Effects of anti-inflammatory therapy in acute heart failure: a systematic review and meta-analysis

We examined current evidence regarding the effects of anti-inflammatory therapies in patients with acute heart failure (AHF) on the risk of cardiovascular outcomes, inflammatory markers, natriuretic peptides, and renal function. Despite growing evidence that inflammation plays a pivotal role in both the development and progression of heart failure, including AHF, only a few trials have been conducted to date in patients with AHF. A systematic literature search of PubMed, Medline, the Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov was conducted in November 2024 to identify randomized controlled trials (RCTs) evaluating anti-inflammatory therapies in adult patients with AHF. Meta-analyses were conducted to estimate effects on clinical outcomes (death, HF readmission, or worsening HF) and inflammatory and other markers. Five RCTs were identified that enrolled a total of 289 patients to an anti-inflammatory intervention and 273 to a control. Prednisone was examined in two RCTs, anakinra in two, and colchicine in one. Three of the five trials required elevated C-reactive protein (CRP) level for entry. Anti-inflammatory therapy was associated with a reduced risk of the composite outcome (hazard ratio 0.55 [95% CI 0.35–0.86]) and an overall 54% greater reduction in CRP to end of therapy (ratio of geometric mean ratios 0.46 [95% CI 0.29–0.73]), which varied across studies. NT-proBNP and creatinine were not significantly affected. The analysis is limited by the small number of studies but suggests that anti-inflammatory therapy reduces inflammation and may reduce the risk of adverse clinical outcomes in patients with AHF

Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cases and controls in schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). We apply univariate and bivariate methods for the estimation of genetic variation within and covariation between disorders. SNPs explained 17-29% of the variance in liability. The genetic correlation calculated using common SNPs was high between schizophrenia and bipolar disorder (0.68 ± 0.04 s.e.), moderate between schizophrenia and major depressive disorder (0.43 ± 0.06 s.e.), bipolar disorder and major depressive disorder (0.47 ± 0.06 s.e.), and ADHD and major depressive disorder (0.32 ± 0.07 s.e.), low between schizophrenia and ASD (0.16 ± 0.06 s.e.) and non-significant for other pairs of disorders as well as between psychiatric disorders and the negative control of Crohn's disease. This empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders