkinson et al., Reference Wilkinson, Kelvin, Roberts, Dubicka and Goodyer2011).
In addition to psychiatric risk factors for suicide, it is important to integrate biological risk factors. Biological processes implicated in suicide risk include genome and epigenomic measures, structural brain differences, hypothalamic–pituitary–adrenal axis (HPA) dysregulation, peripheral and neuroinflammatory pathways, and serotonergic abnormalities (Abou Chahla et al., Reference Abou Chahla, Khalil, Comai, Brundin, Erhardt and Guillemin2023). Among these putative mechanisms, inflammation is especially relevant given its strong, replicated associations with both BD and suicide (Abou Chahla et al., Reference Abou Chahla, Khalil, Comai, Brundin, Erhardt and Guillemin2023; Goldstein, Kemp, Soczynska, & McIntyre, Reference Goldstein, Kemp, Soczynska and McIntyre2009; Modabbernia, Taslimi, Brietzke, & Ashrafi, Reference Modabbernia, Taslimi, Brietzke and Ashrafi2013). Whereas most inflammatory markers that have been reported in prior studies require research-specific assays, C-reactive protein (CRP) is a commonly measured inflammatory marker that is inexpensive and widely available at clinical laboratories (Pepys & Hirschfield, Reference Pepys and Hirschfield2003). Release of CRP from the liver is stimulated by cytokines (e.g. interleukin-6 (IL-6), interleukin-1, and tumor necrosis factor-α (TNF) and is hypothesized to regulate acute inflammatory responses by facilitating phagocytosis (Sproston & Ashworth, Reference Sproston and Ashworth2018). Meta-analyses show higher levels of CRP in adults with psychiatric disorders and a history of suicidal ideation and/or behaviors compared to the control group (Miola, Dal Porto, Tadmor, et al., Reference Miola, Dal Porto, Tadmor, Croatto, Scocco, Manchia, Carvalho, Maes, Vieta, Sambataro and Solmi2021). This relationship remained true when constraining analyses to a sample of adults with BD (Ducasse, Jaussent, Guillaume, et al., Reference Ducasse, Jaussent, Guillaume, Azorin, Bellivier, Belzeaux, Bougerol, Etain, Gard, Henry, Kahn, Leboyer, Loftus, Passerieux, Courtet and Olié2015; Miola, Dal Porto, Tadmor, et al., Reference Miola, Dal Porto, Tadmor, Croatto, Scocco, Manchia, Carvalho, Maes, Vieta, Sambataro and Solmi2021). Compared to healthy controls (HC), adults with BD showcase elevated CRP levels during euthymia and depression, with the highest levels observed during mania, as demonstrated in meta-analytic findings (Fernandes, Steiner, Molendijk, et al., Reference Fernandes, Steiner, Molendijk, Dodd, Nardin, Gonçalves, Jacka, Köhler, Karmakar, Carvalho and Berk2016). Moreover, current literature demonstrates higher CRP levels in youth with BD compared to HCs and positive correlations between CRP levels and mood symptom severity in individuals with BD (Munkholm et al., Reference Munkholm, Mäkinen, Maigaard, Coello, Pagsberg and Kessing2024; Zou et al., Reference Zou, Grigorian, Karthikeyan and Goldstein2022a).
Taken together, elevated CRP is associated with suicide attempts, BD, and the presence of suicide attempts among adults with BD specifically. However, studies have yet to examine the association of CRP with suicide risk (i.e. suicide attempts and NSSI) in youth with BD. In a subset of the current sample, our group has investigated associations of CRP with BD symptomatic status in youth cross-sectionally and prospectively (Karthikeyan, Dimick, Fiksenbaum, et al., Reference Karthikeyan, Dimick, Fiksenbaum, Jeong, Birmaher, Kennedy, Lanctôt, Levitt, Miller, Schaffer, Young, Youngstrom, Andreazza and Goldstein2022; Zou et al., Reference Zou, Grigorian, Karthikeyan and Goldstein2022a). The aforementioned studies demonstrated elevated CRP in symptomatic youth with BD compared to HCs and greater CRP levels predicting increased time to recovery from the initial symptomatic episode (Karthikeyan, Dimick, Fiksenbaum, et al., Reference Karthikeyan, Dimick, Fiksenbaum, Jeong, Birmaher, Kennedy, Lanctôt, Levitt, Miller, Schaffer, Young, Youngstrom, Andreazza and Goldstein2022; Zou et al., Reference Zou, Grigorian, Karthikeyan and Goldstein2022a). Given the early onset of BD and the high risk of suicide attempts and NSSI in youth with BD, along with prior evidence that inflammation is relevant to youth BD, we set out to examine potential relationships of CRP with suicide attempts and NSSI in this population. Notably, current literature highlights lower adverse childhood experiences, fewer depressive symptoms, greater self-esteem, and parental support in youth with NSSI compared to youth with lifetime suicide attempt (Brausch & Gutierrez, Reference Brausch and Gutierrez2009; Masi, Lupetti, D’Acunto, et al., Reference Masi, Lupetti, D’Acunto, Milone, Fabiani, Madonia, Berloffa, Lenzi and Mucci2021). These differences in risk factors for NSSI and suicide attempt in youth may relate in part to the association of CRP levels with the type of self-harm. For example, whereas higher CRP levels are associated with increased risk of lifetime suicide attempts (Courtet, Jaussent, Genty, et al., Reference Courtet, Jaussent, Genty, Dupuy, Guillaume, Ducasse and Olié2015), two youth studies found that CRP levels were not associated with NSSI (Bai, Asarnow, Babeva, & Irwin, Reference Bai, Asarnow, Babeva and Irwin2024; Kindler et al., Reference Kindler, Koenig, Lerch, van der Venne, Resch and Kaess2022). We therefore hypothesized that CRP levels would be highest among youth with BD and a history of suicide attempt, followed by youth with BD and a history of NSSI, youth with BD with no prior suicide attempt or NSSI, and HC.
Methods
Participants
Participants included English-speaking youth ranging between 13 and 21 years of age. Youth who met diagnostic criteria for BD-I (bipolar I disorder), BD-II (bipolar II disorder), or BD-NOS (Not Otherwise Specified; akin to Other Specified Bipolar and Related Disorder) were recruited from a tertiary subspecialty clinic in Toronto, Canada. Youth were recruited for four different study protocols (including biomarker and neuroimaging studies) that used the same interview measures, CRP measurement, and protocol described in this study (REB 032–2012, 347–2011, 409–2013, and 405–2014). The Kiddie Schedule for Affective Disorders and Schizophrenia for School Age Children, Present and Lifetime version (K-SADS-PL) semi-structured diagnostic interview was administered to all participants to determine lifetime history of psychiatric diagnoses (Kaufman, Birmaher, Brent, et al., Reference Kaufman, Birmaher, Brent, Rao, Flynn, Moreci, Williamson and Ryan1997). HC youth were recruited through advertisements within the local community. Prior to involvement in any study procedures, written informed consent was obtained from all participants in addition their parents/guardians. Participants from all groups were excluded if they were unable to provide informed consent or used anti-inflammatory medication, or indicated an infectious disease within the past 14 days. Additionally, participants with pre-existing cardiac, inflammatory, or autoimmune conditions were excluded. HC participants were screened for the absence of mood or psychiatric disorders, psychotic disorders, exposure to psychiatric medication within the past three months, family history of BD in first or second degree, or recent alcohol/drug dependence. A total of 107 youth with BD and 104 HC youth were eligible for participation. All study protocols were approved by the local research ethics board.
Psychiatric measures
To confirm clinical diagnoses of BD-I and BD-II, the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) was utilized as the recruitment for the study began in 2012, prior to the publication of the K-SADS-PL corresponding to the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) (Kaufman, Birmaher, Brent, et al., Reference Kaufman, Birmaher, Brent, Rao, Flynn, Moreci, Williamson and Ryan1997 ). Research staff with at least a bachelor’s or master’s degree conducted interviews to collect information using the aforementioned measures, with diagnoses subsequently confirmed by a child-adolescent psychiatrist. Diagnosis for BD-NOS was confirmed using the DSM-5 symptom count requirements, determining duration of symptoms and number of hypomanic days as operationalized and outlined in the Course of Bipolar Youth (COBY) study (Birmaher, Axelson, Strober, et al., Reference Birmaher, Axelson, Strober, Gill, Valeri, Chiappetta, Ryan, Leonard, Hunt, Iyengar and Keller2006). The age when participants first experienced hypomania or mania was defined as the age of onset of BD. Severity of mood symptoms for the current mood episode (worst week in the past month) and most severe lifetime episode were assessed using participant scores on the KSADS Depression Rating Scale (DRS) and Mania Rating Scale (MRS) (Axelson, Birmaher, Brent, et al., Reference Axelson, Birmaher, Brent, Wassick, Hoover, Bridge and Ryan2003; Chambers, Puig-Antich, Hirsch, et al., Reference Chambers1985). The Family History Screen Interview was utilized to assess family psychiatric history in first- and second-degree relatives (Weissman et al., Reference Weissman, Wickramaratne, Adams, Wolk, Verdeli and Olfson2000), while the K-SADS-PL interview gathered data on medication, substance use, and lifetime cigarette smoking. Research Electronic Data Capture (REDCap) tools were utilized to collect and organize data, with record audit trails being recorded regarding study data manipulation and export (Harris et al., Reference Harris, Taylor, Thielke, Payne, Gonzalez and Conde2009; Harris, Taylor, Minor, et al., Reference Harris, Taylor, Minor, Elliott, Fernandez, O’Neal, McLeod, Delacqua, Delacqua, Kirby and Duda2019).
Suicide risk assessment
The Adolescent Longitudinal Interval Follow-Up Evaluation (A-LIFE) Self-Injurious/Suicidal Behavior Scale was utilized to assess past suicidal attempts or NSSI, with additional information collected regarding method, intent, and medical threat (Keller, Lavori, Friedman, et al., Reference Keller, Lavori, Friedman, Nielsen, Endicott, McDonald-Scott and Andreasen1987). A score of greater than or equal to 3 on both medical threat (‘mild’) and level of stated intent (‘definite but still ambivalent’) was considered a suicide attempt. Scores less than 3 within medical threat and/or intent were classified as NSSI. Individuals with no self-harm included participants with no history of suicide attempt and NSSI. Information was collected directly from youth, informants, parent/guardian reports, and available medical records. Sources of information were cross-referenced to confirm the history of suicide attempt. A detailed description of the A-LIFE Self-Injurious/Suicidal Behavior and PSR scales can be found in Supplemental Table 1.
Anthropometric measures
Physical development was evaluated as Tanner Stage using the Pubertal Developmental Scale (Petersen, Crockett, Richards, & Boxer, Reference Petersen, Crockett, Richards and Boxer1988). A digital scale and wall-mounted stadiometer were used to measure participant weight and height twice, with the average obtained for accuracy purposes (Krebs et al., Reference Krebs, Himes, Jacobson, Nicklas, Guilday and Styne2007). Height and weight were measured twice to calculate BMI using standardized procedures (Krebs et al., Reference Krebs, Himes, Jacobson, Nicklas, Guilday and Styne2007). Weight was adjusted for clothing differences, specifically by subtracting 1.3 kg for participants in long pants and a long-sleeved shirt, 1.1 kg for short pants or a short-sleeved shirt, and 0.9 kg for short pants and short-sleeved shirts. A third measurement was conducted when there was a difference of >1 cm in height or > 0.3 kg in weight between the first two measurements (Krebs et al., Reference Krebs, Himes, Jacobson, Nicklas, Guilday and Styne2007). BMI percentile is the measure suggested by the CDC for youth, as natural growth in height and weight are not accounted for in absolute BMI measurements (Harrington et al., Reference Harrington, Staiano, Broyles, Gupta and Katzmarzyk2012). According to CDC growth charts, for participants aged from 13 years to 19 years and 11 months, BMI percentile was calculated using age and sex-specific reference data. As CDC reference data are not available beyond age 20, the age 19 BMI percentile cutoffs were applied to participants aged 20–21 (Centers for Disease Control and Prevention, 2025).
CRP assay
Participants were asked to fast for 10 hours prior to blood sample collection via antecubital venipuncture. Additionally, participants were instructed to abstain from tobacco, alcohol, and illicit drug use for 24 hours before their study visit. Trained hospital laboratory staff, blind to participant grouping, measured CRP levels in serum with a minimum detection level of 0.2 mg/L using the Tina-Quant C-Reactive Protein (CRPL3) Gen.3 turbidimetric immunoassay on a Roche Cobas® 702 analyzer (Roche Diagnostics, IN, USA). Values reported as <0.2 mg/L were entered as 0.2 mg/L. CRP was measured at the hospital clinical laboratory in real time and was not stored in a freezer prior to analysis. As a result, information regarding coefficients of variation is not available.
Selection of covariates
The covariates were selected based on prior literature and associations with CRP and to maintain consistency with other studies by our group. Age and sex were included as they account for significant biological and demographic differences. As Tanner’s stage is correlated with age, it was not included in the analysis. CRP has been associated with mood symptom burden in youth with BD; however, this relationship may be partly related to BMI (Zou et al., Reference Zou, Grigorian, Karthikeyan and Goldstein2022a). Hence, we included BMI percentile in the primary analysis. We also included current and lifetime mania and depression scores as sensitivity analyses. Current mood was utilized as a covariate as it was more proximal to CRP measurement and our group has previously found elevated CRP levels to be associated with symptomatic youth with BD (Zou et al., Reference Zou, Grigorian, Karthikeyan and Goldstein2022a). Medications, including lithium have also been associated with altered CRP levels (Queissner, Lenger, Birner, et al., Reference Queissner, Lenger, Birner, Dalkner, Fellendorf, Bengesser, Platzer, Hamm, Maget, Reininghaus, Ratzenhofer, Schuller, Mangge, Kapfhammer and Reininghaus2021), and were thus also included as covariates in sensitivity analyses. Literature indicates lifetime smoking exposure is associated with elevated CRP, even following cessation (Hastie, Haw, & Pell, Reference Hastie, Haw and Pell2008). Thus, we included lifetime smoking as a covariate in sensitivity analyses.
Statistical analysis
The IBM Statistical Package for Social Sciences (SPSS) version 27 was used to conduct all statistical analyses (IBM; NY, USA). Group differences in clinical and demographic characteristics between BD youth with a history of suicide attempt (BDSA), those with a history of NSSI (BDNSSI), those with no history of suicide attempt or NSSI (BDNo-SA/NSSI), and HC youth were investigated. Normality and homogeneity of variance for continuous variables were assessed using Shapiro–Wilk’s and Levene’s test, respectively. Categorical variables were analyzed using chi-square tests and continuous variables were examined with one-way analysis of variance (ANOVA) or t-tests to compare group differences with respect to demographic and clinical characteristics. Welch’s t-test was used in circumstances where Levene’s test was violated.
The analysis of covariance (ANCOVA) test was utilized to examine group differences in CRP, with age, sex, and BMI percentile included as covariates. Normality of model residuals was examined qualitatively using a Q-Q plot. Given that the raw CRP values yielded model residuals that were not normally distributed, CRP underwent a logarithmic transformation. Log-transformed CRP values met normality assumptions for ANOVA (Supplemental Figure 1). Sensitivity analyses were conducted to examine the effects of lifetime smoking status, current MRS/DRS scores, lifetime most severe past MRS/DRS scores, current lithium, and current second-generation antipsychotic use. These variables were entered individually as covariates in a series of ANCOVA models, also controlling for age, sex, and BMI percentile. Any significant outcomes in ANCOVA or ANOVA tests were further analyzed using Tukey’s pairwise post hoc tests.
Results
Demographic and clinical characteristics
A total of 211 youth (23 BDSA, 45 BDNSSI, 39 BDNo-SA/NSSI and 104 HC) completed blood sampling and interview procedures, demographic and physical characteristics relevant to each group are reported in Table 1. BDNo-SA/NSSI and BDNSSI groups had significantly higher mean age, lower global functioning scores for the highest level of functioning, and lower global functioning current episode scores compared to HC youth. There was a significantly greater proportion of females in the BDNSSI compared to BDNo-SA/NSSI and HC. The BDNo-SA/NSSI group also had a significantly higher percentage of Caucasian participants compared to HC. BMI and BMI percentile were significantly higher in all groups with BD compared to HC.
Demographic and physical characteristics
Note: Test statistic represents F, t, or χ2. Effect sizes are Cramer’s V, η 2, or Cohen’s d. Values are reported in mean ± standard deviation unless otherwise indicated. BD, bipolar disorder; CGAS, Children’s Global Assessment Scale; SES, socioeconomic status; SD, standard deviation. Raw CRP means and standard deviations reported. Post hoc pairwise comparisons: a = significant BDNo-SA/NSSI versus controls; b = significant BDNSSI versus controls; c = significant BDSA versus controls; d = significant BDNo-SA/NSSI versus BDNSSI; e = significant BDSA versus BDNo-SA/NSSI; f = significant BDSA versus BDNSSI.
* Homogeneity of variance violated, Welch test reported.
Clinical characteristics of 107 youth with BD are reported by suicide risk groups in Table 2. Prevalence of lifetime psychosis was significantly greater in the BDNo-SA/NSSI group compared to BDNSSI. Higher rates of lifetime suicidal ideation and lifetime any anxiety disorder were seen in the BDNSSI group compared to the BDNo-SA/NSSI group. There was a greater incidence of lifetime suicidal ideation, encounters with police, and lifetime psychiatric hospitalization in the BDSA group compared to BDNSSI and BDNo-SA/NSSI groups. Number of anxiety disorders, current, and lifetime depression scores were significantly greater in the BDNSSI group compared to the BDNo-SA/NSSI group. Finally, compared to the BDNo-SA/NSSI group, the BDSA group had significantly higher lifetime depression score, current mania score, and use of SSRI antidepressants. There were no significant differences among groups related to current medication use and family psychiatric history, including family history of suicide attempt.
Clinical characteristics
Note: Test statistic represents F, t, or χ2. Effect sizes are Cramer’s V, η 2, or Cohen’s d. Values are reported in mean ± standard deviation unless otherwise indicated. BD = Bipolar disorder; ADHD = Attention Deficit-Hyperactivity Disorder; SGA = Second-generation Antipsychotic; SSRI = Selective Serotonin Reuptake Inhibitor. Depression score based on Depression Rating Scale and mania score based on Mania Rating Scale. Post hoc pairwise comparisons: a = significant BDNo-SA/NSSI versus BDNSSI; b = significant BDSA versus BDNo-SA/NSSI; c = significant BDSA versus BDNSSI.
* Homogeneity of variance violated, Welch test reported.
CRP and suicide risk
In multivariable analyses controlling for age, sex, and BMI percentile, mean CRP levels were significantly different between groups with a medium effect size (Figure 1; F 3,204 = 3.40, p = 0.02, ηp 2 = 0.05). Post hoc analyses indicated significantly higher CRP levels in the BDSA group (2.83 ± 3.07 mg/L) compared with the HC (0.81 ± 0.90; p < 0.001) and BDNo-SA/NSSI (1.42 ± 2.31, p = 0.008) groups. However, the difference in CRP levels between the BDSA group (2.83 ± 3.07 mg/L) and the BDNSSI group (1.79 ± 2.17 mg/L; p = 0.11) was not significant.
ANCOVA analysis of log-transformed mean CRP levels. Mean CRP levels were significantly different between groups (F 3,204 = 3.40, p = 0.02, ηp 2 = 0.05). Post hoc analyses indicated significantly higher CRP levels in the BDSA group (2.83 ± 3.07 mg/L) compared with the controls (0.81 ± 0.90; p = 0.003) and BDNo-SA/NSSI (1.42 ± 2.31, p = 0.01) groups. The difference in CRP levels between the BDSA group (2.83 ± 3.07 mg/L) and the BDNSSI group (1.79 ± 2.17 mg/L; p = 0.11) was not significant. Groups: Controls = Healthy Controls, BDNo-SA/NSSI = youth with BD and history of no suicide attempt or NSSI, BDNSSI = youth with BD and history of NSSI, BDSA = youth with BD and history of suicide attempt.
Sensitivity analyses
The results regarding group differences in CRP levels of the BDSA group compared to HC and BDNo-SA/NSSI groups remained significant when conducting separate sensitivity analyses for current depression score (F 3,203 = 3.31, p = 0.02, ηp 2 = 0.05), current mania score (F 3,203 = 4.05, p < 0.01, ηp 2 = 0.06), current lithium use (F 3,203 = 3.58, p = 0.02, ηp 2 = 0.05), current second generation antipsychotic use (F 3,203 = 4.42, p = 0.03, ηp 2 = 0.04), lifetime mania score (F 3,203 = 4.53, p < 0.01, ηp 2 = 0.06), and lifetime smoking (F 3,203 = 2.71, p = 0.046, ηp 2 = 0.04) as covariates in combination with age, sex, and BMI percentile. Group differences were no longer significant in sensitivity analysis, controlling for the most severe past depression score (p = 0.19).
Discussion
Building on prior findings in adults with BD, this study examined CRP in relation to suicidality among youth with BD in a relatively large clinical sample. CRP levels were significantly higher among youth with BD and a history of suicide attempts compared to youth with BD with no history of non-suicidal self-injury or suicide attempt and HCs. Among youth with BD, it is noteworthy that suicide attempt was not associated with significantly different CRP levels compared to non-suicidal self-injury. These results add to the limited literature regarding the association of CRP and suicide risk, extending this line of research to youth with BD who comprise a group at highly elevated risk for suicide.
Prior research based on a largely overlapping sample found minimal differences in the clinical characteristics of BDSA and BDNSSI. This may explain the specific association between CRP and suicide attempt in the current study. Given that the majority of BDSA youth also had lifetime NSSI, one could posit that their elevated CRP levels reflect an additive effect with NSSI. However, given that CRP levels for BDNSSI did not differ from BDNo-SA/NSSI youth or HC, it appears that the association with elevated CRP is specific to suicide attempts. A prior study of 51 adolescents found that higher IL-6 levels predict greater frequency of suicide attempts or NSSI over three months. Post hoc analyses were significant for NSSI but not suicide attempts (Bai, Asarnow, Babeva, & Irwin, Reference Bai, Asarnow, Babeva and Irwin2024). A similar pattern was evident for CRP, but it was not significant (Bai et al., Reference Bai, Asarnow, Babeva and Irwin2024). The discrepancy between the prior and current studies may relate to differences in psychiatric diagnoses and timeframe (lifetime versus three months).
CRP has also previously been proposed as a trait marker of suicide, as levels differed significantly between suicide attempters and non-attempters, whereas there were no differences between individuals with recent versus distant suicide attempts in a study of 600 adult inpatients with varying Axis I disorders (Courtet, Jaussent, Genty, et al., Reference Courtet, Jaussent, Genty, Dupuy, Guillaume, Ducasse and Olié2015). Meanwhile, a study observing inflammation in adolescent females with high risk of NSSI and suicidal behavior and history of NSSI found no association between CRP and history of NSSI in comparison to HC (Kindler et al., Reference Kindler, Koenig, Lerch, van der Venne, Resch and Kaess2022). These findings support the current findings and the narrative that a history of suicide attempt may be marked through relatively greater CRP levels compared to groups with no history of self-harm, while the same is not seen in individuals with a history of NSSI. Events of NSSI may function to minimize negative emotions and suppress more lethal impulses of self-harm (Pompili, Goracci, Giordano, et al., Reference Pompili, Goracci, Giordano, Erbuto, Girardi, Klonsky and Baldessarini2015), potentially representing a less severe, if not less chronic/recurrent, psychopathological profile compared to a suicide attempt.
While the current cross-sectional study was not designed to evaluate temporal associations or mechanisms, prior informative studies are relevant to the current findings. For example, treatment with interferon-α, a pro-inflammatory cytokine, is known to precipitate depression among a subset of individuals (Lotrich, Albusaysi, & Ferrell, Reference Lotrich, Albusaysi and Ferrell2013). However, there is also evidence that interferon-α treatment may precipitate new-onset suicide attempts (Sockalingam, Links, & Abbey, Reference Sockalingam, Links and Abbey2011). This speaks to the potential mechanistic effect of elevated CRP on the risk of suicide attempt. Potential factors underlying the link between CRP and suicide attempt include genetics, the kynurenine pathway, neurocognitive dysfunction, monoamine metabolism, and the hypothalamic–pituitary axis (Brundin, Bryleva, & Thirtamara Rajamani, Reference Brundin, Bryleva and Thirtamara Rajamani2016). Oxidative stress, which is often associated with inflammation, has also been associated with lower white matter integrity in youth with BD compared to healthy controls (Zou et al., Reference Zou, Grigorian, Kennedy, Zai, Shao, Kennedy, Andreazza, Ameis, Heyn, Maclntosh and Goldstein2022b). Another plausible mechanism may be neuroinflammation as a result of CRP inducing greater blood–brain barrier permeability, which may be further exaggerated due to obesity (Hsuchou, Kastin, Mishra, & Pan, Reference Hsuchou, Kastin, Mishra and Pan2012). In a prior paper published by our group in a subset of the current sample, elevated CRP was associated with lower cortical thickness and higher cortical surface area, supporting the aforementioned hypothesis (Shao et al., Reference Shao, Zou, Kennedy, Dimick, MacIntosh and Goldstein2023). Current hypotheses for inflammation in BD propose that increased levels of cell death and neuronal density in the central nervous system lead to elevated peripheral markers of apoptosis in individuals with BD (Fries, Walss-Bass, Bauer, & Teixeira, Reference Fries, Walss-Bass, Bauer and Teixeira2019). Overall, cognitive impairment associated with suicide attempts or NSSI may be explained through the neuroinflammatory effects of CRP.
Notably, we found differences in clinical characteristics and course of illness between groups of youth with BD. For instance, youth with BD and a history of suicide attempt demonstrated significantly higher SSRI antidepressant use and trended towards higher proportional use of SGAs, stimulants, and non-SSRI antidepressants compared to other youth with BD without a history of suicide attempt. Furthermore, youth with BD and a history of suicide attempt also indicated significantly greater depression and mania scores compared to youth with no suicide attempt or NSSI. This may represent a more severe course of illness, requiring increased use of medication. Significantly greater lifetime suicidal ideation and legal history in the BDNSSI and BDSA groups compared to BDNo-SA/NSSI also align with prior literature describing past suicidal ideation and impulsivity as risk factors/predictors of suicide attempt or NSSI.
There are several limitations of the current study that warrant discussion. First, the cross-sectional design of this study limits the ability to interpret directionality of the findings and limits causal inference due to potential confounding factors. Variables including, but not limited to, genetics, BMI, comorbid conditions, medications, adverse childhood experiences, and stress may be responsible for the association between CRP and suicide attempt. For instance, chronic stress, daily interpersonal stress, and living in vulnerable neighborhoods have been associated with elevated CRP in youth (Condon, Reference Condon2018). Additionally, chronic stress is hypothesized to be linked with depression. (Hammen, Reference Hammen2015) Therefore, chronic stress is another variable that may have influenced CRP, which we could not assess in the current study. Nonetheless, CRP is ubiquitous and objective. As such, even if the association is not causal, it can still serve a pragmatic role in screening. Second, variability in the severity and timing of suicide attempt or NSSI may have impacted current findings. While the sample size was relatively large for a clinical study, it does not provide sufficient power to examine factors such as severity and frequency of suicide attempt or NSSI, or to test comprehensive covariate models. Particularly, only 23 individuals had a history of suicide attempt, the current study was underpowered to draw associations between the type of suicide attempt, frequency, and temporal proximity to CRP sample collection. Furthermore, consistent with the epidemiology of BD, the sample is highly heterogeneous in terms of demographic, clinical, and familial characteristics. Since only CRP was measured, we cannot conclude whether findings are specific to CRP or CRP reflects downstream effects of pro-inflammatory cytokines such as IL-6 (Sproston & Ashworth, Reference Sproston and Ashworth2018). Findings were robust to all sensitivity analyses, except for the lifetime most severe past depression score. This may underline the interplay between chronic stress, depression severity, suicide attempt, and inflammation. While BMI significantly differed between BD and HC groups, there were no differences among BDNo-SA/NSSI, BDNSSI, and BDSA groups. This finding may reflect mechanisms whereby BMI accounts for long-term reward and executive dysfunction in adolescence and BD independently, as shown in reviews and neuroimaging studies (Bora, McIntyre, & Ozerdem, Reference Bora, McIntyre and Ozerdem2018). Cognitive deficits have also been associated with elevated CRP levels in youth with BD and a history of suicide attempt and NSSI (Dickerson et al., Reference Dickerson, Stallings, Origoni, Vaughan, Khushalani and Yolken2013; Dimick, Sultan, Kennedy, et al., Reference Dimick, Sultan, Kennedy, Rizvi, Forbes, Sinyor, McIntyre, Youngstrom and Goldstein2023), suggesting common pathways of inflammation related to cognition, BMI, and suicide attempt.
In conclusion, the current findings highlight increased CRP levels in youth with BD and a history of suicide attempt compared to youth with BD and lifetime NSSI, without a history of suicide attempt or NSSI, and healthy controls. Future studies should incorporate a comprehensive assessment of covariates such as chronic stress and psychiatric comorbidities to better isolate the independent and interactive role of CRP. Additionally, studies with prospective designs can provide greater insight into the temporal relationship of CRP and inflammation with individual risk of suicide attempt or NSSI. Additionally, the relationship of severity, intent, and method of suicide attempt or NSSI with CRP should be examined. By building upon this literature, we may better elucidate the connection between inflammation and suicide risk in youth with BD. Currently, the assessment of suicide risk in individuals with BD requires routine investigation through clinical interview, which may be unreliable due to its subjective nature. Furthermore, clinicians lack measures and BD-specific tools to evaluate suicide risk. From a clinical perspective, CRP is an accessible marker and may serve as an index of risk before or after a suicide attempt. Thus, while directionality cannot be determined by the current study, further research may provide insight into the use of CRP as a biomarker to objectively assist in the assessment of suicide risk in this at-risk population.
Supplementary material
The supplementary material for this article can be found at http://doi.org/10.1017/S0033291726103948.
Acknowledgements
Dr. Dimick reports post-doctoral fellowship funding from the Canadian Institutes of Health Research. Dr. Goldstein acknowledges research funding from Brain Canada, Canadian Institutes of Health Research, Heart and Stroke Foundation, National Institute of Mental Health, the Department of Psychiatry at the University of Toronto, Sunnybrook Health Sciences Centre and the CAMH Foundation. Dr. Goldstein also acknowledges his position as RBC Investments Chair in Children’s Mental Health and Developmental Psychopathology at CAMH, a joint Hospital-University Chair between the University of Toronto, CAMH, and the CAMH Foundation. The authors would like to thank all participants, their families, and the staff at the Centre for Youth Bipolar Disorder.
Author contribution
Dharmayu Desai and Mikaela Dimick performed data processing, analysis, and interpreted results. Dharmayu Desai prepared the figures and manuscript. Mikaela Dimick, Kody Kennedy, and Benjamin Goldstein provided assistance with statistical analysis. Mikaela Dimick, Kody Kennedy, Megan Mio, Alysha Sultan, and Benjamin Goldstein provided technical guidance and revised the manuscript. Megan Mio, Alysha Sultan, and Benjamin Goldstein contributed to study conception, experimental design, and assisted with manuscript preparation.
Funding statement
This research was supported by grant (MOP-119525) and grant (MOP-136947) from the Canadian Institutes of Health Research (CIHR), NARSAD grant from the Brain & Behavior Foundation, Heart and Stroke Foundation, University of Toronto Miner’s Lamp, and the Brenda Smith Fund at Sunnybrook Health Sciences Centre.
Competing interests
None declared.
Open access
