Neuropsychobiology最新文献

Introduction: Evidence has suggested an association between bacterial infection and increased risk of subsequent major mental disorders (MMDs). Whether such association varies with different pathogens remains unclear. We aimed to investigate the risk of subsequent MMDs after exposure to bacterial pathogens in children and adolescents.

Methods: Between 1997 and 2012, we enrolled a nationwide cohort of 14,024 children and adolescents with hospitalized bacterial infection, and noninfected controls were 1:4 matched for demographics. There were 11 investigated pathogens, namely, Streptococcus, Staphylococcus, Pseudomonas, Klebsiella, Hemophilus, Mycoplasma, Tuberculosis, Meningococcus, Escherichia, Chlamydia, and Scrub typhus. The primary outcomes were the subsequent risk of seven MMDs, namely, autism spectrum disorder (ASD), attention-deficiency hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD), tic disorder, schizophrenia, bipolar disorder, and depressive disorder. The secondary outcomes were the subsequent risk of exposure to psychotropic medications.

Results: Pooled bacterial infection was associated with increased risk of the six MMDs - ASD (reported as hazard ratios with 95% confidence intervals: 13.80; 7.40-25.75), ADHD (6.93; 5.98-8.03), OCD (3.93; 1.76-8.76), tic disorder (6.19; 4.44-8.64), bipolar disorder (2.50; 1.28-4.86), and depressive disorder (1.93; 1.48-2.51) - and exposure to four psychotropic medications, including ADHD drugs (11.81; 9.72-14.35), antidepressants (2.96; 2.45-3.57), mood stabilizers (4.51; 2.83-7.19), and atypical antipsychotics (4.23; 3.00-5.96) compared to controls. The associations among MMDs and specific pathogens varied. Importantly, Streptococcus was associated with the most MMDs (six MMDs), and ADHD was associated with eight bacterial pathogen infections.

Conclusions: After bacterial infection, the risk of MMDs increased in children and adolescents compared to controls, and such associations varied with different pathogens. Future studies are warranted to validate our study findings and investigate the potential mechanisms.

Introduction: Low-grade inflammation observed through abnormal plasma cytokine levels has been associated with post-traumatic stress disorder (PTSD). It is not clear whether PTSD independently causes the inflammation or if it is mainly through co-occurring somatic factors such as smoking and obesity. We wanted to explore the effects of biopsychosocial factors on cytokine levels in a clinical setting.

Methods: The sample consisted of 51 patients with PTSD, 58 trauma patients without PTSD, and 40 matched controls. We selected cytokines and relevant risk factors for systemic inflammation through pairwise correlations. Then, we used linear regression to analyze the individual and combined effects of these on the (Log10) cytokines, particularly estimating the effect of PTSD adjusted for other factors.

Results: Higher age, female gender, cigarette smoking, presence of lung and musculoskeletal disease, use of antipsychotic medication, and higher BMI were correlated with higher levels of interleukins IL-1RA, IL-2RA, and IL-6. In the adjusted regression analysis, higher BMI was associated with increased IL-1RA (B = 0.06, p < 0.01), IL-2RA (B = 0.01, p < 0.01), and IL-6 (B = 0.01, p = 0.03). Presence of musculoskeletal disease was associated with increased IL-1RA (B = 0.72, p < 0.01) and IL-6 (B = 0.16, p = 0.01), and decreased IL-2RA (B = -0.09, p < 0.01). Cigarette smoking (B = 0.16, p = 0.01) and presence of lung disease (B = 0.14, p = 0.02) were associated with increased IL-6. PTSD diagnosis was associated with decreased IL-2RA (B = -0.06, p = 0.04).

Discussion/conclusion: Altered cytokine levels in distressed trauma-affected individuals are probably mostly through co-occurring risk factors and not PTSD diagnosis. Increased BMI and musculoskeletal (pain) disease may be particularly strong risk factors and should be addressed.