Association of childhood trauma and genetic variability of CRH-BP and FKBP5 genes with suicidal behavior in bipolar patients.

BACKGROUND: Around 8% of bipolar disorder (BD) patients die by suicide every year, accounting for the highest rate among the psychiatric population. Suicidal behavior (SB) is mediated by an intertwining system of extrinsic and intrinsic factors. Childhood trauma (CT) and gene variants of the stress-management hypothalamic-pituitary-adrenal (HPA) axis have been reported as risk factors for SB. The aim of this study was to elucidate the association of CT and HPA axis genetic variants with SB. METHODS: 135 BD patients were recruited for clinical assessment of CT and SB by means of the Childhood Trauma Questionnaire (CTQ) and the Columbia Suicide Severity Rating Scale (C-SSRS), respectively. A total of 28 single nucleotide polymorphisms (SNPs) from 8 HPA axis genes (POMC, NR3C2, CRH-BP, NR3C1, FKBP5, CRHR2, CRHR1, and MC2R) were genotyped. RESULTS: The analyses showed an association of total CTQ score (p = 0.003), emotional abuse (p = 0.001), sexual abuse (p = 0.005) and emotional neglect (p = 0.005) with SB. CRH-BP rs7728378-C carriers (p = 0.004; OR = 3.05), FKBP5 rs3777747-AA (p = 0.039; OR = 0.34) and FKBP5 rs2766533-GG genotypes (p = 0.001; OR = 2.93) were associated with SB although only rs2766533 survived multiple test correction. No gene-environment interaction was found. LIMITATIONS: The relatively small sample size limits the statistical power to detect smaller environmental and genetic effects. Cross-sectional data collection in psychometric assessments can yield biased data. CONCLUSIONS: The present study characterizes novel SB risk factors and replicates previous findings in BD patients. CT and variability in CRH-BP and FKBP5 genes should be further studied for a better understanding of SB and ultimately help in suicide prevention.

Early versus late stage schizophrenia. What markers make the difference?

OBJECTIVES: To identify the psychopathological, cognitive, functional, physical health and inflammatory markers that differentiate between early-stage schizophrenia (ESSCH) and late-stage schizophrenia (LSSCH). METHODS: Cross-sectional, naturalistic study of 104 patients with SCH. The sample was divided in two groups: 35 ESSCH (≤7 years' duration of illness) and 69 LSSCH (>10 years' duration of illness). STATISTICAL ANALYSIS: chi-square test and Student's t-test and ANCOVA (or Quade test) controlling for age, sex, BMI and number of cigarettes/day. Finally, a binomial logistic regression was made. RESULTS: ESSCH show greater negative symptom severity (t = 2.465, p = 0.015), lower levels of IκBα (F = 7.644, p = 0.007), were more frequently classified as normal weight (40% vs 18.8%, p = 0.032) compared with LSSCH. The binomial logistic regression model included age (B = 0.127, p = 0.001) and IκBα (B = 0.025, p = 0.002) and accounted for 38.9% of the variance (model df =7, chi-square =41.841, p < 0.0001). CONCLUSIONS: Age and IκBα are the unique markers that differentiate between ESSCH patients whose duration of illness is less than 7 years and LSSCH patients. These results support the hypothesis of toxicity of episodes and highlight the importance of preventing new episodes.

Regulation of inflammatory pathways in schizophrenia: A comparative study with bipolar disorder and healthy controls.

BACKGROUND: Immune-inflammatory processes have been implicated in schizophrenia (SCH), but their specificity is not clear. MAIN AIM: To identify potential differential intra-/intercellular biochemical pathways controlling immune-inflammatory response and their oxidative-nitrosative impact on SCH patients, compared with bipolar disorder (BD) patients and healthy controls (HC). METHODS: Cross-sectional, naturalistic study of a cohort of SCH patients (n=123) and their controls [BD (n=102) and HC (n=80)]. STATISTICAL ANALYSIS: ANCOVA (or Quade test) controlling for age and gender when comparing the three groups, and controlling for age, gender, length of illness, cigarettes per day, and body mass index (BMI) when comparing SCH and BD. RESULTS: Pro-inflammatory biomarkers: Expression of COX-1 was statistically higher in SCH and BD than HC (P<0.0001; P<0.0001); NFκB and PGE2 were statistically higher in SCH compared with BD (P=0.001; P<0.0001) and HC (P=0.003; P<0.0001); NLRP3 was higher in BD than HC (P=0.005); and CPR showed a gradient among the three groups. Anti-inflammatory biomarkers: BD patients had lower PPARγ and higher 15d-PGJ2 levels than SCH (P=0.005; P=0.008) and HC (P=0.001; P=0.001). Differences between SCH and BD: previous markers of SCH (NFκB and PGE2) and BD (PPARγ and 15d-PGJ2) remained statistically significant and, interestingly, iNOS and COX-2 (pro-inflammatory biomarkers) levels were statistically higher in SCH than BD (P=0.019; P=0.040). CONCLUSIONS: This study suggests a specific immune-inflammatory biomarker pattern for established SCH (NFκB, PGE2, iNOS, and COX-2) that differentiates it from BD and HC. In future, their pharmacological modulation may constitute a promising therapeutic target.